python /home/admin/mtr/script_for_cron.py -j python_test3 -m 12 -a ' --short_python3 -v ' -s python_test3 -M 0 -S 0 -U 100,100,120
 import MySQLdb succeeded 
Import error (python version)
python version = 3
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
 list_job_run_as_list :  ['mask_detection', 'datou', 'CacheModelData_queries', 'CachePhotoData_queries', 'test_fork', 'prepare_maskdata', 'portfolio_queries', 'sla_mensuel']
python version used : 3
 liste_fichiers : [('tests/mask_test', True, 'Test mask-detection ', 'mask_detection'), ('tests/datou_test', True, 'Datou All Test', 'datou', 'all'), ('mtr/database_queries/CacheModelData_queries', True, 'Test Cache Model Data', 'CacheModelData_queries'), ('tests/cache_photo_data_test', True, 'Test local_cache_photo ', 'CachePhotoData_queries'), ('mtr/mask_rcnn/prepare_maskdata', True, 'test prepare mask data', 'prepare_maskdata', 'all'), ('mtr/database_queries/portfolio_queries', True, 'test portfolio queries', 'portfolio_queries'), ('prod/memo/memo', True, 'SLA Mensuel', 'sla_mensuel', 'all')]


#&_# BEGIN OF TEST : tests/mask_test #&_# 


/home/admin/workarea/git/Velours/python/tests/mask_test.py
<module 'tests.mask_test' from '/home/admin/workarea/git/Velours/python/tests/mask_test.py'>
Test mask-detection 
python version used : 3

############################### TEST memory used  ################################
free memory at begining : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 10553

run mask_detect

Inside batchDatouExec : verbose : False
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.2601935863494873
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Sun Feb  2 03:35:28 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 10553  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
/home/admin/workarea/git/Velours/python/tests/python_tests.py:11: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
2025-02-02 03:35:31.055717: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-02 03:35:31.083469: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493020000 Hz
2025-02-02 03:35:31.085560: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f60b8000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-02 03:35:31.085643: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-02 03:35:31.089713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-02 03:35:31.336462: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x39f5a740 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-02 03:35:31.336513: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-02 03:35:31.337311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:35:31.337639: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:35:31.339584: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:35:31.345006: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:35:31.345313: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:35:31.347606: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:35:31.348682: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:35:31.353452: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:35:31.354981: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:35:31.355059: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:35:31.355900: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-02 03:35:31.355919: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-02 03:35:31.355929: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-02 03:35:31.357343: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9777 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

Inside mask_sub_process
Inside mask_detect 
About to load cache.load_thcl_param 
To do loadFromThcl(), then load ParamDescType : thcl454
 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3473
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21))
{'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0}
list_class_names : 
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
2025-02-02 03:35:31.938463: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:35:31.938548: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:35:31.938577: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:35:31.938603: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:35:31.938628: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:35:31.938652: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:35:31.938692: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:35:31.938718: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:35:31.940807: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:35:31.941881: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:35:31.941909: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:35:31.941925: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:35:31.941939: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:35:31.941953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:35:31.941967: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:35:31.941981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:35:31.941995: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:35:31.943292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:35:31.943328: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-02 03:35:31.943341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-02 03:35:31.943351: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-02 03:35:31.944704: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9777 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
Using TensorFlow backend.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


model_param file didn't exist 
model_name : mask_coco_origin
model_type : mask_rcnn
list file need :
['mask_model.h5']
file exist in s3 :
['mask_model.h5']
file manque in s3 : 
[]
2025-02-02 03:35:39.178511: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:35:39.337782: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
local folder  : /data/models_weight/mask_coco_origin


/data/models_weight/mask_coco_origin/mask_model.h5
size_local : 257557808 size in s3 : 257557808
create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17
mask_model.h5 already exist and didn't need to update
 list_images length : 1
NEW PHOTO
Processing 1 images
image                    shape: (480, 640, 3)         min:    0.00000  max:  255.00000
molded_images            shape: (1, 640, 640, 3)      min: -123.70000  max:  151.10000
image_metas              shape: (1, 89)               min:    0.00000  max:  640.00000
nb d'objets trouves : 5
Detection mask done !
Trying to reset tf kernel
2241653
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 5264
tf kernel not reseted
sub process len(results) : 1 len(list_Values) 0
None
max_time_sub_proc : 3600
parent process len(results) : 1 len(list_Values) 0
process is alive
finish correctly or not : True

 after detect 

begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 10553
list_Values should be empty []
To do loadFromThcl(), then load ParamDescType : thcl454
Catched exception !
Connect or reconnect !
 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3473
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']
time for calcul the mask position with numpy : 0.0005438327789306641
nb_pixel_total : 15556
time to create 1 rle with old method : 0.018446922302246094
length of segment :  256
time for calcul the mask position with numpy : 0.0027778148651123047
nb_pixel_total : 145332
time to create 1 rle with old method : 0.16067886352539062
length of segment :  371
time for calcul the mask position with numpy : 0.00027108192443847656
nb_pixel_total : 14255
time to create 1 rle with old method : 0.01731562614440918
length of segment :  151
time for calcul the mask position with numpy : 0.0001347064971923828
nb_pixel_total : 5614
time to create 1 rle with old method : 0.0069065093994140625
length of segment :  48
time for calcul the mask position with numpy : 5.91278076171875e-05
nb_pixel_total : 1824
time to create 1 rle with old method : 0.002555370330810547
length of segment :  39

time spent for convertir_results : 0.978273868560791

time spend for datou_step_exec : 17.808908462524414
time spend to save output : 4.100799560546875e-05
total time spend for step 1 : 17.80894947052002

caffe_path_current : 
About to save ! 1
Inside saveOutput : final : True verbose : False
eke 12-6-18 : saveMask need to be cleaned for new output !
Number saved : None
batch 1
Loaded 3260 chid ids of type : 445
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
time used for this insertion : 0.018984556198120117

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'957285035': [[(957285035, 492601069, 445, 0, 186, 22, 282, 0.99549806, [(140, 26, 6), (135, 27, 15), (133, 28, 18), (131, 29, 22), (127, 30, 27), (10, 31, 1), (120, 31, 35), (8, 32, 13), (27, 32, 3), (115, 32, 41), (7, 33, 52), (109, 33, 48), (6, 34, 70), (103, 34, 55), (5, 35, 154), (4, 36, 155), (3, 37, 156), (3, 38, 156), (3, 39, 156), (2, 40, 157), (2, 41, 157), (2, 42, 157), (2, 43, 157), (2, 44, 157), (2, 45, 157), (1, 46, 158), (1, 47, 158), (1, 48, 158), (1, 49, 157), (1, 50, 157), (1, 51, 156), (1, 52, 156), (1, 53, 155), (1, 54, 154), (1, 55, 152), (1, 56, 149), (1, 57, 145), (1, 58, 141), (1, 59, 137), (1, 60, 133), (1, 61, 130), (1, 62, 127), (1, 63, 126), (1, 64, 124), (1, 65, 123), (1, 66, 121), (1, 67, 120), (1, 68, 118), (1, 69, 117), (1, 70, 116), (1, 71, 115), (1, 72, 114), (1, 73, 113), (1, 74, 112), (1, 75, 111), (1, 76, 110), (1, 77, 108), (1, 78, 108), (1, 79, 107), (1, 80, 106), (1, 81, 106), (2, 82, 104), (2, 83, 103), (2, 84, 103), (2, 85, 102), (2, 86, 102), (2, 87, 101), (2, 88, 100), (2, 89, 99), (2, 90, 99), (2, 91, 98), (2, 92, 97), (2, 93, 96), (2, 94, 95), (2, 95, 93), (2, 96, 91), (2, 97, 90), (2, 98, 89), (2, 99, 87), (2, 100, 86), (2, 101, 86), (2, 102, 85), (2, 103, 84), (2, 104, 83), (2, 105, 83), (2, 106, 82), (2, 107, 81), (2, 108, 80), (2, 109, 80), (2, 110, 79), (2, 111, 78), (2, 112, 77), (2, 113, 76), (1, 114, 76), (1, 115, 75), (1, 116, 74), (1, 117, 73), (1, 118, 72), (1, 119, 71), (1, 120, 71), (1, 121, 70), (1, 122, 69), (1, 123, 69), (1, 124, 68), (1, 125, 68), (1, 126, 67), (1, 127, 67), (1, 128, 66), (1, 129, 66), (1, 130, 66), (1, 131, 65), (1, 132, 65), (1, 133, 64), (1, 134, 63), (1, 135, 63), (1, 136, 62), (1, 137, 61), (1, 138, 60), (1, 139, 60), (1, 140, 59), (1, 141, 58), (1, 142, 58), (1, 143, 57), (1, 144, 56), (1, 145, 56), (1, 146, 55), (1, 147, 54), (1, 148, 54), (1, 149, 53), (1, 150, 52), (1, 151, 52), (1, 152, 51), (1, 153, 50), (1, 154, 49), (1, 155, 48), (1, 156, 47), (1, 157, 46), (1, 158, 46), (1, 159, 45), (1, 160, 44), (1, 161, 43), (1, 162, 42), (1, 163, 42), (1, 164, 41), (1, 165, 40), (1, 166, 40), (1, 167, 39), (1, 168, 38), (1, 169, 37), (1, 170, 36), (1, 171, 35), (1, 172, 34), (1, 173, 34), (1, 174, 33), (1, 175, 33), (1, 176, 32), (1, 177, 32), (1, 178, 32), (1, 179, 32), (1, 180, 31), (1, 181, 31), (1, 182, 31), (1, 183, 30), (1, 184, 30), (1, 185, 30), (1, 186, 29), (1, 187, 29), (1, 188, 29), (1, 189, 28), (1, 190, 28), (1, 191, 27), (1, 192, 27), (1, 193, 26), (1, 194, 26), (1, 195, 26), (1, 196, 26), (1, 197, 26), (1, 198, 26), (1, 199, 26), (1, 200, 25), (1, 201, 25), (1, 202, 25), (1, 203, 25), (1, 204, 25), (1, 205, 25), (1, 206, 25), (1, 207, 25), (1, 208, 25), (1, 209, 25), (1, 210, 25), (1, 211, 25), (1, 212, 25), (1, 213, 25), (1, 214, 25), (1, 215, 25), (1, 216, 25), (1, 217, 25), (1, 218, 25), (1, 219, 25), (1, 220, 24), (1, 221, 24), (1, 222, 24), (1, 223, 24), (1, 224, 24), (1, 225, 25), (1, 226, 25), (1, 227, 25), (1, 228, 25), (2, 229, 24), (2, 230, 24), (2, 231, 24), (2, 232, 23), (2, 233, 23), (2, 234, 23), (2, 235, 23), (2, 236, 23), (2, 237, 23), (2, 238, 23), (2, 239, 23), (2, 240, 23), (2, 241, 23), (2, 242, 23), (2, 243, 23), (2, 244, 23), (2, 245, 23), (2, 246, 23), (2, 247, 23), (2, 248, 23), (2, 249, 24), (2, 250, 24), (2, 251, 23), (2, 252, 23), (2, 253, 23), (2, 254, 23), (2, 255, 23), (2, 256, 23), (2, 257, 23), (2, 258, 23), (2, 259, 23), (2, 260, 23), (2, 261, 23), (3, 262, 22), (3, 263, 22), (3, 264, 22), (3, 265, 22), (4, 266, 21), (4, 267, 21), (5, 268, 20), (5, 269, 20), (6, 270, 19), (7, 271, 17), (8, 272, 16), (8, 273, 16), (9, 274, 13), (11, 275, 9), (15, 276, 2)], ['16,276,8,273,2,261,2,229,1,228,1,114,2,113,2,82,1,81,1,46,3,37,8,32,20,32,21,33,58,33,59,34,75,34,76,35,102,35,120,31,130,30,135,27,145,26,152,29,158,35,158,48,154,54,128,61,119,67,109,76,103,86,96,94,89,98,81,109,71,119,65,132,60,138,52,151,42,162,40,166,34,172,29,188,26,193,25,200,25,219,24,220,25,231,24,232,24,270,23,273']), (957285035, 492601069, 445, 29, 591, 24, 419, 0.99237144, [(315, 37, 25), (272, 38, 86), (253, 39, 130), (238, 40, 151), (199, 41, 196), (189, 42, 213), (180, 43, 238), (175, 44, 250), (172, 45, 257), (169, 46, 265), (166, 47, 274), (162, 48, 284), (159, 49, 294), (157, 50, 304), (155, 51, 311), (153, 52, 317), (151, 53, 323), (149, 54, 330), (148, 55, 334), (146, 56, 337), (144, 57, 341), (142, 58, 344), (140, 59, 347), (138, 60, 350), (136, 61, 353), (134, 62, 356), (132, 63, 358), (130, 64, 361), (128, 65, 364), (126, 66, 367), (124, 67, 370), (122, 68, 373), (120, 69, 376), (118, 70, 379), (117, 71, 381), (115, 72, 385), (114, 73, 387), (113, 74, 389), (112, 75, 391), (112, 76, 393), (111, 77, 395), (110, 78, 397), (109, 79, 399), (109, 80, 400), (108, 81, 402), (107, 82, 404), (107, 83, 404), (106, 84, 406), (105, 85, 408), (105, 86, 409), (104, 87, 410), (104, 88, 411), (103, 89, 413), (102, 90, 415), (101, 91, 417), (100, 92, 420), (98, 93, 423), (97, 94, 426), (96, 95, 428), (94, 96, 431), (93, 97, 433), (92, 98, 435), (91, 99, 437), (90, 100, 439), (89, 101, 441), (89, 102, 441), (89, 103, 442), (89, 104, 443), (89, 105, 444), (89, 106, 444), (89, 107, 445), (89, 108, 446), (89, 109, 447), (89, 110, 448), (89, 111, 449), (89, 112, 450), (89, 113, 451), (89, 114, 453), (89, 115, 454), (89, 116, 455), (88, 117, 456), (88, 118, 457), (87, 119, 459), (87, 120, 459), (86, 121, 461), (85, 122, 462), (85, 123, 463), (84, 124, 464), (84, 125, 465), (83, 126, 466), (82, 127, 468), (82, 128, 468), (81, 129, 470), (80, 130, 471), (78, 131, 473), (76, 132, 476), (75, 133, 477), (73, 134, 480), (71, 135, 482), (70, 136, 484), (68, 137, 486), (67, 138, 488), (65, 139, 490), (64, 140, 492), (63, 141, 493), (61, 142, 496), (60, 143, 497), (59, 144, 499), (58, 145, 501), (58, 146, 501), (57, 147, 503), (57, 148, 504), (57, 149, 505), (56, 150, 507), (56, 151, 507), (55, 152, 509), (55, 153, 510), (54, 154, 511), (54, 155, 512), (54, 156, 513), (53, 157, 514), (53, 158, 514), (52, 159, 515), (52, 160, 516), (52, 161, 516), (51, 162, 517), (51, 163, 517), (50, 164, 518), (50, 165, 518), (49, 166, 519), (49, 167, 520), (48, 168, 521), (48, 169, 521), (47, 170, 522), (47, 171, 522), (46, 172, 523), (46, 173, 523), (46, 174, 523), (45, 175, 524), (45, 176, 523), (44, 177, 524), (44, 178, 524), (44, 179, 524), (43, 180, 525), (43, 181, 525), (42, 182, 525), (42, 183, 525), (42, 184, 525), (41, 185, 526), (41, 186, 526), (40, 187, 526), (39, 188, 526), (39, 189, 525), (38, 190, 526), (38, 191, 525), (37, 192, 525), (37, 193, 523), (36, 194, 523), (36, 195, 522), (36, 196, 522), (35, 197, 522), (35, 198, 521), (34, 199, 521), (34, 200, 521), (34, 201, 520), (34, 202, 520), (34, 203, 520), (34, 204, 519), (34, 205, 519), (33, 206, 520), (33, 207, 519), (33, 208, 519), (33, 209, 519), (33, 210, 518), (33, 211, 518), (33, 212, 518), (33, 213, 517), (32, 214, 518), (32, 215, 517), (32, 216, 517), (32, 217, 516), (32, 218, 515), (32, 219, 514), (32, 220, 513), (32, 221, 512), (32, 222, 511), (32, 223, 510), (32, 224, 508), (32, 225, 507), (32, 226, 505), (32, 227, 504), (32, 228, 503), (32, 229, 502), (32, 230, 502), (32, 231, 501), (32, 232, 500), (32, 233, 499), (32, 234, 498), (32, 235, 497), (31, 236, 496), (31, 237, 495), (31, 238, 494), (31, 239, 493), (31, 240, 491), (31, 241, 490), (31, 242, 488), (31, 243, 487), (31, 244, 486), (31, 245, 485), (31, 246, 483), (31, 247, 482), (31, 248, 480), (31, 249, 479), (31, 250, 477), (31, 251, 475), (31, 252, 474), (31, 253, 472), (31, 254, 470), (31, 255, 468), (31, 256, 467), (31, 257, 465), (31, 258, 464), (31, 259, 463), (31, 260, 462), (31, 261, 461), (31, 262, 459), (31, 263, 458), (31, 264, 456), (31, 265, 455), (31, 266, 453), (31, 267, 451), (31, 268, 449), (31, 269, 448), (31, 270, 447), (31, 271, 445), (31, 272, 444), (31, 273, 443), (32, 274, 441), (32, 275, 440), (32, 276, 438), (32, 277, 437), (32, 278, 435), (32, 279, 434), (32, 280, 432), (33, 281, 429), (33, 282, 427), (33, 283, 426), (33, 284, 424), (33, 285, 423), (34, 286, 421), (34, 287, 420), (34, 288, 419), (35, 289, 416), (35, 290, 415), (35, 291, 414), (36, 292, 411), (36, 293, 410), (37, 294, 407), (37, 295, 406), (38, 296, 403), (38, 297, 401), (39, 298, 399), (39, 299, 397), (41, 300, 394), (42, 301, 392), (43, 302, 389), (44, 303, 387), (45, 304, 385), (46, 305, 382), (47, 306, 380), (47, 307, 378), (48, 308, 376), (49, 309, 373), (50, 310, 370), (51, 311, 368), (51, 312, 367), (52, 313, 365), (54, 314, 362), (55, 315, 360), (56, 316, 359), (58, 317, 356), (61, 318, 352), (64, 319, 349), (67, 320, 345), (70, 321, 341), (73, 322, 338), (75, 323, 335), (78, 324, 332), (80, 325, 329), (82, 326, 327), (84, 327, 324), (86, 328, 322), (88, 329, 320), (90, 330, 317), (93, 331, 314), (96, 332, 311), (99, 333, 307), (102, 334, 304), (105, 335, 300), (108, 336, 297), (111, 337, 294), (113, 338, 291), (115, 339, 289), (117, 340, 286), (119, 341, 283), (121, 342, 281), (123, 343, 278), (125, 344, 275), (127, 345, 272), (129, 346, 269), (132, 347, 266), (135, 348, 262), (137, 349, 259), (141, 350, 255), (143, 351, 252), (145, 352, 250), (147, 353, 247), (149, 354, 245), (151, 355, 242), (152, 356, 241), (154, 357, 239), (156, 358, 237), (159, 359, 233), (161, 360, 231), (163, 361, 229), (165, 362, 227), (167, 363, 224), (169, 364, 222), (170, 365, 221), (172, 366, 219), (173, 367, 218), (174, 368, 216), (175, 369, 215), (177, 370, 213), (178, 371, 212), (180, 372, 209), (183, 373, 206), (185, 374, 204), (188, 375, 200), (191, 376, 197), (193, 377, 194), (196, 378, 191), (199, 379, 188), (201, 380, 185), (203, 381, 183), (205, 382, 180), (207, 383, 178), (208, 384, 176), (210, 385, 174), (212, 386, 171), (213, 387, 169), (215, 388, 166), (218, 389, 162), (221, 390, 158), (225, 391, 153), (228, 392, 149), (232, 393, 144), (235, 394, 140), (238, 395, 136), (241, 396, 133), (245, 397, 128), (248, 398, 124), (252, 399, 119), (257, 400, 113), (263, 401, 105), (272, 402, 94), (283, 403, 82), (297, 404, 65), (306, 405, 53), (313, 406, 38), (321, 407, 23)], ['321,407,296,403,263,401,215,388,198,378,178,371,168,363,140,349,129,346,110,336,90,330,77,323,56,316,39,299,31,273,31,236,34,199,58,145,79,131,89,116,89,101,104,88,115,72,159,49,180,43,199,41,237,41,272,38,339,37,382,39,402,43,417,43,481,55,543,116,556,143,566,156,568,167,566,186,554,199,548,216,528,235,471,275,460,281,414,315,403,339,392,355,389,371,383,385,369,400,358,405']), (957285035, 492601069, 445, 485, 636, 23, 174, 0.9711431, [(540, 24, 21), (626, 24, 3), (531, 25, 49), (594, 25, 40), (527, 26, 107), (523, 27, 111), (520, 28, 114), (517, 29, 118), (516, 30, 119), (515, 31, 120), (513, 32, 122), (512, 33, 123), (510, 34, 125), (509, 35, 126), (507, 36, 128), (506, 37, 129), (504, 38, 131), (503, 39, 132), (501, 40, 134), (500, 41, 135), (499, 42, 136), (498, 43, 137), (497, 44, 138), (496, 45, 139), (496, 46, 139), (495, 47, 140), (495, 48, 140), (494, 49, 141), (493, 50, 142), (492, 51, 143), (491, 52, 144), (491, 53, 144), (490, 54, 145), (490, 55, 145), (490, 56, 145), (490, 57, 146), (490, 58, 146), (490, 59, 146), (491, 60, 145), (491, 61, 145), (491, 62, 145), (492, 63, 144), (493, 64, 143), (494, 65, 142), (495, 66, 141), (496, 67, 140), (497, 68, 138), (498, 69, 138), (499, 70, 137), (500, 71, 136), (501, 72, 135), (503, 73, 133), (503, 74, 133), (505, 75, 131), (506, 76, 130), (507, 77, 129), (508, 78, 128), (509, 79, 127), (510, 80, 126), (511, 81, 125), (512, 82, 124), (513, 83, 123), (514, 84, 122), (515, 85, 121), (516, 86, 120), (517, 87, 119), (518, 88, 118), (519, 89, 117), (521, 90, 115), (521, 91, 115), (522, 92, 114), (523, 93, 113), (524, 94, 112), (525, 95, 111), (526, 96, 110), (527, 97, 109), (529, 98, 107), (530, 99, 106), (532, 100, 104), (533, 101, 103), (534, 102, 102), (535, 103, 101), (536, 104, 100), (538, 105, 98), (540, 106, 96), (541, 107, 95), (543, 108, 93), (546, 109, 90), (548, 110, 88), (549, 111, 87), (551, 112, 84), (552, 113, 83), (553, 114, 82), (555, 115, 80), (556, 116, 79), (556, 117, 79), (557, 118, 78), (558, 119, 77), (559, 120, 76), (560, 121, 75), (560, 122, 75), (561, 123, 74), (561, 124, 74), (561, 125, 74), (562, 126, 73), (562, 127, 73), (563, 128, 72), (563, 129, 72), (564, 130, 70), (564, 131, 70), (565, 132, 69), (565, 133, 68), (565, 134, 68), (565, 135, 67), (566, 136, 65), (566, 137, 64), (566, 138, 64), (566, 139, 62), (566, 140, 61), (566, 141, 59), (566, 142, 57), (566, 143, 56), (566, 144, 55), (566, 145, 54), (567, 146, 53), (567, 147, 52), (567, 148, 51), (568, 149, 50), (568, 150, 49), (568, 151, 48), (568, 152, 47), (569, 153, 45), (569, 154, 44), (570, 155, 42), (570, 156, 42), (570, 157, 41), (571, 158, 39), (571, 159, 39), (572, 160, 37), (572, 161, 37), (573, 162, 35), (573, 163, 34), (573, 164, 34), (574, 165, 32), (575, 166, 30), (577, 167, 28), (578, 168, 26), (581, 169, 22), (584, 170, 19), (587, 171, 15), (591, 172, 8)], ['598,172,591,172,590,171,578,168,573,164,573,162,568,152,568,149,566,145,566,136,565,132,561,125,560,121,556,116,547,109,543,108,536,104,531,99,527,97,491,62,490,54,495,48,496,45,501,40,514,32,517,29,531,25,539,25,540,24,560,24,561,25,579,25,580,26,593,26,594,25,633,25,634,29,634,56,635,57,635,111,634,112,634,129,632,134,629,138,623,141,619,145,617,149,611,155,608,161,604,166']), (957285035, 492601069, 445, 280, 481, 2, 55, 0.82958627, [(291, 3, 129), (284, 4, 146), (282, 5, 151), (281, 6, 154), (281, 7, 156), (281, 8, 157), (281, 9, 158), (281, 10, 160), (281, 11, 162), (281, 12, 165), (281, 13, 167), (281, 14, 169), (281, 15, 171), (281, 16, 173), (281, 17, 174), (281, 18, 175), (281, 19, 177), (281, 20, 178), (281, 21, 179), (281, 22, 180), (281, 23, 181), (281, 24, 182), (281, 25, 183), (281, 26, 184), (281, 27, 185), (281, 28, 185), (281, 29, 185), (282, 30, 185), (283, 31, 27), (337, 31, 131), (371, 32, 97), (401, 33, 68), (409, 34, 61), (419, 35, 52), (424, 36, 48), (429, 37, 44), (432, 38, 41), (434, 39, 40), (436, 40, 39), (438, 41, 37), (441, 42, 35), (444, 43, 32), (448, 44, 29), (452, 45, 25), (454, 46, 23), (459, 47, 17), (463, 48, 12), (468, 49, 5)], ['472,49,468,49,467,48,459,47,458,46,454,46,451,44,448,44,447,43,444,43,440,41,438,41,428,36,424,36,423,35,419,35,418,34,409,34,408,33,401,33,400,32,371,32,370,31,337,31,336,30,283,31,281,29,281,6,284,4,290,4,291,3,419,3,420,4,429,4,430,5,432,5,436,7,441,11,445,12,453,16,456,19,457,19,465,27,465,29,472,37,476,44,476,46']), (957285035, 492601069, 445, 456, 547, 6, 45, 0.73936594, [(482, 8, 19), (464, 9, 3), (481, 9, 44), (457, 10, 12), (479, 10, 50), (457, 11, 13), (476, 11, 56), (457, 12, 15), (475, 12, 65), (457, 13, 84), (457, 14, 85), (457, 15, 89), (457, 16, 89), (458, 17, 88), (459, 18, 87), (460, 19, 86), (461, 20, 80), (464, 21, 71), (466, 22, 63), (467, 23, 59), (468, 24, 55), (469, 25, 52), (469, 26, 51), (470, 27, 48), (471, 28, 46), (471, 29, 44), (472, 30, 42), (473, 31, 39), (473, 32, 38), (474, 33, 36), (475, 34, 33), (475, 35, 32), (476, 36, 30), (476, 37, 29), (477, 38, 26), (478, 39, 23), (479, 40, 20), (480, 41, 17), (488, 42, 5)], ['492,42,488,42,487,41,480,41,476,37,475,34,473,32,469,25,465,21,461,20,457,16,457,10,463,10,464,9,466,9,470,12,474,13,476,11,480,10,482,8,500,8,501,9,524,9,525,10,528,10,532,12,539,12,542,15,545,15,545,19,535,20,534,21,529,21,525,23,523,23,513,30,512,30,504,37,496,41,493,41'])], 'temp/1738463728_2241491_957285035_a42482e51c93c8025d243dd179aee85b.jpg']}
free memory after detection : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 5264
error , can't release the memory or there are other process who occupe the free memory
ERROR test release memory FAILED 

############################### TEST detect object  ################################

run mask_detect

Inside batchDatouExec : verbose : False
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.1253817081451416
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Sun Feb  2 03:36:09 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 5264  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-02-02 03:36:12.134568: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-02 03:36:12.159583: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493020000 Hz
2025-02-02 03:36:12.161576: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f60b0000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-02 03:36:12.161636: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-02 03:36:12.165650: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-02 03:36:12.333025: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3a2c70a0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-02 03:36:12.333076: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-02 03:36:12.334300: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:36:12.334746: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:36:12.337764: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:36:12.340675: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:36:12.341177: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:36:12.344580: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:36:12.345679: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:36:12.349926: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:36:12.351104: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:36:12.351180: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:36:12.351824: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-02 03:36:12.351842: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-02 03:36:12.351852: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-02 03:36:12.352935: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4806 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

2025-02-02 03:36:12.429750: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:36:12.429872: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:36:12.429891: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:36:12.429907: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:36:12.429923: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:36:12.429938: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:36:12.429953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:36:12.429983: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:36:12.430864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:36:12.431886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:36:12.431920: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:36:12.431937: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:36:12.431955: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:36:12.431975: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:36:12.431994: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:36:12.432013: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:36:12.432032: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:36:12.433184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:36:12.433223: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-02 03:36:12.433234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-02 03:36:12.433245: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-02 03:36:12.434499: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4806 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
Using TensorFlow backend.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
Inside mask_sub_process
Inside mask_detect 
About to load cache.load_thcl_param 
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21))
{'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0}
list_class_names : 
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


model_param file didn't exist 
model_name : mask_coco_origin
model_type : mask_rcnn
list file need :
['mask_model.h5']
file exist in s3 :
['mask_model.h5']
file manque in s3 : 
[]
2025-02-02 03:36:19.914535: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:36:20.160506: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:36:21.622708: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
local folder  : /data/models_weight/mask_coco_origin


/data/models_weight/mask_coco_origin/mask_model.h5
size_local : 257557808 size in s3 : 257557808
create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17
mask_model.h5 already exist and didn't need to update
 list_images length : 1
NEW PHOTO
Processing 1 images
image                    shape: (720, 1280, 3)        min:    0.00000  max:  255.00000
molded_images            shape: (1, 640, 640, 3)      min: -123.70000  max:  151.10000
image_metas              shape: (1, 89)               min:    0.00000  max: 1280.00000
nb d'objets trouves : 4
Detection mask done !
Trying to reset tf kernel
2243037
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 383
tf kernel not reseted
sub process len(results) : 1 len(list_Values) 0
None
max_time_sub_proc : 3600
parent process len(results) : 1 len(list_Values) 0
process is alive
finish correctly or not : True

 after detect 

begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 5264
list_Values should be empty []
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']
time for calcul the mask position with numpy : 0.0006833076477050781
nb_pixel_total : 16902
time to create 1 rle with old method : 0.03386878967285156
length of segment :  107
time for calcul the mask position with numpy : 0.028493404388427734
nb_pixel_total : 480884
time to create 1 rle with new method : 0.03985261917114258
length of segment :  632
time for calcul the mask position with numpy : 0.0009891986846923828
nb_pixel_total : 36638
time to create 1 rle with old method : 0.04986834526062012
length of segment :  133
time for calcul the mask position with numpy : 0.0002117156982421875
nb_pixel_total : 4794
time to create 1 rle with old method : 0.008368730545043945
length of segment :  51

time spent for convertir_results : 0.4392218589782715

time spend for datou_step_exec : 17.257182121276855
time spend to save output : 7.772445678710938e-05
total time spend for step 1 : 17.257259845733643

caffe_path_current : 
About to save ! 1
Inside saveOutput : final : True verbose : False
eke 12-6-18 : saveMask need to be cleaned for new output !
Catched exception !
Connect or reconnect !
Number saved : None
batch 1
Loaded 395 chid ids of type : 445
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
time used for this insertion : 0.018268346786499023

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'917855882': [[(917855882, 492601069, 445, 1092, 1280, 0, 108, 0.9988367, [(1205, 1, 58), (1165, 2, 105), (1159, 3, 113), (1149, 4, 124), (1113, 5, 161), (1100, 6, 174), (1097, 7, 177), (1095, 8, 179), (1095, 9, 179), (1095, 10, 179), (1095, 11, 179), (1095, 12, 179), (1095, 13, 179), (1095, 14, 178), (1095, 15, 178), (1095, 16, 178), (1095, 17, 178), (1095, 18, 177), (1095, 19, 177), (1095, 20, 177), (1095, 21, 177), (1095, 22, 177), (1095, 23, 178), (1095, 24, 178), (1095, 25, 178), (1095, 26, 179), (1095, 27, 179), (1095, 28, 180), (1095, 29, 181), (1095, 30, 182), (1095, 31, 183), (1095, 32, 183), (1095, 33, 184), (1095, 34, 184), (1096, 35, 183), (1096, 36, 183), (1096, 37, 184), (1097, 38, 183), (1097, 39, 183), (1097, 40, 183), (1098, 41, 182), (1098, 42, 182), (1098, 43, 182), (1099, 44, 181), (1099, 45, 181), (1099, 46, 181), (1100, 47, 180), (1100, 48, 180), (1101, 49, 179), (1101, 50, 179), (1102, 51, 178), (1102, 52, 178), (1103, 53, 177), (1103, 54, 177), (1104, 55, 176), (1104, 56, 176), (1104, 57, 176), (1104, 58, 176), (1105, 59, 175), (1105, 60, 175), (1105, 61, 175), (1105, 62, 175), (1105, 63, 175), (1106, 64, 174), (1106, 65, 174), (1106, 66, 174), (1106, 67, 174), (1106, 68, 174), (1106, 69, 174), (1106, 70, 174), (1106, 71, 174), (1106, 72, 174), (1106, 73, 174), (1107, 74, 173), (1107, 75, 173), (1107, 76, 173), (1107, 77, 173), (1107, 78, 173), (1107, 79, 173), (1108, 80, 172), (1108, 81, 172), (1109, 82, 171), (1110, 83, 170), (1110, 84, 170), (1111, 85, 169), (1112, 86, 168), (1113, 87, 166), (1114, 88, 165), (1115, 89, 164), (1117, 90, 162), (1120, 91, 159), (1138, 92, 141), (1146, 93, 133), (1154, 94, 125), (1167, 95, 112), (1177, 96, 102), (1183, 97, 95), (1185, 98, 93), (1187, 99, 90), (1188, 100, 55), (1264, 100, 12), (1190, 101, 50), (1191, 102, 46), (1194, 103, 40), (1197, 104, 34), (1202, 105, 25), (1207, 106, 16)], ['1222,106,1207,106,1206,105,1197,104,1191,102,1182,96,1176,95,1167,95,1166,94,1154,94,1153,93,1146,93,1145,92,1137,91,1120,91,1115,89,1110,84,1107,79,1106,73,1106,64,1104,55,1099,46,1095,34,1095,8,1100,6,1112,6,1113,5,1148,5,1149,4,1158,4,1165,2,1204,2,1205,1,1262,1,1269,2,1273,5,1273,13,1271,18,1271,22,1273,27,1277,31,1279,37,1279,86,1278,87,1278,96,1275,100,1264,100,1263,99,1243,99,1230,104']), (917855882, 492601069, 445, 52, 1128, 14, 668, 0.9975387, [(709, 22, 24), (917, 22, 70), (607, 23, 142), (898, 23, 103), (599, 24, 191), (881, 24, 128), (592, 25, 425), (586, 26, 438), (579, 27, 453), (571, 28, 464), (566, 29, 472), (560, 30, 480), (554, 31, 489), (548, 32, 498), (541, 33, 508), (533, 34, 518), (528, 35, 526), (523, 36, 534), (518, 37, 541), (514, 38, 548), (510, 39, 555), (507, 40, 560), (503, 41, 567), (500, 42, 572), (496, 43, 578), (493, 44, 582), (491, 45, 586), (489, 46, 589), (488, 47, 591), (486, 48, 595), (485, 49, 597), (483, 50, 599), (482, 51, 601), (481, 52, 602), (480, 53, 604), (479, 54, 605), (478, 55, 606), (476, 56, 609), (475, 57, 610), (474, 58, 612), (473, 59, 613), (471, 60, 615), (470, 61, 617), (469, 62, 618), (468, 63, 619), (466, 64, 622), (465, 65, 623), (464, 66, 624), (462, 67, 627), (461, 68, 628), (459, 69, 630), (458, 70, 632), (457, 71, 633), (455, 72, 635), (454, 73, 636), (452, 74, 638), (451, 75, 639), (450, 76, 640), (449, 77, 641), (447, 78, 643), (446, 79, 644), (445, 80, 645), (444, 81, 646), (443, 82, 647), (441, 83, 649), (440, 84, 650), (439, 85, 651), (438, 86, 652), (437, 87, 653), (436, 88, 654), (435, 89, 655), (434, 90, 656), (433, 91, 657), (432, 92, 658), (431, 93, 659), (430, 94, 660), (430, 95, 660), (428, 96, 662), (427, 97, 663), (425, 98, 665), (423, 99, 667), (421, 100, 669), (419, 101, 671), (416, 102, 674), (412, 103, 678), (407, 104, 683), (403, 105, 687), (398, 106, 692), (394, 107, 696), (389, 108, 701), (384, 109, 706), (379, 110, 711), (375, 111, 715), (371, 112, 719), (368, 113, 722), (365, 114, 725), (362, 115, 728), (359, 116, 731), (357, 117, 733), (355, 118, 735), (353, 119, 737), (350, 120, 740), (348, 121, 742), (345, 122, 745), (343, 123, 747), (339, 124, 751), (335, 125, 755), (331, 126, 759), (326, 127, 763), (321, 128, 768), (316, 129, 773), (310, 130, 779), (305, 131, 784), (298, 132, 791), (290, 133, 799), (284, 134, 805), (278, 135, 811), (273, 136, 816), (268, 137, 821), (263, 138, 826), (260, 139, 829), (257, 140, 832), (255, 141, 834), (252, 142, 837), (250, 143, 839), (247, 144, 842), (244, 145, 845), (241, 146, 848), (237, 147, 852), (234, 148, 855), (229, 149, 860), (225, 150, 864), (217, 151, 872), (210, 152, 879), (203, 153, 886), (197, 154, 892), (190, 155, 899), (185, 156, 904), (183, 157, 906), (180, 158, 909), (178, 159, 911), (175, 160, 914), (174, 161, 915), (172, 162, 917), (170, 163, 919), (169, 164, 920), (167, 165, 922), (166, 166, 923), (164, 167, 925), (163, 168, 926), (161, 169, 928), (159, 170, 930), (157, 171, 932), (155, 172, 933), (153, 173, 935), (150, 174, 938), (147, 175, 941), (145, 176, 943), (143, 177, 945), (141, 178, 947), (140, 179, 948), (138, 180, 950), (136, 181, 952), (135, 182, 953), (134, 183, 954), (133, 184, 955), (132, 185, 956), (130, 186, 958), (129, 187, 959), (129, 188, 959), (128, 189, 960), (127, 190, 960), (126, 191, 961), (126, 192, 961), (125, 193, 962), (124, 194, 963), (123, 195, 964), (122, 196, 965), (122, 197, 965), (121, 198, 966), (120, 199, 967), (119, 200, 968), (118, 201, 969), (117, 202, 970), (116, 203, 971), (115, 204, 972), (113, 205, 973), (112, 206, 974), (111, 207, 975), (110, 208, 976), (108, 209, 978), (107, 210, 979), (106, 211, 980), (105, 212, 981), (104, 213, 982), (103, 214, 983), (103, 215, 983), (102, 216, 984), (101, 217, 984), (100, 218, 985), (100, 219, 985), (99, 220, 986), (99, 221, 986), (98, 222, 987), (97, 223, 988), (97, 224, 988), (96, 225, 988), (96, 226, 988), (95, 227, 989), (95, 228, 989), (94, 229, 990), (94, 230, 990), (94, 231, 990), (93, 232, 991), (93, 233, 990), (92, 234, 991), (92, 235, 991), (92, 236, 991), (91, 237, 992), (91, 238, 991), (91, 239, 991), (91, 240, 990), (91, 241, 990), (90, 242, 991), (90, 243, 990), (90, 244, 990), (90, 245, 989), (90, 246, 989), (89, 247, 990), (89, 248, 989), (89, 249, 989), (89, 250, 988), (89, 251, 988), (88, 252, 988), (88, 253, 988), (88, 254, 987), (88, 255, 986), (88, 256, 986), (87, 257, 986), (87, 258, 986), (87, 259, 985), (87, 260, 984), (86, 261, 984), (86, 262, 983), (86, 263, 982), (86, 264, 982), (85, 265, 982), (85, 266, 981), (85, 267, 980), (85, 268, 980), (84, 269, 980), (84, 270, 979), (84, 271, 979), (84, 272, 978), (83, 273, 979), (83, 274, 978), (83, 275, 977), (82, 276, 978), (82, 277, 977), (82, 278, 977), (81, 279, 978), (81, 280, 977), (81, 281, 977), (80, 282, 977), (80, 283, 977), (80, 284, 976), (79, 285, 977), (79, 286, 976), (79, 287, 976), (78, 288, 976), (78, 289, 976), (78, 290, 975), (77, 291, 976), (77, 292, 975), (77, 293, 975), (76, 294, 975), (76, 295, 975), (76, 296, 974), (75, 297, 975), (75, 298, 974), (74, 299, 975), (74, 300, 974), (74, 301, 974), (73, 302, 974), (73, 303, 974), (72, 304, 974), (72, 305, 974), (71, 306, 974), (71, 307, 973), (71, 308, 972), (71, 309, 971), (70, 310, 970), (70, 311, 969), (70, 312, 968), (69, 313, 967), (69, 314, 965), (69, 315, 964), (69, 316, 962), (68, 317, 960), (68, 318, 959), (68, 319, 957), (68, 320, 955), (67, 321, 955), (67, 322, 953), (67, 323, 952), (67, 324, 951), (66, 325, 950), (66, 326, 949), (66, 327, 948), (66, 328, 947), (66, 329, 946), (65, 330, 946), (65, 331, 945), (65, 332, 944), (65, 333, 943), (65, 334, 942), (65, 335, 941), (65, 336, 940), (65, 337, 939), (65, 338, 937), (65, 339, 936), (64, 340, 935), (64, 341, 934), (64, 342, 932), (64, 343, 930), (64, 344, 928), (64, 345, 926), (64, 346, 925), (64, 347, 923), (64, 348, 922), (64, 349, 920), (64, 350, 919), (63, 351, 919), (63, 352, 918), (63, 353, 917), (63, 354, 916), (63, 355, 915), (63, 356, 914), (63, 357, 912), (63, 358, 911), (63, 359, 910), (63, 360, 909), (63, 361, 908), (63, 362, 906), (63, 363, 905), (63, 364, 904), (63, 365, 902), (63, 366, 901), (63, 367, 899), (62, 368, 899), (62, 369, 897), (62, 370, 895), (62, 371, 893), (62, 372, 892), (62, 373, 890), (62, 374, 889), (62, 375, 887), (62, 376, 886), (62, 377, 885), (62, 378, 884), (62, 379, 883), (63, 380, 881), (63, 381, 880), (63, 382, 879), (63, 383, 877), (63, 384, 876), (63, 385, 875), (63, 386, 874), (63, 387, 873), (64, 388, 871), (64, 389, 870), (64, 390, 869), (64, 391, 868), (64, 392, 867), (64, 393, 866), (64, 394, 865), (64, 395, 864), (65, 396, 862), (65, 397, 861), (65, 398, 860), (65, 399, 858), (65, 400, 857), (65, 401, 856), (65, 402, 855), (65, 403, 853), (65, 404, 852), (65, 405, 850), (65, 406, 849), (65, 407, 847), (66, 408, 845), (66, 409, 843), (66, 410, 842), (66, 411, 841), (66, 412, 840), (66, 413, 839), (66, 414, 838), (66, 415, 837), (66, 416, 836), (66, 417, 835), (66, 418, 834), (66, 419, 833), (66, 420, 832), (67, 421, 830), (67, 422, 830), (67, 423, 829), (67, 424, 828), (67, 425, 827), (67, 426, 826), (67, 427, 825), (67, 428, 824), (67, 429, 823), (68, 430, 821), (68, 431, 819), (68, 432, 818), (68, 433, 817), (68, 434, 815), (68, 435, 814), (68, 436, 812), (68, 437, 810), (69, 438, 807), (69, 439, 806), (69, 440, 804), (69, 441, 803), (69, 442, 802), (69, 443, 801), (69, 444, 800), (70, 445, 798), (70, 446, 797), (70, 447, 796), (71, 448, 795), (71, 449, 794), (72, 450, 793), (72, 451, 792), (73, 452, 790), (73, 453, 790), (74, 454, 788), (74, 455, 788), (75, 456, 786), (75, 457, 786), (76, 458, 784), (76, 459, 784), (77, 460, 782), (77, 461, 782), (77, 462, 781), (78, 463, 780), (78, 464, 779), (78, 465, 779), (79, 466, 777), (79, 467, 777), (80, 468, 775), (80, 469, 775), (80, 470, 774), (81, 471, 772), (81, 472, 772), (82, 473, 770), (82, 474, 769), (83, 475, 768), (83, 476, 767), (83, 477, 766), (84, 478, 764), (84, 479, 763), (85, 480, 762), (85, 481, 761), (85, 482, 760), (86, 483, 757), (86, 484, 756), (87, 485, 754), (87, 486, 753), (87, 487, 752), (88, 488, 749), (88, 489, 748), (88, 490, 747), (89, 491, 745), (89, 492, 744), (90, 493, 742), (90, 494, 741), (91, 495, 740), (92, 496, 738), (92, 497, 737), (93, 498, 735), (94, 499, 734), (94, 500, 733), (95, 501, 731), (96, 502, 730), (97, 503, 728), (98, 504, 727), (99, 505, 725), (99, 506, 724), (100, 507, 723), (101, 508, 721), (102, 509, 720), (104, 510, 717), (105, 511, 715), (106, 512, 714), (107, 513, 712), (108, 514, 711), (110, 515, 708), (111, 516, 707), (112, 517, 705), (114, 518, 703), (115, 519, 701), (117, 520, 699), (118, 521, 697), (119, 522, 696), (121, 523, 693), (122, 524, 692), (124, 525, 689), (125, 526, 687), (126, 527, 686), (128, 528, 683), (129, 529, 681), (131, 530, 679), (132, 531, 677), (134, 532, 674), (135, 533, 672), (137, 534, 669), (138, 535, 668), (140, 536, 665), (141, 537, 663), (143, 538, 660), (144, 539, 658), (146, 540, 654), (147, 541, 652), (149, 542, 649), (151, 543, 646), (152, 544, 644), (154, 545, 641), (156, 546, 638), (157, 547, 636), (159, 548, 633), (161, 549, 630), (162, 550, 629), (164, 551, 626), (165, 552, 624), (167, 553, 621), (168, 554, 620), (170, 555, 617), (171, 556, 615), (173, 557, 613), (174, 558, 611), (175, 559, 610), (177, 560, 607), (178, 561, 605), (179, 562, 604), (181, 563, 602), (182, 564, 600), (184, 565, 598), (186, 566, 596), (188, 567, 593), (191, 568, 590), (194, 569, 587), (197, 570, 583), (200, 571, 580), (203, 572, 576), (206, 573, 573), (209, 574, 570), (211, 575, 567), (214, 576, 564), (217, 577, 560), (220, 578, 557), (223, 579, 554), (225, 580, 551), (228, 581, 548), (230, 582, 545), (231, 583, 544), (233, 584, 541), (235, 585, 539), (236, 586, 537), (238, 587, 534), (240, 588, 531), (241, 589, 529), (243, 590, 526), (245, 591, 523), (247, 592, 520), (249, 593, 517), (251, 594, 513), (253, 595, 510), (256, 596, 505), (258, 597, 501), (261, 598, 497), (264, 599, 492), (267, 600, 488), (271, 601, 483), (275, 602, 477), (278, 603, 473), (281, 604, 469), (284, 605, 465), (287, 606, 461), (290, 607, 456), (293, 608, 452), (295, 609, 450), (298, 610, 445), (300, 611, 442), (303, 612, 438), (306, 613, 434), (308, 614, 430), (310, 615, 427), (313, 616, 422), (316, 617, 418), (318, 618, 414), (321, 619, 409), (323, 620, 405), (326, 621, 400), (329, 622, 394), (331, 623, 389), (334, 624, 383), (337, 625, 378), (339, 626, 373), (344, 627, 366), (348, 628, 360), (352, 629, 354), (356, 630, 348), (360, 631, 342), (363, 632, 337), (367, 633, 331), (372, 634, 324), (377, 635, 316), (382, 636, 309), (387, 637, 301), (392, 638, 292), (398, 639, 280), (404, 640, 267), (411, 641, 253), (419, 642, 237), (435, 643, 213), (450, 644, 191), (466, 645, 168), (480, 646, 148), (494, 647, 127), (510, 648, 105), (524, 649, 84), (555, 650, 24)], ['524,649,404,640,339,626,253,595,227,580,188,567,108,514,94,500,69,444,62,379,65,330,85,268,91,237,103,214,136,181,185,156,224,151,278,135,342,124,371,112,418,102,483,50,496,43,533,34,607,23,708,23,790,25,880,25,917,22,986,22,1031,27,1080,48,1089,70,1088,171,1083,232,1045,305,1020,321,1003,337,949,374,909,408,888,430,865,447,854,469,830,494,805,535,782,561,773,585,739,613,683,638,607,649']), (917855882, 492601069, 445, 0, 440, 0, 116, 0.9919516, [(127, 1, 141), (94, 2, 206), (384, 2, 2), (59, 3, 273), (340, 3, 57), (22, 4, 381), (19, 5, 387), (16, 6, 392), (15, 7, 394), (14, 8, 396), (14, 9, 397), (13, 10, 399), (12, 11, 400), (12, 12, 400), (11, 13, 402), (10, 14, 403), (11, 15, 403), (11, 16, 404), (12, 17, 403), (12, 18, 404), (12, 19, 405), (12, 20, 405), (12, 21, 406), (12, 22, 406), (12, 23, 407), (12, 24, 407), (12, 25, 408), (12, 26, 408), (12, 27, 408), (12, 28, 408), (12, 29, 409), (12, 30, 409), (12, 31, 409), (12, 32, 409), (12, 33, 409), (12, 34, 410), (12, 35, 410), (12, 36, 410), (12, 37, 410), (12, 38, 410), (12, 39, 410), (12, 40, 410), (12, 41, 411), (12, 42, 411), (12, 43, 411), (12, 44, 411), (12, 45, 411), (12, 46, 410), (12, 47, 410), (12, 48, 410), (12, 49, 410), (12, 50, 410), (12, 51, 410), (12, 52, 409), (12, 53, 408), (12, 54, 408), (12, 55, 407), (12, 56, 406), (12, 57, 404), (12, 58, 403), (11, 59, 403), (11, 60, 402), (11, 61, 401), (11, 62, 400), (11, 63, 400), (11, 64, 399), (11, 65, 398), (11, 66, 397), (11, 67, 397), (11, 68, 396), (11, 69, 395), (11, 70, 395), (11, 71, 394), (11, 72, 394), (11, 73, 394), (11, 74, 393), (11, 75, 393), (11, 76, 393), (11, 77, 393), (11, 78, 393), (11, 79, 393), (11, 80, 392), (10, 81, 394), (10, 82, 394), (10, 83, 395), (9, 84, 396), (9, 85, 261), (280, 85, 125), (9, 86, 75), (98, 86, 28), (142, 86, 117), (292, 86, 112), (9, 87, 71), (152, 87, 103), (294, 87, 110), (8, 88, 68), (161, 88, 91), (296, 88, 107), (8, 89, 63), (177, 89, 72), (297, 89, 106), (7, 90, 61), (205, 90, 40), (298, 90, 104), (7, 91, 57), (299, 91, 103), (6, 92, 54), (300, 92, 102), (6, 93, 50), (301, 93, 100), (7, 94, 46), (303, 94, 97), (7, 95, 44), (306, 95, 92), (7, 96, 42), (308, 96, 89), (7, 97, 40), (310, 97, 86), (7, 98, 38), (312, 98, 83), (8, 99, 34), (314, 99, 79), (8, 100, 32), (317, 100, 75), (8, 101, 29), (319, 101, 71), (13, 102, 18), (324, 102, 63), (20, 103, 6), (330, 103, 51), (337, 104, 37), (344, 105, 22), (352, 106, 3)], ['344,105,319,101,301,93,291,85,279,84,259,85,244,90,205,90,204,89,177,89,176,88,160,87,142,86,141,85,125,86,98,86,84,85,56,92,36,101,25,103,8,101,6,92,11,80,11,59,12,58,12,17,10,14,16,6,22,4,58,4,59,3,93,3,94,2,126,2,127,1,267,1,268,2,396,3,407,6,419,25,422,41,421,51,410,62,404,71,402,80,404,85,401,92,394,98,386,102,365,105']), (917855882, 492601069, 445, 390, 550, 0, 54, 0.93916285, [(414, 0, 7), (441, 0, 60), (508, 0, 28), (402, 1, 142), (401, 2, 146), (402, 3, 145), (404, 4, 143), (406, 5, 140), (408, 6, 137), (410, 7, 134), (411, 8, 132), (412, 9, 130), (413, 10, 127), (414, 11, 125), (415, 12, 123), (415, 13, 122), (416, 14, 120), (417, 15, 117), (417, 16, 116), (418, 17, 114), (418, 18, 113), (418, 19, 111), (418, 20, 109), (419, 21, 107), (419, 22, 105), (419, 23, 103), (419, 24, 102), (419, 25, 100), (420, 26, 97), (420, 27, 95), (420, 28, 94), (421, 29, 91), (421, 30, 90), (422, 31, 88), (422, 32, 88), (422, 33, 87), (423, 34, 84), (423, 35, 82), (423, 36, 81), (424, 37, 79), (424, 38, 77), (424, 39, 75), (424, 40, 73), (424, 41, 71), (425, 42, 67), (425, 43, 66), (426, 44, 62), (426, 45, 6), (433, 45, 52), (443, 46, 30), (450, 47, 1)], ['450,47,449,46,443,46,442,45,426,45,424,41,424,37,423,36,422,31,419,25,419,21,418,20,418,17,417,15,409,6,402,3,402,1,413,1,414,0,420,0,421,1,440,1,441,0,500,0,501,1,507,1,508,0,535,0,536,1,543,1,546,2,546,4,542,8,530,18,527,19,525,21,522,22,520,24,512,28,508,33,505,34,502,37,494,41,492,41,490,43,488,43,484,45,473,45,472,46,451,46'])], 'temp/1738463769_2241491_917855882_da0fa7b7e6b5b551fe26c0ba8713276d.jpg']}

############################### TEST POLYGON  ################################
Inside batchDatouExec : verbose : False
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.11303162574768066
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Sun Feb  2 03:36:32 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 5264  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-02-02 03:36:34.864356: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-02 03:36:34.891684: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493020000 Hz
2025-02-02 03:36:34.893856: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f60b4000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-02 03:36:34.893910: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-02 03:36:34.897399: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-02 03:36:35.069420: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3aabbb80 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-02 03:36:35.069492: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-02 03:36:35.070154: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:36:35.070569: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:36:35.073042: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:36:35.075832: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:36:35.076312: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:36:35.078986: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:36:35.080294: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:36:35.084868: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:36:35.086373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:36:35.086515: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:36:35.087206: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-02 03:36:35.087224: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-02 03:36:35.087233: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-02 03:36:35.088341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4806 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

2025-02-02 03:36:35.180407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:36:35.180531: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:36:35.180561: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:36:35.180587: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:36:35.180612: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:36:35.180637: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:36:35.180660: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:36:35.180686: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:36:35.181937: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:36:35.183117: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:36:35.183173: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:36:35.183200: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:36:35.183223: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:36:35.183246: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:36:35.183270: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:36:35.183293: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:36:35.183351: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:36:35.184580: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:36:35.184612: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-02 03:36:35.184622: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-02 03:36:35.184632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-02 03:36:35.185947: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4806 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
Using TensorFlow backend.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
Inside mask_sub_process
Inside mask_detect 
About to load cache.load_thcl_param 
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21))
{'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0}
list_class_names : 
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


model_param file didn't exist 
model_name : mask_coco_origin
model_type : mask_rcnn
list file need :
['mask_model.h5']
file exist in s3 :
['mask_model.h5']
file manque in s3 : 
[]
2025-02-02 03:36:43.477335: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:36:43.719110: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:36:45.281656: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
local folder  : /data/models_weight/mask_coco_origin


/data/models_weight/mask_coco_origin/mask_model.h5
size_local : 257557808 size in s3 : 257557808
create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17
mask_model.h5 already exist and didn't need to update
 list_images length : 1
NEW PHOTO
Processing 1 images
image                    shape: (2448, 2448, 3)       min:    0.00000  max:  255.00000
molded_images            shape: (1, 640, 640, 3)      min: -123.70000  max:  151.10000
image_metas              shape: (1, 89)               min:    0.00000  max: 2448.00000
nb d'objets trouves : 1
Detection mask done !
Trying to reset tf kernel
2243947
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 383
tf kernel not reseted
sub process len(results) : 1 len(list_Values) 0
None
max_time_sub_proc : 3600
parent process len(results) : 1 len(list_Values) 0
process is alive
finish correctly or not : True

 after detect 

begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 5264
list_Values should be empty []
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']
time for calcul the mask position with numpy : 0.4856381416320801
nb_pixel_total : 3692727
time to create 1 rle with new method : 0.2433786392211914
length of segment :  2041

time spent for convertir_results : 1.6011035442352295

time spend for datou_step_exec : 19.59584093093872
time spend to save output : 3.147125244140625e-05
total time spend for step 1 : 19.595872402191162

caffe_path_current : 
About to save ! 1
Inside saveOutput : final : True verbose : False
eke 12-6-18 : saveMask need to be cleaned for new output !
Catched exception !
Connect or reconnect !
Number saved : None
batch 1
Loaded 716 chid ids of type : 445
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
time used for this insertion : 0.014760255813598633

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'917877156': [[(917877156, 492601069, 445, 7, 2264, 118, 2241, 0.98505044, [(676, 120, 108), (519, 121, 479), (1054, 121, 375), (502, 122, 946), (486, 123, 980), (470, 124, 1014), (456, 125, 1047), (442, 126, 1094), (429, 127, 1140), (417, 128, 1167), (406, 129, 1185), (395, 130, 1203), (384, 131, 1221), (374, 132, 1237), (368, 133, 1249), (366, 134, 1257), (363, 135, 1266), (361, 136, 1274), (359, 137, 1281), (356, 138, 1289), (354, 139, 1296), (352, 140, 1303), (350, 141, 1310), (348, 142, 1315), (347, 143, 1320), (345, 144, 1325), (343, 145, 1331), (341, 146, 1336), (340, 147, 1340), (338, 148, 1345), (337, 149, 1349), (335, 150, 1354), (334, 151, 1358), (332, 152, 1363), (331, 153, 1366), (330, 154, 1370), (328, 155, 1374), (327, 156, 1378), (326, 157, 1381), (325, 158, 1385), (323, 159, 1389), (322, 160, 1393), (321, 161, 1397), (319, 162, 1402), (318, 163, 1406), (317, 164, 1410), (315, 165, 1415), (314, 166, 1419), (312, 167, 1424), (310, 168, 1430), (309, 169, 1433), (307, 170, 1438), (305, 171, 1443), (304, 172, 1447), (302, 173, 1452), (300, 174, 1457), (298, 175, 1463), (296, 176, 1468), (294, 177, 1474), (292, 178, 1479), (289, 179, 1486), (286, 180, 1493), (284, 181, 1499), (281, 182, 1506), (278, 183, 1513), (275, 184, 1520), (272, 185, 1528), (269, 186, 1535), (266, 187, 1543), (263, 188, 1551), (260, 189, 1560), (257, 190, 1569), (254, 191, 1578), (251, 192, 1587), (248, 193, 1597), (245, 194, 1606), (243, 195, 1614), (240, 196, 1623), (237, 197, 1631), (234, 198, 1640), (231, 199, 1649), (228, 200, 1657), (225, 201, 1666), (222, 202, 1674), (219, 203, 1682), (216, 204, 1687), (213, 205, 1692), (210, 206, 1697), (208, 207, 1701), (206, 208, 1704), (204, 209, 1708), (203, 210, 1710), (201, 211, 1714), (199, 212, 1717), (198, 213, 1720), (196, 214, 1723), (195, 215, 1725), (193, 216, 1729), (192, 217, 1731), (191, 218, 1733), (189, 219, 1736), (188, 220, 1738), (187, 221, 1740), (186, 222, 1742), (185, 223, 1744), (183, 224, 1747), (182, 225, 1749), (181, 226, 1751), (180, 227, 1753), (179, 228, 1755), (178, 229, 1757), (177, 230, 1759), (176, 231, 1761), (176, 232, 1761), (175, 233, 1763), (174, 234, 1765), (173, 235, 1766), (172, 236, 1768), (171, 237, 1770), (170, 238, 1772), (169, 239, 1774), (168, 240, 1775), (167, 241, 1777), (166, 242, 1779), (165, 243, 1781), (164, 244, 1783), (163, 245, 1785), (162, 246, 1787), (161, 247, 1789), (159, 248, 1792), (158, 249, 1794), (157, 250, 1796), (156, 251, 1798), (154, 252, 1801), (153, 253, 1803), (152, 254, 1805), (150, 255, 1808), (149, 256, 1811), (148, 257, 1813), (146, 258, 1816), (145, 259, 1819), (143, 260, 1822), (142, 261, 1824), (140, 262, 1828), (138, 263, 1831), (137, 264, 1834), (135, 265, 1837), (133, 266, 1841), (132, 267, 1844), (130, 268, 1847), (128, 269, 1851), (126, 270, 1855), (125, 271, 1858), (124, 272, 1860), (122, 273, 1864), (121, 274, 1867), (120, 275, 1869), (119, 276, 1872), (117, 277, 1875), (116, 278, 1877), (115, 279, 1880), (114, 280, 1882), (113, 281, 1884), (112, 282, 1886), (111, 283, 1889), (110, 284, 1891), (109, 285, 1893), (108, 286, 1895), (107, 287, 1897), (107, 288, 1898), (106, 289, 1900), (105, 290, 1902), (104, 291, 1904), (103, 292, 1906), (103, 293, 1907), (102, 294, 1909), (101, 295, 1910), (100, 296, 1912), (100, 297, 1913), (99, 298, 1915), (98, 299, 1917), (98, 300, 1917), (97, 301, 1919), (97, 302, 1920), (96, 303, 1922), (95, 304, 1923), (95, 305, 1924), (94, 306, 1926), (94, 307, 1926), (93, 308, 1928), (93, 309, 1928), (93, 310, 1929), (93, 311, 1929), (92, 312, 1931), (92, 313, 1931), (92, 314, 1932), (91, 315, 1933), (91, 316, 1934), (91, 317, 1934), (91, 318, 1935), (90, 319, 1936), (90, 320, 1937), (90, 321, 1938), (90, 322, 1938), (89, 323, 1940), (89, 324, 1940), (89, 325, 1941), (88, 326, 1943), (88, 327, 1943), (88, 328, 1944), (88, 329, 1945), (87, 330, 1946), (87, 331, 1947), (87, 332, 1948), (87, 333, 1948), (86, 334, 1950), (86, 335, 1951), (86, 336, 1951), (85, 337, 1953), (85, 338, 1954), (85, 339, 1955), (85, 340, 1955), (84, 341, 1957), (84, 342, 1958), (84, 343, 1959), (83, 344, 1961), (83, 345, 1961), (83, 346, 1962), (82, 347, 1964), (82, 348, 1965), (82, 349, 1966), (82, 350, 1967), (81, 351, 1969), (81, 352, 1970), (81, 353, 1971), (80, 354, 1973), (80, 355, 1974), (80, 356, 1975), (79, 357, 1977), (79, 358, 1978), (79, 359, 1979), (79, 360, 1980), (78, 361, 1982), (78, 362, 1983), (78, 363, 1984), (77, 364, 1986), (77, 365, 1988), (77, 366, 1989), (76, 367, 1991), (76, 368, 1992), (76, 369, 1993), (75, 370, 1995), (75, 371, 1995), (75, 372, 1996), (74, 373, 1998), (74, 374, 1999), (74, 375, 2000), (74, 376, 2001), (73, 377, 2003), (73, 378, 2003), (73, 379, 2004), (72, 380, 2006), (72, 381, 2007), (72, 382, 2007), (71, 383, 2009), (71, 384, 2010), (71, 385, 2010), (70, 386, 2012), (70, 387, 2012), (70, 388, 2013), (69, 389, 2014), (69, 390, 2015), (69, 391, 2015), (68, 392, 2017), (68, 393, 2017), (68, 394, 2018), (67, 395, 2019), (67, 396, 2020), (67, 397, 2020), (66, 398, 2022), (66, 399, 2022), (66, 400, 2023), (65, 401, 2024), (65, 402, 2024), (65, 403, 2025), (64, 404, 2026), (64, 405, 2027), (64, 406, 2027), (63, 407, 2029), (63, 408, 2029), (62, 409, 2031), (62, 410, 2031), (62, 411, 2032), (61, 412, 2033), (61, 413, 2033), (60, 414, 2035), (60, 415, 2035), (60, 416, 2036), (59, 417, 2037), (59, 418, 2038), (58, 419, 2039), (58, 420, 2039), (57, 421, 2041), (57, 422, 2041), (57, 423, 2042), (56, 424, 2043), (56, 425, 2043), (55, 426, 2045), (55, 427, 2045), (54, 428, 2047), (54, 429, 2047), (53, 430, 2048), (53, 431, 2049), (52, 432, 2050), (52, 433, 2051), (51, 434, 2052), (51, 435, 2052), (50, 436, 2054), (50, 437, 2054), (49, 438, 2056), (49, 439, 2056), (48, 440, 2057), (47, 441, 2059), (47, 442, 2059), (46, 443, 2060), (46, 444, 2061), (45, 445, 2062), (45, 446, 2062), (44, 447, 2064), (44, 448, 2064), (43, 449, 2066), (43, 450, 2066), (42, 451, 2067), (42, 452, 2068), (41, 453, 2069), (41, 454, 2069), (41, 455, 2070), (40, 456, 2071), (40, 457, 2071), (39, 458, 2073), (39, 459, 2073), (39, 460, 2073), (39, 461, 2074), (38, 462, 2075), (38, 463, 2075), (38, 464, 2076), (38, 465, 2076), (38, 466, 2076), (37, 467, 2078), (37, 468, 2078), (37, 469, 2079), (37, 470, 2079), (37, 471, 2079), (37, 472, 2080), (37, 473, 2080), (36, 474, 2081), (36, 475, 2082), (36, 476, 2082), (36, 477, 2083), (36, 478, 2083), (36, 479, 2083), (35, 480, 2085), (35, 481, 2085), (35, 482, 2086), (35, 483, 2086), (35, 484, 2087), (35, 485, 2087), (34, 486, 2089), (34, 487, 2089), (34, 488, 2089), (34, 489, 2090), (34, 490, 2090), (34, 491, 2091), (34, 492, 2091), (33, 493, 2093), (33, 494, 2093), (33, 495, 2094), (33, 496, 2094), (33, 497, 2095), (33, 498, 2095), (33, 499, 2096), (32, 500, 2098), (32, 501, 2098), (32, 502, 2099), (32, 503, 2099), (32, 504, 2100), (32, 505, 2100), (32, 506, 2101), (31, 507, 2103), (31, 508, 2103), (31, 509, 2104), (31, 510, 2105), (31, 511, 2105), (31, 512, 2106), (31, 513, 2107), (30, 514, 2108), (30, 515, 2109), (30, 516, 2110), (30, 517, 2110), (30, 518, 2111), (30, 519, 2112), (30, 520, 2113), (30, 521, 2113), (29, 522, 2115), (29, 523, 2116), (29, 524, 2117), (29, 525, 2117), (29, 526, 2118), (29, 527, 2119), (29, 528, 2119), (28, 529, 2121), (28, 530, 2122), (28, 531, 2122), (28, 532, 2123), (28, 533, 2124), (28, 534, 2124), (28, 535, 2125), (28, 536, 2125), (28, 537, 2125), (28, 538, 2126), (28, 539, 2126), (27, 540, 2127), (27, 541, 2127), (27, 542, 2128), (27, 543, 2128), (27, 544, 2128), (27, 545, 2128), (27, 546, 2129), (27, 547, 2129), (27, 548, 2129), (27, 549, 2129), (27, 550, 2130), (27, 551, 2130), (27, 552, 2130), (27, 553, 2130), (27, 554, 2131), (27, 555, 2131), (27, 556, 2131), (27, 557, 2131), (26, 558, 2133), (26, 559, 2133), (26, 560, 2133), (26, 561, 2133), (26, 562, 2134), (26, 563, 2134), (26, 564, 2134), (26, 565, 2134), (26, 566, 2134), (26, 567, 2135), (26, 568, 2135), (26, 569, 2135), (26, 570, 2135), (26, 571, 2136), (26, 572, 2136), (26, 573, 2136), (26, 574, 2136), (26, 575, 2136), (25, 576, 2138), (25, 577, 2138), (25, 578, 2138), (25, 579, 2138), (25, 580, 2138), (25, 581, 2139), (25, 582, 2139), (25, 583, 2139), (25, 584, 2139), (25, 585, 2139), (25, 586, 2140), (25, 587, 2140), (25, 588, 2140), (25, 589, 2140), (25, 590, 2140), (25, 591, 2141), (25, 592, 2141), (25, 593, 2141), (25, 594, 2141), (24, 595, 2142), (24, 596, 2143), (24, 597, 2143), (24, 598, 2143), (24, 599, 2143), (24, 600, 2143), (24, 601, 2143), (24, 602, 2144), (24, 603, 2144), (24, 604, 2144), (24, 605, 2144), (24, 606, 2144), (24, 607, 2144), (24, 608, 2145), (24, 609, 2145), (24, 610, 2145), (24, 611, 2145), (24, 612, 2145), (24, 613, 2145), (24, 614, 2145), (23, 615, 2146), (23, 616, 2146), (23, 617, 2146), (23, 618, 2146), (23, 619, 2147), (23, 620, 2147), (23, 621, 2147), (23, 622, 2147), (23, 623, 2147), (23, 624, 2147), (23, 625, 2147), (23, 626, 2147), (23, 627, 2147), (23, 628, 2147), (23, 629, 2147), (23, 630, 2147), (23, 631, 2147), (23, 632, 2147), (23, 633, 2147), (23, 634, 2147), (23, 635, 2147), (23, 636, 2147), (23, 637, 2147), (23, 638, 2147), (22, 639, 2149), (22, 640, 2149), (22, 641, 2149), (22, 642, 2149), (22, 643, 2149), (22, 644, 2149), (22, 645, 2149), (22, 646, 2149), (22, 647, 2149), (22, 648, 2149), (22, 649, 2149), (22, 650, 2149), (22, 651, 2149), (22, 652, 2149), (22, 653, 2149), (22, 654, 2149), (22, 655, 2149), (22, 656, 2149), (22, 657, 2149), (22, 658, 2149), (22, 659, 2150), (22, 660, 2150), (22, 661, 2150), (22, 662, 2150), (21, 663, 2151), (21, 664, 2151), (21, 665, 2151), (21, 666, 2151), (21, 667, 2151), (21, 668, 2151), (21, 669, 2151), (21, 670, 2151), (21, 671, 2151), (21, 672, 2151), (21, 673, 2151), (21, 674, 2151), (21, 675, 2151), (21, 676, 2151), (21, 677, 2151), (21, 678, 2151), (21, 679, 2151), (21, 680, 2152), (21, 681, 2152), (21, 682, 2152), (21, 683, 2152), (21, 684, 2152), (21, 685, 2152), (21, 686, 2152), (21, 687, 2152), (21, 688, 2152), (21, 689, 2152), (21, 690, 2152), (21, 691, 2152), (21, 692, 2152), (21, 693, 2152), (21, 694, 2152), (21, 695, 2151), (21, 696, 2151), (21, 697, 2151), (21, 698, 2151), (22, 699, 2150), (22, 700, 2150), (22, 701, 2150), (22, 702, 2150), (22, 703, 2150), (22, 704, 2150), (22, 705, 2150), (22, 706, 2150), (22, 707, 2150), (22, 708, 2150), (22, 709, 2150), (22, 710, 2150), (22, 711, 2150), (23, 712, 2149), (23, 713, 2149), (23, 714, 2149), (23, 715, 2149), (23, 716, 2149), (23, 717, 2149), (23, 718, 2149), (23, 719, 2149), (23, 720, 2149), (23, 721, 2149), (23, 722, 2148), (23, 723, 2148), (24, 724, 2147), (24, 725, 2147), (24, 726, 2147), (24, 727, 2147), (24, 728, 2147), (24, 729, 2147), (24, 730, 2147), (24, 731, 2147), (24, 732, 2147), (24, 733, 2147), (24, 734, 2147), (24, 735, 2147), (24, 736, 2147), (25, 737, 2146), (25, 738, 2146), (25, 739, 2146), (25, 740, 2146), (25, 741, 2146), (25, 742, 2146), (25, 743, 2146), (25, 744, 2146), (25, 745, 2146), (25, 746, 2146), (25, 747, 2146), (26, 748, 2144), (26, 749, 2144), (26, 750, 2144), (26, 751, 2144), (26, 752, 2144), (26, 753, 2144), (26, 754, 2144), (26, 755, 2144), (26, 756, 2144), (26, 757, 2144), (26, 758, 2144), (27, 759, 2143), (27, 760, 2143), (27, 761, 2143), (27, 762, 2143), (27, 763, 2143), (27, 764, 2143), (27, 765, 2143), (27, 766, 2143), (27, 767, 2143), (27, 768, 2143), (27, 769, 2143), (27, 770, 2143), (27, 771, 2143), (27, 772, 2143), (27, 773, 2143), (27, 774, 2142), (27, 775, 2142), (27, 776, 2142), (27, 777, 2142), (27, 778, 2142), (26, 779, 2143), (26, 780, 2143), (26, 781, 2143), (26, 782, 2143), (26, 783, 2143), (26, 784, 2143), (26, 785, 2143), (26, 786, 2143), (26, 787, 2143), (26, 788, 2143), (26, 789, 2143), (26, 790, 2143), (26, 791, 2143), (26, 792, 2143), (26, 793, 2143), (26, 794, 2143), (26, 795, 2143), (26, 796, 2143), (26, 797, 2143), (26, 798, 2142), (26, 799, 2142), (26, 800, 2142), (26, 801, 2142), (26, 802, 2142), (26, 803, 2142), (26, 804, 2142), (26, 805, 2142), (26, 806, 2142), (26, 807, 2142), (26, 808, 2142), (26, 809, 2142), (26, 810, 2142), (26, 811, 2142), (26, 812, 2142), (26, 813, 2142), (26, 814, 2142), (26, 815, 2142), (26, 816, 2142), (26, 817, 2142), (26, 818, 2142), (26, 819, 2142), (26, 820, 2142), (26, 821, 2141), (26, 822, 2141), (26, 823, 2141), (26, 824, 2141), (26, 825, 2141), (26, 826, 2141), (26, 827, 2141), (26, 828, 2141), (26, 829, 2141), (26, 830, 2141), (26, 831, 2141), (26, 832, 2141), (26, 833, 2141), (26, 834, 2141), (26, 835, 2141), (26, 836, 2141), (26, 837, 2141), (26, 838, 2141), (26, 839, 2140), (26, 840, 2140), (26, 841, 2140), (26, 842, 2139), (26, 843, 2139), (26, 844, 2139), (26, 845, 2139), (26, 846, 2138), (26, 847, 2138), (26, 848, 2138), (26, 849, 2137), (26, 850, 2137), (26, 851, 2137), (26, 852, 2136), (26, 853, 2136), (26, 854, 2135), (26, 855, 2135), (26, 856, 2135), (26, 857, 2134), (27, 858, 2133), (27, 859, 2133), (27, 860, 2132), (27, 861, 2132), (27, 862, 2131), (27, 863, 2131), (27, 864, 2131), (27, 865, 2130), (27, 866, 2130), (27, 867, 2130), (27, 868, 2129), (27, 869, 2129), (27, 870, 2128), (27, 871, 2128), (27, 872, 2127), (27, 873, 2127), (27, 874, 2127), (27, 875, 2126), (27, 876, 2126), (28, 877, 2124), (28, 878, 2124), (28, 879, 2123), (28, 880, 2123), (28, 881, 2122), (28, 882, 2122), (28, 883, 2121), (28, 884, 2121), (28, 885, 2120), (28, 886, 2120), (28, 887, 2119), (28, 888, 2119), (28, 889, 2118), (28, 890, 2118), (28, 891, 2117), (28, 892, 2116), (28, 893, 2116), (28, 894, 2115), (29, 895, 2114), (29, 896, 2113), (29, 897, 2113), (29, 898, 2112), (29, 899, 2112), (29, 900, 2111), (29, 901, 2110), (29, 902, 2110), (29, 903, 2109), (29, 904, 2109), (29, 905, 2108), (29, 906, 2108), (29, 907, 2107), (29, 908, 2107), (29, 909, 2106), (29, 910, 2106), (29, 911, 2105), (29, 912, 2105), (30, 913, 2104), (30, 914, 2103), (30, 915, 2103), (29, 916, 2103), (29, 917, 2103), (29, 918, 2103), (29, 919, 2102), (29, 920, 2102), (29, 921, 2102), (29, 922, 2101), (29, 923, 2101), (29, 924, 2101), (29, 925, 2100), (29, 926, 2100), (29, 927, 2100), (29, 928, 2100), (29, 929, 2099), (29, 930, 2099), (29, 931, 2099), (29, 932, 2098), (29, 933, 2098), (29, 934, 2098), (29, 935, 2097), (29, 936, 2097), (29, 937, 2097), (29, 938, 2097), (29, 939, 2096), (29, 940, 2096), (29, 941, 2096), (29, 942, 2096), (29, 943, 2095), (29, 944, 2095), (28, 945, 2096), (28, 946, 2095), (28, 947, 2095), (28, 948, 2095), (28, 949, 2095), (28, 950, 2094), (28, 951, 2094), (28, 952, 2094), (28, 953, 2094), (28, 954, 2093), (28, 955, 2093), (28, 956, 2093), (28, 957, 2093), (28, 958, 2092), (28, 959, 2092), (28, 960, 2092), (28, 961, 2092), (28, 962, 2091), (28, 963, 2091), (28, 964, 2091), (28, 965, 2091), (28, 966, 2090), (28, 967, 2090), (28, 968, 2090), (28, 969, 2090), (28, 970, 2090), (28, 971, 2089), (28, 972, 2089), (28, 973, 2089), (27, 974, 2090), (27, 975, 2089), (27, 976, 2089), (27, 977, 2089), (27, 978, 2089), (27, 979, 2089), (27, 980, 2088), (27, 981, 2088), (27, 982, 2088), (27, 983, 2088), (27, 984, 2088), (27, 985, 2087), (27, 986, 2087), (27, 987, 2087), (27, 988, 2087), (27, 989, 2087), (27, 990, 2086), (27, 991, 2086), (27, 992, 2086), (27, 993, 2085), (27, 994, 2085), (27, 995, 2085), (27, 996, 2084), (27, 997, 2084), (27, 998, 2084), (27, 999, 2083), (27, 1000, 2083), (27, 1001, 2083), (27, 1002, 2082), (27, 1003, 2082), (27, 1004, 2082), (27, 1005, 2081), (28, 1006, 2080), (28, 1007, 2079), (28, 1008, 2079), (28, 1009, 2079), (28, 1010, 2078), (28, 1011, 2078), (28, 1012, 2078), (28, 1013, 2077), (28, 1014, 2077), (28, 1015, 2077), (28, 1016, 2076), (28, 1017, 2076), (28, 1018, 2075), (28, 1019, 2075), (28, 1020, 2075), (28, 1021, 2074), (28, 1022, 2074), (28, 1023, 2074), (28, 1024, 2073), (28, 1025, 2073), (28, 1026, 2072), (28, 1027, 2072), (28, 1028, 2072), (28, 1029, 2071), (28, 1030, 2071), (28, 1031, 2070), (28, 1032, 2070), (28, 1033, 2070), (28, 1034, 2069), (28, 1035, 2069), (28, 1036, 2068), (29, 1037, 2067), (29, 1038, 2067), (29, 1039, 2066), (29, 1040, 2066), (29, 1041, 2065), (29, 1042, 2065), (29, 1043, 2065), (29, 1044, 2064), (29, 1045, 2064), (29, 1046, 2063), (29, 1047, 2063), (29, 1048, 2063), (29, 1049, 2062), (29, 1050, 2062), (29, 1051, 2061), (29, 1052, 2061), (29, 1053, 2060), (29, 1054, 2060), (29, 1055, 2059), (29, 1056, 2059), (29, 1057, 2059), (29, 1058, 2058), (29, 1059, 2058), (29, 1060, 2057), (29, 1061, 2057), (29, 1062, 2056), (29, 1063, 2056), (29, 1064, 2055), (29, 1065, 2055), (29, 1066, 2054), (29, 1067, 2054), (29, 1068, 2053), (29, 1069, 2052), (29, 1070, 2052), (29, 1071, 2051), (29, 1072, 2050), (29, 1073, 2049), (29, 1074, 2049), (29, 1075, 2048), (29, 1076, 2047), (29, 1077, 2046), (29, 1078, 2045), (29, 1079, 2045), (29, 1080, 2044), (29, 1081, 2043), (29, 1082, 2042), (29, 1083, 2041), (29, 1084, 2040), (29, 1085, 2039), (29, 1086, 2038), (29, 1087, 2037), (29, 1088, 2036), (29, 1089, 2035), (29, 1090, 2034), (29, 1091, 2033), (29, 1092, 2031), (29, 1093, 2030), (29, 1094, 2029), (29, 1095, 2028), (29, 1096, 2027), (29, 1097, 2026), (29, 1098, 2025), (29, 1099, 2024), (29, 1100, 2023), (29, 1101, 2023), (29, 1102, 2022), (29, 1103, 2021), (29, 1104, 2020), (29, 1105, 2019), (29, 1106, 2018), (29, 1107, 2018), (29, 1108, 2017), (29, 1109, 2016), (29, 1110, 2015), (29, 1111, 2014), (29, 1112, 2014), (29, 1113, 2013), (29, 1114, 2012), (29, 1115, 2012), (29, 1116, 2011), (28, 1117, 2011), (28, 1118, 2011), (28, 1119, 2010), (28, 1120, 2009), (28, 1121, 2009), (28, 1122, 2008), (28, 1123, 2008), (28, 1124, 2007), (28, 1125, 2007), (28, 1126, 2006), (28, 1127, 2005), (28, 1128, 2005), (28, 1129, 2004), (28, 1130, 2004), (28, 1131, 2003), (28, 1132, 2003), (28, 1133, 2002), (28, 1134, 2002), (28, 1135, 2001), (28, 1136, 2001), (28, 1137, 2000), (28, 1138, 2000), (28, 1139, 2000), (28, 1140, 1999), (28, 1141, 1999), (28, 1142, 1998), (28, 1143, 1998), (28, 1144, 1998), (28, 1145, 1997), (28, 1146, 1997), (28, 1147, 1997), (28, 1148, 1996), (28, 1149, 1996), (28, 1150, 1996), (28, 1151, 1995), (28, 1152, 1995), (28, 1153, 1995), (28, 1154, 1994), (28, 1155, 1994), (28, 1156, 1994), (28, 1157, 1993), (28, 1158, 1993), (28, 1159, 1993), (28, 1160, 1992), (28, 1161, 1992), (28, 1162, 1992), (28, 1163, 1991), (28, 1164, 1991), (28, 1165, 1991), (28, 1166, 1990), (28, 1167, 1990), (28, 1168, 1990), (28, 1169, 1989), (28, 1170, 1989), (28, 1171, 1988), (28, 1172, 1988), (28, 1173, 1988), (28, 1174, 1987), (28, 1175, 1987), (29, 1176, 1985), (29, 1177, 1985), (29, 1178, 1985), (29, 1179, 1984), (29, 1180, 1984), (29, 1181, 1983), (29, 1182, 1983), (29, 1183, 1983), (29, 1184, 1982), (29, 1185, 1982), (29, 1186, 1981), (29, 1187, 1981), (29, 1188, 1981), (29, 1189, 1980), (29, 1190, 1980), (29, 1191, 1979), (29, 1192, 1979), (29, 1193, 1978), (29, 1194, 1978), (29, 1195, 1978), (29, 1196, 1977), (29, 1197, 1977), (29, 1198, 1976), (29, 1199, 1976), (29, 1200, 1975), (29, 1201, 1975), (29, 1202, 1974), (29, 1203, 1974), (29, 1204, 1973), (29, 1205, 1973), (29, 1206, 1972), (29, 1207, 1972), (29, 1208, 1971), (29, 1209, 1971), (29, 1210, 1970), (29, 1211, 1970), (29, 1212, 1969), (29, 1213, 1969), (29, 1214, 1968), (29, 1215, 1968), (29, 1216, 1967), (29, 1217, 1967), (29, 1218, 1966), (29, 1219, 1966), (29, 1220, 1965), (29, 1221, 1964), (29, 1222, 1964), (29, 1223, 1963), (29, 1224, 1962), (29, 1225, 1962), (29, 1226, 1961), (29, 1227, 1960), (29, 1228, 1959), (29, 1229, 1959), (29, 1230, 1958), (29, 1231, 1957), (29, 1232, 1956), (29, 1233, 1955), (29, 1234, 1955), (29, 1235, 1954), (29, 1236, 1953), (29, 1237, 1952), (29, 1238, 1951), (29, 1239, 1950), (29, 1240, 1949), (29, 1241, 1949), (29, 1242, 1948), (29, 1243, 1947), (29, 1244, 1946), (29, 1245, 1946), (29, 1246, 1945), (29, 1247, 1944), (29, 1248, 1943), (29, 1249, 1943), (29, 1250, 1942), (29, 1251, 1941), (29, 1252, 1941), (29, 1253, 1940), (29, 1254, 1939), (29, 1255, 1939), (29, 1256, 1938), (29, 1257, 1937), (29, 1258, 1937), (29, 1259, 1936), (29, 1260, 1936), (29, 1261, 1935), (29, 1262, 1935), (29, 1263, 1934), (29, 1264, 1933), (29, 1265, 1933), (29, 1266, 1932), (29, 1267, 1932), (29, 1268, 1931), (29, 1269, 1931), (29, 1270, 1930), (29, 1271, 1930), (29, 1272, 1929), (29, 1273, 1929), (29, 1274, 1928), (29, 1275, 1928), (29, 1276, 1928), (29, 1277, 1927), (29, 1278, 1927), (29, 1279, 1926), (29, 1280, 1926), (29, 1281, 1925), (29, 1282, 1925), (29, 1283, 1925), (29, 1284, 1924), (29, 1285, 1924), (29, 1286, 1923), (29, 1287, 1923), (29, 1288, 1923), (29, 1289, 1922), (29, 1290, 1922), (29, 1291, 1921), (29, 1292, 1921), (29, 1293, 1921), (29, 1294, 1921), (30, 1295, 1919), (30, 1296, 1919), (30, 1297, 1919), (30, 1298, 1919), (30, 1299, 1918), (30, 1300, 1918), (30, 1301, 1918), (30, 1302, 1918), (30, 1303, 1917), (30, 1304, 1917), (30, 1305, 1917), (30, 1306, 1917), (30, 1307, 1917), (30, 1308, 1916), (30, 1309, 1916), (30, 1310, 1916), (30, 1311, 1916), (30, 1312, 1915), (30, 1313, 1915), (30, 1314, 1915), (30, 1315, 1915), (30, 1316, 1914), (30, 1317, 1914), (30, 1318, 1914), (30, 1319, 1914), (30, 1320, 1913), (31, 1321, 1912), (31, 1322, 1912), (31, 1323, 1912), (31, 1324, 1911), (31, 1325, 1911), (31, 1326, 1911), (31, 1327, 1911), (31, 1328, 1910), (31, 1329, 1910), (31, 1330, 1910), (31, 1331, 1910), (31, 1332, 1909), (31, 1333, 1909), (31, 1334, 1909), (31, 1335, 1909), (31, 1336, 1908), (31, 1337, 1908), (31, 1338, 1908), (31, 1339, 1907), (31, 1340, 1907), (31, 1341, 1907), (31, 1342, 1907), (31, 1343, 1906), (31, 1344, 1906), (31, 1345, 1906), (31, 1346, 1906), (32, 1347, 1904), (32, 1348, 1904), (32, 1349, 1904), (32, 1350, 1904), (32, 1351, 1903), (32, 1352, 1903), (32, 1353, 1903), (32, 1354, 1902), (32, 1355, 1902), (32, 1356, 1902), (32, 1357, 1902), (32, 1358, 1901), (32, 1359, 1901), (32, 1360, 1901), (32, 1361, 1900), (32, 1362, 1900), (32, 1363, 1900), (32, 1364, 1900), (32, 1365, 1899), (32, 1366, 1899), (32, 1367, 1899), (32, 1368, 1898), (32, 1369, 1898), (32, 1370, 1898), (33, 1371, 1896), (33, 1372, 1896), (33, 1373, 1895), (33, 1374, 1895), (33, 1375, 1894), (33, 1376, 1894), (33, 1377, 1893), (33, 1378, 1893), (33, 1379, 1892), (33, 1380, 1892), (33, 1381, 1891), (33, 1382, 1891), (33, 1383, 1890), (33, 1384, 1890), (34, 1385, 1888), (34, 1386, 1887), (34, 1387, 1887), (34, 1388, 1886), (34, 1389, 1886), (34, 1390, 1885), (34, 1391, 1885), (34, 1392, 1884), (34, 1393, 1883), (34, 1394, 1883), (34, 1395, 1882), (34, 1396, 1881), (34, 1397, 1881), (34, 1398, 1880), (35, 1399, 1878), (35, 1400, 1877), (35, 1401, 1877), (35, 1402, 1876), (35, 1403, 1875), (35, 1404, 1874), (35, 1405, 1874), (35, 1406, 1873), (35, 1407, 1872), (35, 1408, 1871), (35, 1409, 1870), (35, 1410, 1869), (35, 1411, 1869), (35, 1412, 1868), (36, 1413, 1866), (36, 1414, 1865), (36, 1415, 1864), (36, 1416, 1863), (36, 1417, 1862), (36, 1418, 1861), (36, 1419, 1860), (36, 1420, 1860), (36, 1421, 1859), (36, 1422, 1858), (36, 1423, 1857), (36, 1424, 1857), (36, 1425, 1856), (37, 1426, 1854), (37, 1427, 1853), (37, 1428, 1853), (37, 1429, 1852), (37, 1430, 1851), (37, 1431, 1851), (37, 1432, 1850), (37, 1433, 1849), (37, 1434, 1849), (37, 1435, 1848), (37, 1436, 1848), (37, 1437, 1847), (37, 1438, 1846), (38, 1439, 1845), (38, 1440, 1844), (38, 1441, 1844), (38, 1442, 1843), (38, 1443, 1843), (38, 1444, 1842), (38, 1445, 1842), (38, 1446, 1841), (38, 1447, 1841), (38, 1448, 1841), (38, 1449, 1841), (38, 1450, 1840), (38, 1451, 1840), (38, 1452, 1840), (38, 1453, 1840), (38, 1454, 1839), (38, 1455, 1839), (38, 1456, 1839), (38, 1457, 1839), (38, 1458, 1838), (38, 1459, 1838), (38, 1460, 1838), (38, 1461, 1838), (38, 1462, 1837), (38, 1463, 1837), (39, 1464, 1836), (39, 1465, 1836), (39, 1466, 1835), (39, 1467, 1835), (39, 1468, 1835), (39, 1469, 1835), (39, 1470, 1834), (39, 1471, 1834), (39, 1472, 1834), (39, 1473, 1834), (39, 1474, 1834), (39, 1475, 1833), (39, 1476, 1833), (39, 1477, 1833), (39, 1478, 1833), (39, 1479, 1832), (39, 1480, 1832), (39, 1481, 1832), (39, 1482, 1832), (39, 1483, 1832), (39, 1484, 1831), (39, 1485, 1831), (39, 1486, 1831), (39, 1487, 1831), (39, 1488, 1831), (39, 1489, 1830), (39, 1490, 1830), (39, 1491, 1830), (39, 1492, 1830), (39, 1493, 1830), (39, 1494, 1829), (39, 1495, 1829), (39, 1496, 1829), (39, 1497, 1829), (39, 1498, 1829), (39, 1499, 1828), (39, 1500, 1828), (39, 1501, 1828), (40, 1502, 1827), (40, 1503, 1827), (40, 1504, 1826), (40, 1505, 1826), (40, 1506, 1826), (40, 1507, 1826), (40, 1508, 1826), (40, 1509, 1826), (40, 1510, 1825), (40, 1511, 1825), (40, 1512, 1825), (40, 1513, 1825), (40, 1514, 1825), (40, 1515, 1824), (40, 1516, 1824), (40, 1517, 1824), (40, 1518, 1824), (40, 1519, 1824), (40, 1520, 1824), (40, 1521, 1823), (40, 1522, 1823), (40, 1523, 1823), (40, 1524, 1823), (40, 1525, 1823), (40, 1526, 1823), (40, 1527, 1823), (40, 1528, 1823), (40, 1529, 1822), (40, 1530, 1822), (40, 1531, 1822), (40, 1532, 1822), (40, 1533, 1822), (40, 1534, 1822), (40, 1535, 1822), (40, 1536, 1822), (40, 1537, 1822), (40, 1538, 1821), (40, 1539, 1821), (40, 1540, 1821), (40, 1541, 1821), (40, 1542, 1821), (40, 1543, 1821), (40, 1544, 1821), (41, 1545, 1820), (41, 1546, 1819), (41, 1547, 1819), (41, 1548, 1819), (41, 1549, 1819), (41, 1550, 1819), (41, 1551, 1819), (41, 1552, 1819), (41, 1553, 1819), (41, 1554, 1818), (41, 1555, 1818), (41, 1556, 1818), (41, 1557, 1818), (41, 1558, 1818), (41, 1559, 1818), (41, 1560, 1818), (41, 1561, 1818), (41, 1562, 1817), (41, 1563, 1817), (41, 1564, 1817), (41, 1565, 1817), (41, 1566, 1817), (41, 1567, 1817), (41, 1568, 1817), (41, 1569, 1817), (41, 1570, 1816), (41, 1571, 1816), (41, 1572, 1816), (41, 1573, 1816), (41, 1574, 1816), (41, 1575, 1816), (41, 1576, 1816), (41, 1577, 1816), (41, 1578, 1815), (41, 1579, 1815), (41, 1580, 1815), (41, 1581, 1815), (41, 1582, 1815), (41, 1583, 1815), (41, 1584, 1815), (41, 1585, 1815), (41, 1586, 1814), (41, 1587, 1814), (41, 1588, 1814), (41, 1589, 1814), (42, 1590, 1813), (42, 1591, 1813), (42, 1592, 1813), (42, 1593, 1813), (42, 1594, 1812), (42, 1595, 1812), (42, 1596, 1812), (42, 1597, 1812), (42, 1598, 1812), (42, 1599, 1812), (41, 1600, 1813), (41, 1601, 1813), (41, 1602, 1813), (41, 1603, 1812), (41, 1604, 1812), (41, 1605, 1812), (41, 1606, 1812), (41, 1607, 1812), (41, 1608, 1812), (41, 1609, 1812), (41, 1610, 1812), (41, 1611, 1812), (41, 1612, 1812), (41, 1613, 1811), (41, 1614, 1811), (41, 1615, 1811), (41, 1616, 1811), (41, 1617, 1811), (41, 1618, 1811), (41, 1619, 1811), (41, 1620, 1811), (41, 1621, 1811), (40, 1622, 1811), (40, 1623, 1811), (40, 1624, 1811), (40, 1625, 1811), (40, 1626, 1811), (40, 1627, 1811), (40, 1628, 1811), (40, 1629, 1811), (40, 1630, 1811), (40, 1631, 1810), (40, 1632, 1810), (40, 1633, 1810), (40, 1634, 1810), (40, 1635, 1810), (40, 1636, 1810), (40, 1637, 1810), (40, 1638, 1810), (40, 1639, 1810), (40, 1640, 1809), (40, 1641, 1809), (40, 1642, 1809), (40, 1643, 1809), (39, 1644, 1810), (39, 1645, 1810), (39, 1646, 1810), (39, 1647, 1810), (39, 1648, 1809), (39, 1649, 1809), (39, 1650, 1809), (39, 1651, 1809), (39, 1652, 1809), (39, 1653, 1809), (39, 1654, 1809), (39, 1655, 1809), (39, 1656, 1809), (39, 1657, 1808), (39, 1658, 1808), (39, 1659, 1808), (39, 1660, 1808), (39, 1661, 1808), (39, 1662, 1808), (39, 1663, 1808), (39, 1664, 1808), (39, 1665, 1807), (39, 1666, 1807), (39, 1667, 1807), (38, 1668, 1808), (38, 1669, 1808), (38, 1670, 1808), (38, 1671, 1808), (38, 1672, 1807), (38, 1673, 1807), (39, 1674, 1806), (39, 1675, 1806), (39, 1676, 1806), (39, 1677, 1805), (39, 1678, 1805), (39, 1679, 1805), (40, 1680, 1804), (40, 1681, 1803), (40, 1682, 1803), (40, 1683, 1803), (40, 1684, 1803), (40, 1685, 1802), (40, 1686, 1802), (41, 1687, 1801), (41, 1688, 1801), (41, 1689, 1800), (41, 1690, 1800), (41, 1691, 1800), (41, 1692, 1800), (42, 1693, 1798), (42, 1694, 1798), (42, 1695, 1798), (42, 1696, 1798), (42, 1697, 1797), (42, 1698, 1797), (43, 1699, 1796), (43, 1700, 1796), (43, 1701, 1795), (43, 1702, 1795), (43, 1703, 1795), (43, 1704, 1794), (44, 1705, 1793), (44, 1706, 1793), (44, 1707, 1793), (44, 1708, 1792), (44, 1709, 1792), (44, 1710, 1792), (45, 1711, 1790), (45, 1712, 1790), (45, 1713, 1790), (45, 1714, 1790), (45, 1715, 1789), (45, 1716, 1789), (46, 1717, 1788), (46, 1718, 1787), (46, 1719, 1787), (46, 1720, 1787), (46, 1721, 1786), (47, 1722, 1785), (47, 1723, 1785), (47, 1724, 1784), (47, 1725, 1784), (47, 1726, 1784), (47, 1727, 1783), (48, 1728, 1782), (48, 1729, 1782), (48, 1730, 1781), (48, 1731, 1781), (49, 1732, 1780), (49, 1733, 1779), (49, 1734, 1779), (49, 1735, 1779), (49, 1736, 1778), (50, 1737, 1777), (50, 1738, 1776), (50, 1739, 1776), (50, 1740, 1776), (50, 1741, 1775), (51, 1742, 1774), (51, 1743, 1773), (51, 1744, 1773), (51, 1745, 1773), (51, 1746, 1772), (52, 1747, 1771), (52, 1748, 1770), (52, 1749, 1770), (52, 1750, 1770), (52, 1751, 1769), (52, 1752, 1769), (52, 1753, 1769), (52, 1754, 1768), (52, 1755, 1768), (52, 1756, 1767), (52, 1757, 1767), (52, 1758, 1766), (52, 1759, 1766), (52, 1760, 1766), (52, 1761, 1765), (52, 1762, 1765), (52, 1763, 1764), (52, 1764, 1764), (52, 1765, 1763), (52, 1766, 1763), (52, 1767, 1763), (52, 1768, 1762), (52, 1769, 1762), (52, 1770, 1762), (52, 1771, 1761), (52, 1772, 1761), (52, 1773, 1760), (52, 1774, 1760), (52, 1775, 1760), (52, 1776, 1759), (52, 1777, 1759), (52, 1778, 1758), (52, 1779, 1758), (52, 1780, 1758), (52, 1781, 1757), (52, 1782, 1757), (52, 1783, 1757), (52, 1784, 1756), (52, 1785, 1756), (52, 1786, 1756), (52, 1787, 1755), (52, 1788, 1755), (52, 1789, 1755), (52, 1790, 1754), (52, 1791, 1754), (52, 1792, 1754), (52, 1793, 1753), (52, 1794, 1753), (52, 1795, 1753), (52, 1796, 1752), (52, 1797, 1752), (52, 1798, 1752), (52, 1799, 1751), (52, 1800, 1751), (52, 1801, 1751), (52, 1802, 1750), (52, 1803, 1750), (52, 1804, 1750), (52, 1805, 1749), (52, 1806, 1749), (52, 1807, 1749), (52, 1808, 1749), (52, 1809, 1748), (52, 1810, 1748), (52, 1811, 1748), (52, 1812, 1747), (52, 1813, 1747), (52, 1814, 1747), (53, 1815, 1745), (53, 1816, 1745), (53, 1817, 1745), (53, 1818, 1745), (53, 1819, 1744), (53, 1820, 1744), (53, 1821, 1744), (53, 1822, 1743), (53, 1823, 1743), (53, 1824, 1743), (53, 1825, 1743), (54, 1826, 1741), (54, 1827, 1741), (55, 1828, 1740), (55, 1829, 1739), (56, 1830, 1738), (56, 1831, 1737), (57, 1832, 1736), (57, 1833, 1736), (58, 1834, 1734), (58, 1835, 1734), (59, 1836, 1733), (59, 1837, 1732), (60, 1838, 1731), (60, 1839, 1731), (61, 1840, 1729), (61, 1841, 1729), (62, 1842, 1728), (62, 1843, 1727), (62, 1844, 1727), (63, 1845, 1725), (63, 1846, 1725), (64, 1847, 1724), (64, 1848, 1723), (65, 1849, 1722), (65, 1850, 1722), (66, 1851, 1720), (66, 1852, 1720), (67, 1853, 1718), (67, 1854, 1718), (68, 1855, 1717), (68, 1856, 1716), (69, 1857, 1715), (69, 1858, 1715), (69, 1859, 1714), (70, 1860, 1713), (70, 1861, 1712), (71, 1862, 1711), (71, 1863, 1711), (72, 1864, 1709), (72, 1865, 1709), (73, 1866, 1707), (73, 1867, 1707), (73, 1868, 1707), (74, 1869, 1705), (74, 1870, 1705), (75, 1871, 1703), (75, 1872, 1703), (76, 1873, 1702), (76, 1874, 1701), (77, 1875, 1700), (77, 1876, 1699), (77, 1877, 1699), (78, 1878, 1698), (78, 1879, 1697), (79, 1880, 1696), (79, 1881, 1695), (80, 1882, 1694), (80, 1883, 1694), (80, 1884, 1693), (81, 1885, 1692), (81, 1886, 1691), (82, 1887, 1690), (82, 1888, 1689), (83, 1889, 1688), (83, 1890, 1688), (83, 1891, 1687), (84, 1892, 1686), (84, 1893, 1685), (85, 1894, 1684), (85, 1895, 1683), (86, 1896, 1682), (86, 1897, 1681), (86, 1898, 1681), (87, 1899, 1680), (87, 1900, 1679), (88, 1901, 1678), (88, 1902, 1677), (88, 1903, 1677), (89, 1904, 1675), (89, 1905, 1675), (89, 1906, 1674), (90, 1907, 1673), (90, 1908, 1672), (91, 1909, 1671), (91, 1910, 1670), (91, 1911, 1670), (92, 1912, 1668), (92, 1913, 1668), (93, 1914, 1666), (93, 1915, 1666), (93, 1916, 1665), (94, 1917, 1663), (94, 1918, 1663), (95, 1919, 1661), (95, 1920, 1661), (96, 1921, 1659), (96, 1922, 1659), (97, 1923, 1657), (97, 1924, 1657), (98, 1925, 1655), (98, 1926, 1654), (99, 1927, 1653), (99, 1928, 1652), (99, 1929, 1652), (100, 1930, 1650), (101, 1931, 1648), (101, 1932, 1648), (102, 1933, 1646), (102, 1934, 1645), (103, 1935, 1644), (103, 1936, 1643), (104, 1937, 1641), (104, 1938, 1641), (105, 1939, 1639), (105, 1940, 1638), (106, 1941, 1637), (107, 1942, 1635), (107, 1943, 1634), (108, 1944, 1633), (108, 1945, 1632), (109, 1946, 1630), (110, 1947, 1628), (110, 1948, 1627), (111, 1949, 1626), (112, 1950, 1624), (112, 1951, 1623), (113, 1952, 1621), (114, 1953, 1619), (114, 1954, 1619), (115, 1955, 1617), (116, 1956, 1615), (116, 1957, 1614), (117, 1958, 1613), (118, 1959, 1611), (119, 1960, 1609), (119, 1961, 1608), (120, 1962, 1606), (121, 1963, 83), (211, 1963, 1515), (122, 1964, 69), (218, 1964, 1507), (123, 1965, 57), (225, 1965, 1499), (124, 1966, 46), (232, 1966, 1491), (124, 1967, 36), (240, 1967, 1483), (125, 1968, 26), (247, 1968, 1475), (126, 1969, 17), (254, 1969, 1467), (127, 1970, 8), (262, 1970, 1459), (270, 1971, 1450), (277, 1972, 1442), (285, 1973, 1433), (292, 1974, 1426), (297, 1975, 1420), (302, 1976, 1414), (307, 1977, 1408), (312, 1978, 1402), (317, 1979, 1396), (323, 1980, 1389), (329, 1981, 1382), (336, 1982, 1374), (342, 1983, 1366), (349, 1984, 1358), (357, 1985, 1349), (365, 1986, 1340), (371, 1987, 1333), (375, 1988, 1327), (379, 1989, 1322), (383, 1990, 1317), (387, 1991, 1312), (392, 1992, 1305), (396, 1993, 1300), (400, 1994, 1295), (405, 1995, 1288), (409, 1996, 1283), (414, 1997, 1276), (419, 1998, 1270), (424, 1999, 1263), (429, 2000, 1257), (434, 2001, 1250), (439, 2002, 1244), (444, 2003, 1237), (450, 2004, 1230), (454, 2005, 1224), (459, 2006, 1217), (464, 2007, 1210), (469, 2008, 1204), (474, 2009, 1197), (479, 2010, 1190), (485, 2011, 1182), (490, 2012, 1175), (495, 2013, 1168), (501, 2014, 1160), (506, 2015, 1142), (512, 2016, 1064), (518, 2017, 1054), (523, 2018, 1045), (529, 2019, 1035), (535, 2020, 1025), (540, 2021, 1016), (545, 2022, 1007), (550, 2023, 998), (555, 2024, 989), (559, 2025, 982), (564, 2026, 973), (569, 2027, 964), (573, 2028, 957), (578, 2029, 948), (582, 2030, 941), (586, 2031, 933), (591, 2032, 925), (595, 2033, 918), (599, 2034, 910), (603, 2035, 903), (607, 2036, 896), (611, 2037, 889), (614, 2038, 879), (617, 2039, 866), (619, 2040, 855), (622, 2041, 842), (624, 2042, 831), (627, 2043, 819), (629, 2044, 808), (631, 2045, 798), (634, 2046, 786), (636, 2047, 779), (638, 2048, 774), (640, 2049, 769), (642, 2050, 764), (644, 2051, 758), (646, 2052, 754), (647, 2053, 750), (649, 2054, 745), (651, 2055, 740), (653, 2056, 735), (655, 2057, 729), (656, 2058, 725), (658, 2059, 720), (660, 2060, 714), (662, 2061, 709), (664, 2062, 703), (666, 2063, 698), (669, 2064, 691), (671, 2065, 685), (673, 2066, 679), (675, 2067, 674), (678, 2068, 666), (680, 2069, 660), (683, 2070, 653), (685, 2071, 646), (688, 2072, 638), (690, 2073, 631), (694, 2074, 622), (698, 2075, 612), (702, 2076, 603), (707, 2077, 592), (711, 2078, 583), (715, 2079, 573), (720, 2080, 562), (724, 2081, 553), (728, 2082, 543), (732, 2083, 533), (737, 2084, 522), (741, 2085, 512), (745, 2086, 503), (749, 2087, 494), (753, 2088, 485), (757, 2089, 476), (761, 2090, 467), (765, 2091, 458), (769, 2092, 449), (773, 2093, 441), (776, 2094, 433), (779, 2095, 426), (783, 2096, 418), (786, 2097, 411), (789, 2098, 404), (792, 2099, 396), (795, 2100, 390), (799, 2101, 382), (802, 2102, 375), (805, 2103, 369), (808, 2104, 364), (811, 2105, 358), (814, 2106, 353), (817, 2107, 348), (820, 2108, 343), (823, 2109, 338), (826, 2110, 332), (829, 2111, 327), (833, 2112, 321), (836, 2113, 316), (839, 2114, 312), (842, 2115, 307), (845, 2116, 302), (848, 2117, 297), (851, 2118, 292), (853, 2119, 288), (857, 2120, 283), (860, 2121, 278), (862, 2122, 274), (865, 2123, 270), (868, 2124, 265), (871, 2125, 260), (873, 2126, 257), (876, 2127, 252), (879, 2128, 247), (882, 2129, 243), (885, 2130, 238), (888, 2131, 233), (891, 2132, 228), (895, 2133, 222), (898, 2134, 217), (901, 2135, 212), (904, 2136, 207), (908, 2137, 200), (911, 2138, 195), (915, 2139, 189), (919, 2140, 182), (922, 2141, 177), (926, 2142, 171), (930, 2143, 162), (934, 2144, 149), (943, 2145, 132), (953, 2146, 114), (963, 2147, 95), (973, 2148, 76), (984, 2149, 56), (994, 2150, 37), (1006, 2151, 16)], ['1021,2151,934,2144,772,2092,690,2073,610,2036,291,1973,211,1963,127,1970,53,1825,38,1673,38,1439,29,1294,29,895,21,698,27,540,39,458,93,308,117,277,210,206,283,182,368,133,519,121,1428,121,1568,127,1659,141,1757,175,1900,203,1999,283,2075,377,2122,488,2152,535,2169,619,2166,838,2133,911,2082,1067,2027,1137,1994,1219,1949,1291,1929,1370,1878,1446,1862,1521,1845,1671,1770,1890,1709,1982,1660,2014,1576,2015,1420,2045,1335,2070,1169,2104,1096,2142'])], 'temp/1738463792_2241491_917877156_a9c2d4b99270c9302def4ed40606e685.jpg']}
nb pixel non reg : 3692295
nb pixel common : 3687763
proportion of common points : 0.998772579114074
[('test release memory', 'FAILURE', False), ('test detect objet', 'SUCCESS', True), ('test polygone', 'SUCCESS', True)]
 res_total : False


#&_# TEST FAILED #&_# : tests/mask_test #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','mask_detection','unknown');

#&_# END OF TEST #&_# : tests/mask_test #&_# 





#&_# BEGIN OF TEST : tests/datou_test #&_# 


/home/admin/workarea/git/Velours/python/tests/datou_test.py
<module 'tests.datou_test' from '/home/admin/workarea/git/Velours/python/tests/datou_test.py'>
Datou All Test
python version used : 3

############################### TEST sam  ################################
TEST SAM
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4573

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4573
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4573
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4573
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : sam
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1189321094) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 1189321094
download finish for photo 1189321094
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.16994690895080566
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
WARNING : we have an input that is not a photo, we should get rid of it
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:sam
Sun Feb  2 03:37:23 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738463843_2241491_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1738463843_2241491_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png', 'extension': 'png'}}
map_subphoto_mainphoto : {}

Beginning of datou step sam !
pht : 4677
Inside sam : nb paths : 1
(640, 960, 3)
time for calcul the mask position with numpy : 0.002011537551879883
nb_pixel_total : 5629
time to create 1 rle with old method : 0.006613731384277344
time for calcul the mask position with numpy : 0.0014719963073730469
nb_pixel_total : 12039
time to create 1 rle with old method : 0.013177871704101562
time for calcul the mask position with numpy : 0.001402139663696289
nb_pixel_total : 2939
time to create 1 rle with old method : 0.0032083988189697266
time for calcul the mask position with numpy : 0.0018334388732910156
nb_pixel_total : 83829
time to create 1 rle with old method : 0.08817720413208008
time for calcul the mask position with numpy : 0.0014781951904296875
nb_pixel_total : 1226
time to create 1 rle with old method : 0.0015716552734375
time for calcul the mask position with numpy : 0.0014662742614746094
nb_pixel_total : 13922
time to create 1 rle with old method : 0.016584396362304688
time for calcul the mask position with numpy : 0.0014693737030029297
nb_pixel_total : 16527
time to create 1 rle with old method : 0.018723726272583008
time for calcul the mask position with numpy : 0.0016295909881591797
nb_pixel_total : 38737
time to create 1 rle with old method : 0.044104576110839844
time for calcul the mask position with numpy : 0.0014803409576416016
nb_pixel_total : 4324
time to create 1 rle with old method : 0.004804372787475586
time for calcul the mask position with numpy : 0.0015459060668945312
nb_pixel_total : 2796
time to create 1 rle with old method : 0.0034422874450683594
time for calcul the mask position with numpy : 0.0014324188232421875
nb_pixel_total : 3353
time to create 1 rle with old method : 0.0041713714599609375
time for calcul the mask position with numpy : 0.0013644695281982422
nb_pixel_total : 10868
time to create 1 rle with old method : 0.011692523956298828
time for calcul the mask position with numpy : 0.0013761520385742188
nb_pixel_total : 3797
time to create 1 rle with old method : 0.004131317138671875
time for calcul the mask position with numpy : 0.0017211437225341797
nb_pixel_total : 29439
time to create 1 rle with old method : 0.0332794189453125
time for calcul the mask position with numpy : 0.00156402587890625
nb_pixel_total : 2446
time to create 1 rle with old method : 0.002821207046508789
time for calcul the mask position with numpy : 0.0014786720275878906
nb_pixel_total : 9799
time to create 1 rle with old method : 0.011208057403564453
time for calcul the mask position with numpy : 0.0014123916625976562
nb_pixel_total : 2453
time to create 1 rle with old method : 0.003032207489013672
time for calcul the mask position with numpy : 0.001519918441772461
nb_pixel_total : 3951
time to create 1 rle with old method : 0.005089521408081055
time for calcul the mask position with numpy : 0.0014393329620361328
nb_pixel_total : 3109
time to create 1 rle with old method : 0.003635406494140625
time for calcul the mask position with numpy : 0.0015320777893066406
nb_pixel_total : 6633
time to create 1 rle with old method : 0.007715463638305664
time for calcul the mask position with numpy : 0.001481771469116211
nb_pixel_total : 13102
time to create 1 rle with old method : 0.02024245262145996
time for calcul the mask position with numpy : 0.002504110336303711
nb_pixel_total : 2079
time to create 1 rle with old method : 0.003942012786865234
time for calcul the mask position with numpy : 0.0024127960205078125
nb_pixel_total : 16341
time to create 1 rle with old method : 0.04331779479980469
time for calcul the mask position with numpy : 0.0018494129180908203
nb_pixel_total : 2752
time to create 1 rle with old method : 0.008015155792236328
time for calcul the mask position with numpy : 0.0019061565399169922
nb_pixel_total : 876
time to create 1 rle with old method : 0.0014657974243164062
time for calcul the mask position with numpy : 0.0018849372863769531
nb_pixel_total : 7636
time to create 1 rle with old method : 0.009488105773925781
time for calcul the mask position with numpy : 0.0015232563018798828
nb_pixel_total : 4298
time to create 1 rle with old method : 0.00543522834777832
time for calcul the mask position with numpy : 0.0015087127685546875
nb_pixel_total : 5476
time to create 1 rle with old method : 0.006660938262939453
time for calcul the mask position with numpy : 0.001505136489868164
nb_pixel_total : 1390
time to create 1 rle with old method : 0.0018575191497802734
time for calcul the mask position with numpy : 0.0015103816986083984
nb_pixel_total : 5432
time to create 1 rle with old method : 0.0063893795013427734
time for calcul the mask position with numpy : 0.0015494823455810547
nb_pixel_total : 10607
time to create 1 rle with old method : 0.012178182601928711
time for calcul the mask position with numpy : 0.0015265941619873047
nb_pixel_total : 8598
time to create 1 rle with old method : 0.00945138931274414
time for calcul the mask position with numpy : 0.0014166831970214844
nb_pixel_total : 3895
time to create 1 rle with old method : 0.0047833919525146484
time for calcul the mask position with numpy : 0.0014188289642333984
nb_pixel_total : 968
time to create 1 rle with old method : 0.0011944770812988281
time for calcul the mask position with numpy : 0.0013802051544189453
nb_pixel_total : 4103
time to create 1 rle with old method : 0.004957675933837891
time for calcul the mask position with numpy : 0.0015437602996826172
nb_pixel_total : 39319
time to create 1 rle with old method : 0.04535865783691406
time for calcul the mask position with numpy : 0.0013799667358398438
nb_pixel_total : 14654
time to create 1 rle with old method : 0.01692032814025879
time for calcul the mask position with numpy : 0.0014140605926513672
nb_pixel_total : 1058
time to create 1 rle with old method : 0.001329660415649414
time for calcul the mask position with numpy : 0.0014226436614990234
nb_pixel_total : 2734
time to create 1 rle with old method : 0.0031690597534179688
time for calcul the mask position with numpy : 0.0013895034790039062
nb_pixel_total : 13075
time to create 1 rle with old method : 0.01517629623413086
time for calcul the mask position with numpy : 0.0015218257904052734
nb_pixel_total : 4177
time to create 1 rle with old method : 0.005051374435424805
time for calcul the mask position with numpy : 0.001375436782836914
nb_pixel_total : 3335
time to create 1 rle with old method : 0.004069089889526367
time for calcul the mask position with numpy : 0.0013921260833740234
nb_pixel_total : 1025
time to create 1 rle with old method : 0.0012590885162353516
time for calcul the mask position with numpy : 0.0014221668243408203
nb_pixel_total : 2382
time to create 1 rle with old method : 0.0030159950256347656
time for calcul the mask position with numpy : 0.0014204978942871094
nb_pixel_total : 1647
time to create 1 rle with old method : 0.002056598663330078
time for calcul the mask position with numpy : 0.0013697147369384766
nb_pixel_total : 1251
time to create 1 rle with old method : 0.0015554428100585938
time for calcul the mask position with numpy : 0.0014238357543945312
nb_pixel_total : 343
time to create 1 rle with old method : 0.00046634674072265625
time for calcul the mask position with numpy : 0.004145383834838867
nb_pixel_total : 1706
time to create 1 rle with old method : 0.0021681785583496094
time for calcul the mask position with numpy : 0.0015590190887451172
nb_pixel_total : 27549
time to create 1 rle with old method : 0.030698776245117188
time for calcul the mask position with numpy : 0.0013604164123535156
nb_pixel_total : 861
time to create 1 rle with old method : 0.0011973381042480469
time for calcul the mask position with numpy : 0.0014603137969970703
nb_pixel_total : 594
time to create 1 rle with old method : 0.0007379055023193359
time for calcul the mask position with numpy : 0.001402139663696289
nb_pixel_total : 2324
time to create 1 rle with old method : 0.0027267932891845703
time for calcul the mask position with numpy : 0.0014736652374267578
nb_pixel_total : 1994
time to create 1 rle with old method : 0.0028290748596191406
time for calcul the mask position with numpy : 0.001439809799194336
nb_pixel_total : 713
time to create 1 rle with old method : 0.0009720325469970703
time for calcul the mask position with numpy : 0.0016541481018066406
nb_pixel_total : 340
time to create 1 rle with old method : 0.00048804283142089844
time for calcul the mask position with numpy : 0.0014317035675048828
nb_pixel_total : 1554
time to create 1 rle with old method : 0.0018422603607177734
time for calcul the mask position with numpy : 0.0014107227325439453
nb_pixel_total : 889
time to create 1 rle with old method : 0.0011010169982910156
time for calcul the mask position with numpy : 0.0014369487762451172
nb_pixel_total : 1163
time to create 1 rle with old method : 0.001486063003540039
time for calcul the mask position with numpy : 0.0014452934265136719
nb_pixel_total : 693
time to create 1 rle with old method : 0.00096893310546875
time for calcul the mask position with numpy : 0.0014350414276123047
nb_pixel_total : 2407
time to create 1 rle with old method : 0.0030825138092041016
time for calcul the mask position with numpy : 0.0015892982482910156
nb_pixel_total : 27399
time to create 1 rle with old method : 0.03343701362609863
time for calcul the mask position with numpy : 0.0014908313751220703
nb_pixel_total : 576
time to create 1 rle with old method : 0.0007190704345703125
time for calcul the mask position with numpy : 0.0014357566833496094
nb_pixel_total : 1205
time to create 1 rle with old method : 0.0014607906341552734
time for calcul the mask position with numpy : 0.0014345645904541016
nb_pixel_total : 1073
time to create 1 rle with old method : 0.0013401508331298828
time for calcul the mask position with numpy : 0.0014197826385498047
nb_pixel_total : 587
time to create 1 rle with old method : 0.0007522106170654297
time for calcul the mask position with numpy : 0.0014922618865966797
nb_pixel_total : 8545
time to create 1 rle with old method : 0.012410402297973633
time for calcul the mask position with numpy : 0.0015494823455810547
nb_pixel_total : 8758
time to create 1 rle with old method : 0.00991511344909668
time for calcul the mask position with numpy : 0.0014350414276123047
nb_pixel_total : 969
time to create 1 rle with old method : 0.0011785030364990234
time for calcul the mask position with numpy : 0.001569509506225586
nb_pixel_total : 16731
time to create 1 rle with old method : 0.02307581901550293
time for calcul the mask position with numpy : 0.00151824951171875
nb_pixel_total : 1742
time to create 1 rle with old method : 0.0020875930786132812
time for calcul the mask position with numpy : 0.0014643669128417969
nb_pixel_total : 9090
time to create 1 rle with old method : 0.010326862335205078
time for calcul the mask position with numpy : 0.0013947486877441406
nb_pixel_total : 1513
time to create 1 rle with old method : 0.0018258094787597656
time for calcul the mask position with numpy : 0.001786947250366211
nb_pixel_total : 3167
time to create 1 rle with old method : 0.0059511661529541016
time for calcul the mask position with numpy : 0.0015010833740234375
nb_pixel_total : 1338
time to create 1 rle with old method : 0.00174713134765625
time for calcul the mask position with numpy : 0.001420736312866211
nb_pixel_total : 268
time to create 1 rle with old method : 0.0003612041473388672
time for calcul the mask position with numpy : 0.0017614364624023438
nb_pixel_total : 9495
time to create 1 rle with old method : 0.011582136154174805
time for calcul the mask position with numpy : 0.0014913082122802734
nb_pixel_total : 247
time to create 1 rle with old method : 0.00036334991455078125
time for calcul the mask position with numpy : 0.0013148784637451172
nb_pixel_total : 616
time to create 1 rle with old method : 0.0008268356323242188
time for calcul the mask position with numpy : 0.0015072822570800781
nb_pixel_total : 947
time to create 1 rle with old method : 0.0022737979888916016
time for calcul the mask position with numpy : 0.0017940998077392578
nb_pixel_total : 222
time to create 1 rle with old method : 0.0005168914794921875
time for calcul the mask position with numpy : 0.0017142295837402344
nb_pixel_total : 1502
time to create 1 rle with old method : 0.0018672943115234375
time for calcul the mask position with numpy : 0.0014071464538574219
nb_pixel_total : 735
time to create 1 rle with old method : 0.0010013580322265625
time for calcul the mask position with numpy : 0.0014600753784179688
nb_pixel_total : 5083
time to create 1 rle with old method : 0.00607752799987793
time for calcul the mask position with numpy : 0.0013713836669921875
nb_pixel_total : 1319
time to create 1 rle with old method : 0.001529693603515625
time for calcul the mask position with numpy : 0.001409769058227539
nb_pixel_total : 300
time to create 1 rle with old method : 0.0004673004150390625
time for calcul the mask position with numpy : 0.001497030258178711
nb_pixel_total : 7495
time to create 1 rle with old method : 0.00893092155456543
time for calcul the mask position with numpy : 0.0015454292297363281
nb_pixel_total : 596
time to create 1 rle with old method : 0.0007882118225097656
time for calcul the mask position with numpy : 0.0014603137969970703
nb_pixel_total : 1658
time to create 1 rle with old method : 0.0020520687103271484
time for calcul the mask position with numpy : 0.0014476776123046875
nb_pixel_total : 2200
time to create 1 rle with old method : 0.0027811527252197266
time for calcul the mask position with numpy : 0.0014386177062988281
nb_pixel_total : 965
time to create 1 rle with old method : 0.0012688636779785156
time for calcul the mask position with numpy : 0.0014393329620361328
nb_pixel_total : 888
time to create 1 rle with old method : 0.0010898113250732422
time for calcul the mask position with numpy : 0.0013039112091064453
nb_pixel_total : 1125
time to create 1 rle with old method : 0.001371145248413086
time for calcul the mask position with numpy : 0.0014238357543945312
nb_pixel_total : 885
time to create 1 rle with old method : 0.0010943412780761719
time for calcul the mask position with numpy : 0.0015363693237304688
nb_pixel_total : 11141
time to create 1 rle with old method : 0.012465715408325195
time for calcul the mask position with numpy : 0.001501321792602539
nb_pixel_total : 830
time to create 1 rle with old method : 0.0010950565338134766
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 95 chid ids of type : 4677
Number RLEs to save : 9150
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649456789', '464', '201', '4')
...
 last line : ('3649456883', '815', '44', '5')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : sam we use saveGeneral 
[1189321094]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 4573 list_pids : [1189321094]
Looping around the photos to save general results
len do output : 1
/1189321094Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f6180903880>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f61809038e0>
Managing all output in save final without adding information in the mtr_datou_result 
('4573', None, None, None, None, None, None, None, None)
('4573', None, '1189321094', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 3
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4573', None, '1189321094', 'None', None, None, None, None, None)]
time used for this insertion : 0.011893033981323242
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 9.70890760421753
time spend to save output : 0.012213468551635742
total time spend for step 1 : 9.721121072769165

caffe_path_current : 
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'1189321094': [[<mtr.simple_image_editor.image_utils.CHI object at 0x7f615c32bd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c32bdc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c32bd60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c32bd30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c32bc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c32bc70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c32bca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c3249a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c3248e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c3247c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c3246a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c3244c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c3243d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c3241f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c3240d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c324040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dfd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39df40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39df10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39de80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39de50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39de20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39ddf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dd60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dd30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dd00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dcd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dc10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dbe0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dbb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39db20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39daf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39dac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39da90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39da00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d9d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d6d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d5b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d4f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d4c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d3a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d2b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d1c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c39d040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c395fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c395f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c395f10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c395e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c395e50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f615c395dc0>], 'temp/1738463843_2241491_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png']}
nb_objects detect : 95

############################### TEST frcnn  ################################
test frcnn
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4184

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4184
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4184
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4184
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : frcnn
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (917754606) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 917754606
download finish for photo 917754606
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.12220573425292969
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:frcnn
Sun Feb  2 03:37:33 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738463853_2241491_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1738463853_2241491_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Faster rcnn !
classes : ['background', 'plaque']
pht : 4370
caffemodel_name (should be vgg16_immat_307 but not used because net loaded outside in the fonction) : {'id': 3375, 'mtr_user_id': 31, 'name': 'detection_plaque_valcor_010622', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,plaque', 'svm_portfolios_learning': '0,0', 'photo_hashtag_type': 4370, 'photo_desc_type': 5676, 'type_classification': 'caffe_faster_rcnn', 'hashtag_id_list': '0,0'}
To loadFromThcl()
model_param file didn't exist 
model_name : detection_plaque_valcor_010622
model_type : caffe_faster_rcnn
list file need :
['caffemodel', 'test.prototxt']
file exist in s3 :
['caffemodel', 'test.prototxt']
file manque in s3 : 
[]
local folder  : /data/models_weight/detection_plaque_valcor_010622


/data/models_weight/detection_plaque_valcor_010622/caffemodel
size_local : 349723073 size in s3 : 349723073
create time local : 2022-07-12 14:12:27 create time in s3 : 2022-06-01 15:05:56
caffemodel already exist and didn't need to update


/data/models_weight/detection_plaque_valcor_010622/test.prototxt
size_local : 7163 size in s3 : 7163
create time local : 2022-07-12 14:12:27 create time in s3 : 2022-06-01 15:05:55
test.prototxt already exist and didn't need to update
 prototxt : /data/models_weight/detection_plaque_valcor_010622/test.prototxt
 caffemodel : /data/models_weight/detection_plaque_valcor_010622/caffemodel


Loaded network /data/models_weight/detection_plaque_valcor_010622/caffemodel
About to compute detect_faster_rcnn : len(args) : 1
Inside frcnn step exec : nb paths : 1
image_path : temp/1738463853_2241491_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg
image_size (600, 800, 3)
[[[  4   6   6]
  [  5   7   7]
  [  6   8   8]
  ...
  [207 215 214]
  [206 214 213]
  [206 214 213]]

 [[  4   6   6]
  [  5   7   7]
  [  6   8   8]
  ...
  [207 215 214]
  [206 214 213]
  [206 214 213]]

 [[  4   6   6]
  [  5   7   7]
  [  6   8   8]
  ...
  [207 215 214]
  [206 214 213]
  [206 214 213]]

 ...

 [[ 14  16  16]
  [ 13  15  15]
  [ 11  13  13]
  ...
  [198 206 205]
  [198 206 205]
  [198 206 205]]

 [[ 16  18  18]
  [ 14  16  16]
  [ 11  13  13]
  ...
  [206 214 213]
  [206 214 213]
  [206 214 213]]

 [[ 13  15  15]
  [ 12  14  14]
  [  9  11  11]
  ...
  [210 218 217]
  [210 218 217]
  [210 218 217]]]
Detection took 0.070s for 300 object proposals
 c : plaque
 list_crops.shape (72, 5)
 proba :  0.06384153
(374.12726, 293.9194, 430.81024, 317.80978)
 proba :  0.05211938
(382.16507, 297.18152, 552.3616, 344.64874)
 proba :  0.012270495
(345.352, 272.42926, 468.84674, 320.72266)
We are managing local photo_id
len de result frcnn : 1

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 2.373248338699341
time spend to save output : 0.00014472007751464844
total time spend for step 1 : 2.3733930587768555

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
Inside saveFrcnn : final : True verbose : True
threshold to save the result : 0.1
output flattener :  [(0, 493029425, 4370, 374, 430, 293, 317, 0.06384153, None), (0, 493029425, 4370, 382, 552, 297, 344, 0.05211938, None), (0, 493029425, 4370, 345, 468, 272, 320, 0.012270495, None)]
Warning : no hashtag_ids to insert in the database
final : True


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4184', None, '917754606', '0', 0, '0', 493061979, '0', None)]
time used for this insertion : 0.012269973754882812
[917754606]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 4184 list_pids : [917754606]
Looping around the photos to save general results
len do output : 1
/0
before output type
Managing all output in save final without adding information in the mtr_datou_result 
('4184', None, None, None, None, None, None, None, None)
('4184', None, '917754606', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4184', None, '917754606', None, None, None, None, None, None)]
time used for this insertion : 0.01160573959350586
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {0: [[(0, 493029425, 4370, 374, 430, 293, 317, 0.06384153, None), (0, 493029425, 4370, 382, 552, 297, 344, 0.05211938, None), (0, 493029425, 4370, 345, 468, 272, 320, 0.012270495, None)], 'temp/1738463853_2241491_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg']}

############################### TEST thcl  ################################
TEST THCL
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 1 thcl is not linked in the step_by_step architecture !
WARNING : step 2 argmax is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : thcl, argmax
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (916235064) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 916235064
download finish for photo 916235064
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.0764312744140625
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:thcl
Sun Feb  2 03:37:35 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738463855_2241491_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg': 916235064}
map_photo_id_path_extension : {916235064: {'path': 'temp/1738463855_2241491_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Thcl !
multi_thcl or not :False
multi_thcl_cond or not :False
dic_thcl :  {'355': 1}
we are using the classfication for only one thcl
355


In convert_file_to_np l 337 : 1
 l343 1
l357 after caffe.io.load_image
dimension du image : (3, (66, 66, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.005766153335571289
time to convert the images to numpy array :  0.0013816356658935547
total time to convert the images to numpy array :  0.007829427719116211
list photo_ids error:
[]
list photo_ids correct :
[916235064]
number of photos to traite : 1
try to delete the photos incorrect in DB

tagging for thcl : 355
To do loadFromThcl(), then load ParamDescType : thcl355
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (355) 
 thcls : [{'id': 355, 'mtr_user_id': 31, 'name': 'car_360_1027', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'c_elysee_1027_gao__port_506302,mokka_1027_gao__port_506374,captur_1027_gao__port_506399,sorento_1027_gao__port_506192,navara_1027_gao__port_506205,xc90_1027_gao__port_506350,saxo_1027_gao__port_506052,trafic_1027_gao__port_506295,punto_evo_1027_gao__port_506066,5_1027_gao__port_506117,250_1027_gao__port_506065,d_max_1027_gao__port_506125,panamera_1027_gao__port_506387,alhambra_1027_gao__port_506381,x6_1027_gao__port_506349,vitara_1027_gao__port_506328,fiesta_1027_gao__port_506377,qashqai_1027_gao__port_506286,147_1027_gao__port_506124,c5_1027_gao__port_506172,q5_1027_gao__port_506206,giulia_1027_gao__port_506178,karl_1027_gao__port_506371,mehari_1027_gao__port_506076,911_1027_gao__port_506114,508_1027_gao__port_506329,idea_1027_gao__port_506122,megane_1027_gao__port_506220,ghibli_1027_gao__port_506174,touareg_1027_gao__port_506224,i10_1027_gao__port_506232,jumper_1027_gao__port_506234,classe_clk_1027_gao__port_506173,kuga_1027_gao__port_506181,ct_1027_gao__port_506323,leon_1027_gao__port_506326,ds5_1027_gao__port_506376,cordoba_1027_gao__port_506048,classe_cla_1027_gao__port_506400,jumpy_1027_gao__port_506179,avensis_1027_gao__port_506311,juke_1027_gao__port_506325,4008_1027_gao__port_506402,190_series_1027_gao__port_506051,serie_3_1027_gao__port_506294,q7_1027_gao__port_506318,glc_1027_gao__port_506303,grand_vitara_1027_gao__port_506175,s40_1027_gao__port_506099,toledo_1027_gao__port_506061,5008_1027_gao__port_506337,continental_1027_gao__port_506250,coupe_1027_gao__port_506082,iq_1027_gao__port_506166,407_1027_gao__port_506133,touran_1027_gao__port_506308,300c_1027_gao__port_506078,classe_gl_1027_gao__port_506340,vivaro_1027_gao__port_506310,sl_1027_gao__port_506100,elise_1027_gao__port_506121,1007_1027_gao__port_506070,i40_1027_gao__port_506218,bipper_tepee_1027_gao__port_506227,focus_1027_gao__port_506272,primera_1027_gao__port_506147,r4_1027_gao__port_506160,a8_1027_gao__port_506265,boxer_1027_gao__port_506202,s5_1027_gao__port_506222,r21_1027_gao__port_506093,c3_1027_gao__port_506257,santa_fe_1027_gao__port_506208,m4_1027_gao__port_506344,safrane_1027_gao__port_506077,classe_gle_1027_gao__port_506395,0_1027_gao__port_506094,ix35_1027_gao__port_506219,carens_1027_gao__port_506298,classe_a_1027_gao__port_506339,ix20_1027_gao__port_506343,note_1027_gao__port_506365,a5_1027_gao__port_506200,sx4_1027_gao__port_506348,sandero_1027_gao__port_506198,3008_1027_gao__port_506385,q50_1027_gao__port_506239,latitude_1027_gao__port_506236,v40_1027_gao__port_506391,xsara_1027_gao__port_506087,grand_c_max_1027_gao__port_506342,swift_1027_gao__port_506149,serie_1_1027_gao__port_506184,xc70_1027_gao__port_506393,master_1027_gao__port_506203,clio_1027_gao__port_506280,duster_1027_gao__port_506216,traveller_1027_gao__port_506403,tipo_1027_gao__port_506355,rav_4_1027_gao__port_506332,coccinelle_1027_gao__port_506259,spacetourer_1027_gao__port_506401,xe_1027_gao__port_506357,ds3_1027_gao__port_506324,mx_5_1027_gao__port_506098,land_cruiser_1027_gao__port_506315,classe_b_1027_gao__port_506335,806_1027_gao__port_506088,rx_8_1027_gao__port_506046,spark_1027_gao__port_506185,6_1027_gao__port_506171,bravo_1027_gao__port_506080,nx_1027_gao__port_506345,sharan_1027_gao__port_506347,x_type_1027_gao__port_506067,jimny_1027_gao__port_506233,wrangler_1027_gao__port_506225,c_crosser_1027_gao__port_506312,v70_1027_gao__port_506278,classe_e_1027_gao__port_506300,classe_v_1027_gao__port_506258,m3_1027_gao__port_506182,abarth_500_1027_gao__port_506226,serie_6_1027_gao__port_506262,modus_1027_gao__port_506146,3_1027_gao__port_506113,405_1027_gao__port_506108,allroad_1027_gao__port_506297,auris_1027_gao__port_506322,galaxy_1027_gao__port_506143,giulietta_1027_gao__port_506363,106_1027_gao__port_506073,classe_m_1027_gao__port_506154,espace_1027_gao__port_506313,panda_1027_gao__port_506189,rcz_1027_gao__port_506197,4007_1027_gao__port_506162,classe_cl_1027_gao__port_506249,leaf_1027_gao__port_506139,octavia_1027_gao__port_506237,ds4_1027_gao__port_506336,freelander_1027_gao__port_506084,evasion_1027_gao__port_506109,punto_1027_gao__port_506106,2cv_1027_gao__port_506045,x4_1027_gao__port_506392,antara_1027_gao__port_506247,murano_1027_gao__port_506316,alto_1027_gao__port_506201,meriva_1027_gao__port_506353,orlando_1027_gao__port_506305,new_beetle_1027_gao__port_506050,306_1027_gao__port_506145,tiguan_1027_gao__port_506362,s_type_1027_gao__port_506101,c1_1027_gao__port_506128,vectra_1027_gao__port_506044,outlander_1027_gao__port_506317,307_1027_gao__port_506074,a6_s6_1027_gao__port_506134,nemo_combi_1027_gao__port_506196,berlingo_1027_gao__port_506194,partner_1027_gao__port_506285,cayenne_1027_gao__port_506177,quattroporte_1027_gao__port_506240,c_max_1027_gao__port_506282,fabia_1027_gao__port_506396,cx_3_1027_gao__port_506281,x_trail_1027_gao__port_506264,scirocco_1027_gao__port_506276,matiz_1027_gao__port_506144,tigra_1027_gao__port_506069,escort_1027_gao__port_506091,c2_1027_gao__port_506081,mini_1027_gao__port_506168,i30_1027_gao__port_506291,picanto_1027_gao__port_506238,mito_1027_gao__port_506072,impreza_1027_gao__port_506085,kangoo_1027_gao__port_506235,a4_1027_gao__port_506193,cayman_1027_gao__port_506268,sportage_1027_gao__port_506148,up_1027_gao__port_506356,optima_1027_gao__port_506386,defender_1027_gao__port_506229,serie_2_1027_gao__port_506256,edge_1027_gao__port_506187,r19_1027_gao__port_506110,jetta_1027_gao__port_506304,eos_1027_gao__port_506115,accord_1027_gao__port_506214,yaris_1027_gao__port_506334,classe_cls_1027_gao__port_506289,polo_1027_gao__port_506361,serie_4_1027_gao__port_506366,mini_cabriolet_1027_gao__port_506204,prius_1027_gao__port_506190,lodgy_1027_gao__port_506188,serie_7_1027_gao__port_506307,c15_1027_gao__port_506055,kadjar_1027_gao__port_506389,insignia_1027_gao__port_506364,308_1027_gao__port_506279,roomster_1027_gao__port_506241,80_1027_gao__port_506057,309_1027_gao__port_506063,tucson_1027_gao__port_506320,x3_1027_gao__port_506212,xf_1027_gao__port_506263,2008_1027_gao__port_506394,passat_1027_gao__port_506306,compass_1027_gao__port_506260,twingo_1027_gao__port_506309,micra_1027_gao__port_506221,golf_1027_gao__port_506155,soul_1027_gao__port_506176,rapid_1027_gao__port_506398,forester_1027_gao__port_506360,slk_1027_gao__port_506210,forfour_1027_gao__port_506341,serie_5_1027_gao__port_506209,xj_1027_gao__port_506170,pajero_1027_gao__port_506097,agila_1027_gao__port_506119,a6_1027_gao__port_506163,fox_1027_gao__port_506092,boxster_1027_gao__port_506267,altea_1027_gao__port_506246,samurai_1027_gao__port_506047,trax_1027_gao__port_506296,getz_1027_gao__port_506058,cherokee_1027_gao__port_506269,koleos_1027_gao__port_506378,z_series_1027_gao__port_506123,ecosport_1027_gao__port_506271,space_star_1027_gao__port_506277,rs3_sportback_1027_gao__port_506207,civic_1027_gao__port_506141,talisman_1027_gao__port_506390,f_pace_1027_gao__port_506314,classe_c_1027_gao__port_506299,tt_1027_gao__port_506075,pathfinder_1027_gao__port_506183,156_1027_gao__port_506157,cx_5_1027_gao__port_506228,scenic_1027_gao__port_506255,yeti_1027_gao__port_506358,mustang_1027_gao__port_506053,stilo_1027_gao__port_506060,ateca_1027_gao__port_506382,fiorino_1027_gao__port_506217,classe_glk_1027_gao__port_506290,fortwo_1027_gao__port_506230,cruze_1027_gao__port_506186,107_1027_gao__port_506213,aygo_1027_gao__port_506248,rx_1027_gao__port_506354,500_1027_gao__port_506245,bora_1027_gao__port_506104,transit_1027_gao__port_506111,pt_cruiser_1027_gao__port_506054,patrol_1027_gao__port_506068,r8_1027_gao__port_506156,xm_1027_gao__port_506102,s60_1027_gao__port_506191,aveo_1027_gao__port_506158,captiva_1027_gao__port_506159,ax_1027_gao__port_506153,rexton_1027_gao__port_506107,camaro_1027_gao__port_506056,ypsilon_1027_gao__port_506131,delta_1027_gao__port_506165,c4_1027_gao__port_506370,zx_1027_gao__port_506161,verso_1027_gao__port_506242,superb_1027_gao__port_506327,r5_1027_gao__port_506253,caddy_1027_gao__port_506330,x5_1027_gao__port_506243,f_type_1027_gao__port_506231,fusion_1027_gao__port_506096,dokker_1027_gao__port_506331,205_1027_gao__port_506062,macan_1027_gao__port_506195,tourneo_1027_gao__port_506369,108_1027_gao__port_506384,9_3_1027_gao__port_506071,mondeo_1027_gao__port_506116,cr_v_1027_gao__port_506164,c30_1027_gao__port_506090,pulsar_1027_gao__port_506397,ibiza_1027_gao__port_506273,a1_1027_gao__port_506338,matrix_1027_gao__port_506140,carnival_1027_gao__port_506136,xantia_1027_gao__port_506086,terrano_1027_gao__port_506083,q3_1027_gao__port_506275,hr_v_1027_gao__port_506283,expert_1027_gao__port_506142,multivan_1027_gao__port_506383,venga_1027_gao__port_506380,scudo_1027_gao__port_506129,laguna_1027_gao__port_506368,vel_satis_1027_gao__port_506130,b_max_1027_gao__port_506367,ignis_1027_gao__port_506292,159_1027_gao__port_506064,grande_punto_1027_gao__port_506138,logan_1027_gao__port_506167,s_max_1027_gao__port_506223,caravelle_1027_gao__port_506351,adam_1027_gao__port_506079,406_1027_gao__port_506132,q30_1027_gao__port_506293,almera_1027_gao__port_506089,corsa_1027_gao__port_506095,corolla_1027_gao__port_506120,xc60_1027_gao__port_506388,viano_1027_gao__port_506211,pro_cee_d_1027_gao__port_506274,a3_1027_gao__port_506321,v50_1027_gao__port_506150,voyager_1027_gao__port_506169,corvette_1027_gao__port_506049,rio_1027_gao__port_506379,jazz_1027_gao__port_506252,200_1027_gao__port_506112,tts_1027_gao__port_506199,zafira_1027_gao__port_506287,asx_1027_gao__port_506266,607_1027_gao__port_506118,207_1027_gao__port_506103,classe_s_1027_gao__port_506301,c6_1027_gao__port_506105,express_1027_gao__port_506137,classe_gla_1027_gao__port_506352,v60_1027_gao__port_506333,ka_1027_gao__port_506180,range_rover_1027_gao__port_506254,discovery_1027_gao__port_506375,classe_r_1027_gao__port_506270,transporter_1027_gao__port_506319,cee_d_1027_gao__port_506288,zoe_1027_gao__port_506244,i20_1027_gao__port_506284,gtv_1027_gao__port_506059,s4_avant_1027_gao__port_506261,x1_1027_gao__port_506372,autres_1027_gao__port_506127,208_1027_gao__port_506359,c8_1027_gao__port_506135,astra_1027_gao__port_506215,2_1027_gao__port_506151,doblo_1027_gao__port_506251,807_1027_gao__port_506152,206_1027_gao__port_506126,a7_1027_gao__port_506373,renegade_1027_gao__port_506346', 'svm_portfolios_learning': '506302,506374,506399,506192,506205,506350,506052,506295,506066,506117,506065,506125,506387,506381,506349,506328,506377,506286,506124,506172,506206,506178,506371,506076,506114,506329,506122,506220,506174,506224,506232,506234,506173,506181,506323,506326,506376,506048,506400,506179,506311,506325,506402,506051,506294,506318,506303,506175,506099,506061,506337,506250,506082,506166,506133,506308,506078,506340,506310,506100,506121,506070,506218,506227,506272,506147,506160,506265,506202,506222,506093,506257,506208,506344,506077,506395,506094,506219,506298,506339,506343,506365,506200,506348,506198,506385,506239,506236,506391,506087,506342,506149,506184,506393,506203,506280,506216,506403,506355,506332,506259,506401,506357,506324,506098,506315,506335,506088,506046,506185,506171,506080,506345,506347,506067,506233,506225,506312,506278,506300,506258,506182,506226,506262,506146,506113,506108,506297,506322,506143,506363,506073,506154,506313,506189,506197,506162,506249,506139,506237,506336,506084,506109,506106,506045,506392,506247,506316,506201,506353,506305,506050,506145,506362,506101,506128,506044,506317,506074,506134,506196,506194,506285,506177,506240,506282,506396,506281,506264,506276,506144,506069,506091,506081,506168,506291,506238,506072,506085,506235,506193,506268,506148,506356,506386,506229,506256,506187,506110,506304,506115,506214,506334,506289,506361,506366,506204,506190,506188,506307,506055,506389,506364,506279,506241,506057,506063,506320,506212,506263,506394,506306,506260,506309,506221,506155,506176,506398,506360,506210,506341,506209,506170,506097,506119,506163,506092,506267,506246,506047,506296,506058,506269,506378,506123,506271,506277,506207,506141,506390,506314,506299,506075,506183,506157,506228,506255,506358,506053,506060,506382,506217,506290,506230,506186,506213,506248,506354,506245,506104,506111,506054,506068,506156,506102,506191,506158,506159,506153,506107,506056,506131,506165,506370,506161,506242,506327,506253,506330,506243,506231,506096,506331,506062,506195,506369,506384,506071,506116,506164,506090,506397,506273,506338,506140,506136,506086,506083,506275,506283,506142,506383,506380,506129,506368,506130,506367,506292,506064,506138,506167,506223,506351,506079,506132,506293,506089,506095,506120,506388,506211,506274,506321,506150,506169,506049,506379,506252,506112,506199,506287,506266,506118,506103,506301,506105,506137,506352,506333,506180,506254,506375,506270,506319,506288,506244,506284,506059,506261,506372,506127,506359,506135,506215,506151,506251,506152,506126,506373,506346', 'photo_hashtag_type': 332, 'photo_desc_type': 3390, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 355, 'mtr_user_id': 31, 'name': 'car_360_1027', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'c_elysee_1027_gao__port_506302,mokka_1027_gao__port_506374,captur_1027_gao__port_506399,sorento_1027_gao__port_506192,navara_1027_gao__port_506205,xc90_1027_gao__port_506350,saxo_1027_gao__port_506052,trafic_1027_gao__port_506295,punto_evo_1027_gao__port_506066,5_1027_gao__port_506117,250_1027_gao__port_506065,d_max_1027_gao__port_506125,panamera_1027_gao__port_506387,alhambra_1027_gao__port_506381,x6_1027_gao__port_506349,vitara_1027_gao__port_506328,fiesta_1027_gao__port_506377,qashqai_1027_gao__port_506286,147_1027_gao__port_506124,c5_1027_gao__port_506172,q5_1027_gao__port_506206,giulia_1027_gao__port_506178,karl_1027_gao__port_506371,mehari_1027_gao__port_506076,911_1027_gao__port_506114,508_1027_gao__port_506329,idea_1027_gao__port_506122,megane_1027_gao__port_506220,ghibli_1027_gao__port_506174,touareg_1027_gao__port_506224,i10_1027_gao__port_506232,jumper_1027_gao__port_506234,classe_clk_1027_gao__port_506173,kuga_1027_gao__port_506181,ct_1027_gao__port_506323,leon_1027_gao__port_506326,ds5_1027_gao__port_506376,cordoba_1027_gao__port_506048,classe_cla_1027_gao__port_506400,jumpy_1027_gao__port_506179,avensis_1027_gao__port_506311,juke_1027_gao__port_506325,4008_1027_gao__port_506402,190_series_1027_gao__port_506051,serie_3_1027_gao__port_506294,q7_1027_gao__port_506318,glc_1027_gao__port_506303,grand_vitara_1027_gao__port_506175,s40_1027_gao__port_506099,toledo_1027_gao__port_506061,5008_1027_gao__port_506337,continental_1027_gao__port_506250,coupe_1027_gao__port_506082,iq_1027_gao__port_506166,407_1027_gao__port_506133,touran_1027_gao__port_506308,300c_1027_gao__port_506078,classe_gl_1027_gao__port_506340,vivaro_1027_gao__port_506310,sl_1027_gao__port_506100,elise_1027_gao__port_506121,1007_1027_gao__port_506070,i40_1027_gao__port_506218,bipper_tepee_1027_gao__port_506227,focus_1027_gao__port_506272,primera_1027_gao__port_506147,r4_1027_gao__port_506160,a8_1027_gao__port_506265,boxer_1027_gao__port_506202,s5_1027_gao__port_506222,r21_1027_gao__port_506093,c3_1027_gao__port_506257,santa_fe_1027_gao__port_506208,m4_1027_gao__port_506344,safrane_1027_gao__port_506077,classe_gle_1027_gao__port_506395,0_1027_gao__port_506094,ix35_1027_gao__port_506219,carens_1027_gao__port_506298,classe_a_1027_gao__port_506339,ix20_1027_gao__port_506343,note_1027_gao__port_506365,a5_1027_gao__port_506200,sx4_1027_gao__port_506348,sandero_1027_gao__port_506198,3008_1027_gao__port_506385,q50_1027_gao__port_506239,latitude_1027_gao__port_506236,v40_1027_gao__port_506391,xsara_1027_gao__port_506087,grand_c_max_1027_gao__port_506342,swift_1027_gao__port_506149,serie_1_1027_gao__port_506184,xc70_1027_gao__port_506393,master_1027_gao__port_506203,clio_1027_gao__port_506280,duster_1027_gao__port_506216,traveller_1027_gao__port_506403,tipo_1027_gao__port_506355,rav_4_1027_gao__port_506332,coccinelle_1027_gao__port_506259,spacetourer_1027_gao__port_506401,xe_1027_gao__port_506357,ds3_1027_gao__port_506324,mx_5_1027_gao__port_506098,land_cruiser_1027_gao__port_506315,classe_b_1027_gao__port_506335,806_1027_gao__port_506088,rx_8_1027_gao__port_506046,spark_1027_gao__port_506185,6_1027_gao__port_506171,bravo_1027_gao__port_506080,nx_1027_gao__port_506345,sharan_1027_gao__port_506347,x_type_1027_gao__port_506067,jimny_1027_gao__port_506233,wrangler_1027_gao__port_506225,c_crosser_1027_gao__port_506312,v70_1027_gao__port_506278,classe_e_1027_gao__port_506300,classe_v_1027_gao__port_506258,m3_1027_gao__port_506182,abarth_500_1027_gao__port_506226,serie_6_1027_gao__port_506262,modus_1027_gao__port_506146,3_1027_gao__port_506113,405_1027_gao__port_506108,allroad_1027_gao__port_506297,auris_1027_gao__port_506322,galaxy_1027_gao__port_506143,giulietta_1027_gao__port_506363,106_1027_gao__port_506073,classe_m_1027_gao__port_506154,espace_1027_gao__port_506313,panda_1027_gao__port_506189,rcz_1027_gao__port_506197,4007_1027_gao__port_506162,classe_cl_1027_gao__port_506249,leaf_1027_gao__port_506139,octavia_1027_gao__port_506237,ds4_1027_gao__port_506336,freelander_1027_gao__port_506084,evasion_1027_gao__port_506109,punto_1027_gao__port_506106,2cv_1027_gao__port_506045,x4_1027_gao__port_506392,antara_1027_gao__port_506247,murano_1027_gao__port_506316,alto_1027_gao__port_506201,meriva_1027_gao__port_506353,orlando_1027_gao__port_506305,new_beetle_1027_gao__port_506050,306_1027_gao__port_506145,tiguan_1027_gao__port_506362,s_type_1027_gao__port_506101,c1_1027_gao__port_506128,vectra_1027_gao__port_506044,outlander_1027_gao__port_506317,307_1027_gao__port_506074,a6_s6_1027_gao__port_506134,nemo_combi_1027_gao__port_506196,berlingo_1027_gao__port_506194,partner_1027_gao__port_506285,cayenne_1027_gao__port_506177,quattroporte_1027_gao__port_506240,c_max_1027_gao__port_506282,fabia_1027_gao__port_506396,cx_3_1027_gao__port_506281,x_trail_1027_gao__port_506264,scirocco_1027_gao__port_506276,matiz_1027_gao__port_506144,tigra_1027_gao__port_506069,escort_1027_gao__port_506091,c2_1027_gao__port_506081,mini_1027_gao__port_506168,i30_1027_gao__port_506291,picanto_1027_gao__port_506238,mito_1027_gao__port_506072,impreza_1027_gao__port_506085,kangoo_1027_gao__port_506235,a4_1027_gao__port_506193,cayman_1027_gao__port_506268,sportage_1027_gao__port_506148,up_1027_gao__port_506356,optima_1027_gao__port_506386,defender_1027_gao__port_506229,serie_2_1027_gao__port_506256,edge_1027_gao__port_506187,r19_1027_gao__port_506110,jetta_1027_gao__port_506304,eos_1027_gao__port_506115,accord_1027_gao__port_506214,yaris_1027_gao__port_506334,classe_cls_1027_gao__port_506289,polo_1027_gao__port_506361,serie_4_1027_gao__port_506366,mini_cabriolet_1027_gao__port_506204,prius_1027_gao__port_506190,lodgy_1027_gao__port_506188,serie_7_1027_gao__port_506307,c15_1027_gao__port_506055,kadjar_1027_gao__port_506389,insignia_1027_gao__port_506364,308_1027_gao__port_506279,roomster_1027_gao__port_506241,80_1027_gao__port_506057,309_1027_gao__port_506063,tucson_1027_gao__port_506320,x3_1027_gao__port_506212,xf_1027_gao__port_506263,2008_1027_gao__port_506394,passat_1027_gao__port_506306,compass_1027_gao__port_506260,twingo_1027_gao__port_506309,micra_1027_gao__port_506221,golf_1027_gao__port_506155,soul_1027_gao__port_506176,rapid_1027_gao__port_506398,forester_1027_gao__port_506360,slk_1027_gao__port_506210,forfour_1027_gao__port_506341,serie_5_1027_gao__port_506209,xj_1027_gao__port_506170,pajero_1027_gao__port_506097,agila_1027_gao__port_506119,a6_1027_gao__port_506163,fox_1027_gao__port_506092,boxster_1027_gao__port_506267,altea_1027_gao__port_506246,samurai_1027_gao__port_506047,trax_1027_gao__port_506296,getz_1027_gao__port_506058,cherokee_1027_gao__port_506269,koleos_1027_gao__port_506378,z_series_1027_gao__port_506123,ecosport_1027_gao__port_506271,space_star_1027_gao__port_506277,rs3_sportback_1027_gao__port_506207,civic_1027_gao__port_506141,talisman_1027_gao__port_506390,f_pace_1027_gao__port_506314,classe_c_1027_gao__port_506299,tt_1027_gao__port_506075,pathfinder_1027_gao__port_506183,156_1027_gao__port_506157,cx_5_1027_gao__port_506228,scenic_1027_gao__port_506255,yeti_1027_gao__port_506358,mustang_1027_gao__port_506053,stilo_1027_gao__port_506060,ateca_1027_gao__port_506382,fiorino_1027_gao__port_506217,classe_glk_1027_gao__port_506290,fortwo_1027_gao__port_506230,cruze_1027_gao__port_506186,107_1027_gao__port_506213,aygo_1027_gao__port_506248,rx_1027_gao__port_506354,500_1027_gao__port_506245,bora_1027_gao__port_506104,transit_1027_gao__port_506111,pt_cruiser_1027_gao__port_506054,patrol_1027_gao__port_506068,r8_1027_gao__port_506156,xm_1027_gao__port_506102,s60_1027_gao__port_506191,aveo_1027_gao__port_506158,captiva_1027_gao__port_506159,ax_1027_gao__port_506153,rexton_1027_gao__port_506107,camaro_1027_gao__port_506056,ypsilon_1027_gao__port_506131,delta_1027_gao__port_506165,c4_1027_gao__port_506370,zx_1027_gao__port_506161,verso_1027_gao__port_506242,superb_1027_gao__port_506327,r5_1027_gao__port_506253,caddy_1027_gao__port_506330,x5_1027_gao__port_506243,f_type_1027_gao__port_506231,fusion_1027_gao__port_506096,dokker_1027_gao__port_506331,205_1027_gao__port_506062,macan_1027_gao__port_506195,tourneo_1027_gao__port_506369,108_1027_gao__port_506384,9_3_1027_gao__port_506071,mondeo_1027_gao__port_506116,cr_v_1027_gao__port_506164,c30_1027_gao__port_506090,pulsar_1027_gao__port_506397,ibiza_1027_gao__port_506273,a1_1027_gao__port_506338,matrix_1027_gao__port_506140,carnival_1027_gao__port_506136,xantia_1027_gao__port_506086,terrano_1027_gao__port_506083,q3_1027_gao__port_506275,hr_v_1027_gao__port_506283,expert_1027_gao__port_506142,multivan_1027_gao__port_506383,venga_1027_gao__port_506380,scudo_1027_gao__port_506129,laguna_1027_gao__port_506368,vel_satis_1027_gao__port_506130,b_max_1027_gao__port_506367,ignis_1027_gao__port_506292,159_1027_gao__port_506064,grande_punto_1027_gao__port_506138,logan_1027_gao__port_506167,s_max_1027_gao__port_506223,caravelle_1027_gao__port_506351,adam_1027_gao__port_506079,406_1027_gao__port_506132,q30_1027_gao__port_506293,almera_1027_gao__port_506089,corsa_1027_gao__port_506095,corolla_1027_gao__port_506120,xc60_1027_gao__port_506388,viano_1027_gao__port_506211,pro_cee_d_1027_gao__port_506274,a3_1027_gao__port_506321,v50_1027_gao__port_506150,voyager_1027_gao__port_506169,corvette_1027_gao__port_506049,rio_1027_gao__port_506379,jazz_1027_gao__port_506252,200_1027_gao__port_506112,tts_1027_gao__port_506199,zafira_1027_gao__port_506287,asx_1027_gao__port_506266,607_1027_gao__port_506118,207_1027_gao__port_506103,classe_s_1027_gao__port_506301,c6_1027_gao__port_506105,express_1027_gao__port_506137,classe_gla_1027_gao__port_506352,v60_1027_gao__port_506333,ka_1027_gao__port_506180,range_rover_1027_gao__port_506254,discovery_1027_gao__port_506375,classe_r_1027_gao__port_506270,transporter_1027_gao__port_506319,cee_d_1027_gao__port_506288,zoe_1027_gao__port_506244,i20_1027_gao__port_506284,gtv_1027_gao__port_506059,s4_avant_1027_gao__port_506261,x1_1027_gao__port_506372,autres_1027_gao__port_506127,208_1027_gao__port_506359,c8_1027_gao__port_506135,astra_1027_gao__port_506215,2_1027_gao__port_506151,doblo_1027_gao__port_506251,807_1027_gao__port_506152,206_1027_gao__port_506126,a7_1027_gao__port_506373,renegade_1027_gao__port_506346', 'svm_portfolios_learning': '506302,506374,506399,506192,506205,506350,506052,506295,506066,506117,506065,506125,506387,506381,506349,506328,506377,506286,506124,506172,506206,506178,506371,506076,506114,506329,506122,506220,506174,506224,506232,506234,506173,506181,506323,506326,506376,506048,506400,506179,506311,506325,506402,506051,506294,506318,506303,506175,506099,506061,506337,506250,506082,506166,506133,506308,506078,506340,506310,506100,506121,506070,506218,506227,506272,506147,506160,506265,506202,506222,506093,506257,506208,506344,506077,506395,506094,506219,506298,506339,506343,506365,506200,506348,506198,506385,506239,506236,506391,506087,506342,506149,506184,506393,506203,506280,506216,506403,506355,506332,506259,506401,506357,506324,506098,506315,506335,506088,506046,506185,506171,506080,506345,506347,506067,506233,506225,506312,506278,506300,506258,506182,506226,506262,506146,506113,506108,506297,506322,506143,506363,506073,506154,506313,506189,506197,506162,506249,506139,506237,506336,506084,506109,506106,506045,506392,506247,506316,506201,506353,506305,506050,506145,506362,506101,506128,506044,506317,506074,506134,506196,506194,506285,506177,506240,506282,506396,506281,506264,506276,506144,506069,506091,506081,506168,506291,506238,506072,506085,506235,506193,506268,506148,506356,506386,506229,506256,506187,506110,506304,506115,506214,506334,506289,506361,506366,506204,506190,506188,506307,506055,506389,506364,506279,506241,506057,506063,506320,506212,506263,506394,506306,506260,506309,506221,506155,506176,506398,506360,506210,506341,506209,506170,506097,506119,506163,506092,506267,506246,506047,506296,506058,506269,506378,506123,506271,506277,506207,506141,506390,506314,506299,506075,506183,506157,506228,506255,506358,506053,506060,506382,506217,506290,506230,506186,506213,506248,506354,506245,506104,506111,506054,506068,506156,506102,506191,506158,506159,506153,506107,506056,506131,506165,506370,506161,506242,506327,506253,506330,506243,506231,506096,506331,506062,506195,506369,506384,506071,506116,506164,506090,506397,506273,506338,506140,506136,506086,506083,506275,506283,506142,506383,506380,506129,506368,506130,506367,506292,506064,506138,506167,506223,506351,506079,506132,506293,506089,506095,506120,506388,506211,506274,506321,506150,506169,506049,506379,506252,506112,506199,506287,506266,506118,506103,506301,506105,506137,506352,506333,506180,506254,506375,506270,506319,506288,506244,506284,506059,506261,506372,506127,506359,506135,506215,506151,506251,506152,506126,506373,506346', 'photo_hashtag_type': 332, 'photo_desc_type': 3390, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3390
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (3390)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3390, 'car_360_1027', 16384, 25088, 'car_360_1027', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2017, 10, 28, 12, 29, 27), datetime.datetime(2017, 10, 28, 12, 29, 27))
To loadFromThcl() : net_3390
begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 6456  max_wait_temp :  1 max_wait :  0
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (3390)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3390, 'car_360_1027', 16384, 25088, 'car_360_1027', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2017, 10, 28, 12, 29, 27), datetime.datetime(2017, 10, 28, 12, 29, 27))
 param : <mtr.database_queries.descriptor_queries.ParamDescriptorType object at 0x7f5f16ec1e50>, param.caffemodel : car_360_1027
None
 mean_file_type : 
 mean_file_path : 
 prototxt_file_path : 
 model : car_360_1027
 Inside get_net  
 Inside get_net before cache_data_model 
model_param file didn't exist 
 Inside get_net before  CDM.load_model_par_type  
model_name : car_360_1027
model_type : caffe
list file need :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file exist in s3 :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file manque in s3 : 
[]
local folder  : /data/models_weight/car_360_1027


/data/models_weight/car_360_1027/caffemodel
size_local : 542944640 size in s3 : 542944640
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43
caffemodel already exist and didn't need to update


/data/models_weight/car_360_1027/deploy_conv_normal.prototxt
size_local : 4626 size in s3 : 4626
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:42
deploy_conv_normal.prototxt already exist and didn't need to update


/data/models_weight/car_360_1027/deploy_fc.prototxt
size_local : 1132 size in s3 : 1132
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43
deploy_fc.prototxt already exist and didn't need to update


/data/models_weight/car_360_1027/deploy.prototxt
size_local : 5654 size in s3 : 5654
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:42
deploy.prototxt already exist and didn't need to update


/data/models_weight/car_360_1027/mean.npy
size_local : 1572944 size in s3 : 1572944
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:55
mean.npy already exist and didn't need to update


/data/models_weight/car_360_1027/synset_words.txt
size_local : 13687 size in s3 : 13687
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43
synset_words.txt already exist and didn't need to update
 Inside get_net after CDM.load_model_par_type  
  After if not only_with_local_cache:
/home/admin/workarea/install/caffe_cuda8_python3/python/:/home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/
Here before set mode gpu
Doing nothing but we could set mode gpu
after set mode gpu
 prototxt_filename : /data/models_weight/car_360_1027/deploy.prototxt
 caffemodel_filename : /data/models_weight/car_360_1027/caffemodel
now we set caffe to gpu mode


 before predict
begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 6456  max_wait_temp :  1 max_wait :  0
dict_keys(['prob', 'pool5'])
time used to do the prepocess of the images : 0.009871721267700195
time used to do the prediction : 0.06292843818664551


save descriptor for thcl : 355
(1, 512, 7, 7)
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
code_as_byte_string:b'0000000000'|
time to traite the descriptors :  0.05142617225646973
Testing : ['916235064']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (916235064) 
Catched exception !
Connect or reconnect !
result : {916235064: {'photo_id': 916235064, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/10/14/6293d1bb790dc6902450e7c572b7d10b.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': None}}
list_photo_exists : [916235064]
storage_type for insertDescriptorsMulti : 1
To insert : 916235064
time to insert the descriptors : 0.613508939743042






After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : False verbose : True
time used to find the portfolios of the photos
select button_legend_list from MTRDatou.classification_theme where id = 355

 SAVE THCL, output : {'916235064': [[('916235064', 'c_elysee_1027_gao__port_506302', 0.0018815555, 332, '355'), ('916235064', 'mokka_1027_gao__port_506374', 0.0011634174, 332, '355'), ('916235064', 'captur_1027_gao__port_506399', 0.00081584527, 332, '355'), ('916235064', 'sorento_1027_gao__port_506192', 0.001177311, 332, '355'), ('916235064', 'navara_1027_gao__port_506205', 0.0025850255, 332, '355'), ('916235064', 'xc90_1027_gao__port_506350', 0.00417038, 332, '355'), ('916235064', 'saxo_1027_gao__port_506052', 0.003481044, 332, '355'), ('916235064', 'trafic_1027_gao__port_506295', 0.0073669306, 332, '355'), ('916235064', 'punto_evo_1027_gao__port_506066', 0.0021889666, 332, '355'), ('916235064', '5_1027_gao__port_506117', 0.0005797851, 332, '355'), ('916235064', '250_1027_gao__port_506065', 0.00459147, 332, '355'), ('916235064', 'd_max_1027_gao__port_506125', 0.0031588082, 332, '355'), ('916235064', 'panamera_1027_gao__port_506387', 0.0022505561, 332, '355'), ('916235064', 'alhambra_1027_gao__port_506381', 0.005320404, 332, '355'), ('916235064', 'x6_1027_gao__port_506349', 0.001099867, 332, '355'), ('916235064', 'vitara_1027_gao__port_506328', 0.005401359, 332, '355'), ('916235064', 'fiesta_1027_gao__port_506377', 0.0039193574, 332, '355'), ('916235064', 'qashqai_1027_gao__port_506286', 0.0014788738, 332, '355'), ('916235064', '147_1027_gao__port_506124', 0.0019778293, 332, '355'), ('916235064', 'c5_1027_gao__port_506172', 0.0012440031, 332, '355'), ('916235064', 'q5_1027_gao__port_506206', 0.0015048776, 332, '355'), ('916235064', 'giulia_1027_gao__port_506178', 0.0021692698, 332, '355'), ('916235064', 'karl_1027_gao__port_506371', 0.0027083405, 332, '355'), ('916235064', 'mehari_1027_gao__port_506076', 0.0047024693, 332, '355'), ('916235064', '911_1027_gao__port_506114', 0.001941589, 332, '355'), ('916235064', '508_1027_gao__port_506329', 0.00095854054, 332, '355'), ('916235064', 'idea_1027_gao__port_506122', 0.00076992065, 332, '355'), ('916235064', 'megane_1027_gao__port_506220', 0.0019469769, 332, '355'), ('916235064', 'ghibli_1027_gao__port_506174', 0.0013726171, 332, '355'), ('916235064', 'touareg_1027_gao__port_506224', 0.0016202861, 332, '355'), ('916235064', 'i10_1027_gao__port_506232', 0.0013924956, 332, '355'), ('916235064', 'jumper_1027_gao__port_506234', 0.01004289, 332, '355'), ('916235064', 'classe_clk_1027_gao__port_506173', 0.0010793541, 332, '355'), ('916235064', 'kuga_1027_gao__port_506181', 0.00084468897, 332, '355'), ('916235064', 'ct_1027_gao__port_506323', 0.0012519923, 332, '355'), ('916235064', 'leon_1027_gao__port_506326', 0.0025843713, 332, '355'), ('916235064', 'ds5_1027_gao__port_506376', 0.0012429336, 332, '355'), ('916235064', 'cordoba_1027_gao__port_506048', 0.0028650488, 332, '355'), ('916235064', 'classe_cla_1027_gao__port_506400', 0.0012949328, 332, '355'), ('916235064', 'jumpy_1027_gao__port_506179', 0.010338372, 332, '355'), ('916235064', 'avensis_1027_gao__port_506311', 0.0018767362, 332, '355'), ('916235064', 'juke_1027_gao__port_506325', 0.0011344714, 332, '355'), ('916235064', '4008_1027_gao__port_506402', 0.0015759446, 332, '355'), ('916235064', '190_series_1027_gao__port_506051', 0.003980024, 332, '355'), ('916235064', 'serie_3_1027_gao__port_506294', 0.0028740808, 332, '355'), ('916235064', 'q7_1027_gao__port_506318', 0.0023355067, 332, '355'), ('916235064', 'glc_1027_gao__port_506303', 0.0012107488, 332, '355'), ('916235064', 'grand_vitara_1027_gao__port_506175', 0.0011447702, 332, '355'), ('916235064', 's40_1027_gao__port_506099', 0.0022339353, 332, '355'), ('916235064', 'toledo_1027_gao__port_506061', 0.0017466028, 332, '355'), ('916235064', '5008_1027_gao__port_506337', 0.004699534, 332, '355'), ('916235064', 'continental_1027_gao__port_506250', 0.0021916344, 332, '355'), ('916235064', 'coupe_1027_gao__port_506082', 0.0022628661, 332, '355'), ('916235064', 'iq_1027_gao__port_506166', 0.0018173361, 332, '355'), ('916235064', '407_1027_gao__port_506133', 0.000905699, 332, '355'), ('916235064', 'touran_1027_gao__port_506308', 0.0020403387, 332, '355'), ('916235064', '300c_1027_gao__port_506078', 0.0025334675, 332, '355'), ('916235064', 'classe_gl_1027_gao__port_506340', 0.004489129, 332, '355'), ('916235064', 'vivaro_1027_gao__port_506310', 0.0034254564, 332, '355'), ('916235064', 'sl_1027_gao__port_506100', 0.0031352828, 332, '355'), ('916235064', 'elise_1027_gao__port_506121', 0.001025446, 332, '355'), ('916235064', '1007_1027_gao__port_506070', 0.0015354253, 332, '355'), ('916235064', 'i40_1027_gao__port_506218', 0.00059148774, 332, '355'), ('916235064', 'bipper_tepee_1027_gao__port_506227', 0.004029944, 332, '355'), ('916235064', 'focus_1027_gao__port_506272', 0.0011585951, 332, '355'), ('916235064', 'primera_1027_gao__port_506147', 0.0012157902, 332, '355'), ('916235064', 'r4_1027_gao__port_506160', 0.014967235, 332, '355'), ('916235064', 'a8_1027_gao__port_506265', 0.0011319752, 332, '355'), ('916235064', 'boxer_1027_gao__port_506202', 0.010544184, 332, '355'), ('916235064', 's5_1027_gao__port_506222', 0.0011983957, 332, '355'), ('916235064', 'r21_1027_gao__port_506093', 0.0041852575, 332, '355'), ('916235064', 'c3_1027_gao__port_506257', 0.0023635626, 332, '355'), ('916235064', 'santa_fe_1027_gao__port_506208', 0.0016326002, 332, '355'), ('916235064', 'm4_1027_gao__port_506344', 0.0015566667, 332, '355'), ('916235064', 'safrane_1027_gao__port_506077', 0.0013958685, 332, '355'), ('916235064', 'classe_gle_1027_gao__port_506395', 0.002197758, 332, '355'), ('916235064', '0_1027_gao__port_506094', 0.0088278875, 332, '355'), ('916235064', 'ix35_1027_gao__port_506219', 0.001461528, 332, '355'), ('916235064', 'carens_1027_gao__port_506298', 0.0008825301, 332, '355'), ('916235064', 'classe_a_1027_gao__port_506339', 0.0024714274, 332, '355'), ('916235064', 'ix20_1027_gao__port_506343', 0.0010092483, 332, '355'), ('916235064', 'note_1027_gao__port_506365', 0.0015963055, 332, '355'), ('916235064', 'a5_1027_gao__port_506200', 0.0015330331, 332, '355'), ('916235064', 'sx4_1027_gao__port_506348', 0.0014916733, 332, '355'), ('916235064', 'sandero_1027_gao__port_506198', 0.0014586376, 332, '355'), ('916235064', '3008_1027_gao__port_506385', 0.005645731, 332, '355'), ('916235064', 'q50_1027_gao__port_506239', 0.0011165449, 332, '355'), ('916235064', 'latitude_1027_gao__port_506236', 0.00080197206, 332, '355'), ('916235064', 'v40_1027_gao__port_506391', 0.0017146277, 332, '355'), ('916235064', 'xsara_1027_gao__port_506087', 0.0009823265, 332, '355'), ('916235064', 'grand_c_max_1027_gao__port_506342', 0.0017958538, 332, '355'), ('916235064', 'swift_1027_gao__port_506149', 0.0015019446, 332, '355'), ('916235064', 'serie_1_1027_gao__port_506184', 0.0015139561, 332, '355'), ('916235064', 'xc70_1027_gao__port_506393', 0.0036198357, 332, '355'), ('916235064', 'master_1027_gao__port_506203', 0.007957519, 332, '355'), ('916235064', 'clio_1027_gao__port_506280', 0.0029579985, 332, '355'), ('916235064', 'duster_1027_gao__port_506216', 0.000744463, 332, '355'), ('916235064', 'traveller_1027_gao__port_506403', 0.004293824, 332, '355'), ('916235064', 'tipo_1027_gao__port_506355', 0.0010929588, 332, '355'), ('916235064', 'rav_4_1027_gao__port_506332', 0.0013603299, 332, '355'), ('916235064', 'coccinelle_1027_gao__port_506259', 0.003494759, 332, '355'), ('916235064', 'spacetourer_1027_gao__port_506401', 0.0030969256, 332, '355'), ('916235064', 'xe_1027_gao__port_506357', 0.001447109, 332, '355'), ('916235064', 'ds3_1027_gao__port_506324', 0.0013092796, 332, '355'), ('916235064', 'mx_5_1027_gao__port_506098', 0.0025888393, 332, '355'), ('916235064', 'land_cruiser_1027_gao__port_506315', 0.00953088, 332, '355'), ('916235064', 'classe_b_1027_gao__port_506335', 0.0017214747, 332, '355'), ('916235064', '806_1027_gao__port_506088', 0.0025617192, 332, '355'), ('916235064', 'rx_8_1027_gao__port_506046', 0.0036221137, 332, '355'), ('916235064', 'spark_1027_gao__port_506185', 0.0010077839, 332, '355'), ('916235064', '6_1027_gao__port_506171', 0.0011181942, 332, '355'), ('916235064', 'bravo_1027_gao__port_506080', 0.0014650367, 332, '355'), ('916235064', 'nx_1027_gao__port_506345', 0.0013681577, 332, '355'), ('916235064', 'sharan_1027_gao__port_506347', 0.0050927843, 332, '355'), ('916235064', 'x_type_1027_gao__port_506067', 0.0007803896, 332, '355'), ('916235064', 'jimny_1027_gao__port_506233', 0.0046055806, 332, '355'), ('916235064', 'wrangler_1027_gao__port_506225', 0.0017992603, 332, '355'), ('916235064', 'c_crosser_1027_gao__port_506312', 0.0015928692, 332, '355'), ('916235064', 'v70_1027_gao__port_506278', 0.0019678115, 332, '355'), ('916235064', 'classe_e_1027_gao__port_506300', 0.0017368997, 332, '355'), ('916235064', 'classe_v_1027_gao__port_506258', 0.012731472, 332, '355'), ('916235064', 'm3_1027_gao__port_506182', 0.0023370537, 332, '355'), ('916235064', 'abarth_500_1027_gao__port_506226', 0.0040438925, 332, '355'), ('916235064', 'serie_6_1027_gao__port_506262', 0.001131524, 332, '355'), ('916235064', 'modus_1027_gao__port_506146', 0.0018295253, 332, '355'), ('916235064', '3_1027_gao__port_506113', 0.0015082271, 332, '355'), ('916235064', '405_1027_gao__port_506108', 0.00805503, 332, '355'), ('916235064', 'allroad_1027_gao__port_506297', 0.001059686, 332, '355'), ('916235064', 'auris_1027_gao__port_506322', 0.001152438, 332, '355'), ('916235064', 'galaxy_1027_gao__port_506143', 0.0025148238, 332, '355'), ('916235064', 'giulietta_1027_gao__port_506363', 0.0008650985, 332, '355'), ('916235064', '106_1027_gao__port_506073', 0.0082694255, 332, '355'), ('916235064', 'classe_m_1027_gao__port_506154', 0.0030023511, 332, '355'), ('916235064', 'espace_1027_gao__port_506313', 0.0010646976, 332, '355'), ('916235064', 'panda_1027_gao__port_506189', 0.009030317, 332, '355'), ('916235064', 'rcz_1027_gao__port_506197', 0.00112935, 332, '355'), ('916235064', '4007_1027_gao__port_506162', 0.0006793846, 332, '355'), ('916235064', 'classe_cl_1027_gao__port_506249', 0.0010859189, 332, '355'), ('916235064', 'leaf_1027_gao__port_506139', 0.0018037456, 332, '355'), ('916235064', 'octavia_1027_gao__port_506237', 0.0018601075, 332, '355'), ('916235064', 'ds4_1027_gao__port_506336', 0.0024157562, 332, '355'), ('916235064', 'freelander_1027_gao__port_506084', 0.0023472854, 332, '355'), ('916235064', 'evasion_1027_gao__port_506109', 0.0031142472, 332, '355'), ('916235064', 'punto_1027_gao__port_506106', 0.001949658, 332, '355'), ('916235064', '2cv_1027_gao__port_506045', 0.007973823, 332, '355'), ('916235064', 'x4_1027_gao__port_506392', 0.0017947706, 332, '355'), ('916235064', 'antara_1027_gao__port_506247', 0.0012469629, 332, '355'), ('916235064', 'murano_1027_gao__port_506316', 0.0006088367, 332, '355'), ('916235064', 'alto_1027_gao__port_506201', 0.00923164, 332, '355'), ('916235064', 'meriva_1027_gao__port_506353', 0.0013764983, 332, '355'), ('916235064', 'orlando_1027_gao__port_506305', 0.0018463128, 332, '355'), ('916235064', 'new_beetle_1027_gao__port_506050', 0.0011636771, 332, '355'), ('916235064', '306_1027_gao__port_506145', 0.0035069764, 332, '355'), ('916235064', 'tiguan_1027_gao__port_506362', 0.0026823585, 332, '355'), ('916235064', 's_type_1027_gao__port_506101', 0.0011382928, 332, '355'), ('916235064', 'c1_1027_gao__port_506128', 0.002751277, 332, '355'), ('916235064', 'vectra_1027_gao__port_506044', 0.0011988827, 332, '355'), ('916235064', 'outlander_1027_gao__port_506317', 0.0017122211, 332, '355'), ('916235064', '307_1027_gao__port_506074', 0.0020012157, 332, '355'), ('916235064', 'a6_s6_1027_gao__port_506134', 0.0016568583, 332, '355'), ('916235064', 'nemo_combi_1027_gao__port_506196', 0.0022664513, 332, '355'), ('916235064', 'berlingo_1027_gao__port_506194', 0.0046634283, 332, '355'), ('916235064', 'partner_1027_gao__port_506285', 0.0039414777, 332, '355'), ('916235064', 'cayenne_1027_gao__port_506177', 0.003797852, 332, '355'), ('916235064', 'quattroporte_1027_gao__port_506240', 0.0024442382, 332, '355'), ('916235064', 'c_max_1027_gao__port_506282', 0.001312494, 332, '355'), ('916235064', 'fabia_1027_gao__port_506396', 0.005298751, 332, '355'), ('916235064', 'cx_3_1027_gao__port_506281', 0.0014461813, 332, '355'), ('916235064', 'x_trail_1027_gao__port_506264', 0.0018314879, 332, '355'), ('916235064', 'scirocco_1027_gao__port_506276', 0.004791094, 332, '355'), ('916235064', 'matiz_1027_gao__port_506144', 0.0017560933, 332, '355'), ('916235064', 'tigra_1027_gao__port_506069', 0.0008542008, 332, '355'), ('916235064', 'escort_1027_gao__port_506091', 0.0048394185, 332, '355'), ('916235064', 'c2_1027_gao__port_506081', 0.0014904045, 332, '355'), ('916235064', 'mini_1027_gao__port_506168', 0.0011921382, 332, '355'), ('916235064', 'i30_1027_gao__port_506291', 0.00063257676, 332, '355'), ('916235064', 'picanto_1027_gao__port_506238', 0.0029748387, 332, '355'), ('916235064', 'mito_1027_gao__port_506072', 0.0015078208, 332, '355'), ('916235064', 'impreza_1027_gao__port_506085', 0.0020189933, 332, '355'), ('916235064', 'kangoo_1027_gao__port_506235', 0.006585566, 332, '355'), ('916235064', 'a4_1027_gao__port_506193', 0.0019872917, 332, '355'), ('916235064', 'cayman_1027_gao__port_506268', 0.0018140763, 332, '355'), ('916235064', 'sportage_1027_gao__port_506148', 0.0014276874, 332, '355'), ('916235064', 'up_1027_gao__port_506356', 0.0068634674, 332, '355'), ('916235064', 'optima_1027_gao__port_506386', 0.0008917642, 332, '355'), ('916235064', 'defender_1027_gao__port_506229', 0.0067213494, 332, '355'), ('916235064', 'serie_2_1027_gao__port_506256', 0.0022273317, 332, '355'), ('916235064', 'edge_1027_gao__port_506187', 0.0008747912, 332, '355'), ('916235064', 'r19_1027_gao__port_506110', 0.0049425215, 332, '355'), ('916235064', 'jetta_1027_gao__port_506304', 0.0036195912, 332, '355'), ('916235064', 'eos_1027_gao__port_506115', 0.003891983, 332, '355'), ('916235064', 'accord_1027_gao__port_506214', 0.0020127909, 332, '355'), ('916235064', 'yaris_1027_gao__port_506334', 0.0032336253, 332, '355'), ('916235064', 'classe_cls_1027_gao__port_506289', 0.0007851258, 332, '355'), ('916235064', 'polo_1027_gao__port_506361', 0.0043106996, 332, '355'), ('916235064', 'serie_4_1027_gao__port_506366', 0.0011475333, 332, '355'), ('916235064', 'mini_cabriolet_1027_gao__port_506204', 0.0008377116, 332, '355'), ('916235064', 'prius_1027_gao__port_506190', 0.0011488912, 332, '355'), ('916235064', 'lodgy_1027_gao__port_506188', 0.002017362, 332, '355'), ('916235064', 'serie_7_1027_gao__port_506307', 0.0012477578, 332, '355'), ('916235064', 'c15_1027_gao__port_506055', 0.017712846, 332, '355'), ('916235064', 'kadjar_1027_gao__port_506389', 0.0012506047, 332, '355'), ('916235064', 'insignia_1027_gao__port_506364', 0.0016434963, 332, '355'), ('916235064', '308_1027_gao__port_506279', 0.002123729, 332, '355'), ('916235064', 'roomster_1027_gao__port_506241', 0.0018015353, 332, '355'), ('916235064', '80_1027_gao__port_506057', 0.0046131625, 332, '355'), ('916235064', '309_1027_gao__port_506063', 0.01352516, 332, '355'), ('916235064', 'tucson_1027_gao__port_506320', 0.0021238057, 332, '355'), ('916235064', 'x3_1027_gao__port_506212', 0.0008976496, 332, '355'), ('916235064', 'xf_1027_gao__port_506263', 0.001116614, 332, '355'), ('916235064', '2008_1027_gao__port_506394', 0.002641104, 332, '355'), ('916235064', 'passat_1027_gao__port_506306', 0.0014975475, 332, '355'), ('916235064', 'compass_1027_gao__port_506260', 0.0032558667, 332, '355'), ('916235064', 'twingo_1027_gao__port_506309', 0.006499778, 332, '355'), ('916235064', 'micra_1027_gao__port_506221', 0.003586727, 332, '355'), ('916235064', 'golf_1027_gao__port_506155', 0.0031930972, 332, '355'), ('916235064', 'soul_1027_gao__port_506176', 0.0012890119, 332, '355'), ('916235064', 'rapid_1027_gao__port_506398', 0.0025913352, 332, '355'), ('916235064', 'forester_1027_gao__port_506360', 0.002276206, 332, '355'), ('916235064', 'slk_1027_gao__port_506210', 0.0015845975, 332, '355'), ('916235064', 'forfour_1027_gao__port_506341', 0.0021797465, 332, '355'), ('916235064', 'serie_5_1027_gao__port_506209', 0.0013693967, 332, '355'), ('916235064', 'xj_1027_gao__port_506170', 0.002600993, 332, '355'), ('916235064', 'pajero_1027_gao__port_506097', 0.0052105826, 332, '355'), ('916235064', 'agila_1027_gao__port_506119', 0.004849861, 332, '355'), ('916235064', 'a6_1027_gao__port_506163', 0.0018909784, 332, '355'), ('916235064', 'fox_1027_gao__port_506092', 0.00084654836, 332, '355'), ('916235064', 'boxster_1027_gao__port_506267', 0.0015941527, 332, '355'), ('916235064', 'altea_1027_gao__port_506246', 0.0021392072, 332, '355'), ('916235064', 'samurai_1027_gao__port_506047', 0.0062503046, 332, '355'), ('916235064', 'trax_1027_gao__port_506296', 0.0019440202, 332, '355'), ('916235064', 'getz_1027_gao__port_506058', 0.0016386044, 332, '355'), ('916235064', 'cherokee_1027_gao__port_506269', 0.0029809135, 332, '355'), ('916235064', 'koleos_1027_gao__port_506378', 0.0015591267, 332, '355'), ('916235064', 'z_series_1027_gao__port_506123', 0.0016561332, 332, '355'), ('916235064', 'ecosport_1027_gao__port_506271', 0.0013230663, 332, '355'), ('916235064', 'space_star_1027_gao__port_506277', 0.0021145795, 332, '355'), ('916235064', 'rs3_sportback_1027_gao__port_506207', 0.0019115038, 332, '355'), ('916235064', 'civic_1027_gao__port_506141', 0.0026899124, 332, '355'), ('916235064', 'talisman_1027_gao__port_506390', 0.0007613931, 332, '355'), ('916235064', 'f_pace_1027_gao__port_506314', 0.0016164936, 332, '355'), ('916235064', 'classe_c_1027_gao__port_506299', 0.0017942969, 332, '355'), ('916235064', 'tt_1027_gao__port_506075', 0.0013934189, 332, '355'), ('916235064', 'pathfinder_1027_gao__port_506183', 0.0016513475, 332, '355'), ('916235064', '156_1027_gao__port_506157', 0.0015445264, 332, '355'), ('916235064', 'cx_5_1027_gao__port_506228', 0.001441357, 332, '355'), ('916235064', 'scenic_1027_gao__port_506255', 0.0016084837, 332, '355'), ('916235064', 'yeti_1027_gao__port_506358', 0.0020913905, 332, '355'), ('916235064', 'mustang_1027_gao__port_506053', 0.010049446, 332, '355'), ('916235064', 'stilo_1027_gao__port_506060', 0.001083188, 332, '355'), ('916235064', 'ateca_1027_gao__port_506382', 0.0017009205, 332, '355'), ('916235064', 'fiorino_1027_gao__port_506217', 0.009199344, 332, '355'), ('916235064', 'classe_glk_1027_gao__port_506290', 0.0017017521, 332, '355'), ('916235064', 'fortwo_1027_gao__port_506230', 0.0016008973, 332, '355'), ('916235064', 'cruze_1027_gao__port_506186', 0.0010052649, 332, '355'), ('916235064', '107_1027_gao__port_506213', 0.0016276535, 332, '355'), ('916235064', 'aygo_1027_gao__port_506248', 0.003243127, 332, '355'), ('916235064', 'rx_1027_gao__port_506354', 0.0010632396, 332, '355'), ('916235064', '500_1027_gao__port_506245', 0.0016356831, 332, '355'), ('916235064', 'bora_1027_gao__port_506104', 0.003816913, 332, '355'), ('916235064', 'transit_1027_gao__port_506111', 0.004861763, 332, '355'), ('916235064', 'pt_cruiser_1027_gao__port_506054', 0.0019167827, 332, '355'), ('916235064', 'patrol_1027_gao__port_506068', 0.0042393026, 332, '355'), ('916235064', 'r8_1027_gao__port_506156', 0.0012720774, 332, '355'), ('916235064', 'xm_1027_gao__port_506102', 0.0022674454, 332, '355'), ('916235064', 's60_1027_gao__port_506191', 0.0031992714, 332, '355'), ('916235064', 'aveo_1027_gao__port_506158', 0.0038405692, 332, '355'), ('916235064', 'captiva_1027_gao__port_506159', 0.0017189877, 332, '355'), ('916235064', 'ax_1027_gao__port_506153', 0.006895401, 332, '355'), ('916235064', 'rexton_1027_gao__port_506107', 0.0013022037, 332, '355'), ('916235064', 'camaro_1027_gao__port_506056', 0.0024901615, 332, '355'), ('916235064', 'ypsilon_1027_gao__port_506131', 0.0019544368, 332, '355'), ('916235064', 'delta_1027_gao__port_506165', 0.0014001345, 332, '355'), ('916235064', 'c4_1027_gao__port_506370', 0.0013007298, 332, '355'), ('916235064', 'zx_1027_gao__port_506161', 0.0045937295, 332, '355'), ('916235064', 'verso_1027_gao__port_506242', 0.00077207864, 332, '355'), ('916235064', 'superb_1027_gao__port_506327', 0.001994003, 332, '355'), ('916235064', 'r5_1027_gao__port_506253', 0.0095457835, 332, '355'), ('916235064', 'caddy_1027_gao__port_506330', 0.0138264205, 332, '355'), ('916235064', 'x5_1027_gao__port_506243', 0.001120294, 332, '355'), ('916235064', 'f_type_1027_gao__port_506231', 0.00082991127, 332, '355'), ('916235064', 'fusion_1027_gao__port_506096', 0.0012670015, 332, '355'), ('916235064', 'dokker_1027_gao__port_506331', 0.005358493, 332, '355'), ('916235064', '205_1027_gao__port_506062', 0.0066846893, 332, '355'), ('916235064', 'macan_1027_gao__port_506195', 0.0015571273, 332, '355'), ('916235064', 'tourneo_1027_gao__port_506369', 0.00640245, 332, '355'), ('916235064', '108_1027_gao__port_506384', 0.005264832, 332, '355'), ('916235064', '9_3_1027_gao__port_506071', 0.00083749567, 332, '355'), ('916235064', 'mondeo_1027_gao__port_506116', 0.0014397139, 332, '355'), ('916235064', 'cr_v_1027_gao__port_506164', 0.0016414075, 332, '355'), ('916235064', 'c30_1027_gao__port_506090', 0.001748464, 332, '355'), ('916235064', 'pulsar_1027_gao__port_506397', 0.0012018958, 332, '355'), ('916235064', 'ibiza_1027_gao__port_506273', 0.0037230614, 332, '355'), ('916235064', 'a1_1027_gao__port_506338', 0.0012346343, 332, '355'), ('916235064', 'matrix_1027_gao__port_506140', 0.00070774666, 332, '355'), ('916235064', 'carnival_1027_gao__port_506136', 0.0022818702, 332, '355'), ('916235064', 'xantia_1027_gao__port_506086', 0.0021958381, 332, '355'), ('916235064', 'terrano_1027_gao__port_506083', 0.0020292853, 332, '355'), ('916235064', 'q3_1027_gao__port_506275', 0.0011264461, 332, '355'), ('916235064', 'hr_v_1027_gao__port_506283', 0.0017805581, 332, '355'), ('916235064', 'expert_1027_gao__port_506142', 0.007370148, 332, '355'), ('916235064', 'multivan_1027_gao__port_506383', 0.006504486, 332, '355'), ('916235064', 'venga_1027_gao__port_506380', 0.00080028665, 332, '355'), ('916235064', 'scudo_1027_gao__port_506129', 0.0055930144, 332, '355'), ('916235064', 'laguna_1027_gao__port_506368', 0.00071344693, 332, '355'), ('916235064', 'vel_satis_1027_gao__port_506130', 0.0027264222, 332, '355'), ('916235064', 'b_max_1027_gao__port_506367', 0.0017247779, 332, '355'), ('916235064', 'ignis_1027_gao__port_506292', 0.004355702, 332, '355'), ('916235064', '159_1027_gao__port_506064', 0.0010782233, 332, '355'), ('916235064', 'grande_punto_1027_gao__port_506138', 0.0023635523, 332, '355'), ('916235064', 'logan_1027_gao__port_506167', 0.0043977513, 332, '355'), ('916235064', 's_max_1027_gao__port_506223', 0.0012526304, 332, '355'), ('916235064', 'caravelle_1027_gao__port_506351', 0.0030293218, 332, '355'), ('916235064', 'adam_1027_gao__port_506079', 0.0010538156, 332, '355'), ('916235064', '406_1027_gao__port_506132', 0.0013574157, 332, '355'), ('916235064', 'q30_1027_gao__port_506293', 0.0009715697, 332, '355'), ('916235064', 'almera_1027_gao__port_506089', 0.0010240863, 332, '355'), ('916235064', 'corsa_1027_gao__port_506095', 0.002520557, 332, '355'), ('916235064', 'corolla_1027_gao__port_506120', 0.0026823191, 332, '355'), ('916235064', 'xc60_1027_gao__port_506388', 0.0018988414, 332, '355'), ('916235064', 'viano_1027_gao__port_506211', 0.0026943649, 332, '355'), ('916235064', 'pro_cee_d_1027_gao__port_506274', 0.00083201844, 332, '355'), ('916235064', 'a3_1027_gao__port_506321', 0.0037381374, 332, '355'), ('916235064', 'v50_1027_gao__port_506150', 0.0007919805, 332, '355'), ('916235064', 'voyager_1027_gao__port_506169', 0.0030529683, 332, '355'), ('916235064', 'corvette_1027_gao__port_506049', 0.0037229185, 332, '355'), ('916235064', 'rio_1027_gao__port_506379', 0.0017739382, 332, '355'), ('916235064', 'jazz_1027_gao__port_506252', 0.001530504, 332, '355'), ('916235064', '200_1027_gao__port_506112', 0.0040872595, 332, '355'), ('916235064', 'tts_1027_gao__port_506199', 0.0011861374, 332, '355'), ('916235064', 'zafira_1027_gao__port_506287', 0.0026955009, 332, '355'), ('916235064', 'asx_1027_gao__port_506266', 0.0011407554, 332, '355'), ('916235064', '607_1027_gao__port_506118', 0.0012529942, 332, '355'), ('916235064', '207_1027_gao__port_506103', 0.0015148588, 332, '355'), ('916235064', 'classe_s_1027_gao__port_506301', 0.0031653557, 332, '355'), ('916235064', 'c6_1027_gao__port_506105', 0.001734794, 332, '355'), ('916235064', 'express_1027_gao__port_506137', 0.01672596, 332, '355'), ('916235064', 'classe_gla_1027_gao__port_506352', 0.0018256342, 332, '355'), ('916235064', 'v60_1027_gao__port_506333', 0.0021461635, 332, '355'), ('916235064', 'ka_1027_gao__port_506180', 0.0014152193, 332, '355'), ('916235064', 'range_rover_1027_gao__port_506254', 0.0020549335, 332, '355'), ('916235064', 'discovery_1027_gao__port_506375', 0.0022964731, 332, '355'), ('916235064', 'classe_r_1027_gao__port_506270', 0.0013944375, 332, '355'), ('916235064', 'transporter_1027_gao__port_506319', 0.011968375, 332, '355'), ('916235064', 'cee_d_1027_gao__port_506288', 0.0010548477, 332, '355'), ('916235064', 'zoe_1027_gao__port_506244', 0.0020713792, 332, '355'), ('916235064', 'i20_1027_gao__port_506284', 0.0017868837, 332, '355'), ('916235064', 'gtv_1027_gao__port_506059', 0.0057226056, 332, '355'), ('916235064', 's4_avant_1027_gao__port_506261', 0.0027662495, 332, '355'), ('916235064', 'x1_1027_gao__port_506372', 0.0017144065, 332, '355'), ('916235064', 'autres_1027_gao__port_506127', 0.0048249825, 332, '355'), ('916235064', '208_1027_gao__port_506359', 0.0018688393, 332, '355'), ('916235064', 'c8_1027_gao__port_506135', 0.0012580638, 332, '355'), ('916235064', 'astra_1027_gao__port_506215', 0.001262671, 332, '355'), ('916235064', '2_1027_gao__port_506151', 0.000924558, 332, '355'), ('916235064', 'doblo_1027_gao__port_506251', 0.007466856, 332, '355'), ('916235064', '807_1027_gao__port_506152', 0.0007289873, 332, '355'), ('916235064', '206_1027_gao__port_506126', 0.0010386558, 332, '355'), ('916235064', 'a7_1027_gao__port_506373', 0.00069109956, 332, '355'), ('916235064', 'renegade_1027_gao__port_506346', 0.0021418226, 332, '355')]]}


begin to insert list_values into class_photo_scores : 
length of list_valuse in save_photo_hashtag_id_thcl_score : 0
insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score)
time used for this insertion : 5.0067901611328125e-06

save missing photos in datou_result :

time spend for datou_step_exec : 5.5539631843566895
time spend to save output : 2.053562641143799
total time spend for step 1 : 7.607525825500488

step2:argmax
Sun Feb  2 03:37:43 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738463855_2241491_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg': 916235064}
map_photo_id_path_extension : {916235064: {'path': 'temp/1738463855_2241491_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
calculate argmax for thcl : 355

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : True verbose : True
 photo_id : 916235064 output[photo_id] :  [('916235064', 'c15_1027_gao__port_506055', 0.017712846, 332, '355'), 'temp/1738463855_2241491_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg']


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 1
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
 first line : ('916235064', '2049863950', '332')
...
 last line : ('916235064', '2049863950', '332')
time used for this insertion : 0.014941215515136719


begin to insert list_values into class_photo_scores : 
length of list_valuse in save_photo_hashtag_id_thcl_score : 1
insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score)
time used for this insertion : 0.01828598976135254
len list_finale : 1, len picture : 1


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('2', None, '916235064', 'c15_1027_gao__port_506055', None, None, '2049863950', '0.017712846', None)]
time used for this insertion : 0.015591621398925781
saving photo_ids in datou_result
photo id not in port


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 0
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : []
time used for this insertion : 3.0994415283203125e-06

save missing photos in datou_result :

time spend for datou_step_exec : 0.00018668174743652344
time spend to save output : 0.048998355865478516
total time spend for step 2 : 0.04918503761291504

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 2
 output : {'916235064': [('916235064', 'c15_1027_gao__port_506055', 0.017712846, 332, '355'), 'temp/1738463855_2241491_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg']}

############################### TEST tfhub2  ################################
TEST TFHUB2
######################## test with use_multi_inputs=0 ########################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4567

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4567
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4567
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4567
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 12835 tfhub_classification2 is not linked in the step_by_step architecture !
WARNING : step 12836 argmax is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : tfhub_classification2, argmax
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1171252784,1171252764,1171252487) 
 Found this number of photos: 3
##### Call download_photos : nb_thread : 5
begin to download photo : 1171252487
begin to download photo : 1171252764
begin to download photo : 1171252784
download finish for photo 1171252784
download finish for photo 1171252764
download finish for photo 1171252487
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 3 ; length of list_pids : 3 ; length of list_args : 3
##### After load_data_input 
time to download the photos : 0.1807854175567627
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:tfhub_classification2
Sun Feb  2 03:37:43 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738463863_2241491_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg': 1171252784, 'temp/1738463863_2241491_1171252764_29d5179a892cc50aadc9d67245534b59.jpg': 1171252764, 'temp/1738463863_2241491_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg': 1171252487}
map_photo_id_path_extension : {1171252784: {'path': 'temp/1738463863_2241491_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg', 'extension': 'jpg'}, 1171252764: {'path': 'temp/1738463863_2241491_1171252764_29d5179a892cc50aadc9d67245534b59.jpg', 'extension': 'jpg'}, 1171252487: {'path': 'temp/1738463863_2241491_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step TFHub with tf2 !
multi_thcl or not :False
multi_thcl_cond or not :False
dic_thcl :  {'3609': 1}
we are using the classfication for only one thcl
3609


begin to check gpu status 
inside check gpu memory
2025-02-02 03:37:46.554294: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-02 03:37:46.555064: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:37:46.555239: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:37:46.555288: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:37:46.557393: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:37:46.557464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:37:46.560707: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:37:46.561895: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:37:46.566980: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:37:46.568201: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:37:46.568720: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-02 03:37:46.599524: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493020000 Hz
2025-02-02 03:37:46.601040: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f5e24000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-02 03:37:46.601104: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-02 03:37:46.603743: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x459b7bf0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-02 03:37:46.603762: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-02 03:37:46.604626: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-02 03:37:46.604793: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:37:46.604814: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-02 03:37:46.604932: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-02 03:37:46.604958: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-02 03:37:46.604990: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-02 03:37:46.605026: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-02 03:37:46.605063: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-02 03:37:46.605994: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-02 03:37:46.606043: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-02 03:37:46.606089: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-02 03:37:46.606098: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-02 03:37:46.606106: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-02 03:37:46.607078: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3096 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
l 3637 free memory gpu now : 6456  max_wait_temp :  1 max_wait :  5
1 Physical GPUs, 1 Logical GPUs

tagging for thcl : 3609
To do loadFromThcl(), then load ParamDescType : thcl3609
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (3609) 
 thcls : [{'id': 3609, 'mtr_user_id': 31, 'name': 'tfhub_19_06_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'jrm,pcm,pcnc,pehd,tapis_vide', 'svm_portfolios_learning': '9336903,9336904,9336905,9336906,9336909', 'photo_hashtag_type': 4674, 'photo_desc_type': 5832, 'type_classification': 'tf_classification2', 'hashtag_id_list': '495916461,560181804,1284539308,628944319,2107748999'}]
 thcl {'id': 3609, 'mtr_user_id': 31, 'name': 'tfhub_19_06_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'jrm,pcm,pcnc,pehd,tapis_vide', 'svm_portfolios_learning': '9336903,9336904,9336905,9336906,9336909', 'photo_hashtag_type': 4674, 'phot$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC$œ’m…Îmo“LÒDüÜ;˜%gÏ?wêÁÅ·øîùovH0õÉa‡5£Ú*î Ø’ÃÌlÍ››S iy
ä”rÕO7ª“ž�%L]Ý×%±ºÇhk¶«·÷>v1­HB£®±ßÞÚd\�(eoIx¢>3´
6BS%ÌØá“(
œÛf$Ãhýé¿¶åeÔŽôÚèHœ�
‚`ݶf{�Fo©Yò¿Ôó
@00uMb’z-ëìXI$&ÂgfÖú¶7Ó´Þu|'K.ÌoP
PÝÀùFË.Ðýoûò9B<~.’ïÅË[’´˜Ë<Ù­„$¯•¢·ä{1¹A�•.ò
bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTEC686', None, '1333830433', 'None', None, None, None, None, None), ('686', None, '1333830520', 'None', None, None, None, None, None), ('686', None, '1333830600', 'None', None, None, None, None, None), ('686', None, '1333830639', 'None', None, None, None, None, None), ('686', None, '1333830640', 'None', None, None, None, None, None), ('686', None, '950103132', None, None, None, None, None, None)]
time used for this insertion : 0.10057830810546875
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'1333830273': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', (183, 199, 15, 41)], '1333830283': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', (38, 85, 113, 140)], '1333830358': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', (168, 194, 141, 151)], '1333830433': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', (47, 101, 16, 110)], '1333830520': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', (175, 199, 104, 111)], '1333830600': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', (86, 130, 184, 196)], '1333830639': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', (79, 195, 0, 61)], '1333830640': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg', (131, 155, 181, 195)]}
 ret_da : {'1333830273': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', (183, 199, 15, 41)], '1333830283': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', (38, 85, 113, 140)], '1333830358': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', (168, 194, 141, 151)], '1333830433': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', (47, 101, 16, 110)], '1333830520': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', (175, 199, 104, 111)], '1333830600': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', (86, 130, 184, 196)], '1333830639': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', (79, 195, 0, 61)], '1333830640': ['950103132', 'temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg', (131, 155, 181, 195)]}
8
Found filename_to_hash : temp/1738464036_2241491_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg

############################### TEST angular_coeff  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=852

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=852
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 852
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=852
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : angular_coeff
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (932296368) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 932296368
download finish for photo 932296368
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.1482694149017334
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:angular_coeff
Sun Feb  2 03:40:56 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464055_2241491_932296368_97c5e7b0f2830e550e2d6eeb248d8006.jpg': 932296368}
map_photo_id_path_extension : {932296368: {'path': 'temp/1738464055_2241491_932296368_97c5e7b0f2830e550e2d6eeb248d8006.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of step detection filter
 param_json : {'input_type': 846, 'output_type': -1, 'orientation_type': 872, 'ref_crop_type': 846, 'condition_crop': 'car', 'criteria_crop': 'center_rect', 'crops_coeffs': {'CAR_EXTERIEUR_angle_avant_droit.*': {'aile-avant': [[15, 0.0], [240, 0.0], [285, 1.0], [345, 1.0]], 'capot': [[45, 1.0], [60, 0.5], [270, 0.0], [315, 1.0], [360, 1.0]]}}}
angular_coefficients_to_crops
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 932296368) and `type` in (846) 
Loaded 19 chid ids of type : 846
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739)
select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (932296368) and type=872
 treating photo 932296368
select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (932296368) and type=872

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.43860673904418945
time spend to save output : 7.462501525878906e-05
total time spend for step 1 : 0.43868136405944824

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {932296368: ([(932296368, 2106233860, 846, 1066, 1277, 93, 340, 0.31964028378983567, 0, []), (932296368, 2106233860, 846, 434, 690, 218, 498, 0.7170410105787726, 0, []), (932296368, 503548896, 846, 902, 1111, 466, 576, 0.31724966, 769189715, []), (932296368, 599722655, 846, 523, 1100, 152, 337, 0.98039776, 0, []), (932296368, 492601069, 846, 143, 1190, 90, 695, 0.9696157, 769189717, []), (932296368, 492601069, 846, 0, 408, 246, 719, 0.9431181, 769189718, []), (932296368, 2096875722, 846, 567, 964, 162, 215, 0.55490255, 769189721, []), (932296368, 2096875709, 846, 437, 939, 24, 198, 0.9983077, 769189723, []), (932296368, 2096875709, 846, 1004, 1263, 28, 144, 0.9485744, 769189724, []), (932296368, 624624117, 846, 595, 1122, 331, 640, 0.99100167, 769189725, []), (932296368, 492624020, 846, 585, 874, 308, 393, 0.78697366, 769189727, []), (932296368, 2096875719, 846, 943, 1100, 428, 547, 0.96733797, 769189729, []), (932296368, 492654799, 846, 253, 467, 35, 441, 0.99621326, 769189730, []), (932296368, 492689227, 846, 1118, 1264, 270, 438, 0.9901647, 769189732, []), (932296368, 492689227, 846, 486, 671, 378, 690, 0.98789483, 769189733, []), (932296368, 492689227, 846, 161, 255, 229, 409, 0.70801014, 769189734, []), (932296368, 492925064, 846, 261, 421, 27, 193, 0.92215157, 769189737, []), (932296368, 492925064, 846, 873, 1045, 46, 156, 0.7535122, 769189738, []), (932296368, 492925064, 846, 1090, 1279, 20, 107, 0.45259848, 769189739, [])],)}
test angular coeff is a success !

############################### TEST detection_filter_by_crop  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=708

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=708
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 708
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=708
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : detection_filter_by_crop
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (946711423) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 946711423
download finish for photo 946711423
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.12015271186828613
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:detection_filter_by_crop
Sun Feb  2 03:40:56 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464056_2241491_946711423_b4bef6b5c6c4b6ffae23f8718c42183c.jpg': 946711423}
map_photo_id_path_extension : {946711423: {'path': 'temp/1738464056_2241491_946711423_b4bef6b5c6c4b6ffae23f8718c42183c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of step detection filter
 param_json : {'input_type': 631, 'output_type': -1, 'condition_type': 445, 'condition_crop': 'car', 'criteria_crop': 'center_rect', 'min_surface_ratio': 0.7}
conditional_crop_copy
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 946711423) and `type` in (445) 
Loaded 3 chid ids of type : 445
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947734477,18345275,18345276)
+++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276)
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 946711423) and `type` in (631) 
Loaded 35 chid ids of type : 631
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 946711423) and `type` in (445) 
Loaded 3 chid ids of type : 445
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947734477,18345275,18345276)
+++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276)
 treating photo 946711423
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 624624117, 'type': 631, 'x0': 226, 'x1': 569, 'y0': 252, 'y1': 425, 'score': 0.99812776, 'id': 1947740368, 'points': ['395,419,341,419,340,418,316,418,315,417,306,417,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 162, 'x1': 245, 'y0': 233, 'y1': 396, 'score': 0.99702626, 'id': 1947740369, 'points': ['215,393,206,393,202,390,200,390,192,383,191,380,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 96, 'x1': 172, 'y0': 39, 'y1': 261, 'score': 0.9928518, 'id': 1947740370, 'points': ['143,252,143,249,141,246,140,246,138,248,138,251,137
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 545, 'x1': 612, 'y0': 186, 'y1': 276, 'score': 0.9876676, 'id': 1947740371, 'points': ['584,267,583,266,578,266,574,262,574,259,573,258,5 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 468, 'x1': 555, 'y0': 292, 'y1': 365, 'score': 0.9830025, 'id': 1947740372, 'points': ['491,350,489,350,488,349,487,350,483,350,480,348,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 599722655, 'type': 631, 'x0': 176, 'x1': 535, 'y0': 138, 'y1': 264, 'score': 0.9818268, 'id': 1947740373, 'points': ['453,253,413,253,412,252,387,252,386,250,386,248,3
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 53, 'x1': 87, 'y0': 127, 'y1': 212, 'score': 0.9786105, 'id': 1947740374, 'points': ['74,201,69,201,67,199,66,199,65,198,62,192,62,190,61 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492844413, 'type': 631, 'x0': 89, 'x1': 163, 'y0': 93, 'y1': 144, 'score': 0.9772748, 'id': 1947740375, 'points': ['159,142,153,141,151,139,148,138,145,135,141,133,139
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 418, 'x1': 522, 'y0': 69, 'y1': 136, 'score': 0.97407305, 'id': 1947740376, 'points': ['510,121,507,121,505,119,501,120,500,119,500,113,4 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875709, 'type': 631, 'x0': 185, 'x1': 431, 'y0': 39, 'y1': 136, 'score': 0.97171515, 'id': 1947740377, 'points': ['331,134,287,134,286,133,284,133,283,134,272,134,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 198, 'x1': 395, 'y0': 118, 'y1': 142, 'score': 0.9699756, 'id': 1947740378, 'points': ['328,137,251,137,250,136,249,137,241,137,240,136,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 499500794, 'type': 631, 'x0': 93, 'x1': 107, 'y0': 127, 'y1': 146, 'score': 0.9574813, 'id': 1947740379, 'points': ['101,143,98,143,95,139,95,131,97,129,100,129,101,13
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 71, 'x1': 125, 'y0': 36, 'y1': 95, 'score': 0.95296955, 'id': 1947740380, 'points': ['104,92,96,92,93,90,91,90,86,86,83,85,83,84,81,82,80
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 101, 'x1': 167, 'y0': 38, 'y1': 127, 'score': 0.9508439, 'id': 1947740381, 'points': ['154,117,152,115,152,112,150,110,148,106,148,104,14
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 249, 'x1': 400, 'y0': 219, 'y1': 316, 'score': 0.8792459, 'id': 1947740382, 'points': ['395,313,390,313,386,311,384,312,381,312,376,309,3
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 540, 'x1': 625, 'y0': 78, 'y1': 221, 'score': 0.87864035, 'id': 1947740383, 'points': ['567,127,566,127,565,126,564,109,562,106,560,106,5 surface aoutside conditional crop
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 547, 'x1': 640, 'y0': 79, 'y1': 129, 'score': 0.8165246, 'id': 1947740384, 'points': ['630,96,627,96,627,94,628,92,629,92,631,94,631,95', surface aoutside conditional crop
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 360, 'x1': 434, 'y0': 62, 'y1': 116, 'score': 0.74684095, 'id': 1947740385, 'points': ['415,103,413,103,411,101,408,101,405,99,403,99,401 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 302, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.7406652, 'id': 1947740386, 'points': ['442,401,372,401,372,397,370,395,369,392,366,390,3
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 53, 'x1': 85, 'y0': 75, 'y1': 182, 'score': 0.73015845, 'id': 1947740387, 'points': ['70,147,68,145,65,139,65,137,62,132,61,128,57,126,5
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875717, 'type': 631, 'x0': 477, 'x1': 510, 'y0': 220, 'y1': 243, 'score': 0.69028217, 'id': 1947740388, 'points': ['501,241,493,241,489,239,488,237,487,237,480,232
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 61, 'x1': 115, 'y0': 42, 'y1': 188, 'score': 0.6900027, 'id': 1947740389, 'points': ['92,47,91,45,92,44,96,45,94,45', '73,141,73,136,72,1 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 309, 'x1': 326, 'y0': 382, 'y1': 404, 'score': 0.6633776, 'id': 1947740390, 'points': ['309,383,309,382,311,382', '325,385,324,383,319,3
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 427, 'x1': 553, 'y0': 258, 'y1': 315, 'score': 0.6446218, 'id': 1947740391, 'points': ['531,284,526,284,525,283,525,281,523,279,522,280,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 144, 'x1': 267, 'y0': 181, 'y1': 307, 'score': 0.63958377, 'id': 1947740392, 'points': ['212,251,209,251,208,250,203,251,201,250,201,249
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 285, 'x1': 433, 'y0': 343, 'y1': 377, 'score': 0.61493844, 'id': 1947740393, 'points': ['431,376,286,376,285,375,285,368,286,367,286,362
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 146, 'x1': 287, 'y0': 140, 'y1': 311, 'score': 0.54784286, 'id': 1947740394, 'points': ['234,254,227,254,221,251,219,248,215,253,212,253
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 141, 'y1': 245, 'score': 0.46262404, 'id': 1947740395, 'points': ['603,176,599,173,595,176,593,176,590,174,589,174 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 495920967, 'type': 631, 'x0': 202, 'x1': 524, 'y0': 112, 'y1': 333, 'score': 0.45109355, 'id': 1947740396, 'points': ['483,289,483,286,482,285,482,283,480,279,480,274,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 433, 'x1': 558, 'y0': 248, 'y1': 286, 'score': 0.44133398, 'id': 1947740397, 'points': ['492,272,474,272,473,271,468,271,465,269,460,269
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 535, 'x1': 630, 'y0': 138, 'y1': 231, 'score': 0.42747068, 'id': 1947740398, 'points': ['590,171,589,170,585,170,584,171,581,169,579,169 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 399, 'x1': 569, 'y0': 68, 'y1': 251, 'score': 0.41876298, 'id': 1947740399, 'points': [], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', '
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 420, 'x1': 552, 'y0': 244, 'y1': 293, 'score': 0.35962066, 'id': 1947740400, 'points': ['474,289,453,289,452,288,439,288,437,286,431,286,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 301, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.740756, 'id': 3140491551, 'points': ['442,401,371,401,371,397,366,390,365,386,356,386,35
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 140, 'y1': 245, 'score': 0.4627206, 'id': 3140491552, 'points': ['595,176,593,176,589,173,586,176,583,176,580,174, surface aoutside conditional crop

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.34096455574035645
time spend to save output : 6.532669067382812e-05
total time spend for step 1 : 0.3410298824310303

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {946711423: ([(946711423, 624624117, 631, 226, 569, 252, 425, 0.99812776, 1947740368, ['395,419,341,419,340,418,316,418,315,417,306,417,305,416,293,415,290,413,284,412,283,411,280,411,272,407,264,405,258,400,254,398,250,394,244,391,242,389,242,386,239,380,240,368,239,367,239,347,238,346,238,331,237,330,237,327,238,326,237,314,239,311,239,308,237,304,238,302,243,298,244,296,244,292,246,291,250,291,251,290,259,290,260,289,264,289,265,288,269,288,271,290,273,294,278,299,280,300,285,300,286,301,293,301,294,302,302,304,305,307,309,308,312,310,314,310,317,312,335,312,336,313,343,313,344,314,370,314,371,315,381,315,382,314,389,313,393,311,405,309,406,308,408,308,412,306,414,304,417,304,421,307,426,308,427,309,433,309,434,310,464,309,467,306,471,304,476,304,477,303,489,303,490,302,494,302,495,301,500,301,501,300,515,300,516,299,519,298,522,292,525,290,533,290,534,291,540,291,541,290,543,290,547,288,550,285,550,285,552,289,552,291,553,292,553,313,552,314,552,324,550,328,550,333,549,334,549,336,544,346,543,353,539,361,532,368,531,368,527,372,519,374,509,379,503,384,499,385,498,386,496,386,492,388,490,390,486,392,484,392,479,396,475,397,474,398,472,398,471,399,469,399,462,403,460,403,459,404,457,404,456,405,454,405,450,407,448,407,443,410,425,413,424,414,422,414,416,417,404,417,403,418,396,418']), (946711423, 492689227, 631, 162, 245, 233, 396, 0.99702626, 1947740369, ['215,393,206,393,202,390,200,390,192,383,191,380,187,375,184,369,184,367,180,360,180,358,179,357,177,349,175,347,174,339,172,336,171,330,170,329,169,324,168,323,168,313,167,312,167,304,166,303,166,298,165,297,165,288,164,287,165,286,165,272,166,271,166,268,167,267,167,263,168,262,169,254,173,249,177,247,178,247,181,251,184,251,184,252,187,255,189,255,193,259,193,261,195,263,195,264,201,270,203,278,207,282,208,289,211,293,211,296,213,299,214,304,215,305,216,312,219,316,219,319,220,320,220,325,222,329,222,335,223,336,223,338,225,342,225,349,226,350,226,359,227,360,227,366,228,367,228,371,231,375,231,382,227,385,226,388,225,389,223,388,219,392,216,392']), (946711423, 492654799, 631, 96, 172, 39, 261, 0.9928518, 1947740370, ['143,252,143,249,141,246,140,246,138,248,138,251,137,250,137,248,135,246,134,246,132,248,127,244,124,244,122,241,122,236,121,235,121,232,118,229,117,225,116,224,116,212,113,209,115,207,116,201,111,194,110,184,106,178,107,154,108,152,112,148,113,144,112,143,112,138,110,136,108,136,107,135,103,128,103,124,102,123,102,121,103,120,103,118,106,115,106,106,107,105,110,104,113,101,117,93,117,71,114,65,116,61,116,59,117,58,117,55,118,54,119,49,122,45,122,44,124,42,150,42,151,43,153,43,153,47,152,48,152,50,154,52,155,56,156,57,156,85,155,86,155,95,154,96,154,98,155,99,155,105,156,106,155,107,155,116,157,120,159,121,159,123,156,127,156,134,157,135,157,138,156,139,156,141,154,145,152,147,150,151,149,159,148,160,148,164,149,165,149,174,148,175,148,197,149,198,149,215,150,216,150,241,149,242,149,245,148,247,146,245,144,247', '122,147,121,138,120,141,119,142,119,144,118,145,121,148']), (946711423, 2096875719, 631, 468, 555, 292, 365, 0.9830025, 1947740372, ['491,350,489,350,488,349,487,350,483,350,480,348,480,341,482,339,482,337,485,334,487,334,491,330,494,330,495,328,498,326,501,326,503,324,507,325,509,323,514,321,516,319,518,321,520,321,521,319,522,319,524,321,527,321,530,317,530,315,531,314,535,313,540,309,543,310,544,311,542,313,542,314,544,316,541,318,541,322,536,322,535,323,533,323,532,322,528,322,527,321,524,321,522,323,518,322,516,324,517,327,516,328,512,327,510,329,512,332,513,332,515,330,516,331,516,333,514,332,511,333,511,336,514,337,516,336,516,339,515,339,513,338,511,340,512,341,512,342,510,343,507,343,502,347,500,347,497,349,492,349', '514,325,515,324,513,322,512,322,511,325,512,326', '522,327,521,327,521,326,522,325']), (946711423, 599722655, 631, 176, 535, 138, 264, 0.9818268, 1947740373, ['453,253,413,253,412,252,387,252,386,250,386,248,383,246,379,245,376,243,361,243,361,240,362,239,359,238,358,237,356,237,355,236,352,236,351,235,333,235,332,234,329,234,329,233,331,231,331,229,329,228,328,224,330,222,330,221,324,218,308,219,307,218,302,218,298,216,288,217,287,218,285,218,283,220,283,221,287,224,295,225,295,225,294,226,289,226,288,227,283,227,282,228,273,228,272,229,271,228,259,228,258,227,254,227,253,226,247,225,247,225,251,221,248,218,243,216,247,213,248,213,249,212,248,211,246,211,245,210,241,210,240,209,237,209,236,208,231,207,230,206,228,202,224,201,223,200,221,200,220,199,214,198,213,195,211,193,208,193,203,189,203,184,201,181,201,176,198,171,199,170,199,158,203,154,205,153,205,151,206,149,209,149,210,148,225,148,226,147,283,147,284,148,287,148,288,147,305,147,306,148,312,148,313,147,354,147,355,146,428,146,429,147,433,147,434,148,437,148,438,149,451,149,457,156,459,162,462,165,464,166,471,166,472,165,477,165,480,167,480,171,486,175,488,175,489,176,502,176,503,178,503,180,509,185,509,189,512,193,512,199,513,200,513,203,514,204,514,210,513,211,514,217,512,221,513,222,513,225,510,229,510,235,507,237,504,238,502,243,490,243,489,244,485,244,484,245,480,245,479,246,463,246,462,247,460,247,458,249,457,252,454,252', '528,212,528,207,526,206,524,203,526,203,527,202,528,202', '299,215,302,212,299,211,298,210,291,210,290,211,281,212,286,215,290,215,291,216', '375,242,376,240,375,238,363,239,368,242,371,242,372,243']), (946711423, 492844413, 631, 89, 163, 93, 144, 0.9772748, 1947740375, ['159,142,153,141,151,139,148,138,145,135,141,133,139,133,138,132,131,132,130,131,125,131,124,130,121,130,120,129,116,129,115,128,112,128,108,126,106,126,100,123,98,121,94,113,94,104,97,101,103,98,105,98,106,97,110,97,111,96,116,96,117,95,132,95,133,96,139,97,141,99,144,100,149,105,150,107,154,108,155,113,157,115,158,115,160,118,160,120,161,121,161,133,160,134,160,140']), (946711423, 2096875709, 631, 185, 431, 39, 136, 0.97171515, 1947740377, ['331,134,287,134,286,133,284,133,283,134,272,134,271,133,264,133,263,134,258,134,257,133,254,133,253,132,236,132,235,131,225,131,224,132,223,131,213,131,212,130,208,130,207,129,204,129,203,128,199,127,193,121,192,117,189,113,189,110,188,109,187,93,186,92,187,91,187,89,186,88,186,65,185,64,186,63,186,61,185,60,185,48,186,47,186,42,187,40,232,40,233,41,248,41,249,42,281,43,282,44,290,44,291,45,300,45,301,46,308,46,309,47,314,47,315,48,322,49,328,53,334,54,336,56,339,57,344,62,349,64,351,66,353,67,356,67,358,69,359,72,363,76,367,78,369,80,379,91,380,93,383,94,390,100,393,101,395,103,396,106,399,109,402,110,406,115,408,115,410,117,410,120,412,123,411,127,409,129,399,129,398,130,395,130,394,131,378,131,377,132,368,132,367,131,346,131,345,132,342,132,341,133,332,133']), (946711423, 2096875722, 631, 198, 395, 118, 142, 0.9699756, 1947740378, ['328,137,251,137,250,136,249,137,241,137,240,136,219,136,218,135,213,135,212,134,206,133,205,132,201,131,200,130,200,122,201,121,205,121,206,122,222,122,226,124,239,124,240,125,369,125,370,124,371,125,389,125,391,127,391,133,390,134,386,134,385,135,380,135,379,134,375,134,374,135,341,135,340,136,329,136']), (946711423, 499500794, 631, 93, 107, 127, 146, 0.9574813, 1947740379, ['101,143,98,143,95,139,95,131,97,129,100,129,101,133,102,134,102,136,103,137,103,140']), (946711423, 492925064, 631, 71, 125, 36, 95, 0.95296955, 1947740380, ['104,92,96,92,93,90,91,90,86,86,83,85,83,84,81,82,80,82,75,77,75,75,74,74,74,66,75,65,75,62,77,60,77,58,80,55,80,54,83,51,83,50,88,45,94,44,95,43,99,43,100,42,113,42,117,45,117,47,116,48,116,51,115,52,114,59,113,60,112,65,111,66,111,69,110,70,110,75,109,76,109,83,108,84,108,86,109,87,108,89']), (946711423, 492925064, 631, 101, 167, 38, 127, 0.9508439, 1947740381, ['154,117,152,115,152,112,150,110,148,106,148,104,145,101,143,100,138,100,137,99,135,99,133,95,131,95,126,93,126,91,128,88,128,83,129,82,129,70,127,68,127,66,128,65,125,61,127,59,127,56,129,52,129,49,130,47,135,42,144,42,148,45,151,49,151,60,152,61,152,75,153,76,153,80,155,83,155,87,156,88,156,105,155,106,156,107,156,110,154,112,156,116', '109,100,108,100,107,99,109,97']), (946711423, 492624020, 631, 249, 400, 219, 316, 0.8792459, 1947740382, ['395,313,390,313,386,311,384,312,381,312,376,309,358,308,357,307,354,307,353,306,350,306,349,307,345,305,343,303,341,304,337,304,334,302,325,302,324,301,315,300,313,298,313,297,310,295,304,295,300,293,295,293,291,288,289,287,283,287,281,285,281,283,278,280,274,280,272,279,272,276,270,273,270,270,269,268,266,265,265,265,264,264,264,262,261,260,260,258,260,256,261,255,259,252,259,248,258,246,255,244,256,241,252,239,251,238,251,226,265,226,266,227,268,227,272,232,276,232,277,233,279,233,281,234,283,237,285,238,290,239,293,241,296,241,304,246,312,247,316,251,318,252,320,252,326,255,328,255,337,260,342,260,343,261,345,261,349,264,351,264,355,266,357,268,364,271,366,273,370,275,374,275,376,276,377,279,379,281,383,282,384,283,386,283,387,286,390,289,390,290,394,294,396,294,398,296,398,308,397,309,397,311']), (946711423, 503548896, 631, 302, 540, 339, 403, 0.7406652, 1947740386, ['442,401,372,401,372,397,370,395,369,392,366,390,367,389,366,386,357,386,354,384,350,384,349,383,320,383,319,382,320,378,318,376,318,374,314,370,309,370,308,369,306,369,305,363,305,357,306,356,306,353,307,353,308,354,313,354,314,355,315,354,320,354,321,353,331,353,332,354,335,354,336,355,339,355,340,356,379,356,380,357,406,357,407,356,409,356,410,357,474,357,475,356,482,356,484,357,485,356,488,356,493,353,501,354,502,353,506,353,507,352,517,352,518,351,522,351,525,347,527,346,530,347,530,349,533,351,530,355,528,355,527,356,515,356,509,359,508,361,505,362,503,365,497,368,494,372,490,373,489,374,492,376,495,376,493,377,488,378,490,380,495,380,497,381,497,381,487,382,485,385,476,387,469,392,466,392,465,393,460,393,456,396,453,397,451,399,443,400', '519,353,518,352,517,353,518,354']), (946711423, 2106233860, 631, 53, 85, 75, 182, 0.73015845, 1947740387, ['70,147,68,145,65,139,65,137,62,132,61,128,57,126,56,124,56,121,54,119,54,110,56,108,56,103,59,100,60,101,61,100,61,96,63,93,63,89,66,84,65,83,65,80,66,78,68,78,68,79,70,80,70,83,74,87,74,90,75,91,75,100,77,102,77,105,75,106,75,125,76,126,77,125,77,125,77,128,76,129,77,131,77,136,75,139,75,143,78,145,76,146,71,146', '61,107,60,106,59,107,60,108', '77,134,76,131,75,134,76,135']), (946711423, 2096875717, 631, 477, 510, 220, 243, 0.69028217, 1947740388, ['501,241,493,241,489,239,488,237,487,237,480,232,479,230,479,226,484,222,487,222,488,223,492,224,496,228,497,228,497,229,502,234,502,235,504,236,504,240,502,240']), (946711423, 2096875712, 631, 309, 326, 382, 404, 0.6633776, 1947740390, ['309,383,309,382,311,382', '325,385,324,383,319,383,318,382,325,382', '320,400,311,400,309,398,309,385,310,386,311,385,315,385,316,384,318,384,319,385,322,385,325,387,325,398,323,398']), (946711423, 2096875719, 631, 427, 553, 258, 315, 0.6446218, 1947740391, ['531,284,526,284,525,283,525,281,523,279,522,280,519,281,521,282,521,283,519,284,518,283,519,281,515,279,516,277,515,276,513,276,512,277,513,279,511,280,507,279,505,276,504,279,497,279,496,278,495,279,485,279,484,280,480,280,479,281,481,283,482,283,482,283,469,283,468,284,438,284,436,283,440,279,446,279,447,278,456,278,458,276,457,275,457,275,467,275,468,274,490,274,491,273,494,273,496,271,496,269,499,268,501,266,503,265,506,265,510,263,514,263,516,261,520,259,544,259,544,259,543,260,545,262,548,262,550,263,550,276,549,277,547,277,540,282,538,282,537,283,532,283']), (946711423, 2106233861, 631, 144, 267, 181, 307, 0.63958377, 1947740392, ['212,251,209,251,208,250,203,251,201,250,201,249,195,243,189,242,188,241,185,241,184,240,182,236,180,236,179,235,173,235,172,234,170,235,164,235,163,234,163,232,162,231,163,217,166,217,168,218,170,215,171,210,172,209,173,209,176,212,178,210,178,208,181,203,186,203,188,201,193,201,194,202,195,201,201,201,202,202,204,202,205,201,209,201,210,202,212,202,215,200,217,200,220,202,221,201,227,201,231,205,231,206,234,209,235,209,235,210,238,213,238,224,234,228,235,232,234,233,228,234,225,237,224,241,222,242,216,242,209,246,211,248,212,248,213,250', '221,228,220,227,219,228,220,229', '224,238,224,237,221,235,217,237,219,239']), (946711423, 2096875712, 631, 285, 433, 343, 377, 0.61493844, 1947740393, ['431,376,286,376,285,375,285,368,286,367,286,362,287,361,287,359,291,359,297,362,306,363,307,364,312,364,313,365,322,366,323,367,331,366,332,368,334,368,335,369,338,368,337,366,336,366,337,365,336,364,327,364,325,361,319,361,317,357,317,356,318,355,325,355,326,353,331,353,333,351,332,350,330,350,328,348,326,348,325,347,319,347,315,345,306,345,305,344,297,344,299,344,300,343,431,343,432,344,432,353,431,354,431,358,430,359,430,365,427,365,425,363,424,363,422,364,421,366,418,366,413,369,404,370,409,371,409,371,399,371,398,372,395,373,419,374,420,373,426,372,428,370,428,367,429,367,430,368,429,369,430,370,430,373,431,374', '381,373,378,372,377,371,356,371,356,371,359,370,347,369,345,367,343,367,342,368,343,369,341,370,354,371,354,371,352,372,353,373,359,373,360,374']), (946711423, 2106233860, 631, 146, 287, 140, 311, 0.54784286, 1947740394, ['234,254,227,254,221,251,219,248,215,253,212,253,210,252,206,247,203,247,198,243,197,243,194,239,189,238,186,236,182,236,181,235,167,235,164,233,164,228,159,227,158,226,158,219,159,218,159,213,162,207,162,205,169,192,169,186,170,185,172,185,177,179,175,175,173,173,177,171,181,171,182,170,184,170,187,167,187,164,188,163,188,161,199,161,202,164,205,165,207,167,209,167,212,165,215,165,216,168,218,170,219,170,221,168,221,164,220,163,220,161,222,161,223,160,230,160,231,159,242,159,244,158,247,161,248,161,247,162,246,168,248,172,248,174,253,176,254,180,253,182,249,182,247,185,249,188,253,188,254,189,254,194,249,194,247,196,247,198,249,200,252,200,253,199,255,202,255,205,254,206,254,208,250,207,249,206,246,209,246,210,249,214,252,212,254,212,254,214,255,215,255,217,254,218,254,221,252,221,249,219,247,221,247,225,249,228,250,228,252,226,253,224,253,224,253,229,252,229,251,228,249,228,247,230,247,233,246,234,246,237,245,238,245,240,243,244,243,247,239,251,237,251', '230,167,229,166,227,167,228,168']), (946711423, 495920967, 631, 202, 524, 112, 333, 0.45109355, 1947740396, ['483,289,483,286,482,285,482,283,480,279,480,274,476,270,472,268,465,268,464,269,459,269,458,268,454,268,453,267,437,267,436,268,428,268,427,269,418,269,417,270,414,270,410,266,410,265,416,262,418,262,421,260,423,260,425,259,426,257,424,255,422,255,419,253,417,253,416,252,412,251,410,250,410,249,412,249,413,248,415,248,416,247,422,246,428,243,429,242,428,241,424,240,423,239,420,239,419,238,390,238,389,237,386,237,385,236,369,236,368,235,363,234,363,233,364,232,364,230,366,226,365,225,357,220,344,220,341,218,339,218,339,218,342,212,342,210,336,207,327,207,326,206,319,206,318,205,314,205,313,204,297,204,291,207,288,210,288,212,291,217,290,220,288,222,284,224,282,224,278,227,273,228,271,230,270,235,265,239,262,236,261,232,263,228,266,226,261,224,256,219,256,210,249,206,242,205,237,202,234,195,226,186,227,184,227,180,228,179,225,175,225,174,222,171,225,165,227,163,229,158,230,157,232,156,235,156,236,155,239,155,240,154,245,154,246,155,254,155,255,156,258,156,259,157,268,157,269,156,272,156,273,155,280,155,281,156,298,156,300,155,301,156,307,156,308,157,311,157,318,152,322,151,323,150,333,150,338,146,339,146,342,143,343,143,346,140,357,140,362,136,366,134,368,134,369,133,373,133,374,132,377,132,378,131,388,131,389,130,410,130,411,131,417,131,428,140,432,142,434,142,435,143,443,145,446,147,448,147,451,154,453,156,457,158,462,159,463,160,466,160,467,161,472,162,474,163,474,164,481,171,489,175,491,175,492,176,494,176,495,177,499,178,500,179,502,184,507,189,517,194,518,195,514,201,514,203,518,207,519,209,518,214,515,218,517,227,515,229,515,231,514,232,515,236,518,239,518,252,519,253,519,263,518,264,518,267,517,269,514,272,512,273,512,274,506,280,500,277,498,273,496,272,493,272,491,274,491,278,490,279,490,281', '312,179,311,178,308,179,309,180', '268,269,264,269,259,266,259,262,261,258,261,250,265,245,269,250,270,257,274,260,278,265,275,267,269,268', '414,281,401,281,414,281']), (946711423, 2096875722, 631, 433, 558, 248, 286, 0.44133398, 1947740397, ['492,272,474,272,473,271,468,271,465,269,460,269,460,268,465,266,467,266,468,265,470,265,471,264,475,264,476,263,479,263,480,262,486,262,487,261,491,261,492,260,495,260,496,259,502,259,506,257,510,257,514,255,517,255,518,254,530,253,531,252,535,252,536,251,538,251,539,252,543,252,544,253,547,253,549,251,553,251,555,253,555,267,552,270,550,270,550,269,548,267,547,267,547,267,548,266,547,265,545,266,540,266,539,264,530,264,529,263,524,263,519,266,513,266,510,268,507,268,506,269,499,270,498,271,493,271', '438,279,435,279,435,273,436,272,448,271,449,272,448,274,443,274,440,277,440,278']), (946711423, 492654799, 631, 399, 569, 68, 251, 0.41876298, 1947740399, []), (946711423, 492624020, 631, 420, 552, 244, 293, 0.35962066, 1947740400, ['474,289,453,289,452,288,439,288,437,286,431,286,427,284,423,284,422,283,422,275,427,275,428,273,430,272,435,272,436,271,438,271,442,269,447,269,450,267,454,267,460,264,464,264,467,262,483,261,484,260,488,260,489,259,494,259,495,258,502,258,503,257,505,257,509,255,512,255,516,252,520,252,521,251,526,250,530,248,534,248,535,247,546,247,547,248,549,248,549,250,550,251,550,266,551,267,551,275,550,276,550,278,549,279,549,281,537,282,535,284,528,284,527,285,504,285,503,286,495,286,492,288,488,287,487,288,475,288']), (946711423, 503548896, 631, 301, 540, 339, 403, 0.740756, 3140491551, ['442,401,371,401,371,397,366,390,365,386,356,386,353,384,348,383,319,383,319,378,314,370,310,370,305,368,304,357,305,353,330,353,339,356,378,356,379,357,474,357,475,356,488,356,493,353,501,354,507,352,517,352,522,351,527,346,530,347,533,351,530,355,527,356,515,356,505,362,503,365,497,368,494,372,489,374,492,376,488,378,490,380,495,380,487,382,485,385,476,387,469,392,461,393,456,395,451,399,447,399', '519,353,518,352,517,353,518,354'])],)}
test detection filter by crop is a success !

############################### TEST detection_filter_by_classif  ################################
t
SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=946711423 AND `type`=816
DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3649183076,3649183075,3649183074,3649183083,3649183082,3649183081,3649183080,3649183079,3649183088,3649183091,3649183077,3649183078,3649183087,3649183086,3649183092,3649183093,3649183094,3649183096,3649183084,3649183090,3649183089,3649183095,3649183085) 
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=672

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=672
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 672
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=672
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : detection_filter_by_classif
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (946711423) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.004075050354003906
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:detection_filter_by_classif
Sun Feb  2 03:40:57 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
beginning of step detection filter with classification results
 param_json : {'input_type': 631, 'output_type': 816, 'condition_type': 872, 'crops_ok': {'CAR_DOCUMENT.*': {}, 'CAR_INTERIEUR.*': {}, 'CAR_EXTERIEUR_angle_avant_droit.*': {'Retroviseur': 2, 'Roue': 2, 'Capot': 1, 'Pare-brise': 1, 'vitre': 10, 'phare': 2, 'Feu-antibrouillard': 2, 'poignee': 2, 'porte': 2, 'calandre': 1, 'logo-marque': 1, 'Plaque-immatriculation': 1, 'Essuie-glace': 1, 'pare-choc': 1, 'toit': 1, 'logo-roue': 1, 'aile-avant': 1}}, 'separation': {'CAR_EXTERIEUR_avant.*': {'pare-choc': ['pare-chocs-avant'], 'phare': ['phare-gauche', 'a-droite-de', 'phare-droit']}, 'CAR_EXTERIEUR_angle_avant_droit.*': {'pare-choc': ['pare-chocs-avant'], 'phare': ['phare-droite', 'a-gauche-de', 'phare-gauche'], 'porte': ['porte-avant', 'a-droite-de', 'porte-arriere']}}}
conditional_crop_by_classif_copy
select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (946711423) and type=872
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 946711423) and `type` in (631) 
Loaded 35 chid ids of type : 631
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
 treating photo 946711423
select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (946711423) and type=872
  list of crops kept {'retroviseur': 2, 'roue': 2, 'capot': 1, 'pare-brise': 1, 'vitre': 10, 'phare': 2, 'feu-antibrouillard': 2, 'poignee': 2, 'porte': 2, 'calandre': 1, 'logo-marque': 1, 'plaque-immatriculation': 1, 'essuie-glace': 1, 'pare-choc': 1, 'toit': 1, 'logo-roue': 1, 'aile-avant': 1} for hahstag car_exterieur_angle_avant_droit_merge__port_551052
   crop not duplicated for hashtag aile-arriere : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 144, 'x1': 267, 'y0': 181, 'y1': 307, 'score': 0.63958377, 'id': 1947740392, 'points': ['212,251,209,251,208,250,203,251,201,250,201,249
   crop not duplicated for hashtag coffre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 495920967, 'type': 631, 'x0': 202, 'x1': 524, 'y0': 112, 'y1': 333, 'score': 0.45109355, 'id': 1947740396, 'points': ['483,289,483,286,482,285,482,283,480,279,480,274,
   crop not duplicated for hashtag aile-arriere : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 535, 'x1': 630, 'y0': 138, 'y1': 231, 'score': 0.42747068, 'id': 1947740398, 'points': ['590,171,589,170,585,170,584,171,581,169,579,169
   crop duplicated for hashtag retroviseur : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492844413, 'type': 631, 'x0': 89, 'x1': 163, 'y0': 93, 'y1': 144, 'score': 0.9772748, 'id': 1947740375, 'points': ['159,142,153,141,151,139,148,138,145,135,141,133,139
   crop duplicated for hashtag roue : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 162, 'x1': 245, 'y0': 233, 'y1': 396, 'score': 0.99702626, 'id': 1947740369, 'points': ['215,393,206,393,202,390,200,390,192,383,191,380,
   crop duplicated for hashtag roue : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 545, 'x1': 612, 'y0': 186, 'y1': 276, 'score': 0.9876676, 'id': 1947740371, 'points': ['584,267,583,266,578,266,574,262,574,259,573,258,5
   crop not duplicated for hashtag roue : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 53, 'x1': 87, 'y0': 127, 'y1': 212, 'score': 0.9786105, 'id': 1947740374, 'points': ['74,201,69,201,67,199,66,199,65,198,62,192,62,190,61
   crop duplicated for hashtag capot : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 599722655, 'type': 631, 'x0': 176, 'x1': 535, 'y0': 138, 'y1': 264, 'score': 0.9818268, 'id': 1947740373, 'points': ['453,253,413,253,412,252,387,252,386,250,386,248,3
   crop duplicated for hashtag pare-brise : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875709, 'type': 631, 'x0': 185, 'x1': 431, 'y0': 39, 'y1': 136, 'score': 0.97171515, 'id': 1947740377, 'points': ['331,134,287,134,286,133,284,133,283,134,272,134,
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 418, 'x1': 522, 'y0': 69, 'y1': 136, 'score': 0.97407305, 'id': 1947740376, 'points': ['510,121,507,121,505,119,501,120,500,119,500,113,4
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 71, 'x1': 125, 'y0': 36, 'y1': 95, 'score': 0.95296955, 'id': 1947740380, 'points': ['104,92,96,92,93,90,91,90,86,86,83,85,83,84,81,82,80
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 101, 'x1': 167, 'y0': 38, 'y1': 127, 'score': 0.9508439, 'id': 1947740381, 'points': ['154,117,152,115,152,112,150,110,148,106,148,104,14
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 547, 'x1': 640, 'y0': 79, 'y1': 129, 'score': 0.8165246, 'id': 1947740384, 'points': ['630,96,627,96,627,94,628,92,629,92,631,94,631,95',
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 360, 'x1': 434, 'y0': 62, 'y1': 116, 'score': 0.74684095, 'id': 1947740385, 'points': ['415,103,413,103,411,101,408,101,405,99,403,99,401
   crop duplicated for hashtag phare : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 249, 'x1': 400, 'y0': 219, 'y1': 316, 'score': 0.8792459, 'id': 1947740382, 'points': ['395,313,390,313,386,311,384,312,381,312,376,309,3
   crop duplicated for hashtag phare : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 420, 'x1': 552, 'y0': 244, 'y1': 293, 'score': 0.35962066, 'id': 1947740400, 'points': ['474,289,453,289,452,288,439,288,437,286,431,286,
   crop duplicated for hashtag feu-antibrouillard : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 309, 'x1': 326, 'y0': 382, 'y1': 404, 'score': 0.6633776, 'id': 1947740390, 'points': ['309,383,309,382,311,382', '325,385,324,383,319,3
   crop duplicated for hashtag feu-antibrouillard : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 285, 'x1': 433, 'y0': 343, 'y1': 377, 'score': 0.61493844, 'id': 1947740393, 'points': ['431,376,286,376,285,375,285,368,286,367,286,362
   crop duplicated for hashtag poignee : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 499500794, 'type': 631, 'x0': 93, 'x1': 107, 'y0': 127, 'y1': 146, 'score': 0.9574813, 'id': 1947740379, 'points': ['101,143,98,143,95,139,95,131,97,129,100,129,101,13
   crop duplicated for hashtag porte : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 96, 'x1': 172, 'y0': 39, 'y1': 261, 'score': 0.9928518, 'id': 1947740370, 'points': ['143,252,143,249,141,246,140,246,138,248,138,251,137
   crop duplicated for hashtag porte : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 540, 'x1': 625, 'y0': 78, 'y1': 221, 'score': 0.87864035, 'id': 1947740383, 'points': ['567,127,566,127,565,126,564,109,562,106,560,106,5
   crop not duplicated for hashtag porte : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 61, 'x1': 115, 'y0': 42, 'y1': 188, 'score': 0.6900027, 'id': 1947740389, 'points': ['92,47,91,45,92,44,96,45,94,45', '73,141,73,136,72,1
   crop not duplicated for hashtag porte : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 399, 'x1': 569, 'y0': 68, 'y1': 251, 'score': 0.41876298, 'id': 1947740399, 'points': [], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', '
   crop duplicated for hashtag calandre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 301, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.740756, 'id': 3140491551, 'points': ['442,401,371,401,371,397,366,390,365,386,356,386,35
   crop not duplicated for hashtag calandre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 302, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.7406652, 'id': 1947740386, 'points': ['442,401,372,401,372,397,370,395,369,392,366,390,3
   crop duplicated for hashtag logo-marque : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875717, 'type': 631, 'x0': 477, 'x1': 510, 'y0': 220, 'y1': 243, 'score': 0.69028217, 'id': 1947740388, 'points': ['501,241,493,241,489,239,488,237,487,237,480,232
   crop duplicated for hashtag plaque-immatriculation : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 468, 'x1': 555, 'y0': 292, 'y1': 365, 'score': 0.9830025, 'id': 1947740372, 'points': ['491,350,489,350,488,349,487,350,483,350,480,348,
   crop not duplicated for hashtag plaque-immatriculation : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 427, 'x1': 553, 'y0': 258, 'y1': 315, 'score': 0.6446218, 'id': 1947740391, 'points': ['531,284,526,284,525,283,525,281,523,279,522,280,
   crop duplicated for hashtag essuie-glace : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 198, 'x1': 395, 'y0': 118, 'y1': 142, 'score': 0.9699756, 'id': 1947740378, 'points': ['328,137,251,137,250,136,249,137,241,137,240,136,
   crop not duplicated for hashtag essuie-glace : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 433, 'x1': 558, 'y0': 248, 'y1': 286, 'score': 0.44133398, 'id': 1947740397, 'points': ['492,272,474,272,473,271,468,271,465,269,460,269
   crop duplicated for hashtag pare-choc : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 624624117, 'type': 631, 'x0': 226, 'x1': 569, 'y0': 252, 'y1': 425, 'score': 0.99812776, 'id': 1947740368, 'points': ['395,419,341,419,340,418,316,418,315,417,306,417,
   crop duplicated for hashtag aile-avant : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 53, 'x1': 85, 'y0': 75, 'y1': 182, 'score': 0.73015845, 'id': 1947740387, 'points': ['70,147,68,145,65,139,65,137,62,132,61,128,57,126,5
   crop not duplicated for hashtag aile-avant : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 146, 'x1': 287, 'y0': 140, 'y1': 311, 'score': 0.54784286, 'id': 1947740394, 'points': ['234,254,227,254,221,251,219,248,215,253,212,253
   crop not duplicated for hashtag aile-avant : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 140, 'y1': 245, 'score': 0.4627206, 'id': 3140491552, 'points': ['595,176,593,176,589,173,586,176,583,176,580,174,
   crop not duplicated for hashtag aile-avant : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 141, 'y1': 245, 'score': 0.46262404, 'id': 1947740395, 'points': ['603,176,599,173,595,176,593,176,590,174,589,174
  list of crops kept {'pare-choc': ('pare-chocs-avant',), 'phare': ('phare-droite', 'a-gauche-de', 'phare-gauche'), 'porte': ('porte-avant', 'a-droite-de', 'porte-arriere')} for hahstag car_exterieur_angle_avant_droit_merge__port_551052
batch 1
Loaded 0 chid ids of type : 0
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 23 chid ids of type : 816
INSERT IGNORE INTO MTRPhoto.crop_polygon_points (`crop_hashtag_id`, `points`) VALUES (%s, %s)
Number RLEs to save : 1600
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649464614', '117', '95', '16')
...
 last line : ('3649464636', '70', '147', '1')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 11.053165435791016
time spend to save output : 0.009822845458984375
total time spend for step 1 : 11.06298828125

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
test detection filter by classif is a success !

############################### TEST blur_detection  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1243

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1243
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1243
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1243
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : blur_detection
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (930729675) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 930729675
download finish for photo 930729675
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.1444108486175537
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:blur_detection
Sun Feb  2 03:41:08 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464068_2241491_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg': 930729675}
map_photo_id_path_extension : {930729675: {'path': 'temp/1738464068_2241491_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
inside step blur_detection
methode: ratio et variance
treat image : temp/1738464068_2241491_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg
resize: (600, 800)
930729675 12.961859636534896
score_blur_detection : {930729675: [(930729675, 12.961859636534896, 492688767)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.19924139976501465
time spend to save output : 5.53131103515625e-05
total time spend for step 1 : 0.1992967128753662

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {930729675: [(930729675, 12.961859636534896, 492688767)]}
{930729675: [(930729675, 12.961859636534896, 492688767)]}

############################### TEST detect_point_224x224  ################################
test_detect_point_224x224
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1908

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1908
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1908
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1908
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 4589 thcl is not linked in the step_by_step architecture !
WARNING : step 4590 argmax is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : thcl, argmax
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (987515175,987515176,987515177,987515178,987515179,987515180,987515181,987515182,987515183,987515184,987515185,987515186,987515187,987515188,987515189,987515190,987515192,987515193,987515195,987515196,987515198,987515200,987515201,987515202,987515204,987515205,987515207,987515208,987515209,987515211,987515212,987515213,987515215,987515216,987515217,987515219,987515220,987515222,987515223,987515224,987515226,987515227,987515228,987515230,987515231,987515232,987515233,987515234,987515235,987515236,987515237,987515238,987515239,987515240,987515241,987515242,987515243,987515244,987515245,987515246,987515247,987515248,987515249,987515250) 
 Found this number of photos: 64
##### Call download_photos : nb_thread : 5
begin to download photo : 987515175
begin to download photo : 987515188
begin to download photo : 987515207
begin to download photo : 987515224
begin to download photo : 987515239
download finish for photo 987515188
begin to download photo : 987515189
download finish for photo 987515239
begin to download photo : 987515240
download finish for photo 987515224
begin to download photo : 987515226
download finish for photo 987515175
begin to download photo : 987515176
download finish for photo 987515207
begin to download photo : 987515208
download finish for photo 987515176
begin to download photo : 987515177
download finish for photo 987515189
begin to download photo : 987515190
download finish for photo 987515240
begin to download photo : 987515241
download finish for photo 987515208
begin to download photo : 987515209
download finish for photo 987515190
begin to download photo : 987515192
download finish for photo 987515226
begin to download photo : 987515227
download finish for photo 987515177
begin to download photo : 987515178
download finish for photo 987515241
begin to download photo : 987515242
download finish for photo 987515192
begin to download photo : 987515193
download finish for photo 987515227
begin to download photo : 987515228
download finish for photo 987515209
begin to download photo : 987515211
download finish for photo 987515178
begin to download photo : 987515179
download finish for photo 987515242
begin to download photo : 987515243
download finish for photo 987515193
begin to download photo : 987515195
download finish for photo 987515228
begin to download photo : 987515230
download finish for photo 987515243
begin to download photo : 987515244
download finish for photo 987515211
begin to download photo : 987515212
download finish for photo 987515195
begin to download photo : 987515196
download finish for photo 987515179
begin to download photo : 987515180
download finish for photo 987515196
begin to download photo : 987515198
download finish for photo 987515230
begin to download photo : 987515231
download finish for photo 987515180
begin to download photo : 987515181
download finish for photo 987515212
begin to download photo : 987515213
download finish for photo 987515244
begin to download photo : 987515245
download finish for photo 987515231
begin to download photo : 987515232
download finish for photo 987515181
begin to download photo : 987515182
download finish for photo 987515198
begin to download photo : 987515200
download finish for photo 987515213
begin to download photo : 987515215
download finish for photo 987515245
begin to download photo : 987515246
download finish for photo 987515215
begin to download photo : 987515216
download finish for photo 987515200
begin to download photo : 987515201
download finish for photo 987515232
begin to download photo : 987515233
download finish for photo 987515246
begin to download photo : 987515247
download finish for photo 987515201
begin to download photo : 987515202
download finish for photo 987515182
begin to download photo : 987515183
download finish for photo 987515216
begin to download photo : 987515217
download finish for photo 987515233
begin to download photo : 987515234
download finish for photo 987515217
begin to download photo : 987515219
download finish for photo 987515247
begin to download photo : 987515248
download finish for photo 987515234
begin to download photo : 987515235
download finish for photo 987515202
begin to download photo : 987515204
download finish for photo 987515183
begin to download photo : 987515184
download finish for photo 987515219
begin to download photo : 987515220
download finish for photo 987515235
begin to download photo : 987515236
download finish for photo 987515204
begin to download photo : 987515205
download finish for photo 987515220
begin to download photo : 987515222
download finish for photo 987515248
begin to download photo : 987515249
download finish for photo 987515236
begin to download photo : 987515237
download finish for photo 987515184
begin to download photo : 987515185
download finish for photo 987515205
download finish for photo 987515222
begin to download photo : 987515223
download finish for photo 987515237
begin to download photo : 987515238
download finish for photo 987515249
begin to download photo : 987515250
download finish for photo 987515185
begin to download photo : 987515186
download finish for photo 987515238
download finish for photo 987515223
download finish for photo 987515186
begin to download photo : 987515187
download finish for photo 987515250
download finish for photo 987515187
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 64 ; length of list_pids : 64 ; length of list_args : 64
##### After load_data_input 
time to download the photos : 1.45186185836792
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:thcl
Sun Feb  2 03:41:10 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464068_2241491_987515188_4116f9906657a69bb76c2fda982037b9.jpg': 987515188, 'temp/1738464068_2241491_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg': 987515189, 'temp/1738464068_2241491_987515190_d56932bfc6ba2a8c974c691108755017.jpg': 987515190, 'temp/1738464068_2241491_987515192_b661073b218f5f056833d6af1c617153.jpg': 987515192, 'temp/1738464068_2241491_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg': 987515193, 'temp/1738464068_2241491_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg': 987515195, 'temp/1738464068_2241491_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg': 987515196, 'temp/1738464068_2241491_987515198_599e80f444c876f407e94b533c89360b.jpg': 987515198, 'temp/1738464068_2241491_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg': 987515200, 'temp/1738464068_2241491_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg': 987515201, 'temp/1738464068_2241491_987515202_3314bd90d1404f31b827d8925abf2d62.jpg': 987515202, 'temp/1738464068_2241491_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg': 987515204, 'temp/1738464068_2241491_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg': 987515205, 'temp/1738464068_2241491_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg': 987515224, 'temp/1738464068_2241491_987515226_a18048dca1a77ae086b62cf07759f704.jpg': 987515226, 'temp/1738464068_2241491_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg': 987515227, 'temp/1738464068_2241491_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg': 987515228, 'temp/1738464068_2241491_987515230_846ad925884264181565c81d152a2e94.jpg': 987515230, 'temp/1738464068_2241491_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg': 987515231, 'temp/1738464068_2241491_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg': 987515232, 'temp/1738464068_2241491_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg': 987515233, 'temp/1738464068_2241491_987515234_2eca3480aed0f8b876242675ad99b666.jpg': 987515234, 'temp/1738464068_2241491_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg': 987515235, 'temp/1738464068_2241491_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg': 987515236, 'temp/1738464068_2241491_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg': 987515237, 'temp/1738464068_2241491_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg': 987515238, 'temp/1738464068_2241491_987515207_de216ddb041e249524b0fb2b949064a5.jpg': 987515207, 'temp/1738464068_2241491_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg': 987515208, 'temp/1738464068_2241491_987515209_02dfe1ae39f51994652f4a8538844aea.jpg': 987515209, 'temp/1738464068_2241491_987515211_72cc7664d45bd40477351b9b764f1500.jpg': 987515211, 'temp/1738464068_2241491_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg': 987515212, 'temp/1738464068_2241491_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg': 987515213, 'temp/1738464068_2241491_987515215_902ef348a7eebb9a8b87f42927347936.jpg': 987515215, 'temp/1738464068_2241491_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg': 987515216, 'temp/1738464068_2241491_987515217_78877bb2c5760be28518d17f77d1c609.jpg': 987515217, 'temp/1738464068_2241491_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg': 987515219, 'temp/1738464068_2241491_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg': 987515220, 'temp/1738464068_2241491_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg': 987515222, 'temp/1738464068_2241491_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg': 987515223, 'temp/1738464068_2241491_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg': 987515239, 'temp/1738464068_2241491_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg': 987515240, 'temp/1738464068_2241491_987515241_073420d938f5f010ffd5b4353c064e09.jpg': 987515241, 'temp/1738464068_2241491_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg': 987515242, 'temp/1738464068_2241491_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg': 987515243, 'temp/1738464068_2241491_987515244_419530eaef5ef868f75c758b94eea4b4.jpg': 987515244, 'temp/1738464068_2241491_987515245_757d9d208d5bd4375c5f21f68b699148.jpg': 987515245, 'temp/1738464068_2241491_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg': 987515246, 'temp/1738464068_2241491_987515247_e47b65403df916ba909bc9c439b0af73.jpg': 987515247, 'temp/1738464068_2241491_987515248_a70ad88462a22fb62a120721a42b2d42.jpg': 987515248, 'temp/1738464068_2241491_987515249_a70ad88462a22fb62a120721a42b2d42.jpg': 987515249, 'temp/1738464068_2241491_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg': 987515250, 'temp/1738464068_2241491_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg': 987515175, 'temp/1738464068_2241491_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg': 987515176, 'temp/1738464068_2241491_987515177_4a54e9967227806219ddf45d256539d8.jpg': 987515177, 'temp/1738464068_2241491_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg': 987515178, 'temp/1738464068_2241491_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg': 987515179, 'temp/1738464068_2241491_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg': 987515180, 'temp/1738464068_2241491_987515181_1738c2798fb31152809ecb443ac286d6.jpg': 987515181, 'temp/1738464068_2241491_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg': 987515182, 'temp/1738464068_2241491_987515183_6aab9ca0421398b4899892c10c2594c6.jpg': 987515183, 'temp/1738464068_2241491_987515184_19c8c2177209a285df6014d95fe53f2c.jpg': 987515184, 'temp/1738464068_2241491_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg': 987515185, 'temp/1738464068_2241491_987515186_797def426440b544aa80dbd63a19234a.jpg': 987515186, 'temp/1738464068_2241491_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg': 987515187}
map_photo_id_path_extension : {987515188: {'path': 'temp/1738464068_2241491_987515188_4116f9906657a69bb76c2fda982037b9.jpg', 'extension': 'jpg'}, 987515189: {'path': 'temp/1738464068_2241491_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg', 'extension': 'jpg'}, 987515190: {'path': 'temp/1738464068_2241491_987515190_d56932bfc6ba2a8c974c691108755017.jpg', 'extension': 'jpg'}, 987515192: {'path': 'temp/1738464068_2241491_987515192_b661073b218f5f056833d6af1c617153.jpg', 'extension': 'jpg'}, 987515193: {'path': 'temp/1738464068_2241491_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg', 'extension': 'jpg'}, 987515195: {'path': 'temp/1738464068_2241491_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515196: {'path': 'temp/1738464068_2241491_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515198: {'path': 'temp/1738464068_2241491_987515198_599e80f444c876f407e94b533c89360b.jpg', 'extension': 'jpg'}, 987515200: {'path': 'temp/1738464068_2241491_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg', 'extension': 'jpg'}, 987515201: {'path': 'temp/1738464068_2241491_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg', 'extension': 'jpg'}, 987515202: {'path': 'temp/1738464068_2241491_987515202_3314bd90d1404f31b827d8925abf2d62.jpg', 'extension': 'jpg'}, 987515204: {'path': 'temp/1738464068_2241491_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg', 'extension': 'jpg'}, 987515205: {'path': 'temp/1738464068_2241491_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg', 'extension': 'jpg'}, 987515224: {'path': 'temp/1738464068_2241491_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg', 'extension': 'jpg'}, 987515226: {'path': 'temp/1738464068_2241491_987515226_a18048dca1a77ae086b62cf07759f704.jpg', 'extension': 'jpg'}, 987515227: {'path': 'temp/1738464068_2241491_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg', 'extension': 'jpg'}, 987515228: {'path': 'temp/1738464068_2241491_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg', 'extension': 'jpg'}, 987515230: {'path': 'temp/1738464068_2241491_987515230_846ad925884264181565c81d152a2e94.jpg', 'extension': 'jpg'}, 987515231: {'path': 'temp/1738464068_2241491_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg', 'extension': 'jpg'}, 987515232: {'path': 'temp/1738464068_2241491_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg', 'extension': 'jpg'}, 987515233: {'path': 'temp/1738464068_2241491_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg', 'extension': 'jpg'}, 987515234: {'path': 'temp/1738464068_2241491_987515234_2eca3480aed0f8b876242675ad99b666.jpg', 'extension': 'jpg'}, 987515235: {'path': 'temp/1738464068_2241491_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg', 'extension': 'jpg'}, 987515236: {'path': 'temp/1738464068_2241491_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg', 'extension': 'jpg'}, 987515237: {'path': 'temp/1738464068_2241491_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg', 'extension': 'jpg'}, 987515238: {'path': 'temp/1738464068_2241491_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg', 'extension': 'jpg'}, 987515207: {'path': 'temp/1738464068_2241491_987515207_de216ddb041e249524b0fb2b949064a5.jpg', 'extension': 'jpg'}, 987515208: {'path': 'temp/1738464068_2241491_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg', 'extension': 'jpg'}, 987515209: {'path': 'temp/1738464068_2241491_987515209_02dfe1ae39f51994652f4a8538844aea.jpg', 'extension': 'jpg'}, 987515211: {'path': 'temp/1738464068_2241491_987515211_72cc7664d45bd40477351b9b764f1500.jpg', 'extension': 'jpg'}, 987515212: {'path': 'temp/1738464068_2241491_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515213: {'path': 'temp/1738464068_2241491_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515215: {'path': 'temp/1738464068_2241491_987515215_902ef348a7eebb9a8b87f42927347936.jpg', 'extension': 'jpg'}, 987515216: {'path': 'temp/1738464068_2241491_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg', 'extension': 'jpg'}, 987515217: {'path': 'temp/1738464068_2241491_987515217_78877bb2c5760be28518d17f77d1c609.jpg', 'extension': 'jpg'}, 987515219: {'path': 'temp/1738464068_2241491_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg', 'extension': 'jpg'}, 987515220: {'path': 'temp/1738464068_2241491_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg', 'extension': 'jpg'}, 987515222: {'path': 'temp/1738464068_2241491_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg', 'extension': 'jpg'}, 987515223: {'path': 'temp/1738464068_2241491_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg', 'extension': 'jpg'}, 987515239: {'path': 'temp/1738464068_2241491_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg', 'extension': 'jpg'}, 987515240: {'path': 'temp/1738464068_2241491_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg', 'extension': 'jpg'}, 987515241: {'path': 'temp/1738464068_2241491_987515241_073420d938f5f010ffd5b4353c064e09.jpg', 'extension': 'jpg'}, 987515242: {'path': 'temp/1738464068_2241491_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg', 'extension': 'jpg'}, 987515243: {'path': 'temp/1738464068_2241491_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg', 'extension': 'jpg'}, 987515244: {'path': 'temp/1738464068_2241491_987515244_419530eaef5ef868f75c758b94eea4b4.jpg', 'extension': 'jpg'}, 987515245: {'path': 'temp/1738464068_2241491_987515245_757d9d208d5bd4375c5f21f68b699148.jpg', 'extension': 'jpg'}, 987515246: {'path': 'temp/1738464068_2241491_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg', 'extension': 'jpg'}, 987515247: {'path': 'temp/1738464068_2241491_987515247_e47b65403df916ba909bc9c439b0af73.jpg', 'extension': 'jpg'}, 987515248: {'path': 'temp/1738464068_2241491_987515248_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515249: {'path': 'temp/1738464068_2241491_987515249_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515250: {'path': 'temp/1738464068_2241491_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg', 'extension': 'jpg'}, 987515175: {'path': 'temp/1738464068_2241491_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg', 'extension': 'jpg'}, 987515176: {'path': 'temp/1738464068_2241491_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg', 'extension': 'jpg'}, 987515177: {'path': 'temp/1738464068_2241491_987515177_4a54e9967227806219ddf45d256539d8.jpg', 'extension': 'jpg'}, 987515178: {'path': 'temp/1738464068_2241491_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg', 'extension': 'jpg'}, 987515179: {'path': 'temp/1738464068_2241491_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'extension': 'jpg'}, 987515180: {'path': 'temp/1738464068_2241491_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'extension': 'jpg'}, 987515181: {'path': 'temp/1738464068_2241491_987515181_1738c2798fb31152809ecb443ac286d6.jpg', 'extension': 'jpg'}, 987515182: {'path': 'temp/1738464068_2241491_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg', 'extension': 'jpg'}, 987515183: {'path': 'temp/1738464068_2241491_987515183_6aab9ca0421398b4899892c10c2594c6.jpg', 'extension': 'jpg'}, 987515184: {'path': 'temp/1738464068_2241491_987515184_19c8c2177209a285df6014d95fe53f2c.jpg', 'extension': 'jpg'}, 987515185: {'path': 'temp/1738464068_2241491_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg', 'extension': 'jpg'}, 987515186: {'path': 'temp/1738464068_2241491_987515186_797def426440b544aa80dbd63a19234a.jpg', 'extension': 'jpg'}, 987515187: {'path': 'temp/1738464068_2241491_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Thcl !
multi_thcl or not :False
multi_thcl_cond or not :False
dic_thcl :  {'1528': 1}
we are using the classfication for only one thcl
1528


In convert_file_to_np l 337 : 1
 l343 1
In convert_file_to_np l 337 : 7
 l343 7
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 7
 l343 7
In convert_file_to_np l 337 : 7
 l343 7
In convert_file_to_np l 337 : 7
 l343 7
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.0006017684936523438
time to convert the images to numpy array :  0.009073495864868164
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.01027369499206543
time to convert the images to numpy array :  0.03555035591125488
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.004893779754638672
time to convert the images to numpy array :  0.043968915939331055
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.005943775177001953
time to convert the images to numpy array :  0.04731273651123047
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.009586811065673828
time to convert the images to numpy array :  0.04360532760620117
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.01284027099609375
time to convert the images to numpy array :  0.040673255920410156
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.008120536804199219
time to convert the images to numpy array :  0.045091867446899414
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.010320425033569336
time to convert the images to numpy array :  0.04500770568847656
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.019566059112548828
time to convert the images to numpy array :  0.03745245933532715
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.020509004592895508
time to convert the images to numpy array :  0.03460693359375
total time to convert the images to numpy array :  0.05915713310241699
list photo_ids error:
[]
list photo_ids correct :
[987515187, 987515209, 987515211, 987515212, 987515213, 987515215, 987515216, 987515217, 987515198, 987515200, 987515201, 987515202, 987515204, 987515205, 987515224, 987515188, 987515189, 987515190, 987515192, 987515193, 987515195, 987515196, 987515219, 987515220, 987515222, 987515223, 987515239, 987515240, 987515241, 987515242, 987515243, 987515244, 987515245, 987515246, 987515247, 987515248, 987515249, 987515250, 987515175, 987515176, 987515177, 987515178, 987515179, 987515226, 987515227, 987515228, 987515230, 987515231, 987515232, 987515233, 987515234, 987515235, 987515236, 987515237, 987515238, 987515207, 987515208, 987515180, 987515181, 987515182, 987515183, 987515184, 987515185, 987515186]
number of photos to traite : 64
try to delete the photos incorrect in DB

tagging for thcl : 1528
To do loadFromThcl(), then load ParamDescType : thcl1528
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (1528) 
 thcls : [{'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'}]
 thcl {'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'}
 Update svm_hashtag_type_desc : 4421
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (4421)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (4421, 'learn_refus_upm_blanches_1924', 16384, 25088, 'learn_refus_upm_blanches_1924', 'res5b', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2019, 10, 22, 17, 39, 25), datetime.datetime(2019, 10, 22, 17, 39, 25))
To loadFromThcl() : net_4421
begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 2500
l 3632 free memory gpu now : 1932
wait 20 seconds
l 3637 free memory gpu now : 1932  max_wait_temp :  1 max_wait :  0
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (4421)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (4421, 'learn_refus_upm_blanches_1924', 16384, 25088, 'learn_refus_upm_blanches_1924', 'res5b', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2019, 10, 22, 17, 39, 25), datetime.datetime(2019, 10, 22, 17, 39, 25))
 param : <mtr.database_queries.descriptor_queries.ParamDescriptorType object at 0x7f5c5e96da30>, param.caffemodel : learn_refus_upm_blanches_1924
None
 mean_file_type : 
 mean_file_path : 
 prototxt_file_path : 
 model : learn_refus_upm_blanches_1924
 Inside get_net  
 Inside get_net before cache_data_model 
model_param file didn't exist 
 Inside get_net before  CDM.load_model_par_type  
model_name : learn_refus_upm_blanches_1924
model_type : caffe
list file need :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file exist in s3 :
['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file manque in s3 : 
['deploy_conv_normal.prototxt', 'deploy_fc.prototxt']
local folder  : /data/models_weight/learn_refus_upm_blanches_1924


/data/models_weight/learn_refus_upm_blanches_1924/caffemodel
size_local : 45774543 size in s3 : 45774543
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
caffemodel already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt
size_local : 17312 size in s3 : 17312
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:03
deploy.prototxt already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/mean.npy
size_local : 1572992 size in s3 : 1572992
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:05
mean.npy already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/synset_words.txt
size_local : 218 size in s3 : 218
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
synset_words.txt already exist and didn't need to update
 Inside get_net after CDM.load_model_par_type  
  After if not only_with_local_cache:
/home/admin/workarea/install/caffe_cuda8_python3/python/:/home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/
Here before set mode gpu
Doing nothing but we could set mode gpu
after set mode gpu
 prototxt_filename : /data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt
 caffemodel_filename : /data/models_weight/learn_refus_upm_blanches_1924/caffemodel
now we set caffe to gpu mode


 before predict
begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 2500
l 3632 free memory gpu now : 1932
wait 20 seconds
l 3637 free memory gpu now : 1932  max_wait_temp :  1 max_wait :  0
dict_keys(['res5b', 'prob'])
time used to do the prepocess of the images : 0.05636191368103027
time used to do the prediction : 0.3364746570587158


save descriptor for thcl : 1528
(64, 512, 7, 7)
Got the blobs of the net
 to insert :  
[3, 1, 1, 1, 1, 1, 2, 1, 1, 2]
code_as_byte_string:b'0301010101'|
Got the blobs of the net
 to insert :  
[1, 0, 0, 1, 1, 1, 0, 1, 1, 3]
code_as_byte_string:b'0100000101'|
Got the blobs of the net
 to insert :  
[1, 1, 2, 3, 4, 4, 1, 2, 8, 7]
code_as_byte_string:b'0101020304'|
Got the blobs of the net
 to insert :  
[6, 8, 5, 7, 7, 8, 10, 12, 12, 6]
code_as_byte_string:b'0608050707'|
Got the blobs of the net
 to insert :  
[6, 8, 5, 7, 7, 8, 10, 12, 12, 6]
code_as_byte_string:b'0608050707'|
Got the blobs of the net
 to insert :  
[5, 5, 4, 3, 5, 6, 3, 4, 3, 3]
code_as_byte_string:b'0505040305'|
Got the blobs of the net
 to insert :  
[5, 3, 3, 1, 1, 1, 2, 2, 2, 4]
code_as_byte_string:b'0503030101'|
Got the blobs of the net
 to insert :  
[2, 1, 2, 2, 2, 0, 0, 1, 0, 3]
code_as_byte_string:b'0201020202'|
Got the blobs of the net
 to insert :  
[1, 1, 0, 0, 1, 2, 0, 0, 0, 1]
code_as_byte_string:b'0101000001'|
Got the blobs of the net
 to insert :  
[0, 1, 0, 1, 3, 4, 2, 1, 3, 5]
code_as_byte_string:b'0001000103'|
Got the blobs of the net
 to insert :  
[3, 3, 3, 8, 7, 5, 5, 4, 5, 3]
code_as_byte_string:b'0303030807'|
Got the blobs of the net
 to insert :  
[2, 5, 4, 6, 9, 9, 10, 9, 11, 5]
code_as_byte_string:b'0205040609'|
Got the blobs of the net
 to insert :  
[5, 2, 3, 7, 5, 7, 6, 2, 4, 3]
code_as_byte_string:b'0502030705'|
Got the blobs of the net
 to insert :  
[5, 7, 3, 2, 1, 2, 2, 2, 0, 0]
code_as_byte_string:b'0507030201'|
Got the blobs of the net
 to insert :  
[7, 7, 3, 8, 9, 6, 7, 10, 11, 6]
code_as_byte_string:b'0707030809'|
Got the blobs of the net
 to insert :  
[1, 1, 1, 2, 0, 3, 4, 3, 4, 5]
code_as_byte_string:b'0101010200'|
Got the blobs of the net
 to insert :  
[3, 2, 1, 4, 5, 7, 6, 5, 6, 5]
code_as_byte_string:b'0302010405'|
Got the blobs of the net
 to insert :  
[3, 4, 5, 5, 9, 9, 9, 9, 11, 7]
code_as_byte_string:b'0304050509'|
Got the blobs of the net
 to insert :  
[5, 3, 3, 6, 8, 12, 9, 9, 3, 5]
code_as_byte_string:b'0503030608'|
Got the blobs of the net
 to insert :  
[6, 3, 3, 0, 1, 2, 2, 5, 2, 4]
code_as_byte_string:b'0603030001'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 2, 5, 1, 0, 0]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 2, 5, 1, 0, 0]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 0, 2, 3, 3, 1, 0, 0, 0, 0]
code_as_byte_string:b'0000020303'|
Got the blobs of the net
 to insert :  
[1, 0, 0, 1, 0, 0, 0, 3, 4, 5]
code_as_byte_string:b'0100000100'|
Got the blobs of the net
 to insert :  
[0, 1, 1, 4, 2, 1, 3, 7, 9, 9]
code_as_byte_string:b'0001010402'|
Got the blobs of the net
 to insert :  
[7, 10, 10, 2, 4, 7, 8, 5, 5, 2]
code_as_byte_string:b'070a0a0204'|
Got the blobs of the net
 to insert :  
[1, 1, 0, 0, 0, 0, 0, 3, 5, 1]
code_as_byte_string:b'0101000000'|
Got the blobs of the net
 to insert :  
[0, 3, 0, 1, 1, 6, 7, 5, 5, 3]
code_as_byte_string:b'0003000101'|
Got the blobs of the net
 to insert :  
[6, 6, 3, 3, 8, 8, 6, 6, 2, 0]
code_as_byte_string:b'0606030308'|
Got the blobs of the net
 to insert :  
[5, 5, 2, 4, 6, 5, 9, 9, 4, 2]
code_as_byte_string:b'0505020406'|
Got the blobs of the net
 to insert :  
[2, 1, 3, 5, 7, 5, 3, 4, 1, 3]
code_as_byte_string:b'0201030507'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 1, 3, 2, 1, 0, 2]
code_as_byte_string:b'0000000101'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 1, 3, 1, 0]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 0, 0, 0, 0, 1, 3]
code_as_byte_string:b'0000000100'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 2, 0, 1, 4, 0, 2]
code_as_byte_string:b'0000000102'|
Got the blobs of the net
 to insert :  
[4, 1, 3, 4, 7, 3, 4, 2, 1, 0]
code_as_byte_string:b'0401030407'|
Got the blobs of the net
 to insert :  
[4, 1, 3, 4, 7, 3, 4, 2, 1, 0]
code_as_byte_string:b'0401030407'|
Got the blobs of the net
 to insert :  
[3, 3, 1, 4, 7, 7, 9, 6, 2, 1]
code_as_byte_string:b'0303010407'|
Got the blobs of the net
 to insert :  
[13, 9, 9, 8, 11, 13, 6, 14, 9, 18]
code_as_byte_string:b'0d0909080b'|
Got the blobs of the net
 to insert :  
[12, 9, 9, 8, 11, 13, 6, 14, 9, 18]
code_as_byte_string:b'0c0909080b'|
Got the blobs of the net
 to insert :  
[2, 2, 6, 7, 8, 6, 4, 3, 1, 8]
code_as_byte_string:b'0202060708'|
Got the blobs of the net
 to insert :  
[1, 2, 2, 1, 0, 1, 1, 2, 1, 1]
code_as_byte_string:b'0102020100'|
Got the blobs of the net
 to insert :  
[2, 2, 1, 3, 2, 3, 2, 0, 0, 1]
code_as_byte_string:b'0202010302'|
Got the blobs of the net
 to insert :  
[3, 3, 3, 1, 6, 7, 10, 5, 3, 5]
code_as_byte_string:b'0303030106'|
Got the blobs of the net
 to insert :  
[3, 2, 2, 1, 1, 2, 2, 3, 2, 5]
code_as_byte_string:b'0302020101'|
Got the blobs of the net
 to insert :  
[1, 0, 3, 1, 0, 0, 0, 0, 0, 5]
code_as_byte_string:b'0100030100'|
Got the blobs of the net
 to insert :  
[0, 0, 2, 2, 0, 0, 0, 0, 0, 3]
code_as_byte_string:b'0000020200'|
Got the blobs of the net
 to insert :  
[1, 1, 2, 1, 0, 0, 0, 3, 6, 7]
code_as_byte_string:b'0101020100'|
Got the blobs of the net
 to insert :  
[1, 3, 3, 3, 0, 1, 5, 6, 7, 4]
code_as_byte_string:b'0103030300'|
Got the blobs of the net
 to insert :  
[5, 7, 3, 2, 5, 9, 10, 3, 5, 0]
code_as_byte_string:b'0507030205'|
Got the blobs of the net
 to insert :  
[6, 8, 3, 6, 6, 6, 5, 10, 10, 3]
code_as_byte_string:b'0608030606'|
Got the blobs of the net
 to insert :  
[1, 2, 1, 5, 7, 10, 8, 2, 2, 1]
code_as_byte_string:b'0102010507'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 5, 4, 6, 3, 1, 3]
code_as_byte_string:b'0000000105'|
Got the blobs of the net
 to insert :  
[0, 2, 1, 0, 0, 0, 0, 0, 4, 2]
code_as_byte_string:b'0002010000'|
Got the blobs of the net
 to insert :  
[0, 2, 0, 1, 1, 0, 0, 0, 1, 3]
code_as_byte_string:b'0002000101'|
Got the blobs of the net
 to insert :  
[4, 2, 1, 2, 3, 1, 0, 1, 0, 1]
code_as_byte_string:b'0402010203'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 2, 2, 1, 1, 0, 0]
code_as_byte_string:b'0000000102'|
Got the blobs of the net
 to insert :  
[1, 0, 1, 2, 1, 0, 3, 3, 3, 8]
code_as_byte_string:b'0100010201'|
Got the blobs of the net
 to insert :  
[5, 5, 6, 4, 3, 6, 9, 7, 7, 7]
code_as_byte_string:b'0505060403'|
Got the blobs of the net
 to insert :  
[4, 6, 6, 4, 7, 8, 8, 8, 12, 8]
code_as_byte_string:b'0406060407'|
Got the blobs of the net
 to insert :  
[11, 8, 5, 9, 12, 14, 13, 14, 12, 6]
code_as_byte_string:b'0b0805090c'|
Got the blobs of the net
 to insert :  
[8, 7, 6, 4, 2, 1, 2, 4, 4, 4]
code_as_byte_string:b'0807060402'|
Got the blobs of the net
 to insert :  
[2, 3, 5, 5, 2, 2, 3, 0, 1, 4]
code_as_byte_string:b'0203050502'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 1, 1, 3, 3, 0, 0]
code_as_byte_string:b'0000000101'|
time to traite the descriptors :  3.600743532180786
Testing : ['987515187', '987515209', '987515211', '987515212', '987515213', '987515215', '987515216', '987515217', '987515198', '987515200', '987515201', '987515202', '987515204', '987515205', '987515224', '987515188', '987515189', '987515190', '987515192', '987515193', '987515195', '987515196', '987515219', '987515220', '987515222', '987515223', '987515239', '987515240', '987515241', '987515242', '987515243', '987515244', '987515245', '987515246', '987515247', '987515248', '987515249', '987515250', '987515175', '987515176', '987515177', '987515178', '987515179', '987515226', '987515227', '987515228', '987515230', '987515231', '987515232', '987515233', '987515234', '987515235', '987515236', '987515237', '987515238', '987515207', '987515208', '987515180', '987515181', '987515182', '987515183', '987515184', '987515185', '987515186']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (987515187,987515209,987515211,987515212,987515213,987515215,987515216,987515217,987515198,987515200,987515201,987515202,987515204,987515205,987515224,987515188,987515189,987515190,987515192,987515193,987515195,987515196,987515219,987515220,987515222,987515223,987515239,987515240,987515241,987515242,987515243,987515244,987515245,987515246,987515247,987515248,987515249,987515250,987515175,987515176,987515177,987515178,987515179,987515226,987515227,987515228,987515230,987515231,987515232,987515233,987515234,987515235,987515236,987515237,987515238,987515207,987515208,987515180,987515181,987515182,987515183,987515184,987515185,987515186) 
result : {987515175: {'photo_id': 987515175, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8b398cba2f448622cd9657f5eb3f9796.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_14_16_02_694514_0001.jpg'}, 987515176: {'photo_id': 987515176, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8b398cba2f448622cd9657f5eb3f9796.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_144.jpg'}, 987515177: {'photo_id': 987515177, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4a54e9967227806219ddf45d256539d8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_176.jpg'}, 987515178: {'photo_id': 987515178, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/298b3d2bfe0fda6787b59a78e2e68867.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_208.jpg'}, 987515179: {'photo_id': 987515179, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_240.jpg'}, 987515180: {'photo_id': 987515180, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_272.jpg'}, 987515181: {'photo_id': 987515181, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/1738c2798fb31152809ecb443ac286d6.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_304.jpg'}, 987515182: {'photo_id': 987515182, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/fe7f29bf6d13e08c3e985f91b5232178.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_336.jpg'}, 987515183: {'photo_id': 987515183, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/6aab9ca0421398b4899892c10c2594c6.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_112.jpg'}, 987515184: {'photo_id': 987515184, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/19c8c2177209a285df6014d95fe53f2c.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_144.jpg'}, 987515185: {'photo_id': 987515185, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e172d54457cabee9d7f02ee1300f3ae9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_176.jpg'}, 987515186: {'photo_id': 987515186, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/797def426440b544aa80dbd63a19234a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_208.jpg'}, 987515187: {'photo_id': 987515187, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/9f62f98efd3caca0b9c17d27f5c70440.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_240.jpg'}, 987515188: {'photo_id': 987515188, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4116f9906657a69bb76c2fda982037b9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_272.jpg'}, 987515189: {'photo_id': 987515189, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8e8590a26f72249d4c2116dffd0cf668.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_304.jpg'}, 987515190: {'photo_id': 987515190, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/d56932bfc6ba2a8c974c691108755017.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_336.jpg'}, 987515192: {'photo_id': 987515192, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b661073b218f5f056833d6af1c617153.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_112.jpg'}, 987515193: {'photo_id': 987515193, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/1a97fceb4dcbf5821d783b2e00b52fe6.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_144.jpg'}, 987515195: {'photo_id': 987515195, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/30ccb89dfe410c445878a7f2819ddc36.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_17_37_58_622227.jpg'}, 987515196: {'photo_id': 987515196, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/30ccb89dfe410c445878a7f2819ddc36.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_208.jpg'}, 987515198: {'photo_id': 987515198, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/599e80f444c876f407e94b533c89360b.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_240.jpg'}, 987515200: {'photo_id': 987515200, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/978964436b5d5fb0eeda17e3bfafe889.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_272.jpg'}, 987515201: {'photo_id': 987515201, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b224d2acdc7fa2bbb134c09db6bca7ce.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_304.jpg'}, 987515202: {'photo_id': 987515202, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/3314bd90d1404f31b827d8925abf2d62.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_336.jpg'}, 987515204: {'photo_id': 987515204, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/9779c4f9d44360a9c80499e3b01e8a09.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_112.jpg'}, 987515205: {'photo_id': 987515205, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/fd4b136d0b3a9a1a347942d7191f6fea.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_144.jpg'}, 987515207: {'photo_id': 987515207, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/de216ddb041e249524b0fb2b949064a5.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_176.jpg'}, 987515208: {'photo_id': 987515208, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a2b90cb74908aa64bbc4aae58f0c5ae8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_208.jpg'}, 987515209: {'photo_id': 987515209, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/02dfe1ae39f51994652f4a8538844aea.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_240.jpg'}, 987515211: {'photo_id': 987515211, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/72cc7664d45bd40477351b9b764f1500.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_272.jpg'}, 987515212: {'photo_id': 987515212, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_09_32_14_525625.jpg'}, 987515213: {'photo_id': 987515213, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_336.jpg'}, 987515215: {'photo_id': 987515215, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/902ef348a7eebb9a8b87f42927347936.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_112.jpg'}, 987515216: {'photo_id': 987515216, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4f7dc21f1d2cd3fcabadc4a6755921e1.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_144.jpg'}, 987515217: {'photo_id': 987515217, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/78877bb2c5760be28518d17f77d1c609.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_176.jpg'}, 987515219: {'photo_id': 987515219, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/c2d417a5ba6ccf7c84527636f8d5eef9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_208.jpg'}, 987515220: {'photo_id': 987515220, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e729f316c4c3b32049adfbaaa336d95c.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_240.jpg'}, 987515222: {'photo_id': 987515222, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/067a027bc7402f969b6277d0dcb47eaa.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_272.jpg'}, 987515223: {'photo_id': 987515223, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/ebb57f09941cd11d7ee45a9368a883c1.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_304.jpg'}, 987515224: {'photo_id': 987515224, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e8747b400e713ecbd08d5b75db4d7568.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_336.jpg'}, 987515226: {'photo_id': 987515226, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a18048dca1a77ae086b62cf07759f704.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_112.jpg'}, 987515227: {'photo_id': 987515227, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e9c45a0e576ec9e44c1379c3fc5fec7c.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_144.jpg'}, 987515228: {'photo_id': 987515228, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/9f1759f20c9e603bccb9f9879d2f0d54.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_176.jpg'}, 987515230: {'photo_id': 987515230, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/846ad925884264181565c81d152a2e94.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_208.jpg'}, 987515231: {'photo_id': 987515231, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/dbf4cafa71b6db4771c5c8f0c25e9cda.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_240.jpg'}, 987515232: {'photo_id': 987515232, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/38db7950cdb3c674ee0ad65915b021f3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_272.jpg'}, 987515233: {'photo_id': 987515233, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a92514bed0e8c5724f2d032d3ab1e2ad.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_304.jpg'}, 987515234: {'photo_id': 987515234, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/2eca3480aed0f8b876242675ad99b666.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_336.jpg'}, 987515235: {'photo_id': 987515235, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/87075955a2f76b3948b47ffe1825ecd9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_112.jpg'}, 987515236: {'photo_id': 987515236, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8b44a98b1aceadad73ed000d65836a9a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_144.jpg'}, 987515237: {'photo_id': 987515237, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/1183dfa371a457f11ce2b622c7cf9467.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_176.jpg'}, 987515238: {'photo_id': 987515238, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e6292cb81e05894cfeb4b99f21a1d3f8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_208.jpg'}, 987515239: {'photo_id': 987515239, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b3fa6f29636080b5138c8d8c33fea309.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_240.jpg'}, 987515240: {'photo_id': 987515240, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_272.jpg'}, 987515241: {'photo_id': 987515241, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/073420d938f5f010ffd5b4353c064e09.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_304.jpg'}, 987515242: {'photo_id': 987515242, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/327abb5215d6fd1f0aad51f53ed8c324.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_336.jpg'}, 987515243: {'photo_id': 987515243, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4375283f3bc5cdaa431c2fc6f17f53a4.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_112.jpg'}, 987515244: {'photo_id': 987515244, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/419530eaef5ef868f75c758b94eea4b4.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_144.jpg'}, 987515245: {'photo_id': 987515245, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/757d9d208d5bd4375c5f21f68b699148.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_176.jpg'}, 987515246: {'photo_id': 987515246, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/671a708f67f2efa19004b8257fc7b9c8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_208.jpg'}, 987515247: {'photo_id': 987515247, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e47b65403df916ba909bc9c439b0af73.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_240.jpg'}, 987515248: {'photo_id': 987515248, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a70ad88462a22fb62a120721a42b2d42.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_14_16_02_694514_0002.jpg'}, 987515249: {'photo_id': 987515249, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a70ad88462a22fb62a120721a42b2d42.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_304.jpg'}, 987515250: {'photo_id': 987515250, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b2827c9639df69656f23abcc7f2f82d9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_336.jpg'}}
list_photo_exists : [987515175, 987515176, 987515177, 987515178, 987515179, 987515180, 987515181, 987515182, 987515183, 987515184, 987515185, 987515186, 987515187, 987515188, 987515189, 987515190, 987515192, 987515193, 987515195, 987515196, 987515198, 987515200, 987515201, 987515202, 987515204, 987515205, 987515207, 987515208, 987515209, 987515211, 987515212, 987515213, 987515215, 987515216, 987515217, 987515219, 987515220, 987515222, 987515223, 987515224, 987515226, 987515227, 987515228, 987515230, 987515231, 987515232, 987515233, 987515234, 987515235, 987515236, 987515237, 987515238, 987515239, 987515240, 987515241, 987515242, 987515243, 987515244, 987515245, 987515246, 987515247, 987515248, 987515249, 987515250]
storage_type for insertDescriptorsMulti : 1
To insert : 987515187
To insert : 987515209
To insert : 987515211
To insert : 987515212
To insert : 987515213
To insert : 987515215
To insert : 987515216
To insert : 987515217
To insert : 987515198
To insert : 987515200
To insert : 987515201
To insert : 987515202
To insert : 987515204
To insert : 987515205
To insert : 987515224
To insert : 987515188
To insert : 987515189
To insert : 987515190
To insert : 987515192
To insert : 987515193
To insert : 987515195
To insert : 987515196
To insert : 987515219
To insert : 987515220
To insert : 987515222
To insert : 987515223
To insert : 987515239
To insert : 987515240
To insert : 987515241
To insert : 987515242
To insert : 987515243
To insert : 987515244
To insert : 987515245
To insert : 987515246
To insert : 987515247
To insert : 987515248
To insert : 987515249
To insert : 987515250
To insert : 987515175
To insert : 987515176
To insert : 987515177
To insert : 987515178
To insert : 987515179
To insert : 987515226
To insert : 987515227
To insert : 987515228
To insert : 987515230
To insert : 987515231
To insert : 987515232
To insert : 987515233
To insert : 987515234
To insert : 987515235
To insert : 987515236
To insert : 987515237
To insert : 987515238
To insert : 987515207
To insert : 987515208
To insert : 987515180
To insert : 987515181
To insert : 987515182
To insert : 987515183
To insert : 987515184
To insert : 987515185
To insert : 987515186
time to insert the descriptors : 13.307729482650757






After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 62.041752099990845
time spend to save output : 0.04510235786437988
total time spend for step 1 : 62.086854457855225

step2:argmax
Sun Feb  2 03:42:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464068_2241491_987515188_4116f9906657a69bb76c2fda982037b9.jpg': 987515188, 'temp/1738464068_2241491_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg': 987515189, 'temp/1738464068_2241491_987515190_d56932bfc6ba2a8c974c691108755017.jpg': 987515190, 'temp/1738464068_2241491_987515192_b661073b218f5f056833d6af1c617153.jpg': 987515192, 'temp/1738464068_2241491_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg': 987515193, 'temp/1738464068_2241491_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg': 987515195, 'temp/1738464068_2241491_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg': 987515196, 'temp/1738464068_2241491_987515198_599e80f444c876f407e94b533c89360b.jpg': 987515198, 'temp/1738464068_2241491_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg': 987515200, 'temp/1738464068_2241491_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg': 987515201, 'temp/1738464068_2241491_987515202_3314bd90d1404f31b827d8925abf2d62.jpg': 987515202, 'temp/1738464068_2241491_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg': 987515204, 'temp/1738464068_2241491_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg': 987515205, 'temp/1738464068_2241491_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg': 987515224, 'temp/1738464068_2241491_987515226_a18048dca1a77ae086b62cf07759f704.jpg': 987515226, 'temp/1738464068_2241491_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg': 987515227, 'temp/1738464068_2241491_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg': 987515228, 'temp/1738464068_2241491_987515230_846ad925884264181565c81d152a2e94.jpg': 987515230, 'temp/1738464068_2241491_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg': 987515231, 'temp/1738464068_2241491_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg': 987515232, 'temp/1738464068_2241491_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg': 987515233, 'temp/1738464068_2241491_987515234_2eca3480aed0f8b876242675ad99b666.jpg': 987515234, 'temp/1738464068_2241491_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg': 987515235, 'temp/1738464068_2241491_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg': 987515236, 'temp/1738464068_2241491_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg': 987515237, 'temp/1738464068_2241491_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg': 987515238, 'temp/1738464068_2241491_987515207_de216ddb041e249524b0fb2b949064a5.jpg': 987515207, 'temp/1738464068_2241491_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg': 987515208, 'temp/1738464068_2241491_987515209_02dfe1ae39f51994652f4a8538844aea.jpg': 987515209, 'temp/1738464068_2241491_987515211_72cc7664d45bd40477351b9b764f1500.jpg': 987515211, 'temp/1738464068_2241491_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg': 987515212, 'temp/1738464068_2241491_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg': 987515213, 'temp/1738464068_2241491_987515215_902ef348a7eebb9a8b87f42927347936.jpg': 987515215, 'temp/1738464068_2241491_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg': 987515216, 'temp/1738464068_2241491_987515217_78877bb2c5760be28518d17f77d1c609.jpg': 987515217, 'temp/1738464068_2241491_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg': 987515219, 'temp/1738464068_2241491_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg': 987515220, 'temp/1738464068_2241491_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg': 987515222, 'temp/1738464068_2241491_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg': 987515223, 'temp/1738464068_2241491_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg': 987515239, 'temp/1738464068_2241491_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg': 987515240, 'temp/1738464068_2241491_987515241_073420d938f5f010ffd5b4353c064e09.jpg': 987515241, 'temp/1738464068_2241491_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg': 987515242, 'temp/1738464068_2241491_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg': 987515243, 'temp/1738464068_2241491_987515244_419530eaef5ef868f75c758b94eea4b4.jpg': 987515244, 'temp/1738464068_2241491_987515245_757d9d208d5bd4375c5f21f68b699148.jpg': 987515245, 'temp/1738464068_2241491_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg': 987515246, 'temp/1738464068_2241491_987515247_e47b65403df916ba909bc9c439b0af73.jpg': 987515247, 'temp/1738464068_2241491_987515248_a70ad88462a22fb62a120721a42b2d42.jpg': 987515248, 'temp/1738464068_2241491_987515249_a70ad88462a22fb62a120721a42b2d42.jpg': 987515249, 'temp/1738464068_2241491_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg': 987515250, 'temp/1738464068_2241491_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg': 987515175, 'temp/1738464068_2241491_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg': 987515176, 'temp/1738464068_2241491_987515177_4a54e9967227806219ddf45d256539d8.jpg': 987515177, 'temp/1738464068_2241491_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg': 987515178, 'temp/1738464068_2241491_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg': 987515179, 'temp/1738464068_2241491_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg': 987515180, 'temp/1738464068_2241491_987515181_1738c2798fb31152809ecb443ac286d6.jpg': 987515181, 'temp/1738464068_2241491_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg': 987515182, 'temp/1738464068_2241491_987515183_6aab9ca0421398b4899892c10c2594c6.jpg': 987515183, 'temp/1738464068_2241491_987515184_19c8c2177209a285df6014d95fe53f2c.jpg': 987515184, 'temp/1738464068_2241491_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg': 987515185, 'temp/1738464068_2241491_987515186_797def426440b544aa80dbd63a19234a.jpg': 987515186, 'temp/1738464068_2241491_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg': 987515187}
map_photo_id_path_extension : {987515188: {'path': 'temp/1738464068_2241491_987515188_4116f9906657a69bb76c2fda982037b9.jpg', 'extension': 'jpg'}, 987515189: {'path': 'temp/1738464068_2241491_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg', 'extension': 'jpg'}, 987515190: {'path': 'temp/1738464068_2241491_987515190_d56932bfc6ba2a8c974c691108755017.jpg', 'extension': 'jpg'}, 987515192: {'path': 'temp/1738464068_2241491_987515192_b661073b218f5f056833d6af1c617153.jpg', 'extension': 'jpg'}, 987515193: {'path': 'temp/1738464068_2241491_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg', 'extension': 'jpg'}, 987515195: {'path': 'temp/1738464068_2241491_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515196: {'path': 'temp/1738464068_2241491_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515198: {'path': 'temp/1738464068_2241491_987515198_599e80f444c876f407e94b533c89360b.jpg', 'extension': 'jpg'}, 987515200: {'path': 'temp/1738464068_2241491_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg', 'extension': 'jpg'}, 987515201: {'path': 'temp/1738464068_2241491_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg', 'extension': 'jpg'}, 987515202: {'path': 'temp/1738464068_2241491_987515202_3314bd90d1404f31b827d8925abf2d62.jpg', 'extension': 'jpg'}, 987515204: {'path': 'temp/1738464068_2241491_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg', 'extension': 'jpg'}, 987515205: {'path': 'temp/1738464068_2241491_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg', 'extension': 'jpg'}, 987515224: {'path': 'temp/1738464068_2241491_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg', 'extension': 'jpg'}, 987515226: {'path': 'temp/1738464068_2241491_987515226_a18048dca1a77ae086b62cf07759f704.jpg', 'extension': 'jpg'}, 987515227: {'path': 'temp/1738464068_2241491_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg', 'extension': 'jpg'}, 987515228: {'path': 'temp/1738464068_2241491_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg', 'extension': 'jpg'}, 987515230: {'path': 'temp/1738464068_2241491_987515230_846ad925884264181565c81d152a2e94.jpg', 'extension': 'jpg'}, 987515231: {'path': 'temp/1738464068_2241491_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg', 'extension': 'jpg'}, 987515232: {'path': 'temp/1738464068_2241491_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg', 'extension': 'jpg'}, 987515233: {'path': 'temp/1738464068_2241491_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg', 'extension': 'jpg'}, 987515234: {'path': 'temp/1738464068_2241491_987515234_2eca3480aed0f8b876242675ad99b666.jpg', 'extension': 'jpg'}, 987515235: {'path': 'temp/1738464068_2241491_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg', 'extension': 'jpg'}, 987515236: {'path': 'temp/1738464068_2241491_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg', 'extension': 'jpg'}, 987515237: {'path': 'temp/1738464068_2241491_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg', 'extension': 'jpg'}, 987515238: {'path': 'temp/1738464068_2241491_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg', 'extension': 'jpg'}, 987515207: {'path': 'temp/1738464068_2241491_987515207_de216ddb041e249524b0fb2b949064a5.jpg', 'extension': 'jpg'}, 987515208: {'path': 'temp/1738464068_2241491_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg', 'extension': 'jpg'}, 987515209: {'path': 'temp/1738464068_2241491_987515209_02dfe1ae39f51994652f4a8538844aea.jpg', 'extension': 'jpg'}, 987515211: {'path': 'temp/1738464068_2241491_987515211_72cc7664d45bd40477351b9b764f1500.jpg', 'extension': 'jpg'}, 987515212: {'path': 'temp/1738464068_2241491_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515213: {'path': 'temp/1738464068_2241491_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515215: {'path': 'temp/1738464068_2241491_987515215_902ef348a7eebb9a8b87f42927347936.jpg', 'extension': 'jpg'}, 987515216: {'path': 'temp/1738464068_2241491_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg', 'extension': 'jpg'}, 987515217: {'path': 'temp/1738464068_2241491_987515217_78877bb2c5760be28518d17f77d1c609.jpg', 'extension': 'jpg'}, 987515219: {'path': 'temp/1738464068_2241491_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg', 'extension': 'jpg'}, 987515220: {'path': 'temp/1738464068_2241491_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg', 'extension': 'jpg'}, 987515222: {'path': 'temp/1738464068_2241491_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg', 'extension': 'jpg'}, 987515223: {'path': 'temp/1738464068_2241491_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg', 'extension': 'jpg'}, 987515239: {'path': 'temp/1738464068_2241491_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg', 'extension': 'jpg'}, 987515240: {'path': 'temp/1738464068_2241491_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg', 'extension': 'jpg'}, 987515241: {'path': 'temp/1738464068_2241491_987515241_073420d938f5f010ffd5b4353c064e09.jpg', 'extension': 'jpg'}, 987515242: {'path': 'temp/1738464068_2241491_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg', 'extension': 'jpg'}, 987515243: {'path': 'temp/1738464068_2241491_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg', 'extension': 'jpg'}, 987515244: {'path': 'temp/1738464068_2241491_987515244_419530eaef5ef868f75c758b94eea4b4.jpg', 'extension': 'jpg'}, 987515245: {'path': 'temp/1738464068_2241491_987515245_757d9d208d5bd4375c5f21f68b699148.jpg', 'extension': 'jpg'}, 987515246: {'path': 'temp/1738464068_2241491_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg', 'extension': 'jpg'}, 987515247: {'path': 'temp/1738464068_2241491_987515247_e47b65403df916ba909bc9c439b0af73.jpg', 'extension': 'jpg'}, 987515248: {'path': 'temp/1738464068_2241491_987515248_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515249: {'path': 'temp/1738464068_2241491_987515249_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515250: {'path': 'temp/1738464068_2241491_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg', 'extension': 'jpg'}, 987515175: {'path': 'temp/1738464068_2241491_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg', 'extension': 'jpg'}, 987515176: {'path': 'temp/1738464068_2241491_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg', 'extension': 'jpg'}, 987515177: {'path': 'temp/1738464068_2241491_987515177_4a54e9967227806219ddf45d256539d8.jpg', 'extension': 'jpg'}, 987515178: {'path': 'temp/1738464068_2241491_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg', 'extension': 'jpg'}, 987515179: {'path': 'temp/1738464068_2241491_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'extension': 'jpg'}, 987515180: {'path': 'temp/1738464068_2241491_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'extension': 'jpg'}, 987515181: {'path': 'temp/1738464068_2241491_987515181_1738c2798fb31152809ecb443ac286d6.jpg', 'extension': 'jpg'}, 987515182: {'path': 'temp/1738464068_2241491_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg', 'extension': 'jpg'}, 987515183: {'path': 'temp/1738464068_2241491_987515183_6aab9ca0421398b4899892c10c2594c6.jpg', 'extension': 'jpg'}, 987515184: {'path': 'temp/1738464068_2241491_987515184_19c8c2177209a285df6014d95fe53f2c.jpg', 'extension': 'jpg'}, 987515185: {'path': 'temp/1738464068_2241491_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg', 'extension': 'jpg'}, 987515186: {'path': 'temp/1738464068_2241491_987515186_797def426440b544aa80dbd63a19234a.jpg', 'extension': 'jpg'}, 987515187: {'path': 'temp/1738464068_2241491_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
calculate argmax for thcl : 1528

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.002673625946044922
time spend to save output : 0.001508951187133789
total time spend for step 2 : 0.004182577133178711

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 2
 output : {'987515187': [('987515187', 'Carton', 0.98072356, 1927, '1528'), 'temp/1738464068_2241491_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg'], '987515209': [('987515209', 'Carton', 0.96737546, 1927, '1528'), 'temp/1738464068_2241491_987515209_02dfe1ae39f51994652f4a8538844aea.jpg'], '987515211': [('987515211', 'Carton', 0.9734625, 1927, '1528'), 'temp/1738464068_2241491_987515211_72cc7664d45bd40477351b9b764f1500.jpg'], '987515212': [('987515212', 'Carton', 0.98693997, 1927, '1528'), 'temp/1738464068_2241491_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515213': [('987515213', 'Carton', 0.98690784, 1927, '1528'), 'temp/1738464068_2241491_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515215': [('987515215', 'Papier_Magazine', 0.9939137, 1927, '1528'), 'temp/1738464068_2241491_987515215_902ef348a7eebb9a8b87f42927347936.jpg'], '987515216': [('987515216', 'Papier_Magazine', 0.97747517, 1927, '1528'), 'temp/1738464068_2241491_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg'], '987515217': [('987515217', 'Carton', 0.52924216, 1927, '1528'), 'temp/1738464068_2241491_987515217_78877bb2c5760be28518d17f77d1c609.jpg'], '987515198': [('987515198', 'Carton', 0.9661966, 1927, '1528'), 'temp/1738464068_2241491_987515198_599e80f444c876f407e94b533c89360b.jpg'], '987515200': [('987515200', 'Carton', 0.9859287, 1927, '1528'), 'temp/1738464068_2241491_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg'], '987515201': [('987515201', 'Carton', 0.99544686, 1927, '1528'), 'temp/1738464068_2241491_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg'], '987515202': [('987515202', 'Carton', 0.9911028, 1927, '1528'), 'temp/1738464068_2241491_987515202_3314bd90d1404f31b827d8925abf2d62.jpg'], '987515204': [('987515204', 'Papier_Magazine', 0.9950677, 1927, '1528'), 'temp/1738464068_2241491_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg'], '987515205': [('987515205', 'Papier_Magazine', 0.99085265, 1927, '1528'), 'temp/1738464068_2241491_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg'], '987515224': [('987515224', 'Carton', 0.90872955, 1927, '1528'), 'temp/1738464068_2241491_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg'], '987515188': [('987515188', 'Carton', 0.99567103, 1927, '1528'), 'temp/1738464068_2241491_987515188_4116f9906657a69bb76c2fda982037b9.jpg'], '987515189': [('987515189', 'Carton', 0.9977907, 1927, '1528'), 'temp/1738464068_2241491_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg'], '987515190': [('987515190', 'Carton', 0.9763752, 1927, '1528'), 'temp/1738464068_2241491_987515190_d56932bfc6ba2a8c974c691108755017.jpg'], '987515192': [('987515192', 'Papier_Magazine', 0.9999113, 1927, '1528'), 'temp/1738464068_2241491_987515192_b661073b218f5f056833d6af1c617153.jpg'], '987515193': [('987515193', 'Papier_Magazine', 0.99939585, 1927, '1528'), 'temp/1738464068_2241491_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg'], '987515195': [('987515195', 'Carton', 0.9846549, 1927, '1528'), 'temp/1738464068_2241491_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515196': [('987515196', 'Carton', 0.9845883, 1927, '1528'), 'temp/1738464068_2241491_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515219': [('987515219', 'Carton', 0.99936813, 1927, '1528'), 'temp/1738464068_2241491_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg'], '987515220': [('987515220', 'Carton', 0.99637717, 1927, '1528'), 'temp/1738464068_2241491_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg'], '987515222': [('987515222', 'Carton', 0.9974687, 1927, '1528'), 'temp/1738464068_2241491_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg'], '987515223': [('987515223', 'Carton', 0.9920685, 1927, '1528'), 'temp/1738464068_2241491_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg'], '987515239': [('987515239', 'Carton', 0.999783, 1927, '1528'), 'temp/1738464068_2241491_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg'], '987515240': [('987515240', 'Carton', 0.99952185, 1927, '1528'), 'temp/1738464068_2241491_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg'], '987515241': [('987515241', 'Carton', 0.982104, 1927, '1528'), 'temp/1738464068_2241491_987515241_073420d938f5f010ffd5b4353c064e09.jpg'], '987515242': [('987515242', 'Carton', 0.93588746, 1927, '1528'), 'temp/1738464068_2241491_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg'], '987515243': [('987515243', 'Papier_Magazine', 0.8742767, 1927, '1528'), 'temp/1738464068_2241491_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg'], '987515244': [('987515244', 'Papier_Magazine', 0.81755716, 1927, '1528'), 'temp/1738464068_2241491_987515244_419530eaef5ef868f75c758b94eea4b4.jpg'], '987515245': [('987515245', 'Carton', 0.86612564, 1927, '1528'), 'temp/1738464068_2241491_987515245_757d9d208d5bd4375c5f21f68b699148.jpg'], '987515246': [('987515246', 'Carton', 0.99923193, 1927, '1528'), 'temp/1738464068_2241491_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg'], '987515247': [('987515247', 'Carton', 0.9996692, 1927, '1528'), 'temp/1738464068_2241491_987515247_e47b65403df916ba909bc9c439b0af73.jpg'], '987515248': [('987515248', 'Carton', 0.9813098, 1927, '1528'), 'temp/1738464068_2241491_987515248_a70ad88462a22fb62a120721a42b2d42.jpg'], '987515249': [('987515249', 'Carton', 0.9813207, 1927, '1528'), 'temp/1738464068_2241491_987515249_a70ad88462a22fb62a120721a42b2d42.jpg'], '987515250': [('987515250', 'Carton', 0.9808096, 1927, '1528'), 'temp/1738464068_2241491_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg'], '987515175': [('987515175', 'Papier_Magazine', 0.99981374, 1927, '1528'), 'temp/1738464068_2241491_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515176': [('987515176', 'Papier_Magazine', 0.99981266, 1927, '1528'), 'temp/1738464068_2241491_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515177': [('987515177', 'Papier_Magazine', 0.97718644, 1927, '1528'), 'temp/1738464068_2241491_987515177_4a54e9967227806219ddf45d256539d8.jpg'], '987515178': [('987515178', 'Carton', 0.8575826, 1927, '1528'), 'temp/1738464068_2241491_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg'], '987515179': [('987515179', 'Carton', 0.9269353, 1927, '1528'), 'temp/1738464068_2241491_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg'], '987515226': [('987515226', 'Papier_Magazine', 0.98700964, 1927, '1528'), 'temp/1738464068_2241491_987515226_a18048dca1a77ae086b62cf07759f704.jpg'], '987515227': [('987515227', 'Papier_Magazine', 0.9000123, 1927, '1528'), 'temp/1738464068_2241491_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg'], '987515228': [('987515228', 'Papier_Magazine', 0.52216494, 1927, '1528'), 'temp/1738464068_2241491_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg'], '987515230': [('987515230', 'Carton', 0.99940395, 1927, '1528'), 'temp/1738464068_2241491_987515230_846ad925884264181565c81d152a2e94.jpg'], '987515231': [('987515231', 'Carton', 0.9994209, 1927, '1528'), 'temp/1738464068_2241491_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg'], '987515232': [('987515232', 'Carton', 0.9992449, 1927, '1528'), 'temp/1738464068_2241491_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg'], '987515233': [('987515233', 'Carton', 0.98342335, 1927, '1528'), 'temp/1738464068_2241491_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg'], '987515234': [('987515234', 'Carton', 0.9449514, 1927, '1528'), 'temp/1738464068_2241491_987515234_2eca3480aed0f8b876242675ad99b666.jpg'], '987515235': [('987515235', 'Papier_Magazine', 0.8918651, 1927, '1528'), 'temp/1738464068_2241491_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg'], '987515236': [('987515236', 'Papier_Magazine', 0.5367964, 1927, '1528'), 'temp/1738464068_2241491_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg'], '987515237': [('987515237', 'Carton', 0.7694283, 1927, '1528'), 'temp/1738464068_2241491_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg'], '987515238': [('987515238', 'Carton', 0.9995741, 1927, '1528'), 'temp/1738464068_2241491_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg'], '987515207': [('987515207', 'Papier_Magazine', 0.8740548, 1927, '1528'), 'temp/1738464068_2241491_987515207_de216ddb041e249524b0fb2b949064a5.jpg'], '987515208': [('987515208', 'Carton', 0.99171877, 1927, '1528'), 'temp/1738464068_2241491_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg'], '987515180': [('987515180', 'Carton', 0.9899678, 1927, '1528'), 'temp/1738464068_2241491_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg'], '987515181': [('987515181', 'Carton', 0.99778074, 1927, '1528'), 'temp/1738464068_2241491_987515181_1738c2798fb31152809ecb443ac286d6.jpg'], '987515182': [('987515182', 'Carton', 0.9924299, 1927, '1528'), 'temp/1738464068_2241491_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg'], '987515183': [('987515183', 'Papier_Magazine', 0.99999213, 1927, '1528'), 'temp/1738464068_2241491_987515183_6aab9ca0421398b4899892c10c2594c6.jpg'], '987515184': [('987515184', 'Papier_Magazine', 0.9997316, 1927, '1528'), 'temp/1738464068_2241491_987515184_19c8c2177209a285df6014d95fe53f2c.jpg'], '987515185': [('987515185', 'Papier_Magazine', 0.7977545, 1927, '1528'), 'temp/1738464068_2241491_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg'], '987515186': [('987515186', 'Carton', 0.98472416, 1927, '1528'), 'temp/1738464068_2241491_987515186_797def426440b544aa80dbd63a19234a.jpg']}
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1879

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1879
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1879
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1879
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : detect_points
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (987515173) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 987515173
download finish for photo 987515173
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.1696765422821045
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:detect_points
Sun Feb  2 03:42:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464132_2241491_987515173_91fa471b1a04f95b356afdbaf021f623.jpg': 987515173}
map_photo_id_path_extension : {987515173: {'path': 'temp/1738464132_2241491_987515173_91fa471b1a04f95b356afdbaf021f623.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step predict points !
Inside try reload !
classes : ['Autre_Environement', 'Carton', 'Kraft', 'Lointain_Papier_Magazine', 'Metal', 'Papier_Magazine', 'Plastique', 'Sol_Environement', 'Teint_Dans_La_Masse', 'autre_refus']
pht : 1927
model_name : learn_refus_upm_blanches_1924
{'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'}
gpu_mode in detect_points : 1
To load net FromThcl()
model_param file didn't exist 
model_name : learn_refus_upm_blanches_1924
model_type : caffe
list file need :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file exist in s3 :
['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file manque in s3 : 
['deploy_conv_normal.prototxt', 'deploy_fc.prototxt']
local folder  : /data/models_weight/learn_refus_upm_blanches_1924


/data/models_weight/learn_refus_upm_blanches_1924/caffemodel
size_local : 45774543 size in s3 : 45774543
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
caffemodel already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt
size_local : 17312 size in s3 : 17312
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:03
deploy.prototxt already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/mean.npy
size_local : 1572992 size in s3 : 1572992
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:05
mean.npy already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/synset_words.txt
size_local : 218 size in s3 : 218
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
synset_words.txt already exist and didn't need to update
reshape net's input to : (224, 224)
origin shape : (10, 3, 224, 224)
after reshape : (1, 3, 224, 224)
[('data', (1, 3, 224, 224)), ('conv1', (1, 64, 112, 112)), ('pool1', (1, 64, 56, 56)), ('pool1_pool1_0_split_0', (1, 64, 56, 56)), ('pool1_pool1_0_split_1', (1, 64, 56, 56)), ('res2a_branch1', (1, 64, 56, 56)), ('res2a_branch2a', (1, 64, 56, 56)), ('res2a_branch2b', (1, 64, 56, 56)), ('res2a', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_0', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_1', (1, 64, 56, 56)), ('res2b_branch2a', (1, 64, 56, 56)), ('res2b_branch2b', (1, 64, 56, 56)), ('res2b', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_0', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_1', (1, 64, 56, 56)), ('res3a_branch1', (1, 128, 28, 28)), ('res3a_branch2a', (1, 128, 28, 28)), ('res3a_branch2b', (1, 128, 28, 28)), ('res3a', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_0', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_1', (1, 128, 28, 28)), ('res3b_branch2a', (1, 128, 28, 28)), ('res3b_branch2b', (1, 128, 28, 28)), ('res3b', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_0', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_1', (1, 128, 28, 28)), ('res4a_branch1', (1, 256, 14, 14)), ('res4a_branch2a', (1, 256, 14, 14)), ('res4a_branch2b', (1, 256, 14, 14)), ('res4a', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_0', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_1', (1, 256, 14, 14)), ('res4b_branch2a', (1, 256, 14, 14)), ('res4b_branch2b', (1, 256, 14, 14)), ('res4b', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_0', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_1', (1, 256, 14, 14)), ('res5a_branch1', (1, 512, 7, 7)), ('res5a_branch2a', (1, 512, 7, 7)), ('res5a_branch2b', (1, 512, 7, 7)), ('res5a', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_0', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_1', (1, 512, 7, 7)), ('res5b_branch2a', (1, 512, 7, 7)), ('res5b_branch2b', (1, 512, 7, 7)), ('res5b', (1, 512, 7, 7)), ('fc2019-10-22_15-02-46', (1, 10, 1, 1)), ('prob', (1, 10, 1, 1))]
set image transformer : 
About to compute detect the points : len(args) : 1
Inside predict_points step exec : nb paths : 1
treate image : temp/1738464132_2241491_987515173_91fa471b1a04f95b356afdbaf021f623.jpg

size of numpy array img : 2408584
scale method : caffe/skimage 
size of numpy array img_scale : 2408584 (448, 448, 3)
nb_h 8 nb_w 8 size of sub images : (224, 224, 3)
size of caffe_input : 38535320 (64, 3, 224, 224)
time to do the preprocess : 0.0390775203704834
time to do a prediction : 0.4233720302581787
dict_keys(['prob'])
shape of output 
(64, 10, 1, 1)
shape of the out_put heatmap
(10, 8, 8)
number of sub_photos  vertical and horizon
8 8
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 3.058476209640503
time spend to save output : 7.033348083496094e-05
total time spend for step 1 : 3.058546543121338

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {987515173: [(987515173, 1982, 'Autre_Environement', 112, -1, 112, -1, 6.222378948900209e-12), (987515173, 1982, 'Autre_Environement', 144, -1, 112, -1, 2.4400618678366293e-11), (987515173, 1982, 'Autre_Environement', 176, -1, 112, -1, 1.0569843666985435e-08), (987515173, 1982, 'Autre_Environement', 208, -1, 112, -1, 4.454568909295631e-07), (987515173, 1982, 'Autre_Environement', 240, -1, 112, -1, 1.9252331640018383e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 112, -1, 3.7852179957553744e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 112, -1, 0.00012237828923389316), (987515173, 1982, 'Autre_Environement', 336, -1, 112, -1, 2.9409917260636576e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 144, -1, 2.3511837810019642e-08), (987515173, 1982, 'Autre_Environement', 144, -1, 144, -1, 2.1995582244471734e-08), (987515173, 1982, 'Autre_Environement', 176, -1, 144, -1, 1.3774744900274527e-07), (987515173, 1982, 'Autre_Environement', 208, -1, 144, -1, 1.4738589015905745e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 144, -1, 1.1274090866209008e-05), (987515173, 1982, 'Autre_Environement', 272, -1, 144, -1, 0.00015838690160308033), (987515173, 1982, 'Autre_Environement', 304, -1, 144, -1, 0.00044420771882869303), (987515173, 1982, 'Autre_Environement', 336, -1, 144, -1, 6.547530210809782e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 176, -1, 1.3242247405287344e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 176, -1, 1.6362791939172894e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 176, -1, 2.5189501684508286e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 176, -1, 1.616267809367855e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 176, -1, 6.25675102128298e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 176, -1, 8.60033615026623e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 176, -1, 0.00032644817838445306), (987515173, 1982, 'Autre_Environement', 336, -1, 176, -1, 0.00030548335053026676), (987515173, 1982, 'Autre_Environement', 112, -1, 208, -1, 1.8565793652669527e-05), (987515173, 1982, 'Autre_Environement', 144, -1, 208, -1, 7.976936103659682e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 208, -1, 2.7082722226623446e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 208, -1, 1.798494122340344e-05), (987515173, 1982, 'Autre_Environement', 240, -1, 208, -1, 2.295560625498183e-05), (987515173, 1982, 'Autre_Environement', 272, -1, 208, -1, 1.690822136879433e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 208, -1, 4.545225692709209e-06), (987515173, 1982, 'Autre_Environement', 336, -1, 208, -1, 8.779864401731174e-06), (987515173, 1982, 'Autre_Environement', 112, -1, 240, -1, 6.101062353991438e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 240, -1, 1.6424603472842136e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 240, -1, 1.9696340132213663e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 240, -1, 1.4329291389003629e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 240, -1, 7.893211659393273e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 240, -1, 1.28955462059821e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 240, -1, 9.292897630075458e-06), (987515173, 1982, 'Autre_Environement', 336, -1, 240, -1, 2.1675306925317273e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 272, -1, 3.830314653896494e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 272, -1, 2.547564918131684e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 272, -1, 2.963849738080171e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 272, -1, 2.7416569992055884e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 272, -1, 4.29515876021469e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 272, -1, 8.114799129543826e-06), (987515173, 1982, 'Autre_Environement', 304, -1, 272, -1, 1.1509880096127745e-05), (987515173, 1982, 'Autre_Environement', 336, -1, 272, -1, 3.964707502746023e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 304, -1, 1.209866240969859e-05), (987515173, 1982, 'Autre_Environement', 144, -1, 304, -1, 1.5708925275248475e-05), (987515173, 1982, 'Autre_Environement', 176, -1, 304, -1, 3.324952922412194e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 304, -1, 0.00015512290701735765), (987515173, 1982, 'Autre_Environement', 240, -1, 304, -1, 0.0002593722310848534), (987515173, 1982, 'Autre_Environement', 272, -1, 304, -1, 0.00018789178284350783), (987515173, 1982, 'Autre_Environement', 304, -1, 304, -1, 0.00021936152188573033), (987515173, 1982, 'Autre_Environement', 336, -1, 304, -1, 0.0001639817637624219), (987515173, 1982, 'Autre_Environement', 112, -1, 336, -1, 4.5442202463163994e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 336, -1, 1.731591510178987e-05), (987515173, 1982, 'Autre_Environement', 176, -1, 336, -1, 4.9303613195661455e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 336, -1, 0.00012120341853005812), (987515173, 1982, 'Autre_Environement', 240, -1, 336, -1, 0.0001962969108717516), (987515173, 1982, 'Autre_Environement', 272, -1, 336, -1, 0.00018778724188450724), (987515173, 1982, 'Autre_Environement', 304, -1, 336, -1, 0.00012367557792458683), (987515173, 1982, 'Autre_Environement', 336, -1, 336, -1, 0.00027195739676244557), (987515173, 1982, 'Carton', 112, -1, 112, -1, 1.5696636523898633e-07), (987515173, 1982, 'Carton', 144, -1, 112, -1, 4.045950845465995e-06), (987515173, 1982, 'Carton', 176, -1, 112, -1, 6.986057087488007e-06), (987515173, 1982, 'Carton', 208, -1, 112, -1, 0.0008751259301789105), (987515173, 1982, 'Carton', 240, -1, 112, -1, 0.002644830383360386), (987515173, 1982, 'Carton', 272, -1, 112, -1, 0.0034034682903438807), (987515173, 1982, 'Carton', 304, -1, 112, -1, 0.031245341524481773), (987515173, 1982, 'Carton', 336, -1, 112, -1, 0.055926743894815445), (987515173, 1982, 'Carton', 112, -1, 144, -1, 0.00012226177204865962), (987515173, 1982, 'Carton', 144, -1, 144, -1, 0.00020806123211514205), (987515173, 1982, 'Carton', 176, -1, 144, -1, 0.0003684701514430344), (987515173, 1982, 'Carton', 208, -1, 144, -1, 0.006841516587883234), (987515173, 1982, 'Carton', 240, -1, 144, -1, 0.01588386297225952), (987515173, 1982, 'Carton', 272, -1, 144, -1, 0.009412247687578201), (987515173, 1982, 'Carton', 304, -1, 144, -1, 0.009775240905582905), (987515173, 1982, 'Carton', 336, -1, 144, -1, 0.02216983027756214), (987515173, 1982, 'Carton', 112, -1, 176, -1, 0.021816272288560867), (987515173, 1982, 'Carton', 144, -1, 176, -1, 0.19447213411331177), (987515173, 1982, 'Carton', 176, -1, 176, -1, 0.09634599834680557), (987515173, 1982, 'Carton', 208, -1, 176, -1, 0.12365923076868057), (987515173, 1982, 'Carton', 240, -1, 176, -1, 0.5324288010597229), (987515173, 1982, 'Carton', 272, -1, 176, -1, 0.4600445032119751), (987515173, 1982, 'Carton', 304, -1, 176, -1, 0.771091878414154), (987515173, 1982, 'Carton', 336, -1, 176, -1, 0.866152286529541), (987515173, 1982, 'Carton', 112, -1, 208, -1, 0.8502137064933777), (987515173, 1982, 'Carton', 144, -1, 208, -1, 0.9843090176582336), (987515173, 1982, 'Carton', 176, -1, 208, -1, 0.9847174286842346), (987515173, 1982, 'Carton', 208, -1, 208, -1, 0.9919729232788086), (987515173, 1982, 'Carton', 240, -1, 208, -1, 0.9993901252746582), (987515173, 1982, 'Carton', 272, -1, 208, -1, 0.9994150400161743), (987515173, 1982, 'Carton', 304, -1, 208, -1, 0.9995866417884827), (987515173, 1982, 'Carton', 336, -1, 208, -1, 0.9992256164550781), (987515173, 1982, 'Carton', 112, -1, 240, -1, 0.9275773763656616), (987515173, 1982, 'Carton', 144, -1, 240, -1, 0.9809797406196594), (987515173, 1982, 'Carton', 176, -1, 240, -1, 0.965957522392273), (987515173, 1982, 'Carton', 208, -1, 240, -1, 0.9678189158439636), (987515173, 1982, 'Carton', 240, -1, 240, -1, 0.9964002370834351), (987515173, 1982, 'Carton', 272, -1, 240, -1, 0.9994196891784668), (987515173, 1982, 'Carton', 304, -1, 240, -1, 0.9997860789299011), (987515173, 1982, 'Carton', 336, -1, 240, -1, 0.9996691942214966), (987515173, 1982, 'Carton', 112, -1, 272, -1, 0.9895203113555908), (987515173, 1982, 'Carton', 144, -1, 272, -1, 0.9954627156257629), (987515173, 1982, 'Carton', 176, -1, 272, -1, 0.9854597449302673), (987515173, 1982, 'Carton', 208, -1, 272, -1, 0.9732974171638489), (987515173, 1982, 'Carton', 240, -1, 272, -1, 0.9974804520606995), (987515173, 1982, 'Carton', 272, -1, 272, -1, 0.9992056488990784), (987515173, 1982, 'Carton', 304, -1, 272, -1, 0.9995158910751343), (987515173, 1982, 'Carton', 336, -1, 272, -1, 0.9991229176521301), (987515173, 1982, 'Carton', 112, -1, 304, -1, 0.9977753758430481), (987515173, 1982, 'Carton', 144, -1, 304, -1, 0.9977591037750244), (987515173, 1982, 'Carton', 176, -1, 304, -1, 0.9955534338951111), (987515173, 1982, 'Carton', 208, -1, 304, -1, 0.992760181427002), (987515173, 1982, 'Carton', 240, -1, 304, -1, 0.9920018911361694), (987515173, 1982, 'Carton', 272, -1, 304, -1, 0.9835156798362732), (987515173, 1982, 'Carton', 304, -1, 304, -1, 0.9823300242424011), (987515173, 1982, 'Carton', 336, -1, 304, -1, 0.9808361530303955), (987515173, 1982, 'Carton', 112, -1, 336, -1, 0.992455005645752), (987515173, 1982, 'Carton', 144, -1, 336, -1, 0.9762545824050903), (987515173, 1982, 'Carton', 176, -1, 336, -1, 0.9911612272262573), (987515173, 1982, 'Carton', 208, -1, 336, -1, 0.9870002865791321), (987515173, 1982, 'Carton', 240, -1, 336, -1, 0.9085386395454407), (987515173, 1982, 'Carton', 272, -1, 336, -1, 0.9453691244125366), (987515173, 1982, 'Carton', 304, -1, 336, -1, 0.9366360306739807), (987515173, 1982, 'Carton', 336, -1, 336, -1, 0.9808467030525208), (987515173, 1982, 'Kraft', 112, -1, 112, -1, 1.936590665607696e-09), (987515173, 1982, 'Kraft', 144, -1, 112, -1, 1.7048282785481206e-08), (987515173, 1982, 'Kraft', 176, -1, 112, -1, 9.57887550612213e-07), (987515173, 1982, 'Kraft', 208, -1, 112, -1, 3.1530500564258546e-05), (987515173, 1982, 'Kraft', 240, -1, 112, -1, 4.446037200978026e-05), (987515173, 1982, 'Kraft', 272, -1, 112, -1, 0.00020668294746428728), (987515173, 1982, 'Kraft', 304, -1, 112, -1, 0.001076195389032364), (987515173, 1982, 'Kraft', 336, -1, 112, -1, 0.0008284119539894164), (987515173, 1982, 'Kraft', 112, -1, 144, -1, 2.5728815671755e-05), (987515173, 1982, 'Kraft', 144, -1, 144, -1, 6.936485533515224e-06), (987515173, 1982, 'Kraft', 176, -1, 144, -1, 3.6160424770059763e-06), (987515173, 1982, 'Kraft', 208, -1, 144, -1, 3.557050877134316e-05), (987515173, 1982, 'Kraft', 240, -1, 144, -1, 6.705895066261292e-05), (987515173, 1982, 'Kraft', 272, -1, 144, -1, 8.699785394128412e-05), (987515173, 1982, 'Kraft', 304, -1, 144, -1, 0.00012209864507894963), (987515173, 1982, 'Kraft', 336, -1, 144, -1, 0.00011282486957497895), (987515173, 1982, 'Kraft', 112, -1, 176, -1, 0.0004977646749466658), (987515173, 1982, 'Kraft', 144, -1, 176, -1, 0.0001248752378160134), (987515173, 1982, 'Kraft', 176, -1, 176, -1, 9.042356396093965e-05), (987515173, 1982, 'Kraft', 208, -1, 176, -1, 5.199982842896134e-05), (987515173, 1982, 'Kraft', 240, -1, 176, -1, 0.00011539208935573697), (987515173, 1982, 'Kraft', 272, -1, 176, -1, 0.0004349051450844854), (987515173, 1982, 'Kraft', 304, -1, 176, -1, 0.0009203096269629896), (987515173, 1982, 'Kraft', 336, -1, 176, -1, 0.0014276982983574271), (987515173, 1982, 'Kraft', 112, -1, 208, -1, 6.884569302201271e-05), (987515173, 1982, 'Kraft', 144, -1, 208, -1, 1.8521743186283857e-05), (987515173, 1982, 'Kraft', 176, -1, 208, -1, 2.5951105271815322e-05), (987515173, 1982, 'Kraft', 208, -1, 208, -1, 3.5487224522512406e-05), (987515173, 1982, 'Kraft', 240, -1, 208, -1, 3.661829396151006e-05), (987515173, 1982, 'Kraft', 272, -1, 208, -1, 8.672391413711011e-05), (987515173, 1982, 'Kraft', 304, -1, 208, -1, 0.0001241185236722231), (987515173, 1982, 'Kraft', 336, -1, 208, -1, 0.00039203447522595525), (987515173, 1982, 'Kraft', 112, -1, 240, -1, 0.00030757312197238207), (987515173, 1982, 'Kraft', 144, -1, 240, -1, 4.162563709542155e-05), (987515173, 1982, 'Kraft', 176, -1, 240, -1, 1.2285712728044018e-05), (987515173, 1982, 'Kraft', 208, -1, 240, -1, 7.340162937907735e-06), (987515173, 1982, 'Kraft', 240, -1, 240, -1, 2.2958962290431373e-05), (987515173, 1982, 'Kraft', 272, -1, 240, -1, 5.884098936803639e-05), (987515173, 1982, 'Kraft', 304, -1, 240, -1, 6.564608338521793e-05), (987515173, 1982, 'Kraft', 336, -1, 240, -1, 0.00018672412261366844), (987515173, 1982, 'Kraft', 112, -1, 272, -1, 0.001462324638850987), (987515173, 1982, 'Kraft', 144, -1, 272, -1, 0.0006886203773319721), (987515173, 1982, 'Kraft', 176, -1, 272, -1, 0.0002738926268648356), (987515173, 1982, 'Kraft', 208, -1, 272, -1, 4.335801713750698e-05), (987515173, 1982, 'Kraft', 240, -1, 272, -1, 3.306355938548222e-05), (987515173, 1982, 'Kraft', 272, -1, 272, -1, 8.247153164120391e-05), (987515173, 1982, 'Kraft', 304, -1, 272, -1, 0.00011202717723790556), (987515173, 1982, 'Kraft', 336, -1, 272, -1, 0.00042627245420590043), (987515173, 1982, 'Kraft', 112, -1, 304, -1, 0.0009944415651261806), (987515173, 1982, 'Kraft', 144, -1, 304, -1, 0.0009031129302456975), (987515173, 1982, 'Kraft', 176, -1, 304, -1, 0.0006185384700074792), (987515173, 1982, 'Kraft', 208, -1, 304, -1, 0.0010866448283195496), (987515173, 1982, 'Kraft', 240, -1, 304, -1, 0.0017949918983504176), (987515173, 1982, 'Kraft', 272, -1, 304, -1, 0.004679689649492502), (987515173, 1982, 'Kraft', 304, -1, 304, -1, 0.004766771104186773), (987515173, 1982, 'Kraft', 336, -1, 304, -1, 0.012517757713794708), (987515173, 1982, 'Kraft', 112, -1, 336, -1, 0.0021742042154073715), (987515173, 1982, 'Kraft', 144, -1, 336, -1, 0.005719625391066074), (987515173, 1982, 'Kraft', 176, -1, 336, -1, 0.0008295357692986727), (987515173, 1982, 'Kraft', 208, -1, 336, -1, 0.0012545229401439428), (987515173, 1982, 'Kraft', 240, -1, 336, -1, 0.0077680074609816074), (987515173, 1982, 'Kraft', 272, -1, 336, -1, 0.012521011754870415), (987515173, 1982, 'Kraft', 304, -1, 336, -1, 0.01798698678612709), (987515173, 1982, 'Kraft', 336, -1, 336, -1, 0.007759268395602703), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 112, -1, 1.4806207648820902e-10), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 112, -1, 8.234470882939604e-09), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 112, -1, 5.482763185682415e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 112, -1, 5.508535650733393e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 112, -1, 8.248408448707778e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 112, -1, 3.550532346707769e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 112, -1, 8.127713954309002e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 112, -1, 4.2088729969691485e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 144, -1, 3.597788236220367e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 144, -1, 1.3015941249250318e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 144, -1, 2.467917056492297e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 144, -1, 3.4537247302068863e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 144, -1, 5.706400770577602e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 144, -1, 2.0637764464481734e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 144, -1, 3.9005470171105117e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 144, -1, 1.3682393728231546e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 176, -1, 3.88867505307644e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 176, -1, 2.5720198664203053e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 176, -1, 1.1996902685496025e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 176, -1, 7.82096049078973e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 176, -1, 6.357771326293005e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 176, -1, 2.634951306390576e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 176, -1, 3.919541632058099e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 176, -1, 1.848306601459626e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 208, -1, 1.7982222288992489e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 208, -1, 5.720953595300671e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 208, -1, 2.201583811256569e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 208, -1, 1.7309949953414616e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 208, -1, 3.936294774575799e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 208, -1, 2.0223949093178817e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 208, -1, 9.891140706486112e-08), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 208, -1, 8.65279332629143e-08), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 240, -1, 1.821531782297825e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 240, -1, 6.326804395939689e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 240, -1, 7.875941037127632e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 240, -1, 6.388069664353679e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 240, -1, 7.712848173468956e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 240, -1, 5.211704774410464e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 240, -1, 1.773307189978368e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 240, -1, 1.4428692907131335e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 272, -1, 4.186073567780113e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 272, -1, 3.16953588708202e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 272, -1, 5.094299240226974e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 272, -1, 7.32465537112148e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 272, -1, 3.995310464688373e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 272, -1, 3.204259826361522e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 272, -1, 2.102787135527251e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 272, -1, 3.5085184890704113e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 304, -1, 3.2967616903079033e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 304, -1, 3.2564054208705784e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 304, -1, 8.370416253455915e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 304, -1, 3.3047340366465505e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 304, -1, 4.420505320013035e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 304, -1, 5.041463737143204e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 304, -1, 8.233877451857552e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 304, -1, 5.569461791310459e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 336, -1, 4.183675912372564e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 336, -1, 8.220713425544091e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 336, -1, 7.147587552935875e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 336, -1, 1.9424091988184955e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 336, -1, 3.906492565874942e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 336, -1, 2.4553341972932685e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 336, -1, 3.441954959271243e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 336, -1, 4.843793249165174e-06), (987515173, 1982, 'Metal', 112, -1, 112, -1, 7.32924207436092e-11), (987515173, 1982, 'Metal', 144, -1, 112, -1, 1.9217345492705817e-09), (987515173, 1982, 'Metal', 176, -1, 112, -1, 7.267021260304318e-07), (987515173, 1982, 'Metal', 208, -1, 112, -1, 9.478276297159027e-06), (987515173, 1982, 'Metal', 240, -1, 112, -1, 2.6579256882541813e-05), (987515173, 1982, 'Metal', 272, -1, 112, -1, 0.00016944864182733), (987515173, 1982, 'Metal', 304, -1, 112, -1, 0.0007528787828050554), (987515173, 1982, 'Metal', 336, -1, 112, -1, 0.0003029380168300122), (987515173, 1982, 'Metal', 112, -1, 144, -1, 5.271110126159329e-07), (987515173, 1982, 'Metal', 144, -1, 144, -1, 4.344271928857779e-07), (987515173, 1982, 'Metal', 176, -1, 144, -1, 3.1881318136584014e-06), (987515173, 1982, 'Metal', 208, -1, 144, -1, 9.604024853615556e-06), (987515173, 1982, 'Metal', 240, -1, 144, -1, 1.655070809647441e-05), (987515173, 1982, 'Metal', 272, -1, 144, -1, 7.673536310903728e-05), (987515173, 1982, 'Metal', 304, -1, 144, -1, 0.00013125095574650913), (987515173, 1982, 'Metal', 336, -1, 144, -1, 4.669315239880234e-05), (987515173, 1982, 'Metal', 112, -1, 176, -1, 5.87900558457477e-06), (987515173, 1982, 'Metal', 144, -1, 176, -1, 4.056393208884401e-06), (987515173, 1982, 'Metal', 176, -1, 176, -1, 1.0126596862392034e-05), (987515173, 1982, 'Metal', 208, -1, 176, -1, 4.166455710219452e-06), (987515173, 1982, 'Metal', 240, -1, 176, -1, 6.650832347077085e-06), (987515173, 1982, 'Metal', 272, -1, 176, -1, 5.435520870378241e-05), (987515173, 1982, 'Metal', 304, -1, 176, -1, 0.0001289572101086378), (987515173, 1982, 'Metal', 336, -1, 176, -1, 6.565333023900166e-05), (987515173, 1982, 'Metal', 112, -1, 208, -1, 8.126015927700792e-06), (987515173, 1982, 'Metal', 144, -1, 208, -1, 2.2723645543010207e-06), (987515173, 1982, 'Metal', 176, -1, 208, -1, 6.663829481112771e-06), (987515173, 1982, 'Metal', 208, -1, 208, -1, 4.595815880747978e-06), (987515173, 1982, 'Metal', 240, -1, 208, -1, 1.6866306395968422e-06), (987515173, 1982, 'Metal', 272, -1, 208, -1, 1.364268769066257e-06), (987515173, 1982, 'Metal', 304, -1, 208, -1, 5.801350653200643e-07), (987515173, 1982, 'Metal', 336, -1, 208, -1, 8.318131676787743e-07), (987515173, 1982, 'Metal', 112, -1, 240, -1, 2.9267157515278086e-06), (987515173, 1982, 'Metal', 144, -1, 240, -1, 7.385209528365522e-07), (987515173, 1982, 'Metal', 176, -1, 240, -1, 6.104144745222584e-07), (987515173, 1982, 'Metal', 208, -1, 240, -1, 6.227190283425443e-07), (987515173, 1982, 'Metal', 240, -1, 240, -1, 1.1987788184342207e-06), (987515173, 1982, 'Metal', 272, -1, 240, -1, 7.014862148935208e-07), (987515173, 1982, 'Metal', 304, -1, 240, -1, 3.1475292416871525e-07), (987515173, 1982, 'Metal', 336, -1, 240, -1, 4.1145409568343894e-07), (987515173, 1982, 'Metal', 112, -1, 272, -1, 2.6229213290207554e-06), (987515173, 1982, 'Metal', 144, -1, 272, -1, 8.044873425205878e-07), (987515173, 1982, 'Metal', 176, -1, 272, -1, 8.225950978157925e-07), (987515173, 1982, 'Metal', 208, -1, 272, -1, 3.997936346422648e-07), (987515173, 1982, 'Metal', 240, -1, 272, -1, 2.7225155463384e-07), (987515173, 1982, 'Metal', 272, -1, 272, -1, 3.286352523446112e-07), (987515173, 1982, 'Metal', 304, -1, 272, -1, 3.440711395796825e-07), (987515173, 1982, 'Metal', 336, -1, 272, -1, 1.4808595096837962e-06), (987515173, 1982, 'Metal', 112, -1, 304, -1, 2.3174511625256855e-06), (987515173, 1982, 'Metal', 144, -1, 304, -1, 1.9540796074579703e-06), (987515173, 1982, 'Metal', 176, -1, 304, -1, 4.524245014181361e-06), (987515173, 1982, 'Metal', 208, -1, 304, -1, 1.3382348697632551e-05), (987515173, 1982, 'Metal', 240, -1, 304, -1, 5.661866453010589e-06), (987515173, 1982, 'Metal', 272, -1, 304, -1, 5.697193955711555e-06), (987515173, 1982, 'Metal', 304, -1, 304, -1, 6.4806754380697384e-06), (987515173, 1982, 'Metal', 336, -1, 304, -1, 7.370033017650712e-06), (987515173, 1982, 'Metal', 112, -1, 336, -1, 7.1261642915487755e-06), (987515173, 1982, 'Metal', 144, -1, 336, -1, 3.309826206532307e-05), (987515173, 1982, 'Metal', 176, -1, 336, -1, 4.008921314380132e-05), (987515173, 1982, 'Metal', 208, -1, 336, -1, 7.569274748675525e-05), (987515173, 1982, 'Metal', 240, -1, 336, -1, 0.00012090665404684842), (987515173, 1982, 'Metal', 272, -1, 336, -1, 3.710941018653102e-05), (987515173, 1982, 'Metal', 304, -1, 336, -1, 2.913463868026156e-05), (987515173, 1982, 'Metal', 336, -1, 336, -1, 2.807571399898734e-05), (987515173, 1982, 'Papier_Magazine', 112, -1, 112, -1, 0.9999953508377075), (987515173, 1982, 'Papier_Magazine', 144, -1, 112, -1, 0.9999926090240479), (987515173, 1982, 'Papier_Magazine', 176, -1, 112, -1, 0.9999086856842041), (987515173, 1982, 'Papier_Magazine', 208, -1, 112, -1, 0.9949536919593811), (987515173, 1982, 'Papier_Magazine', 240, -1, 112, -1, 0.9937614798545837), (987515173, 1982, 'Papier_Magazine', 272, -1, 112, -1, 0.9866628050804138), (987515173, 1982, 'Papier_Magazine', 304, -1, 112, -1, 0.8924726843833923), (987515173, 1982, 'Papier_Magazine', 336, -1, 112, -1, 0.8721462488174438), (987515173, 1982, 'Papier_Magazine', 112, -1, 144, -1, 0.9998167157173157), (987515173, 1982, 'Papier_Magazine', 144, -1, 144, -1, 0.999743640422821), (987515173, 1982, 'Papier_Magazine', 176, -1, 144, -1, 0.9994127750396729), (987515173, 1982, 'Papier_Magazine', 208, -1, 144, -1, 0.9911919236183167), (987515173, 1982, 'Papier_Magazine', 240, -1, 144, -1, 0.9781374931335449), (987515173, 1982, 'Papier_Magazine', 272, -1, 144, -1, 0.8998574614524841), (987515173, 1982, 'Papier_Magazine', 304, -1, 144, -1, 0.5356934666633606), (987515173, 1982, 'Papier_Magazine', 336, -1, 144, -1, 0.8106384873390198), (987515173, 1982, 'Papier_Magazine', 112, -1, 176, -1, 0.9776437878608704), (987515173, 1982, 'Papier_Magazine', 144, -1, 176, -1, 0.8051626682281494), (987515173, 1982, 'Papier_Magazine', 176, -1, 176, -1, 0.9029363393783569), (987515173, 1982, 'Papier_Magazine', 208, -1, 176, -1, 0.8750483393669128), (987515173, 1982, 'Papier_Magazine', 240, -1, 176, -1, 0.46612241864204407), (987515173, 1982, 'Papier_Magazine', 272, -1, 176, -1, 0.5260506272315979), (987515173, 1982, 'Papier_Magazine', 304, -1, 176, -1, 0.16658808290958405), (987515173, 1982, 'Papier_Magazine', 336, -1, 176, -1, 0.11062293499708176), (987515173, 1982, 'Papier_Magazine', 112, -1, 208, -1, 0.14950516819953918), (987515173, 1982, 'Papier_Magazine', 144, -1, 208, -1, 0.015431544743478298), (987515173, 1982, 'Papier_Magazine', 176, -1, 208, -1, 0.014812621288001537), (987515173, 1982, 'Papier_Magazine', 208, -1, 208, -1, 0.00756653631106019), (987515173, 1982, 'Papier_Magazine', 240, -1, 208, -1, 0.0003399392298888415), (987515173, 1982, 'Papier_Magazine', 272, -1, 208, -1, 0.0001687238982412964), (987515173, 1982, 'Papier_Magazine', 304, -1, 208, -1, 5.40770088264253e-05), (987515173, 1982, 'Papier_Magazine', 336, -1, 208, -1, 6.230801227502525e-05), (987515173, 1982, 'Papier_Magazine', 112, -1, 240, -1, 0.07167891412973404), (987515173, 1982, 'Papier_Magazine', 144, -1, 240, -1, 0.018826385959982872), (987515173, 1982, 'Papier_Magazine', 176, -1, 240, -1, 0.03393654152750969), (987515173, 1982, 'Papier_Magazine', 208, -1, 240, -1, 0.03213575854897499), (987515173, 1982, 'Papier_Magazine', 240, -1, 240, -1, 0.0034828397911041975), (987515173, 1982, 'Papier_Magazine', 272, -1, 240, -1, 0.00034166633849963546), (987515173, 1982, 'Papier_Magazine', 304, -1, 240, -1, 2.9759910830762237e-05), (987515173, 1982, 'Papier_Magazine', 336, -1, 240, -1, 1.6359710571123287e-05), (987515173, 1982, 'Papier_Magazine', 112, -1, 272, -1, 0.008503889665007591), (987515173, 1982, 'Papier_Magazine', 144, -1, 272, -1, 0.003654254600405693), (987515173, 1982, 'Papier_Magazine', 176, -1, 272, -1, 0.01407999824732542), (987515173, 1982, 'Papier_Magazine', 208, -1, 272, -1, 0.02658427134156227), (987515173, 1982, 'Papier_Magazine', 240, -1, 272, -1, 0.0024445345625281334), (987515173, 1982, 'Papier_Magazine', 272, -1, 272, -1, 0.0006445079925470054), (987515173, 1982, 'Papier_Magazine', 304, -1, 272, -1, 0.0002754167071543634), (987515173, 1982, 'Papier_Magazine', 336, -1, 272, -1, 0.00015975165297277272), (987515173, 1982, 'Papier_Magazine', 112, -1, 304, -1, 0.0010003139032050967), (987515173, 1982, 'Papier_Magazine', 144, -1, 304, -1, 0.00098850904032588), (987515173, 1982, 'Papier_Magazine', 176, -1, 304, -1, 0.0031978762708604336), (987515173, 1982, 'Papier_Magazine', 208, -1, 304, -1, 0.004998487886041403), (987515173, 1982, 'Papier_Magazine', 240, -1, 304, -1, 0.003500500228255987), (987515173, 1982, 'Papier_Magazine', 272, -1, 304, -1, 0.004085177555680275), (987515173, 1982, 'Papier_Magazine', 304, -1, 304, -1, 0.006906784139573574), (987515173, 1982, 'Papier_Magazine', 336, -1, 304, -1, 0.0019606715068221092), (987515173, 1982, 'Papier_Magazine', 112, -1, 336, -1, 0.004855054430663586), (987515173, 1982, 'Papier_Magazine', 144, -1, 336, -1, 0.015452512539923191), (987515173, 1982, 'Papier_Magazine', 176, -1, 336, -1, 0.006799630355089903), (987515173, 1982, 'Papier_Magazine', 208, -1, 336, -1, 0.00795910693705082), (987515173, 1982, 'Papier_Magazine', 240, -1, 336, -1, 0.019058510661125183), (987515173, 1982, 'Papier_Magazine', 272, -1, 336, -1, 0.0036501367576420307), (987515173, 1982, 'Papier_Magazine', 304, -1, 336, -1, 0.00630150455981493), (987515173, 1982, 'Papier_Magazine', 336, -1, 336, -1, 0.004436298739165068), (987515173, 1982, 'Plastique', 112, -1, 112, -1, 5.6141232107620453e-08), (987515173, 1982, 'Plastique', 144, -1, 112, -1, 8.159147455444327e-07), (987515173, 1982, 'Plastique', 176, -1, 112, -1, 6.256080814637244e-05), (987515173, 1982, 'Plastique', 208, -1, 112, -1, 0.0035462668165564537), (987515173, 1982, 'Plastique', 240, -1, 112, -1, 0.0031700001563876867), (987515173, 1982, 'Plastique', 272, -1, 112, -1, 0.007468692492693663), (987515173, 1982, 'Plastique', 304, -1, 112, -1, 0.0547492653131485), (987515173, 1982, 'Plastique', 336, -1, 112, -1, 0.05956268310546875), (987515173, 1982, 'Plastique', 112, -1, 144, -1, 2.755896957751247e-06), (987515173, 1982, 'Plastique', 144, -1, 144, -1, 1.8967084542964585e-05), (987515173, 1982, 'Plastique', 176, -1, 144, -1, 0.00017682967882137746), (987515173, 1982, 'Plastique', 208, -1, 144, -1, 0.0015016354154795408), (987515173, 1982, 'Plastique', 240, -1, 144, -1, 0.005047684069722891), (987515173, 1982, 'Plastique', 272, -1, 144, -1, 0.08478548377752304), (987515173, 1982, 'Plastique', 304, -1, 144, -1, 0.40974822640419006), (987515173, 1982, 'Plastique', 336, -1, 144, -1, 0.07085500657558441), (987515173, 1982, 'Plastique', 112, -1, 176, -1, 3.926321824110346e-06), (987515173, 1982, 'Plastique', 144, -1, 176, -1, 9.550068352837116e-05), (987515173, 1982, 'Plastique', 176, -1, 176, -1, 0.0003389752237126231), (987515173, 1982, 'Plastique', 208, -1, 176, -1, 0.00038922979729250073), (987515173, 1982, 'Plastique', 240, -1, 176, -1, 0.000622189196292311), (987515173, 1982, 'Plastique', 272, -1, 176, -1, 0.008898383937776089), (987515173, 1982, 'Plastique', 304, -1, 176, -1, 0.037348244339227676), (987515173, 1982, 'Plastique', 336, -1, 176, -1, 0.0020713433623313904), (987515173, 1982, 'Plastique', 112, -1, 208, -1, 7.618794916197658e-05), (987515173, 1982, 'Plastique', 144, -1, 208, -1, 4.152804831392132e-05), (987515173, 1982, 'Plastique', 176, -1, 208, -1, 8.25697134132497e-05), (987515173, 1982, 'Plastique', 208, -1, 208, -1, 3.8299436710076407e-05), (987515173, 1982, 'Plastique', 240, -1, 208, -1, 8.240667739300989e-06), (987515173, 1982, 'Plastique', 272, -1, 208, -1, 1.1940247532038484e-05), (987515173, 1982, 'Plastique', 304, -1, 208, -1, 1.2167646673333365e-05), (987515173, 1982, 'Plastique', 336, -1, 208, -1, 4.104117124370532e-06), (987515173, 1982, 'Plastique', 112, -1, 240, -1, 0.00014464052219409496), (987515173, 1982, 'Plastique', 144, -1, 240, -1, 3.530570393195376e-05), (987515173, 1982, 'Plastique', 176, -1, 240, -1, 2.1233541701803915e-05), (987515173, 1982, 'Plastique', 208, -1, 240, -1, 7.349878160312073e-06), (987515173, 1982, 'Plastique', 240, -1, 240, -1, 4.862713922193507e-06), (987515173, 1982, 'Plastique', 272, -1, 240, -1, 2.7812159260065528e-06), (987515173, 1982, 'Plastique', 304, -1, 240, -1, 7.9742267189431e-07), (987515173, 1982, 'Plastique', 336, -1, 240, -1, 3.5323458291713905e-07), (987515173, 1982, 'Plastique', 112, -1, 272, -1, 3.370598642504774e-05), (987515173, 1982, 'Plastique', 144, -1, 272, -1, 1.1657458344416227e-05), (987515173, 1982, 'Plastique', 176, -1, 272, -1, 1.3412164662440773e-05), (987515173, 1982, 'Plastique', 208, -1, 272, -1, 5.4183283282327466e-06), (987515173, 1982, 'Plastique', 240, -1, 272, -1, 9.516161867395567e-07), (987515173, 1982, 'Plastique', 272, -1, 272, -1, 6.841042932137498e-07), (987515173, 1982, 'Plastique', 304, -1, 272, -1, 5.709790116270597e-07), (987515173, 1982, 'Plastique', 336, -1, 272, -1, 7.471766139133251e-07), (987515173, 1982, 'Plastique', 112, -1, 304, -1, 3.3624403386056656e-06), (987515173, 1982, 'Plastique', 144, -1, 304, -1, 3.3564776913408423e-06), (987515173, 1982, 'Plastique', 176, -1, 304, -1, 6.499857590824831e-06), (987515173, 1982, 'Plastique', 208, -1, 304, -1, 8.74979104992235e-06), (987515173, 1982, 'Plastique', 240, -1, 304, -1, 3.3898852507263655e-06), (987515173, 1982, 'Plastique', 272, -1, 304, -1, 4.761940544995014e-06), (987515173, 1982, 'Plastique', 304, -1, 304, -1, 4.486297711991938e-06), (987515173, 1982, 'Plastique', 336, -1, 304, -1, 2.416018787698704e-06), (987515173, 1982, 'Plastique', 112, -1, 336, -1, 1.5474468455067836e-05), (987515173, 1982, 'Plastique', 144, -1, 336, -1, 5.348218837752938e-05), (987515173, 1982, 'Plastique', 176, -1, 336, -1, 3.425710747251287e-05), (987515173, 1982, 'Plastique', 208, -1, 336, -1, 2.362397572142072e-05), (987515173, 1982, 'Plastique', 240, -1, 336, -1, 3.849585118587129e-05), (987515173, 1982, 'Plastique', 272, -1, 336, -1, 2.5724704755702987e-05), (987515173, 1982, 'Plastique', 304, -1, 336, -1, 3.32572526531294e-05), (987515173, 1982, 'Plastique', 336, -1, 336, -1, 4.182809789199382e-05), (987515173, 1982, 'Sol_Environement', 112, -1, 112, -1, 2.868419477636275e-12), (987515173, 1982, 'Sol_Environement', 144, -1, 112, -1, 5.523121959782884e-10), (987515173, 1982, 'Sol_Environement', 176, -1, 112, -1, 4.900385874861968e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 112, -1, 1.0154673873330466e-05), (987515173, 1982, 'Sol_Environement', 240, -1, 112, -1, 9.195432539854664e-06), (987515173, 1982, 'Sol_Environement', 272, -1, 112, -1, 5.606772901955992e-05), (987515173, 1982, 'Sol_Environement', 304, -1, 112, -1, 0.0003773991484194994), (987515173, 1982, 'Sol_Environement', 336, -1, 112, -1, 0.0001645895972615108), (987515173, 1982, 'Sol_Environement', 112, -1, 144, -1, 1.0082852952564281e-07), (987515173, 1982, 'Sol_Environement', 144, -1, 144, -1, 5.764662205365312e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 144, -1, 1.434514388165553e-06), (987515173, 1982, 'Sol_Environement', 208, -1, 144, -1, 5.8842470025410876e-06), (987515173, 1982, 'Sol_Environement', 240, -1, 144, -1, 1.8212500435765833e-05), (987515173, 1982, 'Sol_Environement', 272, -1, 144, -1, 0.0001265182509087026), (987515173, 1982, 'Sol_Environement', 304, -1, 144, -1, 0.0003240719670429826), (987515173, 1982, 'Sol_Environement', 336, -1, 144, -1, 9.647771366871893e-05), (987515173, 1982, 'Sol_Environement', 112, -1, 176, -1, 4.1730774569259665e-07), (987515173, 1982, 'Sol_Environement', 144, -1, 176, -1, 1.0271594419464236e-06), (987515173, 1982, 'Sol_Environement', 176, -1, 176, -1, 6.567757282027742e-06), (987515173, 1982, 'Sol_Environement', 208, -1, 176, -1, 1.724419121273968e-06), (987515173, 1982, 'Sol_Environement', 240, -1, 176, -1, 3.7257050280459225e-06), (987515173, 1982, 'Sol_Environement', 272, -1, 176, -1, 2.7936097467318177e-05), (987515173, 1982, 'Sol_Environement', 304, -1, 176, -1, 0.000153595203300938), (987515173, 1982, 'Sol_Environement', 336, -1, 176, -1, 0.0002425200364086777), (987515173, 1982, 'Sol_Environement', 112, -1, 208, -1, 4.007548795925686e-06), (987515173, 1982, 'Sol_Environement', 144, -1, 208, -1, 7.556081982329488e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 208, -1, 1.33563264625991e-06), (987515173, 1982, 'Sol_Environement', 208, -1, 208, -1, 9.055275427272136e-07), (987515173, 1982, 'Sol_Environement', 240, -1, 208, -1, 6.80568007283e-07), (987515173, 1982, 'Sol_Environement', 272, -1, 208, -1, 1.0802282304211985e-06), (987515173, 1982, 'Sol_Environement', 304, -1, 208, -1, 1.4485206065728562e-06), (987515173, 1982, 'Sol_Environement', 336, -1, 208, -1, 2.315394340257626e-06), (987515173, 1982, 'Sol_Environement', 112, -1, 240, -1, 4.609717507264577e-06), (987515173, 1982, 'Sol_Environement', 144, -1, 240, -1, 3.760850120215764e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 240, -1, 2.4972308665383025e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 240, -1, 2.162102106240127e-07), (987515173, 1982, 'Sol_Environement', 240, -1, 240, -1, 5.594059757640935e-07), (987515173, 1982, 'Sol_Environement', 272, -1, 240, -1, 8.702729701326462e-07), (987515173, 1982, 'Sol_Environement', 304, -1, 240, -1, 6.638645686507516e-07), (987515173, 1982, 'Sol_Environement', 336, -1, 240, -1, 7.819636493877624e-07), (987515173, 1982, 'Sol_Environement', 112, -1, 272, -1, 2.998317086166935e-06), (987515173, 1982, 'Sol_Environement', 144, -1, 272, -1, 6.870469633213361e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 272, -1, 5.019783770876529e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 272, -1, 2.0003250256195315e-07), (987515173, 1982, 'Sol_Environement', 240, -1, 272, -1, 1.305952253005671e-07), (987515173, 1982, 'Sol_Environement', 272, -1, 272, -1, 2.665562988113379e-07), (987515173, 1982, 'Sol_Environement', 304, -1, 272, -1, 1.6129426683164638e-07), (987515173, 1982, 'Sol_Environement', 336, -1, 272, -1, 4.879660195911129e-07), (987515173, 1982, 'Sol_Environement', 112, -1, 304, -1, 7.007463409536285e-07), (987515173, 1982, 'Sol_Environement', 144, -1, 304, -1, 4.0527470446249936e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 304, -1, 8.905301456252346e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 304, -1, 2.3423306174663594e-06), (987515173, 1982, 'Sol_Environement', 240, -1, 304, -1, 3.07040500047151e-06), (987515173, 1982, 'Sol_Environement', 272, -1, 304, -1, 2.6742143290903186e-06), (987515173, 1982, 'Sol_Environement', 304, -1, 304, -1, 1.5407905493702856e-06), (987515173, 1982, 'Sol_Environement', 336, -1, 304, -1, 1.6071425079644541e-06), (987515173, 1982, 'Sol_Environement', 112, -1, 336, -1, 4.6218934812713997e-07), (987515173, 1982, 'Sol_Environement', 144, -1, 336, -1, 1.1270371942373458e-06), (987515173, 1982, 'Sol_Environement', 176, -1, 336, -1, 6.7951765458929e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 336, -1, 1.428649625268008e-06), (987515173, 1982, 'Sol_Environement', 240, -1, 336, -1, 3.329459332235274e-06), (987515173, 1982, 'Sol_Environement', 272, -1, 336, -1, 2.1186540379858343e-06), (987515173, 1982, 'Sol_Environement', 304, -1, 336, -1, 2.30047612603812e-06), (987515173, 1982, 'Sol_Environement', 336, -1, 336, -1, 3.3867856927827233e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 112, -1, 4.5763185880787205e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 112, -1, 2.4667410798429046e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 112, -1, 1.7644790204940364e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 112, -1, 0.0004751318192575127), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 112, -1, 0.00011559395352378488), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 112, -1, 0.0002086182648781687), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 112, -1, 0.001436156453564763), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 112, -1, 0.0020172586664557457), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 144, -1, 3.0628001695731655e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 144, -1, 1.7169637430924922e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 144, -1, 2.076337295875419e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 144, -1, 0.00027389483875595033), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 144, -1, 0.00046537109301425517), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 144, -1, 0.000530056597199291), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 144, -1, 0.00019008939852938056), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 144, -1, 0.0002055858785752207), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 176, -1, 1.5017121768323705e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 176, -1, 6.803040378144942e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 176, -1, 2.1028648916399106e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 176, -1, 2.4186203518183902e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 176, -1, 3.5381050111027434e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 176, -1, 7.938392809592187e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 176, -1, 0.00010070369171444327), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 176, -1, 0.0003783076535910368), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 208, -1, 1.5062307284097187e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 208, -1, 1.4706241699968814e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 208, -1, 4.752442691824399e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 208, -1, 3.820905476459302e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 208, -1, 3.5850812309945468e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 208, -1, 1.1633857866399921e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 208, -1, 1.3386453247221652e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 208, -1, 5.924196375417523e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 240, -1, 4.228128454997204e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 240, -1, 5.329504801920848e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 240, -1, 3.921219104086049e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 240, -1, 2.404487986495951e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 240, -1, 5.774598776042694e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 240, -1, 2.1153038687771186e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 240, -1, 1.7846201444626786e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 240, -1, 2.269361175422091e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 272, -1, 0.00020087922166567296), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 272, -1, 6.68616485199891e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 272, -1, 4.3661038944264874e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 272, -1, 1.4478476259682793e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 272, -1, 7.0289911491272505e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 272, -1, 1.533157228550408e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 272, -1, 1.5414047084050253e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 272, -1, 0.00010712390212574974), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 304, -1, 9.4969967904035e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 304, -1, 0.00010994898912031204), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 304, -1, 0.00015803151472937316), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 304, -1, 0.0005424839328043163), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 304, -1, 0.00236088247038424), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 304, -1, 0.007481492590159178), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 304, -1, 0.005744471680372953), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 304, -1, 0.004485584795475006), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 336, -1, 0.00024030204804148525), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 336, -1, 0.0019966147374361753), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 336, -1, 0.0007503638626076281), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 336, -1, 0.003325589932501316), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 336, -1, 0.06416584551334381), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 336, -1, 0.038109004497528076), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 336, -1, 0.03875187039375305), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 336, -1, 0.005876115523278713), (987515173, 1982, 'autre_refus', 112, -1, 112, -1, 5.768084898605252e-10), (987515173, 1982, 'autre_refus', 144, -1, 112, -1, 2.055623227192882e-08), (987515173, 1982, 'autre_refus', 176, -1, 112, -1, 1.434126033927896e-06), (987515173, 1982, 'autre_refus', 208, -1, 112, -1, 9.264342952519655e-05), (987515173, 1982, 'autre_refus', 240, -1, 112, -1, 0.00021761414245702326), (987515173, 1982, 'autre_refus', 272, -1, 112, -1, 0.0017507487209513783), (987515173, 1982, 'autre_refus', 304, -1, 112, -1, 0.017686402425169945), (987515173, 1982, 'autre_refus', 336, -1, 112, -1, 0.00897960551083088), (987515173, 1982, 'autre_refus', 112, -1, 144, -1, 9.10000380827114e-07), (987515173, 1982, 'autre_refus', 144, -1, 144, -1, 2.9073653422528878e-06), (987515173, 1982, 'autre_refus', 176, -1, 144, -1, 1.0326749361411203e-05), (987515173, 1982, 'autre_refus', 208, -1, 144, -1, 0.00013497367035597563), (987515173, 1982, 'autre_refus', 240, -1, 144, -1, 0.000346851913491264), (987515173, 1982, 'autre_refus', 272, -1, 144, -1, 0.004945500288158655), (987515173, 1982, 'autre_refus', 304, -1, 144, -1, 0.0435323528945446), (987515173, 1982, 'autre_refus', 336, -1, 144, -1, 0.09579598158597946), (987515173, 1982, 'autre_refus', 112, -1, 176, -1, 1.5099652046046685e-05), (987515173, 1982, 'autre_refus', 144, -1, 176, -1, 0.00012873567175120115), (987515173, 1982, 'autre_refus', 176, -1, 176, -1, 0.00023613371013198048), (987515173, 1982, 'autre_refus', 208, -1, 176, -1, 0.0008116969838738441), (987515173, 1982, 'autre_refus', 240, -1, 176, -1, 0.0006528055528178811), (987515173, 1982, 'autre_refus', 272, -1, 176, -1, 0.0042976150289177895), (987515173, 1982, 'autre_refus', 304, -1, 176, -1, 0.023302560672163963), (987515173, 1982, 'autre_refus', 336, -1, 176, -1, 0.01871517486870289), (987515173, 1982, 'autre_refus', 112, -1, 208, -1, 8.849620644468814e-05), (987515173, 1982, 'autre_refus', 144, -1, 208, -1, 0.00018635093874763697), (987515173, 1982, 'autre_refus', 176, -1, 208, -1, 0.0003194685559719801), (987515173, 1982, 'autre_refus', 208, -1, 208, -1, 0.00035766660585068166), (987515173, 1982, 'autre_refus', 240, -1, 208, -1, 0.00019589399744290859), (987515173, 1982, 'autre_refus', 272, -1, 208, -1, 0.0002863640838768333), (987515173, 1982, 'autre_refus', 304, -1, 208, -1, 0.00020298798335716128), (987515173, 1982, 'autre_refus', 336, -1, 208, -1, 0.00024473218945786357), (987515173, 1982, 'autre_refus', 112, -1, 240, -1, 0.0002338831254746765), (987515173, 1982, 'autre_refus', 144, -1, 240, -1, 0.00010828423546627164), (987515173, 1982, 'autre_refus', 176, -1, 240, -1, 6.500016752397642e-05), (987515173, 1982, 'autre_refus', 208, -1, 240, -1, 2.5274739527958445e-05), (987515173, 1982, 'autre_refus', 240, -1, 240, -1, 7.298097625607625e-05), (987515173, 1982, 'autre_refus', 272, -1, 240, -1, 0.000140949894557707), (987515173, 1982, 'autre_refus', 304, -1, 240, -1, 8.929127216106281e-05), (987515173, 1982, 'autre_refus', 336, -1, 240, -1, 8.17256368463859e-05), (987515173, 1982, 'autre_refus', 112, -1, 272, -1, 0.0002690310648176819), (987515173, 1982, 'autre_refus', 144, -1, 272, -1, 0.00011150002683280036), (987515173, 1982, 'autre_refus', 176, -1, 272, -1, 0.00012467073975130916), (987515173, 1982, 'autre_refus', 208, -1, 272, -1, 5.0943781388923526e-05), (987515173, 1982, 'autre_refus', 240, -1, 272, -1, 2.9026256015640683e-05), (987515173, 1982, 'autre_refus', 272, -1, 272, -1, 4.229433397995308e-05), (987515173, 1982, 'autre_refus', 304, -1, 272, -1, 6.855193350929767e-05), (987515173, 1982, 'autre_refus', 336, -1, 272, -1, 0.00014142620784696192), (987515173, 1982, 'autre_refus', 112, -1, 304, -1, 0.00011609971261350438), (987515173, 1982, 'autre_refus', 144, -1, 304, -1, 0.0002177054266212508), (987515173, 1982, 'autre_refus', 176, -1, 304, -1, 0.0004259516717866063), (987515173, 1982, 'autre_refus', 208, -1, 304, -1, 0.0004292438388802111), (987515173, 1982, 'autre_refus', 240, -1, 304, -1, 6.586161180166528e-05), (987515173, 1982, 'autre_refus', 272, -1, 304, -1, 3.1808140192879364e-05), (987515173, 1982, 'autre_refus', 304, -1, 304, -1, 1.209946276503615e-05), (987515173, 1982, 'autre_refus', 336, -1, 304, -1, 1.880360650829971e-05), (987515173, 1982, 'autre_refus', 112, -1, 336, -1, 0.0002473370695952326), (987515173, 1982, 'autre_refus', 144, -1, 336, -1, 0.00047080242075026035), (987515173, 1982, 'autre_refus', 176, -1, 336, -1, 0.0003341491101309657), (987515173, 1982, 'autre_refus', 208, -1, 336, -1, 0.0002366387634538114), (987515173, 1982, 'autre_refus', 240, -1, 336, -1, 0.00010615005157887936), (987515173, 1982, 'autre_refus', 272, -1, 336, -1, 9.554660209687427e-05), (987515173, 1982, 'autre_refus', 304, -1, 336, -1, 0.00013166829012334347), (987515173, 1982, 'autre_refus', 336, -1, 336, -1, 0.0007315984694287181)]}

result thcl :
{'987515187': [('987515187', 'Carton', 0.98072356, 1927, '1528'), 'temp/1738464068_2241491_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg'], '987515209': [('987515209', 'Carton', 0.96737546, 1927, '1528'), 'temp/1738464068_2241491_987515209_02dfe1ae39f51994652f4a8538844aea.jpg'], '987515211': [('987515211', 'Carton', 0.9734625, 1927, '1528'), 'temp/1738464068_2241491_987515211_72cc7664d45bd40477351b9b764f1500.jpg'], '987515212': [('987515212', 'Carton', 0.98693997, 1927, '1528'), 'temp/1738464068_2241491_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515213': [('987515213', 'Carton', 0.98690784, 1927, '1528'), 'temp/1738464068_2241491_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515215': [('987515215', 'Papier_Magazine', 0.9939137, 1927, '1528'), 'temp/1738464068_2241491_987515215_902ef348a7eebb9a8b87f42927347936.jpg'], '987515216': [('987515216', 'Papier_Magazine', 0.97747517, 1927, '1528'), 'temp/1738464068_2241491_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg'], '987515217': [('987515217', 'Carton', 0.52924216, 1927, '1528'), 'temp/1738464068_2241491_987515217_78877bb2c5760be28518d17f77d1c609.jpg'], '987515198': [('987515198', 'Carton', 0.9661966, 1927, '1528'), 'temp/1738464068_2241491_987515198_599e80f444c876f407e94b533c89360b.jpg'], '987515200': [('987515200', 'Carton', 0.9859287, 1927, '1528'), 'temp/1738464068_2241491_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg'], '987515201': [('987515201', 'Carton', 0.99544686, 1927, '1528'), 'temp/1738464068_2241491_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg'], '987515202': [('987515202', 'Carton', 0.9911028, 1927, '1528'), 'temp/1738464068_2241491_987515202_3314bd90d1404f31b827d8925abf2d62.jpg'], '987515204': [('987515204', 'Papier_Magazine', 0.9950677, 1927, '1528'), 'temp/1738464068_2241491_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg'], '987515205': [('987515205', 'Papier_Magazine', 0.99085265, 1927, '1528'), 'temp/1738464068_2241491_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg'], '987515224': [('987515224', 'Carton', 0.90872955, 1927, '1528'), 'temp/1738464068_2241491_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg'], '987515188': [('987515188', 'Carton', 0.99567103, 1927, '1528'), 'temp/1738464068_2241491_987515188_4116f9906657a69bb76c2fda982037b9.jpg'], '987515189': [('987515189', 'Carton', 0.9977907, 1927, '1528'), 'temp/1738464068_2241491_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg'], '987515190': [('987515190', 'Carton', 0.9763752, 1927, '1528'), 'temp/1738464068_2241491_987515190_d56932bfc6ba2a8c974c691108755017.jpg'], '987515192': [('987515192', 'Papier_Magazine', 0.9999113, 1927, '1528'), 'temp/1738464068_2241491_987515192_b661073b218f5f056833d6af1c617153.jpg'], '987515193': [('987515193', 'Papier_Magazine', 0.99939585, 1927, '1528'), 'temp/1738464068_2241491_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg'], '987515195': [('987515195', 'Carton', 0.9846549, 1927, '1528'), 'temp/1738464068_2241491_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515196': [('987515196', 'Carton', 0.9845883, 1927, '1528'), 'temp/1738464068_2241491_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515219': [('987515219', 'Carton', 0.99936813, 1927, '1528'), 'temp/1738464068_2241491_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg'], '987515220': [('987515220', 'Carton', 0.99637717, 1927, '1528'), 'temp/1738464068_2241491_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg'], '987515222': [('987515222', 'Carton', 0.9974687, 1927, '1528'), 'temp/1738464068_2241491_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg'], '987515223': [('987515223', 'Carton', 0.9920685, 1927, '1528'), 'temp/1738464068_2241491_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg'], '987515239': [('987515239', 'Carton', 0.999783, 1927, '1528'), 'temp/1738464068_2241491_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg'], '987515240': [('987515240', 'Carton', 0.99952185, 1927, '1528'), 'temp/1738464068_2241491_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg'], '987515241': [('987515241', 'Carton', 0.982104, 1927, '1528'), 'temp/1738464068_2241491_987515241_073420d938f5f010ffd5b4353c064e09.jpg'], '987515242': [('987515242', 'Carton', 0.93588746, 1927, '1528'), 'temp/1738464068_2241491_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg'], '987515243': [('987515243', 'Papier_Magazine', 0.8742767, 1927, '1528'), 'temp/1738464068_2241491_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg'], '987515244': [('987515244', 'Papier_Magazine', 0.81755716, 1927, '1528'), 'temp/1738464068_2241491_987515244_419530eaef5ef868f75c758b94eea4b4.jpg'], '987515245': [('987515245', 'Carton', 0.86612564, 1927, '1528'), 'temp/1738464068_2241491_987515245_757d9d208d5bd4375c5f21f68b699148.jpg'], '987515246': [('987515246', 'Carton', 0.99923193, 1927, '1528'), 'temp/1738464068_2241491_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg'], '987515247': [('987515247', 'Carton', 0.9996692, 1927, '1528'), 'temp/1738464068_2241491_987515247_e47b65403df916ba909bc9c439b0af73.jpg'], '987515248': [('987515248', 'Carton', 0.9813098, 1927, '1528'), 'temp/1738464068_2241491_987515248_a70ad88462a22fb62a120721a42b2d42.jpg'], '987515249': [('987515249', 'Carton', 0.9813207, 1927, '1528'), 'temp/1738464068_2241491_987515249_a70ad88462a22fb62a120721a42b2d42.jpg'], '987515250': [('987515250', 'Carton', 0.9808096, 1927, '1528'), 'temp/1738464068_2241491_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg'], '987515175': [('987515175', 'Papier_Magazine', 0.99981374, 1927, '1528'), 'temp/1738464068_2241491_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515176': [('987515176', 'Papier_Magazine', 0.99981266, 1927, '1528'), 'temp/1738464068_2241491_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515177': [('987515177', 'Papier_Magazine', 0.97718644, 1927, '1528'), 'temp/1738464068_2241491_987515177_4a54e9967227806219ddf45d256539d8.jpg'], '987515178': [('987515178', 'Carton', 0.8575826, 1927, '1528'), 'temp/1738464068_2241491_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg'], '987515179': [('987515179', 'Carton', 0.9269353, 1927, '1528'), 'temp/1738464068_2241491_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg'], '987515226': [('987515226', 'Papier_Magazine', 0.98700964, 1927, '1528'), 'temp/1738464068_2241491_987515226_a18048dca1a77ae086b62cf07759f704.jpg'], '987515227': [('987515227', 'Papier_Magazine', 0.9000123, 1927, '1528'), 'temp/1738464068_2241491_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg'], '987515228': [('987515228', 'Papier_Magazine', 0.52216494, 1927, '1528'), 'temp/1738464068_2241491_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg'], '987515230': [('987515230', 'Carton', 0.99940395, 1927, '1528'), 'temp/1738464068_2241491_987515230_846ad925884264181565c81d152a2e94.jpg'], '987515231': [('987515231', 'Carton', 0.9994209, 1927, '1528'), 'temp/1738464068_2241491_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg'], '987515232': [('987515232', 'Carton', 0.9992449, 1927, '1528'), 'temp/1738464068_2241491_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg'], '987515233': [('987515233', 'Carton', 0.98342335, 1927, '1528'), 'temp/1738464068_2241491_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg'], '987515234': [('987515234', 'Carton', 0.9449514, 1927, '1528'), 'temp/1738464068_2241491_987515234_2eca3480aed0f8b876242675ad99b666.jpg'], '987515235': [('987515235', 'Papier_Magazine', 0.8918651, 1927, '1528'), 'temp/1738464068_2241491_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg'], '987515236': [('987515236', 'Papier_Magazine', 0.5367964, 1927, '1528'), 'temp/1738464068_2241491_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg'], '987515237': [('987515237', 'Carton', 0.7694283, 1927, '1528'), 'temp/1738464068_2241491_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg'], '987515238': [('987515238', 'Carton', 0.9995741, 1927, '1528'), 'temp/1738464068_2241491_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg'], '987515207': [('987515207', 'Papier_Magazine', 0.8740548, 1927, '1528'), 'temp/1738464068_2241491_987515207_de216ddb041e249524b0fb2b949064a5.jpg'], '987515208': [('987515208', 'Carton', 0.99171877, 1927, '1528'), 'temp/1738464068_2241491_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg'], '987515180': [('987515180', 'Carton', 0.9899678, 1927, '1528'), 'temp/1738464068_2241491_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg'], '987515181': [('987515181', 'Carton', 0.99778074, 1927, '1528'), 'temp/1738464068_2241491_987515181_1738c2798fb31152809ecb443ac286d6.jpg'], '987515182': [('987515182', 'Carton', 0.9924299, 1927, '1528'), 'temp/1738464068_2241491_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg'], '987515183': [('987515183', 'Papier_Magazine', 0.99999213, 1927, '1528'), 'temp/1738464068_2241491_987515183_6aab9ca0421398b4899892c10c2594c6.jpg'], '987515184': [('987515184', 'Papier_Magazine', 0.9997316, 1927, '1528'), 'temp/1738464068_2241491_987515184_19c8c2177209a285df6014d95fe53f2c.jpg'], '987515185': [('987515185', 'Papier_Magazine', 0.7977545, 1927, '1528'), 'temp/1738464068_2241491_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg'], '987515186': [('987515186', 'Carton', 0.98472416, 1927, '1528'), 'temp/1738464068_2241491_987515186_797def426440b544aa80dbd63a19234a.jpg']}

result detect_point :
{987515173: [(987515173, 1982, 'Autre_Environement', 112, -1, 112, -1, 6.222378948900209e-12), (987515173, 1982, 'Autre_Environement', 144, -1, 112, -1, 2.4400618678366293e-11), (987515173, 1982, 'Autre_Environement', 176, -1, 112, -1, 1.0569843666985435e-08), (987515173, 1982, 'Autre_Environement', 208, -1, 112, -1, 4.454568909295631e-07), (987515173, 1982, 'Autre_Environement', 240, -1, 112, -1, 1.9252331640018383e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 112, -1, 3.7852179957553744e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 112, -1, 0.00012237828923389316), (987515173, 1982, 'Autre_Environement', 336, -1, 112, -1, 2.9409917260636576e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 144, -1, 2.3511837810019642e-08), (987515173, 1982, 'Autre_Environement', 144, -1, 144, -1, 2.1995582244471734e-08), (987515173, 1982, 'Autre_Environement', 176, -1, 144, -1, 1.3774744900274527e-07), (987515173, 1982, 'Autre_Environement', 208, -1, 144, -1, 1.4738589015905745e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 144, -1, 1.1274090866209008e-05), (987515173, 1982, 'Autre_Environement', 272, -1, 144, -1, 0.00015838690160308033), (987515173, 1982, 'Autre_Environement', 304, -1, 144, -1, 0.00044420771882869303), (987515173, 1982, 'Autre_Environement', 336, -1, 144, -1, 6.547530210809782e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 176, -1, 1.3242247405287344e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 176, -1, 1.6362791939172894e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 176, -1, 2.5189501684508286e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 176, -1, 1.616267809367855e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 176, -1, 6.25675102128298e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 176, -1, 8.60033615026623e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 176, -1, 0.00032644817838445306), (987515173, 1982, 'Autre_Environement', 336, -1, 176, -1, 0.00030548335053026676), (987515173, 1982, 'Autre_Environement', 112, -1, 208, -1, 1.8565793652669527e-05), (987515173, 1982, 'Autre_Environement', 144, -1, 208, -1, 7.976936103659682e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 208, -1, 2.7082722226623446e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 208, -1, 1.798494122340344e-05), (987515173, 1982, 'Autre_Environement', 240, -1, 208, -1, 2.295560625498183e-05), (987515173, 1982, 'Autre_Environement', 272, -1, 208, -1, 1.690822136879433e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 208, -1, 4.545225692709209e-06), (987515173, 1982, 'Autre_Environement', 336, -1, 208, -1, 8.779864401731174e-06), (987515173, 1982, 'Autre_Environement', 112, -1, 240, -1, 6.101062353991438e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 240, -1, 1.6424603472842136e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 240, -1, 1.9696340132213663e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 240, -1, 1.4329291389003629e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 240, -1, 7.893211659393273e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 240, -1, 1.28955462059821e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 240, -1, 9.292897630075458e-06), (987515173, 1982, 'Autre_Environement', 336, -1, 240, -1, 2.1675306925317273e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 272, -1, 3.830314653896494e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 272, -1, 2.547564918131684e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 272, -1, 2.963849738080171e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 272, -1, 2.7416569992055884e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 272, -1, 4.29515876021469e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 272, -1, 8.114799129543826e-06), (987515173, 1982, 'Autre_Environement', 304, -1, 272, -1, 1.1509880096127745e-05), (987515173, 1982, 'Autre_Environement', 336, -1, 272, -1, 3.964707502746023e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 304, -1, 1.209866240969859e-05), (987515173, 1982, 'Autre_Environement', 144, -1, 304, -1, 1.5708925275248475e-05), (987515173, 1982, 'Autre_Environement', 176, -1, 304, -1, 3.324952922412194e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 304, -1, 0.00015512290701735765), (987515173, 1982, 'Autre_Environement', 240, -1, 304, -1, 0.0002593722310848534), (987515173, 1982, 'Autre_Environement', 272, -1, 304, -1, 0.00018789178284350783), (987515173, 1982, 'Autre_Environement', 304, -1, 304, -1, 0.00021936152188573033), (987515173, 1982, 'Autre_Environement', 336, -1, 304, -1, 0.0001639817637624219), (987515173, 1982, 'Autre_Environement', 112, -1, 336, -1, 4.5442202463163994e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 336, -1, 1.731591510178987e-05), (987515173, 1982, 'Autre_Environement', 176, -1, 336, -1, 4.9303613195661455e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 336, -1, 0.00012120341853005812), (987515173, 1982, 'Autre_Environement', 240, -1, 336, -1, 0.0001962969108717516), (987515173, 1982, 'Autre_Environement', 272, -1, 336, -1, 0.00018778724188450724), (987515173, 1982, 'Autre_Environement', 304, -1, 336, -1, 0.00012367557792458683), (987515173, 1982, 'Autre_Environement', 336, -1, 336, -1, 0.00027195739676244557), (987515173, 1982, 'Carton', 112, -1, 112, -1, 1.5696636523898633e-07), (987515173, 1982, 'Carton', 144, -1, 112, -1, 4.045950845465995e-06), (987515173, 1982, 'Carton', 176, -1, 112, -1, 6.986057087488007e-06), (987515173, 1982, 'Carton', 208, -1, 112, -1, 0.0008751259301789105), (987515173, 1982, 'Carton', 240, -1, 112, -1, 0.002644830383360386), (987515173, 1982, 'Carton', 272, -1, 112, -1, 0.0034034682903438807), (987515173, 1982, 'Carton', 304, -1, 112, -1, 0.031245341524481773), (987515173, 1982, 'Carton', 336, -1, 112, -1, 0.055926743894815445), (987515173, 1982, 'Carton', 112, -1, 144, -1, 0.00012226177204865962), (987515173, 1982, 'Carton', 144, -1, 144, -1, 0.00020806123211514205), (987515173, 1982, 'Carton', 176, -1, 144, -1, 0.0003684701514430344), (987515173, 1982, 'Carton', 208, -1, 144, -1, 0.006841516587883234), (987515173, 1982, 'Carton', 240, -1, 144, -1, 0.01588386297225952), (987515173, 1982, 'Carton', 272, -1, 144, -1, 0.009412247687578201), (987515173, 1982, 'Carton', 304, -1, 144, -1, 0.009775240905582905), (987515173, 1982, 'Carton', 336, -1, 144, -1, 0.02216983027756214), (987515173, 1982, 'Carton', 112, -1, 176, -1, 0.021816272288560867), (987515173, 1982, 'Carton', 144, -1, 176, -1, 0.19447213411331177), (987515173, 1982, 'Carton', 176, -1, 176, -1, 0.09634599834680557), (987515173, 1982, 'Carton', 208, -1, 176, -1, 0.12365923076868057), (987515173, 1982, 'Carton', 240, -1, 176, -1, 0.5324288010597229), (987515173, 1982, 'Carton', 272, -1, 176, -1, 0.4600445032119751), (987515173, 1982, 'Carton', 304, -1, 176, -1, 0.771091878414154), (987515173, 1982, 'Carton', 336, -1, 176, -1, 0.866152286529541), (987515173, 1982, 'Carton', 112, -1, 208, -1, 0.8502137064933777), (987515173, 1982, 'Carton', 144, -1, 208, -1, 0.9843090176582336), (987515173, 1982, 'Carton', 176, -1, 208, -1, 0.9847174286842346), (987515173, 1982, 'Carton', 208, -1, 208, -1, 0.9919729232788086), (987515173, 1982, 'Carton', 240, -1, 208, -1, 0.9993901252746582), (987515173, 1982, 'Carton', 272, -1, 208, -1, 0.9994150400161743), (987515173, 1982, 'Carton', 304, -1, 208, -1, 0.9995866417884827), (987515173, 1982, 'Carton', 336, -1, 208, -1, 0.9992256164550781), (987515173, 1982, 'Carton', 112, -1, 240, -1, 0.9275773763656616), (987515173, 1982, 'Carton', 144, -1, 240, -1, 0.9809797406196594), (987515173, 1982, 'Carton', 176, -1, 240, -1, 0.965957522392273), (987515173, 1982, 'Carton', 208, -1, 240, -1, 0.9678189158439636), (987515173, 1982, 'Carton', 240, -1, 240, -1, 0.9964002370834351), (987515173, 1982, 'Carton', 272, -1, 240, -1, 0.9994196891784668), (987515173, 1982, 'Carton', 304, -1, 240, -1, 0.9997860789299011), (987515173, 1982, 'Carton', 336, -1, 240, -1, 0.9996691942214966), (987515173, 1982, 'Carton', 112, -1, 272, -1, 0.9895203113555908), (987515173, 1982, 'Carton', 144, -1, 272, -1, 0.9954627156257629), (987515173, 1982, 'Carton', 176, -1, 272, -1, 0.9854597449302673), (987515173, 1982, 'Carton', 208, -1, 272, -1, 0.9732974171638489), (987515173, 1982, 'Carton', 240, -1, 272, -1, 0.9974804520606995), (987515173, 1982, 'Carton', 272, -1, 272, -1, 0.9992056488990784), (987515173, 1982, 'Carton', 304, -1, 272, -1, 0.9995158910751343), (987515173, 1982, 'Carton', 336, -1, 272, -1, 0.9991229176521301), (987515173, 1982, 'Carton', 112, -1, 304, -1, 0.9977753758430481), (987515173, 1982, 'Carton', 144, -1, 304, -1, 0.9977591037750244), (987515173, 1982, 'Carton', 176, -1, 304, -1, 0.9955534338951111), (987515173, 1982, 'Carton', 208, -1, 304, -1, 0.992760181427002), (987515173, 1982, 'Carton', 240, -1, 304, -1, 0.9920018911361694), (987515173, 1982, 'Carton', 272, -1, 304, -1, 0.9835156798362732), (987515173, 1982, 'Carton', 304, -1, 304, -1, 0.9823300242424011), (987515173, 1982, 'Carton', 336, -1, 304, -1, 0.9808361530303955), (987515173, 1982, 'Carton', 112, -1, 336, -1, 0.992455005645752), (987515173, 1982, 'Carton', 144, -1, 336, -1, 0.9762545824050903), (987515173, 1982, 'Carton', 176, -1, 336, -1, 0.9911612272262573), (987515173, 1982, 'Carton', 208, -1, 336, -1, 0.9870002865791321), (987515173, 1982, 'Carton', 240, -1, 336, -1, 0.9085386395454407), (987515173, 1982, 'Carton', 272, -1, 336, -1, 0.9453691244125366), (987515173, 1982, 'Carton', 304, -1, 336, -1, 0.9366360306739807), (987515173, 1982, 'Carton', 336, -1, 336, -1, 0.9808467030525208), (987515173, 1982, 'Kraft', 112, -1, 112, -1, 1.936590665607696e-09), (987515173, 1982, 'Kraft', 144, -1, 112, -1, 1.7048282785481206e-08), (987515173, 1982, 'Kraft', 176, -1, 112, -1, 9.57887550612213e-07), (987515173, 1982, 'Kraft', 208, -1, 112, -1, 3.1530500564258546e-05), (987515173, 1982, 'Kraft', 240, -1, 112, -1, 4.446037200978026e-05), (987515173, 1982, 'Kraft', 272, -1, 112, -1, 0.00020668294746428728), (987515173, 1982, 'Kraft', 304, -1, 112, -1, 0.001076195389032364), (987515173, 1982, 'Kraft', 336, -1, 112, -1, 0.0008284119539894164), (987515173, 1982, 'Kraft', 112, -1, 144, -1, 2.5728815671755e-05), (987515173, 1982, 'Kraft', 144, -1, 144, -1, 6.936485533515224e-06), (987515173, 1982, 'Kraft', 176, -1, 144, -1, 3.6160424770059763e-06), (987515173, 1982, 'Kraft', 208, -1, 144, -1, 3.557050877134316e-05), (987515173, 1982, 'Kraft', 240, -1, 144, -1, 6.705895066261292e-05), (987515173, 1982, 'Kraft', 272, -1, 144, -1, 8.699785394128412e-05), (987515173, 1982, 'Kraft', 304, -1, 144, -1, 0.00012209864507894963), (987515173, 1982, 'Kraft', 336, -1, 144, -1, 0.00011282486957497895), (987515173, 1982, 'Kraft', 112, -1, 176, -1, 0.0004977646749466658), (987515173, 1982, 'Kraft', 144, -1, 176, -1, 0.0001248752378160134), (987515173, 1982, 'Kraft', 176, -1, 176, -1, 9.042356396093965e-05), (987515173, 1982, 'Kraft', 208, -1, 176, -1, 5.199982842896134e-05), (987515173, 1982, 'Kraft', 240, -1, 176, -1, 0.00011539208935573697), (987515173, 1982, 'Kraft', 272, -1, 176, -1, 0.0004349051450844854), (987515173, 1982, 'Kraft', 304, -1, 176, -1, 0.0009203096269629896), (987515173, 1982, 'Kraft', 336, -1, 176, -1, 0.0014276982983574271), (987515173, 1982, 'Kraft', 112, -1, 208, -1, 6.884569302201271e-05), (987515173, 1982, 'Kraft', 144, -1, 208, -1, 1.8521743186283857e-05), (987515173, 1982, 'Kraft', 176, -1, 208, -1, 2.5951105271815322e-05), (987515173, 1982, 'Kraft', 208, -1, 208, -1, 3.5487224522512406e-05), (987515173, 1982, 'Kraft', 240, -1, 208, -1, 3.661829396151006e-05), (987515173, 1982, 'Kraft', 272, -1, 208, -1, 8.672391413711011e-05), (987515173, 1982, 'Kraft', 304, -1, 208, -1, 0.0001241185236722231), (987515173, 1982, 'Kraft', 336, -1, 208, -1, 0.00039203447522595525), (987515173, 1982, 'Kraft', 112, -1, 240, -1, 0.00030757312197238207), (987515173, 1982, 'Kraft', 144, -1, 240, -1, 4.162563709542155e-05), (987515173, 1982, 'Kraft', 176, -1, 240, -1, 1.2285712728044018e-05), (987515173, 1982, 'Kraft', 208, -1, 240, -1, 7.340162937907735e-06), (987515173, 1982, 'Kraft', 240, -1, 240, -1, 2.2958962290431373e-05), (987515173, 1982, 'Kraft', 272, -1, 240, -1, 5.884098936803639e-05), (987515173, 1982, 'Kraft', 304, -1, 240, -1, 6.564608338521793e-05), (987515173, 1982, 'Kraft', 336, -1, 240, -1, 0.00018672412261366844), (987515173, 1982, 'Kraft', 112, -1, 272, -1, 0.001462324638850987), (987515173, 1982, 'Kraft', 144, -1, 272, -1, 0.0006886203773319721), (987515173, 1982, 'Kraft', 176, -1, 272, -1, 0.0002738926268648356), (987515173, 1982, 'Kraft', 208, -1, 272, -1, 4.335801713750698e-05), (987515173, 1982, 'Kraft', 240, -1, 272, -1, 3.306355938548222e-05), (987515173, 1982, 'Kraft', 272, -1, 272, -1, 8.247153164120391e-05), (987515173, 1982, 'Kraft', 304, -1, 272, -1, 0.00011202717723790556), (987515173, 1982, 'Kraft', 336, -1, 272, -1, 0.00042627245420590043), (987515173, 1982, 'Kraft', 112, -1, 304, -1, 0.0009944415651261806), (987515173, 1982, 'Kraft', 144, -1, 304, -1, 0.0009031129302456975), (987515173, 1982, 'Kraft', 176, -1, 304, -1, 0.0006185384700074792), (987515173, 1982, 'Kraft', 208, -1, 304, -1, 0.0010866448283195496), (987515173, 1982, 'Kraft', 240, -1, 304, -1, 0.0017949918983504176), (987515173, 1982, 'Kraft', 272, -1, 304, -1, 0.004679689649492502), (987515173, 1982, 'Kraft', 304, -1, 304, -1, 0.004766771104186773), (987515173, 1982, 'Kraft', 336, -1, 304, -1, 0.012517757713794708), (987515173, 1982, 'Kraft', 112, -1, 336, -1, 0.0021742042154073715), (987515173, 1982, 'Kraft', 144, -1, 336, -1, 0.005719625391066074), (987515173, 1982, 'Kraft', 176, -1, 336, -1, 0.0008295357692986727), (987515173, 1982, 'Kraft', 208, -1, 336, -1, 0.0012545229401439428), (987515173, 1982, 'Kraft', 240, -1, 336, -1, 0.0077680074609816074), (987515173, 1982, 'Kraft', 272, -1, 336, -1, 0.012521011754870415), (987515173, 1982, 'Kraft', 304, -1, 336, -1, 0.01798698678612709), (987515173, 1982, 'Kraft', 336, -1, 336, -1, 0.007759268395602703), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 112, -1, 1.4806207648820902e-10), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 112, -1, 8.234470882939604e-09), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 112, -1, 5.482763185682415e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 112, -1, 5.508535650733393e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 112, -1, 8.248408448707778e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 112, -1, 3.550532346707769e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 112, -1, 8.127713954309002e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 112, -1, 4.2088729969691485e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 144, -1, 3.597788236220367e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 144, -1, 1.3015941249250318e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 144, -1, 2.467917056492297e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 144, -1, 3.4537247302068863e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 144, -1, 5.706400770577602e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 144, -1, 2.0637764464481734e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 144, -1, 3.9005470171105117e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 144, -1, 1.3682393728231546e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 176, -1, 3.88867505307644e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 176, -1, 2.5720198664203053e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 176, -1, 1.1996902685496025e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 176, -1, 7.82096049078973e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 176, -1, 6.357771326293005e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 176, -1, 2.634951306390576e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 176, -1, 3.919541632058099e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 176, -1, 1.848306601459626e-05), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 208, -1, 1.7982222288992489e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 208, -1, 5.720953595300671e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 208, -1, 2.201583811256569e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 208, -1, 1.7309949953414616e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 208, -1, 3.936294774575799e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 208, -1, 2.0223949093178817e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 208, -1, 9.891140706486112e-08), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 208, -1, 8.65279332629143e-08), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 240, -1, 1.821531782297825e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 240, -1, 6.326804395939689e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 240, -1, 7.875941037127632e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 240, -1, 6.388069664353679e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 240, -1, 7.712848173468956e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 240, -1, 5.211704774410464e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 240, -1, 1.773307189978368e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 240, -1, 1.4428692907131335e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 272, -1, 4.186073567780113e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 272, -1, 3.16953588708202e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 272, -1, 5.094299240226974e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 272, -1, 7.32465537112148e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 272, -1, 3.995310464688373e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 272, -1, 3.204259826361522e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 272, -1, 2.102787135527251e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 272, -1, 3.5085184890704113e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 304, -1, 3.2967616903079033e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 304, -1, 3.2564054208705784e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 304, -1, 8.370416253455915e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 304, -1, 3.3047340366465505e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 304, -1, 4.420505320013035e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 304, -1, 5.041463737143204e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 304, -1, 8.233877451857552e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 304, -1, 5.569461791310459e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 112, -1, 336, -1, 4.183675912372564e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 144, -1, 336, -1, 8.220713425544091e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 176, -1, 336, -1, 7.147587552935875e-07), (987515173, 1982, 'Lointain_Papier_Magazine', 208, -1, 336, -1, 1.9424091988184955e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 240, -1, 336, -1, 3.906492565874942e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 272, -1, 336, -1, 2.4553341972932685e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 304, -1, 336, -1, 3.441954959271243e-06), (987515173, 1982, 'Lointain_Papier_Magazine', 336, -1, 336, -1, 4.843793249165174e-06), (987515173, 1982, 'Metal', 112, -1, 112, -1, 7.32924207436092e-11), (987515173, 1982, 'Metal', 144, -1, 112, -1, 1.9217345492705817e-09), (987515173, 1982, 'Metal', 176, -1, 112, -1, 7.267021260304318e-07), (987515173, 1982, 'Metal', 208, -1, 112, -1, 9.478276297159027e-06), (987515173, 1982, 'Metal', 240, -1, 112, -1, 2.6579256882541813e-05), (987515173, 1982, 'Metal', 272, -1, 112, -1, 0.00016944864182733), (987515173, 1982, 'Metal', 304, -1, 112, -1, 0.0007528787828050554), (987515173, 1982, 'Metal', 336, -1, 112, -1, 0.0003029380168300122), (987515173, 1982, 'Metal', 112, -1, 144, -1, 5.271110126159329e-07), (987515173, 1982, 'Metal', 144, -1, 144, -1, 4.344271928857779e-07), (987515173, 1982, 'Metal', 176, -1, 144, -1, 3.1881318136584014e-06), (987515173, 1982, 'Metal', 208, -1, 144, -1, 9.604024853615556e-06), (987515173, 1982, 'Metal', 240, -1, 144, -1, 1.655070809647441e-05), (987515173, 1982, 'Metal', 272, -1, 144, -1, 7.673536310903728e-05), (987515173, 1982, 'Metal', 304, -1, 144, -1, 0.00013125095574650913), (987515173, 1982, 'Metal', 336, -1, 144, -1, 4.669315239880234e-05), (987515173, 1982, 'Metal', 112, -1, 176, -1, 5.87900558457477e-06), (987515173, 1982, 'Metal', 144, -1, 176, -1, 4.056393208884401e-06), (987515173, 1982, 'Metal', 176, -1, 176, -1, 1.0126596862392034e-05), (987515173, 1982, 'Metal', 208, -1, 176, -1, 4.166455710219452e-06), (987515173, 1982, 'Metal', 240, -1, 176, -1, 6.650832347077085e-06), (987515173, 1982, 'Metal', 272, -1, 176, -1, 5.435520870378241e-05), (987515173, 1982, 'Metal', 304, -1, 176, -1, 0.0001289572101086378), (987515173, 1982, 'Metal', 336, -1, 176, -1, 6.565333023900166e-05), (987515173, 1982, 'Metal', 112, -1, 208, -1, 8.126015927700792e-06), (987515173, 1982, 'Metal', 144, -1, 208, -1, 2.2723645543010207e-06), (987515173, 1982, 'Metal', 176, -1, 208, -1, 6.663829481112771e-06), (987515173, 1982, 'Metal', 208, -1, 208, -1, 4.595815880747978e-06), (987515173, 1982, 'Metal', 240, -1, 208, -1, 1.6866306395968422e-06), (987515173, 1982, 'Metal', 272, -1, 208, -1, 1.364268769066257e-06), (987515173, 1982, 'Metal', 304, -1, 208, -1, 5.801350653200643e-07), (987515173, 1982, 'Metal', 336, -1, 208, -1, 8.318131676787743e-07), (987515173, 1982, 'Metal', 112, -1, 240, -1, 2.9267157515278086e-06), (987515173, 1982, 'Metal', 144, -1, 240, -1, 7.385209528365522e-07), (987515173, 1982, 'Metal', 176, -1, 240, -1, 6.104144745222584e-07), (987515173, 1982, 'Metal', 208, -1, 240, -1, 6.227190283425443e-07), (987515173, 1982, 'Metal', 240, -1, 240, -1, 1.1987788184342207e-06), (987515173, 1982, 'Metal', 272, -1, 240, -1, 7.014862148935208e-07), (987515173, 1982, 'Metal', 304, -1, 240, -1, 3.1475292416871525e-07), (987515173, 1982, 'Metal', 336, -1, 240, -1, 4.1145409568343894e-07), (987515173, 1982, 'Metal', 112, -1, 272, -1, 2.6229213290207554e-06), (987515173, 1982, 'Metal', 144, -1, 272, -1, 8.044873425205878e-07), (987515173, 1982, 'Metal', 176, -1, 272, -1, 8.225950978157925e-07), (987515173, 1982, 'Metal', 208, -1, 272, -1, 3.997936346422648e-07), (987515173, 1982, 'Metal', 240, -1, 272, -1, 2.7225155463384e-07), (987515173, 1982, 'Metal', 272, -1, 272, -1, 3.286352523446112e-07), (987515173, 1982, 'Metal', 304, -1, 272, -1, 3.440711395796825e-07), (987515173, 1982, 'Metal', 336, -1, 272, -1, 1.4808595096837962e-06), (987515173, 1982, 'Metal', 112, -1, 304, -1, 2.3174511625256855e-06), (987515173, 1982, 'Metal', 144, -1, 304, -1, 1.9540796074579703e-06), (987515173, 1982, 'Metal', 176, -1, 304, -1, 4.524245014181361e-06), (987515173, 1982, 'Metal', 208, -1, 304, -1, 1.3382348697632551e-05), (987515173, 1982, 'Metal', 240, -1, 304, -1, 5.661866453010589e-06), (987515173, 1982, 'Metal', 272, -1, 304, -1, 5.697193955711555e-06), (987515173, 1982, 'Metal', 304, -1, 304, -1, 6.4806754380697384e-06), (987515173, 1982, 'Metal', 336, -1, 304, -1, 7.370033017650712e-06), (987515173, 1982, 'Metal', 112, -1, 336, -1, 7.1261642915487755e-06), (987515173, 1982, 'Metal', 144, -1, 336, -1, 3.309826206532307e-05), (987515173, 1982, 'Metal', 176, -1, 336, -1, 4.008921314380132e-05), (987515173, 1982, 'Metal', 208, -1, 336, -1, 7.569274748675525e-05), (987515173, 1982, 'Metal', 240, -1, 336, -1, 0.00012090665404684842), (987515173, 1982, 'Metal', 272, -1, 336, -1, 3.710941018653102e-05), (987515173, 1982, 'Metal', 304, -1, 336, -1, 2.913463868026156e-05), (987515173, 1982, 'Metal', 336, -1, 336, -1, 2.807571399898734e-05), (987515173, 1982, 'Papier_Magazine', 112, -1, 112, -1, 0.9999953508377075), (987515173, 1982, 'Papier_Magazine', 144, -1, 112, -1, 0.9999926090240479), (987515173, 1982, 'Papier_Magazine', 176, -1, 112, -1, 0.9999086856842041), (987515173, 1982, 'Papier_Magazine', 208, -1, 112, -1, 0.9949536919593811), (987515173, 1982, 'Papier_Magazine', 240, -1, 112, -1, 0.9937614798545837), (987515173, 1982, 'Papier_Magazine', 272, -1, 112, -1, 0.9866628050804138), (987515173, 1982, 'Papier_Magazine', 304, -1, 112, -1, 0.8924726843833923), (987515173, 1982, 'Papier_Magazine', 336, -1, 112, -1, 0.8721462488174438), (987515173, 1982, 'Papier_Magazine', 112, -1, 144, -1, 0.9998167157173157), (987515173, 1982, 'Papier_Magazine', 144, -1, 144, -1, 0.999743640422821), (987515173, 1982, 'Papier_Magazine', 176, -1, 144, -1, 0.9994127750396729), (987515173, 1982, 'Papier_Magazine', 208, -1, 144, -1, 0.9911919236183167), (987515173, 1982, 'Papier_Magazine', 240, -1, 144, -1, 0.9781374931335449), (987515173, 1982, 'Papier_Magazine', 272, -1, 144, -1, 0.8998574614524841), (987515173, 1982, 'Papier_Magazine', 304, -1, 144, -1, 0.5356934666633606), (987515173, 1982, 'Papier_Magazine', 336, -1, 144, -1, 0.8106384873390198), (987515173, 1982, 'Papier_Magazine', 112, -1, 176, -1, 0.9776437878608704), (987515173, 1982, 'Papier_Magazine', 144, -1, 176, -1, 0.8051626682281494), (987515173, 1982, 'Papier_Magazine', 176, -1, 176, -1, 0.9029363393783569), (987515173, 1982, 'Papier_Magazine', 208, -1, 176, -1, 0.8750483393669128), (987515173, 1982, 'Papier_Magazine', 240, -1, 176, -1, 0.46612241864204407), (987515173, 1982, 'Papier_Magazine', 272, -1, 176, -1, 0.5260506272315979), (987515173, 1982, 'Papier_Magazine', 304, -1, 176, -1, 0.16658808290958405), (987515173, 1982, 'Papier_Magazine', 336, -1, 176, -1, 0.11062293499708176), (987515173, 1982, 'Papier_Magazine', 112, -1, 208, -1, 0.14950516819953918), (987515173, 1982, 'Papier_Magazine', 144, -1, 208, -1, 0.015431544743478298), (987515173, 1982, 'Papier_Magazine', 176, -1, 208, -1, 0.014812621288001537), (987515173, 1982, 'Papier_Magazine', 208, -1, 208, -1, 0.00756653631106019), (987515173, 1982, 'Papier_Magazine', 240, -1, 208, -1, 0.0003399392298888415), (987515173, 1982, 'Papier_Magazine', 272, -1, 208, -1, 0.0001687238982412964), (987515173, 1982, 'Papier_Magazine', 304, -1, 208, -1, 5.40770088264253e-05), (987515173, 1982, 'Papier_Magazine', 336, -1, 208, -1, 6.230801227502525e-05), (987515173, 1982, 'Papier_Magazine', 112, -1, 240, -1, 0.07167891412973404), (987515173, 1982, 'Papier_Magazine', 144, -1, 240, -1, 0.018826385959982872), (987515173, 1982, 'Papier_Magazine', 176, -1, 240, -1, 0.03393654152750969), (987515173, 1982, 'Papier_Magazine', 208, -1, 240, -1, 0.03213575854897499), (987515173, 1982, 'Papier_Magazine', 240, -1, 240, -1, 0.0034828397911041975), (987515173, 1982, 'Papier_Magazine', 272, -1, 240, -1, 0.00034166633849963546), (987515173, 1982, 'Papier_Magazine', 304, -1, 240, -1, 2.9759910830762237e-05), (987515173, 1982, 'Papier_Magazine', 336, -1, 240, -1, 1.6359710571123287e-05), (987515173, 1982, 'Papier_Magazine', 112, -1, 272, -1, 0.008503889665007591), (987515173, 1982, 'Papier_Magazine', 144, -1, 272, -1, 0.003654254600405693), (987515173, 1982, 'Papier_Magazine', 176, -1, 272, -1, 0.01407999824732542), (987515173, 1982, 'Papier_Magazine', 208, -1, 272, -1, 0.02658427134156227), (987515173, 1982, 'Papier_Magazine', 240, -1, 272, -1, 0.0024445345625281334), (987515173, 1982, 'Papier_Magazine', 272, -1, 272, -1, 0.0006445079925470054), (987515173, 1982, 'Papier_Magazine', 304, -1, 272, -1, 0.0002754167071543634), (987515173, 1982, 'Papier_Magazine', 336, -1, 272, -1, 0.00015975165297277272), (987515173, 1982, 'Papier_Magazine', 112, -1, 304, -1, 0.0010003139032050967), (987515173, 1982, 'Papier_Magazine', 144, -1, 304, -1, 0.00098850904032588), (987515173, 1982, 'Papier_Magazine', 176, -1, 304, -1, 0.0031978762708604336), (987515173, 1982, 'Papier_Magazine', 208, -1, 304, -1, 0.004998487886041403), (987515173, 1982, 'Papier_Magazine', 240, -1, 304, -1, 0.003500500228255987), (987515173, 1982, 'Papier_Magazine', 272, -1, 304, -1, 0.004085177555680275), (987515173, 1982, 'Papier_Magazine', 304, -1, 304, -1, 0.006906784139573574), (987515173, 1982, 'Papier_Magazine', 336, -1, 304, -1, 0.0019606715068221092), (987515173, 1982, 'Papier_Magazine', 112, -1, 336, -1, 0.004855054430663586), (987515173, 1982, 'Papier_Magazine', 144, -1, 336, -1, 0.015452512539923191), (987515173, 1982, 'Papier_Magazine', 176, -1, 336, -1, 0.006799630355089903), (987515173, 1982, 'Papier_Magazine', 208, -1, 336, -1, 0.00795910693705082), (987515173, 1982, 'Papier_Magazine', 240, -1, 336, -1, 0.019058510661125183), (987515173, 1982, 'Papier_Magazine', 272, -1, 336, -1, 0.0036501367576420307), (987515173, 1982, 'Papier_Magazine', 304, -1, 336, -1, 0.00630150455981493), (987515173, 1982, 'Papier_Magazine', 336, -1, 336, -1, 0.004436298739165068), (987515173, 1982, 'Plastique', 112, -1, 112, -1, 5.6141232107620453e-08), (987515173, 1982, 'Plastique', 144, -1, 112, -1, 8.159147455444327e-07), (987515173, 1982, 'Plastique', 176, -1, 112, -1, 6.256080814637244e-05), (987515173, 1982, 'Plastique', 208, -1, 112, -1, 0.0035462668165564537), (987515173, 1982, 'Plastique', 240, -1, 112, -1, 0.0031700001563876867), (987515173, 1982, 'Plastique', 272, -1, 112, -1, 0.007468692492693663), (987515173, 1982, 'Plastique', 304, -1, 112, -1, 0.0547492653131485), (987515173, 1982, 'Plastique', 336, -1, 112, -1, 0.05956268310546875), (987515173, 1982, 'Plastique', 112, -1, 144, -1, 2.755896957751247e-06), (987515173, 1982, 'Plastique', 144, -1, 144, -1, 1.8967084542964585e-05), (987515173, 1982, 'Plastique', 176, -1, 144, -1, 0.00017682967882137746), (987515173, 1982, 'Plastique', 208, -1, 144, -1, 0.0015016354154795408), (987515173, 1982, 'Plastique', 240, -1, 144, -1, 0.005047684069722891), (987515173, 1982, 'Plastique', 272, -1, 144, -1, 0.08478548377752304), (987515173, 1982, 'Plastique', 304, -1, 144, -1, 0.40974822640419006), (987515173, 1982, 'Plastique', 336, -1, 144, -1, 0.07085500657558441), (987515173, 1982, 'Plastique', 112, -1, 176, -1, 3.926321824110346e-06), (987515173, 1982, 'Plastique', 144, -1, 176, -1, 9.550068352837116e-05), (987515173, 1982, 'Plastique', 176, -1, 176, -1, 0.0003389752237126231), (987515173, 1982, 'Plastique', 208, -1, 176, -1, 0.00038922979729250073), (987515173, 1982, 'Plastique', 240, -1, 176, -1, 0.000622189196292311), (987515173, 1982, 'Plastique', 272, -1, 176, -1, 0.008898383937776089), (987515173, 1982, 'Plastique', 304, -1, 176, -1, 0.037348244339227676), (987515173, 1982, 'Plastique', 336, -1, 176, -1, 0.0020713433623313904), (987515173, 1982, 'Plastique', 112, -1, 208, -1, 7.618794916197658e-05), (987515173, 1982, 'Plastique', 144, -1, 208, -1, 4.152804831392132e-05), (987515173, 1982, 'Plastique', 176, -1, 208, -1, 8.25697134132497e-05), (987515173, 1982, 'Plastique', 208, -1, 208, -1, 3.8299436710076407e-05), (987515173, 1982, 'Plastique', 240, -1, 208, -1, 8.240667739300989e-06), (987515173, 1982, 'Plastique', 272, -1, 208, -1, 1.1940247532038484e-05), (987515173, 1982, 'Plastique', 304, -1, 208, -1, 1.2167646673333365e-05), (987515173, 1982, 'Plastique', 336, -1, 208, -1, 4.104117124370532e-06), (987515173, 1982, 'Plastique', 112, -1, 240, -1, 0.00014464052219409496), (987515173, 1982, 'Plastique', 144, -1, 240, -1, 3.530570393195376e-05), (987515173, 1982, 'Plastique', 176, -1, 240, -1, 2.1233541701803915e-05), (987515173, 1982, 'Plastique', 208, -1, 240, -1, 7.349878160312073e-06), (987515173, 1982, 'Plastique', 240, -1, 240, -1, 4.862713922193507e-06), (987515173, 1982, 'Plastique', 272, -1, 240, -1, 2.7812159260065528e-06), (987515173, 1982, 'Plastique', 304, -1, 240, -1, 7.9742267189431e-07), (987515173, 1982, 'Plastique', 336, -1, 240, -1, 3.5323458291713905e-07), (987515173, 1982, 'Plastique', 112, -1, 272, -1, 3.370598642504774e-05), (987515173, 1982, 'Plastique', 144, -1, 272, -1, 1.1657458344416227e-05), (987515173, 1982, 'Plastique', 176, -1, 272, -1, 1.3412164662440773e-05), (987515173, 1982, 'Plastique', 208, -1, 272, -1, 5.4183283282327466e-06), (987515173, 1982, 'Plastique', 240, -1, 272, -1, 9.516161867395567e-07), (987515173, 1982, 'Plastique', 272, -1, 272, -1, 6.841042932137498e-07), (987515173, 1982, 'Plastique', 304, -1, 272, -1, 5.709790116270597e-07), (987515173, 1982, 'Plastique', 336, -1, 272, -1, 7.471766139133251e-07), (987515173, 1982, 'Plastique', 112, -1, 304, -1, 3.3624403386056656e-06), (987515173, 1982, 'Plastique', 144, -1, 304, -1, 3.3564776913408423e-06), (987515173, 1982, 'Plastique', 176, -1, 304, -1, 6.499857590824831e-06), (987515173, 1982, 'Plastique', 208, -1, 304, -1, 8.74979104992235e-06), (987515173, 1982, 'Plastique', 240, -1, 304, -1, 3.3898852507263655e-06), (987515173, 1982, 'Plastique', 272, -1, 304, -1, 4.761940544995014e-06), (987515173, 1982, 'Plastique', 304, -1, 304, -1, 4.486297711991938e-06), (987515173, 1982, 'Plastique', 336, -1, 304, -1, 2.416018787698704e-06), (987515173, 1982, 'Plastique', 112, -1, 336, -1, 1.5474468455067836e-05), (987515173, 1982, 'Plastique', 144, -1, 336, -1, 5.348218837752938e-05), (987515173, 1982, 'Plastique', 176, -1, 336, -1, 3.425710747251287e-05), (987515173, 1982, 'Plastique', 208, -1, 336, -1, 2.362397572142072e-05), (987515173, 1982, 'Plastique', 240, -1, 336, -1, 3.849585118587129e-05), (987515173, 1982, 'Plastique', 272, -1, 336, -1, 2.5724704755702987e-05), (987515173, 1982, 'Plastique', 304, -1, 336, -1, 3.32572526531294e-05), (987515173, 1982, 'Plastique', 336, -1, 336, -1, 4.182809789199382e-05), (987515173, 1982, 'Sol_Environement', 112, -1, 112, -1, 2.868419477636275e-12), (987515173, 1982, 'Sol_Environement', 144, -1, 112, -1, 5.523121959782884e-10), (987515173, 1982, 'Sol_Environement', 176, -1, 112, -1, 4.900385874861968e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 112, -1, 1.0154673873330466e-05), (987515173, 1982, 'Sol_Environement', 240, -1, 112, -1, 9.195432539854664e-06), (987515173, 1982, 'Sol_Environement', 272, -1, 112, -1, 5.606772901955992e-05), (987515173, 1982, 'Sol_Environement', 304, -1, 112, -1, 0.0003773991484194994), (987515173, 1982, 'Sol_Environement', 336, -1, 112, -1, 0.0001645895972615108), (987515173, 1982, 'Sol_Environement', 112, -1, 144, -1, 1.0082852952564281e-07), (987515173, 1982, 'Sol_Environement', 144, -1, 144, -1, 5.764662205365312e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 144, -1, 1.434514388165553e-06), (987515173, 1982, 'Sol_Environement', 208, -1, 144, -1, 5.8842470025410876e-06), (987515173, 1982, 'Sol_Environement', 240, -1, 144, -1, 1.8212500435765833e-05), (987515173, 1982, 'Sol_Environement', 272, -1, 144, -1, 0.0001265182509087026), (987515173, 1982, 'Sol_Environement', 304, -1, 144, -1, 0.0003240719670429826), (987515173, 1982, 'Sol_Environement', 336, -1, 144, -1, 9.647771366871893e-05), (987515173, 1982, 'Sol_Environement', 112, -1, 176, -1, 4.1730774569259665e-07), (987515173, 1982, 'Sol_Environement', 144, -1, 176, -1, 1.0271594419464236e-06), (987515173, 1982, 'Sol_Environement', 176, -1, 176, -1, 6.567757282027742e-06), (987515173, 1982, 'Sol_Environement', 208, -1, 176, -1, 1.724419121273968e-06), (987515173, 1982, 'Sol_Environement', 240, -1, 176, -1, 3.7257050280459225e-06), (987515173, 1982, 'Sol_Environement', 272, -1, 176, -1, 2.7936097467318177e-05), (987515173, 1982, 'Sol_Environement', 304, -1, 176, -1, 0.000153595203300938), (987515173, 1982, 'Sol_Environement', 336, -1, 176, -1, 0.0002425200364086777), (987515173, 1982, 'Sol_Environement', 112, -1, 208, -1, 4.007548795925686e-06), (987515173, 1982, 'Sol_Environement', 144, -1, 208, -1, 7.556081982329488e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 208, -1, 1.33563264625991e-06), (987515173, 1982, 'Sol_Environement', 208, -1, 208, -1, 9.055275427272136e-07), (987515173, 1982, 'Sol_Environement', 240, -1, 208, -1, 6.80568007283e-07), (987515173, 1982, 'Sol_Environement', 272, -1, 208, -1, 1.0802282304211985e-06), (987515173, 1982, 'Sol_Environement', 304, -1, 208, -1, 1.4485206065728562e-06), (987515173, 1982, 'Sol_Environement', 336, -1, 208, -1, 2.315394340257626e-06), (987515173, 1982, 'Sol_Environement', 112, -1, 240, -1, 4.609717507264577e-06), (987515173, 1982, 'Sol_Environement', 144, -1, 240, -1, 3.760850120215764e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 240, -1, 2.4972308665383025e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 240, -1, 2.162102106240127e-07), (987515173, 1982, 'Sol_Environement', 240, -1, 240, -1, 5.594059757640935e-07), (987515173, 1982, 'Sol_Environement', 272, -1, 240, -1, 8.702729701326462e-07), (987515173, 1982, 'Sol_Environement', 304, -1, 240, -1, 6.638645686507516e-07), (987515173, 1982, 'Sol_Environement', 336, -1, 240, -1, 7.819636493877624e-07), (987515173, 1982, 'Sol_Environement', 112, -1, 272, -1, 2.998317086166935e-06), (987515173, 1982, 'Sol_Environement', 144, -1, 272, -1, 6.870469633213361e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 272, -1, 5.019783770876529e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 272, -1, 2.0003250256195315e-07), (987515173, 1982, 'Sol_Environement', 240, -1, 272, -1, 1.305952253005671e-07), (987515173, 1982, 'Sol_Environement', 272, -1, 272, -1, 2.665562988113379e-07), (987515173, 1982, 'Sol_Environement', 304, -1, 272, -1, 1.6129426683164638e-07), (987515173, 1982, 'Sol_Environement', 336, -1, 272, -1, 4.879660195911129e-07), (987515173, 1982, 'Sol_Environement', 112, -1, 304, -1, 7.007463409536285e-07), (987515173, 1982, 'Sol_Environement', 144, -1, 304, -1, 4.0527470446249936e-07), (987515173, 1982, 'Sol_Environement', 176, -1, 304, -1, 8.905301456252346e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 304, -1, 2.3423306174663594e-06), (987515173, 1982, 'Sol_Environement', 240, -1, 304, -1, 3.07040500047151e-06), (987515173, 1982, 'Sol_Environement', 272, -1, 304, -1, 2.6742143290903186e-06), (987515173, 1982, 'Sol_Environement', 304, -1, 304, -1, 1.5407905493702856e-06), (987515173, 1982, 'Sol_Environement', 336, -1, 304, -1, 1.6071425079644541e-06), (987515173, 1982, 'Sol_Environement', 112, -1, 336, -1, 4.6218934812713997e-07), (987515173, 1982, 'Sol_Environement', 144, -1, 336, -1, 1.1270371942373458e-06), (987515173, 1982, 'Sol_Environement', 176, -1, 336, -1, 6.7951765458929e-07), (987515173, 1982, 'Sol_Environement', 208, -1, 336, -1, 1.428649625268008e-06), (987515173, 1982, 'Sol_Environement', 240, -1, 336, -1, 3.329459332235274e-06), (987515173, 1982, 'Sol_Environement', 272, -1, 336, -1, 2.1186540379858343e-06), (987515173, 1982, 'Sol_Environement', 304, -1, 336, -1, 2.30047612603812e-06), (987515173, 1982, 'Sol_Environement', 336, -1, 336, -1, 3.3867856927827233e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 112, -1, 4.5763185880787205e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 112, -1, 2.4667410798429046e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 112, -1, 1.7644790204940364e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 112, -1, 0.0004751318192575127), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 112, -1, 0.00011559395352378488), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 112, -1, 0.0002086182648781687), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 112, -1, 0.001436156453564763), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 112, -1, 0.0020172586664557457), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 144, -1, 3.0628001695731655e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 144, -1, 1.7169637430924922e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 144, -1, 2.076337295875419e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 144, -1, 0.00027389483875595033), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 144, -1, 0.00046537109301425517), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 144, -1, 0.000530056597199291), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 144, -1, 0.00019008939852938056), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 144, -1, 0.0002055858785752207), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 176, -1, 1.5017121768323705e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 176, -1, 6.803040378144942e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 176, -1, 2.1028648916399106e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 176, -1, 2.4186203518183902e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 176, -1, 3.5381050111027434e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 176, -1, 7.938392809592187e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 176, -1, 0.00010070369171444327), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 176, -1, 0.0003783076535910368), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 208, -1, 1.5062307284097187e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 208, -1, 1.4706241699968814e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 208, -1, 4.752442691824399e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 208, -1, 3.820905476459302e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 208, -1, 3.5850812309945468e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 208, -1, 1.1633857866399921e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 208, -1, 1.3386453247221652e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 208, -1, 5.924196375417523e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 240, -1, 4.228128454997204e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 240, -1, 5.329504801920848e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 240, -1, 3.921219104086049e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 240, -1, 2.404487986495951e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 240, -1, 5.774598776042694e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 240, -1, 2.1153038687771186e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 240, -1, 1.7846201444626786e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 240, -1, 2.269361175422091e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 272, -1, 0.00020087922166567296), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 272, -1, 6.68616485199891e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 272, -1, 4.3661038944264874e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 272, -1, 1.4478476259682793e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 272, -1, 7.0289911491272505e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 272, -1, 1.533157228550408e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 272, -1, 1.5414047084050253e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 272, -1, 0.00010712390212574974), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 304, -1, 9.4969967904035e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 304, -1, 0.00010994898912031204), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 304, -1, 0.00015803151472937316), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 304, -1, 0.0005424839328043163), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 304, -1, 0.00236088247038424), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 304, -1, 0.007481492590159178), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 304, -1, 0.005744471680372953), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 304, -1, 0.004485584795475006), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 336, -1, 0.00024030204804148525), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 336, -1, 0.0019966147374361753), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 336, -1, 0.0007503638626076281), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 336, -1, 0.003325589932501316), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 336, -1, 0.06416584551334381), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 336, -1, 0.038109004497528076), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 336, -1, 0.03875187039375305), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 336, -1, 0.005876115523278713), (987515173, 1982, 'autre_refus', 112, -1, 112, -1, 5.768084898605252e-10), (987515173, 1982, 'autre_refus', 144, -1, 112, -1, 2.055623227192882e-08), (987515173, 1982, 'autre_refus', 176, -1, 112, -1, 1.434126033927896e-06), (987515173, 1982, 'autre_refus', 208, -1, 112, -1, 9.264342952519655e-05), (987515173, 1982, 'autre_refus', 240, -1, 112, -1, 0.00021761414245702326), (987515173, 1982, 'autre_refus', 272, -1, 112, -1, 0.0017507487209513783), (987515173, 1982, 'autre_refus', 304, -1, 112, -1, 0.017686402425169945), (987515173, 1982, 'autre_refus', 336, -1, 112, -1, 0.00897960551083088), (987515173, 1982, 'autre_refus', 112, -1, 144, -1, 9.10000380827114e-07), (987515173, 1982, 'autre_refus', 144, -1, 144, -1, 2.9073653422528878e-06), (987515173, 1982, 'autre_refus', 176, -1, 144, -1, 1.0326749361411203e-05), (987515173, 1982, 'autre_refus', 208, -1, 144, -1, 0.00013497367035597563), (987515173, 1982, 'autre_refus', 240, -1, 144, -1, 0.000346851913491264), (987515173, 1982, 'autre_refus', 272, -1, 144, -1, 0.004945500288158655), (987515173, 1982, 'autre_refus', 304, -1, 144, -1, 0.0435323528945446), (987515173, 1982, 'autre_refus', 336, -1, 144, -1, 0.09579598158597946), (987515173, 1982, 'autre_refus', 112, -1, 176, -1, 1.5099652046046685e-05), (987515173, 1982, 'autre_refus', 144, -1, 176, -1, 0.00012873567175120115), (987515173, 1982, 'autre_refus', 176, -1, 176, -1, 0.00023613371013198048), (987515173, 1982, 'autre_refus', 208, -1, 176, -1, 0.0008116969838738441), (987515173, 1982, 'autre_refus', 240, -1, 176, -1, 0.0006528055528178811), (987515173, 1982, 'autre_refus', 272, -1, 176, -1, 0.0042976150289177895), (987515173, 1982, 'autre_refus', 304, -1, 176, -1, 0.023302560672163963), (987515173, 1982, 'autre_refus', 336, -1, 176, -1, 0.01871517486870289), (987515173, 1982, 'autre_refus', 112, -1, 208, -1, 8.849620644468814e-05), (987515173, 1982, 'autre_refus', 144, -1, 208, -1, 0.00018635093874763697), (987515173, 1982, 'autre_refus', 176, -1, 208, -1, 0.0003194685559719801), (987515173, 1982, 'autre_refus', 208, -1, 208, -1, 0.00035766660585068166), (987515173, 1982, 'autre_refus', 240, -1, 208, -1, 0.00019589399744290859), (987515173, 1982, 'autre_refus', 272, -1, 208, -1, 0.0002863640838768333), (987515173, 1982, 'autre_refus', 304, -1, 208, -1, 0.00020298798335716128), (987515173, 1982, 'autre_refus', 336, -1, 208, -1, 0.00024473218945786357), (987515173, 1982, 'autre_refus', 112, -1, 240, -1, 0.0002338831254746765), (987515173, 1982, 'autre_refus', 144, -1, 240, -1, 0.00010828423546627164), (987515173, 1982, 'autre_refus', 176, -1, 240, -1, 6.500016752397642e-05), (987515173, 1982, 'autre_refus', 208, -1, 240, -1, 2.5274739527958445e-05), (987515173, 1982, 'autre_refus', 240, -1, 240, -1, 7.298097625607625e-05), (987515173, 1982, 'autre_refus', 272, -1, 240, -1, 0.000140949894557707), (987515173, 1982, 'autre_refus', 304, -1, 240, -1, 8.929127216106281e-05), (987515173, 1982, 'autre_refus', 336, -1, 240, -1, 8.17256368463859e-05), (987515173, 1982, 'autre_refus', 112, -1, 272, -1, 0.0002690310648176819), (987515173, 1982, 'autre_refus', 144, -1, 272, -1, 0.00011150002683280036), (987515173, 1982, 'autre_refus', 176, -1, 272, -1, 0.00012467073975130916), (987515173, 1982, 'autre_refus', 208, -1, 272, -1, 5.0943781388923526e-05), (987515173, 1982, 'autre_refus', 240, -1, 272, -1, 2.9026256015640683e-05), (987515173, 1982, 'autre_refus', 272, -1, 272, -1, 4.229433397995308e-05), (987515173, 1982, 'autre_refus', 304, -1, 272, -1, 6.855193350929767e-05), (987515173, 1982, 'autre_refus', 336, -1, 272, -1, 0.00014142620784696192), (987515173, 1982, 'autre_refus', 112, -1, 304, -1, 0.00011609971261350438), (987515173, 1982, 'autre_refus', 144, -1, 304, -1, 0.0002177054266212508), (987515173, 1982, 'autre_refus', 176, -1, 304, -1, 0.0004259516717866063), (987515173, 1982, 'autre_refus', 208, -1, 304, -1, 0.0004292438388802111), (987515173, 1982, 'autre_refus', 240, -1, 304, -1, 6.586161180166528e-05), (987515173, 1982, 'autre_refus', 272, -1, 304, -1, 3.1808140192879364e-05), (987515173, 1982, 'autre_refus', 304, -1, 304, -1, 1.209946276503615e-05), (987515173, 1982, 'autre_refus', 336, -1, 304, -1, 1.880360650829971e-05), (987515173, 1982, 'autre_refus', 112, -1, 336, -1, 0.0002473370695952326), (987515173, 1982, 'autre_refus', 144, -1, 336, -1, 0.00047080242075026035), (987515173, 1982, 'autre_refus', 176, -1, 336, -1, 0.0003341491101309657), (987515173, 1982, 'autre_refus', 208, -1, 336, -1, 0.0002366387634538114), (987515173, 1982, 'autre_refus', 240, -1, 336, -1, 0.00010615005157887936), (987515173, 1982, 'autre_refus', 272, -1, 336, -1, 9.554660209687427e-05), (987515173, 1982, 'autre_refus', 304, -1, 336, -1, 0.00013166829012334347), (987515173, 1982, 'autre_refus', 336, -1, 336, -1, 0.0007315984694287181)]}

############################### TEST certificat_qualite_papier  ################################
TEST certificat qualite papier
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1848

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1848
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1848
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1848
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Step 4442 tile have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 4441 detect_points is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 4443 count_percent_refus is not consistent : 4 used against 3 in the step definition !
Step 4444 send_mail_dechet have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : output 1 of step 4440 have datatype=1 whereas input 0 of step 4443 have datatype=2
WARNING : type of output 1 of step 4441 doesn't seem to be define in the database(
WARNING : type of input 4 of step 4443 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : init_dechet, tile, detect_points, count_percent_refus, brightness, blur_detection, send_mail_dechet
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1902940) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
Catched exception !
Connect or reconnect !
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (1902940)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 987321136, 'portfolio_id': 1902940}]
 map_portfolio_id_photo_id: {1902940: [987321136]}
##### Call download_photos : nb_thread : 5
begin to download photo : 987321136
download finish for photo 987321136
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.18305277824401855
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  7
step1:init_dechet
Sun Feb  2 03:42:15 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136}
map_photo_id_path_extension : {987321136: {'path': 'temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
debut step init detect dechets
input :  temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg
ON MODIFIE NB AVEC LE INPUT
map photo id path extension :  temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg
scale : 0.9481481481481482
FIN step init dechet

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 1 keys : dict_keys([1902940])
Inside saveOutput : final : False verbose : True
 saveOutput not yet implemented for datou_step.type : init_dechet we use saveGeneral 
[987321136]
 map_info['map_portfolio_photo'] : {1902940: [987321136]}
 final :  False mtd_id 1848 list_pids : [987321136]
Looping around the photos to save general results
len do output : 1
/987321136Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c2df640>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f615465f0a0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5f1ad5f2e0>
Managing all output in save final without adding information in the mtr_datou_result 
('1848', None, None, None, None, None, None, None, None)
('1848', '1902940', '987321136', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 4
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('1848', '1902940', '987321136', 'None', None, None, None, None, None)]
time used for this insertion : 0.05166959762573242
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 0.0007004737854003906
time spend to save output : 0.05200386047363281
total time spend for step 1 : 0.0527043342590332

step2:tile
Sun Feb  2 03:42:15 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'987321136': ['temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 input_args_next_step : {'987321136': ()}
 output_args : {'987321136': ['temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 args : 987321136
 depend.output_id : 0
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : ('temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg',)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136}
map_photo_id_path_extension : {987321136: {'path': 'temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {0: 987321136}
verbose : True
 param_json : {'token': '78d09a0790ec6ecbf119343125a81fdc', 'portfolio_name': 'tile_correct_upm', 'ETA': 86400, 'new_width': 1500, 'new_height': 20000, 'host': 'www.fotonower.com', 'protocol': 'https', 'photo_tile_type': 1522, 'option_bande': 'True'}
 type(crop_hashtag_type) : <class 'int'>
 type(crop_hashtag_type_tiled) : <class 'int'>
We consider crop_hashtag_type is an integer ! 
  map_chi_type_to_chi_type_cropped : {406: 410}
 map_filenames :  {987321136: 'temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg'}
 list_pids :   1
 list_pids :   2
 list_subpids to replace list_pids : 1
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 987321136,987321136,987321136) and `type` in (406) 
Loaded 0 chid ids of type : 0
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in ()
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=tile_correct_upm&access_token=78d09a0790ec6ecbf119343125a81fdc
 created feed_id_new_photos : 20149260 with name tile_correct_upm
 feed_id_new_photos : 20149260
 filename : temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg
 photo_id : 987321136
 height_image_input : 439 width_image_input : 562
 new_width : 1500 new_height : 20000
 stride : 0 stride_relative : 0.1
 chi to copy from the main photo to the tiled photo  input_chi_for_this_image_as_chi :  0
list_bib_to_crops : 1 [(0, 562, 0, 439, 0)]
calcul des nouveaux crops pour le tile x0:0,x1:562,y0:0,y1:439
chi selectionnes : []
 new_crops_tiles : 1 crop_transformed : 0
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
[(987321136, 2090988864, 1522, 0, 562, 0, 439, 1.0)]
  list_photo_ids_cropped : [987321136]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 987321136) and `type` in (1522) 
Loaded 1 chid ids of type : 1522
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1608847328)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1608847328)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1608847328)
treat the image : temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea.jpg
, 0
before upload mediasElapsed time : 0.026375770568847656


About to upload 1 photos
upload in portfolio : 20149260
400

uploaded one batch 0 Elapsed time : 0.06064724922180176


upload mediasElapsed time : 0.08710765838623047

ERROR in datou_step_exec, will save and exit !
'temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'
  File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec
    output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id)
  File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2438, in datou_step_exec
    return pre_process.datou_step_exec_tile(param, json_param, args, context, map_info, verbose, mtr_user_id)
  File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_pre_processing.py", line 468, in datou_step_exec_tile
    map_new_photo_id_files = crop_and_record(photo_id, filename, new_crops_tiles,
  File "/home/admin/workarea/git/Velours/python/mtr/simple_image_editor/rotate_crop_and_images.py", line 1267, in crop_and_record
    new_photo_id = map_path_new_photo_id[path_photo_id_temp]

[987321136, 987321136]
 map_info['map_portfolio_photo'] : {1902940: [987321136]}
 final :  True mtd_id 1848 list_pids : [987321136, 987321136]


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 2
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('1848', '1902940', '987321136', '[<FrameSummary file /home/admin/workarea/git/Velours/python/tests/python_tests.py, line 245 in <module>>, <FrameSummary file /home/admin/workarea/git/Velours/python/tests/datou_test.py, line 3680 in test>, <FrameSummary file /home/admin/workarea/git/Velours/python/tests/datou_test.py, line 2254 in test_certificat_qualite_papier>, <FrameSummary file /home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py, line 819 in batchDatouExec>, <FrameSummary file /home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py, line 2346 in datou_exec>, "\'temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea_0.jpg\'"]', '-1', '-1.0', '501120777', '1.0', None)]
time used for this insertion : 0.023324012756347656
 save_final 
ERROR in last step tile, 'temp/1738464135_2241491_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'

time spend for datou_step_exec : 6.818209886550903
time spend to save output : 0.030560731887817383
total time spend for step 1 : 6.848770618438721
Useless call to update_current_state
caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 7
 output : None
probably due to empty image bug
ERROR
expected : {987321136: (-110, -0.39870825574700136, -5.392404060312662, 30.0, 61.64383561643836, {'carton': 3, 'Papier_Magazine': 7}, {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164})}
got : None
ERROR certificat_qualite_papier FAILED

############################### TEST image_temperature_detection  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1807

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1807
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1807
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1807
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : image_temperature_detection
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (984484223) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 984484223
download finish for photo 984484223
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.14925336837768555
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:image_temperature_detection
Sun Feb  2 03:42:22 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464142_2241491_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg': 984484223}
map_photo_id_path_extension : {984484223: {'path': 'temp/1738464142_2241491_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
inside step blanche_jaune_detection
treat image : temp/1738464142_2241491_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg
984484223 1.004309911525615

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.2304692268371582
time spend to save output : 0.00011587142944335938
total time spend for step 1 : 0.23058509826660156

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {984484223: [(984484223, 1.004309911525615, 492630606)]}
{984484223: [(984484223, 1.004309911525615, 492630606)]}

############################### TEST broca  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4041

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4041
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4041
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4041
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5205529) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5205529)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1064921404, 'portfolio_id': 5205529}, {'photo_id': 1064921402, 'portfolio_id': 5205529}, {'photo_id': 1064921401, 'portfolio_id': 5205529}, {'photo_id': 1064921201, 'portfolio_id': 5205529}, {'photo_id': 1064921196, 'portfolio_id': 5205529}, {'photo_id': 1064919876, 'portfolio_id': 5205529}, {'photo_id': 1064919873, 'portfolio_id': 5205529}, {'photo_id': 1064919869, 'portfolio_id': 5205529}, {'photo_id': 1064919862, 'portfolio_id': 5205529}, {'photo_id': 1064919858, 'portfolio_id': 5205529}, {'photo_id': 1064919856, 'portfolio_id': 5205529}, {'photo_id': 1064919752, 'portfolio_id': 5205529}, {'photo_id': 1064919748, 'portfolio_id': 5205529}, {'photo_id': 1064919745, 'portfolio_id': 5205529}, {'photo_id': 1064919741, 'portfolio_id': 5205529}, {'photo_id': 1064919737, 'portfolio_id': 5205529}, {'photo_id': 1064919730, 'portfolio_id': 5205529}, {'photo_id': 1064919660, 'portfolio_id': 5205529}]
 map_portfolio_id_photo_id: {5205529: [1064921404, 1064921402, 1064921401, 1064921201, 1064921196, 1064919876, 1064919873, 1064919869, 1064919862, 1064919858, 1064919856, 1064919752, 1064919748, 1064919745, 1064919741, 1064919737, 1064919730, 1064919660]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.11908292770385742
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:split_time_score
Sun Feb  2 03:42:23 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
split portfolio by speed
calcul order for each photo with time
calcul time for a portfolio
query : SELECT photo_id, text FROM MTRBack.photos where photo_id in
                 (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 5205529);
                
result : ((1064919660, 'image_01122021_10_11_30_014389.jpg'), (1064919730, 'image_01122021_10_12_17_665202.jpg'), (1064919737, 'image_01122021_10_11_40_031052.jpg'), (1064919741, 'image_01122021_10_11_34_021658.jpg'), (1064919745, 'image_01122021_10_11_32_018001.jpg'), (1064919748, 'image_01122021_10_12_27_027057.jpg'), (1064919752, 'image_01122021_10_12_24_005017.jpg'), (1064919856, 'image_01122021_10_13_13_399843.jpg'), (1064919858, 'image_01122021_10_13_04_729164.jpg'), (1064919862, 'image_01122021_10_12_56_581019.jpg'), (1064919869, 'image_01122021_10_12_29_030603.jpg'), (1064919873, 'image_01122021_10_13_30_005720.jpg'), (1064919876, 'image_01122021_10_13_22_147712.jpg'), (1064921196, 'image_01122021_10_16_18_114975.jpg'), (1064921201, 'image_01122021_10_16_14_925132.jpg'), (1064921401, 'image_01122021_10_16_57_981306.jpg'), (1064921402, 'image_01122021_10_16_53_913663.jpg'), (1064921404, 'image_01122021_10_16_47_889875.jpg'))

            INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) 
            VALUES (%s, %s, %s) on duplicate key update `order`=VALUES(`order`);
 first line : (5205529, 1064919660, 1098136690)
...
 last line : (5205529, 1064921404, 1098137007)
2021-12-01 10:11:30
2021-12-01 10:11:32
2021-12-01 10:11:30
2021-12-01 10:11:34
2021-12-01 10:11:32
2021-12-01 10:11:40
2021-12-01 10:11:34
2021-12-01 10:12:17
2021-12-01 10:11:40
2021-12-01 10:12:24
2021-12-01 10:12:17
2021-12-01 10:12:27
2021-12-01 10:12:24
2021-12-01 10:12:29
2021-12-01 10:12:27
2021-12-01 10:12:56
2021-12-01 10:12:29
2021-12-01 10:13:04
2021-12-01 10:12:56
2021-12-01 10:13:13
2021-12-01 10:13:04
2021-12-01 10:13:04
distance 1.4513659170185111
2021-12-01 10:13:13
2021-12-01 10:13:22
2021-12-01 10:13:13
2021-12-01 10:13:30
2021-12-01 10:13:22
2021-12-01 10:16:14
2021-12-01 10:13:30
2021-12-01 10:13:30
distance 8.382409567451603
2021-12-01 10:16:14
2021-12-01 10:16:18
2021-12-01 10:16:14
2021-12-01 10:16:47
2021-12-01 10:16:18
2021-12-01 10:16:53
2021-12-01 10:16:47
2021-12-01 10:16:47
distance 8.03396608896571
2021-12-01 10:16:53
2021-12-01 10:16:57
2021-12-01 10:16:53
dict_time_useful: {0: [1098136690, 1098136784, 48.864288393888884, 2.19199505125, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94]], 1: [1098136974, 1098137007, 48.86291258986111, 2.19361357125, [datetime.datetime(2021, 12, 1, 10, 16, 14), datetime.datetime(2021, 12, 1, 10, 16, 47), 33]]}
len of dic_time_useful : 2
get gps info of PAV

                SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV;
                
get gps info of PAV

                SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV WHERE type_pav = "CS";
                
get gps info of PAV

                SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV WHERE type_pav = "OM";
                
select cs_nb_photo / nb_photo, om_nb_photo / nb_photo
            from (select sum(1) as nb_photo,sum(if (tags= "[CS]",1,0)) as cs_nb_photo, sum(if (tags= "[OM]",1,0)) as om_nb_photo
            from MTRBack.photos where photo_id in
            ()) t1;
select cs_nb_photo / nb_photo, om_nb_photo / nb_photo
            from (select sum(1) as nb_photo,sum(if (tags= "[CS]",1,0)) as cs_nb_photo, sum(if (tags= "[OM]",1,0)) as om_nb_photo
            from MTRBack.photos where photo_id in
            (1064919660, 1064919745, 1064919741, 1064919737, 1064919730, 1064919752, 1064919748, 1064919869, 1064919862, 1064919858)) t1;
distance: RUEIL14CS [48.864288393888884, 2.19199505125] 16.57008455321128
(20149261, 48.864288393888884, 2.19199505125, 10, 1064919752, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94.0], 5205529)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.21820759773254395
time spend to save output : 0.0004966259002685547
total time spend for step 1 : 0.2187042236328125

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
{15: [(20149261, 48.864288393888884, 2.19199505125, 10, 1064919752, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94.0], 5205529)]}
résultat du premier test BROCA :  True True

############################### TEST crop_conditional  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=719

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=719
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 719
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=719
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 1335 frcnn is not linked in the step_by_step architecture !
WARNING : step 1336 crop_condition is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : frcnn, crop_condition
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1981316) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (1981316)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 950003838, 'portfolio_id': 1981316}, {'photo_id': 950003813, 'portfolio_id': 1981316}, {'photo_id': 950003812, 'portfolio_id': 1981316}, {'photo_id': 950003696, 'portfolio_id': 1981316}, {'photo_id': 950003695, 'portfolio_id': 1981316}, {'photo_id': 926687666, 'portfolio_id': 1981316}]
 map_portfolio_id_photo_id: {1981316: [950003838, 950003813, 950003812, 950003696, 950003695, 926687666]}
##### Call download_photos : nb_thread : 5
begin to download photo : 950003838
begin to download photo : 950003812
begin to download photo : 950003695
download finish for photo 950003838
begin to download photo : 950003813
download finish for photo 950003812
begin to download photo : 950003696
download finish for photo 950003813
download finish for photo 950003696
download finish for photo 950003695
begin to download photo : 926687666
download finish for photo 926687666
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 6 ; length of list_pids : 6 ; length of list_args : 6
##### After load_data_input 
time to download the photos : 0.4741201400756836
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:frcnn
Sun Feb  2 03:42:23 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464143_2241491_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg': 950003838, 'temp/1738464143_2241491_950003813_e28be02dfcce79cce594a390a9911a0a.jpg': 950003813, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg': 950003812, 'temp/1738464143_2241491_950003696_11e3a77b72af4b332d366d98984039c7.jpg': 950003696, 'temp/1738464143_2241491_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg': 950003695, 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg': 926687666}
map_photo_id_path_extension : {950003838: {'path': 'temp/1738464143_2241491_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'extension': 'jpg'}, 950003813: {'path': 'temp/1738464143_2241491_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'extension': 'jpg'}, 950003812: {'path': 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'extension': 'jpg'}, 950003696: {'path': 'temp/1738464143_2241491_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'extension': 'jpg'}, 950003695: {'path': 'temp/1738464143_2241491_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'extension': 'jpg'}, 926687666: {'path': 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Faster rcnn !
Inside try reload !
classes : ['background', 'retroviseur', 'roue', 'capot', 'pare-brise', 'vitre', 'phare', 'feu-antibrouillard', 'feu-arriere', 'poignee', 'porte', 'radiateur', 'logo-marque', 'cache-reservoir', 'plaque-immatriculation', 'pot-echappement', 'info-modele', 'essuie-glace', 'pare-choc', 'coffre', 'carrosserie-autre', 'toit', 'logo-roue', 'aile-avant', 'aile-arriere', 'autre']
pht : 757
caffemodel_name (should be vgg16_immat_307 but not used because net loaded outside in the fonction) : {'id': 685, 'mtr_user_id': 31, 'name': 'learn_piece_voiture_0808_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,retroviseur,roue,capot,pare-brise,vitre,phare,feu-antibrouillard,feu-arriere,poignee,porte,radiateur,logo-marque,cache-reservoir,plaque-immatriculation,pot-echappement,info-modele,essuie-glace,pare-choc,coffre,carrosserie-autre,toit,logo-roue,aile-avant,aile-arriere,autre', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 757, 'photo_desc_type': 3800, 'type_classification': 'caffe_faster_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
To loadFromThcl()
model_param file didn't exist 
model_name : learn_piece_voiture_0808_v2
model_type : caffe_faster_rcnn
list file need :
['caffemodel', 'test.prototxt']
file exist in s3 :
['caffemodel', 'test.prototxt']
file manque in s3 : 
[]
local folder  : /data/models_weight/learn_piece_voiture_0808_v2


/data/models_weight/learn_piece_voiture_0808_v2/caffemodel
size_local : 350215080 size in s3 : 350215080
create time local : 2021-08-09 05:30:22 create time in s3 : 2021-08-06 19:24:16
caffemodel already exist and didn't need to update


/data/models_weight/learn_piece_voiture_0808_v2/test.prototxt
size_local : 7166 size in s3 : 7166
create time local : 2021-08-09 05:30:22 create time in s3 : 2021-08-06 19:24:16
test.prototxt already exist and didn't need to update
 prototxt : /data/models_weight/learn_piece_voiture_0808_v2/test.prototxt
 caffemodel : /data/models_weight/learn_piece_voiture_0808_v2/caffemodel


Loaded network /data/models_weight/learn_piece_voiture_0808_v2/caffemodel
About to compute detect_faster_rcnn : len(args) : 6
Inside frcnn step exec : nb paths : 6
image_path : temp/1738464143_2241491_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg
image_size (294, 285, 3)
[[[ 29  29  29]
  [ 29  29  29]
  [ 30  30  30]
  ...
  [182 172 165]
  [141 131 124]
  [103  94  90]]

 [[ 29  29  29]
  [ 29  29  29]
  [ 31  31  31]
  ...
  [231 220 212]
  [202 193 184]
  [164 154 147]]

 [[ 30  30  30]
  [ 27  27  27]
  [ 26  26  26]
  ...
  [223 211 199]
  [229 219 209]
  [228 217 209]]

 ...

 [[ 22  27  25]
  [ 16  21  19]
  [ 11  16  14]
  ...
  [166 145 123]
  [168 147 125]
  [170 149 127]]

 [[ 20  25  23]
  [ 17  22  20]
  [ 15  20  18]
  ...
  [163 142 120]
  [165 144 122]
  [166 145 123]]

 [[ 13  18  16]
  [ 17  22  20]
  [ 20  25  23]
  ...
  [162 141 119]
  [163 142 120]
  [163 142 121]]]
Detection took 0.133s for 300 object proposals
 c : aile-arriere
 list_crops.shape (29, 5)
 proba :  0.052092165
(104.29519, 64.909355, 245.02066, 262.59573)
 proba :  0.011472644
(156.04758, 154.27802, 276.97623, 234.7785)
 proba :  0.01004719
(133.88351, 191.03125, 199.7973, 262.34735)
 c : aile-avant
 list_crops.shape (30, 5)
 proba :  0.16405131
(93.40099, 110.00594, 261.18042, 244.45615)
 proba :  0.011734918
(153.08606, 215.96179, 224.00214, 288.55347)
 c : autre
 list_crops.shape (31, 5)
 c : cache-reservoir
 list_crops.shape (30, 5)
 proba :  0.016789865
(12.160656, 54.527798, 94.044785, 89.2352)
 c : capot
 list_crops.shape (24, 5)
 proba :  0.10148149
(69.29395, 0.0, 280.00778, 54.912865)
 proba :  0.084583625
(113.75724, 84.13729, 262.94342, 231.1914)
 proba :  0.04066448
(6.740135, 36.86313, 96.11229, 92.565765)
 c : carrosserie-autre
 list_crops.shape (27, 5)
 c : coffre
 list_crops.shape (23, 5)
 proba :  0.04765193
(53.50464, 0.0, 284.0, 92.37529)
 proba :  0.03265611
(10.159302, 31.720364, 95.70197, 100.611404)
 proba :  0.012153475
(235.39197, 155.04333, 284.0, 216.0061)
 c : essuie-glace
 list_crops.shape (31, 5)
 proba :  0.8093944
(149.0359, 63.96338, 284.0, 87.6149)
 proba :  0.034228522
(13.639027, 56.071175, 92.06888, 89.41654)
 proba :  0.020680381
(234.30151, 175.76257, 284.0, 231.15253)
 c : feu-antibrouillard
 list_crops.shape (33, 5)
 proba :  0.055684723
(27.495869, 50.04158, 86.94684, 89.45746)
 proba :  0.018111814
(229.45836, 178.3153, 279.9425, 220.47519)
 proba :  0.010318791
(206.26169, 260.4641, 253.11697, 293.0)
 c : feu-arriere
 list_crops.shape (34, 5)
 proba :  0.06828913
(27.726597, 49.239815, 86.894455, 88.09249)
 proba :  0.023999931
(231.78674, 177.13542, 279.964, 219.17351)
 c : info-modele
 list_crops.shape (34, 5)
 proba :  0.015899768
(27.18018, 48.778137, 87.64058, 89.72122)
 c : logo-marque
 list_crops.shape (32, 5)
 proba :  0.010619536
(206.26935, 219.3945, 262.95102, 293.0)
 c : logo-roue
 list_crops.shape (30, 5)
 c : pare-brise
 list_crops.shape (24, 5)
 proba :  0.38036618
(84.4512, 0.0, 284.0, 80.630196)
 proba :  0.0698274
(21.85476, 45.92961, 86.83101, 90.58307)
 proba :  0.010921432
(162.29022, 212.50914, 227.27884, 293.0)
 proba :  0.010167834
(238.71635, 156.7787, 284.0, 216.5876)
 c : pare-choc
 list_crops.shape (20, 5)
 proba :  0.15657811
(75.03545, 12.040745, 284.0, 83.47012)
 proba :  0.039188236
(173.6275, 206.89488, 284.0, 287.13123)
 proba :  0.029327786
(3.5344543, 39.445724, 99.708664, 103.58836)
 proba :  0.021778386
(236.45767, 158.82797, 284.0, 219.9389)
 c : phare
 list_crops.shape (33, 5)
 proba :  0.2955281
(16.084354, 55.130886, 94.492294, 87.00034)
 proba :  0.017163746
(85.86305, 17.95773, 272.26617, 68.44006)
 proba :  0.013773164
(241.5795, 159.23898, 284.0, 213.7453)
 proba :  0.011598052
(207.10956, 255.55386, 262.25897, 293.0)
 c : plaque-immatriculation
 list_crops.shape (38, 5)
 proba :  0.13106064
(235.81969, 174.3241, 284.0, 225.22202)
 proba :  0.039651707
(30.734816, 49.49239, 81.5581, 87.70621)
 c : poignee
 list_crops.shape (27, 5)
 c : porte
 list_crops.shape (24, 5)
 proba :  0.5999826
(23.914516, 0.0, 103.216644, 219.55057)
 proba :  0.028166754
(2.5909615, 0.0, 48.601036, 196.39099)
 proba :  0.012107269
(103.53694, 0.09883118, 235.17473, 252.15916)
 c : pot-echappement
 list_crops.shape (30, 5)
 proba :  0.021321632
(228.94302, 176.45721, 280.02338, 221.2612)
 proba :  0.013257732
(208.91722, 255.16376, 263.81287, 293.0)
 proba :  0.0132403085
(26.966465, 48.15644, 87.178085, 89.94625)
 c : radiateur
 list_crops.shape (30, 5)
 c : retroviseur
 list_crops.shape (32, 5)
 proba :  0.03768442
(14.67997, 54.76532, 94.672646, 89.588104)
 proba :  0.012230368
(210.4575, 255.86667, 263.1121, 293.0)
 proba :  0.010144017
(231.1912, 176.60883, 279.5766, 220.065)
 c : roue
 list_crops.shape (34, 5)
 proba :  0.81211346
(146.7963, 218.47552, 218.13315, 292.0249)
 proba :  0.2795798
(135.7701, 224.52002, 169.6158, 293.0)
 proba :  0.044854745
(29.876133, 37.66456, 91.51776, 83.93989)
 proba :  0.025319485
(7.384121, 0.09265137, 44.25522, 34.973927)
 proba :  0.018802237
(234.26122, 172.02875, 277.36142, 219.31305)
 proba :  0.011281729
(206.81747, 251.68779, 258.87167, 293.0)
 c : toit
 list_crops.shape (29, 5)
 c : vitre
 list_crops.shape (32, 5)
 proba :  0.1483293
(152.6723, 220.61018, 208.97333, 293.0)
 proba :  0.03473426
(235.4889, 173.76529, 284.0, 228.08255)
 proba :  0.030428434
(138.02542, 226.15125, 164.98502, 293.0)
 proba :  0.018850602
(18.037289, 51.71577, 93.8602, 87.63794)
We are managing local photo_id
image_path : temp/1738464143_2241491_950003813_e28be02dfcce79cce594a390a9911a0a.jpg
image_size (254, 229, 3)
[[[202 190 186]
  [205 193 189]
  [205 194 190]
  ...
  [ 81  70  56]
  [ 80  69  55]
  [ 78  67  53]]

 [[198 187 183]
  [200 189 185]
  [198 189 185]
  ...
  [ 50  41  28]
  [ 44  36  23]
  [ 45  36  23]]

 [[192 187 184]
  [191 186 183]
  [191 186 183]
  ...
  [ 36  30  23]
  [ 32  29  21]
  [ 33  27  20]]

 ...

 [[187 186 190]
  [186 185 189]
  [188 184 189]
  ...
  [ 43  38  35]
  [ 37  33  28]
  [ 33  28  25]]

 [[184 185 189]
  [183 184 188]
  [184 183 187]
  ...
  [ 28  23  22]
  [ 29  24  21]
  [ 33  28  27]]

 [[181 185 186]
  [180 184 185]
  [182 184 185]
  ...
  [ 23  15  16]
  [ 22  14  14]
  [ 24  16  17]]]
Detection took 0.080s for 300 object proposals
 c : aile-arriere
 list_crops.shape (29, 5)
 proba :  0.06770403
(98.06912, 150.88295, 151.94037, 223.72368)
 proba :  0.04091269
(33.35962, 90.1357, 179.12822, 182.83913)
 proba :  0.01699009
(79.35316, 122.7209, 111.49589, 230.36409)
 c : aile-avant
 list_crops.shape (30, 5)
 proba :  0.04859754
(43.738445, 17.115318, 139.34949, 207.21033)
 proba :  0.010096658
(62.042667, 104.145905, 183.72382, 182.30936)
 c : autre
 list_crops.shape (32, 5)
 c : cache-reservoir
 list_crops.shape (33, 5)
 c : capot
 list_crops.shape (22, 5)
 proba :  0.09679944
(38.041733, 75.4212, 207.15244, 166.65869)
 c : carrosserie-autre
 list_crops.shape (24, 5)
 c : coffre
 list_crops.shape (21, 5)
 proba :  0.064425364
(165.47464, 115.3033, 226.40036, 165.4774)
 c : essuie-glace
 list_crops.shape (34, 5)
 proba :  0.38610664
(88.26848, 10.883607, 179.58336, 31.356205)
 proba :  0.04237781
(133.10162, 1.8782644, 227.74243, 26.523651)
 proba :  0.024034837
(169.25446, 117.38399, 218.91656, 165.43388)
 proba :  0.010850788
(61.551758, 1.9377537, 117.8181, 33.003944)
 c : feu-antibrouillard
 list_crops.shape (32, 5)
 proba :  0.01960016
(168.9244, 117.95332, 219.53203, 165.85661)
 c : feu-arriere
 list_crops.shape (30, 5)
 proba :  0.02223837
(171.07318, 119.67659, 221.01065, 164.20052)
 c : info-modele
 list_crops.shape (31, 5)
 proba :  0.010201983
(168.52196, 116.052124, 219.95494, 166.43427)
 c : logo-marque
 list_crops.shape (34, 5)
 proba :  0.0151507035
(154.45755, 207.10847, 180.1254, 244.76994)
 c : logo-roue
 list_crops.shape (30, 5)
 c : pare-brise
 list_crops.shape (27, 5)
 proba :  0.047095973
(168.76775, 117.31327, 222.88866, 165.84227)
 proba :  0.013605341
(53.460155, 0.0, 178.92055, 22.4039)
 proba :  0.012163571
(15.941541, 0.0, 44.89716, 48.29577)
 c : pare-choc
 list_crops.shape (23, 5)
 proba :  0.089836255
(166.06479, 118.15993, 226.88205, 168.71437)
 proba :  0.012226564
(108.19809, 130.85785, 228.0, 249.22672)
 c : phare
 list_crops.shape (37, 5)
 proba :  0.013692352
(172.01431, 118.396484, 223.30923, 162.24023)
 c : plaque-immatriculation
 list_crops.shape (38, 5)
 proba :  0.051214255
(173.59454, 120.67754, 218.52612, 161.78497)
 c : poignee
 list_crops.shape (31, 5)
 c : porte
 list_crops.shape (25, 5)
 proba :  0.03929985
(4.7752113, 0.0, 38.135334, 169.70886)
 proba :  0.014843837
(170.32487, 112.3976, 220.70741, 170.46504)
 proba :  0.013462232
(19.337864, 0.0, 92.45027, 176.20105)
 c : pot-echappement
 list_crops.shape (31, 5)
 proba :  0.021788448
(168.56757, 115.562706, 219.4172, 166.48663)
 proba :  0.016474126
(154.5291, 206.32005, 179.71346, 244.1042)
 c : radiateur
 list_crops.shape (30, 5)
 c : retroviseur
 list_crops.shape (34, 5)
 proba :  0.010122524
(169.53526, 116.208595, 219.60585, 166.28918)
 c : roue
 list_crops.shape (36, 5)
 proba :  0.106375225
(83.71982, 166.04927, 133.416, 253.0)
 proba :  0.050477132
(73.9584, 164.66927, 104.24201, 236.14497)
 proba :  0.032682322
(18.137627, 0.0, 45.997627, 33.785477)
 c : toit
 list_crops.shape (33, 5)
 c : vitre
 list_crops.shape (34, 5)
 proba :  0.028288027
(20.599663, 0.0, 45.49389, 43.05596)
 proba :  0.015351655
(170.87424, 118.45837, 221.03519, 164.4951)
We are managing local photo_id
image_path : temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg
image_size (480, 614, 3)
[[[ 44  44  44]
  [ 49  51  51]
  [ 42  44  44]
  ...
  [  8  10  10]
  [  8  10  10]
  [  8  10  10]]

 [[ 43  43  43]
  [ 36  38  38]
  [ 39  41  41]
  ...
  [  5   7   7]
  [  5   7   7]
  [  5   7   7]]

 [[ 70  70  70]
  [ 40  42  42]
  [ 41  43  43]
  ...
  [  4   6   6]
  [  4   6   6]
  [  4   6   6]]

 ...

 [[103 101 101]
  [110 108 108]
  [ 61  59  59]
  ...
  [  8  10  10]
  [  8  10  10]
  [  8  10  10]]

 [[ 98  96  96]
  [115 113 113]
  [ 73  71  71]
  ...
  [  0   2   2]
  [ 11  13  13]
  [ 21  23  23]]

 [[ 92  90  90]
  [114 112 112]
  [ 87  82  83]
  ...
  [ 10  12  12]
  [ 18  20  20]
  [ 25  27  27]]]
Detection took 0.104s for 300 object proposals
 c : aile-arriere
 list_crops.shape (30, 5)
 proba :  0.13238256
(133.29933, 172.39326, 280.8249, 321.49365)
 proba :  0.013272692
(153.18915, 232.5085, 369.76135, 359.78265)
 c : aile-avant
 list_crops.shape (35, 5)
 proba :  0.95040166
(133.96965, 146.16472, 305.77917, 344.49445)
 proba :  0.020748235
(128.14998, 143.0111, 188.89983, 305.02747)
 proba :  0.0149297975
(294.24524, 331.839, 412.49536, 415.33063)
 proba :  0.011201665
(533.0563, 198.27647, 583.49805, 268.46246)
 c : autre
 list_crops.shape (36, 5)
 c : cache-reservoir
 list_crops.shape (35, 5)
 proba :  0.025674298
(426.69693, 57.903877, 496.63956, 125.29867)
 proba :  0.025273904
(342.52087, 266.6173, 421.34174, 330.5569)
 proba :  0.017259372
(306.41135, 352.42886, 382.60544, 422.00095)
 c : capot
 list_crops.shape (32, 5)
 proba :  0.99047136
(196.73969, 110.37626, 532.5068, 291.96646)
 proba :  0.22534354
(40.234222, 25.9647, 253.13687, 48.717606)
 proba :  0.05845734
(318.88635, 286.6159, 481.5843, 427.8996)
 proba :  0.017971123
(64.44652, 38.41444, 331.30084, 64.363)
 proba :  0.010639304
(116.15136, 36.75131, 368.63437, 155.92278)
 c : carrosserie-autre
 list_crops.shape (29, 5)
 proba :  0.030295543
(429.34592, 22.045956, 497.8206, 122.46944)
 c : coffre
 list_crops.shape (29, 5)
 proba :  0.12301049
(421.33932, 15.500481, 501.77548, 119.21378)
 proba :  0.10121802
(112.746994, 46.268196, 395.27026, 193.28088)
 proba :  0.06282883
(247.7829, 171.98026, 517.5131, 335.85626)
 c : essuie-glace
 list_crops.shape (37, 5)
 proba :  0.7717596
(178.35062, 109.06838, 389.55112, 147.69495)
 proba :  0.14846538
(343.27966, 268.29285, 419.4596, 332.34576)
 proba :  0.10079297
(364.45477, 261.52045, 501.23224, 317.86383)
 proba :  0.04796938
(446.5811, 21.592793, 508.33133, 88.69797)
 proba :  0.037816703
(328.75983, 360.4619, 389.85602, 423.33417)
 proba :  0.014706816
(85.681786, 24.0181, 308.14984, 43.35101)
 proba :  0.013853712
(267.0363, 240.33743, 412.96127, 348.48703)
 proba :  0.01284903
(427.07214, 58.12267, 496.37292, 124.38898)
 c : feu-antibrouillard
 list_crops.shape (37, 5)
 proba :  0.21098612
(307.28012, 354.31265, 381.7952, 421.60983)
 proba :  0.056841794
(342.8651, 269.36734, 420.85895, 329.44345)
 proba :  0.02812256
(427.12027, 58.784157, 496.16977, 124.537315)
 proba :  0.023514401
(362.92966, 264.44675, 504.08987, 316.84036)
 c : feu-arriere
 list_crops.shape (34, 5)
 proba :  0.09634793
(303.1496, 259.64328, 431.28912, 316.44656)
 proba :  0.041349843
(428.95123, 25.601055, 497.49042, 104.47551)
 proba :  0.03447131
(305.47443, 351.5582, 379.511, 423.9398)
 c : info-modele
 list_crops.shape (36, 5)
 proba :  0.04286566
(306.73898, 353.51355, 383.17532, 421.56006)
 proba :  0.035215173
(426.5203, 57.919857, 497.46036, 125.59912)
 proba :  0.033362526
(342.95993, 267.56174, 422.67728, 330.89755)
 proba :  0.016011763
(363.5862, 261.2636, 507.57108, 317.39307)
 proba :  0.010816417
(445.89975, 19.328041, 507.99765, 91.46203)
 c : logo-marque
 list_crops.shape (36, 5)
 proba :  0.105436064
(327.43314, 361.32733, 387.9542, 423.03387)
 proba :  0.028343925
(344.96356, 265.39374, 421.62616, 329.04803)
 proba :  0.025365967
(370.86078, 261.3393, 500.61523, 316.38684)
 proba :  0.017482523
(427.5982, 57.613457, 496.8103, 125.70988)
 c : logo-roue
 list_crops.shape (34, 5)
 proba :  0.014208179
(327.66223, 360.72025, 388.79993, 424.0403)
 c : pare-brise
 list_crops.shape (30, 5)
 proba :  0.9546357
(113.61334, 42.32641, 417.92468, 147.55612)
 proba :  0.107017376
(294.67984, 24.327736, 399.70633, 129.18219)
 proba :  0.054090615
(258.479, 161.26308, 521.58795, 295.0548)
 proba :  0.02764584
(424.62698, 20.847149, 499.57364, 97.217514)
 proba :  0.01761475
(72.587746, 41.72719, 127.253685, 168.79482)
 c : pare-choc
 list_crops.shape (25, 5)
 proba :  0.9485657
(247.47159, 265.46893, 552.9313, 445.2774)
 proba :  0.09523343
(194.32147, 225.2251, 348.4355, 419.2273)
 proba :  0.019608526
(422.44827, 329.60934, 549.53406, 424.81552)
 proba :  0.014916809
(455.53607, 26.130455, 592.80914, 120.20524)
 c : phare
 list_crops.shape (35, 5)
 proba :  0.67816705
(318.13953, 264.6473, 489.9178, 310.62503)
 proba :  0.403245
(261.6407, 234.11752, 408.51465, 331.02487)
 proba :  0.09589812
(301.10477, 356.416, 385.4977, 425.23404)
 proba :  0.014658975
(525.6662, 198.5451, 575.21844, 289.95245)
 proba :  0.013328293
(427.99612, 23.315922, 501.306, 100.636826)
 proba :  0.0114957
(277.73566, 207.81812, 557.2659, 296.85757)
 c : plaque-immatriculation
 list_crops.shape (36, 5)
 proba :  0.19054234
(491.39832, 294.2259, 563.82385, 390.17847)
 proba :  0.05777532
(439.5135, 291.40833, 531.04926, 407.16663)
 proba :  0.022953402
(298.9806, 257.41553, 447.53534, 319.1725)
 proba :  0.011341006
(309.84085, 356.2057, 386.15622, 421.93396)
 c : poignee
 list_crops.shape (34, 5)
 proba :  0.02567078
(327.50845, 360.97156, 388.47098, 424.01837)
 proba :  0.024168124
(342.3138, 266.89175, 422.49203, 331.5294)
 proba :  0.021998445
(426.4228, 57.720314, 497.09967, 125.78289)
 proba :  0.013408916
(559.0099, 0.020679474, 613.0, 71.28816)
 c : porte
 list_crops.shape (27, 5)
 proba :  0.99229676
(51.415527, 40.436157, 152.79427, 306.3895)
 proba :  0.97203696
(4.567852, 51.348503, 72.874695, 242.47308)
 proba :  0.058644343
(425.32364, 19.056477, 501.1254, 130.87595)
 proba :  0.030517505
(132.09203, 46.460785, 397.1646, 213.57681)
 proba :  0.0145412935
(360.30176, 244.28152, 551.61053, 395.62125)
 c : pot-echappement
 list_crops.shape (36, 5)
 proba :  0.050583027
(328.16968, 360.69693, 387.76794, 423.72983)
 proba :  0.020138944
(427.15417, 57.43056, 496.31403, 125.827896)
 c : radiateur
 list_crops.shape (35, 5)
 c : retroviseur
 list_crops.shape (35, 5)
 proba :  0.43189782
(427.40564, 56.742645, 495.96527, 123.65401)
 proba :  0.18576372
(344.11026, 266.8166, 421.86166, 331.8711)
 proba :  0.1167765
(446.86557, 19.439262, 506.46548, 90.950294)
 proba :  0.04803046
(316.7071, 363.19217, 377.63947, 430.7919)
 proba :  0.027538322
(150.80452, 116.120224, 381.59558, 150.22047)
 proba :  0.012778562
(366.31366, 260.31396, 504.92578, 318.49078)
 proba :  0.011187985
(77.32612, 81.64899, 130.17612, 174.4776)
 c : roue
 list_crops.shape (37, 5)
 proba :  0.93756473
(166.73457, 261.1274, 275.2202, 420.81308)
 proba :  0.14078416
(307.79688, 351.3563, 385.35052, 430.9636)
 proba :  0.114045896
(4.55842, 161.2646, 50.80799, 253.07774)
 proba :  0.045017373
(513.9555, 252.55634, 573.9218, 393.482)
 proba :  0.03710659
(526.6654, 191.77583, 581.6018, 303.90802)
 c : toit
 list_crops.shape (33, 5)
 proba :  0.7964157
(58.20874, 31.456291, 316.01086, 55.602234)
 c : vitre
 list_crops.shape (33, 5)
 proba :  0.98037696
(69.39079, 49.336567, 135.83194, 142.42264)
 proba :  0.89379174
(14.66824, 41.21957, 66.17471, 115.17441)
 proba :  0.11752611
(205.48932, 48.10236, 379.2727, 127.90561)
 proba :  0.04379144
(428.13068, 21.880363, 499.2165, 97.14384)
 proba :  0.01762331
(308.7076, 352.4769, 385.68643, 423.24826)
 proba :  0.012130378
(338.94846, 258.53867, 419.8834, 323.74026)
We are managing local photo_id
image_path : temp/1738464143_2241491_950003696_11e3a77b72af4b332d366d98984039c7.jpg
image_size (2160, 3264, 3)
[[[168 165 161]
  [168 165 161]
  [168 165 161]
  ...
  [ 47  59  63]
  [ 48  60  64]
  [ 48  60  64]]

 [[168 165 161]
  [168 165 161]
  [168 165 161]
  ...
  [ 47  59  63]
  [ 47  59  63]
  [ 48  60  64]]

 [[168 165 161]
  [168 165 161]
  [168 165 161]
  ...
  [ 47  59  63]
  [ 47  59  63]
  [ 47  59  63]]

 ...

 [[167 164 160]
  [167 164 160]
  [167 164 160]
  ...
  [ 44  59  61]
  [ 44  59  61]
  [ 44  59  61]]

 [[165 162 158]
  [165 162 158]
  [165 162 158]
  ...
  [ 45  60  62]
  [ 45  60  62]
  [ 45  60  62]]

 [[164 161 157]
  [164 161 157]
  [164 161 157]
  ...
  [ 45  60  62]
  [ 45  60  62]
  [ 45  60  62]]]
Detection took 2.491s for 300 object proposals
 c : aile-arriere
 list_crops.shape (52, 5)
 proba :  0.020721406
(396.22745, 192.55814, 703.23804, 482.50967)
 proba :  0.013662734
(2606.4836, 1489.7091, 2954.3875, 2131.375)
 proba :  0.010280809
(2270.1743, 1651.4304, 2706.396, 2138.8564)
 proba :  0.0100198705
(2922.7441, 683.25464, 3263.0, 1188.915)
 c : aile-avant
 list_crops.shape (55, 5)
 proba :  0.025829742
(2616.206, 1475.3274, 2938.8306, 2144.0168)
 c : autre
 list_crops.shape (53, 5)
 proba :  0.013096836
(405.69373, 192.21988, 689.0917, 476.50626)
 c : cache-reservoir
 list_crops.shape (50, 5)
 proba :  0.029475465
(2629.4763, 1460.9869, 2954.7073, 2148.8315)
 proba :  0.024541812
(299.21353, 89.51242, 716.66113, 498.37277)
 proba :  0.020121504
(2232.0476, 676.7893, 2590.508, 1171.212)
 proba :  0.01879195
(2298.389, 1682.7987, 2783.6653, 2156.6436)
 proba :  0.012398036
(2317.1357, 1436.0559, 2614.4795, 1924.9602)
 proba :  0.0121343145
(2925.1584, 677.29443, 3258.8938, 1209.0612)
 c : capot
 list_crops.shape (44, 5)
 proba :  0.018008832
(2645.9897, 973.04913, 3214.7275, 1642.1191)
 proba :  0.016425047
(77.73419, 795.9539, 694.01996, 1481.1172)
 c : carrosserie-autre
 list_crops.shape (45, 5)
 proba :  0.029312633
(251.70193, 0.0, 712.3456, 634.99744)
 proba :  0.013689681
(2284.699, 1569.4888, 2687.3757, 2159.0)
 c : coffre
 list_crops.shape (42, 5)
 proba :  0.13923077
(283.03485, 0.0, 631.68463, 633.38855)
 proba :  0.013915257
(1720.5813, 507.7787, 2227.837, 1191.3317)
 c : essuie-glace
 list_crops.shape (56, 5)
 proba :  0.018926643
(320.88962, 110.22475, 601.01697, 462.48328)
 proba :  0.0138123715
(2187.615, 749.4855, 2497.32, 1214.4475)
 proba :  0.013555361
(2629.3315, 1462.9, 2950.857, 2139.6313)
 proba :  0.013346282
(74.38675, 721.1809, 391.72226, 1112.9248)
 c : feu-antibrouillard
 list_crops.shape (52, 5)
 proba :  0.06085933
(372.09863, 242.48941, 759.4336, 515.92334)
 proba :  0.018307189
(2928.39, 694.3017, 3257.6501, 1206.6697)
 proba :  0.018102925
(2299.5417, 1693.8561, 2784.1301, 2158.693)
 proba :  0.01585892
(2230.3647, 698.5727, 2591.163, 1175.3018)
 proba :  0.014353937
(2630.751, 1480.9592, 2954.4648, 2151.7358)
 proba :  0.011737673
(383.55762, 1437.1195, 937.136, 1845.1285)
 c : feu-arriere
 list_crops.shape (48, 5)
 proba :  0.6466874
(354.84875, 213.38043, 730.162, 532.0535)
 proba :  0.12033093
(2225.6582, 661.2268, 2605.2104, 1235.9053)
 proba :  0.079394415
(256.18597, 24.23851, 540.26135, 478.0879)
 proba :  0.060698282
(1807.3984, 656.72284, 2155.874, 1147.315)
 proba :  0.033563867
(2308.1875, 1667.5724, 2786.7524, 2159.0)
 proba :  0.03225962
(2930.4534, 638.0758, 3237.764, 1243.2148)
 proba :  0.018521015
(619.9123, 619.23193, 953.73676, 1223.568)
 proba :  0.017302265
(2630.6858, 1496.892, 2955.3704, 2159.0)
 proba :  0.01665568
(2317.238, 1411.0969, 2618.262, 1961.7046)
 proba :  0.015819924
(770.6173, 939.7303, 1053.5746, 1456.1523)
 proba :  0.01059461
(2489.4353, 424.46182, 2939.2004, 1234.4692)
 proba :  0.010269577
(828.0634, 1.9182281, 1174.9685, 369.8883)
 proba :  0.010092364
(14.197044, 430.89117, 165.1058, 734.03265)
 c : info-modele
 list_crops.shape (49, 5)
 proba :  0.070102036
(403.72797, 194.21458, 693.0535, 475.90497)
 proba :  0.022202194
(2299.2544, 1684.2495, 2787.12, 2154.6658)
 proba :  0.019057844
(2232.6064, 682.5673, 2592.731, 1170.8391)
 proba :  0.017017614
(2630.584, 1468.1862, 2959.7124, 2151.331)
 proba :  0.010882187
(1.7524109, 575.7845, 261.9004, 885.70966)
 c : logo-marque
 list_crops.shape (51, 5)
 proba :  0.051886927
(408.49487, 200.25722, 688.2737, 481.5584)
 proba :  0.034066796
(2304.7827, 1690.4354, 2793.8882, 2159.0)
 proba :  0.01823218
(2631.4746, 1489.2197, 2967.9863, 2159.0)
 proba :  0.013039512
(2236.6863, 683.9272, 2594.5872, 1180.4911)
 proba :  0.011356963
(2319.9636, 1440.4093, 2621.3835, 1933.8402)
 c : logo-roue
 list_crops.shape (52, 5)
 proba :  0.030219557
(402.7804, 191.06717, 692.7549, 478.2668)
 proba :  0.020903252
(2230.929, 677.77985, 2592.7126, 1174.0032)
 proba :  0.018416507
(2512.766, 492.65518, 2833.5684, 843.97034)
 proba :  0.01806687
(2298.685, 1681.3478, 2786.0894, 2156.125)
 proba :  0.01354888
(2610.3835, 558.7997, 3007.5525, 1178.0198)
 proba :  0.013278735
(1762.7975, 675.0922, 2234.706, 1109.9419)
 proba :  0.012409925
(2317.8042, 1434.3552, 2615.2607, 1928.4287)
 proba :  0.011195411
(2783.5806, 1527.3927, 3036.1255, 2077.7375)
 c : pare-brise
 list_crops.shape (46, 5)
 proba :  0.054984603
(2411.5889, 398.66653, 2957.3613, 1171.5747)
 proba :  0.04502211
(2240.347, 634.9441, 2579.256, 1217.4238)
 proba :  0.026938988
(1424.9023, 304.92917, 2074.7844, 1161.5858)
 proba :  0.025700655
(312.55154, 97.231384, 605.9397, 472.60242)
 proba :  0.02420015
(2954.812, 604.7401, 3255.3604, 1264.5094)
 proba :  0.021967301
(2056.8342, 93.68497, 2392.5198, 713.7079)
 proba :  0.020820672
(323.81384, 1090.707, 787.15674, 1678.9482)
 proba :  0.018576076
(103.614105, 794.41345, 696.2135, 1524.2845)
 proba :  0.017094957
(2701.9211, 949.36163, 3158.2727, 1362.8044)
 proba :  0.011481898
(2240.8958, 3.3183289, 2720.2375, 772.5769)
 proba :  0.010910142
(1694.811, 659.70715, 2162.8655, 1116.5966)
 c : pare-choc
 list_crops.shape (38, 5)
 proba :  0.10619387
(347.37946, 1367.428, 1073.019, 1857.0503)
 proba :  0.016682297
(1310.4031, 1570.4448, 2576.6174, 2051.2651)
 proba :  0.010984097
(0.0, 545.126, 997.95013, 1254.1473)
 proba :  0.010150977
(2850.2603, 1465.3944, 3233.623, 2099.7527)
 c : phare
 list_crops.shape (49, 5)
 proba :  0.0694501
(2930.7021, 682.53577, 3257.665, 1220.2664)
 proba :  0.06411077
(310.48767, 118.324036, 715.9458, 508.5415)
 proba :  0.028802317
(324.5681, 1179.3457, 758.8054, 1634.1951)
 proba :  0.013005417
(2226.5718, 695.2677, 2603.4272, 1195.8088)
 proba :  0.011206562
(83.401535, 743.9686, 419.84198, 1117.4509)
 proba :  0.010498592
(2318.0784, 1449.4468, 2631.6775, 1922.1409)
 c : plaque-immatriculation
 list_crops.shape (56, 5)
 proba :  0.057377633
(399.62616, 207.9606, 679.6091, 493.955)
 proba :  0.04576534
(1744.0853, 665.8657, 2221.1514, 1071.6423)
 proba :  0.023890262
(2294.9868, 1697.7551, 2792.188, 2132.5867)
 proba :  0.023444662
(2538.82, 1521.6144, 2898.8225, 2073.3323)
 proba :  0.013999063
(2783.455, 1564.8639, 3034.897, 2056.797)
 proba :  0.013543794
(2245.3303, 695.2896, 2573.1555, 1168.4348)
 proba :  0.0113015445
(2945.9531, 676.8856, 3251.0166, 1190.988)
 c : poignee
 list_crops.shape (48, 5)
 proba :  0.057058923
(2629.5115, 1457.5746, 2958.7585, 2152.9497)
 proba :  0.023779593
(2299.089, 1682.4279, 2785.6125, 2157.3923)
 proba :  0.018133452
(2232.1677, 677.87946, 2592.089, 1173.588)
 proba :  0.014422491
(403.02325, 191.0297, 692.26764, 478.38315)
 c : porte
 list_crops.shape (43, 5)
 proba :  0.12679061
(2295.5764, 1531.3826, 2685.673, 2159.0)
 proba :  0.04497411
(2857.518, 1450.7491, 3263.0, 2033.006)
 proba :  0.041255932
(2466.1467, 1663.9385, 3030.1965, 2159.0)
 proba :  0.028291866
(390.16415, 1195.209, 897.947, 1796.6543)
 proba :  0.023554038
(1444.4915, 1494.094, 2537.759, 2103.8452)
 proba :  0.017249903
(311.3335, 15.937256, 609.7373, 659.72217)
 proba :  0.012646695
(2938.5898, 622.96985, 3247.8057, 1300.5002)
 c : pot-echappement
 list_crops.shape (49, 5)
 proba :  0.033068273
(2632.8528, 1456.5892, 2954.7825, 2152.6704)
 proba :  0.03092998
(2302.4875, 1680.4249, 2781.5774, 2157.684)
 proba :  0.015973905
(405.3089, 189.98384, 691.1445, 477.74927)
 proba :  0.011732212
(67.23744, 695.8101, 394.57867, 1122.8857)
 proba :  0.011399415
(1748.3463, 537.06213, 2217.0046, 1143.0328)
 proba :  0.011029368
(2926.5542, 674.963, 3258.561, 1211.8878)
 c : radiateur
 list_crops.shape (50, 5)
 c : retroviseur
 list_crops.shape (52, 5)
 proba :  0.08367092
(2235.2026, 682.1401, 2591.1982, 1175.4072)
 proba :  0.059480615
(2321.9436, 1443.8894, 2613.5652, 1922.5847)
 proba :  0.043863542
(2937.0845, 682.2661, 3252.6147, 1205.0542)
 proba :  0.042284947
(2632.652, 1459.0892, 2953.66, 2146.2961)
 proba :  0.03409648
(71.96135, 699.8201, 393.30164, 1120.4877)
 proba :  0.031883486
(308.77997, 91.360016, 716.1596, 497.18765)
 proba :  0.025062103
(2306.499, 1681.2068, 2777.2568, 2150.3694)
 proba :  0.019791981
(2394.7356, 1122.3662, 2636.1575, 1534.4539)
 proba :  0.018273078
(2293.5085, 971.5094, 2576.6116, 1378.5397)
 proba :  0.016423685
(2956.3577, 1594.2212, 3251.5364, 2041.8667)
 proba :  0.015729476
(10.9030075, 573.5231, 252.9588, 882.5062)
 proba :  0.015473108
(2711.0356, 884.68646, 3001.4556, 1337.0979)
 proba :  0.014101154
(2619.5115, 564.03284, 2997.3894, 1174.5039)
 proba :  0.013076362
(162.06863, 998.61255, 907.7883, 1740.6985)
 proba :  0.012830276
(2117.2593, 1467.108, 2431.498, 2134.7534)
 proba :  0.01218025
(2070.6472, 153.16754, 2426.6287, 695.5588)
 c : roue
 list_crops.shape (48, 5)
 proba :  0.08209631
(2921.2935, 638.364, 3254.5288, 1258.7172)
 proba :  0.058012452
(2507.574, 1514.0137, 2926.1946, 2083.4282)
 proba :  0.057319496
(2746.1392, 1692.6113, 3205.8564, 2127.3516)
 proba :  0.03822754
(2267.4526, 1589.349, 2719.9458, 2144.4543)
 proba :  0.029193306
(2521.59, 448.8183, 3069.194, 1139.6577)
 proba :  0.02640586
(416.58704, 1400.4644, 896.4586, 1839.0696)
 proba :  0.022057515
(258.3678, 30.395752, 777.48315, 579.23236)
 proba :  0.018165216
(269.5064, 1082.4215, 809.20123, 1696.9293)
 proba :  0.016243545
(814.9461, 0.0, 1180.1445, 343.57736)
 proba :  0.014414381
(1708.7634, 636.12067, 2206.2246, 1093.4165)
 proba :  0.011408402
(2210.2727, 646.7723, 2617.3274, 1202.6697)
 c : toit
 list_crops.shape (51, 5)
 c : vitre
 list_crops.shape (47, 5)
 proba :  0.17967051
(2201.5295, 706.08093, 2505.8005, 1225.6073)
 proba :  0.13706872
(2332.1965, 1420.2544, 2614.7678, 1932.4702)
 proba :  0.0920707
(2941.3372, 639.25946, 3238.243, 1233.3301)
 proba :  0.047085732
(321.50418, 101.22154, 604.4686, 480.10248)
 proba :  0.041149177
(2545.2432, 540.1196, 2972.1348, 1045.768)
 proba :  0.03957188
(2362.6462, 1470.2218, 2901.4207, 2152.2358)
 proba :  0.03048086
(2784.09, 1531.0527, 3025.3777, 2079.1047)
 proba :  0.017644176
(1748.7046, 547.4627, 2193.0286, 1162.6082)
 proba :  0.015794436
(2879.643, 1427.3805, 3199.1846, 2141.8376)
 proba :  0.010814046
(2403.9075, 706.2661, 2720.5164, 1277.5879)
 proba :  0.010706726
(2683.1296, 868.8102, 2997.2039, 1348.848)
We are managing local photo_id
image_path : temp/1738464143_2241491_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg
image_size (2160, 3840, 3)
[[[111 118  91]
  [113 120  93]
  [115 120  93]
  ...
  [ 23  40  37]
  [ 23  40  37]
  [ 24  41  38]]

 [[111 118  91]
  [112 119  92]
  [115 120  93]
  ...
  [ 23  40  37]
  [ 23  40  37]
  [ 23  40  37]]

 [[113 118  91]
  [114 119  92]
  [115 120  93]
  ...
  [ 22  39  36]
  [ 23  40  37]
  [ 23  40  37]]

 ...

 [[120 125  94]
  [119 124  93]
  [118 123  92]
  ...
  [ 22  36  34]
  [ 22  36  34]
  [ 23  37  35]]

 [[119 124  93]
  [119 124  93]
  [118 123  92]
  ...
  [ 22  36  34]
  [ 22  36  34]
  [ 22  36  34]]

 [[118 123  91]
  [117 122  90]
  [117 122  91]
  ...
  [ 22  36  34]
  [ 22  36  34]
  [ 22  36  34]]]
Detection took 2.500s for 300 object proposals
 c : aile-arriere
 list_crops.shape (45, 5)
 proba :  0.016385578
(3266.7034, 1031.898, 3839.0, 1714.3157)
 proba :  0.016076734
(16.382935, 491.10028, 406.77014, 799.8487)
 proba :  0.012598575
(1997.6543, 259.48306, 2506.4365, 848.9403)
 proba :  0.011018344
(51.379303, 1690.1523, 479.91818, 1966.6587)
 c : aile-avant
 list_crops.shape (41, 5)
 c : autre
 list_crops.shape (46, 5)
 c : cache-reservoir
 list_crops.shape (46, 5)
 c : capot
 list_crops.shape (38, 5)
 c : carrosserie-autre
 list_crops.shape (44, 5)
 c : coffre
 list_crops.shape (31, 5)
 c : essuie-glace
 list_crops.shape (49, 5)
 c : feu-antibrouillard
 list_crops.shape (44, 5)
 proba :  0.014232258
(3282.574, 1219.7789, 3793.548, 1821.4847)
 proba :  0.012606138
(27.950073, 498.89923, 410.0079, 789.6397)
 c : feu-arriere
 list_crops.shape (44, 5)
 proba :  0.07466609
(7.597, 454.29498, 376.21826, 791.58527)
 proba :  0.02520497
(3284.6768, 1151.9622, 3782.7163, 1834.2461)
 proba :  0.011053059
(17.661972, 1586.7396, 282.01593, 1995.7667)
 c : info-modele
 list_crops.shape (44, 5)
 proba :  0.01871568
(35.90065, 482.7194, 414.19537, 791.46704)
 c : logo-marque
 list_crops.shape (46, 5)
 proba :  0.017158758
(41.253754, 486.37634, 409.73483, 792.71924)
 c : logo-roue
 list_crops.shape (45, 5)
 c : pare-brise
 list_crops.shape (38, 5)
 proba :  0.016600687
(24.734283, 0.0, 388.85324, 684.5043)
 c : pare-choc
 list_crops.shape (35, 5)
 c : phare
 list_crops.shape (48, 5)
 c : plaque-immatriculation
 list_crops.shape (47, 5)
 proba :  0.025556648
(26.289612, 479.6554, 404.9161, 771.0742)
 proba :  0.016567484
(28.257355, 1620.785, 299.37903, 1974.6156)
 proba :  0.014695485
(18.400131, 3.581993, 386.7271, 255.02402)
 c : poignee
 list_crops.shape (43, 5)
 c : porte
 list_crops.shape (40, 5)
 proba :  0.11930372
(1872.7661, 10.220917, 2442.9517, 862.2306)
 proba :  0.11465226
(2136.5076, 52.94565, 2855.9924, 815.28235)
 proba :  0.024784915
(3234.8296, 69.62311, 3823.1162, 847.86444)
 proba :  0.013810742
(109.55606, 1835.4761, 459.8458, 2159.0)
 proba :  0.011383587
(1348.9603, 1049.3324, 1927.9545, 1776.9948)
 proba :  0.011382881
(3315.015, 1115.6145, 3779.0168, 1883.894)
 proba :  0.010759708
(2525.7134, 168.76007, 3531.503, 924.1386)
 c : pot-echappement
 list_crops.shape (43, 5)
 proba :  0.033428848
(5.113785, 1746.7019, 343.4431, 2019.2832)
 proba :  0.010658841
(117.19235, 1862.9595, 459.03732, 2155.1729)
 c : radiateur
 list_crops.shape (43, 5)
 c : retroviseur
 list_crops.shape (47, 5)
 proba :  0.018036613
(3296.5896, 1200.0049, 3788.0007, 1822.6367)
 proba :  0.013668347
(13.038254, 1748.9587, 340.383, 2015.7666)
 proba :  0.012990229
(124.441086, 1867.7427, 456.32153, 2150.5205)
 c : roue
 list_crops.shape (45, 5)
 proba :  0.5840218
(3132.7686, 1107.5492, 3839.0, 1925.3466)
 proba :  0.045878537
(3481.3225, 1409.9032, 3814.3044, 1997.3615)
 proba :  0.037306108
(38.597763, 1751.9548, 339.53217, 2013.6758)
 proba :  0.02918033
(3244.3713, 40.529633, 3721.5974, 739.18665)
 proba :  0.018186273
(3167.061, 383.71115, 3484.252, 1016.3616)
 proba :  0.012426722
(229.0671, 0.0, 685.7868, 557.62805)
 proba :  0.0103627825
(2689.2231, 224.93164, 3238.8071, 934.282)
 c : toit
 list_crops.shape (48, 5)
 c : vitre
 list_crops.shape (44, 5)
 proba :  0.018342307
(23.036179, 0.0, 379.90747, 299.26834)
 proba :  0.014213581
(3321.232, 1194.3148, 3770.2065, 1805.9694)
We are managing local photo_id
image_path : temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg
image_size (480, 640, 3)
[[[36 41 44]
  [36 41 44]
  [35 40 43]
  ...
  [ 8 10 10]
  [ 8 10 10]
  [ 8 10 10]]

 [[37 42 45]
  [36 41 44]
  [35 40 43]
  ...
  [ 5  7  7]
  [ 5  7  7]
  [ 5  7  7]]

 [[37 42 45]
  [36 41 44]
  [35 40 43]
  ...
  [ 3  5  5]
  [ 4  6  6]
  [ 4  6  6]]

 ...

 [[42 47 50]
  [41 46 49]
  [40 45 48]
  ...
  [ 8 10 10]
  [ 8 10 10]
  [ 8 10 10]]

 [[41 46 49]
  [41 46 49]
  [40 45 48]
  ...
  [ 0  2  2]
  [10 12 12]
  [22 24 24]]

 [[40 45 48]
  [40 45 48]
  [40 45 48]
  ...
  [10 12 12]
  [17 19 19]
  [26 28 28]]]
Detection took 0.068s for 300 object proposals
 c : aile-arriere
 list_crops.shape (32, 5)
 proba :  0.12729302
(160.84987, 172.85501, 306.19165, 321.39227)
 proba :  0.011539416
(538.5322, 190.83334, 613.96533, 298.88757)
 proba :  0.0102572935
(197.32121, 160.36435, 490.47388, 311.27454)
 c : aile-avant
 list_crops.shape (40, 5)
 proba :  0.94814074
(161.77968, 149.54187, 330.65155, 343.41788)
 proba :  0.09028358
(20.760904, 105.88092, 54.77536, 195.62854)
 proba :  0.022176642
(152.8035, 143.27008, 217.17422, 306.26617)
 proba :  0.013757316
(320.70105, 330.90747, 439.32916, 414.44604)
 proba :  0.011394598
(557.7663, 199.67052, 608.6661, 270.508)
 c : autre
 list_crops.shape (36, 5)
 proba :  0.01142769
(458.27054, 15.297184, 521.1443, 98.99339)
 c : cache-reservoir
 list_crops.shape (37, 5)
 proba :  0.029750878
(470.5672, 21.583443, 531.4637, 89.19957)
 proba :  0.025543991
(368.2799, 265.85693, 446.90076, 331.26495)
 proba :  0.014928076
(353.33105, 360.4888, 412.48846, 423.1309)
 proba :  0.014709198
(451.1145, 57.605824, 523.1601, 125.92375)
 c : capot
 list_crops.shape (33, 5)
 proba :  0.99441963
(211.22055, 115.14685, 555.76086, 300.745)
 proba :  0.23370618
(65.79155, 24.148855, 285.73285, 46.316994)
 proba :  0.034845255
(343.23352, 279.91254, 508.20544, 431.9143)
 proba :  0.017474473
(89.43114, 37.51644, 357.51367, 63.62874)
 proba :  0.010149268
(424.3764, 246.66743, 564.6211, 357.00516)
 c : carrosserie-autre
 list_crops.shape (35, 5)
 proba :  0.02855008
(454.54587, 25.083038, 523.5224, 121.40901)
 c : coffre
 list_crops.shape (31, 5)
 proba :  0.1296335
(446.43262, 19.304874, 528.3389, 117.906845)
 proba :  0.102540925
(139.94524, 45.995827, 419.50397, 192.67395)
 proba :  0.030845433
(269.265, 162.00914, 553.9396, 348.94037)
 c : essuie-glace
 list_crops.shape (40, 5)
 proba :  0.78942657
(203.8747, 108.23517, 416.74353, 147.36237)
 proba :  0.14471401
(369.0683, 267.53015, 445.036, 332.95636)
 proba :  0.09796907
(391.06628, 261.18155, 527.019, 318.11917)
 proba :  0.07720487
(470.47864, 22.210083, 532.0725, 88.0214)
 proba :  0.035419364
(354.3847, 360.35876, 414.20428, 422.97736)
 proba :  0.014151565
(114.8368, 22.669767, 335.36398, 42.909843)
 proba :  0.012221479
(254.5799, 94.73464, 456.83014, 288.5621)
 proba :  0.010930189
(353.83484, 285.5693, 484.78625, 414.69028)
 c : feu-antibrouillard
 list_crops.shape (39, 5)
 proba :  0.21193479
(341.78314, 363.48312, 404.8504, 430.65878)
 proba :  0.05588508
(368.66855, 268.628, 446.4451, 330.0901)
 proba :  0.025238054
(470.42926, 21.907665, 531.39386, 89.25595)
 proba :  0.023566997
(389.45508, 264.04083, 529.79407, 316.94867)
 proba :  0.0164662
(451.49097, 58.835037, 522.9129, 125.19968)
 proba :  0.010561384
(467.0059, 343.55017, 573.76373, 420.20203)
 c : feu-arriere
 list_crops.shape (39, 5)
 proba :  0.10166456
(329.66705, 259.2528, 456.71606, 315.5432)
 proba :  0.042244323
(454.3058, 28.763462, 522.91327, 104.09708)
 proba :  0.025253834
(333.51242, 352.84686, 405.05728, 425.9721)
 proba :  0.010687718
(475.56543, 341.5398, 575.44275, 420.1516)
 c : info-modele
 list_crops.shape (37, 5)
 proba :  0.070466325
(470.48975, 21.813904, 532.041, 89.5715)
 proba :  0.038773745
(353.82822, 361.5405, 412.99576, 422.85312)
 proba :  0.033359874
(368.71405, 266.8136, 448.2436, 331.6272)
 proba :  0.023038749
(450.8449, 57.46586, 524.0724, 126.332695)
 proba :  0.015800074
(390.1491, 260.84528, 533.1751, 317.52325)
 c : logo-marque
 list_crops.shape (39, 5)
 proba :  0.119359
(352.96854, 361.31348, 412.5311, 422.701)
 proba :  0.032975916
(470.55685, 20.778511, 530.95764, 88.80076)
 proba :  0.027522303
(370.8201, 264.58456, 447.20822, 329.63907)
 proba :  0.02502812
(397.4795, 260.81982, 526.3142, 316.54034)
 proba :  0.014333132
(584.15216, 0.7487068, 639.0, 70.73872)
 c : logo-roue
 list_crops.shape (37, 5)
 proba :  0.014609102
(353.32196, 360.72836, 413.24707, 423.60684)
 proba :  0.013225046
(470.3449, 21.600368, 532.0637, 89.580124)
 c : pare-brise
 list_crops.shape (34, 5)
 proba :  0.95696527
(141.10828, 42.472137, 444.08435, 147.78358)
 proba :  0.10508496
(319.45544, 22.012863, 424.03204, 129.12785)
 proba :  0.06654266
(453.85602, 19.658775, 523.27045, 91.54652)
 proba :  0.050987687
(287.2149, 164.0598, 547.3239, 296.73633)
 proba :  0.023293024
(95.59742, 40.148563, 158.49277, 162.53923)
 c : pare-choc
 list_crops.shape (29, 5)
 proba :  0.94538414
(272.89615, 257.5048, 580.23096, 444.44412)
 proba :  0.21968071
(233.4901, 224.18661, 397.765, 411.54776)
 proba :  0.02882265
(487.9763, 17.564014, 613.4246, 120.57466)
 proba :  0.028743712
(435.9587, 307.78607, 588.67706, 426.5774)
 c : phare
 list_crops.shape (38, 5)
 proba :  0.7776437
(326.84082, 251.89087, 477.77185, 312.86188)
 proba :  0.077034354
(328.2194, 359.6369, 410.24118, 426.96613)
 proba :  0.03882598
(292.80566, 225.14319, 466.74347, 392.34332)
 proba :  0.033105437
(538.23804, 197.21309, 600.2163, 303.44092)
 proba :  0.026039833
(466.65115, 20.839685, 531.73474, 84.11787)
 proba :  0.01886023
(305.60498, 209.47247, 597.7115, 307.1167)
 proba :  0.014257761
(478.9217, 344.12885, 578.6281, 416.75293)
 proba :  0.011290367
(96.6691, 66.98697, 163.91208, 147.69229)
 c : plaque-immatriculation
 list_crops.shape (38, 5)
 proba :  0.23006967
(518.55585, 294.16504, 582.3382, 390.75732)
 proba :  0.033769187
(438.44476, 271.76022, 568.42163, 386.56107)
 proba :  0.02587429
(347.1829, 259.77222, 452.87747, 315.93726)
 proba :  0.02114559
(470.38947, 23.621248, 531.6096, 85.37821)
 c : poignee
 list_crops.shape (35, 5)
 proba :  0.054390777
(583.3537, 0.030948639, 639.0, 70.9881)
 proba :  0.03403547
(470.45404, 21.597534, 531.673, 89.77317)
 proba :  0.02638068
(353.1705, 360.95758, 412.89432, 423.5999)
 proba :  0.024484651
(368.06073, 266.12253, 448.05615, 332.2659)
 c : porte
 list_crops.shape (28, 5)
 proba :  0.9854107
(78.165085, 43.076157, 169.65602, 306.44525)
 proba :  0.9672512
(33.643272, 44.180786, 90.64756, 241.28845)
 proba :  0.0915915
(452.37054, 19.604664, 521.0891, 113.53453)
 proba :  0.034181103
(158.75415, 46.151802, 421.3167, 212.16187)
 proba :  0.012426866
(436.9683, 223.37599, 575.06226, 403.33057)
 c : pot-echappement
 list_crops.shape (37, 5)
 proba :  0.055535294
(353.82086, 360.70157, 412.23108, 423.3389)
 proba :  0.018792365
(458.05545, 14.544682, 521.2205, 99.67081)
 proba :  0.012941843
(584.39087, 0.0, 639.0, 71.103035)
 proba :  0.01132032
(466.1448, 340.3395, 575.4006, 420.87833)
 c : radiateur
 list_crops.shape (38, 5)
 c : retroviseur
 list_crops.shape (39, 5)
 proba :  0.23812994
(452.17993, 56.79276, 522.169, 124.11784)
 proba :  0.20780496
(471.15387, 21.539532, 531.2193, 89.271225)
 proba :  0.19329856
(369.9084, 266.02057, 447.44733, 332.58502)
 proba :  0.04562008
(342.49356, 362.45773, 404.12863, 431.03415)
 proba :  0.026586499
(176.92685, 115.95024, 409.84958, 150.13899)
 proba :  0.021459585
(584.37915, 0.0, 639.0, 70.69187)
 proba :  0.013621076
(392.94904, 259.87906, 530.615, 318.63278)
 proba :  0.01049544
(101.9436, 73.787796, 164.67914, 158.12749)
 c : roue
 list_crops.shape (38, 5)
 proba :  0.9417761
(187.7857, 271.24338, 306.50967, 426.32968)
 proba :  0.13538651
(334.8723, 358.32166, 400.0775, 428.79828)
 proba :  0.04978816
(538.7115, 250.99774, 599.9937, 395.27863)
 proba :  0.03740266
(12.768845, 136.75302, 64.16107, 244.91595)
 proba :  0.03481554
(549.3059, 192.38739, 605.79553, 305.71448)
 proba :  0.015742842
(479.68735, 335.91577, 572.4815, 421.26538)
 c : toit
 list_crops.shape (34, 5)
 proba :  0.7919347
(83.63257, 31.277248, 341.39172, 55.135983)
 c : vitre
 list_crops.shape (37, 5)
 proba :  0.9804725
(95.83096, 50.274654, 162.35431, 142.9749)
 proba :  0.8425244
(42.275856, 43.05114, 91.28242, 114.96476)
 proba :  0.07668751
(277.41284, 28.77269, 404.65814, 139.55498)
 proba :  0.06448491
(455.88568, 20.45871, 518.8418, 90.14394)
 proba :  0.027502723
(148.30508, 51.205486, 355.98633, 112.50879)
 proba :  0.0131758
(336.1932, 352.38458, 408.21732, 424.2309)
 proba :  0.012455433
(364.93573, 257.46832, 445.52734, 324.0382)
We are managing local photo_id
len de result frcnn : 6

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 8.291481256484985
time spend to save output : 0.0003566741943359375
total time spend for step 1 : 8.291837930679321

step2:crop_condition
Sun Feb  2 03:42:32 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464143_2241491_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg': 950003838, 'temp/1738464143_2241491_950003813_e28be02dfcce79cce594a390a9911a0a.jpg': 950003813, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg': 950003812, 'temp/1738464143_2241491_950003696_11e3a77b72af4b332d366d98984039c7.jpg': 950003696, 'temp/1738464143_2241491_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg': 950003695, 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg': 926687666}
map_photo_id_path_extension : {950003838: {'path': 'temp/1738464143_2241491_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'extension': 'jpg'}, 950003813: {'path': 'temp/1738464143_2241491_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'extension': 'jpg'}, 950003812: {'path': 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'extension': 'jpg'}, 950003696: {'path': 'temp/1738464143_2241491_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'extension': 'jpg'}, 950003695: {'path': 'temp/1738464143_2241491_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'extension': 'jpg'}, 926687666: {'path': 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
param_json : {'photo_hashtag_type': 757, 'token': '78d09a0790ec6ecbf119343125a81fdc', 'feed_id_new_photos': 1981313, 'host': 'www.fotonower.com', 'filter': {'phare': {'margin_type': 'margin', 'margin_value': 300, 'feed_id_new_photos': 1097966}, 'aile-avant': {}}, 'crop_type': 'bib', 'margin_type': 'margin_relative', 'margin_value': [0.5, 0.1, 0.5, 0.1], 'min_score': 0.3}
 list_filenames in step crop :  ['temp/1738464143_2241491_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'temp/1738464143_2241491_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'temp/1738464143_2241491_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'temp/1738464143_2241491_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg']
Loading chi in step crop with photo_hashtag_type : 757
Loading chi in step crop for subpids : 6 !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 950003838,950003813,950003812,950003696,950003695,926687666) and `type` in (757) 
Loaded 32 chid ids of type : 757
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701)
select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos  where photo_id in ( 950003838,950003813,950003812,950003696,950003695,926687666) 
select sub_photo_id, crop_hashtag_id from MTRPhoto.crop_sub_photo_ids where sub_photo_id in (971020109,971021726,971022383,1071808962,1071808969,1071808957,1071808960,1071808966) 
map_pid_crop from SQL : 
['[<mtr.simple_image_editor.image_utils.CHI object at 0x7f615c445e80>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c0fe640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c0febb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c0fe970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c0fed30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2ddbb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2ddd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2ddb50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd490>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd5b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2ddf40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2ddeb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd1c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dde80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2ddf70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2d9d00>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2d9df0>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2d9640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2d9cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2d9070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2d98e0>]']

begin to crop the class : phare
param for this class : {'margin_type': 'margin', 'margin_value': 300, 'feed_id_new_photos': 1097966}
filtre for class : phare 
hashtag_id of this class : 492624020
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 757 and photo_id in (950003838,950003813,950003812,950003696,950003695,926687666) and hashtag_id = 492624020) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [1655713621]
chi_id interessant : [1655713621, 1655713648]
chi_id interessant : [1655713621, 1655713648, 1655713647]
WARNING : margin is only used for type bib !

type of cropped photo chosen : bib
we resize croppped photo by 1 on x axis and by 1 on y axis
 new_file_path_bib_crop : temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg
 new_file_path_bib_crop : temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg
 new_file_path_bib_crop : temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg
 map_result returned by crop_photo_return_map_crop : length : 3
map_result after crop : {1655713647: {'crop': 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', 'photo_id': 950003812, 'sub_photo_id': 1071808957, 'coordonates': (318, 489, 264, 310), 'sub_photo_infos': (18, 614, 0, 480, 1, 1), 'same_chi': True}, 1655713648: {'crop': 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', 'photo_id': 950003812, 'sub_photo_id': 1071808960, 'coordonates': (261, 408, 234, 331), 'sub_photo_infos': (0, 614, 0, 480, 1, 1), 'same_chi': True}, 1655713621: {'crop': 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', 'photo_id': 926687666, 'sub_photo_id': 1071808962, 'coordonates': (326, 477, 251, 312), 'sub_photo_infos': (26, 640, 0, 480, 1, 1), 'same_chi': True}}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{1071808957: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808962: [926687666, 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)]}
we have finished the crop for the class : phare



begin to crop the class : aile-avant
param for this class : {}
filtre for class : aile-avant 
hashtag_id of this class : 2106233860
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 757 and photo_id in (950003838,950003813,950003812,950003696,950003695,926687666) and hashtag_id = 2106233860) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [1655713607]
chi_id interessant : [1655713607, 1655713634]
WARNING : margin is only used for type bib !

type of cropped photo chosen : bib
we resize croppped photo by 1 on x axis and by 1 on y axis
 new_file_path_bib_crop : temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg
now we use margin_relative for the photo_id : 950003812
 new_file_path_bib_crop : temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg
now we use margin_relative for the photo_id : 926687666
 map_result returned by crop_photo_return_map_crop : length : 2
map_result after crop : {1655713634: {'crop': 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', 'photo_id': 950003812, 'sub_photo_id': 1071808966, 'coordonates': (133, 305, 146, 344), 'sub_photo_infos': (34, 324, 60, 361, 1, 1), 'same_chi': True}, 1655713607: {'crop': 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', 'photo_id': 926687666, 'sub_photo_id': 1071808969, 'coordonates': (161, 330, 149, 343), 'sub_photo_infos': (64, 349, 65, 359, 1, 1), 'same_chi': True}}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{1071808966: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', (133, 305, 146, 344)], 1071808969: [926687666, 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)]}
we have finished the crop for the class : aile-avant


map of total cropped photos with some data : 
{1071808957: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808962: [926687666, 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808966: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', (133, 305, 146, 344)], 1071808969: [926687666, 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.8102419376373291
time spend to save output : 0.00024580955505371094
total time spend for step 2 : 0.8104877471923828

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 2
 output : {1071808957: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808962: [926687666, 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808966: [950003812, 'temp/1738464143_2241491_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', (133, 305, 146, 344)], 1071808969: [926687666, 'temp/1738464143_2241491_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)]}

############################### TEST image_blanchir  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1818

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1818
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1818
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1818
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : image_blanchir
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (990111206) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 990111206
download finish for photo 990111206
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.10828566551208496
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
WARNING : we have an input that is not a photo, we should get rid of it
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:image_blanchir
Sun Feb  2 03:42:33 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464153_2241491_990111206_7ca22c7e68dd0a10509c7987af0cf549.png': 990111206}
map_photo_id_path_extension : {990111206: {'path': 'temp/1738464153_2241491_990111206_7ca22c7e68dd0a10509c7987af0cf549.png', 'extension': 'png'}}
map_subphoto_mainphoto : {}
inside step blanchir_image
https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc
feed_id_new_photos:20149263
treat image : temp/1738464153_2241491_990111206_7ca22c7e68dd0a10509c7987af0cf549.png
blanchir func
in upload media
 Upload medias :  ['temp/1738464153_2241491_990111206_7ca22c7e68dd0a10509c7987af0cf549.png'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0
temp/1738464153_2241491_990111206_7ca22c7e68dd0a10509c7987af0cf549.png
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1333831296"],"photo_id":"1333831296","photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/2/748fa9783d69c0e85249a4a6c8caf98e.png","text":"TemporaryFile(/tmp/multipartBody5552318003064240190asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1738464154674,"filename":"1738464153_2241491_990111206_7ca22c7e68dd0a10509c7987af0cf549.png","height":0,"width":0}],"map_files_photo_id":{"file0":"1333831296"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1333831296"}],"hashtags":[],"portfolio_id":"20149263","result":[],"list_datou_current":[]}'
Result OK !

After datou_step_exec type output : <class 'list'>

time spend for datou_step_exec : 6.446810007095337
time spend to save output : 2.384185791015625e-05
total time spend for step 1 : 6.446833848953247

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
sauvegarde pour la step blanchir_image


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [[1818, 0, 990111206, 1, 1, 1, None, 1, None]]
time used for this insertion : 0.021997928619384766

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(990111206, '1333831296', 0, 300, 0, 381, 1, 1, 'blanc')]
[(990111206, '1333831296', 0, 300, 0, 381, 1, 1, 'blanc')]

############################### TEST darker_image  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2085

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2085
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2085
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2085
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : darker_image
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (2077915) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (2077915)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 989962950, 'portfolio_id': 2077915}]
 map_portfolio_id_photo_id: {2077915: [989962950]}
##### Call download_photos : nb_thread : 5
begin to download photo : 989962950
download finish for photo 989962950
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.25618481636047363
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:darker_image
Sun Feb  2 03:42:40 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464159_2241491_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg': 989962950}
map_photo_id_path_extension : {989962950: {'path': 'temp/1738464159_2241491_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
dans la step darker
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 989962950) and `type` in (2228) 
Loaded 7 chid ids of type : 2228
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484977, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484978, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484979, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484980, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484981, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484982, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484983, for now we just ignore these empty polygon points 
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
treat image : temp/1738464159_2241491_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg
in upload media
 Upload medias :  ['temp/1738464159_2241491_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0
temp/1738464159_2241491_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1333831322"],"photo_id":"1333831322","photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/2/6f68800cfbcc849ffccc49c5253bef43.jpg","text":"TemporaryFile(/tmp/multipartBody6916837724063520412asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1738464160992,"filename":"1738464159_2241491_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg","height":0,"width":0}],"map_files_photo_id":{"file0":"1333831322"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1333831322"}],"hashtags":[],"portfolio_id":"2213400","result":[],"list_datou_current":[]}'
Result OK !
list chi to save
[<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c0fe640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c0fed30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c2dd9a0>]
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 7 chid ids of type : 2228
Number RLEs to save : 0
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
crops sauvegardes

After datou_step_exec type output : <class 'list'>

time spend for datou_step_exec : 8.352505445480347
time spend to save output : 4.673004150390625e-05
total time spend for step 1 : 8.35255217552185

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
sauvegarde pour la step blanchir_image


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [[2085, 0, 989962950, 1, 1, 1, None, 1, None]]
time used for this insertion : 0.024900197982788086

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(989962950, '1333831322', 0, 897, 0, 1431, 1, 1, 'darker')]
[(989962950, '1333831322', 0, 897, 0, 1431, 1, 1, 'darker')]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1333831322) and `type` in (2228) 
Loaded 7 chid ids of type : 2228
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3649470275,3649470276,3649470274,3649470272,3649470273,3649470270,3649470271)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649470275,3649470276,3649470274,3649470272,3649470273,3649470270,3649470271)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649470275,3649470276,3649470274,3649470272,3649470273,3649470270,3649470271)

############################### TEST img_aug  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2041

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2041
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2041
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2041
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : data_aug
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (2077915) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (2077915)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 989962950, 'portfolio_id': 2077915}]
 map_portfolio_id_photo_id: {2077915: [989962950]}
##### Call download_photos : nb_thread : 5
begin to download photo : 989962950
download finish for photo 989962950
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.09266996383666992
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:data_aug
Sun Feb  2 03:42:49 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464169_2241491_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg': 989962950}
map_photo_id_path_extension : {989962950: {'path': 'temp/1738464169_2241491_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
numpy.version est ancienne, on utilise l'ancien bit generator
numpy.version est ancienne, on utilise l'ancien bit generator
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 989962950) and `type` in (2228) 
Loaded 7 chid ids of type : 2228
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484977, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484978, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484979, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484980, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484981, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484982, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484983, for now we just ignore these empty polygon points 
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)


on traite des points
in upload media
 Upload medias :  ['temp/1738464169_2241491_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=7ad776945df9e5335881f03fafdabb27&datou=0
temp/1738464169_2241491_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1333831323"],"photo_id":"1333831323","photo_detail":[{"mtr_user_id":0,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/2/f679edca449c9a0ad7461a1edf1cfdba.jpg","text":"TemporaryFile(/tmp/multipartBody1911514447710586090asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1738464169875,"filename":"1738464169_2241491_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg","height":0,"width":0}],"map_files_photo_id":{"file0":"1333831323"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1333831323"}],"hashtags":[],"portfolio_id":"2095671","result":[],"list_datou_current":[]}'
Result OK !
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 7 chid ids of type : 2260
ERROR missing MTRPhoto.crop_hashtag_ids : 492774966 on photo_id : 1333831323
ERROR missing MTRPhoto.crop_hashtag_ids : 492774966 on photo_id : 1333831323
ERROR missing MTRPhoto.crop_hashtag_ids : 492725882 on photo_id : 1333831323
ERROR missing MTRPhoto.crop_hashtag_ids : 492725882 on photo_id : 1333831323
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1333831323
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1333831323
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1333831323
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
photo_uploade
augmentation faite pour la photo : 989962950

After datou_step_exec type output : <class 'list'>

time spend for datou_step_exec : 7.409667491912842
time spend to save output : 3.1948089599609375e-05
total time spend for step 1 : 7.409699440002441

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
sauvegarde pour la step blanchir_image


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [[2041, 0, 989962950, 1, 1, 1, None, 1, None]]
time used for this insertion : 0.013844013214111328

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(989962950, 1333831323, 0, 1431, 0, 897, 1, 1, 'img_aug')]
[(989962950, 1333831323, 0, 1431, 0, 897, 1, 1, 'img_aug')]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1333831323) and `type` in (2260) 
Loaded 7 chid ids of type : 2260
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3649470282,3649470283,3649470281,3649470279,3649470280,3649470277,3649470278)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649470282,3649470283,3649470281,3649470279,3649470280,3649470277,3649470278)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649470282,3649470283,3649470281,3649470279,3649470280,3649470277,3649470278)

############################### TEST rubbia  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3789

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3789
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3789
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3789
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4599398) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4599398)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1049318362, 'portfolio_id': 4599398}, {'photo_id': 1049318360, 'portfolio_id': 4599398}, {'photo_id': 1049318358, 'portfolio_id': 4599398}, {'photo_id': 1049318356, 'portfolio_id': 4599398}, {'photo_id': 1049318342, 'portfolio_id': 4599398}, {'photo_id': 1049318339, 'portfolio_id': 4599398}, {'photo_id': 1049318337, 'portfolio_id': 4599398}, {'photo_id': 1049318311, 'portfolio_id': 4599398}, {'photo_id': 1049318310, 'portfolio_id': 4599398}, {'photo_id': 1049318309, 'portfolio_id': 4599398}, {'photo_id': 1049318294, 'portfolio_id': 4599398}, {'photo_id': 1049318293, 'portfolio_id': 4599398}, {'photo_id': 1049318291, 'portfolio_id': 4599398}, {'photo_id': 1049318289, 'portfolio_id': 4599398}, {'photo_id': 1049318288, 'portfolio_id': 4599398}, {'photo_id': 1049318287, 'portfolio_id': 4599398}, {'photo_id': 1049318279, 'portfolio_id': 4599398}, {'photo_id': 1049318276, 'portfolio_id': 4599398}, {'photo_id': 1049318273, 'portfolio_id': 4599398}, {'photo_id': 1049318271, 'portfolio_id': 4599398}, {'photo_id': 1049318268, 'portfolio_id': 4599398}, {'photo_id': 1049318265, 'portfolio_id': 4599398}, {'photo_id': 1049318260, 'portfolio_id': 4599398}, {'photo_id': 1049318257, 'portfolio_id': 4599398}, {'photo_id': 1049318253, 'portfolio_id': 4599398}, {'photo_id': 1049318250, 'portfolio_id': 4599398}, {'photo_id': 1049318247, 'portfolio_id': 4599398}, {'photo_id': 1049318246, 'portfolio_id': 4599398}, {'photo_id': 1049318222, 'portfolio_id': 4599398}, {'photo_id': 1049318219, 'portfolio_id': 4599398}, {'photo_id': 1049318216, 'portfolio_id': 4599398}, {'photo_id': 1049318214, 'portfolio_id': 4599398}, {'photo_id': 1049318213, 'portfolio_id': 4599398}, {'photo_id': 1049318212, 'portfolio_id': 4599398}, {'photo_id': 1049317554, 'portfolio_id': 4599398}, {'photo_id': 1049317551, 'portfolio_id': 4599398}, {'photo_id': 1049317549, 'portfolio_id': 4599398}, {'photo_id': 1049317546, 'portfolio_id': 4599398}, {'photo_id': 1049317542, 'portfolio_id': 4599398}, {'photo_id': 1049317536, 'portfolio_id': 4599398}, {'photo_id': 1049317526, 'portfolio_id': 4599398}, {'photo_id': 1049317525, 'portfolio_id': 4599398}, {'photo_id': 1049317524, 'portfolio_id': 4599398}, {'photo_id': 1049317522, 'portfolio_id': 4599398}, {'photo_id': 1049317520, 'portfolio_id': 4599398}, {'photo_id': 1049317517, 'portfolio_id': 4599398}, {'photo_id': 1049317497, 'portfolio_id': 4599398}, {'photo_id': 1049317493, 'portfolio_id': 4599398}, {'photo_id': 1049317491, 'portfolio_id': 4599398}, {'photo_id': 1049317489, 'portfolio_id': 4599398}, {'photo_id': 1049317487, 'portfolio_id': 4599398}, {'photo_id': 1049317485, 'portfolio_id': 4599398}, {'photo_id': 1049317468, 'portfolio_id': 4599398}, {'photo_id': 1049317461, 'portfolio_id': 4599398}, {'photo_id': 1049317457, 'portfolio_id': 4599398}, {'photo_id': 1049317453, 'portfolio_id': 4599398}, {'photo_id': 1049317444, 'portfolio_id': 4599398}, {'photo_id': 1049317440, 'portfolio_id': 4599398}, {'photo_id': 1049317359, 'portfolio_id': 4599398}, {'photo_id': 1049317333, 'portfolio_id': 4599398}, {'photo_id': 1049317282, 'portfolio_id': 4599398}, {'photo_id': 1049317225, 'portfolio_id': 4599398}, {'photo_id': 1049317210, 'portfolio_id': 4599398}, {'photo_id': 1049317197, 'portfolio_id': 4599398}, {'photo_id': 1049316790, 'portfolio_id': 4599398}, {'photo_id': 1049316785, 'portfolio_id': 4599398}, {'photo_id': 1049316782, 'portfolio_id': 4599398}, {'photo_id': 1049316778, 'portfolio_id': 4599398}, {'photo_id': 1049316752, 'portfolio_id': 4599398}, {'photo_id': 1049316749, 'portfolio_id': 4599398}, {'photo_id': 1049316610, 'portfolio_id': 4599398}, {'photo_id': 1049316600, 'portfolio_id': 4599398}, {'photo_id': 1049316597, 'portfolio_id': 4599398}, {'photo_id': 1049316594, 'portfolio_id': 4599398}, {'photo_id': 1049316588, 'portfolio_id': 4599398}, {'photo_id': 1049316582, 'portfolio_id': 4599398}, {'photo_id': 1049316545, 'portfolio_id': 4599398}, {'photo_id': 1049316543, 'portfolio_id': 4599398}, {'photo_id': 1049316540, 'portfolio_id': 4599398}, {'photo_id': 1049316537, 'portfolio_id': 4599398}, {'photo_id': 1049316534, 'portfolio_id': 4599398}, {'photo_id': 1049316520, 'portfolio_id': 4599398}, {'photo_id': 1049316338, 'portfolio_id': 4599398}, {'photo_id': 1049316336, 'portfolio_id': 4599398}, {'photo_id': 1049316332, 'portfolio_id': 4599398}, {'photo_id': 1049316331, 'portfolio_id': 4599398}, {'photo_id': 1049316257, 'portfolio_id': 4599398}, {'photo_id': 1049316255, 'portfolio_id': 4599398}, {'photo_id': 1049316222, 'portfolio_id': 4599398}, {'photo_id': 1049316216, 'portfolio_id': 4599398}, {'photo_id': 1049316214, 'portfolio_id': 4599398}, {'photo_id': 1049316212, 'portfolio_id': 4599398}, {'photo_id': 1049316210, 'portfolio_id': 4599398}, {'photo_id': 1049316209, 'portfolio_id': 4599398}, {'photo_id': 1049313025, 'portfolio_id': 4599398}, {'photo_id': 1049312984, 'portfolio_id': 4599398}, {'photo_id': 1049312803, 'portfolio_id': 4599398}, {'photo_id': 1049312588, 'portfolio_id': 4599398}, {'photo_id': 1049312585, 'portfolio_id': 4599398}, {'photo_id': 1049312583, 'portfolio_id': 4599398}, {'photo_id': 1049312579, 'portfolio_id': 4599398}, {'photo_id': 1049312574, 'portfolio_id': 4599398}, {'photo_id': 1049312573, 'portfolio_id': 4599398}, {'photo_id': 1049312571, 'portfolio_id': 4599398}, {'photo_id': 1049312568, 'portfolio_id': 4599398}, {'photo_id': 1049312566, 'portfolio_id': 4599398}, {'photo_id': 1049312562, 'portfolio_id': 4599398}, {'photo_id': 1049312556, 'portfolio_id': 4599398}, {'photo_id': 1049312508, 'portfolio_id': 4599398}, {'photo_id': 1049312489, 'portfolio_id': 4599398}, {'photo_id': 1049312488, 'portfolio_id': 4599398}, {'photo_id': 1049312487, 'portfolio_id': 4599398}, {'photo_id': 1049312485, 'portfolio_id': 4599398}, {'photo_id': 1049312484, 'portfolio_id': 4599398}, {'photo_id': 1049312464, 'portfolio_id': 4599398}, {'photo_id': 1049312463, 'portfolio_id': 4599398}, {'photo_id': 1049312462, 'portfolio_id': 4599398}, {'photo_id': 1049312461, 'portfolio_id': 4599398}, {'photo_id': 1049312460, 'portfolio_id': 4599398}, {'photo_id': 1049312449, 'portfolio_id': 4599398}, {'photo_id': 1049312445, 'portfolio_id': 4599398}, {'photo_id': 1049312444, 'portfolio_id': 4599398}, {'photo_id': 1049312442, 'portfolio_id': 4599398}, {'photo_id': 1049312440, 'portfolio_id': 4599398}, {'photo_id': 1049312438, 'portfolio_id': 4599398}, {'photo_id': 1049312429, 'portfolio_id': 4599398}, {'photo_id': 1049312426, 'portfolio_id': 4599398}, {'photo_id': 1049312424, 'portfolio_id': 4599398}, {'photo_id': 1049312422, 'portfolio_id': 4599398}, {'photo_id': 1049312420, 'portfolio_id': 4599398}, {'photo_id': 1049312409, 'portfolio_id': 4599398}, {'photo_id': 1049312406, 'portfolio_id': 4599398}, {'photo_id': 1049312404, 'portfolio_id': 4599398}, {'photo_id': 1049312363, 'portfolio_id': 4599398}, {'photo_id': 1049312208, 'portfolio_id': 4599398}, {'photo_id': 1049311964, 'portfolio_id': 4599398}, {'photo_id': 1049311963, 'portfolio_id': 4599398}, {'photo_id': 1049311962, 'portfolio_id': 4599398}, {'photo_id': 1049311961, 'portfolio_id': 4599398}, {'photo_id': 1049311960, 'portfolio_id': 4599398}, {'photo_id': 1049311943, 'portfolio_id': 4599398}, {'photo_id': 1049311938, 'portfolio_id': 4599398}, {'photo_id': 1049311937, 'portfolio_id': 4599398}, {'photo_id': 1049311935, 'portfolio_id': 4599398}, {'photo_id': 1049311934, 'portfolio_id': 4599398}, {'photo_id': 1049311932, 'portfolio_id': 4599398}, {'photo_id': 1049311795, 'portfolio_id': 4599398}, {'photo_id': 1049311793, 'portfolio_id': 4599398}, {'photo_id': 1049311791, 'portfolio_id': 4599398}, {'photo_id': 1049311771, 'portfolio_id': 4599398}, {'photo_id': 1049311767, 'portfolio_id': 4599398}, {'photo_id': 1049311267, 'portfolio_id': 4599398}, {'photo_id': 1049311266, 'portfolio_id': 4599398}, {'photo_id': 1049311263, 'portfolio_id': 4599398}, {'photo_id': 1049311252, 'portfolio_id': 4599398}, {'photo_id': 1049311199, 'portfolio_id': 4599398}, {'photo_id': 1049311136, 'portfolio_id': 4599398}, {'photo_id': 1049311073, 'portfolio_id': 4599398}, {'photo_id': 1049311009, 'portfolio_id': 4599398}, {'photo_id': 1049311006, 'portfolio_id': 4599398}, {'photo_id': 1049310994, 'portfolio_id': 4599398}, {'photo_id': 1049310992, 'portfolio_id': 4599398}, {'photo_id': 1049310991, 'portfolio_id': 4599398}, {'photo_id': 1049310984, 'portfolio_id': 4599398}, {'photo_id': 1049310982, 'portfolio_id': 4599398}, {'photo_id': 1049310981, 'portfolio_id': 4599398}, {'photo_id': 1049310919, 'portfolio_id': 4599398}, {'photo_id': 1049310914, 'portfolio_id': 4599398}, {'photo_id': 1049310911, 'portfolio_id': 4599398}, {'photo_id': 1049310909, 'portfolio_id': 4599398}, {'photo_id': 1049310907, 'portfolio_id': 4599398}, {'photo_id': 1049310905, 'portfolio_id': 4599398}, {'photo_id': 1049310165, 'portfolio_id': 4599398}, {'photo_id': 1049310162, 'portfolio_id': 4599398}, {'photo_id': 1049310159, 'portfolio_id': 4599398}, {'photo_id': 1049310145, 'portfolio_id': 4599398}, {'photo_id': 1049310141, 'portfolio_id': 4599398}, {'photo_id': 1049310139, 'portfolio_id': 4599398}, {'photo_id': 1049310138, 'portfolio_id': 4599398}, {'photo_id': 1049310134, 'portfolio_id': 4599398}, {'photo_id': 1049310132, 'portfolio_id': 4599398}, {'photo_id': 1049309737, 'portfolio_id': 4599398}, {'photo_id': 1049309734, 'portfolio_id': 4599398}, {'photo_id': 1049309732, 'portfolio_id': 4599398}, {'photo_id': 1049309706, 'portfolio_id': 4599398}, {'photo_id': 1049309703, 'portfolio_id': 4599398}, {'photo_id': 1049309701, 'portfolio_id': 4599398}, {'photo_id': 1049309686, 'portfolio_id': 4599398}, {'photo_id': 1049309681, 'portfolio_id': 4599398}, {'photo_id': 1049309677, 'portfolio_id': 4599398}, {'photo_id': 1049309675, 'portfolio_id': 4599398}, {'photo_id': 1049309672, 'portfolio_id': 4599398}, {'photo_id': 1049309670, 'portfolio_id': 4599398}, {'photo_id': 1049309658, 'portfolio_id': 4599398}, {'photo_id': 1049309657, 'portfolio_id': 4599398}, {'photo_id': 1049309656, 'portfolio_id': 4599398}, {'photo_id': 1049309655, 'portfolio_id': 4599398}, {'photo_id': 1049309653, 'portfolio_id': 4599398}, {'photo_id': 1049309651, 'portfolio_id': 4599398}, {'photo_id': 1049309605, 'portfolio_id': 4599398}, {'photo_id': 1049309603, 'portfolio_id': 4599398}, {'photo_id': 1049309599, 'portfolio_id': 4599398}, {'photo_id': 1049309597, 'portfolio_id': 4599398}, {'photo_id': 1049309595, 'portfolio_id': 4599398}, {'photo_id': 1049309592, 'portfolio_id': 4599398}, {'photo_id': 1049309385, 'portfolio_id': 4599398}, {'photo_id': 1049309383, 'portfolio_id': 4599398}, {'photo_id': 1049309382, 'portfolio_id': 4599398}, {'photo_id': 1049309381, 'portfolio_id': 4599398}, {'photo_id': 1049309380, 'portfolio_id': 4599398}, {'photo_id': 1049309379, 'portfolio_id': 4599398}, {'photo_id': 1049309345, 'portfolio_id': 4599398}, {'photo_id': 1049308384, 'portfolio_id': 4599398}, {'photo_id': 1049308381, 'portfolio_id': 4599398}, {'photo_id': 1049308376, 'portfolio_id': 4599398}, {'photo_id': 1049308280, 'portfolio_id': 4599398}, {'photo_id': 1049308276, 'portfolio_id': 4599398}, {'photo_id': 1049308275, 'portfolio_id': 4599398}, {'photo_id': 1049308235, 'portfolio_id': 4599398}, {'photo_id': 1049307693, 'portfolio_id': 4599398}, {'photo_id': 1049306823, 'portfolio_id': 4599398}, {'photo_id': 1049306804, 'portfolio_id': 4599398}, {'photo_id': 1049306792, 'portfolio_id': 4599398}, {'photo_id': 1049306791, 'portfolio_id': 4599398}, {'photo_id': 1049306635, 'portfolio_id': 4599398}, {'photo_id': 1049306205, 'portfolio_id': 4599398}, {'photo_id': 1049304810, 'portfolio_id': 4599398}, {'photo_id': 1049303925, 'portfolio_id': 4599398}, {'photo_id': 1049296996, 'portfolio_id': 4599398}, {'photo_id': 1049296121, 'portfolio_id': 4599398}, {'photo_id': 1049294990, 'portfolio_id': 4599398}, {'photo_id': 1049293230, 'portfolio_id': 4599398}]
 map_portfolio_id_photo_id: {4599398: [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.0635371208190918
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score
Sun Feb  2 03:42:57 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
begin split time score
2022-04-13 10:29:59 0
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4599398 group by h
(('05', 2), ('07', 25), ('06', 1), ('08', 96), ('09', 44), ('10', 64))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4599398  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4599398)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4599398)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 188, 2: 36, 3: 8}
07092021 4599398 Nombre de photos uploadées : 232 / 23040 (1%)
07092021 4599398 Nombre de photos taguées (types de déchets): 232 / 232 (100%)
07092021 4599398 Nombre de photos taguées (volume) : 232 / 232 (100%)
[{'photo_id': 1049293230, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/f23ba47cedee4657ed22c3d9f9535a34.jpg', 'username': None, 'uploaded_at': 1630984864, 'text': 'image_07092021_05_20_04_010050m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049296121, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/0093b445a3c4de9b92562659d544a352.jpg', 'username': None, 'uploaded_at': 1630986542, 'text': 'image_07092021_05_47_33_009984m0.jpg 0.002 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049296996, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/f6ab2ade6ce6c6a1cdc5e37444e94ea8.jpg', 'username': None, 'uploaded_at': 1630987563, 'text': 'image_07092021_06_05_54_010003m0.jpg 0.003 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049303925, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/225c2975cddc22def1487c51a2d2f466.jpg', 'username': None, 'uploaded_at': 1630990923, 'text': 'image_07092021_07_00_04_009910m0.jpg 0.004 for time 1, id_amount 3 this amount prod time diff : 0.001'}]
232
[{'photo_id': 1049318293, 'score': 0.9999683, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049312426, 'score': 0.9998722, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049318291, 'score': 0.9998473, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049318289, 'score': 0.99982566, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}]
 elapsed_time : load_data_split_time_score 3.337860107421875e-06
 elapsed_time : order_list_meta_photo_and_scores 0.00012135505676269531
 elapsed_time : fill_and_build_computed_from_old_data 0.011322975158691406

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
42, 4599398, '2021-09-07'
) ON DUPLICATE KEY UPDATE mtr_portfolio_id=VALUES(mtr_portfolio_id), updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(106260,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.03239774703979492

 Creating list_photo_total 

 in select_descriptors : SELECT `photo_id`, `type_store` FROM MTRPhoto.photo_desc_search
        WHERE photo_id IN (1049293230,1049296121,1049296996,1049303925,1049304810,1049306205,1049306635,1049306791,1049294990,1049306792,1049306804,1049306823,1049307693,1049308235,1049308275,1049308276,1049308280,1049308376,1049308381,1049308384,1049309345,1049309379,1049309380,1049309381,1049309382,1049309383,1049309385,1049309592,1049309595,1049309597,1049309599,1049309603,1049309605,1049309651,1049309653,1049309655,1049309656,1049309657,1049309658,1049309670,1049309672,1049309675,1049309677,1049309681,1049309686,1049309701,1049309703,1049309706,1049309732,1049309734,1049309737,1049310132,1049310134,1049310138,1049310139,1049310141,1049310145,1049310159,1049310162,1049310165,1049310905,1049310907,1049310909,1049310911,1049310914,1049310919,1049310981,1049310982,1049310984,1049310991,1049310992,1049310994,1049311006,1049311009,1049311073,1049311136,1049311199,1049311252,1049311263,1049311266,1049311267,1049311767,1049311771,1049311791,1049311793,1049311795,1049311932,1049311934,1049311935,1049311937,1049311938,1049311943,1049311960,1049311961,1049311962,1049311963,1049311964,1049312208,1049312363,1049312404,1049312406,1049312409,1049312420,1049312422,1049312424,1049312426,1049312429,1049312438,1049312440,1049312442,1049312444,1049312445,1049312449,1049312460,1049312461,1049312462,1049312463,1049312464,1049312484,1049312485,1049312487,1049312488,1049312489,1049312508,1049312556,1049312562,1049312566,1049312568,1049312571,1049312573,1049312574,1049312579,1049312583,1049312585,1049312588,1049312803,1049312984,1049313025,1049316209,1049316210,1049316212,1049316214,1049316216,1049316222,1049316255,1049316257,1049316331,1049316332,1049316336,1049316338,1049316520,1049316534,1049316537,1049316540,1049316543,1049316545,1049316582,1049316588,1049316594,1049316597,1049316600,1049316610,1049316749,1049316752,1049316778,1049316782,1049316785,1049316790,1049317197,1049317210,1049317225,1049317282,1049317333,1049317359,1049317440,1049317444,1049317453,1049317457,1049317461,1049317468,1049317485,1049317487,1049317489,1049317491,1049317493,1049317497,1049317517,1049317520,1049317522,1049317524,1049317525,1049317526,1049317536,1049317542,1049317546,1049317549,1049317551,1049317554,1049318212,1049318213,1049318214,1049318216,1049318219,1049318222,1049318246,1049318247,1049318250,1049318253,1049318257,1049318260,1049318265,1049318268,1049318271,1049318273,1049318276,1049318279,1049318287,1049318288,1049318289,1049318291,1049318293,1049318294,1049318309,1049318310,1049318311,1049318337,1049318339,1049318342,1049318356,1049318358,1049318360,1049318362) AND `type`=3963
 elapsed_time : select_descriptors 20.518458604812622
07092021 4599398 Nombre de photos avec descriptors (type 3963) : 232 / 232 (100%)
ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) :  0 vs 2048 photo_id : 1049293230 photo_id_prec : 0
0:00:00|ON:0:27:28.999934|OFF:1:46:59.999878|ON:0:00:20.000007|OFF:0:01:51.000162|ON:0:12:18.999909|OFF:0:01:01.000055|ON:0:08:50.000116|OFF:0:00:09.999867|ON:0:00:19.999899|OFF:0:00:09.000058|ON:0:00:29.999860|OFF:0:01:40.000249|ON:0:00:30.999931|OFF:0:07:40.000107|ON:0:00:28.999981|OFF:0:00:09.999968|ON:0:00:10.999986|OFF:0:08:09.999919|ON:0:00:40.000176|OFF:0:01:08.999784|ON:0:00:11.000245|OFF:0:00:39.999921|ON:0:00:19.000004|OFF:0:06:31.000039|ON:0:02:09.999929|OFF:0:01:40.000021|ON:0:00:39.000031|OFF:0:07:10.999966|ON:0:12:30.000101|OFF:0:00:18.999765|ON:0:00:39.999946|OFF:0:00:11.000212|ON:0:00:29.999851|OFF:0:00:20.000150|ON:0:00:30.000042|OFF:0:00:18.999771|ON:0:07:31.000243|OFF:0:00:09.999942|ON:0:00:08.999822|OFF:0:00:11.000172|ON:0:00:39.999914|OFF:0:00:20|ON:0:31:10.000147|OFF:0:12:18.999857|ON:0:01:39.999950|OFF:0:00:19.999947|ON:0:00:21.000213|OFF:0:00:28.999911|ON:0:00:21.000117|OFF:0:00:40.000020|ON:0:10:58.999762|OFF:0:00:41.000023|ON:0:00:09.000008|OFF:0:00:21.000234|ON:0:00:29.999765|OFF:0:00:28.999920|ON:0:00:21.000174|OFF:0:00:30.000078|ON:0:00:29.999938|OFF:0:00:29.999871|ON:0:00:08.999965|OFF:0:09:31.000234|ON:0:00:09.999916|OFF:0:00:20.000049|ON:0:04:09.999926|OFF:0:01:09.000014|ON:0:02:00.999957|OFF:0:00:08.999951|ON:0:00:21.000053|OFF:0:00:18.999927|ON:0:00:39.999997|OFF:0:00:30.000158|ON:
 07092021 Removing 115 photos because of the 'same image' condition
 list_time_on : 36 first ten : [datetime.timedelta(seconds=1648, microseconds=999934), datetime.timedelta(seconds=20, microseconds=7), datetime.timedelta(seconds=738, microseconds=999909), datetime.timedelta(seconds=530, microseconds=116), datetime.timedelta(seconds=19, microseconds=999899), datetime.timedelta(seconds=29, microseconds=999860), datetime.timedelta(seconds=30, microseconds=999931), datetime.timedelta(seconds=28, microseconds=999981), datetime.timedelta(seconds=10, microseconds=999986), datetime.timedelta(seconds=40, microseconds=176)]
 list_time_off : 37 first ten : [datetime.timedelta(0), datetime.timedelta(seconds=6419, microseconds=999878), datetime.timedelta(seconds=111, microseconds=162), datetime.timedelta(seconds=61, microseconds=55), datetime.timedelta(seconds=9, microseconds=999867), datetime.timedelta(seconds=9, microseconds=58), datetime.timedelta(seconds=100, microseconds=249), datetime.timedelta(seconds=460, microseconds=107), datetime.timedelta(seconds=9, microseconds=999968), datetime.timedelta(seconds=489, microseconds=999919)]
Total on : 7859.999814999999
list_time_on
{'nb': 36, 'mean': 218.33332819444445, 'stddev': 429.7602163813713, 'min': 8.999822, 'max': 1870.000147, 'quantil_10': {'min': [9.999916], 'max': [738.999909]}, 'quantil_100': {'min': [8.999822], 'max': [1870.000147]}, 'quantil_1000': {'min': [8.999822], 'max': [1870.000147]}, 'quantil_5000': {'min': [8.999822], 'max': [1870.000147]}, 'quantil_10000': {'min': [8.999822], 'max': [1870.000147]}}


Total off : 10509.0002
list_time_off
{'nb': 37, 'mean': 284.02703243243246, 'stddev': 1039.1357821819204, 'min': 0.0, 'max': 6419.999878, 'quantil_10': {'min': [9.999867], 'max': [489.999919]}, 'quantil_100': {'min': [0.0], 'max': [6419.999878]}, 'quantil_1000': {'min': [0.0], 'max': [6419.999878]}, 'quantil_5000': {'min': [0.0], 'max': [6419.999878]}, 'quantil_10000': {'min': [0.0], 'max': [6419.999878]}}


dist_desc




begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 232
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1049293230, 2107752370, 1539)
...
 last line : (1049318362, 2107752370, 1539)
time used for this insertion : 0.13802862167358398
  photos_removed : len 115
 elapsed_time : remove_photo_duplicate 0.2196202278137207

 Creating list_photo_total 

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX elapsed_time : count_sum_diff_and_build_graph 0.035941362380981445
 Total photos : 232
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
....can't find max_score_info
.....can't find max_score_info
.can't find max_score_info
...Change port : 10 hashtag : 2107750911   photo_id =1049308384 : rungis_plastique_fonce
..can't find max_score_info
...can't find max_score_info
....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
....can't find max_score_info
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.....Change port : 25 hashtag : 2107750908   photo_id =1049311795 : rungis_papier
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...Change port : 4 hashtag : 2107750911   photo_id =1049311961 : rungis_plastique_fonce
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 1 hashtag : 2107750908   photo_id =1049312208 : rungis_papier
.....Change port : 5 hashtag : 2107750911   photo_id =1049312420 : rungis_plastique_fonce
.Change port : 1 hashtag : 2107750908   photo_id =1049312422 : rungis_papier
..can't find max_score_info
.can't find max_score_info
.Change port : 2 hashtag : 2107750911   photo_id =1049312438 : rungis_plastique_fonce
....can't find max_score_info
...can't find max_score_info
.can't find max_score_info
....can't find max_score_info
.can't find max_score_info
....Change port : 12 hashtag : 2107750908   photo_id =1049312556 : rungis_papier
.can't find max_score_info
..can't find max_score_info
.....can't find max_score_info
.can't find max_score_info
...Change port : 8 hashtag : 2107750911   photo_id =1049312984 : rungis_plastique_fonce
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.........can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 17 hashtag : 2107751280   photo_id =1049317359 : rungis_aluminium
.can't find max_score_info
.can't find max_score_info
....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...Change port : 8 hashtag : 2107750913   photo_id =1049317524 : rungis_tetrapak
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 2 hashtag : 2107750911   photo_id =1049318212 : rungis_plastique_fonce
.can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
..........Change port : 12 hashtag : 2107750908   photo_id =1049318287 : rungis_papier
...can't find max_score_info
..Change port : 4 hashtag : 2107750911   photo_id =1049318294 : rungis_plastique_fonce
.can't find max_score_info
.can't find max_score_info
.....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.
 Total photos : 232
Number of lists : 15
counter photos in port : 117
 hashtag : rungis_aluminium(2107751280) : 8 photos in 1 portfolios !
 hashtag : rungis_carton(2107750907) : 0 photos in 0 portfolios !
 hashtag : rungis_papier(2107750908) : 33 photos in 6 portfolios !
 hashtag : rungis_plastique_clair(2107750909) : 0 photos in 0 portfolios !
 hashtag : rungis_plastique_dur(2107750910) : 0 photos in 0 portfolios !
 hashtag : rungis_plastique_fonce(2107750911) : 74 photos in 7 portfolios !
 hashtag : rungis_tapis_vide(2107750912) : 0 photos in 0 portfolios !
 hashtag : rungis_tetrapak(2107750913) : 2 photos in 1 portfolios !
 elapsed_time : group_photo_by_moyenne_exp 0.006499052047729492
 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 1.9073486328125e-06
today str has not a value , we define it as the date of the first image
todaystr_first : 07092021
attention , prev_timestamp is 0 , we do nothing
*******o**
BIG TIME 550.0000100135803 (11.000229120254517, 2, 0, 0, 0.979349, 0, 0, 0, 0, 0, 0.8199999980926513, 0.0012, 0.0008999778032302856, 2.9, 0.11100016188621521, -0.0) on 3 1049307693 2021-09-07 07:45:54.010041 id_data : 12  

*
BIG TIME 168.99982810020447 (11.000229120254517, 2, 0, 0, 0.979349, 0, 0, 0, 0, 0, 0.8199999980926513, 0.0012, 0.0008999778032302856, 2.9, 0.11100016188621521, -0.0) on 3 1049308235 2021-09-07 07:48:43.009869 id_data : 13  

**
BIG TIME 499.9998118877411 (191.00026988983154, 2, 0, 0, 0.93498826, 0, 0, 0, 0, 0, 0.9018999995946884, 0.002, 0.002999984407424927, 2.9, 0.019000051021575926, -0.01666705330212911) on 7 1049309345 2021-09-07 07:58:43.009858 id_data : 20  

*
BIG TIME 371.0001440048218 (271.00081276893616, 5, 0.24365342, 0, 0, 0, 0, 0.38418204, 0, 0.34177557, 0.9720000085830689, 0.0041, 0.014999971222877502, 2.9, 0.061000473976135255, -0.2516670016447703) on 15 1049310132 2021-09-07 08:09:54.010082 id_data : 51  

*
BIG TIME 461.0001001358032 (301.0006546974182, 0, 0.5752453, 0, 0, 0, 0, 0, 0, 0, 1.0228999980926514, 0.0056, 0.02589997522830963, 2.9, 0.009999968051910401, -0.0) on 18 1049310905 2021-09-07 08:18:54.009936 id_data : 60  

*
BIG TIME 370.0001759529114 (359.0003435611725, 5, 0, 0, 0, 0, 0, 0.85983855, 0, 0, 1.0898999773979188, 0.0078, 0.04109999623298645, 2.9, 0.008999762058258056, -0.0) on 24 1049311767 2021-09-07 08:28:24.010105 id_data : 81  

***
BIG TIME 411.0001149177551 (557.9999935626984, 2, 0, 0, 0.66983944, 0, 0, 0, 0, 0, 1.1558999848842622, 0.0094, 0.050199996829032895, 2.9, 0.00900000500679016, -0.0) on 32 1049312208 2021-09-07 08:40:04.010052 id_data : 97  

*
BIG TIME 549.9999330043793 (557.9999935626984, 2, 0, 0, 0.66983944, 0, 0, 0, 0, 0, 1.1558999848842622, 0.0094, 0.050199996829032895, 2.9, 0.00900000500679016, -0.0) on 32 1049312363 2021-09-07 08:49:14.009985 id_data : 98  

**
BIG TIME 168.99987387657166 (867.0004575252533, 2, 0, 0, 0.5498895, 0, 0, 0, 0, 0.29987606, 1.293000004196167, 0.0123, 0.06009994525909424, 0.9, 0.011000201940536499, -0.0) on 49 1049312508 2021-09-07 08:58:23.009966 id_data : 123  

*
BIG TIME 259.99999809265137 (867.0004575252533, 2, 0, 0, 0.5498895, 0, 0, 0, 0, 0.29987606, 1.293000004196167, 0.0123, 0.06009994525909424, 0.9, 0.011000201940536499, -0.0) on 49 1049312556 2021-09-07 09:02:43.009964 id_data : 124  

*
BIG TIME 190.00016593933105 (929.000762462616, 5, 0, 0, 0.44379362, 0, 0, 0.54574114, 0, 0, 1.3459999933004378, 0.0135, 0.06409994735717774, 2.9, 0.009999895095825195, -0.0) on 55 1049312803 2021-09-07 09:07:34.010149 id_data : 135  

*
BIG TIME 180.0000081062317 (929.000762462616, 5, 0, 0, 0.44379362, 0, 0, 0.54574114, 0, 0, 1.3459999933004378, 0.0135, 0.06409994735717774, 2.9, 0.009999895095825195, -0.0) on 55 1049312984 2021-09-07 09:10:34.010157 id_data : 136  

*
BIG TIME 1480.0000269412994 (939.0006575584412, 5, 0, 0, 0.2945285, 0, 0, 0.48689777, 0, 0.20073189, 1.3838999820947646, 0.0138, 0.06409994735717774, 2.9, 0.018999608993530273, -0.6316664799054463) on 56 1049316209 2021-09-07 09:35:23.009898 id_data : 138  

*
BIG TIME 668.9998891353607 (939.0006575584412, 5, 0, 0, 0.2945285, 0, 0, 0.48689777, 0, 0.20073189, 1.3838999820947646, 0.0138, 0.06409994735717774, 2.9, 0.018999608993530273, -0.6316664799054463) on 56 1049316332 2021-09-07 09:47:53.009987 id_data : 147  

*
BIG TIME 649.9999890327454 (1086.000019311905, 5, 0, 0, 0, 0, 0, 0.69907516, 0, 0.23055789, 1.6300000094890594, 0.0168, 0.08039999685287476, 2.9, 0.01100021505355835, -0.0) on 68 1049317197 2021-09-07 10:02:34.010134 id_data : 168  

*
BIG TIME 540.0001981258392 (1189.0002081394196, 0, 0.8074409, 0, 0, 0, 0, 0, 0, 0, 1.7199999867916107, 0.0194, 0.09519999706745148, 2.9, 0.009999808073043823, -0.0) on 78 1049318212 2021-09-07 10:16:24.010117 id_data : 198  

*
BIG TIME 190.00007104873657 (1199.0000162124634, 5, 0, 0.22708784, 0, 0, 0, 0.7244179, 0, 0, 1.781000003194809, 0.0202, 0.10109996955394746, 2.9, 0.011000241041183472, -0.0) on 79 1049318219 2021-09-07 10:20:04.010153 id_data : 202  

**Count Time bigger than 30s : 31
#Number Photos for regression : 
{'07092021': {2107751280: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 80.99965000152588, 2107751017: 0}, 2107750907: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 49.000049114227295, 2107751017: 0}, 2107750908: {2107751013: 0, 2107751014: 11.000201940536499, 2107751015: 0, 2107751016: 534.9997780323029, 2107751017: 0}, 2107750909: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107750910: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 31.000057697296143, 2107751017: 0}, 2107750911: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 564.0013737678528, 2107751017: 19.999656200408936}, 2107750912: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107750913: {2107751013: 0, 2107751014: 8.999944925308228, 2107751015: 0, 2107751016: 89.99986672401428, 2107751017: 9.999994993209839}}}
07092021|rungis_aluminium, 05102018_papier_non_papier_dense:0
07092021|rungis_aluminium, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_aluminium, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_aluminium, 05102018_papier_non_papier_tres_dense:80.99965000152588
07092021|rungis_aluminium, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_carton, 05102018_papier_non_papier_dense:0
07092021|rungis_carton, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_carton, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_carton, 05102018_papier_non_papier_tres_dense:49.000049114227295
07092021|rungis_carton, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_papier, 05102018_papier_non_papier_dense:0
07092021|rungis_papier, 05102018_papier_non_papier_peu_dense:11.000201940536499
07092021|rungis_papier, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_papier, 05102018_papier_non_papier_tres_dense:534.9997780323029
07092021|rungis_papier, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_dense:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_tres_dense:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_plastique_dur, 05102018_papier_non_papier_dense:0
07092021|rungis_plastique_dur, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_plastique_dur, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_plastique_dur, 05102018_papier_non_papier_tres_dense:31.000057697296143
07092021|rungis_plastique_dur, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_dense:0
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_tres_dense:564.0013737678528
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_tres_peu_dense:19.999656200408936
07092021|rungis_tapis_vide, 05102018_papier_non_papier_dense:0
07092021|rungis_tapis_vide, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_tapis_vide, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_tapis_vide, 05102018_papier_non_papier_tres_dense:0
07092021|rungis_tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_tetrapak, 05102018_papier_non_papier_dense:0
07092021|rungis_tetrapak, 05102018_papier_non_papier_peu_dense:8.999944925308228
07092021|rungis_tetrapak, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_tetrapak, 05102018_papier_non_papier_tres_dense:89.99986672401428
07092021|rungis_tetrapak, 05102018_papier_non_papier_tres_peu_dense:9.999994993209839
#Number Photos for regression amount gros magasin papier (time_diff then nb_photo) : 
We have not displayed the number of photos removed for one material since Rungis_Papier wasn't in the thcl used !
07092021_time_diff_distrib


 Number amount portfolio for this type of dechet :  aluminium 8
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_aluminium_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149264 with name like 07092021_aluminium_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  carton 6
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_carton_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149265 with name like 07092021_carton_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  papier 29
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_papier_05102018_papier_non_papier_peu_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149266 with name like 07092021_papier_05102018_papier_non_papier_peu_dense
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_papier_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149267 with name like 07092021_papier_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  plastique_clair 0
 Number amount portfolio for this type of dechet :  plastique_dur 2
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_plastique_dur_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149268 with name like 07092021_plastique_dur_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  plastique_fonce 42
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_plastique_fonce_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149269 with name like 07092021_plastique_fonce_05102018_papier_non_papier_tres_dense
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_plastique_fonce_05102018_papier_non_papier_tres_peu_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149270 with name like 07092021_plastique_fonce_05102018_papier_non_papier_tres_peu_dense
 Number amount portfolio for this type of dechet :  tapis_vide 0
 Number amount portfolio for this type of dechet :  tetrapak 11
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_tetrapak_05102018_papier_non_papier_peu_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149271 with name like 07092021_tetrapak_05102018_papier_non_papier_peu_dense
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_tetrapak_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149272 with name like 07092021_tetrapak_05102018_papier_non_papier_tres_dense
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_tetrapak_05102018_papier_non_papier_tres_peu_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20149273 with name like 07092021_tetrapak_05102018_papier_non_papier_tres_peu_dense
 NUMBER BATCH : 15
 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['pcnc', 'pcm', 'jrm', 'flux_dev', 'pehd_pp', 'papier', 'carton', 'plastique_dur', 'plastique_clair', 'pet_clair', 'plastique_fonce', 'tetrapak', 'aluminium', 'carton_emr', 'grands_cartons', 'gros_de_magasin', 'tapis_vide']
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_05_20_04_010050
Nombres de balles papier_diff_batch__07092021_05_20_04_010050 : 0.19500026988983155 duration : 9008.999763965607
update_text_in_photos list_photo_id_text len : 10 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c860f70>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 191.00026988983154, 3: 0, 4: 0}, 'duration': 9008.999763965607, 'nb_balles_papier': 0.19500026988983155, 'begin_time_port': 'image_07092021_05_20_04_010050m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.19500026988983155
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_07_50_23_010046
Nombres de balles plastique_fonce_diff_batch__07092021_07_50_23_010046 : 0.2299996557235718 duration : 2329.999878883362
update_text_in_photos list_photo_id_text len : 25 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c860fa0>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 25, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 225.99965572357178, 3: 0, 4: 0}, 'duration': 2329.999878883362, 'nb_balles_papier': 0.2299996557235718, 'begin_time_port': 'image_07092021_07_50_23_010046m0.jpg 0.010000231981277466 for time 10.000231981277466, id_amount 3 this amount prod time diff : 0.010000231981277466'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.2299996557235718
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_08_29_24_010122
Nombres de balles papier_diff_batch__07092021_08_29_24_010122 : 0.14100006794929504 duration : 189.9997718334198
update_text_in_photos list_photo_id_text len : 4 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765370>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 141.00006794929504, 3: 0, 4: 0}, 'duration': 189.9997718334198, 'nb_balles_papier': 0.14100006794929504, 'begin_time_port': 'image_07092021_08_29_24_010122m0.jpg 0.011000197172164917 for time 11.000197172164917, id_amount 3 this amount prod time diff : 0.011000197172164917'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.14100006794929504
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_08_32_43_009899
Nombres de balles plastique_fonce_diff_batch__07092021_08_32_43_009899 : 0.00900000500679016 duration : 0
update_text_in_photos list_photo_id_text len : 1 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765250>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 9.000005006790161, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 0.00900000500679016, 'begin_time_port': 'image'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.00900000500679016
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_08_40_04_010052
Nombres de balles papier_diff_batch__07092021_08_40_04_010052 : 0.15099991703033447 duration : 698.9998500347137
update_text_in_photos list_photo_id_text len : 5 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765940>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 148.99991703033447, 3: 0, 4: 0}, 'duration': 698.9998500347137, 'nb_balles_papier': 0.15099991703033447, 'begin_time_port': 'image_07092021_08_40_04_010052m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.15099991703033447
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_08_51_54_010119
Nombres de balles plastique_fonce_diff_batch__07092021_08_51_54_010119 : 0.011000216960906983 duration : 0
update_text_in_photos list_photo_id_text len : 1 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c7652b0>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 11.000216960906982, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 0.011000216960906983, 'begin_time_port': 'image'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.011000216960906983
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_08_52_13_009932
Nombres de balles papier_diff_batch__07092021_08_52_13_009932 : 0.0289998140335083 duration : 0
update_text_in_photos list_photo_id_text len : 2 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765040>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 28.9998140335083, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 0.0289998140335083, 'begin_time_port': 'image'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.0289998140335083
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_08_52_53_009918
Nombres de balles plastique_fonce_diff_batch__07092021_08_52_53_009918 : 0.12300071287155151 duration : 330.0000479221344
update_text_in_photos list_photo_id_text len : 12 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765370>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 1, 1: 0, 2: 11, 3: 0, 4: 0}, 'map_time_amount': {0: 11.000201940536499, 1: 0, 2: 111.00051093101501, 3: 0, 4: 0}, 'duration': 330.0000479221344, 'nb_balles_papier': 0.12300071287155151, 'begin_time_port': 'image_07092021_08_52_53_009918m0.jpg 0.01 for time 10.0, id_amount 3 this amount prod time diff : 0.01'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.12300071287155151
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_09_02_43_009964
Nombres de balles papier_diff_batch__07092021_09_02_43_009964 : 0.06299999809265137 duration : 291.0001850128174
update_text_in_photos list_photo_id_text len : 8 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765ca0>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 60.99999809265137, 3: 0, 4: 0}, 'duration': 291.0001850128174, 'nb_balles_papier': 0.06299999809265137, 'begin_time_port': 'image_07092021_09_02_43_009964m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.06299999809265137
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_09_10_34_010157
Nombres de balles plastique_fonce_diff_batch__07092021_09_10_34_010157 : 0.16199957680702212 duration : 3119.999976873398
update_text_in_photos list_photo_id_text len : 17 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765580>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 1, 1: 0, 2: 16, 3: 0, 4: 0}, 'map_time_amount': {0: 8.999944925308228, 1: 0, 2: 148.99963188171387, 3: 0, 4: 0}, 'duration': 3119.999976873398, 'nb_balles_papier': 0.16199957680702212, 'begin_time_port': 'image_07092021_09_10_34_010157m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.16199957680702212
We filter photos on hashtag condition !
Listed one port to create portfolio : aluminium_diff_batch__07092021_10_03_24_009930
Nombres de balles aluminium_diff_batch__07092021_10_03_24_009930 : 0.08200012373924254 duration : 150.00017404556274
update_text_in_photos list_photo_id_text len : 8 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765700>
None
result_one_balle_Type_aluminium:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 7, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 72.00012874603271, 3: 9.999994993209839, 4: 0}, 'duration': 150.00017404556274, 'nb_balles_papier': 0.08200012373924254, 'begin_time_port': 'image_07092021_10_03_24_009930m0.jpg 0.009999775886535644 for time 9.999775886535645, id_amount 3 this amount prod time diff : 0.009999775886535644'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.08200012373924254
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : tetrapak_diff_batch__07092021_10_06_04_009954
Nombres de balles tetrapak_diff_batch__07092021_10_06_04_009954 : 0.01999965810775757 duration : 0
update_text_in_photos list_photo_id_text len : 2 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765eb0>
None
result_one_balle_Type_tetrapak:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 19.99965810775757, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 0.01999965810775757, 'begin_time_port': 'image'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.01999965810775757
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_10_16_24_010117
Nombres de balles plastique_fonce_diff_batch__07092021_10_16_24_010117 : 0.10300015306472779 duration : 428.99973487854004
update_text_in_photos list_photo_id_text len : 12 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765760>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 10, 3: 2, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 81.00049686431885, 3: 19.999656200408936, 4: 0}, 'duration': 428.99973487854004, 'nb_balles_papier': 0.10300015306472779, 'begin_time_port': 'image_07092021_10_16_24_010117m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.10300015306472779
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_10_23_44_010139
Nombres de balles papier_diff_batch__07092021_10_23_44_010139 : 0.04000009298324585 duration : 38.99979090690613
update_text_in_photos list_photo_id_text len : 4 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c7653d0>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 40.00009298324585, 3: 0, 4: 0}, 'duration': 38.99979090690613, 'nb_balles_papier': 0.04000009298324585, 'begin_time_port': 'image_07092021_10_23_44_010139m0.jpg 0.011000287055969239 for time 11.000287055969238, id_amount 3 this amount prod time diff : 0.011000287055969239'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.04000009298324585
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_10_24_34_010156
Nombres de balles plastique_fonce_diff_batch__07092021_10_24_34_010156 : 0.060000311136245724 duration : 98.99990916252136
update_text_in_photos list_photo_id_text len : 6 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c765e80>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 60.00031113624573, 3: 0, 4: 0}, 'duration': 98.99990916252136, 'nb_balles_papier': 0.060000311136245724, 'begin_time_port': 'image_07092021_10_24_34_010156m0.jpg 0.011000226020812989 for time 11.000226020812988, id_amount 3 this amount prod time diff : 0.011000226020812989'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.060000311136245724
We filter photos on hashtag condition !
We have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 15
list_same_port_ids : [13545772]


 find same portfolio which already exist 13545772 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545772 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545772 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545774]


 find same portfolio which already exist 13545774 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545774 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545774 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545777]


 find same portfolio which already exist 13545777 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545777 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545777 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [5570414]


 find same portfolio which already exist 5570414 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 5570414 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=5570414 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545779]


 find same portfolio which already exist 13545779 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545779 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545779 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545780]


 find same portfolio which already exist 13545780 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545780 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545780 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545783]


 find same portfolio which already exist 13545783 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545783 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545783 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545785]


 find same portfolio which already exist 13545785 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545785 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545785 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545787]


 find same portfolio which already exist 13545787 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545787 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545787 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545788]


 find same portfolio which already exist 13545788 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545788 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545788 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543473]


 find same portfolio which already exist 13543473 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543473 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543473 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543474]


 find same portfolio which already exist 13543474 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543474 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543474 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543475]


 find same portfolio which already exist 13543475 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543475 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543475 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543476]


 find same portfolio which already exist 13543476 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543476 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543476 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543477]


 find same portfolio which already exist 13543477 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543477 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543477 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545772
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545772
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=370
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
INSERT into MTRPhoto.mtr_datou_current (mtd_id, mtr_portfolio_id, mtr_user_id) VALUES (370,13545772,739) ON DUPLICATE KEY UPDATE backup = backup + 1
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545772 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545772
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______papier',
'2021-09-07 05:20:04.010050', '2021-09-07 07:50:13.009814',
10, 13545772,
-1, -1,
'-1', "{'max_time_prod_two_photos': 111.00016188621521}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545774
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384716, 'mtr_portfolio_id': 13545774, 'created_at': datetime.datetime(2024, 11, 20, 23, 53, 57), 'result': '0.005814130015432098', 'result_long': None, 'result_double': None}]
Qualite : 0.005814130015432098
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545774 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545774 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______plastique_fonce',
'2021-09-07 07:50:23.010046', '2021-09-07 08:29:13.009925',
25, 13545774,
0.005814130015432098, 2384716,
'-1', "{'max_time_prod_two_photos': 29.999945163726807, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545774_21-11-2024_04_22_16.pdf', 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644096, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644097, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644098, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644099, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644100, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644101, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644102, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644103, 'pht': 4199}, 'ela': {'hashtag': 'ela', 'sub_port_id': 13644104, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644105, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644106, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644107, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644108, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644109, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545777
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 370, 'mtr_datou_current_id': 2384717, 'mtr_portfolio_id': 13545777, 'created_at': datetime.datetime(2024, 11, 20, 23, 51, 48), 'result': '0.1888521086140681', 'result_long': None, 'result_double': None}]
Qualite : 0.1888521086140681
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545777 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545777
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______papier',
'2021-09-07 08:29:24.010122', '2021-09-07 08:32:34.009894',
4, 13545777,
0.1888521086140681, 2384717,
'-1', "{'max_time_prod_two_photos': 61.00024700164795}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 5570414
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384718, 'mtr_portfolio_id': 5570414, 'created_at': datetime.datetime(2024, 11, 21, 0, 1, 16), 'result': '0.007415846836419753', 'result_long': None, 'result_double': None}]
Qualite : 0.007415846836419753
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 5570414 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=5570414 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______plastique_fonce',
'2021-09-07 08:32:43.009899', '2021-09-07 08:32:43.009899',
1, 5570414,
0.007415846836419753, 2384718,
'-1', "{'max_time_prod_two_photos': 9.000005006790161, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P5570414_21-11-2024_00_01_20.pdf', 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 5570430, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 5570431, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 5570432, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 5570433, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 5570434, 'pht': 4199}, 'ela': {'hashtag': 'ela', 'sub_port_id': 5570435, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 5570436, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 5570437, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 5570438, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 5570439, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 5570440, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 5570441, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 5570442, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 5570443, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545779
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545779
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=370
                    ORDER BY created_at desc LIMIT 1
select value from MTRUser.portfolio_carac_ratio where portfolio_id = 
                            13545779 
                            and created_at >= (
                            SELECT min(created_at)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545779
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=370
                            )and created_at < (
                            SELECT addtime(max(created_at),100)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545779
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=370
                            ) order by value desc
                        
 list_result_datou : []
INSERT into MTRPhoto.mtr_datou_current (mtd_id, mtr_portfolio_id, mtr_user_id) VALUES (370,13545779,739) ON DUPLICATE KEY UPDATE backup = backup + 1
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545779 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545779
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______papier',
'2021-09-07 08:40:04.010052', '2021-09-07 08:51:43.009902',
5, 13545779,
-1, -1,
'-1', "{'max_time_prod_two_photos': 119.00011491775513}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545780
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545780
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=3979
                    ORDER BY created_at desc LIMIT 1
select value from MTRUser.portfolio_carac_ratio where portfolio_id = 
                            13545780 
                            and created_at >= (
                            SELECT min(created_at)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545780
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=3979
                            )and created_at < (
                            SELECT addtime(max(created_at),100)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545780
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=3979
                            ) order by value desc
                        
 list_result_datou : []
INSERT into MTRPhoto.mtr_datou_current (mtd_id, mtr_portfolio_id, mtr_user_id) VALUES (3979,13545780,739) ON DUPLICATE KEY UPDATE backup = backup + 1
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545780 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545780 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______plastique_fonce',
'2021-09-07 08:51:54.010119', '2021-09-07 08:51:54.010119',
1, 13545780,
-1, -1,
'-1', "{'max_time_prod_two_photos': 11.000216960906982, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545780_23-01-2025_12_31_57.pdf', 'ela': {'hashtag': 'ela', 'sub_port_id': 13644047, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644048, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644049, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644050, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644051, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644052, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644053, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644054, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644055, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644056, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644057, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644058, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644059, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644060, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545783
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545783
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=370
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545783 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545783
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______papier',
'2021-09-07 08:52:13.009932', '2021-09-07 08:52:23.009933',
2, 13545783,
-1, -1,
'-1', "{'max_time_prod_two_photos': 18.999813079833984}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545785
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384720, 'mtr_portfolio_id': 13545785, 'created_at': datetime.datetime(2024, 11, 21, 0, 23, 50), 'result': '0.00907640496399177', 'result_long': None, 'result_double': None}]
Qualite : 0.00907640496399177
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545785 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545785 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______plastique_fonce',
'2021-09-07 08:52:53.009918', '2021-09-07 08:58:23.009966',
12, 13545785,
0.00907640496399177, 2384720,
'-1', "{'max_time_prod_two_photos': 20.00016689300537, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545785_21-11-2024_00_23_50.pdf', 'ela': {'hashtag': 'ela', 'sub_port_id': 13644079, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644080, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644081, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644082, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644083, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644084, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644085, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644086, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644087, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644088, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644089, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644090, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644091, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644092, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545787
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545787
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=370
                    ORDER BY created_at desc LIMIT 1
select value from MTRUser.portfolio_carac_ratio where portfolio_id = 
                            13545787 
                            and created_at >= (
                            SELECT min(created_at)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545787
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=370
                            )and created_at < (
                            SELECT addtime(max(created_at),100)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545787
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=370
                            ) order by value desc
                        
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545787 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545787
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______papier',
'2021-09-07 09:02:43.009964', '2021-09-07 09:07:34.010149',
8, 13545787,
-1, -1,
'-1', "{'max_time_prod_two_photos': 11.000171899795532}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545788
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384721, 'mtr_portfolio_id': 13545788, 'created_at': datetime.datetime(2024, 11, 21, 0, 29, 37), 'result': '0.01485129824918373', 'result_long': None, 'result_double': None}]
Qualite : 0.01485129824918373
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545788 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545788 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______plastique_fonce',
'2021-09-07 09:10:34.010157', '2021-09-07 10:02:34.010134',
17, 13545788,
0.01485129824918373, 2384721,
'-1', "{'max_time_prod_two_photos': 21.00007677078247, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545788_21-11-2024_00_29_38.pdf', 'ela': {'hashtag': 'ela', 'sub_port_id': 13644062, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644063, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644064, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644065, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644066, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644067, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644068, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644069, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644070, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644071, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644072, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644073, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644074, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644075, 'pht': 4199}}"
);
select url from MTRUser.mtr_files where mtd_id = 0 and mtr_portfolio_id = 13543473 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture !
WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543473
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______aluminium',
'2021-09-07 10:03:24.009930', '2021-09-07 10:05:54.010104',
8, 13543473,
-1, -1,
'-1', "{'max_time_prod_two_photos': 11.00031304359436}"
);
select url from MTRUser.mtr_files where mtd_id = 0 and mtr_portfolio_id = 13543474 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture !
WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543474
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______tetrapak',
'2021-09-07 10:06:04.009954', '2021-09-07 10:06:44.009918',
2, 13543474,
-1, -1,
'-1', "{'max_time_prod_two_photos': 9.999850034713745}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13543475
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384722, 'mtr_portfolio_id': 13543475, 'created_at': datetime.datetime(2024, 11, 21, 0, 33, 35), 'result': '0.003848153410463827', 'result_long': None, 'result_double': None}]
Qualite : 0.003848153410463827
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13543475 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543475 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______plastique_fonce',
'2021-09-07 10:16:24.010117', '2021-09-07 10:23:33.009852',
12, 13543475,
0.003848153410463827, 2384722,
'-1', "{'max_time_prod_two_photos': 11.000241041183472, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13543475_21-11-2024_00_33_36.pdf', 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13648411, 'pht': 4199}, 'ela': {'hashtag': 'ela', 'sub_port_id': 13648412, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13648413, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13648414, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13648415, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13648416, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13648417, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13648418, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13648419, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13648420, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13648421, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13648422, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13648423, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13648424, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13543476
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 370, 'mtr_datou_current_id': 2384723, 'mtr_portfolio_id': 13543476, 'created_at': datetime.datetime(2024, 11, 21, 0, 42, 12), 'result': '0.11478003563407302', 'result_long': None, 'result_double': None}]
Qualite : 0.11478003563407302
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13543476 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543476
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______papier',
'2021-09-07 10:23:44.010139', '2021-09-07 10:24:23.009930',
4, 13543476,
0.11478003563407302, 2384723,
'-1', "{'max_time_prod_two_photos': 11.000287055969238}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13543477
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384724, 'mtr_portfolio_id': 13543477, 'created_at': datetime.datetime(2024, 11, 21, 0, 52, 17), 'result': '0.019897576026366652', 'result_long': None, 'result_double': None}]
Qualite : 0.019897576026366652
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13543477 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543477 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579500, '_______plastique_fonce',
'2021-09-07 10:24:34.010156', '2021-09-07 10:26:13.010065',
6, 13543477,
0.019897576026366652, 2384724,
'-1', "{'max_time_prod_two_photos': 11.000226020812988, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13543477_21-11-2024_00_52_17.pdf', 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13648396, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13648397, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13648398, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13648399, 'pht': 4199}, 'ela': {'hashtag': 'ela', 'sub_port_id': 13648400, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13648401, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13648402, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13648403, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13648404, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13648405, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13648406, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13648407, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13648408, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13648409, 'pht': 4199}}"
);
 elapsed_time : count_nb_balles_and_create_portfolio 26.944342136383057
# DISPLAY ALL COLLECTED DATA : 
{'07092021': {'nb_upload': 232, 'nb_taggue_class': 232, 'nb_taggue_densite': 232, 'nb_descriptors': 232, 'number_port': 15, 'count_photo_in_port': 117, 'nb_port_per_class': {'rungis_aluminium': {'nb_photos': 8, 'nb_portfolios': 1}, 'rungis_carton': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_papier': {'nb_photos': 33, 'nb_portfolios': 6}, 'rungis_plastique_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_dur': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_fonce': {'nb_photos': 74, 'nb_portfolios': 7}, 'rungis_tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_tetrapak': {'nb_photos': 2, 'nb_portfolios': 1}}}}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 48.011276960372925
time spend to save output : 7.62939453125e-05
total time spend for step 1 : 48.01135325431824

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]
 map_info['map_portfolio_photo'] : {4599398: [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]}
 final :  True mtd_id 3789 list_pids : [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]
Looping around the photos to save general results
len do output : 1
/4599398Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d9c2ef4c0>
Managing all output in save final without adding information in the mtr_datou_result 
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318362', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318360', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318358', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318356', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318342', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318339', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318337', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318311', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318310', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318309', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318294', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318293', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318291', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318289', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318288', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318287', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318279', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318276', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318273', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318271', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318268', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318265', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318260', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318257', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318253', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318250', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318247', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318246', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318222', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318219', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318216', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318214', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318213', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318212', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317554', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317551', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317549', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317546', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317542', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317536', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317526', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317525', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317524', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317522', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317520', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317517', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317497', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317493', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317491', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317489', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317487', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317485', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317468', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317461', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317457', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317453', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317444', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317440', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317359', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317333', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317282', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317225', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317210', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317197', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316790', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316785', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316782', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316778', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316752', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316749', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316610', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316600', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316597', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316594', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316588', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316582', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316545', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316543', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316540', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316537', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316534', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316520', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316338', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316336', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316332', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316331', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316257', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316255', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316222', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316216', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316214', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316212', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316210', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316209', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049313025', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312984', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312803', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312588', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312585', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312583', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312579', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312574', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312573', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312571', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312568', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312566', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312562', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312556', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312508', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312489', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312488', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312487', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312485', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312484', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312464', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312463', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312462', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312461', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312460', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312449', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312445', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312444', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312442', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312440', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312438', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312429', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312426', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312424', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312422', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312420', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312409', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312406', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312404', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312363', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312208', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311964', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311963', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311962', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311961', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311960', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311943', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311938', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311937', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311935', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311934', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311932', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311795', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311793', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311791', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311771', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311767', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311267', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311266', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311263', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311252', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311199', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311136', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311073', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311009', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311006', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310994', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310992', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310991', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310984', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310982', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310981', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310919', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310914', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310911', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310909', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310907', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310905', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310165', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310162', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310159', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310145', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310141', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310139', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310138', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310134', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310132', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309737', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309734', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309732', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309706', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309703', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309701', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309686', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309681', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309677', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309675', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309672', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309670', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309658', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309657', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309656', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309655', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309653', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309651', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309605', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309603', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309599', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309597', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309595', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309592', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309385', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309383', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309382', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309381', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309380', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309379', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309345', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308384', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308381', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308376', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308280', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308276', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308275', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308235', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049307693', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306823', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306804', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306792', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306791', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306635', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306205', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049304810', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049303925', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049296996', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049296121', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049294990', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049293230', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 233
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3789', None, '4599398', 'None', None, None, None, None, None), ('3789', '4599398', '1049318362', None, None, None, None, None, None), ('3789', '4599398', '1049318360', None, None, None, None, None, None), ('3789', '4599398', '1049318358', None, None, None, None, None, None), ('3789', '4599398', '1049318356', None, None, None, None, None, None), ('3789', '4599398', '1049318342', None, None, None, None, None, None), ('3789', '4599398', '1049318339', None, None, None, None, None, None), ('3789', '4599398', '1049318337', None, None, None, None, None, None), ('3789', '4599398', '1049318311', None, None, None, None, None, None), ('3789', '4599398', '1049318310', None, None, None, None, None, None), ('3789', '4599398', '1049318309', None, None, None, None, None, None), ('3789', '4599398', '1049318294', None, None, None, None, None, None), ('3789', '4599398', '1049318293', None, None, None, None, None, None), ('3789', '4599398', '1049318291', None, None, None, None, None, None), ('3789', '4599398', '1049318289', None, None, None, None, None, None), ('3789', '4599398', '1049318288', None, None, None, None, None, None), ('3789', '4599398', '1049318287', None, None, None, None, None, None), ('3789', '4599398', '1049318279', None, None, None, None, None, None), ('3789', '4599398', '1049318276', None, None, None, None, None, None), ('3789', '4599398', '1049318273', None, None, None, None, None, None), ('3789', '4599398', '1049318271', None, None, None, None, None, None), ('3789', '4599398', '1049318268', None, None, None, None, None, None), ('3789', '4599398', '1049318265', None, None, None, None, None, None), ('3789', '4599398', '1049318260', None, None, None, None, None, None), ('3789', '4599398', '1049318257', None, None, None, None, None, None), ('3789', '4599398', '1049318253', None, None, None, None, None, None), ('3789', '4599398', '1049318250', None, None, None, None, None, None), ('3789', '4599398', '1049318247', None, None, None, None, None, None), ('3789', '4599398', '1049318246', None, None, None, None, None, None), ('3789', '4599398', '1049318222', None, None, None, None, None, None), ('3789', '4599398', '1049318219', None, None, None, None, None, None), ('3789', '4599398', '1049318216', None, None, None, None, None, None), ('3789', '4599398', '1049318214', None, None, None, None, None, None), ('3789', '4599398', '1049318213', None, None, None, None, None, None), ('3789', '4599398', '1049318212', None, None, None, None, None, None), ('3789', '4599398', '1049317554', None, None, None, None, None, None), ('3789', '4599398', '1049317551', None, None, None, None, None, None), ('3789', '4599398', '1049317549', None, None, None, None, None, None), ('3789', '4599398', '1049317546', None, None, None, None, None, None), ('3789', '4599398', '1049317542', None, None, None, None, None, None), ('3789', '4599398', '1049317536', None, None, None, None, None, None), ('3789', '4599398', '1049317526', None, None, None, None, None, None), ('3789', '4599398', '1049317525', None, None, None, None, None, None), ('3789', '4599398', '1049317524', None, None, None, None, None, None), ('3789', '4599398', '1049317522', None, None, None, None, None, None), ('3789', '4599398', '1049317520', None, None, None, None, None, None), ('3789', '4599398', '1049317517', None, None, None, None, None, None), ('3789', '4599398', '1049317497', None, None, None, None, None, None), ('3789', '4599398', '1049317493', None, None, None, None, None, None), ('3789', '4599398', '1049317491', None, None, None, None, None, None), ('3789', '4599398', '1049317489', None, None, None, None, None, None), ('3789', '4599398', '1049317487', None, None, None, None, None, None), ('3789', '4599398', '1049317485', None, None, None, None, None, None), ('3789', '4599398', '1049317468', None, None, None, None, None, None), ('3789', '4599398', '1049317461', None, None, None, None, None, None), ('3789', '4599398', '1049317457', None, None, None, None, None, None), ('3789', '4599398', '1049317453', None, None, None, None, None, None), ('3789', '4599398', '1049317444', None, None, None, None, None, None), ('3789', '4599398', '1049317440', None, None, None, None, None, None), ('3789', '4599398', '1049317359', None, None, None, None, None, None), ('3789', '4599398', '1049317333', None, None, None, None, None, None), ('3789', '4599398', '1049317282', None, None, None, None, None, None), ('3789', '4599398', '1049317225', None, None, None, None, None, None), ('3789', '4599398', '1049317210', None, None, None, None, None, None), ('3789', '4599398', '1049317197', None, None, None, None, None, None), ('3789', '4599398', '1049316790', None, None, None, None, None, None), ('3789', '4599398', '1049316785', None, None, None, None, None, None), ('3789', '4599398', '1049316782', None, None, None, None, None, None), ('3789', '4599398', '1049316778', None, None, None, None, None, None), ('3789', '4599398', '1049316752', None, None, None, None, None, None), ('3789', '4599398', '1049316749', None, None, None, None, None, None), ('3789', '4599398', '1049316610', None, None, None, None, None, None), ('3789', '4599398', '1049316600', None, None, None, None, None, None), ('3789', '4599398', '1049316597', None, None, None, None, None, None), ('3789', '4599398', '1049316594', None, None, None, None, None, None), ('3789', '4599398', '1049316588', None, None, None, None, None, None), ('3789', '4599398', '1049316582', None, None, None, None, None, None), ('3789', '4599398', '1049316545', None, None, None, None, None, None), ('3789', '4599398', '1049316543', None, None, None, None, None, None), ('3789', '4599398', '1049316540', None, None, None, None, None, None), ('3789', '4599398', '1049316537', None, None, None, None, None, None), ('3789', '4599398', '1049316534', None, None, None, None, None, None), ('3789', '4599398', '1049316520', None, None, None, None, None, None), ('3789', '4599398', '1049316338', None, None, None, None, None, None), ('3789', '4599398', '1049316336', None, None, None, None, None, None), ('3789', '4599398', '1049316332', None, None, None, None, None, None), ('3789', '4599398', '1049316331', None, None, None, None, None, None), ('3789', '4599398', '1049316257', None, None, None, None, None, None), ('3789', '4599398', '1049316255', None, None, None, None, None, None), ('3789', '4599398', '1049316222', None, None, None, None, None, None), ('3789', '4599398', '1049316216', None, None, None, None, None, None), ('3789', '4599398', '1049316214', None, None, None, None, None, None), ('3789', '4599398', '1049316212', None, None, None, None, None, None), ('3789', '4599398', '1049316210', None, None, None, None, None, None), ('3789', '4599398', '1049316209', None, None, None, None, None, None), ('3789', '4599398', '1049313025', None, None, None, None, None, None), ('3789', '4599398', '1049312984', None, None, None, None, None, None), ('3789', '4599398', '1049312803', None, None, None, None, None, None), ('3789', '4599398', '1049312588', None, None, None, None, None, None), ('3789', '4599398', '1049312585', None, None, None, None, None, None), ('3789', '4599398', '1049312583', None, None, None, None, None, None), ('3789', '4599398', '1049312579', None, None, None, None, None, None), ('3789', '4599398', '1049312574', None, None, None, None, None, None), ('3789', '4599398', '1049312573', None, None, None, None, None, None), ('3789', '4599398', '1049312571', None, None, None, None, None, None), ('3789', '4599398', '1049312568', None, None, None, None, None, None), ('3789', '4599398', '1049312566', None, None, None, None, None, None), ('3789', '4599398', '1049312562', None, None, None, None, None, None), ('3789', '4599398', '1049312556', None, None, None, None, None, None), ('3789', '4599398', '1049312508', None, None, None, None, None, None), ('3789', '4599398', '1049312489', None, None, None, None, None, None), ('3789', '4599398', '1049312488', None, None, None, None, None, None), ('3789', '4599398', '1049312487', None, None, None, None, None, None), ('3789', '4599398', '1049312485', None, None, None, None, None, None), ('3789', '4599398', '1049312484', None, None, None, None, None, None), ('3789', '4599398', '1049312464', None, None, None, None, None, None), ('3789', '4599398', '1049312463', None, None, None, None, None, None), ('3789', '4599398', '1049312462', None, None, None, None, None, None), ('3789', '4599398', '1049312461', None, None, None, None, None, None), ('3789', '4599398', '1049312460', None, None, None, None, None, None), ('3789', '4599398', '1049312449', None, None, None, None, None, None), ('3789', '4599398', '1049312445', None, None, None, None, None, None), ('3789', '4599398', '1049312444', None, None, None, None, None, None), ('3789', '4599398', '1049312442', None, None, None, None, None, None), ('3789', '4599398', '1049312440', None, None, None, None, None, None), ('3789', '4599398', '1049312438', None, None, None, None, None, None), ('3789', '4599398', '1049312429', None, None, None, None, None, None), ('3789', '4599398', '1049312426', None, None, None, None, None, None), ('3789', '4599398', '1049312424', None, None, None, None, None, None), ('3789', '4599398', '1049312422', None, None, None, None, None, None), ('3789', '4599398', '1049312420', None, None, None, None, None, None), ('3789', '4599398', '1049312409', None, None, None, None, None, None), ('3789', '4599398', '1049312406', None, None, None, None, None, None), ('3789', '4599398', '1049312404', None, None, None, None, None, None), ('3789', '4599398', '1049312363', None, None, None, None, None, None), ('3789', '4599398', '1049312208', None, None, None, None, None, None), ('3789', '4599398', '1049311964', None, None, None, None, None, None), ('3789', '4599398', '1049311963', None, None, None, None, None, None), ('3789', '4599398', '1049311962', None, None, None, None, None, None), ('3789', '4599398', '1049311961', None, None, None, None, None, None), ('3789', '4599398', '1049311960', None, None, None, None, None, None), ('3789', '4599398', '1049311943', None, None, None, None, None, None), ('3789', '4599398', '1049311938', None, None, None, None, None, None), ('3789', '4599398', '1049311937', None, None, None, None, None, None), ('3789', '4599398', '1049311935', None, None, None, None, None, None), ('3789', '4599398', '1049311934', None, None, None, None, None, None), ('3789', '4599398', '1049311932', None, None, None, None, None, None), ('3789', '4599398', '1049311795', None, None, None, None, None, None), ('3789', '4599398', '1049311793', None, None, None, None, None, None), ('3789', '4599398', '1049311791', None, None, None, None, None, None), ('3789', '4599398', '1049311771', None, None, None, None, None, None), ('3789', '4599398', '1049311767', None, None, None, None, None, None), ('3789', '4599398', '1049311267', None, None, None, None, None, None), ('3789', '4599398', '1049311266', None, None, None, None, None, None), ('3789', '4599398', '1049311263', None, None, None, None, None, None), ('3789', '4599398', '1049311252', None, None, None, None, None, None), ('3789', '4599398', '1049311199', None, None, None, None, None, None), ('3789', '4599398', '1049311136', None, None, None, None, None, None), ('3789', '4599398', '1049311073', None, None, None, None, None, None), ('3789', '4599398', '1049311009', None, None, None, None, None, None), ('3789', '4599398', '1049311006', None, None, None, None, None, None), ('3789', '4599398', '1049310994', None, None, None, None, None, None), ('3789', '4599398', '1049310992', None, None, None, None, None, None), ('3789', '4599398', '1049310991', None, None, None, None, None, None), ('3789', '4599398', '1049310984', None, None, None, None, None, None), ('3789', '4599398', '1049310982', None, None, None, None, None, None), ('3789', '4599398', '1049310981', None, None, None, None, None, None), ('3789', '4599398', '1049310919', None, None, None, None, None, None), ('3789', '4599398', '1049310914', None, None, None, None, None, None), ('3789', '4599398', '1049310911', None, None, None, None, None, None), ('3789', '4599398', '1049310909', None, None, None, None, None, None), ('3789', '4599398', '1049310907', None, None, None, None, None, None), ('3789', '4599398', '1049310905', None, None, None, None, None, None), ('3789', '4599398', '1049310165', None, None, None, None, None, None), ('3789', '4599398', '1049310162', None, None, None, None, None, None), ('3789', '4599398', '1049310159', None, None, None, None, None, None), ('3789', '4599398', '1049310145', None, None, None, None, None, None), ('3789', '4599398', '1049310141', None, None, None, None, None, None), ('3789', '4599398', '1049310139', None, None, None, None, None, None), ('3789', '4599398', '1049310138', None, None, None, None, None, None), ('3789', '4599398', '1049310134', None, None, None, None, None, None), ('3789', '4599398', '1049310132', None, None, None, None, None, None), ('3789', '4599398', '1049309737', None, None, None, None, None, None), ('3789', '4599398', '1049309734', None, None, None, None, None, None), ('3789', '4599398', '1049309732', None, None, None, None, None, None), ('3789', '4599398', '1049309706', None, None, None, None, None, None), ('3789', '4599398', '1049309703', None, None, None, None, None, None), ('3789', '4599398', '1049309701', None, None, None, None, None, None), ('3789', '4599398', '1049309686', None, None, None, None, None, None), ('3789', '4599398', '1049309681', None, None, None, None, None, None), ('3789', '4599398', '1049309677', None, None, None, None, None, None), ('3789', '4599398', '1049309675', None, None, None, None, None, None), ('3789', '4599398', '1049309672', None, None, None, None, None, None), ('3789', '4599398', '1049309670', None, None, None, None, None, None), ('3789', '4599398', '1049309658', None, None, None, None, None, None), ('3789', '4599398', '1049309657', None, None, None, None, None, None), ('3789', '4599398', '1049309656', None, None, None, None, None, None), ('3789', '4599398', '1049309655', None, None, None, None, None, None), ('3789', '4599398', '1049309653', None, None, None, None, None, None), ('3789', '4599398', '1049309651', None, None, None, None, None, None), ('3789', '4599398', '1049309605', None, None, None, None, None, None), ('3789', '4599398', '1049309603', None, None, None, None, None, None), ('3789', '4599398', '1049309599', None, None, None, None, None, None), ('3789', '4599398', '1049309597', None, None, None, None, None, None), ('3789', '4599398', '1049309595', None, None, None, None, None, None), ('3789', '4599398', '1049309592', None, None, None, None, None, None), ('3789', '4599398', '1049309385', None, None, None, None, None, None), ('3789', '4599398', '1049309383', None, None, None, None, None, None), ('3789', '4599398', '1049309382', None, None, None, None, None, None), ('3789', '4599398', '1049309381', None, None, None, None, None, None), ('3789', '4599398', '1049309380', None, None, None, None, None, None), ('3789', '4599398', '1049309379', None, None, None, None, None, None), ('3789', '4599398', '1049309345', None, None, None, None, None, None), ('3789', '4599398', '1049308384', None, None, None, None, None, None), ('3789', '4599398', '1049308381', None, None, None, None, None, None), ('3789', '4599398', '1049308376', None, None, None, None, None, None), ('3789', '4599398', '1049308280', None, None, None, None, None, None), ('3789', '4599398', '1049308276', None, None, None, None, None, None), ('3789', '4599398', '1049308275', None, None, None, None, None, None), ('3789', '4599398', '1049308235', None, None, None, None, None, None), ('3789', '4599398', '1049307693', None, None, None, None, None, None), ('3789', '4599398', '1049306823', None, None, None, None, None, None), ('3789', '4599398', '1049306804', None, None, None, None, None, None), ('3789', '4599398', '1049306792', None, None, None, None, None, None), ('3789', '4599398', '1049306791', None, None, None, None, None, None), ('3789', '4599398', '1049306635', None, None, None, None, None, None), ('3789', '4599398', '1049306205', None, None, None, None, None, None), ('3789', '4599398', '1049304810', None, None, None, None, None, None), ('3789', '4599398', '1049303925', None, None, None, None, None, None), ('3789', '4599398', '1049296996', None, None, None, None, None, None), ('3789', '4599398', '1049296121', None, None, None, None, None, None), ('3789', '4599398', '1049294990', None, None, None, None, None, None), ('3789', '4599398', '1049293230', None, None, None, None, None, None)]
time used for this insertion : 0.8000776767730713
 save_final 

save missing photos in datou_result :
After save, about to update current !
Result test rubbia : {'4599398': ([[0, 7, 8, 9, 11, 12, 13, 14, 17, 18], [19, 20, 22, 23, 25, 26, 27, 38, 39, 40, 51, 52, 53, 55, 60, 61, 62, 63, 71, 76, 77, 81, 82, 83, 84], [85, 86, 91, 92], [93], [97, 98, 99, 100, 101], [102], [103, 104], [107, 108, 109, 110, 112, 113, 116, 117, 118, 121, 122, 123], [124, 126, 128, 129, 130, 131, 134, 135], [136, 137, 138, 147, 148, 149, 150, 151, 152, 153, 154, 157, 158, 161, 162, 167, 168], [173, 176, 177, 178, 182, 183, 187, 188], [189, 193], [198, 201, 202, 207, 208, 209, 210, 211, 212, 213, 214, 215], [216, 217, 218, 220], [221, 224, 225, 226, 227, 231]], {'rungis_aluminium': [(10, 11)], 'rungis_carton': [], 'rungis_papier': [(0, 1), (2, 3), (4, 5), (6, 7), (8, 9), (13, 14)], 'rungis_plastique_clair': [], 'rungis_plastique_dur': [], 'rungis_plastique_fonce': [(1, 2), (3, 4), (5, 6), (7, 8), (9, 10), (12, 13), (14, 15)], 'rungis_tapis_vide': [], 'rungis_tetrapak': [(11, 12)]}, {13545772: {'list_of_photos': [1049293230, 1049306791, 1049294990, 1049306792, 1049306823, 1049307693, 1049308235, 1049308275, 1049308376, 1049308381], 'hashtag': 'papier'}, 13545774: {'list_of_photos': [1049308384, 1049309345, 1049309380, 1049309381, 1049309383, 1049309385, 1049309592, 1049309658, 1049309670, 1049309672, 1049310132, 1049310134, 1049310138, 1049310141, 1049310905, 1049310907, 1049310909, 1049310911, 1049310994, 1049311199, 1049311252, 1049311767, 1049311771, 1049311791, 1049311793], 'hashtag': 'plastique_fonce'}, 13545777: {'list_of_photos': [1049311795, 1049311932, 1049311943, 1049311960], 'hashtag': 'papier'}, 5570414: {'list_of_photos': [1049311961], 'hashtag': 'plastique_fonce'}, 13545779: {'list_of_photos': [1049312208, 1049312363, 1049312404, 1049312406, 1049312409], 'hashtag': 'papier'}, 13545780: {'list_of_photos': [1049312420], 'hashtag': 'plastique_fonce'}, 13545783: {'list_of_photos': [1049312422, 1049312424], 'hashtag': 'papier'}, 13545785: {'list_of_photos': [1049312438, 1049312440, 1049312442, 1049312444, 1049312449, 1049312460, 1049312463, 1049312464, 1049312484, 1049312488, 1049312489, 1049312508], 'hashtag': 'plastique_fonce'}, 13545787: {'list_of_photos': [1049312556, 1049312566, 1049312571, 1049312573, 1049312574, 1049312579, 1049312588, 1049312803], 'hashtag': 'papier'}, 13545788: {'list_of_photos': [1049312984, 1049313025, 1049316209, 1049316332, 1049316336, 1049316338, 1049316520, 1049316534, 1049316537, 1049316540, 1049316543, 1049316588, 1049316594, 1049316610, 1049316749, 1049316790, 1049317197], 'hashtag': 'plastique_fonce'}, 13543473: {'list_of_photos': [1049317359, 1049317453, 1049317457, 1049317461, 1049317489, 1049317491, 1049317520, 1049317522], 'hashtag': 'aluminium'}, 13543474: {'list_of_photos': [1049317524, 1049317542], 'hashtag': 'tetrapak'}, 13543475: {'list_of_photos': [1049318212, 1049318216, 1049318219, 1049318253, 1049318257, 1049318260, 1049318265, 1049318268, 1049318271, 1049318273, 1049318276, 1049318279], 'hashtag': 'plastique_fonce'}, 13543476: {'list_of_photos': [1049318287, 1049318288, 1049318289, 1049318293], 'hashtag': 'papier'}, 13543477: {'list_of_photos': [1049318294, 1049318311, 1049318337, 1049318339, 1049318342, 1049318362], 'hashtag': 'plastique_fonce'}}, {2107751280: 8, 2107750907: 0, 2107750908: 33, 2107750909: 0, 2107750910: 0, 2107750911: 74, 2107750912: 0, 2107750913: 2}, {'amount_uploaded_and_tagged': {'07092021': {'nb_upload': 232, 'nb_taggue_class': 232, 'nb_taggue_densite': 232, 'nb_descriptors': 232, 'number_port': 15, 'count_photo_in_port': 117, 'nb_port_per_class': {'rungis_aluminium': {'nb_photos': 8, 'nb_portfolios': 1}, 'rungis_carton': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_papier': {'nb_photos': 33, 'nb_portfolios': 6}, 'rungis_plastique_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_dur': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_fonce': {'nb_photos': 74, 'nb_portfolios': 7}, 'rungis_tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_tetrapak': {'nb_photos': 2, 'nb_portfolios': 1}}}}, 'map_all_result_after_group_moy_exp': {'number_port': 15, 'count_photo_in_port': 117, 'nb_port_per_class': {'rungis_aluminium': {'nb_photos': 8, 'nb_portfolios': 1}, 'rungis_carton': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_papier': {'nb_photos': 33, 'nb_portfolios': 6}, 'rungis_plastique_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_dur': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_fonce': {'nb_photos': 74, 'nb_portfolios': 7}, 'rungis_tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_tetrapak': {'nb_photos': 2, 'nb_portfolios': 1}}}, 'map_info_after_moyenne_mobile': {'07092021': {'distrib_time_diff': {'nb': 207, 'mean': 12.512076641626404, 'stddev': 12.296218880583977, 'min': 0.0, 'max': 119.00011491775513, 'quantil_10': {'min': [8.999778032302856], 'max': [11.000291109085083]}, 'quantil_100': {'min': [8.999709129333496], 'max': [61.00024700164795]}, 'quantil_1000': {'min': [0.0], 'max': [119.00011491775513]}, 'quantil_5000': {'min': [0.0], 'max': [119.00011491775513]}, 'quantil_10000': {'min': [0.0], 'max': [119.00011491775513]}}, 'time_diff': {'rungis_aluminium': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 80.99965000152588, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_carton': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 49.000049114227295, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_papier': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 11.000201940536499, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 534.9997780323029, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_clair': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_dur': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 31.000057697296143, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_fonce': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 564.0013737678528, '05102018_papier_non_papier_tres_peu_dense': 19.999656200408936}, 'rungis_tapis_vide': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_tetrapak': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 8.999944925308228, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 89.99986672401428, '05102018_papier_non_papier_tres_peu_dense': 9.999994993209839}}, 'time_diff_removed': {'rungis_aluminium': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 11.000208854675293, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 158.99993062019348, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_carton': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 101.00013995170593, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_papier': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 18.999826192855835, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 168.99926328659058, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_clair': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_dur': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_fonce': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 21.00012707710266, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 489.9993727207184, '05102018_papier_non_papier_tres_peu_dense': 11.000169038772583}, 'rungis_tapis_vide': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_tetrapak': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 38.99988508224487, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 170.0003685951233, '05102018_papier_non_papier_tres_peu_dense': 0}}, 'nb_photos': {'rungis_aluminium': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 8, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_carton': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 6, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_papier': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 1, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 28, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_clair': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_dur': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 2, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_fonce': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 40, '05102018_papier_non_papier_tres_peu_dense': 2}, 'rungis_tapis_vide': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_tetrapak': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 1, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 9, '05102018_papier_non_papier_tres_peu_dense': 1}}, 'nb_photos_removed': {'rungis_aluminium': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 1, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 16, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_carton': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 5, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_papier': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 2, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 16, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_clair': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_dur': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_fonce': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 1, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 46, '05102018_papier_non_papier_tres_peu_dense': 1}, 'rungis_tapis_vide': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_tetrapak': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 4, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 17, '05102018_papier_non_papier_tres_peu_dense': 0}}}}, 'map_amount_per_hashtag': {'rungis_aluminium': [(10, 11)], 'rungis_carton': [], 'rungis_papier': [(0, 1), (2, 3), (4, 5), (6, 7), (8, 9), (13, 14)], 'rungis_plastique_clair': [], 'rungis_plastique_dur': [], 'rungis_plastique_fonce': [(1, 2), (3, 4), (5, 6), (7, 8), (9, 10), (12, 13), (14, 15)], 'rungis_tapis_vide': [], 'rungis_tetrapak': [(11, 12)]}, 'count': {'rungis_aluminium': [(10, 11)], 'rungis_carton': [], 'rungis_papier': [(0, 1), (2, 3), (4, 5), (6, 7), (8, 9), (13, 14)], 'rungis_plastique_clair': [], 'rungis_plastique_dur': [], 'rungis_plastique_fonce': [(1, 2), (3, 4), (5, 6), (7, 8), (9, 10), (12, 13), (14, 15)], 'rungis_tapis_vide': [], 'rungis_tetrapak': [(11, 12)]}})}|
Result context_with_local_rubbia.cache_model_config.map_io test rubbia : {'input': {}, 'output': {}}|

############################### TEST rubbia_split_dark  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3787

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3787
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3787
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3787
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score_with_photo
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4608689) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4608689)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1055013727, 'portfolio_id': 4608689}, {'photo_id': 1055013724, 'portfolio_id': 4608689}, {'photo_id': 1055013693, 'portfolio_id': 4608689}, {'photo_id': 1055012727, 'portfolio_id': 4608689}, {'photo_id': 1055012722, 'portfolio_id': 4608689}, {'photo_id': 1055012686, 'portfolio_id': 4608689}, {'photo_id': 1055012684, 'portfolio_id': 4608689}, {'photo_id': 1055011740, 'portfolio_id': 4608689}, {'photo_id': 1055011733, 'portfolio_id': 4608689}, {'photo_id': 1055011726, 'portfolio_id': 4608689}, {'photo_id': 1055011459, 'portfolio_id': 4608689}, {'photo_id': 1055011454, 'portfolio_id': 4608689}, {'photo_id': 1055011441, 'portfolio_id': 4608689}, {'photo_id': 1055011086, 'portfolio_id': 4608689}, {'photo_id': 1055011076, 'portfolio_id': 4608689}, {'photo_id': 1055011074, 'portfolio_id': 4608689}, {'photo_id': 1055011072, 'portfolio_id': 4608689}, {'photo_id': 1055010743, 'portfolio_id': 4608689}, {'photo_id': 1055010739, 'portfolio_id': 4608689}, {'photo_id': 1055010737, 'portfolio_id': 4608689}, {'photo_id': 1055010730, 'portfolio_id': 4608689}, {'photo_id': 1055010725, 'portfolio_id': 4608689}, {'photo_id': 1055010723, 'portfolio_id': 4608689}, {'photo_id': 1055010143, 'portfolio_id': 4608689}, {'photo_id': 1055008638, 'portfolio_id': 4608689}, {'photo_id': 1055008599, 'portfolio_id': 4608689}, {'photo_id': 1055008597, 'portfolio_id': 4608689}, {'photo_id': 1055008184, 'portfolio_id': 4608689}, {'photo_id': 1055008181, 'portfolio_id': 4608689}, {'photo_id': 1055007992, 'portfolio_id': 4608689}, {'photo_id': 1055007953, 'portfolio_id': 4608689}, {'photo_id': 1055007950, 'portfolio_id': 4608689}, {'photo_id': 1055004798, 'portfolio_id': 4608689}, {'photo_id': 1055004627, 'portfolio_id': 4608689}, {'photo_id': 1055004608, 'portfolio_id': 4608689}, {'photo_id': 1055004600, 'portfolio_id': 4608689}, {'photo_id': 1055004278, 'portfolio_id': 4608689}, {'photo_id': 1055004217, 'portfolio_id': 4608689}, {'photo_id': 1055003679, 'portfolio_id': 4608689}, {'photo_id': 1055003357, 'portfolio_id': 4608689}, {'photo_id': 1055003348, 'portfolio_id': 4608689}, {'photo_id': 1055003292, 'portfolio_id': 4608689}, {'photo_id': 1055003278, 'portfolio_id': 4608689}, {'photo_id': 1055003266, 'portfolio_id': 4608689}, {'photo_id': 1055003261, 'portfolio_id': 4608689}, {'photo_id': 1055003259, 'portfolio_id': 4608689}, {'photo_id': 1055003249, 'portfolio_id': 4608689}, {'photo_id': 1055003202, 'portfolio_id': 4608689}, {'photo_id': 1055003198, 'portfolio_id': 4608689}, {'photo_id': 1055003197, 'portfolio_id': 4608689}, {'photo_id': 1055003185, 'portfolio_id': 4608689}, {'photo_id': 1055003134, 'portfolio_id': 4608689}, {'photo_id': 1055003131, 'portfolio_id': 4608689}, {'photo_id': 1055002045, 'portfolio_id': 4608689}, {'photo_id': 1055001545, 'portfolio_id': 4608689}, {'photo_id': 1055001542, 'portfolio_id': 4608689}, {'photo_id': 1055001092, 'portfolio_id': 4608689}, {'photo_id': 1055001085, 'portfolio_id': 4608689}, {'photo_id': 1055000228, 'portfolio_id': 4608689}, {'photo_id': 1055000070, 'portfolio_id': 4608689}, {'photo_id': 1055000068, 'portfolio_id': 4608689}, {'photo_id': 1055000063, 'portfolio_id': 4608689}, {'photo_id': 1055000059, 'portfolio_id': 4608689}, {'photo_id': 1055000055, 'portfolio_id': 4608689}]
 map_portfolio_id_photo_id: {4608689: [1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1055013727
begin to download photo : 1055011086
begin to download photo : 1055008597
begin to download photo : 1055003357
begin to download photo : 1055003131
download finish for photo 1055011086
begin to download photo : 1055011076
download finish for photo 1055008597
begin to download photo : 1055008184
download finish for photo 1055003357
begin to download photo : 1055003348
download finish for photo 1055013727
begin to download photo : 1055013724
download finish for photo 1055003131
begin to download photo : 1055002045
download finish for photo 1055011076
begin to download photo : 1055011074
download finish for photo 1055003348
begin to download photo : 1055003292
download finish for photo 1055013724
begin to download photo : 1055013693
download finish for photo 1055008184
begin to download photo : 1055008181
download finish for photo 1055002045
begin to download photo : 1055001545
download finish for photo 1055011074
begin to download photo : 1055011072
download finish for photo 1055013693
begin to download photo : 1055012727
download finish for photo 1055003292
begin to download photo : 1055003278
download finish for photo 1055008181
begin to download photo : 1055007992
download finish for photo 1055001545
begin to download photo : 1055001542
download finish for photo 1055012727
begin to download photo : 1055012722
download finish for photo 1055011072
begin to download photo : 1055010743
download finish for photo 1055003278
begin to download photo : 1055003266
download finish for photo 1055007992
begin to download photo : 1055007953
download finish for photo 1055010743
begin to download photo : 1055010739
download finish for photo 1055012722
begin to download photo : 1055012686
download finish for photo 1055003266
begin to download photo : 1055003261
download finish for photo 1055001542
begin to download photo : 1055001092
download finish for photo 1055012686
begin to download photo : 1055012684
download finish for photo 1055003261
begin to download photo : 1055003259
download finish for photo 1055007953
begin to download photo : 1055007950
download finish for photo 1055010739
begin to download photo : 1055010737
download finish for photo 1055012684
begin to download photo : 1055011740
download finish for photo 1055003259
begin to download photo : 1055003249
download finish for photo 1055001092
begin to download photo : 1055001085
download finish for photo 1055007950
begin to download photo : 1055004798
download finish for photo 1055001085
begin to download photo : 1055000228
download finish for photo 1055010737
begin to download photo : 1055010730
download finish for photo 1055003249
begin to download photo : 1055003202
download finish for photo 1055010730
begin to download photo : 1055010725
download finish for photo 1055011740
begin to download photo : 1055011733
download finish for photo 1055004798
begin to download photo : 1055004627
download finish for photo 1055000228
begin to download photo : 1055000070
download finish for photo 1055003202
begin to download photo : 1055003198
download finish for photo 1055004627
begin to download photo : 1055004608
download finish for photo 1055011733
begin to download photo : 1055011726
download finish for photo 1055010725
begin to download photo : 1055010723
download finish for photo 1055000070
begin to download photo : 1055000068
download finish for photo 1055003198
begin to download photo : 1055003197
download finish for photo 1055004608
begin to download photo : 1055004600
download finish for photo 1055011726
begin to download photo : 1055011459
download finish for photo 1055000068
begin to download photo : 1055000063
download finish for photo 1055010723
begin to download photo : 1055010143
download finish for photo 1055003197
begin to download photo : 1055003185
download finish for photo 1055004600
begin to download photo : 1055004278
download finish for photo 1055011459
begin to download photo : 1055011454
download finish for photo 1055000063
begin to download photo : 1055000059
download finish for photo 1055010143
begin to download photo : 1055008638
download finish for photo 1055003185
begin to download photo : 1055003134
download finish for photo 1055008638
begin to download photo : 1055008599
download finish for photo 1055004278
begin to download photo : 1055004217
download finish for photo 1055011454
begin to download photo : 1055011441
download finish for photo 1055003134
download finish for photo 1055000059
begin to download photo : 1055000055
download finish for photo 1055011441
download finish for photo 1055008599
download finish for photo 1055004217
begin to download photo : 1055003679
download finish for photo 1055000055
download finish for photo 1055003679
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 64 ; length of list_pids : 64 ; length of list_args : 64
##### After load_data_input 
time to download the photos : 4.221754312515259
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score_with_photo
Sun Feb  2 03:43:50 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464226_2241491_1055003357_724bbfa472d57dcea0975679f4a393ff.jpg': 1055003357, 'temp/1738464226_2241491_1055003348_588ecea5e15961fe1292f72d4cf33b3c.jpg': 1055003348, 'temp/1738464226_2241491_1055003292_4ad5363c1776217234fa6acc8a9fbd85.jpg': 1055003292, 'temp/1738464226_2241491_1055003278_1e53f6abe2076619fbf0cb6255fca71b.jpg': 1055003278, 'temp/1738464226_2241491_1055003266_eae639e1ccc20bd1a6a2f69e66c41382.jpg': 1055003266, 'temp/1738464226_2241491_1055003261_fb67a67f6cc7a87b0af2a03906a24b7d.jpg': 1055003261, 'temp/1738464226_2241491_1055003259_cc27886462be43921344678712ff777f.jpg': 1055003259, 'temp/1738464226_2241491_1055003249_a3800e1944260107f11d988a743bd54f.jpg': 1055003249, 'temp/1738464226_2241491_1055003202_39321c32c32d09c1ffaa48a867a690fe.jpg': 1055003202, 'temp/1738464226_2241491_1055003198_3f7cf97aea8a045db187250a09903f94.jpg': 1055003198, 'temp/1738464226_2241491_1055003197_8735b1a92ec92b085fcf6d4191102ae4.jpg': 1055003197, 'temp/1738464226_2241491_1055003185_f94dcbfb2802c930ee56eb9d1c9e9420.jpg': 1055003185, 'temp/1738464226_2241491_1055003134_b26c74c56f9d8d7a5c9ccd672aa5722e.jpg': 1055003134, 'temp/1738464226_2241491_1055013727_f34e29870c3ec81fcb476bf0068450cf.jpg': 1055013727, 'temp/1738464226_2241491_1055013724_8e582d8384c64704f84356f873bb03d8.jpg': 1055013724, 'temp/1738464226_2241491_1055013693_876ad4d5805887cd941b46d5ca7d5b1b.jpg': 1055013693, 'temp/1738464226_2241491_1055012727_3a1bdb1d67309822657123609c77e797.jpg': 1055012727, 'temp/1738464226_2241491_1055012722_f9babb3fe56ced25ffede8bbef5069fb.jpg': 1055012722, 'temp/1738464226_2241491_1055012686_a45d0e00cad891daaf8f041ee26a78d1.jpg': 1055012686, 'temp/1738464226_2241491_1055012684_ba679a0e20ea6f16bfd9069fc90f689d.jpg': 1055012684, 'temp/1738464226_2241491_1055011740_0b33951d4709683b89a108912f3c0dd3.jpg': 1055011740, 'temp/1738464226_2241491_1055011733_801c47d539f95680cda20cf369779093.jpg': 1055011733, 'temp/1738464226_2241491_1055011726_707dc466731322dc036267ca30d7e700.jpg': 1055011726, 'temp/1738464226_2241491_1055011459_76e96710774ab5e4a8e5f23142b2b45e.jpg': 1055011459, 'temp/1738464226_2241491_1055011454_46ec921f09112d298dcc47353d779d55.jpg': 1055011454, 'temp/1738464226_2241491_1055011441_d825f9623da221614af7ce7a13591d1a.jpg': 1055011441, 'temp/1738464226_2241491_1055011086_bdfadbfd9b854d0e57bff554442c9bcd.jpg': 1055011086, 'temp/1738464226_2241491_1055011076_8f47b07eac25de1c6c004fe4d3d508be.jpg': 1055011076, 'temp/1738464226_2241491_1055011074_af75a035dcd1829a43a1e1de711c1c5c.jpg': 1055011074, 'temp/1738464226_2241491_1055011072_37a292bbe61b6a71ca20b3b88d1105ca.jpg': 1055011072, 'temp/1738464226_2241491_1055010743_8e677a02379626daa3d4ee7356ad894e.jpg': 1055010743, 'temp/1738464226_2241491_1055010739_e4eec41f6a47dc3e97c189a1e5caa46f.jpg': 1055010739, 'temp/1738464226_2241491_1055010737_350522f4866a7dcde0258de8aa920041.jpg': 1055010737, 'temp/1738464226_2241491_1055010730_1cfbca5001cab6e5d12df6b4b06e86c5.jpg': 1055010730, 'temp/1738464226_2241491_1055010725_915c21ba8a484205e02874d398e0faef.jpg': 1055010725, 'temp/1738464226_2241491_1055010723_2601cc78c82bdb85cb92f991b4df99cb.jpg': 1055010723, 'temp/1738464226_2241491_1055010143_9d8ce5a6bcd913fe183d34bf4af34991.jpg': 1055010143, 'temp/1738464226_2241491_1055008638_3468359b1556541fe6baa375af06bd9a.jpg': 1055008638, 'temp/1738464226_2241491_1055008599_4ab44774eb0f6cda7b9ec80578561b31.jpg': 1055008599, 'temp/1738464226_2241491_1055003131_12bcf047c16351b2a2b41b2ba70db7b7.jpg': 1055003131, 'temp/1738464226_2241491_1055002045_390fce166d8a4e346d18cfdb695bd3f8.jpg': 1055002045, 'temp/1738464226_2241491_1055001545_292c889b214383c9eff957d779217aeb.jpg': 1055001545, 'temp/1738464226_2241491_1055001542_5e1a9c0f7788cfc726846cda743dd454.jpg': 1055001542, 'temp/1738464226_2241491_1055001092_fd1729b4879040e36f41b3af545fd28c.jpg': 1055001092, 'temp/1738464226_2241491_1055001085_586137b302133d7442a9621d01dfd9ee.jpg': 1055001085, 'temp/1738464226_2241491_1055000228_6046bacdc732ec23020791db686fd31b.jpg': 1055000228, 'temp/1738464226_2241491_1055000070_639c1516bf67f61fa16e61a34313e98b.jpg': 1055000070, 'temp/1738464226_2241491_1055000068_fa025777da94026b7a3688fce1c4c657.jpg': 1055000068, 'temp/1738464226_2241491_1055000063_44f2dd3c2dff30aa3bc9da4b89a2daf0.jpg': 1055000063, 'temp/1738464226_2241491_1055000059_4b09d365e4e3dcefaeb8b421405350f9.jpg': 1055000059, 'temp/1738464226_2241491_1055000055_c9e450bd4b6e2cb9cfa8e540e915987c.jpg': 1055000055, 'temp/1738464226_2241491_1055008597_33977b4f5c3fdcfef21a921815b91908.jpg': 1055008597, 'temp/1738464226_2241491_1055008184_23ee09498d38b063b7df290f72693b5b.jpg': 1055008184, 'temp/1738464226_2241491_1055008181_872ed5f6160fc9985f7c144e533a552d.jpg': 1055008181, 'temp/1738464226_2241491_1055007992_3f0247dd9a329bb2634a6df866c7993b.jpg': 1055007992, 'temp/1738464226_2241491_1055007953_831e4c41962162209ffbd3492d14ca01.jpg': 1055007953, 'temp/1738464226_2241491_1055007950_3aea8b8cb1f8c6e4b87714e0d17e12c5.jpg': 1055007950, 'temp/1738464226_2241491_1055004798_c38e078097a0afb8565867dfa05724d7.jpg': 1055004798, 'temp/1738464226_2241491_1055004627_9afc9aa5c93533104d86b96e0b5de9d0.jpg': 1055004627, 'temp/1738464226_2241491_1055004608_8f10a6ef80cc1cb72e52bb22cdd7bac9.jpg': 1055004608, 'temp/1738464226_2241491_1055004600_d545fe61ea780a6598c9d5febba7d576.jpg': 1055004600, 'temp/1738464226_2241491_1055004278_7d9a1423053759339afb51f45a1b5d84.jpg': 1055004278, 'temp/1738464226_2241491_1055004217_63353acd8a59167cd1364f16c9c06813.jpg': 1055004217, 'temp/1738464226_2241491_1055003679_9231db8e9237505d07f9358467266703.jpg': 1055003679}
map_photo_id_path_extension : {1055003357: {'path': 'temp/1738464226_2241491_1055003357_724bbfa472d57dcea0975679f4a393ff.jpg', 'extension': 'jpg'}, 1055003348: {'path': 'temp/1738464226_2241491_1055003348_588ecea5e15961fe1292f72d4cf33b3c.jpg', 'extension': 'jpg'}, 1055003292: {'path': 'temp/1738464226_2241491_1055003292_4ad5363c1776217234fa6acc8a9fbd85.jpg', 'extension': 'jpg'}, 1055003278: {'path': 'temp/1738464226_2241491_1055003278_1e53f6abe2076619fbf0cb6255fca71b.jpg', 'extension': 'jpg'}, 1055003266: {'path': 'temp/1738464226_2241491_1055003266_eae639e1ccc20bd1a6a2f69e66c41382.jpg', 'extension': 'jpg'}, 1055003261: {'path': 'temp/1738464226_2241491_1055003261_fb67a67f6cc7a87b0af2a03906a24b7d.jpg', 'extension': 'jpg'}, 1055003259: {'path': 'temp/1738464226_2241491_1055003259_cc27886462be43921344678712ff777f.jpg', 'extension': 'jpg'}, 1055003249: {'path': 'temp/1738464226_2241491_1055003249_a3800e1944260107f11d988a743bd54f.jpg', 'extension': 'jpg'}, 1055003202: {'path': 'temp/1738464226_2241491_1055003202_39321c32c32d09c1ffaa48a867a690fe.jpg', 'extension': 'jpg'}, 1055003198: {'path': 'temp/1738464226_2241491_1055003198_3f7cf97aea8a045db187250a09903f94.jpg', 'extension': 'jpg'}, 1055003197: {'path': 'temp/1738464226_2241491_1055003197_8735b1a92ec92b085fcf6d4191102ae4.jpg', 'extension': 'jpg'}, 1055003185: {'path': 'temp/1738464226_2241491_1055003185_f94dcbfb2802c930ee56eb9d1c9e9420.jpg', 'extension': 'jpg'}, 1055003134: {'path': 'temp/1738464226_2241491_1055003134_b26c74c56f9d8d7a5c9ccd672aa5722e.jpg', 'extension': 'jpg'}, 1055013727: {'path': 'temp/1738464226_2241491_1055013727_f34e29870c3ec81fcb476bf0068450cf.jpg', 'extension': 'jpg'}, 1055013724: {'path': 'temp/1738464226_2241491_1055013724_8e582d8384c64704f84356f873bb03d8.jpg', 'extension': 'jpg'}, 1055013693: {'path': 'temp/1738464226_2241491_1055013693_876ad4d5805887cd941b46d5ca7d5b1b.jpg', 'extension': 'jpg'}, 1055012727: {'path': 'temp/1738464226_2241491_1055012727_3a1bdb1d67309822657123609c77e797.jpg', 'extension': 'jpg'}, 1055012722: {'path': 'temp/1738464226_2241491_1055012722_f9babb3fe56ced25ffede8bbef5069fb.jpg', 'extension': 'jpg'}, 1055012686: {'path': 'temp/1738464226_2241491_1055012686_a45d0e00cad891daaf8f041ee26a78d1.jpg', 'extension': 'jpg'}, 1055012684: {'path': 'temp/1738464226_2241491_1055012684_ba679a0e20ea6f16bfd9069fc90f689d.jpg', 'extension': 'jpg'}, 1055011740: {'path': 'temp/1738464226_2241491_1055011740_0b33951d4709683b89a108912f3c0dd3.jpg', 'extension': 'jpg'}, 1055011733: {'path': 'temp/1738464226_2241491_1055011733_801c47d539f95680cda20cf369779093.jpg', 'extension': 'jpg'}, 1055011726: {'path': 'temp/1738464226_2241491_1055011726_707dc466731322dc036267ca30d7e700.jpg', 'extension': 'jpg'}, 1055011459: {'path': 'temp/1738464226_2241491_1055011459_76e96710774ab5e4a8e5f23142b2b45e.jpg', 'extension': 'jpg'}, 1055011454: {'path': 'temp/1738464226_2241491_1055011454_46ec921f09112d298dcc47353d779d55.jpg', 'extension': 'jpg'}, 1055011441: {'path': 'temp/1738464226_2241491_1055011441_d825f9623da221614af7ce7a13591d1a.jpg', 'extension': 'jpg'}, 1055011086: {'path': 'temp/1738464226_2241491_1055011086_bdfadbfd9b854d0e57bff554442c9bcd.jpg', 'extension': 'jpg'}, 1055011076: {'path': 'temp/1738464226_2241491_1055011076_8f47b07eac25de1c6c004fe4d3d508be.jpg', 'extension': 'jpg'}, 1055011074: {'path': 'temp/1738464226_2241491_1055011074_af75a035dcd1829a43a1e1de711c1c5c.jpg', 'extension': 'jpg'}, 1055011072: {'path': 'temp/1738464226_2241491_1055011072_37a292bbe61b6a71ca20b3b88d1105ca.jpg', 'extension': 'jpg'}, 1055010743: {'path': 'temp/1738464226_2241491_1055010743_8e677a02379626daa3d4ee7356ad894e.jpg', 'extension': 'jpg'}, 1055010739: {'path': 'temp/1738464226_2241491_1055010739_e4eec41f6a47dc3e97c189a1e5caa46f.jpg', 'extension': 'jpg'}, 1055010737: {'path': 'temp/1738464226_2241491_1055010737_350522f4866a7dcde0258de8aa920041.jpg', 'extension': 'jpg'}, 1055010730: {'path': 'temp/1738464226_2241491_1055010730_1cfbca5001cab6e5d12df6b4b06e86c5.jpg', 'extension': 'jpg'}, 1055010725: {'path': 'temp/1738464226_2241491_1055010725_915c21ba8a484205e02874d398e0faef.jpg', 'extension': 'jpg'}, 1055010723: {'path': 'temp/1738464226_2241491_1055010723_2601cc78c82bdb85cb92f991b4df99cb.jpg', 'extension': 'jpg'}, 1055010143: {'path': 'temp/1738464226_2241491_1055010143_9d8ce5a6bcd913fe183d34bf4af34991.jpg', 'extension': 'jpg'}, 1055008638: {'path': 'temp/1738464226_2241491_1055008638_3468359b1556541fe6baa375af06bd9a.jpg', 'extension': 'jpg'}, 1055008599: {'path': 'temp/1738464226_2241491_1055008599_4ab44774eb0f6cda7b9ec80578561b31.jpg', 'extension': 'jpg'}, 1055003131: {'path': 'temp/1738464226_2241491_1055003131_12bcf047c16351b2a2b41b2ba70db7b7.jpg', 'extension': 'jpg'}, 1055002045: {'path': 'temp/1738464226_2241491_1055002045_390fce166d8a4e346d18cfdb695bd3f8.jpg', 'extension': 'jpg'}, 1055001545: {'path': 'temp/1738464226_2241491_1055001545_292c889b214383c9eff957d779217aeb.jpg', 'extension': 'jpg'}, 1055001542: {'path': 'temp/1738464226_2241491_1055001542_5e1a9c0f7788cfc726846cda743dd454.jpg', 'extension': 'jpg'}, 1055001092: {'path': 'temp/1738464226_2241491_1055001092_fd1729b4879040e36f41b3af545fd28c.jpg', 'extension': 'jpg'}, 1055001085: {'path': 'temp/1738464226_2241491_1055001085_586137b302133d7442a9621d01dfd9ee.jpg', 'extension': 'jpg'}, 1055000228: {'path': 'temp/1738464226_2241491_1055000228_6046bacdc732ec23020791db686fd31b.jpg', 'extension': 'jpg'}, 1055000070: {'path': 'temp/1738464226_2241491_1055000070_639c1516bf67f61fa16e61a34313e98b.jpg', 'extension': 'jpg'}, 1055000068: {'path': 'temp/1738464226_2241491_1055000068_fa025777da94026b7a3688fce1c4c657.jpg', 'extension': 'jpg'}, 1055000063: {'path': 'temp/1738464226_2241491_1055000063_44f2dd3c2dff30aa3bc9da4b89a2daf0.jpg', 'extension': 'jpg'}, 1055000059: {'path': 'temp/1738464226_2241491_1055000059_4b09d365e4e3dcefaeb8b421405350f9.jpg', 'extension': 'jpg'}, 1055000055: {'path': 'temp/1738464226_2241491_1055000055_c9e450bd4b6e2cb9cfa8e540e915987c.jpg', 'extension': 'jpg'}, 1055008597: {'path': 'temp/1738464226_2241491_1055008597_33977b4f5c3fdcfef21a921815b91908.jpg', 'extension': 'jpg'}, 1055008184: {'path': 'temp/1738464226_2241491_1055008184_23ee09498d38b063b7df290f72693b5b.jpg', 'extension': 'jpg'}, 1055008181: {'path': 'temp/1738464226_2241491_1055008181_872ed5f6160fc9985f7c144e533a552d.jpg', 'extension': 'jpg'}, 1055007992: {'path': 'temp/1738464226_2241491_1055007992_3f0247dd9a329bb2634a6df866c7993b.jpg', 'extension': 'jpg'}, 1055007953: {'path': 'temp/1738464226_2241491_1055007953_831e4c41962162209ffbd3492d14ca01.jpg', 'extension': 'jpg'}, 1055007950: {'path': 'temp/1738464226_2241491_1055007950_3aea8b8cb1f8c6e4b87714e0d17e12c5.jpg', 'extension': 'jpg'}, 1055004798: {'path': 'temp/1738464226_2241491_1055004798_c38e078097a0afb8565867dfa05724d7.jpg', 'extension': 'jpg'}, 1055004627: {'path': 'temp/1738464226_2241491_1055004627_9afc9aa5c93533104d86b96e0b5de9d0.jpg', 'extension': 'jpg'}, 1055004608: {'path': 'temp/1738464226_2241491_1055004608_8f10a6ef80cc1cb72e52bb22cdd7bac9.jpg', 'extension': 'jpg'}, 1055004600: {'path': 'temp/1738464226_2241491_1055004600_d545fe61ea780a6598c9d5febba7d576.jpg', 'extension': 'jpg'}, 1055004278: {'path': 'temp/1738464226_2241491_1055004278_7d9a1423053759339afb51f45a1b5d84.jpg', 'extension': 'jpg'}, 1055004217: {'path': 'temp/1738464226_2241491_1055004217_63353acd8a59167cd1364f16c9c06813.jpg', 'extension': 'jpg'}, 1055003679: {'path': 'temp/1738464226_2241491_1055003679_9231db8e9237505d07f9358467266703.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
----- Debut du copier-coller des param necessaire pour fonction main de STS -----
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4608689 group by h
(('18', 4), ('19', 5), ('20', 5), ('24', 8), ('26', 6), ('17', 1), ('27', 9), ('51', 7), ('28', 2), ('21', 4), ('52', 2), ('25', 6), ('50', 3), ('22', 2))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4608689  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4608689)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4608689)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
06102021 4608689 Nombre de photos uploadées : 64 / 23040 (0%)
06102021 4608689 Nombre de photos taguées (types de déchets): 0 / 64 (0%)
06102021 4608689 Nombre de photos taguées (volume) : 0 / 64 (0%)
[{'photo_id': 1055000228, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/7/6046bacdc732ec23020791db686fd31b.jpg', 'username': None, 'uploaded_at': 1633601256, 'text': 'IMG_20211006_101733.jpg', 'path': 'temp/1738464226_2241491_1055000228_6046bacdc732ec23020791db686fd31b.jpg', 'black': False}, {'photo_id': 1055007950, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/7/3aea8b8cb1f8c6e4b87714e0d17e12c5.jpg', 'username': None, 'uploaded_at': 1633603536, 'text': 'IMG_20211006_101843.jpg', 'path': 'temp/1738464226_2241491_1055007950_3aea8b8cb1f8c6e4b87714e0d17e12c5.jpg', 'black': False}, {'photo_id': 1055003348, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/7/588ecea5e15961fe1292f72d4cf33b3c.jpg', 'username': None, 'uploaded_at': 1633602087, 'text': 'IMG_20211006_101853.jpg', 'path': 'temp/1738464226_2241491_1055003348_588ecea5e15961fe1292f72d4cf33b3c.jpg', 'black': False}, {'photo_id': 1055000055, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/7/c9e450bd4b6e2cb9cfa8e540e915987c.jpg', 'username': None, 'uploaded_at': 1633601187, 'text': 'IMG_20211006_101804.jpg', 'path': 'temp/1738464226_2241491_1055000055_c9e450bd4b6e2cb9cfa8e540e915987c.jpg', 'black': False}]
0
[]
 elapsed_time : load_data_split_time_score 8.344650268554688e-06
 elapsed_time : order_list_meta_photo_and_scores 1.049041748046875e-05
???????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0026514530181884766

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
41, 4608689, '2021-10-06'
) ON DUPLICATE KEY UPDATE mtr_portfolio_id=VALUES(mtr_portfolio_id), updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(106232,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.030389070510864258
***** BEGIN SPLIT BY DARK *****
To DO 08/10/21
Let s Iterate on Ds Object and set black attribute == >


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 1
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055001085, 492584841, 4330)
time used for this insertion : 0.014912843704223633


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 2
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055008638, 492584841, 4330)
time used for this insertion : 0.008687496185302734


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 3
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055010730, 492584841, 4330)
time used for this insertion : 0.009056568145751953


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 4
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055011086, 492584841, 4330)
time used for this insertion : 0.009938478469848633


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 5
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055012686, 492584841, 4330)
time used for this insertion : 0.009966373443603516
 elapsed_time : SPLIT_BY_DARK 0.06723213195800781
***** END SPLIT BY DARK *****
((1055001085,), (1055008638,), (1055010730,), (1055011086,), (1055012686,))
***** BEGIN SPLIT TIME *****
False
[12, 20, 29, 38, 51]
1633478400.0
`1633508253.0 1633507200.0
`1633508284.0 1633507200.0
`1633508316.0 1633507200.0
`1633508323.0 1633507200.0
`1633508333.0 1633507200.0
`1633508340.0 1633507200.0
`1633508358.0 1633507200.0
`1633508369.0 1633507200.0
`1633508385.0 1633507200.0
`1633508398.0 1633507200.0
`1633508416.0 1633507200.0
`1633508425.0 1633507200.0
`1633508434.0 1633507200.0
`1633508449.0 1633507200.0
`1633508458.0 1633507200.0
`1633508470.0 1633507200.0
`1633508491.0 1633507200.0
`1633508499.0 1633507200.0
`1633508508.0 1633507200.0
`1633508521.0 1633507200.0
`1633508524.0 1633507200.0
`1633508644.0 1633507200.0
`1633508652.0 1633507200.0
`1633508657.0 1633507200.0
`1633508669.0 1633507200.0
`1633508678.0 1633507200.0
`1633508684.0 1633507200.0
`1633508690.0 1633507200.0
`1633508696.0 1633507200.0
`1633508701.0 1633507200.0
`1633508725.0 1633507200.0
`1633508733.0 1633507200.0
`1633508739.0 1633507200.0
`1633508748.0 1633507200.0
`1633508759.0 1633507200.0
`1633508766.0 1633507200.0
`1633508772.0 1633507200.0
`1633508778.0 1633507200.0
`1633508781.0 1633507200.0
`1633508805.0 1633507200.0
`1633508813.0 1633507200.0
`1633508820.0 1633507200.0
`1633508824.0 1633507200.0
`1633508829.0 1633507200.0
`1633508833.0 1633507200.0
`1633508849.0 1633507200.0
`1633508858.0 1633507200.0
`1633508865.0 1633507200.0
`1633508871.0 1633507200.0
`1633508877.0 1633507200.0
`1633508886.0 1633507200.0
`1633508891.0 1633507200.0
`1633524639.0 1633521600.0
`1633524648.0 1633521600.0
`1633524657.0 1633521600.0
`1633524662.0 1633521600.0
`1633524675.0 1633521600.0
`1633524680.0 1633521600.0
`1633524683.0 1633521600.0
`1633524694.0 1633521600.0
`1633524700.0 1633521600.0
`1633524718.0 1633521600.0
`1633524722.0 1633521600.0
`1633524741.0 1633521600.0
list printed:  [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]]
forced_hashtag:  jrm
force hashtag to jrm
 elapsed_time : SPLIT_TIME 0.006883382797241211
***** END SPLIT TIME *****
 NUMBER BATCH : 7
 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['refus', 'jrm']
Listed one port to create portfolio : jrm_diff_batch__06102021_10_17_33_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_17_33_000000 : 0 duration : 172.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c86f280>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 172.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_101733.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__06102021_10_20_49_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_20_49_000000 : 0 duration : 72.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c86f100>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 72.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_102049.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__06102021_10_24_04_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_24_04_000000 : 0 duration : 52.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c86f310>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 52.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_102404.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__06102021_10_25_25_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_25_25_000000 : 0 duration : 53.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c86f1c0>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 53.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_102525.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__06102021_10_26_45_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_26_45_000000 : 0 duration : 81.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c86f370>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 81.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_102645.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Empty batch, bug or could have been filtered !
Listed one port to create portfolio : jrm_diff_batch__06102021_14_50_39_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_14_50_39_000000 : 0 duration : 102.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d3c86f3d0>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 102.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_145039.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
We have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 6
list_same_port_ids : [4938484]


 find same portfolio which already exist 4938484 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938484 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938484 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4938485]


 find same portfolio which already exist 4938485 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938485 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938485 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4938486]


 find same portfolio which already exist 4938486 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938486 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938486 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4938487]


 find same portfolio which already exist 4938487 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938487 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938487 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4938488]


 find same portfolio which already exist 4938488 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938488 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938488 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4756245]


 find same portfolio which already exist 4756245 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4756245 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4756245 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938484
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384725, 'mtr_portfolio_id': 4938484, 'created_at': datetime.datetime(2024, 11, 21, 0, 58, 17), 'result': '0.049377889059021136', 'result_long': None, 'result_double': None}]
Qualite : 0.049377889059021136
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938484 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938484 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579501, '_______jrm',
'2021-10-06 10:17:33', '2021-10-06 10:20:25',
12, 4938484,
0.049377889059021136, 2384725,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938484_21-11-2024_00_58_17.pdf', 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938531, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938532, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938533, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938534, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938535, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938536, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938537, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938538, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938539, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938540, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938485
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384726, 'mtr_portfolio_id': 4938485, 'created_at': datetime.datetime(2024, 11, 21, 1, 5, 11), 'result': '0.051267724965616025', 'result_long': None, 'result_double': None}]
Qualite : 0.051267724965616025
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938485 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938485 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579501, '_______jrm',
'2021-10-06 10:20:49', '2021-10-06 10:22:01',
7, 4938485,
0.051267724965616025, 2384726,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938485_21-11-2024_01_05_11.pdf', 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938520, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938521, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938522, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938523, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938524, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938525, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938526, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938527, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938528, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938529, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938486
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384727, 'mtr_portfolio_id': 4938486, 'created_at': datetime.datetime(2024, 11, 21, 1, 17, 15), 'result': '0.06573670331612967', 'result_long': None, 'result_double': None}]
Qualite : 0.06573670331612967
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938486 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938486 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579501, '_______jrm',
'2021-10-06 10:24:04', '2021-10-06 10:24:56',
8, 4938486,
0.06573670331612967, 2384727,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938486_21-11-2024_01_17_15.pdf', 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938542, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938543, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938544, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938545, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938546, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938547, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938548, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938549, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938550, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938551, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938487
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384728, 'mtr_portfolio_id': 4938487, 'created_at': datetime.datetime(2024, 11, 21, 1, 27, 52), 'result': '0.12804353375222421', 'result_long': None, 'result_double': None}]
Qualite : 0.12804353375222421
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938487 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938487 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579501, '_______jrm',
'2021-10-06 10:25:25', '2021-10-06 10:26:18',
8, 4938487,
0.12804353375222421, 2384728,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938487_21-11-2024_01_27_52.pdf', 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938552, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938553, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938554, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938555, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938556, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938557, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938558, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938559, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938560, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938561, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938488
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384729, 'mtr_portfolio_id': 4938488, 'created_at': datetime.datetime(2024, 11, 21, 1, 43, 45), 'result': '0.07355022343618775', 'result_long': None, 'result_double': None}]
Qualite : 0.07355022343618775
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938488 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938488 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579501, '_______jrm',
'2021-10-06 10:26:45', '2021-10-06 10:28:06',
12, 4938488,
0.07355022343618775, 2384729,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938488_21-11-2024_01_43_46.pdf', 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938797, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938798, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938799, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938800, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938801, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938802, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938803, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938804, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938805, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938806, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4756245
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384730, 'mtr_portfolio_id': 4756245, 'created_at': datetime.datetime(2024, 11, 21, 1, 56, 10), 'result': '0.10644996740301908', 'result_long': None, 'result_double': None}]
Qualite : 0.10644996740301908
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4756245 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4756245 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579501, '_______jrm',
'2021-10-06 14:50:39', '2021-10-06 14:52:21',
12, 4756245,
0.10644996740301908, 2384730,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4756245_21-11-2024_01_56_10.pdf', 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4756351, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4756352, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4756353, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4756354, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4756355, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4756356, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4756357, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4756358, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4756359, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4756360, 'pht': 4038}}"
);
 elapsed_time : count_nb_balles_and_create_portfolio 0.751802921295166
# DISPLAY ALL COLLECTED DATA : 
{'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}
------ Fin du Copier-Coller ------
---------- ONE RESULT ---------
([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]], {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, {4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}}, {2107757407: 59}, {'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}})
---------- END de ONE RESULT ----------
Suppression des photos Telecharges

After datou_step_exec type output : <class 'tuple'>

time spend for datou_step_exec : 5.916612863540649
time spend to save output : 0.00011992454528808594
total time spend for step 1 : 5.9167327880859375

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score_with_photo we use saveGeneral 
[1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679]
 map_info['map_portfolio_photo'] : {4608689: [1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055]}
 final :  True mtd_id 3787 list_pids : [1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679]
Looping around the photos to save general results
len do output : 5
/[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]]
/{'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}
/{4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}}
/{2107757407: 59}
/{'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}}
before output type
Managing all output in save final without adding information in the mtr_datou_result 
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003357', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003348', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003292', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003278', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003266', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003261', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003259', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003249', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003202', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003198', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003197', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003185', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003134', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055013727', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055013724', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055013693', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055012727', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055012722', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055012686', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055012684', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011740', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011733', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011726', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011459', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011454', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011441', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011086', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011076', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011074', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011072', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010743', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010739', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010737', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010730', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010725', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010723', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010143', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008638', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008599', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003131', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055002045', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055001545', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055001542', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055001092', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055001085', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000228', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000070', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000068', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000063', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000059', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000055', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008597', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008184', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008181', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055007992', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055007953', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055007950', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004798', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004627', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004608', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004600', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004278', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004217', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003679', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 64
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3787', '4608689', '1055003357', None, None, None, None, None, None), ('3787', '4608689', '1055003348', None, None, None, None, None, None), ('3787', '4608689', '1055003292', None, None, None, None, None, None), ('3787', '4608689', '1055003278', None, None, None, None, None, None), ('3787', '4608689', '1055003266', None, None, None, None, None, None), ('3787', '4608689', '1055003261', None, None, None, None, None, None), ('3787', '4608689', '1055003259', None, None, None, None, None, None), ('3787', '4608689', '1055003249', None, None, None, None, None, None), ('3787', '4608689', '1055003202', None, None, None, None, None, None), ('3787', '4608689', '1055003198', None, None, None, None, None, None), ('3787', '4608689', '1055003197', None, None, None, None, None, None), ('3787', '4608689', '1055003185', None, None, None, None, None, None), ('3787', '4608689', '1055003134', None, None, None, None, None, None), ('3787', '4608689', '1055013727', None, None, None, None, None, None), ('3787', '4608689', '1055013724', None, None, None, None, None, None), ('3787', '4608689', '1055013693', None, None, None, None, None, None), ('3787', '4608689', '1055012727', None, None, None, None, None, None), ('3787', '4608689', '1055012722', None, None, None, None, None, None), ('3787', '4608689', '1055012686', None, None, None, None, None, None), ('3787', '4608689', '1055012684', None, None, None, None, None, None), ('3787', '4608689', '1055011740', None, None, None, None, None, None), ('3787', '4608689', '1055011733', None, None, None, None, None, None), ('3787', '4608689', '1055011726', None, None, None, None, None, None), ('3787', '4608689', '1055011459', None, None, None, None, None, None), ('3787', '4608689', '1055011454', None, None, None, None, None, None), ('3787', '4608689', '1055011441', None, None, None, None, None, None), ('3787', '4608689', '1055011086', None, None, None, None, None, None), ('3787', '4608689', '1055011076', None, None, None, None, None, None), ('3787', '4608689', '1055011074', None, None, None, None, None, None), ('3787', '4608689', '1055011072', None, None, None, None, None, None), ('3787', '4608689', '1055010743', None, None, None, None, None, None), ('3787', '4608689', '1055010739', None, None, None, None, None, None), ('3787', '4608689', '1055010737', None, None, None, None, None, None), ('3787', '4608689', '1055010730', None, None, None, None, None, None), ('3787', '4608689', '1055010725', None, None, None, None, None, None), ('3787', '4608689', '1055010723', None, None, None, None, None, None), ('3787', '4608689', '1055010143', None, None, None, None, None, None), ('3787', '4608689', '1055008638', None, None, None, None, None, None), ('3787', '4608689', '1055008599', None, None, None, None, None, None), ('3787', '4608689', '1055003131', None, None, None, None, None, None), ('3787', '4608689', '1055002045', None, None, None, None, None, None), ('3787', '4608689', '1055001545', None, None, None, None, None, None), ('3787', '4608689', '1055001542', None, None, None, None, None, None), ('3787', '4608689', '1055001092', None, None, None, None, None, None), ('3787', '4608689', '1055001085', None, None, None, None, None, None), ('3787', '4608689', '1055000228', None, None, None, None, None, None), ('3787', '4608689', '1055000070', None, None, None, None, None, None), ('3787', '4608689', '1055000068', None, None, None, None, None, None), ('3787', '4608689', '1055000063', None, None, None, None, None, None), ('3787', '4608689', '1055000059', None, None, None, None, None, None), ('3787', '4608689', '1055000055', None, None, None, None, None, None), ('3787', '4608689', '1055008597', None, None, None, None, None, None), ('3787', '4608689', '1055008184', None, None, None, None, None, None), ('3787', '4608689', '1055008181', None, None, None, None, None, None), ('3787', '4608689', '1055007992', None, None, None, None, None, None), ('3787', '4608689', '1055007953', None, None, None, None, None, None), ('3787', '4608689', '1055007950', None, None, None, None, None, None), ('3787', '4608689', '1055004798', None, None, None, None, None, None), ('3787', '4608689', '1055004627', None, None, None, None, None, None), ('3787', '4608689', '1055004608', None, None, None, None, None, None), ('3787', '4608689', '1055004600', None, None, None, None, None, None), ('3787', '4608689', '1055004278', None, None, None, None, None, None), ('3787', '4608689', '1055004217', None, None, None, None, None, None), ('3787', '4608689', '1055003679', None, None, None, None, None, None)]
time used for this insertion : 0.2259054183959961
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : ([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]], {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, {4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}}, {2107757407: 59}, {'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}})
Result test split dark : ([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]], {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, {4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}}, {2107757407: 59}, {'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}})|

############################### TEST rubbia_append  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3856

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3856
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3856
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3856
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4599006) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4505992) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4599006,4505992)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1054572537, 'portfolio_id': 4599006}, {'photo_id': 1054572534, 'portfolio_id': 4599006}, {'photo_id': 1054572532, 'portfolio_id': 4599006}, {'photo_id': 1051605195, 'portfolio_id': 4505992}]
 map_portfolio_id_photo_id: {4599006: [1054572537, 1054572534, 1054572532], 4505992: [1051605195]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.03326678276062012
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score
Sun Feb  2 03:43:56 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4599006 group by h
(('30', 1), ('36', 1), ('43', 1))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4599006  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4599006)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4599006)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
21092021 4599006 Nombre de photos uploadées : 3 / 23040 (0%)
21092021 4599006 Nombre de photos taguées (types de déchets): 0 / 3 (0%)
21092021 4599006 Nombre de photos taguées (volume) : 0 / 3 (0%)
[{'photo_id': 1054572532, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/5/4298b86687a1b085f5190a510e3d99e9.jpg', 'username': None, 'uploaded_at': 1633441829, 'text': 'IMG_20210921_163030.jpg'}, {'photo_id': 1054572534, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/5/c726e7bbaa3020412b11d5d8e4d3e9aa.jpg', 'username': None, 'uploaded_at': 1633441829, 'text': 'IMG_20210921_163648.jpg'}, {'photo_id': 1054572537, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/5/e7bb2e829c5bfe305d429b7dfb818d83.jpg', 'username': None, 'uploaded_at': 1633441829, 'text': 'IMG_20210921_164310.jpg'}]
0
[]
 elapsed_time : load_data_split_time_score 1.430511474609375e-06
 elapsed_time : order_list_meta_photo_and_scores 5.0067901611328125e-06
??? elapsed_time : fill_and_build_computed_from_old_data 0.0002384185791015625

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
13, 4599006, '2021-09-21'
) ON DUPLICATE KEY UPDATE  updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(145759,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.03284573554992676
---------- APPEND TASK BEGIN ----------

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(152846, '_______Plastique_fonce',
'2021-09-21 16:30:30', '2021-09-21 16:43:10',
0, 4599006,
0, 0,
'0', "{}"
);
---------- APPEND TASK END ----------
We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps 

        SELECT
        dri.dashboard_entry_day,
        dr.dashboard_run_id,
        dr.mtr_portfolio_id,
        dr.id,
        dr.hashtag,
        dr.completion_json
        FROM MTRPhoto.dashboard_results dr,
        MTRPhoto.dashboard_run_ids dri,
        MTRPhoto.dashboard_entry_day ded
        WHERE ded.id= 145759
        AND ded.last_run_id=dri.id
        AND dri.dashboard_entry_day=ded.id
        AND dri.id=dr.dashboard_run_id
        
[{'dashboat_entry_day': 145759, 'dashboard_run_id': 152846, 'mtr_portfolio_id': 4599006, 'dashboard_result_id': 8651722, 'hashtag': '_______Plastique_fonce', 'completion_json': '{}'}]
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4599006
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3759
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 4599006
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=3759
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 3759 and mtr_portfolio_id = 4599006 order by file_id desc limit 1
select url from MTRUser.mtr_files where text like '%4599006%' order by file_id desc limit 1
find url: 
select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 4599006 order by id desc limit 1
update  MTRPhoto.dashboard_results set completion_json  = "{'url_report': ''}" 
                where mtr_portfolio_id = 4599006 and dashboard_run_id = 152846
SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos
WHERE mtr_portfolio_id IN (4599006)
 result : ((1054572532,), (1054572534,), (1054572537,))
 NUMBER BATCH : 0
# DISPLAY ALL COLLECTED DATA : 
{'21092021': {'nb_upload': 3, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4505992 group by h
(('12', 1), ('-0', 3))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4505992  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4505992)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4505992)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
21092021 4505992 Nombre de photos uploadées : 1 / 23040 (0%)
21092021 4505992 Nombre de photos taguées (types de déchets): 0 / 1 (0%)
21092021 4505992 Nombre de photos taguées (volume) : 0 / 1 (0%)
[{'photo_id': 1051605195, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/21/4cd66aff3fb05d55424e3583f716f45c.jpg', 'username': None, 'uploaded_at': 1632215726, 'text': 'IMG_20210921_111217.jpg'}]
0
[]
 elapsed_time : load_data_split_time_score 3.0994415283203125e-06
 elapsed_time : order_list_meta_photo_and_scores 8.106231689453125e-06
? elapsed_time : fill_and_build_computed_from_old_data 0.0004246234893798828

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
13, 4505992, '2021-09-21'
) ON DUPLICATE KEY UPDATE  updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(145759,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.027677297592163086
---------- APPEND TASK BEGIN ----------

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(152846, '_______Plastique_fonce',
'2021-09-21 11:12:17', '2021-09-21 11:12:17',
0, 4505992,
0, 0,
'0', "{}"
);
---------- APPEND TASK END ----------
We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps 

        SELECT
        dri.dashboard_entry_day,
        dr.dashboard_run_id,
        dr.mtr_portfolio_id,
        dr.id,
        dr.hashtag,
        dr.completion_json
        FROM MTRPhoto.dashboard_results dr,
        MTRPhoto.dashboard_run_ids dri,
        MTRPhoto.dashboard_entry_day ded
        WHERE ded.id= 145759
        AND ded.last_run_id=dri.id
        AND dri.dashboard_entry_day=ded.id
        AND dri.id=dr.dashboard_run_id
        
[{'dashboat_entry_day': 145759, 'dashboard_run_id': 152846, 'mtr_portfolio_id': 4599006, 'dashboard_result_id': 8651722, 'hashtag': '_______Plastique_fonce', 'completion_json': "{'url_report': ''}"}, {'dashboat_entry_day': 145759, 'dashboard_run_id': 152846, 'mtr_portfolio_id': 4505992, 'dashboard_result_id': 8651723, 'hashtag': '_______Plastique_fonce', 'completion_json': '{}'}]
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4599006
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3759
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 4599006
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=3759
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 3759 and mtr_portfolio_id = 4599006 order by file_id desc limit 1
select url from MTRUser.mtr_files where text like '%4599006%' order by file_id desc limit 1
find url: 
select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 4599006 order by id desc limit 1
update  MTRPhoto.dashboard_results set completion_json  = "{'url_report': ''}" 
                where mtr_portfolio_id = 4599006 and dashboard_run_id = 152846
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4505992
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3759
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 4505992
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=3759
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 3759 and mtr_portfolio_id = 4505992 order by file_id desc limit 1
select url from MTRUser.mtr_files where text like '%4505992%' order by file_id desc limit 1
find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4505992_21-09-2021.pdf
select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 4505992 order by id desc limit 1
update  MTRPhoto.dashboard_results set completion_json  = "{'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4505992_21-09-2021.pdf'}" 
                where mtr_portfolio_id = 4505992 and dashboard_run_id = 152846
SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos
WHERE mtr_portfolio_id IN (4599006,4505992)
 result : ((1051605195,), (1051615607,), (1051615609,), (1051615610,), (1054572532,), (1054572534,), (1054572537,))
 NUMBER BATCH : 0
# DISPLAY ALL COLLECTED DATA : 
{'21092021': {'nb_upload': 1, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 2.615708589553833
time spend to save output : 0.0035161972045898438
total time spend for step 1 : 2.619224786758423

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1054572537, 1054572534, 1054572532, 1051605195]
 map_info['map_portfolio_photo'] : {4599006: [1054572537, 1054572534, 1054572532], 4505992: [1051605195]}
 final :  True mtd_id 3856 list_pids : [1054572537, 1054572534, 1054572532, 1051605195]
Looping around the photos to save general results
len do output : 2
/4599006Didn't retrieve data
.
/4505992Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c7658b0>
Managing all output in save final without adding information in the mtr_datou_result 
('3856', None, None, None, None, None, None, None, None)
('3856', '4599006', '1054572537', None, None, None, None, None, None)
('3856', None, None, None, None, None, None, None, None)
('3856', '4599006', '1054572534', None, None, None, None, None, None)
('3856', None, None, None, None, None, None, None, None)
('3856', '4599006', '1054572532', None, None, None, None, None, None)
('3856', None, None, None, None, None, None, None, None)
('3856', '4505992', '1051605195', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3856', None, '4599006', 'None', None, None, None, None, None), ('3856', None, '4505992', 'None', None, None, None, None, None), ('3856', '4599006', '1054572537', None, None, None, None, None, None), ('3856', '4599006', '1054572534', None, None, None, None, None, None), ('3856', '4599006', '1054572532', None, None, None, None, None, None), ('3856', '4505992', '1051605195', None, None, None, None, None, None)]
time used for this insertion : 0.04710102081298828
 save_final 

save missing photos in datou_result :
After save, about to update current !

        SELECT dashboard_run_id FROM MTRPhoto.dashboard_results where mtr_portfolio_id = 4599006
        

############################### TEST rubbia_horaire  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3181

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3181
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3181
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3181
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3609515) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3609515)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1014106095, 'portfolio_id': 3609515}, {'photo_id': 1014106094, 'portfolio_id': 3609515}, {'photo_id': 1014106093, 'portfolio_id': 3609515}, {'photo_id': 1014105800, 'portfolio_id': 3609515}, {'photo_id': 1014105799, 'portfolio_id': 3609515}, {'photo_id': 1014105798, 'portfolio_id': 3609515}, {'photo_id': 1014105797, 'portfolio_id': 3609515}, {'photo_id': 1014105796, 'portfolio_id': 3609515}, {'photo_id': 1014105795, 'portfolio_id': 3609515}, {'photo_id': 1014105791, 'portfolio_id': 3609515}, {'photo_id': 1014105790, 'portfolio_id': 3609515}, {'photo_id': 1014105786, 'portfolio_id': 3609515}, {'photo_id': 1014105785, 'portfolio_id': 3609515}, {'photo_id': 1014105784, 'portfolio_id': 3609515}, {'photo_id': 1014105783, 'portfolio_id': 3609515}, {'photo_id': 1014105782, 'portfolio_id': 3609515}, {'photo_id': 1014105781, 'portfolio_id': 3609515}, {'photo_id': 1014105778, 'portfolio_id': 3609515}, {'photo_id': 1014105777, 'portfolio_id': 3609515}, {'photo_id': 1014099035, 'portfolio_id': 3609515}, {'photo_id': 1014098602, 'portfolio_id': 3609515}, {'photo_id': 1014098236, 'portfolio_id': 3609515}, {'photo_id': 1014097924, 'portfolio_id': 3609515}, {'photo_id': 1014097580, 'portfolio_id': 3609515}, {'photo_id': 1014097499, 'portfolio_id': 3609515}, {'photo_id': 1014097497, 'portfolio_id': 3609515}, {'photo_id': 1014097492, 'portfolio_id': 3609515}, {'photo_id': 1014054235, 'portfolio_id': 3609515}, {'photo_id': 1014054234, 'portfolio_id': 3609515}, {'photo_id': 1014054233, 'portfolio_id': 3609515}, {'photo_id': 1014054232, 'portfolio_id': 3609515}, {'photo_id': 1014054231, 'portfolio_id': 3609515}, {'photo_id': 1014054230, 'portfolio_id': 3609515}]
 map_portfolio_id_photo_id: {3609515: [1014106095, 1014106094, 1014106093, 1014105800, 1014105799, 1014105798, 1014105797, 1014105796, 1014105795, 1014105791, 1014105790, 1014105786, 1014105785, 1014105784, 1014105783, 1014105782, 1014105781, 1014105778, 1014105777, 1014099035, 1014098602, 1014098236, 1014097924, 1014097580, 1014097499, 1014097497, 1014097492, 1014054235, 1014054234, 1014054233, 1014054232, 1014054231, 1014054230]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.3197810649871826
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score
Sun Feb  2 03:43:59 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 3609515 group by h
(('02', 6), ('05', 8), ('06', 19))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=3609515  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (3609515)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (3609515)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
08032021 3609515 Nombre de photos uploadées : 33 / 23040 (0%)
08032021 3609515 Nombre de photos taguées (types de déchets): 0 / 33 (0%)
08032021 3609515 Nombre de photos taguées (volume) : 0 / 33 (0%)
[{'photo_id': 1014054233, 'url': 'https://s3-eu-west-1.amazonaws.com/photo.fotonower.com/2021/3/8/7b7625f3e3d6b1c188adbbc3cb328bdf.jpg', 'username': None, 'uploaded_at': 1615177397, 'text': 'image_08032021_02_08_09_034455m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'}, {'photo_id': 1014054232, 'url': 'https://s3-eu-west-1.amazonaws.com/photo.fotonower.com/2021/3/8/34274adf797a96624e0c26e2d60facd7.jpg', 'username': None, 'uploaded_at': 1615177397, 'text': 'image_08032021_02_08_13_039073m0.jpg 2e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'}, {'photo_id': 1014054231, 'url': 'https://s3-eu-west-1.amazonaws.com/photo.fotonower.com/2021/3/8/4e0df418bccd7a484aadeef86e02b28d.jpg', 'username': None, 'uploaded_at': 1615177397, 'text': 'image_08032021_02_08_17_045370m0.jpg 3.0000000000000004e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'}, {'photo_id': 1014054230, 'url': 'https://s3-eu-west-1.amazonaws.com/photo.fotonower.com/2021/3/8/4d30f9d1ccb7fa68b9b9678acfcef613.jpg', 'username': None, 'uploaded_at': 1615177397, 'text': 'image_08032021_02_08_21_051026m0.jpg 4e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'}]
0
[]
 elapsed_time : load_data_split_time_score 1.6689300537109375e-06
 elapsed_time : order_list_meta_photo_and_scores 5.0067901611328125e-06
????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0013515949249267578

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
10, 3609515, '2021-03-08'
) ON DUPLICATE KEY UPDATE mtr_portfolio_id=VALUES(mtr_portfolio_id), updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(34064,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.05361533164978027

 Creating list_photo_total 

 in select_descriptors : SELECT `photo_id`, `type_store` FROM MTRPhoto.photo_desc_search
        WHERE photo_id IN (1014054233,1014054232,1014054231,1014054230,1014054235,1014054234,1014097492,1014097499,1014097497,1014097580,1014097924,1014098236,1014098602,1014099035,1014105778,1014105777,1014105784,1014105783,1014105782,1014105781,1014105786,1014105785,1014105791,1014105790,1014105798,1014105797,1014105796,1014105795,1014105800,1014105799,1014106095,1014106094,1014106093) AND `type`=3963
 elapsed_time : select_descriptors 0.1290607452392578
08032021 3609515 Nombre de photos avec descriptors (type 3963) : 0 / 33 (0%)
Missing descriptors for photos 0 and 1014054233
0:00:00|ON:Missing descriptors for photos 1014054233 and 1014054232
Missing descriptors for photos 1014054232 and 1014054231
Missing descriptors for photos 1014054231 and 1014054230
Missing descriptors for photos 1014054230 and 1014054235
Missing descriptors for photos 1014054235 and 1014054234
Missing descriptors for photos 1014054234 and 1014097492
Missing descriptors for photos 1014097492 and 1014097499
Missing descriptors for photos 1014097499 and 1014097497
Missing descriptors for photos 1014097497 and 1014097580
Missing descriptors for photos 1014097580 and 1014097924
Missing descriptors for photos 1014097924 and 1014098236
Missing descriptors for photos 1014098236 and 1014098602
Missing descriptors for photos 1014098602 and 1014099035
Missing descriptors for photos 1014099035 and 1014105778
Missing descriptors for photos 1014105778 and 1014105777
Missing descriptors for photos 1014105777 and 1014105784
Missing descriptors for photos 1014105784 and 1014105783
Missing descriptors for photos 1014105783 and 1014105782
Missing descriptors for photos 1014105782 and 1014105781
Missing descriptors for photos 1014105781 and 1014105786
Missing descriptors for photos 1014105786 and 1014105785
Missing descriptors for photos 1014105785 and 1014105791
Missing descriptors for photos 1014105791 and 1014105790
Missing descriptors for photos 1014105790 and 1014105798
Missing descriptors for photos 1014105798 and 1014105797
Missing descriptors for photos 1014105797 and 1014105796
Missing descriptors for photos 1014105796 and 1014105795
Missing descriptors for photos 1014105795 and 1014105800
Missing descriptors for photos 1014105800 and 1014105799
Missing descriptors for photos 1014105799 and 1014106095
Missing descriptors for photos 1014106095 and 1014106094
Missing descriptors for photos 1014106094 and 1014106093

 08032021 Removing 0 photos because of the 'same image' condition
 list_time_on : 0 first ten : []
 list_time_off : 1 first ten : [datetime.timedelta(0)]
Total on : 0
Total off : 0.0
list_time_off
{'nb': 1, 'mean': 0.0, 'stddev': 0, 'min': 0.0, 'max': 0.0, 'quantil_10': {'min': [0.0], 'max': [0.0]}, 'quantil_100': {'min': [0.0], 'max': [0.0]}, 'quantil_1000': {'min': [0.0], 'max': [0.0]}, 'quantil_5000': {'min': [0.0], 'max': [0.0]}, 'quantil_10000': {'min': [0.0], 'max': [0.0]}}
Warning in study_and_display_distrib_list : min=max : 0.0 0.0


dist_desc
Warning in study_and_display_distrib_list : min=max : -1 -1




begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 33
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1014054233, 2107752370, 1539)
...
 last line : (1014106093, 2107752371, 1539)
time used for this insertion : 0.16882944107055664
  photos_removed : len 0
 elapsed_time : remove_photo_duplicate 0.23235774040222168
To do, maybe not at the correct place !
.................................force hashtag to JRM
 elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.004966020584106445
 NUMBER BATCH : 3
 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm']
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 0
 elapsed_time : count_nb_balles_and_create_portfolio 0.03179621696472168
# DISPLAY ALL COLLECTED DATA : 
{'08032021': {'nb_upload': 33, 'nb_taggue_class': 0, 'nb_taggue_densite': 0, 'nb_descriptors': 0}}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.5651586055755615
time spend to save output : 3.4332275390625e-05
total time spend for step 1 : 0.5651929378509521

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1014106095, 1014106094, 1014106093, 1014105800, 1014105799, 1014105798, 1014105797, 1014105796, 1014105795, 1014105791, 1014105790, 1014105786, 1014105785, 1014105784, 1014105783, 1014105782, 1014105781, 1014105778, 1014105777, 1014099035, 1014098602, 1014098236, 1014097924, 1014097580, 1014097499, 1014097497, 1014097492, 1014054235, 1014054234, 1014054233, 1014054232, 1014054231, 1014054230]
 map_info['map_portfolio_photo'] : {3609515: [1014106095, 1014106094, 1014106093, 1014105800, 1014105799, 1014105798, 1014105797, 1014105796, 1014105795, 1014105791, 1014105790, 1014105786, 1014105785, 1014105784, 1014105783, 1014105782, 1014105781, 1014105778, 1014105777, 1014099035, 1014098602, 1014098236, 1014097924, 1014097580, 1014097499, 1014097497, 1014097492, 1014054235, 1014054234, 1014054233, 1014054232, 1014054231, 1014054230]}
 final :  True mtd_id 3181 list_pids : [1014106095, 1014106094, 1014106093, 1014105800, 1014105799, 1014105798, 1014105797, 1014105796, 1014105795, 1014105791, 1014105790, 1014105786, 1014105785, 1014105784, 1014105783, 1014105782, 1014105781, 1014105778, 1014105777, 1014099035, 1014098602, 1014098236, 1014097924, 1014097580, 1014097499, 1014097497, 1014097492, 1014054235, 1014054234, 1014054233, 1014054232, 1014054231, 1014054230]
Looping around the photos to save general results
len do output : 1
/3609515Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c765490>
Managing all output in save final without adding information in the mtr_datou_result 
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014106095', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014106094', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014106093', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105800', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105799', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105798', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105797', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105796', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105795', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105791', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105790', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105786', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105785', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105784', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105783', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105782', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105781', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105778', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105777', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014099035', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014098602', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014098236', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097924', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097580', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097499', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097497', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097492', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054235', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054234', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054233', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054232', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054231', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054230', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 34
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3181', None, '3609515', 'None', None, None, None, None, None), ('3181', '3609515', '1014106095', None, None, None, None, None, None), ('3181', '3609515', '1014106094', None, None, None, None, None, None), ('3181', '3609515', '1014106093', None, None, None, None, None, None), ('3181', '3609515', '1014105800', None, None, None, None, None, None), ('3181', '3609515', '1014105799', None, None, None, None, None, None), ('3181', '3609515', '1014105798', None, None, None, None, None, None), ('3181', '3609515', '1014105797', None, None, None, None, None, None), ('3181', '3609515', '1014105796', None, None, None, None, None, None), ('3181', '3609515', '1014105795', None, None, None, None, None, None), ('3181', '3609515', '1014105791', None, None, None, None, None, None), ('3181', '3609515', '1014105790', None, None, None, None, None, None), ('3181', '3609515', '1014105786', None, None, None, None, None, None), ('3181', '3609515', '1014105785', None, None, None, None, None, None), ('3181', '3609515', '1014105784', None, None, None, None, None, None), ('3181', '3609515', '1014105783', None, None, None, None, None, None), ('3181', '3609515', '1014105782', None, None, None, None, None, None), ('3181', '3609515', '1014105781', None, None, None, None, None, None), ('3181', '3609515', '1014105778', None, None, None, None, None, None), ('3181', '3609515', '1014105777', None, None, None, None, None, None), ('3181', '3609515', '1014099035', None, None, None, None, None, None), ('3181', '3609515', '1014098602', None, None, None, None, None, None), ('3181', '3609515', '1014098236', None, None, None, None, None, None), ('3181', '3609515', '1014097924', None, None, None, None, None, None), ('3181', '3609515', '1014097580', None, None, None, None, None, None), ('3181', '3609515', '1014097499', None, None, None, None, None, None), ('3181', '3609515', '1014097497', None, None, None, None, None, None), ('3181', '3609515', '1014097492', None, None, None, None, None, None), ('3181', '3609515', '1014054235', None, None, None, None, None, None), ('3181', '3609515', '1014054234', None, None, None, None, None, None), ('3181', '3609515', '1014054233', None, None, None, None, None, None), ('3181', '3609515', '1014054232', None, None, None, None, None, None), ('3181', '3609515', '1014054231', None, None, None, None, None, None), ('3181', '3609515', '1014054230', None, None, None, None, None, None)]
time used for this insertion : 0.1562204360961914
 save_final 

save missing photos in datou_result :
After save, about to update current !
{'3609515': ([[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11, 12, 13], [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]], {'Rungis_JRM': []}, {}, {2107757407: 0}, {'amount_uploaded_and_tagged': {'08032021': {'nb_upload': 33, 'nb_taggue_class': 0, 'nb_taggue_densite': 0, 'nb_descriptors': 0}}, 'map_amount_per_hashtag': {'Rungis_JRM': []}, 'count': {'Rungis_JRM': []}})}
got : {'Rungis_JRM': []}
expected : {'Rungis_JRM': [(0, 1), (1, 2), (2, 3)]}
ERROR rubbia_horaire FAILED

############################### TEST rle_unique_nms_with_priority  ################################
t
SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=998957128 AND `type`=2805
DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3649183112,3649183113,3649183114,3649183115,3649183116,3649183117,3649183118,3649183119,3649183120,3649183121) 
SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=996751167 AND `type`=2805
DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3649183284,3649183257,3649183285,3649183264,3649183247,3649183261,3649183244,3649183275,3649183263,3649183254,3649183282,3649183266,3649183271,3649183272,3649183277,3649183274,3649183250,3649183279,3649183255,3649183258,3649183273,3649183281,3649183260,3649183265,3649183256,3649183246,3649183270,3649183276,3649183248,3649183243,3649183252,3649183245,3649183262,3649183280,3649183267,3649183253,3649183269,3649183268,3649183251,3649183278,3649183283,3649183249,3649183259,3649183242) 
DELETE FROM MTRPhoto.photo_carac_ratio WHERE hashtag_type=2805;
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2548

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2548
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2548
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2548
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rle_unique_nms_with_priority
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (998957128) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 998957128
download finish for photo 998957128
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.12155270576477051
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rle_unique_nms_with_priority
Sun Feb  2 03:44:04 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464244_2241491_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg': 998957128}
map_photo_id_path_extension : {998957128: {'path': 'temp/1738464244_2241491_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738464244_2241491_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 998957128) and `type` in (2804) and hashtag_id in (2107754127,2107755994) 
Loaded 10 chid ids of type : 2804
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1872612725,1872612726,1872612727,1872612728,1872612729,1872612730,1872612731,1872612732,1872612733,1872612734)
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1872612725,1872612726,1872612727,1872612728,1872612729,1872612730,1872612731,1872612732,1872612733,1872612734)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1872612725,1872612726,1872612727,1872612728,1872612729,1872612730,1872612731,1872612732,1872612733,1872612734)
nb_obj : 10
nb_hashtags :  2
time to prepare the origin masks  : 0.6854865550994873
time for calcul the mask position with numpy : 0.003931760787963867
nb_pixel_total : 217207
time to create 1 rle with new method : 0.038110971450805664
time for calcul the mask position with numpy : 0.002714872360229492
nb_pixel_total : 1008
time to create 1 rle with old method : 0.001129150390625
time for calcul the mask position with numpy : 0.002779245376586914
nb_pixel_total : 751
time to create 1 rle with old method : 0.0008897781372070312
time for calcul the mask position with numpy : 0.0027136802673339844
nb_pixel_total : 722
time to create 1 rle with old method : 0.0008032321929931641
time for calcul the mask position with numpy : 0.0028192996978759766
nb_pixel_total : 2949
time to create 1 rle with old method : 0.0031321048736572266
time for calcul the mask position with numpy : 0.0027632713317871094
nb_pixel_total : 497
time to create 1 rle with old method : 0.000560760498046875
time for calcul the mask position with numpy : 0.002469778060913086
nb_pixel_total : 1086
time to create 1 rle with old method : 0.0012383460998535156
time for calcul the mask position with numpy : 0.0025517940521240234
nb_pixel_total : 1924
time to create 1 rle with old method : 0.0022072792053222656
time for calcul the mask position with numpy : 0.002452850341796875
nb_pixel_total : 413
time to create 1 rle with old method : 0.0005357265472412109
time for calcul the mask position with numpy : 0.0027923583984375
nb_pixel_total : 526
time to create 1 rle with old method : 0.0005731582641601562
create new chi : 0.07743501663208008
 proportion hashtag : balle_pet_clair 0.23568467881944444
 proportion hashtag : contaminant_du_pet_clair 0.010716145833333333
time to delete rle : 0.01620626449584961
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 10 chid ids of type : 2805
Number RLEs to save : 1674
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649471321', '538', '174', '1')
...
 last line : ('3649471330', '691', '285', '1')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
save time : 6.711520671844482
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {998957128: (0.0, 'Should be the crop_list due to order', 0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 8.110429286956787
time spend to save output : 7.009506225585938e-05
total time spend for step 1 : 8.110499382019043

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {998957128: (0.0, 'Should be the crop_list due to order', 0)}
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2573

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2573
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2573
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2573
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rle_unique_nms_with_priority
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1066511071) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 1066511071
download finish for photo 1066511071
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.2656583786010742
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rle_unique_nms_with_priority
Sun Feb  2 03:44:13 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464253_2241491_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg': 1066511071}
map_photo_id_path_extension : {1066511071: {'path': 'temp/1738464253_2241491_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738464253_2241491_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1066511071) and `type` in (4169) and hashtag_id in (492774966,492668766,538914404) 
Loaded 10 chid ids of type : 4169
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2256126232,2256126224,2256126221,2256126220,2256126223,2256126225,2256126229,2256126228,2256126222,2256126218)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2256126232,2256126224,2256126221,2256126220,2256126223,2256126225,2256126229,2256126228,2256126222,2256126218)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2256126232,2256126224,2256126221,2256126220,2256126223,2256126225,2256126229,2256126228,2256126222,2256126218)
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 10 chid ids of type : 2805
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.32175326347351074
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1066511071: (0.0, 'Should be the crop_list due to order', 0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.7068829536437988
time spend to save output : 4.4345855712890625e-05
total time spend for step 1 : 0.7069272994995117

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1066511071: (0.0, 'Should be the crop_list due to order', 0)}
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2574

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2574
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2574
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2574
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rle_unique_nms_with_priority
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (996751167) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 996751167
download finish for photo 996751167
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.2597529888153076
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rle_unique_nms_with_priority
Sun Feb  2 03:44:14 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464254_2241491_996751167_a4a67aed9b2473876b59443347f3912e.jpg': 996751167}
map_photo_id_path_extension : {996751167: {'path': 'temp/1738464254_2241491_996751167_a4a67aed9b2473876b59443347f3912e.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738464254_2241491_996751167_a4a67aed9b2473876b59443347f3912e.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 996751167) and `type` in (2596)  and score>0.5and hashtag_id in (492622729,501120777) 
Loaded 91 chid ids of type : 2596
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028)
+++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028)
nb_obj : 43
nb_hashtags :  2
time to prepare the origin masks  : 16.48130774497986
time for calcul the mask position with numpy : 0.4536447525024414
nb_pixel_total : 5233657
time to create 1 rle with new method : 0.802513599395752
time for calcul the mask position with numpy : 0.03182721138000488
nb_pixel_total : 11972
time to create 1 rle with old method : 0.013113260269165039
time for calcul the mask position with numpy : 0.03836941719055176
nb_pixel_total : 15054
time to create 1 rle with old method : 0.019333839416503906
time for calcul the mask position with numpy : 0.033786773681640625
nb_pixel_total : 13954
time to create 1 rle with old method : 0.015101909637451172
time for calcul the mask position with numpy : 0.03196597099304199
nb_pixel_total : 4888
time to create 1 rle with old method : 0.005467414855957031
time for calcul the mask position with numpy : 0.04032611846923828
nb_pixel_total : 1188492
time to create 1 rle with new method : 0.9053399562835693
time for calcul the mask position with numpy : 0.03302645683288574
nb_pixel_total : 184585
time to create 1 rle with new method : 0.706902265548706
time for calcul the mask position with numpy : 0.033312320709228516
nb_pixel_total : 18620
time to create 1 rle with old method : 0.02131938934326172
time for calcul the mask position with numpy : 0.03352046012878418
nb_pixel_total : 62945
time to create 1 rle with old method : 0.0690755844116211
time for calcul the mask position with numpy : 0.03314638137817383
nb_pixel_total : 9427
time to create 1 rle with old method : 0.010795354843139648
time for calcul the mask position with numpy : 0.033243656158447266
nb_pixel_total : 9081
time to create 1 rle with old method : 0.010376691818237305
time for calcul the mask position with numpy : 0.033419132232666016
nb_pixel_total : 15987
time to create 1 rle with old method : 0.017563581466674805
time for calcul the mask position with numpy : 0.03363513946533203
nb_pixel_total : 33276
time to create 1 rle with old method : 0.037816762924194336
time for calcul the mask position with numpy : 0.0331873893737793
nb_pixel_total : 17533
time to create 1 rle with old method : 0.020134687423706055
time for calcul the mask position with numpy : 0.033380746841430664
nb_pixel_total : 4876
time to create 1 rle with old method : 0.005579710006713867
time for calcul the mask position with numpy : 0.033336639404296875
nb_pixel_total : 25226
time to create 1 rle with old method : 0.028824806213378906
time for calcul the mask position with numpy : 0.03296089172363281
nb_pixel_total : 30773
time to create 1 rle with old method : 0.03363037109375
time for calcul the mask position with numpy : 0.0323028564453125
nb_pixel_total : 65671
time to create 1 rle with old method : 0.07050275802612305
time for calcul the mask position with numpy : 0.03316664695739746
nb_pixel_total : 12230
time to create 1 rle with old method : 0.013537406921386719
time for calcul the mask position with numpy : 0.032579660415649414
nb_pixel_total : 29560
time to create 1 rle with old method : 0.03149819374084473
time for calcul the mask position with numpy : 0.032620906829833984
nb_pixel_total : 14310
time to create 1 rle with old method : 0.016101598739624023
time for calcul the mask position with numpy : 0.032721519470214844
nb_pixel_total : 15117
time to create 1 rle with old method : 0.017275333404541016
time for calcul the mask position with numpy : 0.03459429740905762
nb_pixel_total : 301487
time to create 1 rle with new method : 0.5982575416564941
time for calcul the mask position with numpy : 0.03374052047729492
nb_pixel_total : 29821
time to create 1 rle with old method : 0.03207993507385254
time for calcul the mask position with numpy : 0.03368544578552246
nb_pixel_total : 40299
time to create 1 rle with old method : 0.04552316665649414
time for calcul the mask position with numpy : 0.032323598861694336
nb_pixel_total : 12680
time to create 1 rle with old method : 0.013263463973999023
time for calcul the mask position with numpy : 0.031328439712524414
nb_pixel_total : 9449
time to create 1 rle with old method : 0.009737730026245117
time for calcul the mask position with numpy : 0.032010793685913086
nb_pixel_total : 15168
time to create 1 rle with old method : 0.015957117080688477
time for calcul the mask position with numpy : 0.03148531913757324
nb_pixel_total : 11140
time to create 1 rle with old method : 0.011799097061157227
time for calcul the mask position with numpy : 0.032566070556640625
nb_pixel_total : 29065
time to create 1 rle with old method : 0.031641483306884766
time for calcul the mask position with numpy : 0.03295302391052246
nb_pixel_total : 22774
time to create 1 rle with old method : 0.024866819381713867
time for calcul the mask position with numpy : 0.03330826759338379
nb_pixel_total : 13880
time to create 1 rle with old method : 0.01592230796813965
time for calcul the mask position with numpy : 0.03385329246520996
nb_pixel_total : 155366
time to create 1 rle with new method : 0.5847082138061523
time for calcul the mask position with numpy : 0.0339970588684082
nb_pixel_total : 63941
time to create 1 rle with old method : 0.06815004348754883
time for calcul the mask position with numpy : 0.032037973403930664
nb_pixel_total : 7836
time to create 1 rle with old method : 0.008243083953857422
time for calcul the mask position with numpy : 0.03519773483276367
nb_pixel_total : 7460
time to create 1 rle with old method : 0.008779525756835938
time for calcul the mask position with numpy : 0.03201580047607422
nb_pixel_total : 44600
time to create 1 rle with old method : 0.045809030532836914
time for calcul the mask position with numpy : 0.031986236572265625
nb_pixel_total : 11879
time to create 1 rle with old method : 0.012080669403076172
time for calcul the mask position with numpy : 0.031159639358520508
nb_pixel_total : 44195
time to create 1 rle with old method : 0.04480600357055664
time for calcul the mask position with numpy : 0.03170490264892578
nb_pixel_total : 23652
time to create 1 rle with old method : 0.024330854415893555
time for calcul the mask position with numpy : 0.031310319900512695
nb_pixel_total : 30006
time to create 1 rle with old method : 0.030281782150268555
time for calcul the mask position with numpy : 0.03117227554321289
nb_pixel_total : 15880
time to create 1 rle with old method : 0.01686882972717285
time for calcul the mask position with numpy : 0.03189396858215332
nb_pixel_total : 29845
time to create 1 rle with old method : 0.030909299850463867
time for calcul the mask position with numpy : 0.03186321258544922
nb_pixel_total : 144263
time to create 1 rle with old method : 0.15270686149597168
create new chi : 6.710282325744629
 proportion hashtag : error 0.14340033061450744
 proportion hashtag : environment 0.209023722085841
 proportion hashtag : pet_fonce 0.6475759472996516
time to delete rle : 0.4005136489868164
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 44 chid ids of type : 2805
Number RLEs to save : 27884
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649471344', '0', '0', '3280')
...
 last line : ('3649471387', '2459', '2462', '1')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
save time : 14.593804597854614
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {996751167: (1.0, 'Should be the crop_list due to order', 1.0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 38.43659543991089
time spend to save output : 0.00014495849609375
total time spend for step 1 : 38.43674039840698

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {996751167: (1.0, 'Should be the crop_list due to order', 1.0)}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 998957128,996751167) and `type` in (2805) 
Loaded 54 chid ids of type : 2805
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3649471321,3649471322,3649471323,3649471324,3649471325,3649471326,3649471327,3649471328,3649471329,3649471330,3649471344,3649471345,3649471346,3649471347,3649471348,3649471349,3649471350,3649471351,3649471352,3649471353,3649471354,3649471355,3649471356,3649471357,3649471358,3649471359,3649471360,3649471361,3649471362,3649471363,3649471364,3649471365,3649471366,3649471367,3649471368,3649471369,3649471370,3649471371,3649471372,3649471373,3649471374,3649471375,3649471376,3649471377,3649471378,3649471379,3649471380,3649471381,3649471382,3649471383,3649471384,3649471385,3649471386,3649471387)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649471321,3649471322,3649471323,3649471324,3649471325,3649471326,3649471327,3649471328,3649471329,3649471330,3649471344,3649471345,3649471346,3649471347,3649471348,3649471349,3649471350,3649471351,3649471352,3649471353,3649471354,3649471355,3649471356,3649471357,3649471358,3649471359,3649471360,3649471361,3649471362,3649471363,3649471364,3649471365,3649471366,3649471367,3649471368,3649471369,3649471370,3649471371,3649471372,3649471373,3649471374,3649471375,3649471376,3649471377,3649471378,3649471379,3649471380,3649471381,3649471382,3649471383,3649471384,3649471385,3649471386,3649471387)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649471321,3649471322,3649471323,3649471324,3649471325,3649471326,3649471327,3649471328,3649471329,3649471330,3649471344,3649471345,3649471346,3649471347,3649471348,3649471349,3649471350,3649471351,3649471352,3649471353,3649471354,3649471355,3649471356,3649471357,3649471358,3649471359,3649471360,3649471361,3649471362,3649471363,3649471364,3649471365,3649471366,3649471367,3649471368,3649471369,3649471370,3649471371,3649471372,3649471373,3649471374,3649471375,3649471376,3649471377,3649471378,3649471379,3649471380,3649471381,3649471382,3649471383,3649471384,3649471385,3649471386,3649471387)
SELECT * FROM MTRPhoto.photo_carac_ratio WHERE hashtag_type=2805;

############################### TEST random_deformation  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2896

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2896
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2896
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2896
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : random_deformation
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3288640) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3288640)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1006293201, 'portfolio_id': 3288640}]
 map_portfolio_id_photo_id: {3288640: [1006293201]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1006293201
download finish for photo 1006293201
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.15710067749023438
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:random_deformation
Sun Feb  2 03:45:03 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464303_2241491_1006293201_ac133c4479fdab9f9d690f3bcbac83df.jpg': 1006293201}
map_photo_id_path_extension : {1006293201: {'path': 'temp/1738464303_2241491_1006293201_ac133c4479fdab9f9d690f3bcbac83df.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

beginning of datou step random deformation
get user info for portfolio 3288640
on traite la photo : 1006293201

About to upload 4 photos
upload in portfolio : 3287159
init cache_photo without model_param  
we have 4 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1738464306_2241491
we have uploaded 4 photos in the portfolio 3287159

time of upload the photos Elapsed time : 1.3275606632232666


After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 3.9852147102355957
time spend to save output : 8.845329284667969e-05
total time spend for step 1 : 3.9853031635284424

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : random_deformation we use saveGeneral 
[1006293201]
 map_info['map_portfolio_photo'] : {3288640: [1006293201]}
 final :  True mtd_id 2896 list_pids : [1006293201]
Looping around the photos to save general results
len do output : 4
/1333831330Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1333831331Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1333831332Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1333831333Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c0fed30>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c0fe640>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c0fe970>
Managing all output in save final without adding information in the mtr_datou_result 
('2896', None, None, None, None, None, None, None, None)
('2896', '3288640', '1006293201', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 13
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('2896', None, '1333831330', 'None', None, None, None, None, None), ('2896', None, '1333831331', 'None', None, None, None, None, None), ('2896', None, '1333831332', 'None', None, None, None, None, None), ('2896', None, '1333831333', 'None', None, None, None, None, None), ('2896', '3288640', '1006293201', None, None, None, None, None, None)]
time used for this insertion : 0.015210390090942383
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1333831330: ['1006293201', 'temp/1006293201_random_deformation_0.png', []], 1333831331: ['1006293201', 'temp/1006293201_random_deformation_1.png', []], 1333831332: ['1006293201', 'temp/1006293201_random_deformation_2.png', []], 1333831333: ['1006293201', 'temp/1006293201_random_deformation_3.png', []]}
name 'urllib' is not defined
can't unload the photo : 1006293201
t

############################### TEST tile  ################################
test tile avec chi rectangles, rles, polygones
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2985

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2985
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2985
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2985
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : tile
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3341855) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3341855)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1008283903, 'portfolio_id': 3341855}]
 map_portfolio_id_photo_id: {3341855: [1008283903]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1008283903
download finish for photo 1008283903
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.32276296615600586
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:tile
Sun Feb  2 03:45:08 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg': 1008283903}
map_photo_id_path_extension : {1008283903: {'path': 'temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
verbose : True
 param_json : {'ETA': 3600, 'new_width': 640, 'new_height': 640, 'token': '5d93a4b2b749464f208c339a1324b78f', 'stride': 0, 'stride_relative': 0, 'portfolio_name': 'results_test_tile', 'crop_hashtag_type_tiled': 3243, 'crop_hashtag_type': 3242, 'arg_aux_upload': {'type_upload': 'python'}, 'host': 'www.fotonower.com'}
 type(crop_hashtag_type) : <class 'int'>
 type(crop_hashtag_type_tiled) : <class 'int'>
We consider crop_hashtag_type is an integer ! 
  map_chi_type_to_chi_type_cropped : {3242: 3243}
TO DEPRECATE VR 14-6-18
 map_filenames :  {1008283903: 'temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg'}
 list_pids :   1
 list_pids :   2
 list_subpids to replace list_pids : 0
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008283903,1008283903) and `type` in (3242) 
Loaded 2 chid ids of type : 3242
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1929991390,1929991392)
++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1929991390,1929991392)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1929991390,1929991392)
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=results_test_tile&access_token=5d93a4b2b749464f208c339a1324b78f
 created feed_id_new_photos : 20149274 with name results_test_tile
 feed_id_new_photos : 20149274
 filename : temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg
 photo_id : 1008283903
 height_image_input : 2464 width_image_input : 3280
 new_width : 640 new_height : 640
 stride : 0 stride_relative : 0
 chi to copy from the main photo to the tiled photo  input_chi_for_this_image_as_chi :  2
list_bib_to_crops : 24 [(0, 640, 0, 640, 0), (0, 640, 640, 1280, 1), (0, 640, 1280, 1920, 2), (0, 640, 1824, 2464, 3), (640, 1280, 0, 640, 4), (640, 1280, 640, 1280, 5), (640, 1280, 1280, 1920, 6), (640, 1280, 1824, 2464, 7), (1280, 1920, 0, 640, 8), (1280, 1920, 640, 1280, 9), (1280, 1920, 1280, 1920, 10), (1280, 1920, 1824, 2464, 11), (1920, 2560, 0, 640, 12), (1920, 2560, 640, 1280, 13), (1920, 2560, 1280, 1920, 14), (1920, 2560, 1824, 2464, 15), (2560, 3200, 0, 640, 16), (2560, 3200, 640, 1280, 17), (2560, 3200, 1280, 1920, 18), (2560, 3200, 1824, 2464, 19), (2640, 3280, 0, 640, 20), (2640, 3280, 640, 1280, 21), (2640, 3280, 1280, 1920, 22), (2640, 3280, 1824, 2464, 23)]
calcul des nouveaux crops pour le tile x0:0,x1:640,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:0,x1:640,y0:640,y1:1280
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:0,x1:640,y0:1280,y1:1920
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:0,x1:640,y0:1824,y1:2464
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:640,x1:1280,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:640,x1:1280,y0:640,y1:1280
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:640,x1:1280,y0:1280,y1:1920
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:640,x1:1280,y0:1824,y1:2464
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:640,y1:1280
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c1fdd00>]
calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:1280,y1:1920
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c1fdeb0>]
calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:1824,y1:2464
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c1fddf0>]
calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:0,y1:640
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c1fde20>]
calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:640,y1:1280
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c1fdf10>]
calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:1280,y1:1920
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c1fdb80>]
calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:1824,y1:2464
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306d90>]
calcul des nouveaux crops pour le tile x0:2560,x1:3200,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2560,x1:3200,y0:640,y1:1280
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2560,x1:3200,y0:1280,y1:1920
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2560,x1:3200,y0:1824,y1:2464
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2640,x1:3280,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2640,x1:3280,y0:640,y1:1280
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2640,x1:3280,y0:1280,y1:1920
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2640,x1:3280,y0:1824,y1:2464
chi selectionnes : []
 new_crops_tiles : 24 crop_transformed : 7
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
[(1008283903, 2090988864, 17, 0, 640, 0, 640, 1.0), (1008283903, 2090988864, 17, 0, 640, 640, 1280, 1.0), (1008283903, 2090988864, 17, 0, 640, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 0, 640, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 640, 1280, 0, 640, 1.0), (1008283903, 2090988864, 17, 640, 1280, 640, 1280, 1.0), (1008283903, 2090988864, 17, 640, 1280, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 640, 1280, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 1280, 1920, 0, 640, 1.0), (1008283903, 2090988864, 17, 1280, 1920, 640, 1280, 1.0), (1008283903, 2090988864, 17, 1280, 1920, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 1280, 1920, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 1920, 2560, 0, 640, 1.0), (1008283903, 2090988864, 17, 1920, 2560, 640, 1280, 1.0), (1008283903, 2090988864, 17, 1920, 2560, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 1920, 2560, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 2560, 3200, 0, 640, 1.0), (1008283903, 2090988864, 17, 2560, 3200, 640, 1280, 1.0), (1008283903, 2090988864, 17, 2560, 3200, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 2560, 3200, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 2640, 3280, 0, 640, 1.0), (1008283903, 2090988864, 17, 2640, 3280, 640, 1280, 1.0), (1008283903, 2090988864, 17, 2640, 3280, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 2640, 3280, 1824, 2464, 1.0)]
  list_photo_ids_cropped : [1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903) and `type` in (17) 
Loaded 24 chid ids of type : 17
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1930014930,1930014931,1930014932,1930014933,1930014934,1930014935,1930014936,1930014937,1930014938,1930014939,1930014940,1930014941,1930014942,1930014943,1930014944,1930014945,1930014946,1930014947,1930014948,1930014949,1930014950,1930014951,1930014952,1930014953)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1930014930,1930014931,1930014932,1930014933,1930014934,1930014935,1930014936,1930014937,1930014938,1930014939,1930014940,1930014941,1930014942,1930014943,1930014944,1930014945,1930014946,1930014947,1930014948,1930014949,1930014950,1930014951,1930014952,1930014953)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1930014930,1930014931,1930014932,1930014933,1930014934,1930014935,1930014936,1930014937,1930014938,1930014939,1930014940,1930014941,1930014942,1930014943,1930014944,1930014945,1930014946,1930014947,1930014948,1930014949,1930014950,1930014951,1930014952,1930014953)
treat the image : temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg
, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
before upload mediasElapsed time : 0.31557393074035645

on upload les photos avec python
init cache_photo without model_param  
we have 24 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1738464316_2241491
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `mtr_user_id`, `created_at`)
                  VALUES (20149274, 1333831336, 0, NOW()),(20149274, 1333831337, 0, NOW()),(20149274, 1333831338, 0, NOW()),(20149274, 1333831339, 0, NOW()),(20149274, 1333831340, 0, NOW()),(20149274, 1333831341, 0, NOW()),(20149274, 1333831342, 0, NOW()),(20149274, 1333831343, 0, NOW()),(20149274, 1333831344, 0, NOW()),(20149274, 1333831345, 0, NOW()),(20149274, 1333831346, 0, NOW()),(20149274, 1333831347, 0, NOW()),(20149274, 1333831348, 0, NOW()),(20149274, 1333831349, 0, NOW()),(20149274, 1333831350, 0, NOW()),(20149274, 1333831351, 0, NOW()),(20149274, 1333831352, 0, NOW()),(20149274, 1333831353, 0, NOW()),(20149274, 1333831354, 0, NOW()),(20149274, 1333831355, 0, NOW()),(20149274, 1333831356, 0, NOW()),(20149274, 1333831357, 0, NOW()),(20149274, 1333831358, 0, NOW()),(20149274, 1333831359, 0, NOW())
24
we have uploaded 24 photos in the portfolio 20149274
Importing !

upload mediasElapsed time : 6.386605739593506

, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(1930014930, 1333831336, 0), (1930014931, 1333831337, 0), (1930014932, 1333831338, 0), (1930014933, 1333831339, 0), (1930014934, 1333831340, 0), (1930014935, 1333831341, 0), (1930014936, 1333831342, 0), (1930014937, 1333831343, 0), (1930014938, 1333831344, 0), (1930014939, 1333831345, 0), (1930014940, 1333831346, 0), (1930014941, 1333831347, 0), (1930014942, 1333831348, 0), (1930014943, 1333831349, 0), (1930014944, 1333831350, 0), (1930014945, 1333831351, 0), (1930014946, 1333831352, 0), (1930014947, 1333831353, 0), (1930014948, 1333831354, 0), (1930014949, 1333831355, 0), (1930014950, 1333831356, 0), (1930014951, 1333831357, 0), (1930014952, 1333831358, 0), (1930014953, 1333831359, 0)]
Saving 7 CHIs.
list_chi_tile : ["<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333831345, 'hashtag_id': 511548407, 'type': 3243, 'x0': 180, 'x1': 640, 'y0': 611, 'y1': 640, 'score': 1.0, 'id': 0, 'points': ['311,640,292,640,268,640,240,640,229,640,223,640,188,640,181,640,180,640,186,640,211,640,216,640,211,640,211,640,244,640,242,640,261,640,275,640,298,640,357,640,380,640,409,640,548,640,557,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,635,640,628,640,628,576,621,543,612,490,611,424,621,352,640', '311,640,292,640,268,640,240,640,229,640,223,640,188,640,181,640,180,640,186,640,211,640,216,640,211,640,211,640,244,640,242,640,261,640,275,640,298,640,357,640,380,640,409,640,548,640,557,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,635,640,628,640,628,576,621,543,612,490,611,424,621,352,640'], 'sub_photo_id': 0, 'rles': [[1929991390, 487, 611, 30], [1929991390, 481, 612, 64], [1929991390, 474, 613, 75], [1929991390, 467, 614, 86], [1929991390, 461, 615, 95], [1929991390, 454, 616, 106], [1929991390, 448, 617, 116], [1929991390, 441, 618, 126], [1929991390, 434, 619, 137], [1929991390, 428, 620, 147], [1929991390, 423, 621, 158], [1929991390, 419, 622, 171], [1929991390, 415, 623, 185], [1929991390, 411, 624, 198], [1929991390, 408, 625, 210], [1929991390, 404, 626, 224], [1929991390, 400, 627, 237], [1929991390, 396, 628, 244], [1929991390, 392, 629, 248], [1929991390, 389, 630, 251], [1929991390, 385, 631, 255], [1929991390, 381, 632, 259], [1929991390, 377, 633, 263], [1929991390, 374, 634, 266], [1929991390, 370, 635, 270], [1929991390, 366, 636, 274], [1929991390, 362, 637, 278], [1929991390, 359, 638, 281], [1929991390, 355, 639, 285]], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333831346, 'hashtag_id': 511548407, 'type': 3243, 'x0': 180, 'x1': 640, 'y0': 0, 'y1': 640, 'score': 1.0, 'id': 0, 'points': ['311,11,292,25,268,58,240,82,229,100,223,127,188,148,181,171,180,226,186,327,211,393,216,463,211,472,211,487,238,640,244,640,242,640,261,640,275,640,298,640,357,640,380,640,409,640,548,640,557,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,625,640,566,640,542,640,454,640,388,640,346,640,295,640,246,640,125,640,99,640,63,640,28,640,27,640,17,640,8,640,9,640,0,640,0,640,0,640,0,576,0,543,0,490,0,424,0,352,0', '311,11,292,25,268,58,240,82,229,100,223,127,188,148,181,171,180,226,186,327,211,393,216,463,211,472,211,487,238,640,244,640,242,640,261,640,275,640,298,640,357,640,380,640,409,640,548,640,557,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,625,640,566,640,542,640,454,640,388,640,346,640,295,640,246,640,125,640,99,640,63,640,28,640,27,640,17,640,8,640,9,640,0,640,0,640,0,640,0,576,0,543,0,490,0,424,0,352,0'], 'sub_photo_id': 0, 'rles': [[1929991390, 351, 0, 289], [1929991390, 347, 1, 293], [1929991390, 344, 2, 296], [1929991390, 340, 3, 300], [1929991390, 336, 4, 304], [1929991390, 332, 5, 308], [1929991390, 328, 6, 312], [1929991390, 325, 7, 315], [1929991390, 321, 8, 319], [1929991390, 317, 9, 323], [1929991390, 313, 10, 327], [1929991390, 311, 11, 329], [1929991390, 309, 12, 331], [1929991390, 308, 13, 332], [1929991390, 307, 14, 333], [1929991390, 305, 15, 335], [1929991390, 304, 16, 336], [1929991390, 303, 17, 337], [1929991390, 301, 18, 339], [1929991390, 300, 19, 340], [1929991390, 299, 20, 341], [1929991390, 297, 21, 343], [1929991390, 296, 22, 344], [1929991390, 295, 23, 345], [1929991390, 293, 24, 347], [1929991390, 292, 25, 348], [1929991390, 291, 26, 349], [1929991390, 291, 27, 349], [1929991390, 290, 28, 350], [1929991390, 289, 29, 351], [1929991390, 288, 30, 352], [1929991390, 288, 31, 352], [1929991390, 287, 32, 353], [1929991390, 286, 33, 354], [1929991390, 285, 34, 355], [1929991390, 285, 35, 355], [1929991390, 284, 36, 356], [1929991390, 283, 37, 357], [1929991390, 283, 38, 357], [1929991390, 282, 39, 358], [1929991390, 281, 40, 359], [1929991390, 280, 41, 360], [1929991390, 280, 42, 360], [1929991390, 279, 43, 361], [1929991390, 278, 44, 362], [1929991390, 277, 45, 363], [1929991390, 277, 46, 363], [1929991390, 276, 47, 364], [1929991390, 275, 48, 365], [1929991390, 275, 49, 365], [1929991390, 274, 50, 366], [1929991390, 273, 51, 367], [1929991390, 272, 52, 368], [1929991390, 272, 53, 368], [1929991390, 271, 54, 369], [1929991390, 270, 55, 370], [1929991390, 269, 56, 371], [1929991390, 269, 57, 371], [1929991390, 268, 58, 372], [1929991390, 267, 59, 373], [1929991390, 266, 60, 374], [1929991390, 264, 61, 376], [1929991390, 263, 62, 377], [1929991390, 262, 63, 378], [1929991390, 261, 64, 379], [1929991390, 260, 65, 380], [1929991390, 259, 66, 381], [1929991390, 257, 67, 383], [1929991390, 256, 68, 384], [1929991390, 255, 69, 385], [1929991390, 254, 70, 386], [1929991390, 253, 71, 387], [1929991390, 252, 72, 388], [1929991390, 250, 73, 390], [1929991390, 249, 74, 391], [1929991390, 248, 75, 392], [1929991390, 247, 76, 393], [1929991390, 246, 77, 394], [1929991390, 245, 78, 395], [1929991390, 243, 79, 397], [1929991390, 242, 80, 398], [1929991390, 241, 81, 399], [1929991390, 240, 82, 400], [1929991390, 239, 83, 401], [1929991390, 239, 84, 401], [1929991390, 238, 85, 402], [1929991390, 238, 86, 402], [1929991390, 237, 87, 403], [1929991390, 236, 88, 404], [1929991390, 236, 89, 404], [1929991390, 235, 90, 405], [1929991390, 234, 91, 406], [1929991390, 234, 92, 406], [1929991390, 233, 93, 407], [1929991390, 233, 94, 407], [1929991390, 232, 95, 408], [1929991390, 231, 96, 409], [1929991390, 231, 97, 409], [1929991390, 230, 98, 410], [1929991390, 230, 99, 410], [1929991390, 229, 100, 411], [1929991390, 229, 101, 411], [1929991390, 229, 102, 411], [1929991390, 228, 103, 412], [1929991390, 228, 104, 412], [1929991390, 228, 105, 412], [1929991390, 228, 106, 412], [1929991390, 227, 107, 413], [1929991390, 227, 108, 413], [1929991390, 227, 109, 413], [1929991390, 227, 110, 413], [1929991390, 227, 111, 413], [1929991390, 226, 112, 414], [1929991390, 226, 113, 414], [1929991390, 226, 114, 414], [1929991390, 226, 115, 414], [1929991390, 225, 116, 415], [1929991390, 225, 117, 415], [1929991390, 225, 118, 415], [1929991390, 225, 119, 415], [1929991390, 225, 120, 415], [1929991390, 224, 121, 416], [1929991390, 224, 122, 416], [1929991390, 224, 123, 416], [1929991390, 224, 124, 416], [1929991390, 223, 125, 417], [1929991390, 223, 126, 417], [1929991390, 223, 127, 417], [1929991390, 221, 128, 419], [1929991390, 219, 129, 421], [1929991390, 218, 130, 422], [1929991390, 216, 131, 424], [1929991390, 214, 132, 426], [1929991390, 213, 133, 427], [1929991390, 211, 134, 429], [1929991390, 209, 135, 431], [1929991390, 208, 136, 432], [1929991390, 206, 137, 434], [1929991390, 204, 138, 436], [1929991390, 203, 139, 437], [1929991390, 201, 140, 439], [1929991390, 199, 141, 441], [1929991390, 198, 142, 442], [1929991390, 196, 143, 444], [1929991390, 194, 144, 446], [1929991390, 193, 145, 447], [1929991390, 191, 146, 449], [1929991390, 189, 147, 451], [1929991390, 188, 148, 452], [1929991390, 188, 149, 452], [1929991390, 187, 150, 453], [1929991390, 187, 151, 453], [1929991390, 187, 152, 453], [1929991390, 186, 153, 454], [1929991390, 186, 154, 454], [1929991390, 186, 155, 454], [1929991390, 186, 156, 454], [1929991390, 185, 157, 455], [1929991390, 185, 158, 455], [1929991390, 185, 159, 455], [1929991390, 184, 160, 456], [1929991390, 184, 161, 456], [1929991390, 184, 162, 456], [1929991390, 183, 163, 457], [1929991390, 183, 164, 457], [1929991390, 183, 165, 457], [1929991390, 183, 166, 457], [1929991390, 182, 167, 458], [1929991390, 182, 168, 458], [1929991390, 182, 169, 458], [1929991390, 181, 170, 459], [1929991390, 181, 171, 459], [1929991390, 181, 172, 459], [1929991390, 181, 173, 459], [1929991390, 181, 174, 459], [1929991390, 181, 175, 459], [1929991390, 181, 176, 459], [1929991390, 181, 177, 459], [1929991390, 181, 178, 459], [1929991390, 181, 179, 459], [1929991390, 181, 180, 459], [1929991390, 181, 181, 459], [1929991390, 181, 182, 459], [1929991390, 181, 183, 459], [1929991390, 181, 184, 459], [1929991390, 181, 185, 459], [1929991390, 181, 186, 459], [1929991390, 181, 187, 459], [1929991390, 181, 188, 459], [1929991390, 181, 189, 459], [1929991390, 181, 190, 459], [1929991390, 181, 191, 459], [1929991390, 181, 192, 459], [1929991390, 181, 193, 459], [1929991390, 181, 194, 459], [1929991390, 181, 195, 459], [1929991390, 181, 196, 459], [1929991390, 181, 197, 459], [1929991390, 181, 198, 459], [1929991390, 180, 199, 460], [1929991390, 180, 200, 460], [1929991390, 180, 201, 460], [1929991390, 180, 202, 460], [1929991390, 180, 203, 460], [1929991390, 180, 204, 460], [1929991390, 180, 205, 460], [1929991390, 180, 206, 460], [1929991390, 180, 207, 460], [1929991390, 180, 208, 460], [1929991390, 180, 209, 460], [1929991390, 180, 210, 460], [1929991390, 180, 211, 460], [1929991390, 180, 212, 460], [1929991390, 180, 213, 460], [1929991390, 180, 214, 460], [1929991390, 180, 215, 460], [1929991390, 180, 216, 460], [1929991390, 180, 217, 460], [1929991390, 180, 218, 460], [1929991390, 180, 219, 460], [1929991390, 180, 220, 460], [1929991390, 180, 221, 460], [1929991390, 180, 222, 460], [1929991390, 180, 223, 460], [1929991390, 180, 224, 460], [1929991390, 180, 225, 460], [1929991390, 180, 226, 460], [1929991390, 180, 227, 460], [1929991390, 180, 228, 460], [1929991390, 180, 229, 460], [1929991390, 180, 230, 460], [1929991390, 180, 231, 460], [1929991390, 180, 232, 460], [1929991390, 180, 233, 460], [1929991390, 180, 234, 460], [1929991390, 181, 235, 459], [1929991390, 181, 236, 459], [1929991390, 181, 237, 459], [1929991390, 181, 238, 459], [1929991390, 181, 239, 459], [1929991390, 181, 240, 459], [1929991390, 181, 241, 459], [1929991390, 181, 242, 459], [1929991390, 181, 243, 459], [1929991390, 181, 244, 459], [1929991390, 181, 245, 459], [1929991390, 181, 246, 459], [1929991390, 181, 247, 459], [1929991390, 181, 248, 459], [1929991390, 181, 249, 459], [1929991390, 181, 250, 459], [1929991390, 181, 251, 459], [1929991390, 182, 252, 458], [1929991390, 182, 253, 458], [1929991390, 182, 254, 458], [1929991390, 182, 255, 458], [1929991390, 182, 256, 458], [1929991390, 182, 257, 458], [1929991390, 182, 258, 458], [1929991390, 182, 259, 458], [1929991390, 182, 260, 458], [1929991390, 182, 261, 458], [1929991390, 182, 262, 458], [1929991390, 182, 263, 458], [1929991390, 182, 264, 458], [1929991390, 182, 265, 458], [1929991390, 182, 266, 458], [1929991390, 182, 267, 458], [1929991390, 182, 268, 458], [1929991390, 183, 269, 457], [1929991390, 183, 270, 457], [1929991390, 183, 271, 457], [1929991390, 183, 272, 457], [1929991390, 183, 273, 457], [1929991390, 183, 274, 457], [1929991390, 183, 275, 457], [1929991390, 183, 276, 457], [1929991390, 183, 277, 457], [1929991390, 183, 278, 457], [1929991390, 183, 279, 457], [1929991390, 183, 280, 457], [1929991390, 183, 281, 457], [1929991390, 183, 282, 457], [1929991390, 183, 283, 457], [1929991390, 183, 284, 457], [1929991390, 184, 285, 456], [1929991390, 184, 286, 456], [1929991390, 184, 287, 456], [1929991390, 184, 288, 456], [1929991390, 184, 289, 456], [1929991390, 184, 290, 456], [1929991390, 184, 291, 456], [1929991390, 184, 292, 456], [1929991390, 184, 293, 456], [1929991390, 184, 294, 456], [1929991390, 184, 295, 456], [1929991390, 184, 296, 456], [1929991390, 184, 297, 456], [1929991390, 184, 298, 456], [1929991390, 184, 299, 456], [1929991390, 184, 300, 456], [1929991390, 184, 301, 456], [1929991390, 185, 302, 455], [1929991390, 185, 303, 455], [1929991390, 185, 304, 455], [1929991390, 185, 305, 455], [1929991390, 185, 306, 455], [1929991390, 185, 307, 455], [1929991390, 185, 308, 455], [1929991390, 185, 309, 455], [1929991390, 185, 310, 455], [1929991390, 185, 311, 455], [1929991390, 185, 312, 455], [1929991390, 185, 313, 455], [1929991390, 185, 314, 455], [1929991390, 185, 315, 455], [1929991390, 185, 316, 455], [1929991390, 185, 317, 455], [1929991390, 185, 318, 455], [1929991390, 186, 319, 454], [1929991390, 186, 320, 454], [1929991390, 186, 321, 454], [1929991390, 186, 322, 454], [1929991390, 186, 323, 454], [1929991390, 186, 324, 454], [1929991390, 186, 325, 454], [1929991390, 186, 326, 454], [1929991390, 186, 327, 454], [1929991390, 186, 328, 454], [1929991390, 187, 329, 453], [1929991390, 187, 330, 453], [1929991390, 188, 331, 452], [1929991390, 188, 332, 452], [1929991390, 188, 333, 452], [1929991390, 189, 334, 451], [1929991390, 189, 335, 451], [1929991390, 189, 336, 451], [1929991390, 190, 337, 450], [1929991390, 190, 338, 450], [1929991390, 191, 339, 449], [1929991390, 191, 340, 449], [1929991390, 191, 341, 449], [1929991390, 192, 342, 448], [1929991390, 192, 343, 448], [1929991390, 192, 344, 448], [1929991390, 193, 345, 447], [1929991390, 193, 346, 447], [1929991390, 194, 347, 446], [1929991390, 194, 348, 446], [1929991390, 194, 349, 446], [1929991390, 195, 350, 445], [1929991390, 195, 351, 445], [1929991390, 195, 352, 445], [1929991390, 196, 353, 444], [1929991390, 196, 354, 444], [1929991390, 197, 355, 443], [1929991390, 197, 356, 443], [1929991390, 197, 357, 443], [1929991390, 198, 358, 442], [1929991390, 198, 359, 442], [1929991390, 198, 360, 442], [1929991390, 199, 361, 441], [1929991390, 199, 362, 441], [1929991390, 200, 363, 440], [1929991390, 200, 364, 440], [1929991390, 200, 365, 440], [1929991390, 201, 366, 439], [1929991390, 201, 367, 439], [1929991390, 202, 368, 438], [1929991390, 202, 369, 438], [1929991390, 202, 370, 438], [1929991390, 203, 371, 437], [1929991390, 203, 372, 437], [1929991390, 203, 373, 437], [1929991390, 204, 374, 436], [1929991390, 204, 375, 436], [1929991390, 205, 376, 435], [1929991390, 205, 377, 435], [1929991390, 205, 378, 435], [1929991390, 206, 379, 434], [1929991390, 206, 380, 434], [1929991390, 206, 381, 434], [1929991390, 207, 382, 433], [1929991390, 207, 383, 433], [1929991390, 208, 384, 432], [1929991390, 208, 385, 432], [1929991390, 208, 386, 432], [1929991390, 209, 387, 431], [1929991390, 209, 388, 431], [1929991390, 209, 389, 431], [1929991390, 210, 390, 430], [1929991390, 210, 391, 430], [1929991390, 211, 392, 429], [1929991390, 211, 393, 429], [1929991390, 211, 394, 429], [1929991390, 211, 395, 429], [1929991390, 211, 396, 429], [1929991390, 211, 397, 429], [1929991390, 211, 398, 429], [1929991390, 211, 399, 429], [1929991390, 211, 400, 429], [1929991390, 212, 401, 428], [1929991390, 212, 402, 428], [1929991390, 212, 403, 428], [1929991390, 212, 404, 428], [1929991390, 212, 405, 428], [1929991390, 212, 406, 428], [1929991390, 212, 407, 428], [1929991390, 212, 408, 428], [1929991390, 212, 409, 428], [1929991390, 212, 410, 428], [1929991390, 212, 411, 428], [1929991390, 212, 412, 428], [1929991390, 212, 413, 428], [1929991390, 212, 414, 428], [1929991390, 213, 415, 427], [1929991390, 213, 416, 427], [1929991390, 213, 417, 427], [1929991390, 213, 418, 427], [1929991390, 213, 419, 427], [1929991390, 213, 420, 427], [1929991390, 213, 421, 427], [1929991390, 213, 422, 427], [1929991390, 213, 423, 427], [1929991390, 213, 424, 427], [1929991390, 213, 425, 427], [1929991390, 213, 426, 427], [1929991390, 213, 427, 427], [1929991390, 213, 428, 427], [1929991390, 214, 429, 426], [1929991390, 214, 430, 426], [1929991390, 214, 431, 426], [1929991390, 214, 432, 426], [1929991390, 214, 433, 426], [1929991390, 214, 434, 426], [1929991390, 214, 435, 426], [1929991390, 214, 436, 426], [1929991390, 214, 437, 426], [1929991390, 214, 438, 426], [1929991390, 214, 439, 426], [1929991390, 214, 440, 426], [1929991390, 214, 441, 426], [1929991390, 214, 442, 426], [1929991390, 215, 443, 425], [1929991390, 215, 444, 425], [1929991390, 215, 445, 425], [1929991390, 215, 446, 425], [1929991390, 215, 447, 425], [1929991390, 215, 448, 425], [1929991390, 215, 449, 425], [1929991390, 215, 450, 425], [1929991390, 215, 451, 425], [1929991390, 215, 452, 425], [1929991390, 215, 453, 425], [1929991390, 215, 454, 425], [1929991390, 215, 455, 425], [1929991390, 215, 456, 425], [1929991390, 216, 457, 424], [1929991390, 216, 458, 424], [1929991390, 216, 459, 424], [1929991390, 216, 460, 424], [1929991390, 216, 461, 424], [1929991390, 216, 462, 424], [1929991390, 216, 463, 424], [1929991390, 215, 464, 425], [1929991390, 215, 465, 425], [1929991390, 214, 466, 426], [1929991390, 214, 467, 426], [1929991390, 213, 468, 427], [1929991390, 213, 469, 427], [1929991390, 212, 470, 428], [1929991390, 212, 471, 428], [1929991390, 211, 472, 429], [1929991390, 211, 473, 429], [1929991390, 211, 474, 429], [1929991390, 211, 475, 429], [1929991390, 211, 476, 429], [1929991390, 211, 477, 429], [1929991390, 211, 478, 429], [1929991390, 211, 479, 429], [1929991390, 211, 480, 429], [1929991390, 211, 481, 429], [1929991390, 211, 482, 429], [1929991390, 211, 483, 429], [1929991390, 211, 484, 429], [1929991390, 211, 485, 429], [1929991390, 211, 486, 429], [1929991390, 211, 487, 429], [1929991390, 211, 488, 429], [1929991390, 211, 489, 429], [1929991390, 212, 490, 428], [1929991390, 212, 491, 428], [1929991390, 212, 492, 428], [1929991390, 212, 493, 428], [1929991390, 212, 494, 428], [1929991390, 212, 495, 428], [1929991390, 213, 496, 427], [1929991390, 213, 497, 427], [1929991390, 213, 498, 427], [1929991390, 213, 499, 427], [1929991390, 213, 500, 427], [1929991390, 213, 501, 427], [1929991390, 214, 502, 426], [1929991390, 214, 503, 426], [1929991390, 214, 504, 426], [1929991390, 214, 505, 426], [1929991390, 214, 506, 426], [1929991390, 215, 507, 425], [1929991390, 215, 508, 425], [1929991390, 215, 509, 425], [1929991390, 215, 510, 425], [1929991390, 215, 511, 425], [1929991390, 215, 512, 425], [1929991390, 216, 513, 424], [1929991390, 216, 514, 424], [1929991390, 216, 515, 424], [1929991390, 216, 516, 424], [1929991390, 216, 517, 424], [1929991390, 216, 518, 424], [1929991390, 217, 519, 423], [1929991390, 217, 520, 423], [1929991390, 217, 521, 423], [1929991390, 217, 522, 423], [1929991390, 217, 523, 423], [1929991390, 218, 524, 422], [1929991390, 218, 525, 422], [1929991390, 218, 526, 422], [1929991390, 218, 527, 422], [1929991390, 218, 528, 422], [1929991390, 218, 529, 422], [1929991390, 219, 530, 421], [1929991390, 219, 531, 421], [1929991390, 219, 532, 421], [1929991390, 219, 533, 421], [1929991390, 219, 534, 421], [1929991390, 220, 535, 420], [1929991390, 220, 536, 420], [1929991390, 220, 537, 420], [1929991390, 220, 538, 420], [1929991390, 220, 539, 420], [1929991390, 220, 540, 420], [1929991390, 221, 541, 419], [1929991390, 221, 542, 419], [1929991390, 221, 543, 419], [1929991390, 221, 544, 419], [1929991390, 221, 545, 419], [1929991390, 221, 546, 419], [1929991390, 222, 547, 418], [1929991390, 222, 548, 418], [1929991390, 222, 549, 418], [1929991390, 222, 550, 418], [1929991390, 222, 551, 418], [1929991390, 223, 552, 417], [1929991390, 223, 553, 417], [1929991390, 223, 554, 417], [1929991390, 223, 555, 417], [1929991390, 223, 556, 417], [1929991390, 223, 557, 417], [1929991390, 224, 558, 416], [1929991390, 224, 559, 416], [1929991390, 224, 560, 416], [1929991390, 224, 561, 416], [1929991390, 224, 562, 416], [1929991390, 224, 563, 416], [1929991390, 225, 564, 415], [1929991390, 225, 565, 415], [1929991390, 225, 566, 415], [1929991390, 225, 567, 415], [1929991390, 225, 568, 415], [1929991390, 226, 569, 414], [1929991390, 226, 570, 414], [1929991390, 226, 571, 414], [1929991390, 226, 572, 414], [1929991390, 226, 573, 414], [1929991390, 226, 574, 414], [1929991390, 227, 575, 413], [1929991390, 227, 576, 413], [1929991390, 227, 577, 413], [1929991390, 227, 578, 413], [1929991390, 227, 579, 413], [1929991390, 227, 580, 413], [1929991390, 228, 581, 412], [1929991390, 228, 582, 412], [1929991390, 228, 583, 412], [1929991390, 228, 584, 412], [1929991390, 228, 585, 412], [1929991390, 229, 586, 411], [1929991390, 229, 587, 411], [1929991390, 229, 588, 411], [1929991390, 229, 589, 411], [1929991390, 229, 590, 411], [1929991390, 229, 591, 411], [1929991390, 230, 592, 410], [1929991390, 230, 593, 410], [1929991390, 230, 594, 410], [1929991390, 230, 595, 410], [1929991390, 230, 596, 410], [1929991390, 231, 597, 409], [1929991390, 231, 598, 409], [1929991390, 231, 599, 409], [1929991390, 231, 600, 409], [1929991390, 231, 601, 409], [1929991390, 231, 602, 409], [1929991390, 232, 603, 408], [1929991390, 232, 604, 408], [1929991390, 232, 605, 408], [1929991390, 232, 606, 408], [1929991390, 232, 607, 408], [1929991390, 232, 608, 408], [1929991390, 233, 609, 407], [1929991390, 233, 610, 407], [1929991390, 233, 611, 407], [1929991390, 233, 612, 407], [1929991390, 233, 613, 407], [1929991390, 234, 614, 406], [1929991390, 234, 615, 406], [1929991390, 234, 616, 406], [1929991390, 234, 617, 406], [1929991390, 234, 618, 406], [1929991390, 234, 619, 406], [1929991390, 235, 620, 405], [1929991390, 235, 621, 405], [1929991390, 235, 622, 405], [1929991390, 235, 623, 405], [1929991390, 235, 624, 405], [1929991390, 235, 625, 405], [1929991390, 236, 626, 404], [1929991390, 236, 627, 404], [1929991390, 236, 628, 404], [1929991390, 236, 629, 404], [1929991390, 236, 630, 404], [1929991390, 237, 631, 403], [1929991390, 237, 632, 403], [1929991390, 237, 633, 403], [1929991390, 237, 634, 403], [1929991390, 237, 635, 403], [1929991390, 237, 636, 403], [1929991390, 238, 637, 402], [1929991390, 238, 638, 402], [1929991390, 238, 639, 402]], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333831347, 'hashtag_id': 511548407, 'type': 3243, 'x0': 180, 'x1': 640, 'y0': 0, 'y1': 532, 'score': 1.0, 'id': 0, 'points': ['311,0,292,0,268,0,240,0,229,0,223,0,188,0,181,0,180,0,186,0,211,0,216,0,211,0,211,0,221,0,244,129,242,186,261,228,275,287,298,354,357,491,380,523,409,529,548,524,557,518,640,520,640,523,640,531,640,522,640,530,640,529,640,518,640,484,640,444,640,382,640,340,640,332,640,286,640,259,640,197,640,174,640,161,640,135,640,108,640,81,640,22,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,576,0,543,0,490,0,424,0', '311,0,292,0,268,0,240,0,229,0,223,0,188,0,181,0,180,0,186,0,211,0,216,0,211,0,211,0,221,0,244,129,242,186,261,228,275,287,298,354,357,491,380,523,409,529,548,524,557,518,640,520,640,523,640,531,640,522,640,530,640,529,640,518,640,484,640,444,640,382,640,340,640,332,640,286,640,259,640,197,640,174,640,161,640,135,640,108,640,81,640,22,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,576,0,543,0,490,0,424,0'], 'sub_photo_id': 0, 'rles': [[1929991390, 221, 0, 419], [1929991390, 221, 1, 419], [1929991390, 221, 2, 419], [1929991390, 222, 3, 418], [1929991390, 222, 4, 418], [1929991390, 222, 5, 418], [1929991390, 222, 6, 418], [1929991390, 222, 7, 418], [1929991390, 223, 8, 417], [1929991390, 223, 9, 417], [1929991390, 223, 10, 417], [1929991390, 223, 11, 417], [1929991390, 223, 12, 417], [1929991390, 223, 13, 417], [1929991390, 224, 14, 416], [1929991390, 224, 15, 416], [1929991390, 224, 16, 416], [1929991390, 224, 17, 416], [1929991390, 224, 18, 416], [1929991390, 224, 19, 416], [1929991390, 225, 20, 415], [1929991390, 225, 21, 415], [1929991390, 225, 22, 415], [1929991390, 225, 23, 415], [1929991390, 225, 24, 415], [1929991390, 226, 25, 414], [1929991390, 226, 26, 414], [1929991390, 226, 27, 414], [1929991390, 226, 28, 414], [1929991390, 226, 29, 414], [1929991390, 226, 30, 414], [1929991390, 227, 31, 413], [1929991390, 227, 32, 413], [1929991390, 227, 33, 413], [1929991390, 227, 34, 413], [1929991390, 227, 35, 413], [1929991390, 227, 36, 413], [1929991390, 228, 37, 412], [1929991390, 228, 38, 412], [1929991390, 228, 39, 412], [1929991390, 228, 40, 412], [1929991390, 228, 41, 412], [1929991390, 229, 42, 411], [1929991390, 229, 43, 411], [1929991390, 229, 44, 411], [1929991390, 229, 45, 411], [1929991390, 229, 46, 411], [1929991390, 229, 47, 411], [1929991390, 230, 48, 410], [1929991390, 230, 49, 410], [1929991390, 230, 50, 410], [1929991390, 230, 51, 410], [1929991390, 230, 52, 410], [1929991390, 231, 53, 409], [1929991390, 231, 54, 409], [1929991390, 231, 55, 409], [1929991390, 231, 56, 409], [1929991390, 231, 57, 409], [1929991390, 231, 58, 409], [1929991390, 232, 59, 408], [1929991390, 232, 60, 408], [1929991390, 232, 61, 408], [1929991390, 232, 62, 408], [1929991390, 232, 63, 408], [1929991390, 232, 64, 408], [1929991390, 233, 65, 407], [1929991390, 233, 66, 407], [1929991390, 233, 67, 407], [1929991390, 233, 68, 407], [1929991390, 233, 69, 407], [1929991390, 234, 70, 406], [1929991390, 234, 71, 406], [1929991390, 234, 72, 406], [1929991390, 234, 73, 406], [1929991390, 234, 74, 406], [1929991390, 234, 75, 406], [1929991390, 235, 76, 405], [1929991390, 235, 77, 405], [1929991390, 235, 78, 405], [1929991390, 235, 79, 405], [1929991390, 235, 80, 405], [1929991390, 235, 81, 405], [1929991390, 236, 82, 404], [1929991390, 236, 83, 404], [1929991390, 236, 84, 404], [1929991390, 236, 85, 404], [1929991390, 236, 86, 404], [1929991390, 237, 87, 403], [1929991390, 237, 88, 403], [1929991390, 237, 89, 403], [1929991390, 237, 90, 403], [1929991390, 237, 91, 403], [1929991390, 237, 92, 403], [1929991390, 238, 93, 402], [1929991390, 238, 94, 402], [1929991390, 238, 95, 402], [1929991390, 238, 96, 402], [1929991390, 238, 97, 402], [1929991390, 238, 98, 402], [1929991390, 239, 99, 401], [1929991390, 239, 100, 401], [1929991390, 239, 101, 401], [1929991390, 239, 102, 401], [1929991390, 239, 103, 401], [1929991390, 240, 104, 400], [1929991390, 240, 105, 400], [1929991390, 240, 106, 400], [1929991390, 240, 107, 400], [1929991390, 240, 108, 400], [1929991390, 240, 109, 400], [1929991390, 241, 110, 399], [1929991390, 241, 111, 399], [1929991390, 241, 112, 399], [1929991390, 241, 113, 399], [1929991390, 241, 114, 399], [1929991390, 242, 115, 398], [1929991390, 242, 116, 398], [1929991390, 242, 117, 398], [1929991390, 242, 118, 398], [1929991390, 242, 119, 398], [1929991390, 242, 120, 398], [1929991390, 243, 121, 397], [1929991390, 243, 122, 397], [1929991390, 243, 123, 397], [1929991390, 243, 124, 397], [1929991390, 243, 125, 397], [1929991390, 243, 126, 397], [1929991390, 244, 127, 396], [1929991390, 244, 128, 396], [1929991390, 244, 129, 396], [1929991390, 244, 130, 396], [1929991390, 244, 131, 396], [1929991390, 244, 132, 396], [1929991390, 244, 133, 396], [1929991390, 244, 134, 396], [1929991390, 244, 135, 396], [1929991390, 244, 136, 396], [1929991390, 244, 137, 396], [1929991390, 244, 138, 396], [1929991390, 244, 139, 396], [1929991390, 244, 140, 396], [1929991390, 244, 141, 396], [1929991390, 244, 142, 396], [1929991390, 244, 143, 396], [1929991390, 243, 144, 397], [1929991390, 243, 145, 397], [1929991390, 243, 146, 397], [1929991390, 243, 147, 397], [1929991390, 243, 148, 397], [1929991390, 243, 149, 397], [1929991390, 243, 150, 397], [1929991390, 243, 151, 397], [1929991390, 243, 152, 397], [1929991390, 243, 153, 397], [1929991390, 243, 154, 397], [1929991390, 243, 155, 397], [1929991390, 243, 156, 397], [1929991390, 243, 157, 397], [1929991390, 243, 158, 397], [1929991390, 243, 159, 397], [1929991390, 243, 160, 397], [1929991390, 243, 161, 397], [1929991390, 243, 162, 397], [1929991390, 243, 163, 397], [1929991390, 243, 164, 397], [1929991390, 243, 165, 397], [1929991390, 243, 166, 397], [1929991390, 243, 167, 397], [1929991390, 243, 168, 397], [1929991390, 243, 169, 397], [1929991390, 243, 170, 397], [1929991390, 243, 171, 397], [1929991390, 242, 172, 398], [1929991390, 242, 173, 398], [1929991390, 242, 174, 398], [1929991390, 242, 175, 398], [1929991390, 242, 176, 398], [1929991390, 242, 177, 398], [1929991390, 242, 178, 398], [1929991390, 242, 179, 398], [1929991390, 242, 180, 398], [1929991390, 242, 181, 398], [1929991390, 242, 182, 398], [1929991390, 242, 183, 398], [1929991390, 242, 184, 398], [1929991390, 242, 185, 398], [1929991390, 242, 186, 398], [1929991390, 242, 187, 398], [1929991390, 243, 188, 397], [1929991390, 243, 189, 397], [1929991390, 244, 190, 396], [1929991390, 244, 191, 396], [1929991390, 245, 192, 395], [1929991390, 245, 193, 395], [1929991390, 246, 194, 394], [1929991390, 246, 195, 394], [1929991390, 247, 196, 393], [1929991390, 247, 197, 393], [1929991390, 247, 198, 393], [1929991390, 248, 199, 392], [1929991390, 248, 200, 392], [1929991390, 249, 201, 391], [1929991390, 249, 202, 391], [1929991390, 250, 203, 390], [1929991390, 250, 204, 390], [1929991390, 251, 205, 389], [1929991390, 251, 206, 389], [1929991390, 251, 207, 389], [1929991390, 252, 208, 388], [1929991390, 252, 209, 388], [1929991390, 253, 210, 387], [1929991390, 253, 211, 387], [1929991390, 254, 212, 386], [1929991390, 254, 213, 386], [1929991390, 255, 214, 385], [1929991390, 255, 215, 385], [1929991390, 256, 216, 384], [1929991390, 256, 217, 384], [1929991390, 256, 218, 384], [1929991390, 257, 219, 383], [1929991390, 257, 220, 383], [1929991390, 258, 221, 382], [1929991390, 258, 222, 382], [1929991390, 259, 223, 381], [1929991390, 259, 224, 381], [1929991390, 260, 225, 380], [1929991390, 260, 226, 380], [1929991390, 261, 227, 379], [1929991390, 261, 228, 379], [1929991390, 261, 229, 379], [1929991390, 261, 230, 379], [1929991390, 262, 231, 378], [1929991390, 262, 232, 378], [1929991390, 262, 233, 378], [1929991390, 262, 234, 378], [1929991390, 263, 235, 377], [1929991390, 263, 236, 377], [1929991390, 263, 237, 377], [1929991390, 263, 238, 377], [1929991390, 264, 239, 376], [1929991390, 264, 240, 376], [1929991390, 264, 241, 376], [1929991390, 264, 242, 376], [1929991390, 265, 243, 375], [1929991390, 265, 244, 375], [1929991390, 265, 245, 375], [1929991390, 265, 246, 375], [1929991390, 266, 247, 374], [1929991390, 266, 248, 374], [1929991390, 266, 249, 374], [1929991390, 266, 250, 374], [1929991390, 266, 251, 374], [1929991390, 267, 252, 373], [1929991390, 267, 253, 373], [1929991390, 267, 254, 373], [1929991390, 267, 255, 373], [1929991390, 268, 256, 372], [1929991390, 268, 257, 372], [1929991390, 268, 258, 372], [1929991390, 268, 259, 372], [1929991390, 269, 260, 371], [1929991390, 269, 261, 371], [1929991390, 269, 262, 371], [1929991390, 269, 263, 371], [1929991390, 270, 264, 370], [1929991390, 270, 265, 370], [1929991390, 270, 266, 370], [1929991390, 270, 267, 370], [1929991390, 270, 268, 370], [1929991390, 271, 269, 369], [1929991390, 271, 270, 369], [1929991390, 271, 271, 369], [1929991390, 271, 272, 369], [1929991390, 272, 273, 368], [1929991390, 272, 274, 368], [1929991390, 272, 275, 368], [1929991390, 272, 276, 368], [1929991390, 273, 277, 367], [1929991390, 273, 278, 367], [1929991390, 273, 279, 367], [1929991390, 273, 280, 367], [1929991390, 274, 281, 366], [1929991390, 274, 282, 366], [1929991390, 274, 283, 366], [1929991390, 274, 284, 366], [1929991390, 275, 285, 365], [1929991390, 275, 286, 365], [1929991390, 275, 287, 365], [1929991390, 275, 288, 365], [1929991390, 276, 289, 364], [1929991390, 276, 290, 364], [1929991390, 276, 291, 364], [1929991390, 277, 292, 363], [1929991390, 277, 293, 363], [1929991390, 277, 294, 363], [1929991390, 278, 295, 362], [1929991390, 278, 296, 362], [1929991390, 278, 297, 362], [1929991390, 279, 298, 361], [1929991390, 279, 299, 361], [1929991390, 279, 300, 361], [1929991390, 280, 301, 360], [1929991390, 280, 302, 360], [1929991390, 280, 303, 360], [1929991390, 281, 304, 359], [1929991390, 281, 305, 359], [1929991390, 282, 306, 358], [1929991390, 282, 307, 358], [1929991390, 282, 308, 358], [1929991390, 283, 309, 357], [1929991390, 283, 310, 357], [1929991390, 283, 311, 357], [1929991390, 284, 312, 356], [1929991390, 284, 313, 356], [1929991390, 284, 314, 356], [1929991390, 285, 315, 355], [1929991390, 285, 316, 355], [1929991390, 285, 317, 355], [1929991390, 286, 318, 354], [1929991390, 286, 319, 354], [1929991390, 286, 320, 354], [1929991390, 287, 321, 353], [1929991390, 287, 322, 353], [1929991390, 287, 323, 353], [1929991390, 288, 324, 352], [1929991390, 288, 325, 352], [1929991390, 288, 326, 352], [1929991390, 289, 327, 351], [1929991390, 289, 328, 351], [1929991390, 289, 329, 351], [1929991390, 290, 330, 350], [1929991390, 290, 331, 350], [1929991390, 290, 332, 350], [1929991390, 291, 333, 349], [1929991390, 291, 334, 349], [1929991390, 291, 335, 349], [1929991390, 292, 336, 348], [1929991390, 292, 337, 348], [1929991390, 293, 338, 347], [1929991390, 293, 339, 347], [1929991390, 293, 340, 347], [1929991390, 294, 341, 346], [1929991390, 294, 342, 346], [1929991390, 294, 343, 346], [1929991390, 295, 344, 345], [1929991390, 295, 345, 345], [1929991390, 295, 346, 345], [1929991390, 296, 347, 344], [1929991390, 296, 348, 344], [1929991390, 296, 349, 344], [1929991390, 297, 350, 343], [1929991390, 297, 351, 343], [1929991390, 297, 352, 343], [1929991390, 298, 353, 342], [1929991390, 298, 354, 342], [1929991390, 298, 355, 342], [1929991390, 299, 356, 341], [1929991390, 299, 357, 341], [1929991390, 300, 358, 340], [1929991390, 300, 359, 340], [1929991390, 301, 360, 339], [1929991390, 301, 361, 339], [1929991390, 301, 362, 339], [1929991390, 302, 363, 338], [1929991390, 302, 364, 338], [1929991390, 303, 365, 337], [1929991390, 303, 366, 337], [1929991390, 304, 367, 336], [1929991390, 304, 368, 336], [1929991390, 304, 369, 336], [1929991390, 305, 370, 335], [1929991390, 305, 371, 335], [1929991390, 306, 372, 334], [1929991390, 306, 373, 334], [1929991390, 307, 374, 333], [1929991390, 307, 375, 333], [1929991390, 307, 376, 333], [1929991390, 308, 377, 332], [1929991390, 308, 378, 332], [1929991390, 309, 379, 331], [1929991390, 309, 380, 331], [1929991390, 310, 381, 330], [1929991390, 310, 382, 330], [1929991390, 310, 383, 330], [1929991390, 311, 384, 329], [1929991390, 311, 385, 329], [1929991390, 312, 386, 328], [1929991390, 312, 387, 328], [1929991390, 313, 388, 327], [1929991390, 313, 389, 327], [1929991390, 314, 390, 326], [1929991390, 314, 391, 326], [1929991390, 314, 392, 326], [1929991390, 315, 393, 325], [1929991390, 315, 394, 325], [1929991390, 316, 395, 324], [1929991390, 316, 396, 324], [1929991390, 317, 397, 323], [1929991390, 317, 398, 323], [1929991390, 317, 399, 323], [1929991390, 318, 400, 322], [1929991390, 318, 401, 322], [1929991390, 319, 402, 321], [1929991390, 319, 403, 321], [1929991390, 320, 404, 320], [1929991390, 320, 405, 320], [1929991390, 320, 406, 320], [1929991390, 321, 407, 319], [1929991390, 321, 408, 319], [1929991390, 322, 409, 318], [1929991390, 322, 410, 318], [1929991390, 323, 411, 317], [1929991390, 323, 412, 317], [1929991390, 323, 413, 317], [1929991390, 324, 414, 316], [1929991390, 324, 415, 316], [1929991390, 325, 416, 315], [1929991390, 325, 417, 315], [1929991390, 326, 418, 314], [1929991390, 326, 419, 314], [1929991390, 326, 420, 314], [1929991390, 327, 421, 313], [1929991390, 327, 422, 313], [1929991390, 328, 423, 312], [1929991390, 328, 424, 312], [1929991390, 329, 425, 311], [1929991390, 329, 426, 311], [1929991390, 329, 427, 311], [1929991390, 330, 428, 310], [1929991390, 330, 429, 310], [1929991390, 331, 430, 309], [1929991390, 331, 431, 309], [1929991390, 332, 432, 308], [1929991390, 332, 433, 308], [1929991390, 332, 434, 308], [1929991390, 333, 435, 307], [1929991390, 333, 436, 307], [1929991390, 334, 437, 306], [1929991390, 334, 438, 306], [1929991390, 335, 439, 305], [1929991390, 335, 440, 305], [1929991390, 335, 441, 305], [1929991390, 336, 442, 304], [1929991390, 336, 443, 304], [1929991390, 337, 444, 303], [1929991390, 337, 445, 303], [1929991390, 338, 446, 302], [1929991390, 338, 447, 302], [1929991390, 338, 448, 302], [1929991390, 339, 449, 301], [1929991390, 339, 450, 301], [1929991390, 340, 451, 300], [1929991390, 340, 452, 300], [1929991390, 341, 453, 299], [1929991390, 341, 454, 299], [1929991390, 341, 455, 299], [1929991390, 342, 456, 298], [1929991390, 342, 457, 298], [1929991390, 343, 458, 297], [1929991390, 343, 459, 297], [1929991390, 344, 460, 296], [1929991390, 344, 461, 296], [1929991390, 345, 462, 295], [1929991390, 345, 463, 295], [1929991390, 345, 464, 295], [1929991390, 346, 465, 294], [1929991390, 346, 466, 294], [1929991390, 347, 467, 293], [1929991390, 347, 468, 293], [1929991390, 348, 469, 292], [1929991390, 348, 470, 292], [1929991390, 348, 471, 292], [1929991390, 349, 472, 291], [1929991390, 349, 473, 291], [1929991390, 350, 474, 290], [1929991390, 350, 475, 290], [1929991390, 351, 476, 289], [1929991390, 351, 477, 289], [1929991390, 351, 478, 289], [1929991390, 352, 479, 288], [1929991390, 352, 480, 288], [1929991390, 353, 481, 287], [1929991390, 353, 482, 287], [1929991390, 354, 483, 286], [1929991390, 354, 484, 286], [1929991390, 354, 485, 286], [1929991390, 355, 486, 285], [1929991390, 355, 487, 285], [1929991390, 356, 488, 284], [1929991390, 356, 489, 284], [1929991390, 357, 490, 283], [1929991390, 357, 491, 283], [1929991390, 358, 492, 282], [1929991390, 358, 493, 282], [1929991390, 359, 494, 281], [1929991390, 360, 495, 280], [1929991390, 361, 496, 279], [1929991390, 361, 497, 279], [1929991390, 362, 498, 278], [1929991390, 363, 499, 277], [1929991390, 363, 500, 277], [1929991390, 364, 501, 276], [1929991390, 365, 502, 275], [1929991390, 366, 503, 274], [1929991390, 366, 504, 274], [1929991390, 367, 505, 273], [1929991390, 368, 506, 272], [1929991390, 368, 507, 272], [1929991390, 369, 508, 271], [1929991390, 370, 509, 270], [1929991390, 371, 510, 269], [1929991390, 371, 511, 269], [1929991390, 372, 512, 268], [1929991390, 373, 513, 267], [1929991390, 374, 514, 266], [1929991390, 374, 515, 266], [1929991390, 375, 516, 265], [1929991390, 376, 517, 264], [1929991390, 376, 518, 264], [1929991390, 377, 519, 180], [1929991390, 572, 519, 68], [1929991390, 378, 520, 177], [1929991390, 600, 520, 40], [1929991390, 379, 521, 175], [1929991390, 628, 521, 12], [1929991390, 379, 522, 173], [1929991390, 380, 523, 171], [1929991390, 383, 524, 166], [1929991390, 388, 525, 147], [1929991390, 393, 526, 114], [1929991390, 397, 527, 82], [1929991390, 402, 528, 49], [1929991390, 407, 529, 16]], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333831348, 'hashtag_id': 494826614, 'type': 3243, 'x0': 403, 'x1': 578, 'y0': 0, 'y1': 529, 'score': 1.0, 'id': 0, 'points': ['573,0,573,0,436,0,436,0,419,103,416,269,421,286,416,307,417,404,408,436,403,521,410,528,421,527,442,497,448,496,462,509,473,508,481,494,515,464,538,419,538,411,560,408,560,387,567,370,560,277,560,107,566,42,572,41,577,15,577,0', '573,0,573,0,436,0,436,0,419,103,416,269,421,286,416,307,417,404,408,436,403,521,410,528,421,527,442,497,448,496,462,509,473,508,481,494,515,464,538,419,538,411,560,408,560,387,567,370,560,277,560,107,566,42,572,41,577,15,577,0'], 'sub_photo_id': 0, 'rles': [[1929991392, 436, 0, 138], [1929991392, 436, 1, 138], [1929991392, 436, 2, 139], [1929991392, 436, 3, 139], [1929991392, 435, 4, 140], [1929991392, 435, 5, 140], [1929991392, 435, 6, 141], [1929991392, 435, 7, 141], [1929991392, 435, 8, 141], [1929991392, 435, 9, 141], [1929991392, 434, 10, 143], [1929991392, 434, 11, 143], [1929991392, 434, 12, 143], [1929991392, 434, 13, 143], [1929991392, 434, 14, 144], [1929991392, 434, 15, 144], [1929991392, 433, 16, 145], [1929991392, 433, 17, 145], [1929991392, 433, 18, 144], [1929991392, 433, 19, 144], [1929991392, 433, 20, 144], [1929991392, 433, 21, 144], [1929991392, 432, 22, 145], [1929991392, 432, 23, 144], [1929991392, 432, 24, 144], [1929991392, 432, 25, 144], [1929991392, 432, 26, 144], [1929991392, 432, 27, 144], [1929991392, 431, 28, 144], [1929991392, 431, 29, 144], [1929991392, 431, 30, 144], [1929991392, 431, 31, 144], [1929991392, 431, 32, 144], [1929991392, 431, 33, 144], [1929991392, 430, 34, 144], [1929991392, 430, 35, 144], [1929991392, 430, 36, 144], [1929991392, 430, 37, 144], [1929991392, 430, 38, 144], [1929991392, 430, 39, 143], [1929991392, 429, 40, 144], [1929991392, 429, 41, 144], [1929991392, 429, 42, 141], [1929991392, 429, 43, 138], [1929991392, 429, 44, 138], [1929991392, 429, 45, 138], [1929991392, 428, 46, 139], [1929991392, 428, 47, 139], [1929991392, 428, 48, 138], [1929991392, 428, 49, 138], [1929991392, 428, 50, 138], [1929991392, 428, 51, 138], [1929991392, 427, 52, 139], [1929991392, 427, 53, 139], [1929991392, 427, 54, 139], [1929991392, 427, 55, 139], [1929991392, 427, 56, 139], [1929991392, 427, 57, 139], [1929991392, 426, 58, 140], [1929991392, 426, 59, 139], [1929991392, 426, 60, 139], [1929991392, 426, 61, 139], [1929991392, 426, 62, 139], [1929991392, 426, 63, 139], [1929991392, 425, 64, 140], [1929991392, 425, 65, 140], [1929991392, 425, 66, 140], [1929991392, 425, 67, 140], [1929991392, 425, 68, 140], [1929991392, 425, 69, 140], [1929991392, 424, 70, 140], [1929991392, 424, 71, 140], [1929991392, 424, 72, 140], [1929991392, 424, 73, 140], [1929991392, 424, 74, 140], [1929991392, 424, 75, 140], [1929991392, 423, 76, 141], [1929991392, 423, 77, 141], [1929991392, 423, 78, 141], [1929991392, 423, 79, 141], [1929991392, 423, 80, 140], [1929991392, 423, 81, 140], [1929991392, 422, 82, 141], [1929991392, 422, 83, 141], [1929991392, 422, 84, 141], [1929991392, 422, 85, 141], [1929991392, 422, 86, 141], [1929991392, 422, 87, 141], [1929991392, 421, 88, 142], [1929991392, 421, 89, 142], [1929991392, 421, 90, 142], [1929991392, 421, 91, 141], [1929991392, 421, 92, 141], [1929991392, 421, 93, 141], [1929991392, 420, 94, 142], [1929991392, 420, 95, 142], [1929991392, 420, 96, 142], [1929991392, 420, 97, 142], [1929991392, 420, 98, 142], [1929991392, 420, 99, 142], [1929991392, 419, 100, 143], [1929991392, 419, 101, 143], [1929991392, 419, 102, 142], [1929991392, 419, 103, 142], [1929991392, 419, 104, 142], [1929991392, 419, 105, 142], [1929991392, 419, 106, 142], [1929991392, 419, 107, 142], [1929991392, 419, 108, 142], [1929991392, 419, 109, 142], [1929991392, 419, 110, 142], [1929991392, 419, 111, 142], [1929991392, 419, 112, 142], [1929991392, 419, 113, 142], [1929991392, 419, 114, 142], [1929991392, 419, 115, 142], [1929991392, 419, 116, 142], [1929991392, 419, 117, 142], [1929991392, 419, 118, 142], [1929991392, 419, 119, 142], [1929991392, 419, 120, 142], [1929991392, 419, 121, 142], [1929991392, 419, 122, 142], [1929991392, 419, 123, 142], [1929991392, 419, 124, 142], [1929991392, 419, 125, 142], [1929991392, 419, 126, 142], [1929991392, 419, 127, 142], [1929991392, 419, 128, 142], [1929991392, 419, 129, 142], [1929991392, 419, 130, 142], [1929991392, 418, 131, 143], [1929991392, 418, 132, 143], [1929991392, 418, 133, 143], [1929991392, 418, 134, 143], [1929991392, 418, 135, 143], [1929991392, 418, 136, 143], [1929991392, 418, 137, 143], [1929991392, 418, 138, 143], [1929991392, 418, 139, 143], [1929991392, 418, 140, 143], [1929991392, 418, 141, 143], [1929991392, 418, 142, 143], [1929991392, 418, 143, 143], [1929991392, 418, 144, 143], [1929991392, 418, 145, 143], [1929991392, 418, 146, 143], [1929991392, 418, 147, 143], [1929991392, 418, 148, 143], [1929991392, 418, 149, 143], [1929991392, 418, 150, 143], [1929991392, 418, 151, 143], [1929991392, 418, 152, 143], [1929991392, 418, 153, 143], [1929991392, 418, 154, 143], [1929991392, 418, 155, 143], [1929991392, 418, 156, 143], [1929991392, 418, 157, 143], [1929991392, 418, 158, 143], [1929991392, 418, 159, 143], [1929991392, 418, 160, 143], [1929991392, 418, 161, 143], [1929991392, 418, 162, 143], [1929991392, 418, 163, 143], [1929991392, 418, 164, 143], [1929991392, 418, 165, 143], [1929991392, 418, 166, 143], [1929991392, 418, 167, 143], [1929991392, 418, 168, 143], [1929991392, 418, 169, 143], [1929991392, 418, 170, 143], [1929991392, 418, 171, 143], [1929991392, 418, 172, 143], [1929991392, 418, 173, 143], [1929991392, 418, 174, 143], [1929991392, 418, 175, 143], [1929991392, 418, 176, 143], [1929991392, 418, 177, 143], [1929991392, 418, 178, 143], [1929991392, 418, 179, 143], [1929991392, 418, 180, 143], [1929991392, 418, 181, 143], [1929991392, 418, 182, 143], [1929991392, 418, 183, 143], [1929991392, 418, 184, 143], [1929991392, 418, 185, 143], [1929991392, 417, 186, 144], [1929991392, 417, 187, 144], [1929991392, 417, 188, 144], [1929991392, 417, 189, 144], [1929991392, 417, 190, 144], [1929991392, 417, 191, 144], [1929991392, 417, 192, 144], [1929991392, 417, 193, 144], [1929991392, 417, 194, 144], [1929991392, 417, 195, 144], [1929991392, 417, 196, 144], [1929991392, 417, 197, 144], [1929991392, 417, 198, 144], [1929991392, 417, 199, 144], [1929991392, 417, 200, 144], [1929991392, 417, 201, 144], [1929991392, 417, 202, 144], [1929991392, 417, 203, 144], [1929991392, 417, 204, 144], [1929991392, 417, 205, 144], [1929991392, 417, 206, 144], [1929991392, 417, 207, 144], [1929991392, 417, 208, 144], [1929991392, 417, 209, 144], [1929991392, 417, 210, 144], [1929991392, 417, 211, 144], [1929991392, 417, 212, 144], [1929991392, 417, 213, 144], [1929991392, 417, 214, 144], [1929991392, 417, 215, 144], [1929991392, 417, 216, 144], [1929991392, 417, 217, 144], [1929991392, 417, 218, 144], [1929991392, 417, 219, 144], [1929991392, 417, 220, 144], [1929991392, 417, 221, 144], [1929991392, 417, 222, 144], [1929991392, 417, 223, 144], [1929991392, 417, 224, 144], [1929991392, 417, 225, 144], [1929991392, 417, 226, 144], [1929991392, 417, 227, 144], [1929991392, 417, 228, 144], [1929991392, 417, 229, 144], [1929991392, 417, 230, 144], [1929991392, 417, 231, 144], [1929991392, 417, 232, 144], [1929991392, 417, 233, 144], [1929991392, 417, 234, 144], [1929991392, 417, 235, 144], [1929991392, 417, 236, 144], [1929991392, 417, 237, 144], [1929991392, 417, 238, 144], [1929991392, 417, 239, 144], [1929991392, 417, 240, 144], [1929991392, 417, 241, 144], [1929991392, 416, 242, 145], [1929991392, 416, 243, 145], [1929991392, 416, 244, 145], [1929991392, 416, 245, 145], [1929991392, 416, 246, 145], [1929991392, 416, 247, 145], [1929991392, 416, 248, 145], [1929991392, 416, 249, 145], [1929991392, 416, 250, 145], [1929991392, 416, 251, 145], [1929991392, 416, 252, 145], [1929991392, 416, 253, 145], [1929991392, 416, 254, 145], [1929991392, 416, 255, 145], [1929991392, 416, 256, 145], [1929991392, 416, 257, 145], [1929991392, 416, 258, 145], [1929991392, 416, 259, 145], [1929991392, 416, 260, 145], [1929991392, 416, 261, 145], [1929991392, 416, 262, 145], [1929991392, 416, 263, 145], [1929991392, 416, 264, 145], [1929991392, 416, 265, 145], [1929991392, 416, 266, 145], [1929991392, 416, 267, 145], [1929991392, 416, 268, 145], [1929991392, 416, 269, 145], [1929991392, 416, 270, 145], [1929991392, 417, 271, 144], [1929991392, 417, 272, 144], [1929991392, 417, 273, 144], [1929991392, 417, 274, 144], [1929991392, 418, 275, 143], [1929991392, 418, 276, 143], [1929991392, 418, 277, 143], [1929991392, 419, 278, 142], [1929991392, 419, 279, 142], [1929991392, 419, 280, 142], [1929991392, 420, 281, 141], [1929991392, 420, 282, 141], [1929991392, 420, 283, 141], [1929991392, 420, 284, 142], [1929991392, 421, 285, 141], [1929991392, 421, 286, 141], [1929991392, 421, 287, 141], [1929991392, 421, 288, 141], [1929991392, 420, 289, 142], [1929991392, 420, 290, 142], [1929991392, 420, 291, 142], [1929991392, 420, 292, 142], [1929991392, 419, 293, 143], [1929991392, 419, 294, 143], [1929991392, 419, 295, 143], [1929991392, 419, 296, 143], [1929991392, 418, 297, 145], [1929991392, 418, 298, 145], [1929991392, 418, 299, 145], [1929991392, 418, 300, 145], [1929991392, 417, 301, 146], [1929991392, 417, 302, 146], [1929991392, 417, 303, 146], [1929991392, 417, 304, 146], [1929991392, 416, 305, 147], [1929991392, 416, 306, 147], [1929991392, 416, 307, 147], [1929991392, 416, 308, 147], [1929991392, 416, 309, 147], [1929991392, 416, 310, 147], [1929991392, 416, 311, 148], [1929991392, 416, 312, 148], [1929991392, 416, 313, 148], [1929991392, 416, 314, 148], [1929991392, 416, 315, 148], [1929991392, 416, 316, 148], [1929991392, 416, 317, 148], [1929991392, 416, 318, 148], [1929991392, 416, 319, 148], [1929991392, 416, 320, 148], [1929991392, 416, 321, 148], [1929991392, 416, 322, 148], [1929991392, 416, 323, 148], [1929991392, 416, 324, 149], [1929991392, 416, 325, 149], [1929991392, 416, 326, 149], [1929991392, 416, 327, 149], [1929991392, 416, 328, 149], [1929991392, 416, 329, 149], [1929991392, 416, 330, 149], [1929991392, 416, 331, 149], [1929991392, 416, 332, 149], [1929991392, 416, 333, 149], [1929991392, 416, 334, 149], [1929991392, 416, 335, 149], [1929991392, 416, 336, 149], [1929991392, 416, 337, 150], [1929991392, 416, 338, 150], [1929991392, 416, 339, 150], [1929991392, 416, 340, 150], [1929991392, 416, 341, 150], [1929991392, 416, 342, 150], [1929991392, 416, 343, 150], [1929991392, 416, 344, 150], [1929991392, 416, 345, 150], [1929991392, 416, 346, 150], [1929991392, 416, 347, 150], [1929991392, 416, 348, 150], [1929991392, 416, 349, 150], [1929991392, 416, 350, 150], [1929991392, 416, 351, 151], [1929991392, 416, 352, 151], [1929991392, 416, 353, 151], [1929991392, 416, 354, 151], [1929991392, 416, 355, 151], [1929991392, 417, 356, 150], [1929991392, 417, 357, 150], [1929991392, 417, 358, 150], [1929991392, 417, 359, 150], [1929991392, 417, 360, 150], [1929991392, 417, 361, 150], [1929991392, 417, 362, 150], [1929991392, 417, 363, 150], [1929991392, 417, 364, 151], [1929991392, 417, 365, 151], [1929991392, 417, 366, 151], [1929991392, 417, 367, 151], [1929991392, 417, 368, 151], [1929991392, 417, 369, 151], [1929991392, 417, 370, 151], [1929991392, 417, 371, 151], [1929991392, 417, 372, 150], [1929991392, 417, 373, 150], [1929991392, 417, 374, 149], [1929991392, 417, 375, 149], [1929991392, 417, 376, 149], [1929991392, 417, 377, 148], [1929991392, 417, 378, 148], [1929991392, 417, 379, 147], [1929991392, 417, 380, 147], [1929991392, 417, 381, 146], [1929991392, 417, 382, 146], [1929991392, 417, 383, 146], [1929991392, 417, 384, 145], [1929991392, 417, 385, 145], [1929991392, 417, 386, 144], [1929991392, 417, 387, 144], [1929991392, 417, 388, 144], [1929991392, 417, 389, 144], [1929991392, 417, 390, 144], [1929991392, 417, 391, 144], [1929991392, 417, 392, 144], [1929991392, 417, 393, 144], [1929991392, 417, 394, 144], [1929991392, 417, 395, 144], [1929991392, 417, 396, 144], [1929991392, 417, 397, 144], [1929991392, 417, 398, 144], [1929991392, 417, 399, 144], [1929991392, 417, 400, 144], [1929991392, 417, 401, 144], [1929991392, 417, 402, 144], [1929991392, 417, 403, 144], [1929991392, 417, 404, 144], [1929991392, 417, 405, 144], [1929991392, 416, 406, 145], [1929991392, 416, 407, 145], [1929991392, 416, 408, 145], [1929991392, 416, 409, 141], [1929991392, 415, 410, 135], [1929991392, 415, 411, 127], [1929991392, 415, 412, 124], [1929991392, 414, 413, 125], [1929991392, 414, 414, 125], [1929991392, 414, 415, 125], [1929991392, 414, 416, 125], [1929991392, 413, 417, 126], [1929991392, 413, 418, 126], [1929991392, 413, 419, 126], [1929991392, 412, 420, 126], [1929991392, 412, 421, 126], [1929991392, 412, 422, 125], [1929991392, 412, 423, 125], [1929991392, 411, 424, 125], [1929991392, 411, 425, 125], [1929991392, 411, 426, 124], [1929991392, 411, 427, 124], [1929991392, 410, 428, 124], [1929991392, 410, 429, 124], [1929991392, 410, 430, 123], [1929991392, 409, 431, 124], [1929991392, 409, 432, 123], [1929991392, 409, 433, 123], [1929991392, 409, 434, 122], [1929991392, 408, 435, 123], [1929991392, 408, 436, 122], [1929991392, 408, 437, 122], [1929991392, 408, 438, 121], [1929991392, 408, 439, 121], [1929991392, 408, 440, 120], [1929991392, 408, 441, 120], [1929991392, 408, 442, 119], [1929991392, 408, 443, 119], [1929991392, 408, 444, 118], [1929991392, 407, 445, 119], [1929991392, 407, 446, 118], [1929991392, 407, 447, 118], [1929991392, 407, 448, 117], [1929991392, 407, 449, 117], [1929991392, 407, 450, 116], [1929991392, 407, 451, 116], [1929991392, 407, 452, 115], [1929991392, 407, 453, 115], [1929991392, 407, 454, 114], [1929991392, 407, 455, 114], [1929991392, 407, 456, 113], [1929991392, 407, 457, 113], [1929991392, 407, 458, 112], [1929991392, 407, 459, 112], [1929991392, 407, 460, 111], [1929991392, 407, 461, 111], [1929991392, 406, 462, 111], [1929991392, 406, 463, 111], [1929991392, 406, 464, 110], [1929991392, 406, 465, 109], [1929991392, 406, 466, 108], [1929991392, 406, 467, 107], [1929991392, 406, 468, 106], [1929991392, 406, 469, 104], [1929991392, 406, 470, 103], [1929991392, 406, 471, 102], [1929991392, 406, 472, 101], [1929991392, 406, 473, 100], [1929991392, 406, 474, 99], [1929991392, 406, 475, 98], [1929991392, 406, 476, 96], [1929991392, 406, 477, 95], [1929991392, 406, 478, 94], [1929991392, 405, 479, 94], [1929991392, 405, 480, 93], [1929991392, 405, 481, 92], [1929991392, 405, 482, 91], [1929991392, 405, 483, 90], [1929991392, 405, 484, 88], [1929991392, 405, 485, 87], [1929991392, 405, 486, 86], [1929991392, 405, 487, 85], [1929991392, 405, 488, 84], [1929991392, 405, 489, 83], [1929991392, 405, 490, 82], [1929991392, 405, 491, 80], [1929991392, 405, 492, 79], [1929991392, 405, 493, 78], [1929991392, 405, 494, 77], [1929991392, 405, 495, 76], [1929991392, 404, 496, 77], [1929991392, 404, 497, 42], [1929991392, 449, 497, 31], [1929991392, 404, 498, 38], [1929991392, 450, 498, 30], [1929991392, 404, 499, 38], [1929991392, 451, 499, 28], [1929991392, 404, 500, 37], [1929991392, 452, 500, 27], [1929991392, 404, 501, 36], [1929991392, 453, 501, 25], [1929991392, 404, 502, 35], [1929991392, 454, 502, 23], [1929991392, 404, 503, 35], [1929991392, 456, 503, 21], [1929991392, 404, 504, 34], [1929991392, 457, 504, 19], [1929991392, 404, 505, 33], [1929991392, 458, 505, 18], [1929991392, 404, 506, 33], [1929991392, 459, 506, 16], [1929991392, 404, 507, 32], [1929991392, 460, 507, 15], [1929991392, 404, 508, 31], [1929991392, 461, 508, 13], [1929991392, 404, 509, 31], [1929991392, 462, 509, 6], [1929991392, 404, 510, 30], [1929991392, 404, 511, 29], [1929991392, 404, 512, 28], [1929991392, 403, 513, 29], [1929991392, 403, 514, 28], [1929991392, 403, 515, 27], [1929991392, 403, 516, 27], [1929991392, 403, 517, 26], [1929991392, 403, 518, 25], [1929991392, 403, 519, 25], [1929991392, 403, 520, 24], [1929991392, 403, 521, 23], [1929991392, 404, 522, 21], [1929991392, 405, 523, 20], [1929991392, 406, 524, 18], [1929991392, 407, 525, 16], [1929991392, 408, 526, 15], [1929991392, 409, 527, 13], [1929991392, 410, 528, 6]], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333831349, 'hashtag_id': 511548407, 'type': 3243, 'x0': 0, 'x1': 325, 'y0': 611, 'y1': 640, 'score': 1.0, 'id': 0, 'points': ['0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,58,640,111,640,200,640,226,640,239,640,245,640,244,640,252,640,252,640,246,640,238,640,244,640,234,640,227,640,241,640,241,640,251,640,288,640,305,640,311,640,324,640,320,640,309,640,292,640,287,640,268,640,247,640,237,640,205,640,147,640,107,640,98,640,77,640,28,640,28,640,22,635,1,628,0,628,0,621,0,612,0,611,0,621,0,640', '0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,58,640,111,640,200,640,226,640,239,640,245,640,244,640,252,640,252,640,246,640,238,640,244,640,234,640,227,640,241,640,241,640,251,640,288,640,305,640,311,640,324,640,320,640,309,640,292,640,287,640,268,640,247,640,237,640,205,640,147,640,107,640,98,640,77,640,28,640,28,640,22,635,1,628,0,628,0,621,0,612,0,611,0,621,0,640'], 'sub_photo_id': 0, 'rles': [[1929991390, 0, 628, 3], [1929991390, 0, 629, 6], [1929991390, 0, 630, 9], [1929991390, 0, 631, 12], [1929991390, 0, 632, 15], [1929991390, 0, 633, 18], [1929991390, 0, 634, 21], [1929991390, 0, 635, 23], [1929991390, 0, 636, 23], [1929991390, 0, 637, 24], [1929991390, 0, 638, 24], [1929991390, 0, 639, 25]], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333831350, 'hashtag_id': 511548407, 'type': 3243, 'x0': 0, 'x1': 325, 'y0': 0, 'y1': 640, 'score': 1.0, 'id': 0, 'points': ['0,11,0,25,0,58,0,82,0,100,0,127,0,148,0,171,0,226,0,327,0,393,0,463,0,472,0,487,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,58,640,111,640,200,640,226,640,239,640,245,640,244,640,252,640,252,640,246,640,238,640,244,640,234,640,227,640,241,640,241,640,251,640,288,640,288,640,305,625,311,566,324,542,320,454,309,388,292,346,287,295,268,246,247,125,237,99,205,63,147,28,107,27,98,17,77,8,28,9,28,0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0', '0,11,0,25,0,58,0,82,0,100,0,127,0,148,0,171,0,226,0,327,0,393,0,463,0,472,0,487,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,0,640,58,640,111,640,200,640,226,640,239,640,245,640,244,640,252,640,252,640,246,640,238,640,244,640,234,640,227,640,241,640,241,640,251,640,288,640,288,640,305,625,311,566,324,542,320,454,309,388,292,346,287,295,268,246,247,125,237,99,205,63,147,28,107,27,98,17,77,8,28,9,28,0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0'], 'sub_photo_id': 0, 'rles': [[1929991390, 0, 0, 25], [1929991390, 0, 1, 26], [1929991390, 0, 2, 26], [1929991390, 0, 3, 26], [1929991390, 0, 4, 27], [1929991390, 0, 5, 27], [1929991390, 0, 6, 28], [1929991390, 0, 7, 28], [1929991390, 0, 8, 29], [1929991390, 53, 8, 26], [1929991390, 0, 9, 81], [1929991390, 0, 10, 83], [1929991390, 0, 11, 86], [1929991390, 0, 12, 88], [1929991390, 0, 13, 90], [1929991390, 0, 14, 93], [1929991390, 0, 15, 95], [1929991390, 0, 16, 97], [1929991390, 0, 17, 99], [1929991390, 0, 18, 100], [1929991390, 0, 19, 101], [1929991390, 0, 20, 102], [1929991390, 0, 21, 103], [1929991390, 0, 22, 103], [1929991390, 0, 23, 104], [1929991390, 0, 24, 105], [1929991390, 0, 25, 106], [1929991390, 0, 26, 107], [1929991390, 0, 27, 128], [1929991390, 0, 28, 148], [1929991390, 0, 29, 150], [1929991390, 0, 30, 152], [1929991390, 0, 31, 153], [1929991390, 0, 32, 155], [1929991390, 0, 33, 157], [1929991390, 0, 34, 158], [1929991390, 0, 35, 160], [1929991390, 0, 36, 162], [1929991390, 0, 37, 163], [1929991390, 0, 38, 165], [1929991390, 0, 39, 167], [1929991390, 0, 40, 168], [1929991390, 0, 41, 170], [1929991390, 0, 42, 172], [1929991390, 0, 43, 173], [1929991390, 0, 44, 175], [1929991390, 0, 45, 177], [1929991390, 0, 46, 178], [1929991390, 0, 47, 180], [1929991390, 0, 48, 181], [1929991390, 0, 49, 183], [1929991390, 0, 50, 185], [1929991390, 0, 51, 186], [1929991390, 0, 52, 188], [1929991390, 0, 53, 190], [1929991390, 0, 54, 191], [1929991390, 0, 55, 193], [1929991390, 0, 56, 195], [1929991390, 0, 57, 196], [1929991390, 0, 58, 198], [1929991390, 0, 59, 200], [1929991390, 0, 60, 201], [1929991390, 0, 61, 203], [1929991390, 0, 62, 205], [1929991390, 0, 63, 206], [1929991390, 0, 64, 207], [1929991390, 0, 65, 208], [1929991390, 0, 66, 209], [1929991390, 0, 67, 210], [1929991390, 0, 68, 210], [1929991390, 0, 69, 211], [1929991390, 0, 70, 212], [1929991390, 0, 71, 213], [1929991390, 0, 72, 214], [1929991390, 0, 73, 215], [1929991390, 0, 74, 216], [1929991390, 0, 75, 217], [1929991390, 0, 76, 218], [1929991390, 0, 77, 218], [1929991390, 0, 78, 219], [1929991390, 0, 79, 220], [1929991390, 0, 80, 221], [1929991390, 0, 81, 222], [1929991390, 0, 82, 223], [1929991390, 0, 83, 224], [1929991390, 0, 84, 225], [1929991390, 0, 85, 226], [1929991390, 0, 86, 226], [1929991390, 0, 87, 227], [1929991390, 0, 88, 228], [1929991390, 0, 89, 229], [1929991390, 0, 90, 230], [1929991390, 0, 91, 231], [1929991390, 0, 92, 232], [1929991390, 0, 93, 233], [1929991390, 0, 94, 234], [1929991390, 0, 95, 234], [1929991390, 0, 96, 235], [1929991390, 0, 97, 236], [1929991390, 0, 98, 237], [1929991390, 0, 99, 238], [1929991390, 0, 100, 238], [1929991390, 0, 101, 239], [1929991390, 0, 102, 239], [1929991390, 0, 103, 240], [1929991390, 0, 104, 240], [1929991390, 0, 105, 240], [1929991390, 0, 106, 241], [1929991390, 0, 107, 241], [1929991390, 0, 108, 241], [1929991390, 0, 109, 242], [1929991390, 0, 110, 242], [1929991390, 0, 111, 243], [1929991390, 0, 112, 243], [1929991390, 0, 113, 243], [1929991390, 0, 114, 244], [1929991390, 0, 115, 244], [1929991390, 0, 116, 245], [1929991390, 0, 117, 245], [1929991390, 0, 118, 245], [1929991390, 0, 119, 246], [1929991390, 0, 120, 246], [1929991390, 0, 121, 246], [1929991390, 0, 122, 247], [1929991390, 0, 123, 247], [1929991390, 0, 124, 248], [1929991390, 0, 125, 248], [1929991390, 0, 126, 248], [1929991390, 0, 127, 248], [1929991390, 0, 128, 249], [1929991390, 0, 129, 249], [1929991390, 0, 130, 249], [1929991390, 0, 131, 249], [1929991390, 0, 132, 249], [1929991390, 0, 133, 249], [1929991390, 0, 134, 250], [1929991390, 0, 135, 250], [1929991390, 0, 136, 250], [1929991390, 0, 137, 250], [1929991390, 0, 138, 250], [1929991390, 0, 139, 250], [1929991390, 0, 140, 251], [1929991390, 0, 141, 251], [1929991390, 0, 142, 251], [1929991390, 0, 143, 251], [1929991390, 0, 144, 251], [1929991390, 0, 145, 251], [1929991390, 0, 146, 252], [1929991390, 0, 147, 252], [1929991390, 0, 148, 252], [1929991390, 0, 149, 252], [1929991390, 0, 150, 252], [1929991390, 0, 151, 253], [1929991390, 0, 152, 253], [1929991390, 0, 153, 253], [1929991390, 0, 154, 253], [1929991390, 0, 155, 253], [1929991390, 0, 156, 253], [1929991390, 0, 157, 254], [1929991390, 0, 158, 254], [1929991390, 0, 159, 254], [1929991390, 0, 160, 254], [1929991390, 0, 161, 254], [1929991390, 0, 162, 254], [1929991390, 0, 163, 255], [1929991390, 0, 164, 255], [1929991390, 0, 165, 255], [1929991390, 0, 166, 255], [1929991390, 0, 167, 255], [1929991390, 0, 168, 255], [1929991390, 0, 169, 256], [1929991390, 0, 170, 256], [1929991390, 0, 171, 256], [1929991390, 0, 172, 256], [1929991390, 0, 173, 256], [1929991390, 0, 174, 257], [1929991390, 0, 175, 257], [1929991390, 0, 176, 257], [1929991390, 0, 177, 257], [1929991390, 0, 178, 257], [1929991390, 0, 179, 257], [1929991390, 0, 180, 258], [1929991390, 0, 181, 258], [1929991390, 0, 182, 258], [1929991390, 0, 183, 258], [1929991390, 0, 184, 258], [1929991390, 0, 185, 258], [1929991390, 0, 186, 259], [1929991390, 0, 187, 259], [1929991390, 0, 188, 259], [1929991390, 0, 189, 259], [1929991390, 0, 190, 259], [1929991390, 0, 191, 259], [1929991390, 0, 192, 260], [1929991390, 0, 193, 260], [1929991390, 0, 194, 260], [1929991390, 0, 195, 260], [1929991390, 0, 196, 260], [1929991390, 0, 197, 260], [1929991390, 0, 198, 261], [1929991390, 0, 199, 261], [1929991390, 0, 200, 261], [1929991390, 0, 201, 261], [1929991390, 0, 202, 261], [1929991390, 0, 203, 262], [1929991390, 0, 204, 262], [1929991390, 0, 205, 262], [1929991390, 0, 206, 262], [1929991390, 0, 207, 262], [1929991390, 0, 208, 262], [1929991390, 0, 209, 263], [1929991390, 0, 210, 263], [1929991390, 0, 211, 263], [1929991390, 0, 212, 263], [1929991390, 0, 213, 263], [1929991390, 0, 214, 263], [1929991390, 0, 215, 264], [1929991390, 0, 216, 264], [1929991390, 0, 217, 264], [1929991390, 0, 218, 264], [1929991390, 0, 219, 264], [1929991390, 0, 220, 264], [1929991390, 0, 221, 265], [1929991390, 0, 222, 265], [1929991390, 0, 223, 265], [1929991390, 0, 224, 265], [1929991390, 0, 225, 265], [1929991390, 0, 226, 266], [1929991390, 0, 227, 266], [1929991390, 0, 228, 266], [1929991390, 0, 229, 266], [1929991390, 0, 230, 266], [1929991390, 0, 231, 266], [1929991390, 0, 232, 267], [1929991390, 0, 233, 267], [1929991390, 0, 234, 267], [1929991390, 0, 235, 267], [1929991390, 0, 236, 267], [1929991390, 0, 237, 267], [1929991390, 0, 238, 268], [1929991390, 0, 239, 268], [1929991390, 0, 240, 268], [1929991390, 0, 241, 268], [1929991390, 0, 242, 268], [1929991390, 0, 243, 268], [1929991390, 0, 244, 269], [1929991390, 0, 245, 269], [1929991390, 0, 246, 269], [1929991390, 0, 247, 269], [1929991390, 0, 248, 270], [1929991390, 0, 249, 270], [1929991390, 0, 250, 271], [1929991390, 0, 251, 271], [1929991390, 0, 252, 271], [1929991390, 0, 253, 272], [1929991390, 0, 254, 272], [1929991390, 0, 255, 272], [1929991390, 0, 256, 273], [1929991390, 0, 257, 273], [1929991390, 0, 258, 274], [1929991390, 0, 259, 274], [1929991390, 0, 260, 274], [1929991390, 0, 261, 275], [1929991390, 0, 262, 275], [1929991390, 0, 263, 276], [1929991390, 0, 264, 276], [1929991390, 0, 265, 276], [1929991390, 0, 266, 277], [1929991390, 0, 267, 277], [1929991390, 0, 268, 278], [1929991390, 0, 269, 278], [1929991390, 0, 270, 278], [1929991390, 0, 271, 279], [1929991390, 0, 272, 279], [1929991390, 0, 273, 279], [1929991390, 0, 274, 280], [1929991390, 0, 275, 280], [1929991390, 0, 276, 281], [1929991390, 0, 277, 281], [1929991390, 0, 278, 281], [1929991390, 0, 279, 282], [1929991390, 0, 280, 282], [1929991390, 0, 281, 283], [1929991390, 0, 282, 283], [1929991390, 0, 283, 283], [1929991390, 0, 284, 284], [1929991390, 0, 285, 284], [1929991390, 0, 286, 285], [1929991390, 0, 287, 285], [1929991390, 0, 288, 285], [1929991390, 0, 289, 286], [1929991390, 0, 290, 286], [1929991390, 0, 291, 286], [1929991390, 0, 292, 287], [1929991390, 0, 293, 287], [1929991390, 0, 294, 288], [1929991390, 0, 295, 288], [1929991390, 0, 296, 288], [1929991390, 0, 297, 288], [1929991390, 0, 298, 288], [1929991390, 0, 299, 288], [1929991390, 0, 300, 288], [1929991390, 0, 301, 289], [1929991390, 0, 302, 289], [1929991390, 0, 303, 289], [1929991390, 0, 304, 289], [1929991390, 0, 305, 289], [1929991390, 0, 306, 289], [1929991390, 0, 307, 289], [1929991390, 0, 308, 289], [1929991390, 0, 309, 289], [1929991390, 0, 310, 289], [1929991390, 0, 311, 290], [1929991390, 0, 312, 290], [1929991390, 0, 313, 290], [1929991390, 0, 314, 290], [1929991390, 0, 315, 290], [1929991390, 0, 316, 290], [1929991390, 0, 317, 290], [1929991390, 0, 318, 290], [1929991390, 0, 319, 290], [1929991390, 0, 320, 290], [1929991390, 0, 321, 291], [1929991390, 0, 322, 291], [1929991390, 0, 323, 291], [1929991390, 0, 324, 291], [1929991390, 0, 325, 291], [1929991390, 0, 326, 291], [1929991390, 0, 327, 291], [1929991390, 0, 328, 291], [1929991390, 0, 329, 291], [1929991390, 0, 330, 291], [1929991390, 0, 331, 292], [1929991390, 0, 332, 292], [1929991390, 0, 333, 292], [1929991390, 0, 334, 292], [1929991390, 0, 335, 292], [1929991390, 0, 336, 292], [1929991390, 0, 337, 292], [1929991390, 0, 338, 292], [1929991390, 0, 339, 292], [1929991390, 0, 340, 292], [1929991390, 0, 341, 293], [1929991390, 0, 342, 293], [1929991390, 0, 343, 293], [1929991390, 0, 344, 293], [1929991390, 0, 345, 293], [1929991390, 0, 346, 293], [1929991390, 0, 347, 293], [1929991390, 0, 348, 294], [1929991390, 0, 349, 294], [1929991390, 0, 350, 295], [1929991390, 0, 351, 295], [1929991390, 0, 352, 295], [1929991390, 0, 353, 296], [1929991390, 0, 354, 296], [1929991390, 0, 355, 297], [1929991390, 0, 356, 297], [1929991390, 0, 357, 297], [1929991390, 0, 358, 298], [1929991390, 0, 359, 298], [1929991390, 0, 360, 299], [1929991390, 0, 361, 299], [1929991390, 0, 362, 299], [1929991390, 0, 363, 300], [1929991390, 0, 364, 300], [1929991390, 0, 365, 301], [1929991390, 0, 366, 301], [1929991390, 0, 367, 301], [1929991390, 0, 368, 302], [1929991390, 0, 369, 302], [1929991390, 0, 370, 303], [1929991390, 0, 371, 303], [1929991390, 0, 372, 304], [1929991390, 0, 373, 304], [1929991390, 0, 374, 304], [1929991390, 0, 375, 305], [1929991390, 0, 376, 305], [1929991390, 0, 377, 306], [1929991390, 0, 378, 306], [1929991390, 0, 379, 306], [1929991390, 0, 380, 307], [1929991390, 0, 381, 307], [1929991390, 0, 382, 308], [1929991390, 0, 383, 308], [1929991390, 0, 384, 308], [1929991390, 0, 385, 309], [1929991390, 0, 386, 309], [1929991390, 0, 387, 310], [1929991390, 0, 388, 310], [1929991390, 0, 389, 310], [1929991390, 0, 390, 310], [1929991390, 0, 391, 310], [1929991390, 0, 392, 311], [1929991390, 0, 393, 311], [1929991390, 0, 394, 311], [1929991390, 0, 395, 311], [1929991390, 0, 396, 311], [1929991390, 0, 397, 311], [1929991390, 0, 398, 312], [1929991390, 0, 399, 312], [1929991390, 0, 400, 312], [1929991390, 0, 401, 312], [1929991390, 0, 402, 312], [1929991390, 0, 403, 312], [1929991390, 0, 404, 313], [1929991390, 0, 405, 313], [1929991390, 0, 406, 313], [1929991390, 0, 407, 313], [1929991390, 0, 408, 313], [1929991390, 0, 409, 313], [1929991390, 0, 410, 314], [1929991390, 0, 411, 314], [1929991390, 0, 412, 314], [1929991390, 0, 413, 314], [1929991390, 0, 414, 314], [1929991390, 0, 415, 314], [1929991390, 0, 416, 315], [1929991390, 0, 417, 315], [1929991390, 0, 418, 315], [1929991390, 0, 419, 315], [1929991390, 0, 420, 315], [1929991390, 0, 421, 315], [1929991390, 0, 422, 316], [1929991390, 0, 423, 316], [1929991390, 0, 424, 316], [1929991390, 0, 425, 316], [1929991390, 0, 426, 316], [1929991390, 0, 427, 316], [1929991390, 0, 428, 317], [1929991390, 0, 429, 317], [1929991390, 0, 430, 317], [1929991390, 0, 431, 317], [1929991390, 0, 432, 317], [1929991390, 0, 433, 317], [1929991390, 0, 434, 318], [1929991390, 0, 435, 318], [1929991390, 0, 436, 318], [1929991390, 0, 437, 318], [1929991390, 0, 438, 318], [1929991390, 0, 439, 318], [1929991390, 0, 440, 319], [1929991390, 0, 441, 319], [1929991390, 0, 442, 319], [1929991390, 0, 443, 319], [1929991390, 0, 444, 319], [1929991390, 0, 445, 319], [1929991390, 0, 446, 320], [1929991390, 0, 447, 320], [1929991390, 0, 448, 320], [1929991390, 0, 449, 320], [1929991390, 0, 450, 320], [1929991390, 0, 451, 320], [1929991390, 0, 452, 321], [1929991390, 0, 453, 321], [1929991390, 0, 454, 321], [1929991390, 0, 455, 321], [1929991390, 0, 456, 321], [1929991390, 0, 457, 321], [1929991390, 0, 458, 321], [1929991390, 0, 459, 321], [1929991390, 0, 460, 321], [1929991390, 0, 461, 321], [1929991390, 0, 462, 321], [1929991390, 0, 463, 321], [1929991390, 0, 464, 321], [1929991390, 0, 465, 321], [1929991390, 0, 466, 322], [1929991390, 0, 467, 322], [1929991390, 0, 468, 322], [1929991390, 0, 469, 322], [1929991390, 0, 470, 322], [1929991390, 0, 471, 322], [1929991390, 0, 472, 322], [1929991390, 0, 473, 322], [1929991390, 0, 474, 322], [1929991390, 0, 475, 322], [1929991390, 0, 476, 322], [1929991390, 0, 477, 322], [1929991390, 0, 478, 322], [1929991390, 0, 479, 322], [1929991390, 0, 480, 322], [1929991390, 0, 481, 322], [1929991390, 0, 482, 322], [1929991390, 0, 483, 322], [1929991390, 0, 484, 322], [1929991390, 0, 485, 322], [1929991390, 0, 486, 322], [1929991390, 0, 487, 322], [1929991390, 0, 488, 323], [1929991390, 0, 489, 323], [1929991390, 0, 490, 323], [1929991390, 0, 491, 323], [1929991390, 0, 492, 323], [1929991390, 0, 493, 323], [1929991390, 0, 494, 323], [1929991390, 0, 495, 323], [1929991390, 0, 496, 323], [1929991390, 0, 497, 323], [1929991390, 0, 498, 323], [1929991390, 0, 499, 323], [1929991390, 0, 500, 323], [1929991390, 0, 501, 323], [1929991390, 0, 502, 323], [1929991390, 0, 503, 323], [1929991390, 0, 504, 323], [1929991390, 0, 505, 323], [1929991390, 0, 506, 323], [1929991390, 0, 507, 323], [1929991390, 0, 508, 323], [1929991390, 0, 509, 323], [1929991390, 0, 510, 324], [1929991390, 0, 511, 324], [1929991390, 0, 512, 324], [1929991390, 0, 513, 324], [1929991390, 0, 514, 324], [1929991390, 0, 515, 324], [1929991390, 0, 516, 324], [1929991390, 0, 517, 324], [1929991390, 0, 518, 324], [1929991390, 0, 519, 324], [1929991390, 0, 520, 324], [1929991390, 0, 521, 324], [1929991390, 0, 522, 324], [1929991390, 0, 523, 324], [1929991390, 0, 524, 324], [1929991390, 0, 525, 324], [1929991390, 0, 526, 324], [1929991390, 0, 527, 324], [1929991390, 0, 528, 324], [1929991390, 0, 529, 324], [1929991390, 0, 530, 324], [1929991390, 0, 531, 324], [1929991390, 0, 532, 325], [1929991390, 0, 533, 325], [1929991390, 0, 534, 325], [1929991390, 0, 535, 325], [1929991390, 0, 536, 325], [1929991390, 0, 537, 325], [1929991390, 0, 538, 325], [1929991390, 0, 539, 325], [1929991390, 0, 540, 325], [1929991390, 0, 541, 325], [1929991390, 0, 542, 325], [1929991390, 0, 543, 324], [1929991390, 0, 544, 324], [1929991390, 0, 545, 323], [1929991390, 0, 546, 323], [1929991390, 0, 547, 322], [1929991390, 0, 548, 322], [1929991390, 0, 549, 321], [1929991390, 0, 550, 321], [1929991390, 0, 551, 320], [1929991390, 0, 552, 320], [1929991390, 0, 553, 319], [1929991390, 0, 554, 318], [1929991390, 0, 555, 318], [1929991390, 0, 556, 317], [1929991390, 0, 557, 317], [1929991390, 0, 558, 316], [1929991390, 0, 559, 316], [1929991390, 0, 560, 315], [1929991390, 0, 561, 315], [1929991390, 0, 562, 314], [1929991390, 0, 563, 314], [1929991390, 0, 564, 313], [1929991390, 0, 565, 313], [1929991390, 0, 566, 312], [1929991390, 0, 567, 312], [1929991390, 0, 568, 312], [1929991390, 0, 569, 312], [1929991390, 0, 570, 312], [1929991390, 0, 571, 311], [1929991390, 0, 572, 311], [1929991390, 0, 573, 311], [1929991390, 0, 574, 311], [1929991390, 0, 575, 311], [1929991390, 0, 576, 311], [1929991390, 0, 577, 311], [1929991390, 0, 578, 311], [1929991390, 0, 579, 311], [1929991390, 0, 580, 311], [1929991390, 0, 581, 310], [1929991390, 0, 582, 310], [1929991390, 0, 583, 310], [1929991390, 0, 584, 310], [1929991390, 0, 585, 310], [1929991390, 0, 586, 310], [1929991390, 0, 587, 310], [1929991390, 0, 588, 310], [1929991390, 0, 589, 310], [1929991390, 0, 590, 310], [1929991390, 0, 591, 309], [1929991390, 0, 592, 309], [1929991390, 0, 593, 309], [1929991390, 0, 594, 309], [1929991390, 0, 595, 309], [1929991390, 0, 596, 309], [1929991390, 0, 597, 309], [1929991390, 0, 598, 309], [1929991390, 0, 599, 309], [1929991390, 0, 600, 309], [1929991390, 0, 601, 308], [1929991390, 0, 602, 308], [1929991390, 0, 603, 308], [1929991390, 0, 604, 308], [1929991390, 0, 605, 308], [1929991390, 0, 606, 308], [1929991390, 0, 607, 308], [1929991390, 0, 608, 308], [1929991390, 0, 609, 308], [1929991390, 0, 610, 308], [1929991390, 0, 611, 307], [1929991390, 0, 612, 307], [1929991390, 0, 613, 307], [1929991390, 0, 614, 307], [1929991390, 0, 615, 307], [1929991390, 0, 616, 307], [1929991390, 0, 617, 307], [1929991390, 0, 618, 307], [1929991390, 0, 619, 307], [1929991390, 0, 620, 307], [1929991390, 0, 621, 306], [1929991390, 0, 622, 306], [1929991390, 0, 623, 306], [1929991390, 0, 624, 306], [1929991390, 0, 625, 306], [1929991390, 0, 626, 305], [1929991390, 0, 627, 305], [1929991390, 0, 628, 304], [1929991390, 0, 629, 303], [1929991390, 0, 630, 303], [1929991390, 0, 631, 302], [1929991390, 0, 632, 302], [1929991390, 0, 633, 301], [1929991390, 0, 634, 300], [1929991390, 0, 635, 300], [1929991390, 0, 636, 299], [1929991390, 0, 637, 298], [1929991390, 0, 638, 298], [1929991390, 0, 639, 297]], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333831351, 'hashtag_id': 511548407, 'type': 3243, 'x0': 0, 'x1': 325, 'y0': 0, 'y1': 532, 'score': 1.0, 'id': 0, 'points': ['0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,129,0,186,0,228,0,287,0,354,0,491,0,523,0,529,0,524,0,518,0,520,58,523,111,531,200,522,226,530,239,529,245,518,244,484,252,444,252,382,246,340,238,332,244,286,234,259,227,197,241,174,241,161,251,135,288,108,305,81,311,22,311,0,324,0,320,0,309,0,292,0,287,0,268,0,247,0,237,0,205,0,147,0,107,0,98,0,77,0,28,0,22,0,1,0,0,0,0,0,0,0,0,0,0,0', '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,129,0,186,0,228,0,287,0,354,0,491,0,523,0,529,0,524,0,518,0,520,58,523,111,531,200,522,226,530,239,529,245,518,244,484,252,444,252,382,246,340,238,332,244,286,234,259,227,197,241,174,241,161,251,135,288,108,305,81,311,22,311,0,324,0,320,0,309,0,292,0,287,0,268,0,247,0,237,0,205,0,147,0,107,0,98,0,77,0,28,0,22,0,1,0,0,0,0,0,0,0,0,0,0,0'], 'sub_photo_id': 0, 'rles': [[1929991390, 0, 0, 324], [1929991390, 0, 1, 323], [1929991390, 0, 2, 323], [1929991390, 0, 3, 322], [1929991390, 0, 4, 322], [1929991390, 0, 5, 321], [1929991390, 0, 6, 321], [1929991390, 0, 7, 320], [1929991390, 0, 8, 320], [1929991390, 0, 9, 319], [1929991390, 0, 10, 318], [1929991390, 0, 11, 318], [1929991390, 0, 12, 317], [1929991390, 0, 13, 317], [1929991390, 0, 14, 316], [1929991390, 0, 15, 316], [1929991390, 0, 16, 315], [1929991390, 0, 17, 315], [1929991390, 0, 18, 314], [1929991390, 0, 19, 314], [1929991390, 0, 20, 313], [1929991390, 0, 21, 313], [1929991390, 0, 22, 312], [1929991390, 0, 23, 312], [1929991390, 0, 24, 312], [1929991390, 0, 25, 312], [1929991390, 0, 26, 312], [1929991390, 0, 27, 311], [1929991390, 0, 28, 311], [1929991390, 0, 29, 311], [1929991390, 0, 30, 311], [1929991390, 0, 31, 311], [1929991390, 0, 32, 311], [1929991390, 0, 33, 311], [1929991390, 0, 34, 311], [1929991390, 0, 35, 311], [1929991390, 0, 36, 311], [1929991390, 0, 37, 310], [1929991390, 0, 38, 310], [1929991390, 0, 39, 310], [1929991390, 0, 40, 310], [1929991390, 0, 41, 310], [1929991390, 0, 42, 310], [1929991390, 0, 43, 310], [1929991390, 0, 44, 310], [1929991390, 0, 45, 310], [1929991390, 0, 46, 310], [1929991390, 0, 47, 309], [1929991390, 0, 48, 309], [1929991390, 0, 49, 309], [1929991390, 0, 50, 309], [1929991390, 0, 51, 309], [1929991390, 0, 52, 309], [1929991390, 0, 53, 309], [1929991390, 0, 54, 309], [1929991390, 0, 55, 309], [1929991390, 0, 56, 309], [1929991390, 0, 57, 308], [1929991390, 0, 58, 308], [1929991390, 0, 59, 308], [1929991390, 0, 60, 308], [1929991390, 0, 61, 308], [1929991390, 0, 62, 308], [1929991390, 0, 63, 308], [1929991390, 0, 64, 308], [1929991390, 0, 65, 308], [1929991390, 0, 66, 308], [1929991390, 0, 67, 307], [1929991390, 0, 68, 307], [1929991390, 0, 69, 307], [1929991390, 0, 70, 307], [1929991390, 0, 71, 307], [1929991390, 0, 72, 307], [1929991390, 0, 73, 307], [1929991390, 0, 74, 307], [1929991390, 0, 75, 307], [1929991390, 0, 76, 307], [1929991390, 0, 77, 306], [1929991390, 0, 78, 306], [1929991390, 0, 79, 306], [1929991390, 0, 80, 306], [1929991390, 0, 81, 306], [1929991390, 0, 82, 305], [1929991390, 0, 83, 305], [1929991390, 0, 84, 304], [1929991390, 0, 85, 303], [1929991390, 0, 86, 303], [1929991390, 0, 87, 302], [1929991390, 0, 88, 302], [1929991390, 0, 89, 301], [1929991390, 0, 90, 300], [1929991390, 0, 91, 300], [1929991390, 0, 92, 299], [1929991390, 0, 93, 298], [1929991390, 0, 94, 298], [1929991390, 0, 95, 297], [1929991390, 0, 96, 297], [1929991390, 0, 97, 296], [1929991390, 0, 98, 295], [1929991390, 0, 99, 295], [1929991390, 0, 100, 294], [1929991390, 0, 101, 293], [1929991390, 0, 102, 293], [1929991390, 0, 103, 292], [1929991390, 0, 104, 292], [1929991390, 0, 105, 291], [1929991390, 0, 106, 290], [1929991390, 0, 107, 290], [1929991390, 0, 108, 289], [1929991390, 0, 109, 288], [1929991390, 0, 110, 286], [1929991390, 0, 111, 285], [1929991390, 0, 112, 284], [1929991390, 0, 113, 282], [1929991390, 0, 114, 281], [1929991390, 0, 115, 280], [1929991390, 0, 116, 278], [1929991390, 0, 117, 277], [1929991390, 0, 118, 275], [1929991390, 0, 119, 274], [1929991390, 0, 120, 273], [1929991390, 0, 121, 271], [1929991390, 0, 122, 270], [1929991390, 0, 123, 269], [1929991390, 0, 124, 267], [1929991390, 0, 125, 266], [1929991390, 0, 126, 265], [1929991390, 0, 127, 263], [1929991390, 0, 128, 262], [1929991390, 0, 129, 260], [1929991390, 0, 130, 259], [1929991390, 0, 131, 258], [1929991390, 0, 132, 256], [1929991390, 0, 133, 255], [1929991390, 0, 134, 254], [1929991390, 0, 135, 252], [1929991390, 0, 136, 252], [1929991390, 0, 137, 251], [1929991390, 0, 138, 251], [1929991390, 0, 139, 250], [1929991390, 0, 140, 250], [1929991390, 0, 141, 250], [1929991390, 0, 142, 249], [1929991390, 0, 143, 249], [1929991390, 0, 144, 249], [1929991390, 0, 145, 248], [1929991390, 0, 146, 248], [1929991390, 0, 147, 247], [1929991390, 0, 148, 247], [1929991390, 0, 149, 247], [1929991390, 0, 150, 246], [1929991390, 0, 151, 246], [1929991390, 0, 152, 245], [1929991390, 0, 153, 245], [1929991390, 0, 154, 245], [1929991390, 0, 155, 244], [1929991390, 0, 156, 244], [1929991390, 0, 157, 244], [1929991390, 0, 158, 243], [1929991390, 0, 159, 243], [1929991390, 0, 160, 242], [1929991390, 0, 161, 242], [1929991390, 0, 162, 242], [1929991390, 0, 163, 242], [1929991390, 0, 164, 242], [1929991390, 0, 165, 242], [1929991390, 0, 166, 242], [1929991390, 0, 167, 242], [1929991390, 0, 168, 242], [1929991390, 0, 169, 242], [1929991390, 0, 170, 242], [1929991390, 0, 171, 242], [1929991390, 0, 172, 242], [1929991390, 0, 173, 242], [1929991390, 0, 174, 242], [1929991390, 0, 175, 241], [1929991390, 0, 176, 241], [1929991390, 0, 177, 240], [1929991390, 0, 178, 240], [1929991390, 0, 179, 239], [1929991390, 0, 180, 238], [1929991390, 0, 181, 238], [1929991390, 0, 182, 237], [1929991390, 0, 183, 237], [1929991390, 0, 184, 236], [1929991390, 0, 185, 235], [1929991390, 0, 186, 235], [1929991390, 0, 187, 234], [1929991390, 0, 188, 233], [1929991390, 0, 189, 233], [1929991390, 0, 190, 232], [1929991390, 0, 191, 232], [1929991390, 0, 192, 231], [1929991390, 0, 193, 230], [1929991390, 0, 194, 230], [1929991390, 0, 195, 229], [1929991390, 0, 196, 229], [1929991390, 0, 197, 228], [1929991390, 0, 198, 228], [1929991390, 0, 199, 228], [1929991390, 0, 200, 228], [1929991390, 0, 201, 228], [1929991390, 0, 202, 229], [1929991390, 0, 203, 229], [1929991390, 0, 204, 229], [1929991390, 0, 205, 229], [1929991390, 0, 206, 229], [1929991390, 0, 207, 229], [1929991390, 0, 208, 229], [1929991390, 0, 209, 229], [1929991390, 0, 210, 229], [1929991390, 0, 211, 230], [1929991390, 0, 212, 230], [1929991390, 0, 213, 230], [1929991390, 0, 214, 230], [1929991390, 0, 215, 230], [1929991390, 0, 216, 230], [1929991390, 0, 217, 230], [1929991390, 0, 218, 230], [1929991390, 0, 219, 230], [1929991390, 0, 220, 231], [1929991390, 0, 221, 231], [1929991390, 0, 222, 231], [1929991390, 0, 223, 231], [1929991390, 0, 224, 231], [1929991390, 0, 225, 231], [1929991390, 0, 226, 231], [1929991390, 0, 227, 231], [1929991390, 0, 228, 231], [1929991390, 0, 229, 232], [1929991390, 0, 230, 232], [1929991390, 0, 231, 232], [1929991390, 0, 232, 232], [1929991390, 0, 233, 232], [1929991390, 0, 234, 232], [1929991390, 0, 235, 232], [1929991390, 0, 236, 232], [1929991390, 0, 237, 233], [1929991390, 0, 238, 233], [1929991390, 0, 239, 233], [1929991390, 0, 240, 233], [1929991390, 0, 241, 233], [1929991390, 0, 242, 233], [1929991390, 0, 243, 233], [1929991390, 0, 244, 233], [1929991390, 0, 245, 233], [1929991390, 0, 246, 234], [1929991390, 0, 247, 234], [1929991390, 0, 248, 234], [1929991390, 0, 249, 234], [1929991390, 0, 250, 234], [1929991390, 0, 251, 234], [1929991390, 0, 252, 234], [1929991390, 0, 253, 234], [1929991390, 0, 254, 234], [1929991390, 0, 255, 235], [1929991390, 0, 256, 235], [1929991390, 0, 257, 235], [1929991390, 0, 258, 235], [1929991390, 0, 259, 235], [1929991390, 0, 260, 235], [1929991390, 0, 261, 236], [1929991390, 0, 262, 236], [1929991390, 0, 263, 236], [1929991390, 0, 264, 237], [1929991390, 0, 265, 237], [1929991390, 0, 266, 238], [1929991390, 0, 267, 238], [1929991390, 0, 268, 238], [1929991390, 0, 269, 239], [1929991390, 0, 270, 239], [1929991390, 0, 271, 239], [1929991390, 0, 272, 240], [1929991390, 0, 273, 240], [1929991390, 0, 274, 241], [1929991390, 0, 275, 241], [1929991390, 0, 276, 241], [1929991390, 0, 277, 242], [1929991390, 0, 278, 242], [1929991390, 0, 279, 242], [1929991390, 0, 280, 243], [1929991390, 0, 281, 243], [1929991390, 0, 282, 244], [1929991390, 0, 283, 244], [1929991390, 0, 284, 244], [1929991390, 0, 285, 245], [1929991390, 0, 286, 245], [1929991390, 0, 287, 245], [1929991390, 0, 288, 245], [1929991390, 0, 289, 245], [1929991390, 0, 290, 244], [1929991390, 0, 291, 244], [1929991390, 0, 292, 244], [1929991390, 0, 293, 244], [1929991390, 0, 294, 244], [1929991390, 0, 295, 244], [1929991390, 0, 296, 244], [1929991390, 0, 297, 244], [1929991390, 0, 298, 243], [1929991390, 0, 299, 243], [1929991390, 0, 300, 243], [1929991390, 0, 301, 243], [1929991390, 0, 302, 243], [1929991390, 0, 303, 243], [1929991390, 0, 304, 243], [1929991390, 0, 305, 243], [1929991390, 0, 306, 242], [1929991390, 0, 307, 242], [1929991390, 0, 308, 242], [1929991390, 0, 309, 242], [1929991390, 0, 310, 242], [1929991390, 0, 311, 242], [1929991390, 0, 312, 242], [1929991390, 0, 313, 241], [1929991390, 0, 314, 241], [1929991390, 0, 315, 241], [1929991390, 0, 316, 241], [1929991390, 0, 317, 241], [1929991390, 0, 318, 241], [1929991390, 0, 319, 241], [1929991390, 0, 320, 241], [1929991390, 0, 321, 240], [1929991390, 0, 322, 240], [1929991390, 0, 323, 240], [1929991390, 0, 324, 240], [1929991390, 0, 325, 240], [1929991390, 0, 326, 240], [1929991390, 0, 327, 240], [1929991390, 0, 328, 240], [1929991390, 0, 329, 239], [1929991390, 0, 330, 239], [1929991390, 0, 331, 239], [1929991390, 0, 332, 239], [1929991390, 0, 333, 240], [1929991390, 0, 334, 241], [1929991390, 0, 335, 242], [1929991390, 0, 336, 243], [1929991390, 0, 337, 244], [1929991390, 0, 338, 245], [1929991390, 0, 339, 246], [1929991390, 0, 340, 247], [1929991390, 0, 341, 247], [1929991390, 0, 342, 247], [1929991390, 0, 343, 247], [1929991390, 0, 344, 248], [1929991390, 0, 345, 248], [1929991390, 0, 346, 248], [1929991390, 0, 347, 248], [1929991390, 0, 348, 248], [1929991390, 0, 349, 248], [1929991390, 0, 350, 248], [1929991390, 0, 351, 249], [1929991390, 0, 352, 249], [1929991390, 0, 353, 249], [1929991390, 0, 354, 249], [1929991390, 0, 355, 249], [1929991390, 0, 356, 249], [1929991390, 0, 357, 249], [1929991390, 0, 358, 250], [1929991390, 0, 359, 250], [1929991390, 0, 360, 250], [1929991390, 0, 361, 250], [1929991390, 0, 362, 250], [1929991390, 0, 363, 250], [1929991390, 0, 364, 250], [1929991390, 0, 365, 251], [1929991390, 0, 366, 251], [1929991390, 0, 367, 251], [1929991390, 0, 368, 251], [1929991390, 0, 369, 251], [1929991390, 0, 370, 251], [1929991390, 0, 371, 251], [1929991390, 0, 372, 252], [1929991390, 0, 373, 252], [1929991390, 0, 374, 252], [1929991390, 0, 375, 252], [1929991390, 0, 376, 252], [1929991390, 0, 377, 252], [1929991390, 0, 378, 252], [1929991390, 0, 379, 253], [1929991390, 0, 380, 253], [1929991390, 0, 381, 253], [1929991390, 0, 382, 253], [1929991390, 0, 383, 253], [1929991390, 0, 384, 253], [1929991390, 0, 385, 253], [1929991390, 0, 386, 253], [1929991390, 0, 387, 253], [1929991390, 0, 388, 253], [1929991390, 0, 389, 253], [1929991390, 0, 390, 253], [1929991390, 0, 391, 253], [1929991390, 0, 392, 253], [1929991390, 0, 393, 253], [1929991390, 0, 394, 253], [1929991390, 0, 395, 253], [1929991390, 0, 396, 253], [1929991390, 0, 397, 253], [1929991390, 0, 398, 253], [1929991390, 0, 399, 253], [1929991390, 0, 400, 253], [1929991390, 0, 401, 253], [1929991390, 0, 402, 253], [1929991390, 0, 403, 253], [1929991390, 0, 404, 253], [1929991390, 0, 405, 253], [1929991390, 0, 406, 253], [1929991390, 0, 407, 253], [1929991390, 0, 408, 253], [1929991390, 0, 409, 253], [1929991390, 0, 410, 253], [1929991390, 0, 411, 253], [1929991390, 0, 412, 253], [1929991390, 0, 413, 253], [1929991390, 0, 414, 253], [1929991390, 0, 415, 253], [1929991390, 0, 416, 253], [1929991390, 0, 417, 253], [1929991390, 0, 418, 253], [1929991390, 0, 419, 253], [1929991390, 0, 420, 253], [1929991390, 0, 421, 253], [1929991390, 0, 422, 253], [1929991390, 0, 423, 253], [1929991390, 0, 424, 253], [1929991390, 0, 425, 253], [1929991390, 0, 426, 253], [1929991390, 0, 427, 253], [1929991390, 0, 428, 253], [1929991390, 0, 429, 253], [1929991390, 0, 430, 253], [1929991390, 0, 431, 253], [1929991390, 0, 432, 253], [1929991390, 0, 433, 253], [1929991390, 0, 434, 253], [1929991390, 0, 435, 253], [1929991390, 0, 436, 253], [1929991390, 0, 437, 253], [1929991390, 0, 438, 253], [1929991390, 0, 439, 253], [1929991390, 0, 440, 253], [1929991390, 0, 441, 253], [1929991390, 0, 442, 253], [1929991390, 0, 443, 253], [1929991390, 0, 444, 253], [1929991390, 0, 445, 253], [1929991390, 0, 446, 253], [1929991390, 0, 447, 252], [1929991390, 0, 448, 252], [1929991390, 0, 449, 252], [1929991390, 0, 450, 252], [1929991390, 0, 451, 252], [1929991390, 0, 452, 251], [1929991390, 0, 453, 251], [1929991390, 0, 454, 251], [1929991390, 0, 455, 251], [1929991390, 0, 456, 251], [1929991390, 0, 457, 250], [1929991390, 0, 458, 250], [1929991390, 0, 459, 250], [1929991390, 0, 460, 250], [1929991390, 0, 461, 250], [1929991390, 0, 462, 249], [1929991390, 0, 463, 249], [1929991390, 0, 464, 249], [1929991390, 0, 465, 249], [1929991390, 0, 466, 249], [1929991390, 0, 467, 248], [1929991390, 0, 468, 248], [1929991390, 0, 469, 248], [1929991390, 0, 470, 248], [1929991390, 0, 471, 248], [1929991390, 0, 472, 247], [1929991390, 0, 473, 247], [1929991390, 0, 474, 247], [1929991390, 0, 475, 247], [1929991390, 0, 476, 247], [1929991390, 0, 477, 246], [1929991390, 0, 478, 246], [1929991390, 0, 479, 246], [1929991390, 0, 480, 246], [1929991390, 0, 481, 246], [1929991390, 0, 482, 245], [1929991390, 0, 483, 245], [1929991390, 0, 484, 245], [1929991390, 0, 485, 245], [1929991390, 0, 486, 245], [1929991390, 0, 487, 245], [1929991390, 0, 488, 245], [1929991390, 0, 489, 245], [1929991390, 0, 490, 245], [1929991390, 0, 491, 245], [1929991390, 0, 492, 245], [1929991390, 0, 493, 245], [1929991390, 0, 494, 245], [1929991390, 0, 495, 245], [1929991390, 0, 496, 245], [1929991390, 0, 497, 245], [1929991390, 0, 498, 245], [1929991390, 0, 499, 245], [1929991390, 0, 500, 245], [1929991390, 0, 501, 245], [1929991390, 0, 502, 246], [1929991390, 0, 503, 246], [1929991390, 0, 504, 246], [1929991390, 0, 505, 246], [1929991390, 0, 506, 246], [1929991390, 0, 507, 246], [1929991390, 0, 508, 246], [1929991390, 0, 509, 246], [1929991390, 0, 510, 246], [1929991390, 0, 511, 246], [1929991390, 0, 512, 246], [1929991390, 0, 513, 246], [1929991390, 0, 514, 246], [1929991390, 0, 515, 246], [1929991390, 0, 516, 246], [1929991390, 0, 517, 246], [1929991390, 0, 518, 246], [1929991390, 0, 519, 245], [1929991390, 0, 520, 245], [1929991390, 0, 521, 244], [1929991390, 16, 522, 228], [1929991390, 44, 523, 152], [1929991390, 202, 523, 41], [1929991390, 62, 524, 124], [1929991390, 205, 524, 38], [1929991390, 68, 525, 108], [1929991390, 209, 525, 33], [1929991390, 75, 526, 91], [1929991390, 212, 526, 30], [1929991390, 82, 527, 74], [1929991390, 215, 527, 26], [1929991390, 88, 528, 58], [1929991390, 218, 528, 23], [1929991390, 95, 529, 41], [1929991390, 222, 529, 18], [1929991390, 102, 530, 24], [1929991390, 225, 530, 8], [1929991390, 108, 531, 8]], 'hashtag': '', 'sum_segment': 0}"]
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 7 chid ids of type : 3243
INSERT IGNORE INTO MTRPhoto.crop_polygon_points (`crop_hashtag_id`, `points`) VALUES (%s, %s)
Number RLEs to save : 2937
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649471706', '487', '611', '30')
...
 last line : ('3649471712', '108', '531', '8')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

end of tileElapsed time : 11.288504600524902

map_pid_results : {'1333831336': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_0.jpg'], '1333831337': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_1.jpg'], '1333831338': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_2.jpg'], '1333831339': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_3.jpg'], '1333831340': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_4.jpg'], '1333831341': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_5.jpg'], '1333831342': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_6.jpg'], '1333831343': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_7.jpg'], '1333831344': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_8.jpg'], '1333831345': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_9.jpg'], '1333831346': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_10.jpg'], '1333831347': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_11.jpg'], '1333831348': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_12.jpg'], '1333831349': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_13.jpg'], '1333831350': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_14.jpg'], '1333831351': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_15.jpg'], '1333831352': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_16.jpg'], '1333831353': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_17.jpg'], '1333831354': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_18.jpg'], '1333831355': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_19.jpg'], '1333831356': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_20.jpg'], '1333831357': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_21.jpg'], '1333831358': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_22.jpg'], '1333831359': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_23.jpg']}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 18.560229539871216
time spend to save output : 7.176399230957031e-05
total time spend for step 1 : 18.560301303863525

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'1333831336': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_0.jpg'], '1333831337': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_1.jpg'], '1333831338': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_2.jpg'], '1333831339': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_3.jpg'], '1333831340': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_4.jpg'], '1333831341': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_5.jpg'], '1333831342': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_6.jpg'], '1333831343': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_7.jpg'], '1333831344': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_8.jpg'], '1333831345': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_9.jpg'], '1333831346': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_10.jpg'], '1333831347': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_11.jpg'], '1333831348': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_12.jpg'], '1333831349': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_13.jpg'], '1333831350': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_14.jpg'], '1333831351': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_15.jpg'], '1333831352': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_16.jpg'], '1333831353': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_17.jpg'], '1333831354': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_18.jpg'], '1333831355': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_19.jpg'], '1333831356': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_20.jpg'], '1333831357': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_21.jpg'], '1333831358': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_22.jpg'], '1333831359': ['temp/1738464308_2241491_1008283903_6d008d31a1477b2e98cbafa96bd48e53_23.jpg']}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1333831336,1333831337,1333831338,1333831339,1333831340,1333831341,1333831342,1333831343,1333831344,1333831345,1333831346,1333831347,1333831348,1333831349,1333831350,1333831351,1333831352,1333831353,1333831354,1333831355,1333831356,1333831357,1333831358,1333831359) and `type` in (3243) 
Loaded 7 chid ids of type : 3243
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3649471706,3649471707,3649471708,3649471709,3649471710,3649471711,3649471712)
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649471706. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649471707. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649471708. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649471709. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649471710. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649471711. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649471712. Ignored now
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649471706,3649471707,3649471708,3649471709,3649471710,3649471711,3649471712)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649471706,3649471707,3649471708,3649471709,3649471710,3649471711,3649471712)
fin du test de tile

############################### TEST rotate_chi  ################################
test rotate avec chi rectangles, rles, polygones
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2970

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2970
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2970
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2970
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rotate
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3337029) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3337029)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1003369118, 'portfolio_id': 3337029}]
 map_portfolio_id_photo_id: {3337029: [1003369118]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1003369118
download finish for photo 1003369118
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.28986144065856934
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rotate
Sun Feb  2 03:45:27 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg': 1003369118}
map_photo_id_path_extension : {1003369118: {'path': 'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step_rotate !
Warning, new_feed_id is empty !
We are in a linear step without datou_depend !
rotate photos of 0,90,180,270 degres
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1003369118) and `type` in (3086) 
Loaded 16 chid ids of type : 3086
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1928951187,1928951188,1928951189,1928951190,1928951191,1928951192,1928951193,1928951194,1928951195,1928951196,1928951197,1928951198,1928951199,1928951200,1928951201,1928951202)
++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1928951187,1928951188,1928951189,1928951190,1928951191,1928951192,1928951193,1928951194,1928951195,1928951196,1928951197,1928951198,1928951199,1928951200,1928951201,1928951202)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1928951187,1928951188,1928951189,1928951190,1928951191,1928951192,1928951193,1928951194,1928951195,1928951196,1928951197,1928951198,1928951199,1928951200,1928951201,1928951202)
 map_chi : {1003369118: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ab20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38af70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38aeb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ae80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a9d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7658e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659a0>]}
https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc
 feed_id_new_photos : 20149275
 photo_id in download_rotate_and_save : 1003369118 list_chi_loc : 16
Use all angle !
Rotation of photo 1003369118 of 0 degree
temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ab20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38af70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38aeb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ae80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a9d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7658e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659a0>] 0
 remove_crop_border : False
version de PIL : 9.5.0
[[ 1.  0.]
 [-0.  1.]]
0
[[ 1.  0.]
 [-0.  1.]]
 shrink_image : False
 len(list_crops) : 16
time for calcul the mask position with numpy : 0.009390830993652344
nb_pixel_total : 110633
time to create 1 rle with old method : 0.11702728271484375
.time for calcul the mask position with numpy : 0.008749008178710938
nb_pixel_total : 15826
time to create 1 rle with old method : 0.016740083694458008
.time for calcul the mask position with numpy : 0.016377925872802734
nb_pixel_total : 5286
time to create 1 rle with old method : 0.009927034378051758
.time for calcul the mask position with numpy : 0.008967876434326172
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0018620491027832031
.time for calcul the mask position with numpy : 0.009868144989013672
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11825060844421387
.time for calcul the mask position with numpy : 0.008927106857299805
nb_pixel_total : 4393
time to create 1 rle with old method : 0.0049495697021484375
.time for calcul the mask position with numpy : 0.008310079574584961
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007050037384033203
.time for calcul the mask position with numpy : 0.03012537956237793
nb_pixel_total : 62627
time to create 1 rle with old method : 0.07222270965576172
.time for calcul the mask position with numpy : 0.05397629737854004
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03860139846801758
.time for calcul the mask position with numpy : 0.013244867324829102
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04286670684814453
.time for calcul the mask position with numpy : 0.014948606491088867
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05566120147705078
.time for calcul the mask position with numpy : 0.03579974174499512
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.3163571357727051
.time for calcul the mask position with numpy : 0.009002923965454102
nb_pixel_total : 2310
time to create 1 rle with old method : 0.0024597644805908203
.time for calcul the mask position with numpy : 0.026699304580688477
nb_pixel_total : 2256
time to create 1 rle with old method : 0.002646923065185547
.time for calcul the mask position with numpy : 0.00907278060913086
nb_pixel_total : 3112
time to create 1 rle with old method : 0.003345012664794922
.time for calcul the mask position with numpy : 0.04768538475036621
nb_pixel_total : 1662
time to create 1 rle with old method : 0.002560138702392578
.len(list_crops_rotate) : 16
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 574, 'y0': 1038, 'y1': 1438, 'score': 1.0, 'id': None, 'points': ['1,1038,97,1108,179,1182,245,1230,274,1204,337,1245,310,1279,313,1288,577,1440,-1,1438'], 'sub_photo_id': 0, 'rles': [(-1, 1, 1038, 1), (-1, 1, 1039, 3), (-1, 1, 1040, 4), (-1, 1, 1041, 5), (-1, 1, 1042, 7), (-1, 1, 1043, 8), (-1, 1, 1044, 9), (-1, 1, 1045, 11), (-1, 1, 1046, 12), (-1, 1, 1047, 14), (-1, 1, 1048, 15), (-1, 1, 1049, 16), (-1, 1, 1050, 18), (-1, 1, 1051, 19), (-1, 1, 1052, 20), (-1, 1, 1053, 22), (-1, 1, 1054, 23), (-1, 1, 1055, 25), (-1, 1, 1056, 26), (-1, 1, 1057, 27), (-1, 1, 1058, 29), (-1, 1, 1059, 30), (-1, 1, 1060, 31), (-1, 1, 1061, 33), (-1, 1, 1062, 34), (-1, 1, 1063, 35), (-1, 1, 1064, 37), (-1, 1, 1065, 38), (-1, 1, 1066, 40), (-1, 1, 1067, 41), (-1, 1, 1068, 42), (-1, 1, 1069, 44), (-1, 1, 1070, 45), (-1, 1, 1071, 46), (-1, 1, 1072, 48), (-1, 1, 1073, 49), (-1, 1, 1074, 51), (-1, 1, 1075, 52), (-1, 1, 1076, 53), (-1, 1, 1077, 55), (-1, 1, 1078, 56), (-1, 1, 1079, 57), (-1, 1, 1080, 59), (-1, 1, 1081, 60), (-1, 1, 1082, 62), (-1, 1, 1083, 63), (-1, 1, 1084, 64), (-1, 1, 1085, 66), (-1, 1, 1086, 67), (-1, 1, 1087, 68), (-1, 1, 1088, 70), (-1, 1, 1089, 71), (-1, 1, 1090, 73), (-1, 1, 1091, 74), (-1, 1, 1092, 75), (-1, 1, 1093, 77), (-1, 1, 1094, 78), (-1, 1, 1095, 79), (-1, 1, 1096, 81), (-1, 1, 1097, 82), (-1, 1, 1098, 83), (-1, 1, 1099, 85), (-1, 1, 1100, 86), (-1, 1, 1101, 88), (-1, 1, 1102, 89), (-1, 1, 1103, 90), (-1, 1, 1104, 92), (-1, 1, 1105, 93), (-1, 1, 1106, 94), (-1, 1, 1107, 96), (-1, 1, 1108, 97), (-1, 1, 1109, 98), (-1, 1, 1110, 99), (-1, 1, 1111, 100), (-1, 1, 1112, 101), (-1, 1, 1113, 103), (-1, 1, 1114, 104), (-1, 1, 1115, 105), (-1, 1, 1116, 106), (-1, 1, 1117, 107), (-1, 1, 1118, 108), (-1, 1, 1119, 109), (-1, 1, 1120, 110), (-1, 1, 1121, 111), (-1, 1, 1122, 113), (-1, 1, 1123, 114), (-1, 1, 1124, 115), (-1, 1, 1125, 116), (-1, 1, 1126, 117), (-1, 1, 1127, 118), (-1, 1, 1128, 119), (-1, 1, 1129, 120), (-1, 1, 1130, 121), (-1, 1, 1131, 123), (-1, 1, 1132, 124), (-1, 1, 1133, 125), (-1, 1, 1134, 126), (-1, 1, 1135, 127), (-1, 1, 1136, 128), (-1, 1, 1137, 129), (-1, 0, 1138, 131), (-1, 0, 1139, 132), (-1, 0, 1140, 134), (-1, 0, 1141, 135), (-1, 0, 1142, 136), (-1, 0, 1143, 137), (-1, 0, 1144, 138), (-1, 0, 1145, 139), (-1, 0, 1146, 140), (-1, 0, 1147, 141), (-1, 0, 1148, 142), (-1, 0, 1149, 143), (-1, 0, 1150, 145), (-1, 0, 1151, 146), (-1, 0, 1152, 147), (-1, 0, 1153, 148), (-1, 0, 1154, 149), (-1, 0, 1155, 150), (-1, 0, 1156, 151), (-1, 0, 1157, 152), (-1, 0, 1158, 153), (-1, 0, 1159, 155), (-1, 0, 1160, 156), (-1, 0, 1161, 157), (-1, 0, 1162, 158), (-1, 0, 1163, 159), (-1, 0, 1164, 160), (-1, 0, 1165, 161), (-1, 0, 1166, 162), (-1, 0, 1167, 163), (-1, 0, 1168, 165), (-1, 0, 1169, 166), (-1, 0, 1170, 167), (-1, 0, 1171, 168), (-1, 0, 1172, 169), (-1, 0, 1173, 170), (-1, 0, 1174, 171), (-1, 0, 1175, 172), (-1, 0, 1176, 173), (-1, 0, 1177, 175), (-1, 0, 1178, 176), (-1, 0, 1179, 177), (-1, 0, 1180, 178), (-1, 0, 1181, 179), (-1, 0, 1182, 180), (-1, 0, 1183, 182), (-1, 0, 1184, 183), (-1, 0, 1185, 184), (-1, 0, 1186, 186), (-1, 0, 1187, 187), (-1, 0, 1188, 188), (-1, 0, 1189, 190), (-1, 0, 1190, 191), (-1, 0, 1191, 193), (-1, 0, 1192, 194), (-1, 0, 1193, 195), (-1, 0, 1194, 197), (-1, 0, 1195, 198), (-1, 0, 1196, 199), (-1, 0, 1197, 201), (-1, 0, 1198, 202), (-1, 0, 1199, 204), (-1, 0, 1200, 205), (-1, 0, 1201, 206), (-1, 0, 1202, 208), (-1, 0, 1203, 209), (-1, 0, 1204, 210), (-1, 274, 1204, 1), (-1, 0, 1205, 212), (-1, 273, 1205, 4), (-1, 0, 1206, 213), (-1, 272, 1206, 6), (-1, 0, 1207, 215), (-1, 271, 1207, 9), (-1, 0, 1208, 216), (-1, 269, 1208, 12), (-1, 0, 1209, 217), (-1, 268, 1209, 15), (-1, 0, 1210, 219), (-1, 267, 1210, 17), (-1, 0, 1211, 220), (-1, 266, 1211, 20), (-1, 0, 1212, 221), (-1, 265, 1212, 23), (-1, 0, 1213, 223), (-1, 264, 1213, 25), (-1, 0, 1214, 224), (-1, 263, 1214, 28), (-1, 0, 1215, 226), (-1, 262, 1215, 30), (-1, 0, 1216, 227), (-1, 261, 1216, 33), (-1, 0, 1217, 228), (-1, 259, 1217, 36), (-1, 0, 1218, 230), (-1, 258, 1218, 39), (-1, 0, 1219, 231), (-1, 257, 1219, 41), (-1, 0, 1220, 232), (-1, 256, 1220, 44), (-1, 0, 1221, 234), (-1, 255, 1221, 46), (-1, 0, 1222, 235), (-1, 254, 1222, 49), (-1, 0, 1223, 237), (-1, 253, 1223, 51), (-1, 0, 1224, 238), (-1, 252, 1224, 54), (-1, 0, 1225, 239), (-1, 251, 1225, 57), (-1, 0, 1226, 241), (-1, 249, 1226, 60), (-1, 0, 1227, 242), (-1, 248, 1227, 63), (-1, 0, 1228, 243), (-1, 247, 1228, 65), (-1, 0, 1229, 245), (-1, 246, 1229, 68), (-1, 0, 1230, 315), (-1, 0, 1231, 317), (-1, 0, 1232, 318), (-1, 0, 1233, 320), (-1, 0, 1234, 321), (-1, 0, 1235, 323), (-1, 0, 1236, 324), (-1, 0, 1237, 326), (-1, 0, 1238, 328), (-1, 0, 1239, 329), (-1, 0, 1240, 331), (-1, 0, 1241, 332), (-1, 0, 1242, 334), (-1, 0, 1243, 335), (-1, 0, 1244, 337), (-1, 0, 1245, 338), (-1, 0, 1246, 337), (-1, 0, 1247, 336), (-1, 0, 1248, 336), (-1, 0, 1249, 335), (-1, 0, 1250, 334), (-1, 0, 1251, 333), (-1, 0, 1252, 332), (-1, 0, 1253, 332), (-1, 0, 1254, 331), (-1, 0, 1255, 330), (-1, 0, 1256, 329), (-1, 0, 1257, 328), (-1, 0, 1258, 328), (-1, 0, 1259, 327), (-1, 0, 1260, 326), (-1, 0, 1261, 325), (-1, 0, 1262, 324), (-1, 0, 1263, 324), (-1, 0, 1264, 323), (-1, 0, 1265, 322), (-1, 0, 1266, 321), (-1, 0, 1267, 321), (-1, 0, 1268, 320), (-1, 0, 1269, 319), (-1, 0, 1270, 318), (-1, 0, 1271, 317), (-1, 0, 1272, 317), (-1, 0, 1273, 316), (-1, 0, 1274, 315), (-1, 0, 1275, 314), (-1, 0, 1276, 313), (-1, 0, 1277, 313), (-1, 0, 1278, 312), (-1, 0, 1279, 311), (-1, 0, 1280, 311), (-1, 0, 1281, 312), (-1, 0, 1282, 312), (-1, 0, 1283, 312), (-1, 0, 1284, 313), (-1, 0, 1285, 313), (-1, 0, 1286, 313), (-1, 0, 1287, 314), (-1, 0, 1288, 314), (-1, 0, 1289, 316), (-1, 0, 1290, 318), (-1, 0, 1291, 320), (-1, 0, 1292, 321), (-1, 0, 1293, 323), (-1, 0, 1294, 325), (-1, 0, 1295, 327), (-1, 0, 1296, 328), (-1, 0, 1297, 330), (-1, 0, 1298, 332), (-1, 0, 1299, 334), (-1, 0, 1300, 335), (-1, 0, 1301, 337), (-1, 0, 1302, 339), (-1, 0, 1303, 340), (-1, 0, 1304, 342), (-1, 0, 1305, 344), (-1, 0, 1306, 346), (-1, 0, 1307, 347), (-1, 0, 1308, 349), (-1, 0, 1309, 351), (-1, 0, 1310, 353), (-1, 0, 1311, 354), (-1, 0, 1312, 356), (-1, 0, 1313, 358), (-1, 0, 1314, 360), (-1, 0, 1315, 361), (-1, 0, 1316, 363), (-1, 0, 1317, 365), (-1, 0, 1318, 367), (-1, 0, 1319, 368), (-1, 0, 1320, 370), (-1, 0, 1321, 372), (-1, 0, 1322, 374), (-1, 0, 1323, 375), (-1, 0, 1324, 377), (-1, 0, 1325, 379), (-1, 0, 1326, 380), (-1, 0, 1327, 382), (-1, 0, 1328, 384), (-1, 0, 1329, 386), (-1, 0, 1330, 387), (-1, 0, 1331, 389), (-1, 0, 1332, 391), (-1, 0, 1333, 393), (-1, 0, 1334, 394), (-1, 0, 1335, 396), (-1, 0, 1336, 398), (-1, 0, 1337, 400), (-1, 0, 1338, 401), (-1, 0, 1339, 403), (-1, 0, 1340, 405), (-1, 0, 1341, 407), (-1, 0, 1342, 408), (-1, 0, 1343, 410), (-1, 0, 1344, 412), (-1, 0, 1345, 414), (-1, 0, 1346, 415), (-1, 0, 1347, 417), (-1, 0, 1348, 419), (-1, 0, 1349, 421), (-1, 0, 1350, 422), (-1, 0, 1351, 424), (-1, 0, 1352, 426), (-1, 0, 1353, 427), (-1, 0, 1354, 429), (-1, 0, 1355, 431), (-1, 0, 1356, 433), (-1, 0, 1357, 434), (-1, 0, 1358, 436), (-1, 0, 1359, 438), (-1, 0, 1360, 440), (-1, 0, 1361, 441), (-1, 0, 1362, 443), (-1, 0, 1363, 445), (-1, 0, 1364, 447), (-1, 0, 1365, 448), (-1, 0, 1366, 450), (-1, 0, 1367, 452), (-1, 0, 1368, 454), (-1, 0, 1369, 455), (-1, 0, 1370, 457), (-1, 0, 1371, 459), (-1, 0, 1372, 461), (-1, 0, 1373, 462), (-1, 0, 1374, 464), (-1, 0, 1375, 466), (-1, 0, 1376, 467), (-1, 0, 1377, 469), (-1, 0, 1378, 471), (-1, 0, 1379, 473), (-1, 0, 1380, 474), (-1, 0, 1381, 476), (-1, 0, 1382, 478), (-1, 0, 1383, 480), (-1, 0, 1384, 481), (-1, 0, 1385, 483), (-1, 0, 1386, 485), (-1, 0, 1387, 487), (-1, 0, 1388, 488), (-1, 0, 1389, 490), (-1, 0, 1390, 492), (-1, 0, 1391, 494), (-1, 0, 1392, 495), (-1, 0, 1393, 497), (-1, 0, 1394, 499), (-1, 0, 1395, 501), (-1, 0, 1396, 502), (-1, 0, 1397, 504), (-1, 0, 1398, 506), (-1, 0, 1399, 508), (-1, 0, 1400, 509), (-1, 0, 1401, 511), (-1, 0, 1402, 513), (-1, 0, 1403, 514), (-1, 0, 1404, 516), (-1, 0, 1405, 518), (-1, 0, 1406, 520), (-1, 0, 1407, 521), (-1, 0, 1408, 523), (-1, 0, 1409, 525), (-1, 0, 1410, 527), (-1, 0, 1411, 528), (-1, 0, 1412, 530), (-1, 0, 1413, 532), (-1, 0, 1414, 534), (-1, 0, 1415, 535), (-1, 0, 1416, 537), (-1, 0, 1417, 539), (-1, 0, 1418, 541), (-1, 0, 1419, 542), (-1, 0, 1420, 544), (-1, 0, 1421, 546), (-1, 0, 1422, 548), (-1, 0, 1423, 549), (-1, 0, 1424, 551), (-1, 0, 1425, 553), (-1, 0, 1426, 554), (-1, 0, 1427, 556), (-1, 0, 1428, 558), (-1, 0, 1429, 560), (-1, 0, 1430, 561), (-1, 0, 1431, 563), (-1, 0, 1432, 565), (-1, 0, 1433, 567), (-1, 0, 1434, 568), (-1, 0, 1435, 570), (-1, 0, 1436, 572), (-1, 0, 1437, 574), (-1, 0, 1438, 575)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 73, 'x1': 179, 'y0': 367, 'y1': 607, 'score': 1.0, 'id': None, 'points': ['73,565,131,600,173,607,179,598,179,574,175,546,166,525,133,372,106,367'], 'sub_photo_id': 0, 'rles': [(-1, 106, 367, 3), (-1, 106, 368, 9), (-1, 106, 369, 14), (-1, 105, 370, 20), (-1, 105, 371, 26), (-1, 105, 372, 29), (-1, 105, 373, 29), (-1, 105, 374, 29), (-1, 105, 375, 30), (-1, 104, 376, 31), (-1, 104, 377, 31), (-1, 104, 378, 31), (-1, 104, 379, 32), (-1, 104, 380, 32), (-1, 104, 381, 32), (-1, 103, 382, 33), (-1, 103, 383, 33), (-1, 103, 384, 34), (-1, 103, 385, 34), (-1, 103, 386, 34), (-1, 103, 387, 34), (-1, 102, 388, 35), (-1, 102, 389, 36), (-1, 102, 390, 36), (-1, 102, 391, 36), (-1, 102, 392, 36), (-1, 102, 393, 37), (-1, 101, 394, 38), (-1, 101, 395, 38), (-1, 101, 396, 38), (-1, 101, 397, 38), (-1, 101, 398, 39), (-1, 101, 399, 39), (-1, 100, 400, 40), (-1, 100, 401, 40), (-1, 100, 402, 40), (-1, 100, 403, 41), (-1, 100, 404, 41), (-1, 100, 405, 41), (-1, 99, 406, 42), (-1, 99, 407, 43), (-1, 99, 408, 43), (-1, 99, 409, 43), (-1, 99, 410, 43), (-1, 99, 411, 43), (-1, 98, 412, 45), (-1, 98, 413, 45), (-1, 98, 414, 45), (-1, 98, 415, 45), (-1, 98, 416, 45), (-1, 98, 417, 46), (-1, 97, 418, 47), (-1, 97, 419, 47), (-1, 97, 420, 47), (-1, 97, 421, 48), (-1, 97, 422, 48), (-1, 97, 423, 48), (-1, 96, 424, 49), (-1, 96, 425, 49), (-1, 96, 426, 50), (-1, 96, 427, 50), (-1, 96, 428, 50), (-1, 96, 429, 50), (-1, 95, 430, 52), (-1, 95, 431, 52), (-1, 95, 432, 52), (-1, 95, 433, 52), (-1, 95, 434, 52), (-1, 95, 435, 53), (-1, 94, 436, 54), (-1, 94, 437, 54), (-1, 94, 438, 54), (-1, 94, 439, 54), (-1, 94, 440, 55), (-1, 94, 441, 55), (-1, 93, 442, 56), (-1, 93, 443, 56), (-1, 93, 444, 57), (-1, 93, 445, 57), (-1, 93, 446, 57), (-1, 93, 447, 57), (-1, 92, 448, 58), (-1, 92, 449, 59), (-1, 92, 450, 59), (-1, 92, 451, 59), (-1, 92, 452, 59), (-1, 92, 453, 59), (-1, 91, 454, 61), (-1, 91, 455, 61), (-1, 91, 456, 61), (-1, 91, 457, 61), (-1, 91, 458, 62), (-1, 91, 459, 62), (-1, 90, 460, 63), (-1, 90, 461, 63), (-1, 90, 462, 63), (-1, 90, 463, 64), (-1, 90, 464, 64), (-1, 90, 465, 64), (-1, 89, 466, 65), (-1, 89, 467, 65), (-1, 89, 468, 66), (-1, 89, 469, 66), (-1, 89, 470, 66), (-1, 89, 471, 66), (-1, 88, 472, 68), (-1, 88, 473, 68), (-1, 88, 474, 68), (-1, 88, 475, 68), (-1, 88, 476, 68), (-1, 88, 477, 69), (-1, 87, 478, 70), (-1, 87, 479, 70), (-1, 87, 480, 70), (-1, 87, 481, 71), (-1, 87, 482, 71), (-1, 87, 483, 71), (-1, 86, 484, 72), (-1, 86, 485, 72), (-1, 86, 486, 73), (-1, 86, 487, 73), (-1, 86, 488, 73), (-1, 86, 489, 73), (-1, 85, 490, 74), (-1, 85, 491, 75), (-1, 85, 492, 75), (-1, 85, 493, 75), (-1, 85, 494, 75), (-1, 85, 495, 76), (-1, 84, 496, 77), (-1, 84, 497, 77), (-1, 84, 498, 77), (-1, 84, 499, 77), (-1, 84, 500, 78), (-1, 84, 501, 78), (-1, 83, 502, 79), (-1, 83, 503, 79), (-1, 83, 504, 79), (-1, 83, 505, 80), (-1, 83, 506, 80), (-1, 83, 507, 80), (-1, 82, 508, 81), (-1, 82, 509, 82), (-1, 82, 510, 82), (-1, 82, 511, 82), (-1, 82, 512, 82), (-1, 82, 513, 82), (-1, 81, 514, 84), (-1, 81, 515, 84), (-1, 81, 516, 84), (-1, 81, 517, 84), (-1, 81, 518, 84), (-1, 81, 519, 85), (-1, 80, 520, 86), (-1, 80, 521, 86), (-1, 80, 522, 86), (-1, 80, 523, 87), (-1, 80, 524, 87), (-1, 80, 525, 87), (-1, 79, 526, 88), (-1, 79, 527, 89), (-1, 79, 528, 89), (-1, 79, 529, 90), (-1, 79, 530, 90), (-1, 79, 531, 91), (-1, 78, 532, 92), (-1, 78, 533, 92), (-1, 78, 534, 93), (-1, 78, 535, 93), (-1, 78, 536, 94), (-1, 78, 537, 94), (-1, 77, 538, 96), (-1, 77, 539, 96), (-1, 77, 540, 96), (-1, 77, 541, 97), (-1, 77, 542, 97), (-1, 77, 543, 98), (-1, 76, 544, 99), (-1, 76, 545, 100), (-1, 76, 546, 100), (-1, 76, 547, 100), (-1, 76, 548, 100), (-1, 76, 549, 100), (-1, 75, 550, 102), (-1, 75, 551, 102), (-1, 75, 552, 102), (-1, 75, 553, 102), (-1, 75, 554, 102), (-1, 75, 555, 102), (-1, 74, 556, 103), (-1, 74, 557, 104), (-1, 74, 558, 104), (-1, 74, 559, 104), (-1, 74, 560, 104), (-1, 74, 561, 104), (-1, 73, 562, 105), (-1, 73, 563, 105), (-1, 73, 564, 106), (-1, 73, 565, 106), (-1, 74, 566, 105), (-1, 76, 567, 103), (-1, 78, 568, 101), (-1, 79, 569, 100), (-1, 81, 570, 98), (-1, 83, 571, 97), (-1, 84, 572, 96), (-1, 86, 573, 94), (-1, 88, 574, 92), (-1, 89, 575, 91), (-1, 91, 576, 89), (-1, 93, 577, 87), (-1, 94, 578, 86), (-1, 96, 579, 84), (-1, 98, 580, 82), (-1, 99, 581, 81), (-1, 101, 582, 79), (-1, 103, 583, 77), (-1, 104, 584, 76), (-1, 106, 585, 74), (-1, 107, 586, 73), (-1, 109, 587, 71), (-1, 111, 588, 69), (-1, 112, 589, 68), (-1, 114, 590, 66), (-1, 116, 591, 64), (-1, 117, 592, 63), (-1, 119, 593, 61), (-1, 121, 594, 59), (-1, 122, 595, 58), (-1, 124, 596, 56), (-1, 126, 597, 54), (-1, 127, 598, 53), (-1, 129, 599, 50), (-1, 131, 600, 48), (-1, 135, 601, 43), (-1, 141, 602, 36), (-1, 147, 603, 30), (-1, 153, 604, 23), (-1, 159, 605, 16), (-1, 165, 606, 10), (-1, 171, 607, 3)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 397, 'x1': 614, 'y0': 417, 'y1': 493, 'score': 1.0, 'id': None, 'points': ['397,493,484,472,509,466,532,466,614,463,574,442,562,421,553,417,505,436,520,444,515,451,494,439,475,448,452,457'], 'sub_photo_id': 0, 'rles': [(-1, 552, 417, 3), (-1, 550, 418, 7), (-1, 547, 419, 12), (-1, 545, 420, 16), (-1, 542, 421, 21), (-1, 540, 422, 24), (-1, 537, 423, 27), (-1, 535, 424, 30), (-1, 532, 425, 33), (-1, 530, 426, 36), (-1, 527, 427, 39), (-1, 524, 428, 43), (-1, 522, 429, 46), (-1, 519, 430, 49), (-1, 517, 431, 52), (-1, 514, 432, 55), (-1, 512, 433, 58), (-1, 509, 434, 61), (-1, 507, 435, 64), (-1, 505, 436, 67), (-1, 506, 437, 66), (-1, 508, 438, 65), (-1, 493, 439, 2), (-1, 510, 439, 63), (-1, 491, 440, 6), (-1, 512, 440, 62), (-1, 489, 441, 10), (-1, 514, 441, 60), (-1, 487, 442, 14), (-1, 516, 442, 59), (-1, 485, 443, 17), (-1, 518, 443, 59), (-1, 483, 444, 21), (-1, 520, 444, 59), (-1, 481, 445, 25), (-1, 519, 445, 62), (-1, 479, 446, 29), (-1, 519, 446, 64), (-1, 477, 447, 32), (-1, 518, 447, 67), (-1, 474, 448, 37), (-1, 517, 448, 70), (-1, 472, 449, 41), (-1, 516, 449, 73), (-1, 469, 450, 46), (-1, 516, 450, 75), (-1, 467, 451, 126), (-1, 464, 452, 131), (-1, 461, 453, 135), (-1, 459, 454, 139), (-1, 456, 455, 144), (-1, 454, 456, 148), (-1, 452, 457, 152), (-1, 450, 458, 156), (-1, 449, 459, 159), (-1, 447, 460, 163), (-1, 446, 461, 166), (-1, 444, 462, 170), (-1, 443, 463, 172), (-1, 441, 464, 160), (-1, 440, 465, 134), (-1, 438, 466, 108), (-1, 436, 467, 71), (-1, 435, 468, 68), (-1, 433, 469, 66), (-1, 432, 470, 63), (-1, 430, 471, 61), (-1, 429, 472, 58), (-1, 427, 473, 55), (-1, 426, 474, 52), (-1, 424, 475, 50), (-1, 423, 476, 47), (-1, 421, 477, 45), (-1, 420, 478, 42), (-1, 418, 479, 40), (-1, 417, 480, 36), (-1, 415, 481, 34), (-1, 414, 482, 31), (-1, 412, 483, 29), (-1, 410, 484, 27), (-1, 409, 485, 24), (-1, 407, 486, 22), (-1, 406, 487, 18), (-1, 404, 488, 16), (-1, 403, 489, 13), (-1, 401, 490, 11), (-1, 400, 491, 8), (-1, 398, 492, 6), (-1, 397, 493, 3)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 422, 'x1': 485, 'y0': 1032, 'y1': 1081, 'score': 1.0, 'id': None, 'points': ['422,1044,442,1056,470,1081,485,1056,472,1038,430,1032'], 'sub_photo_id': 0, 'rles': [(-1, 430, 1032, 4), (-1, 429, 1033, 12), (-1, 429, 1034, 19), (-1, 428, 1035, 27), (-1, 427, 1036, 35), (-1, 427, 1037, 42), (-1, 426, 1038, 47), (-1, 425, 1039, 49), (-1, 425, 1040, 49), (-1, 424, 1041, 51), (-1, 423, 1042, 53), (-1, 423, 1043, 54), (-1, 422, 1044, 55), (-1, 423, 1045, 55), (-1, 425, 1046, 54), (-1, 427, 1047, 52), (-1, 428, 1048, 52), (-1, 430, 1049, 51), (-1, 432, 1050, 50), (-1, 433, 1051, 49), (-1, 435, 1052, 48), (-1, 437, 1053, 47), (-1, 438, 1054, 47), (-1, 440, 1055, 45), (-1, 442, 1056, 44), (-1, 443, 1057, 42), (-1, 444, 1058, 41), (-1, 445, 1059, 39), (-1, 446, 1060, 38), (-1, 448, 1061, 35), (-1, 449, 1062, 33), (-1, 450, 1063, 32), (-1, 451, 1064, 30), (-1, 452, 1065, 29), (-1, 453, 1066, 27), (-1, 454, 1067, 25), (-1, 455, 1068, 24), (-1, 457, 1069, 21), (-1, 458, 1070, 20), (-1, 459, 1071, 18), (-1, 460, 1072, 16), (-1, 461, 1073, 15), (-1, 462, 1074, 13), (-1, 463, 1075, 12), (-1, 464, 1076, 10), (-1, 465, 1077, 8), (-1, 467, 1078, 6), (-1, 468, 1079, 4), (-1, 469, 1080, 3), (-1, 470, 1081, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1, 'x1': 653, 'y0': 0, 'y1': 312, 'score': 1.0, 'id': None, 'points': ['2,279,23,277,71,283,92,291,103,295,116,312,98,204,116,181,211,130,296,103,406,70,410,76,521,291,536,274,563,234,566,205,572,181,586,156,646,64,653,48,529,12,530,0,1,1'], 'sub_photo_id': 0, 'rles': [(-1, 266, 0, 265), (-1, 1, 1, 530), (-1, 1, 2, 530), (-1, 1, 3, 530), (-1, 1, 4, 530), (-1, 1, 5, 530), (-1, 1, 6, 529), (-1, 1, 7, 529), (-1, 1, 8, 529), (-1, 1, 9, 529), (-1, 1, 10, 529), (-1, 1, 11, 529), (-1, 1, 12, 530), (-1, 1, 13, 534), (-1, 1, 14, 537), (-1, 1, 15, 541), (-1, 1, 16, 544), (-1, 1, 17, 547), (-1, 1, 18, 551), (-1, 1, 19, 554), (-1, 1, 20, 558), (-1, 1, 21, 561), (-1, 1, 22, 565), (-1, 1, 23, 568), (-1, 1, 24, 572), (-1, 1, 25, 575), (-1, 1, 26, 578), (-1, 1, 27, 582), (-1, 1, 28, 585), (-1, 1, 29, 589), (-1, 1, 30, 592), (-1, 1, 31, 596), (-1, 1, 32, 599), (-1, 1, 33, 603), (-1, 1, 34, 606), (-1, 1, 35, 609), (-1, 1, 36, 613), (-1, 1, 37, 616), (-1, 1, 38, 620), (-1, 1, 39, 623), (-1, 1, 40, 627), (-1, 1, 41, 630), (-1, 1, 42, 634), (-1, 1, 43, 637), (-1, 1, 44, 640), (-1, 1, 45, 644), (-1, 1, 46, 647), (-1, 1, 47, 651), (-1, 1, 48, 653), (-1, 1, 49, 653), (-1, 1, 50, 652), (-1, 1, 51, 652), (-1, 1, 52, 651), (-1, 1, 53, 651), (-1, 1, 54, 650), (-1, 1, 55, 650), (-1, 1, 56, 649), (-1, 1, 57, 649), (-1, 1, 58, 649), (-1, 1, 59, 648), (-1, 1, 60, 648), (-1, 1, 61, 647), (-1, 1, 62, 647), (-1, 1, 63, 646), (-1, 1, 64, 646), (-1, 1, 65, 645), (-1, 1, 66, 645), (-1, 1, 67, 644), (-1, 1, 68, 643), (-1, 1, 69, 643), (-1, 1, 70, 642), (-1, 1, 71, 404), (-1, 407, 71, 235), (-1, 1, 72, 401), (-1, 407, 72, 235), (-1, 1, 73, 397), (-1, 408, 73, 233), (-1, 1, 74, 394), (-1, 409, 74, 231), (-1, 1, 75, 391), (-1, 409, 75, 231), (-1, 1, 76, 387), (-1, 410, 76, 229), (-1, 1, 77, 384), (-1, 411, 77, 228), (-1, 1, 78, 381), (-1, 411, 78, 227), (-1, 1, 79, 377), (-1, 412, 79, 225), (-1, 1, 80, 374), (-1, 412, 80, 225), (-1, 1, 81, 371), (-1, 413, 81, 223), (-1, 1, 82, 367), (-1, 413, 82, 222), (-1, 1, 83, 364), (-1, 414, 83, 221), (-1, 1, 84, 361), (-1, 414, 84, 220), (-1, 1, 85, 357), (-1, 415, 85, 218), (-1, 1, 86, 354), (-1, 415, 86, 218), (-1, 1, 87, 351), (-1, 416, 87, 216), (-1, 1, 88, 347), (-1, 416, 88, 215), (-1, 1, 89, 344), (-1, 417, 89, 214), (-1, 1, 90, 341), (-1, 417, 90, 213), (-1, 1, 91, 337), (-1, 418, 91, 211), (-1, 1, 92, 334), (-1, 418, 92, 211), (-1, 1, 93, 331), (-1, 419, 93, 209), (-1, 1, 94, 327), (-1, 419, 94, 208), (-1, 1, 95, 324), (-1, 420, 95, 207), (-1, 1, 96, 321), (-1, 420, 96, 206), (-1, 1, 97, 317), (-1, 421, 97, 204), (-1, 1, 98, 314), (-1, 421, 98, 204), (-1, 1, 99, 311), (-1, 422, 99, 202), (-1, 1, 100, 307), (-1, 422, 100, 202), (-1, 1, 101, 304), (-1, 423, 101, 200), (-1, 1, 102, 301), (-1, 423, 102, 199), (-1, 1, 103, 297), (-1, 424, 103, 198), (-1, 1, 104, 294), (-1, 424, 104, 197), (-1, 1, 105, 291), (-1, 425, 105, 195), (-1, 1, 106, 288), (-1, 425, 106, 195), (-1, 1, 107, 284), (-1, 426, 107, 193), (-1, 1, 108, 281), (-1, 427, 108, 191), (-1, 1, 109, 278), (-1, 427, 109, 191), (-1, 1, 110, 275), (-1, 428, 110, 189), (-1, 1, 111, 272), (-1, 428, 111, 188), (-1, 1, 112, 269), (-1, 429, 112, 187), (-1, 1, 113, 266), (-1, 429, 113, 186), (-1, 1, 114, 262), (-1, 430, 114, 184), (-1, 1, 115, 259), (-1, 430, 115, 184), (-1, 1, 116, 256), (-1, 431, 116, 182), (-1, 1, 117, 253), (-1, 431, 117, 181), (-1, 1, 118, 250), (-1, 432, 118, 180), (-1, 1, 119, 247), (-1, 432, 119, 179), (-1, 1, 120, 244), (-1, 433, 120, 177), (-1, 1, 121, 240), (-1, 433, 121, 177), (-1, 1, 122, 237), (-1, 434, 122, 175), (-1, 1, 123, 234), (-1, 434, 123, 175), (-1, 1, 124, 231), (-1, 435, 124, 173), (-1, 1, 125, 228), (-1, 435, 125, 172), (-1, 1, 126, 225), (-1, 436, 126, 171), (-1, 1, 127, 222), (-1, 436, 127, 170), (-1, 1, 128, 218), (-1, 437, 128, 168), (-1, 1, 129, 215), (-1, 437, 129, 168), (-1, 1, 130, 212), (-1, 438, 130, 166), (-1, 1, 131, 210), (-1, 438, 131, 165), (-1, 1, 132, 208), (-1, 439, 132, 164), (-1, 1, 133, 206), (-1, 439, 133, 163), (-1, 1, 134, 204), (-1, 440, 134, 161), (-1, 1, 135, 202), (-1, 440, 135, 161), (-1, 1, 136, 200), (-1, 441, 136, 159), (-1, 1, 137, 198), (-1, 441, 137, 158), (-1, 1, 138, 197), (-1, 442, 138, 157), (-1, 1, 139, 195), (-1, 443, 139, 155), (-1, 1, 140, 193), (-1, 443, 140, 154), (-1, 2, 141, 190), (-1, 444, 141, 153), (-1, 2, 142, 188), (-1, 444, 142, 152), (-1, 2, 143, 186), (-1, 445, 143, 150), (-1, 2, 144, 184), (-1, 445, 144, 150), (-1, 2, 145, 182), (-1, 446, 145, 148), (-1, 2, 146, 181), (-1, 446, 146, 148), (-1, 2, 147, 179), (-1, 447, 147, 146), (-1, 2, 148, 177), (-1, 447, 148, 145), (-1, 2, 149, 175), (-1, 448, 149, 144), (-1, 2, 150, 173), (-1, 448, 150, 143), (-1, 2, 151, 171), (-1, 449, 151, 141), (-1, 2, 152, 169), (-1, 449, 152, 141), (-1, 2, 153, 168), (-1, 450, 153, 139), (-1, 2, 154, 166), (-1, 450, 154, 138), (-1, 2, 155, 164), (-1, 451, 155, 137), (-1, 2, 156, 162), (-1, 451, 156, 136), (-1, 2, 157, 160), (-1, 452, 157, 134), (-1, 2, 158, 158), (-1, 452, 158, 134), (-1, 2, 159, 156), (-1, 453, 159, 132), (-1, 2, 160, 155), (-1, 453, 160, 132), (-1, 2, 161, 153), (-1, 454, 161, 130), (-1, 2, 162, 151), (-1, 454, 162, 130), (-1, 2, 163, 149), (-1, 455, 163, 128), (-1, 2, 164, 147), (-1, 455, 164, 128), (-1, 2, 165, 145), (-1, 456, 165, 126), (-1, 2, 166, 143), (-1, 456, 166, 125), (-1, 2, 167, 142), (-1, 457, 167, 124), (-1, 2, 168, 140), (-1, 457, 168, 123), (-1, 2, 169, 138), (-1, 458, 169, 122), (-1, 2, 170, 136), (-1, 459, 170, 120), (-1, 2, 171, 134), (-1, 459, 171, 120), (-1, 2, 172, 132), (-1, 460, 172, 118), (-1, 2, 173, 130), (-1, 460, 173, 117), (-1, 2, 174, 128), (-1, 461, 174, 116), (-1, 2, 175, 127), (-1, 461, 175, 115), (-1, 2, 176, 125), (-1, 462, 176, 114), (-1, 2, 177, 123), (-1, 462, 177, 113), (-1, 2, 178, 121), (-1, 463, 178, 112), (-1, 2, 179, 119), (-1, 463, 179, 111), (-1, 2, 180, 117), (-1, 464, 180, 110), (-1, 2, 181, 115), (-1, 464, 181, 109), (-1, 2, 182, 114), (-1, 465, 182, 108), (-1, 2, 183, 113), (-1, 465, 183, 107), (-1, 2, 184, 113), (-1, 466, 184, 106), (-1, 2, 185, 112), (-1, 466, 185, 106), (-1, 2, 186, 111), (-1, 467, 186, 105), (-1, 2, 187, 110), (-1, 467, 187, 104), (-1, 2, 188, 110), (-1, 468, 188, 103), (-1, 2, 189, 109), (-1, 468, 189, 103), (-1, 2, 190, 108), (-1, 469, 190, 102), (-1, 2, 191, 107), (-1, 469, 191, 101), (-1, 2, 192, 106), (-1, 470, 192, 100), (-1, 2, 193, 106), (-1, 470, 193, 100), (-1, 2, 194, 105), (-1, 471, 194, 99), (-1, 2, 195, 104), (-1, 471, 195, 98), (-1, 2, 196, 103), (-1, 472, 196, 97), (-1, 2, 197, 102), (-1, 472, 197, 97), (-1, 2, 198, 102), (-1, 473, 198, 96), (-1, 2, 199, 101), (-1, 474, 199, 94), (-1, 2, 200, 100), (-1, 474, 200, 94), (-1, 2, 201, 99), (-1, 475, 201, 93), (-1, 2, 202, 99), (-1, 475, 202, 93), (-1, 2, 203, 98), (-1, 476, 203, 91), (-1, 2, 204, 97), (-1, 476, 204, 91), (-1, 2, 205, 97), (-1, 477, 205, 90), (-1, 2, 206, 97), (-1, 477, 206, 90), (-1, 2, 207, 97), (-1, 478, 207, 89), (-1, 2, 208, 98), (-1, 478, 208, 89), (-1, 2, 209, 98), (-1, 479, 209, 88), (-1, 2, 210, 98), (-1, 479, 210, 87), (-1, 2, 211, 98), (-1, 480, 211, 86), (-1, 2, 212, 98), (-1, 480, 212, 86), (-1, 2, 213, 98), (-1, 481, 213, 85), (-1, 2, 214, 99), (-1, 481, 214, 85), (-1, 2, 215, 99), (-1, 482, 215, 84), (-1, 2, 216, 99), (-1, 482, 216, 84), (-1, 2, 217, 99), (-1, 483, 217, 83), (-1, 2, 218, 99), (-1, 483, 218, 83), (-1, 2, 219, 99), (-1, 484, 219, 82), (-1, 2, 220, 100), (-1, 484, 220, 81), (-1, 2, 221, 100), (-1, 485, 221, 80), (-1, 2, 222, 100), (-1, 485, 222, 80), (-1, 2, 223, 100), (-1, 486, 223, 79), (-1, 2, 224, 100), (-1, 486, 224, 79), (-1, 2, 225, 100), (-1, 487, 225, 78), (-1, 2, 226, 101), (-1, 487, 226, 78), (-1, 2, 227, 101), (-1, 488, 227, 77), (-1, 2, 228, 101), (-1, 488, 228, 77), (-1, 2, 229, 101), (-1, 489, 229, 76), (-1, 2, 230, 101), (-1, 490, 230, 74), (-1, 2, 231, 101), (-1, 490, 231, 74), (-1, 2, 232, 102), (-1, 491, 232, 73), (-1, 2, 233, 102), (-1, 491, 233, 73), (-1, 2, 234, 102), (-1, 492, 234, 72), (-1, 2, 235, 102), (-1, 492, 235, 71), (-1, 2, 236, 102), (-1, 493, 236, 70), (-1, 2, 237, 102), (-1, 493, 237, 69), (-1, 2, 238, 103), (-1, 494, 238, 67), (-1, 2, 239, 103), (-1, 494, 239, 67), (-1, 2, 240, 103), (-1, 495, 240, 65), (-1, 2, 241, 103), (-1, 495, 241, 64), (-1, 2, 242, 103), (-1, 496, 242, 63), (-1, 2, 243, 103), (-1, 496, 243, 62), (-1, 2, 244, 104), (-1, 497, 244, 60), (-1, 2, 245, 104), (-1, 497, 245, 60), (-1, 2, 246, 104), (-1, 498, 246, 58), (-1, 2, 247, 104), (-1, 498, 247, 57), (-1, 2, 248, 104), (-1, 499, 248, 56), (-1, 2, 249, 104), (-1, 499, 249, 55), (-1, 2, 250, 105), (-1, 500, 250, 53), (-1, 2, 251, 105), (-1, 500, 251, 53), (-1, 2, 252, 105), (-1, 501, 252, 51), (-1, 2, 253, 105), (-1, 501, 253, 50), (-1, 2, 254, 105), (-1, 502, 254, 48), (-1, 2, 255, 105), (-1, 502, 255, 48), (-1, 2, 256, 106), (-1, 503, 256, 46), (-1, 2, 257, 106), (-1, 503, 257, 45), (-1, 2, 258, 106), (-1, 504, 258, 44), (-1, 2, 259, 106), (-1, 504, 259, 43), (-1, 2, 260, 106), (-1, 505, 260, 41), (-1, 2, 261, 106), (-1, 506, 261, 40), (-1, 2, 262, 107), (-1, 506, 262, 39), (-1, 2, 263, 107), (-1, 507, 263, 37), (-1, 2, 264, 107), (-1, 507, 264, 37), (-1, 2, 265, 107), (-1, 508, 265, 35), (-1, 2, 266, 107), (-1, 508, 266, 34), (-1, 2, 267, 107), (-1, 509, 267, 33), (-1, 2, 268, 108), (-1, 509, 268, 32), (-1, 2, 269, 108), (-1, 510, 269, 30), (-1, 2, 270, 108), (-1, 510, 270, 30), (-1, 2, 271, 108), (-1, 511, 271, 28), (-1, 2, 272, 108), (-1, 511, 272, 27), (-1, 2, 273, 108), (-1, 512, 273, 26), (-1, 2, 274, 109), (-1, 512, 274, 25), (-1, 2, 275, 109), (-1, 513, 275, 23), (-1, 2, 276, 109), (-1, 513, 276, 22), (-1, 2, 277, 109), (-1, 514, 277, 20), (-1, 2, 278, 16), (-1, 28, 278, 83), (-1, 514, 278, 19), (-1, 2, 279, 6), (-1, 36, 279, 75), (-1, 515, 279, 18), (-1, 44, 280, 68), (-1, 515, 280, 17), (-1, 52, 281, 60), (-1, 516, 281, 15), (-1, 60, 282, 52), (-1, 516, 282, 14), (-1, 68, 283, 44), (-1, 517, 283, 12), (-1, 73, 284, 39), (-1, 517, 284, 11), (-1, 75, 285, 37), (-1, 518, 285, 9), (-1, 78, 286, 35), (-1, 518, 286, 8), (-1, 81, 287, 32), (-1, 519, 287, 7), (-1, 83, 288, 30), (-1, 519, 288, 6), (-1, 86, 289, 27), (-1, 520, 289, 4), (-1, 89, 290, 24), (-1, 520, 290, 3), (-1, 91, 291, 22), (-1, 521, 291, 1), (-1, 94, 292, 20), (-1, 97, 293, 17), (-1, 99, 294, 15), (-1, 102, 295, 12), (-1, 104, 296, 10), (-1, 105, 297, 9), (-1, 105, 298, 10), (-1, 106, 299, 9), (-1, 107, 300, 8), (-1, 108, 301, 7), (-1, 108, 302, 7), (-1, 109, 303, 6), (-1, 110, 304, 6), (-1, 111, 305, 5), (-1, 111, 306, 5), (-1, 112, 307, 4), (-1, 113, 308, 3), (-1, 114, 309, 2), (-1, 114, 310, 3), (-1, 115, 311, 2), (-1, 116, 312, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 970, 'x1': 1102, 'y0': 1341, 'y1': 1410, 'score': 1.0, 'id': None, 'points': ['970,1384,970,1396,985,1398,1001,1404,1022,1405,1033,1408,1040,1410,1073,1381,1093,1360,1102,1348,1070,1341,1040,1359,1022,1363,1001,1377,989,1380'], 'sub_photo_id': 0, 'rles': [(-1, 1070, 1341, 3), (-1, 1068, 1342, 9), (-1, 1066, 1343, 16), (-1, 1065, 1344, 22), (-1, 1063, 1345, 28), (-1, 1061, 1346, 35), (-1, 1060, 1347, 40), (-1, 1058, 1348, 45), (-1, 1056, 1349, 46), (-1, 1055, 1350, 46), (-1, 1053, 1351, 48), (-1, 1051, 1352, 49), (-1, 1050, 1353, 49), (-1, 1048, 1354, 50), (-1, 1046, 1355, 52), (-1, 1045, 1356, 52), (-1, 1043, 1357, 53), (-1, 1041, 1358, 54), (-1, 1038, 1359, 57), (-1, 1034, 1360, 60), (-1, 1029, 1361, 64), (-1, 1025, 1362, 67), (-1, 1022, 1363, 69), (-1, 1020, 1364, 70), (-1, 1019, 1365, 70), (-1, 1017, 1366, 71), (-1, 1016, 1367, 71), (-1, 1014, 1368, 72), (-1, 1013, 1369, 72), (-1, 1011, 1370, 73), (-1, 1010, 1371, 74), (-1, 1008, 1372, 75), (-1, 1007, 1373, 75), (-1, 1005, 1374, 76), (-1, 1004, 1375, 76), (-1, 1002, 1376, 77), (-1, 1000, 1377, 78), (-1, 996, 1378, 81), (-1, 992, 1379, 84), (-1, 987, 1380, 88), (-1, 982, 1381, 92), (-1, 978, 1382, 95), (-1, 973, 1383, 99), (-1, 970, 1384, 101), (-1, 970, 1385, 100), (-1, 970, 1386, 98), (-1, 970, 1387, 97), (-1, 970, 1388, 96), (-1, 970, 1389, 95), (-1, 970, 1390, 94), (-1, 970, 1391, 93), (-1, 970, 1392, 92), (-1, 970, 1393, 90), (-1, 970, 1394, 89), (-1, 970, 1395, 88), (-1, 970, 1396, 87), (-1, 974, 1397, 82), (-1, 982, 1398, 73), (-1, 987, 1399, 67), (-1, 990, 1400, 62), (-1, 992, 1401, 59), (-1, 995, 1402, 55), (-1, 998, 1403, 51), (-1, 1000, 1404, 48), (-1, 1012, 1405, 35), (-1, 1024, 1406, 22), (-1, 1028, 1407, 16), (-1, 1032, 1408, 11), (-1, 1035, 1409, 7), (-1, 1039, 1410, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1151, 'x1': 1183, 'y0': 1281, 'y1': 1326, 'score': 1.0, 'id': None, 'points': ['1151,1281,1166,1326,1183,1300,1163,1288'], 'sub_photo_id': 0, 'rles': [(-1, 1151, 1281, 1), (-1, 1151, 1282, 3), (-1, 1152, 1283, 4), (-1, 1152, 1284, 6), (-1, 1152, 1285, 7), (-1, 1153, 1286, 8), (-1, 1153, 1287, 10), (-1, 1153, 1288, 11), (-1, 1154, 1289, 12), (-1, 1154, 1290, 14), (-1, 1154, 1291, 15), (-1, 1155, 1292, 16), (-1, 1155, 1293, 18), (-1, 1155, 1294, 19), (-1, 1156, 1295, 20), (-1, 1156, 1296, 22), (-1, 1156, 1297, 23), (-1, 1157, 1298, 24), (-1, 1157, 1299, 26), (-1, 1157, 1300, 27), (-1, 1158, 1301, 25), (-1, 1158, 1302, 25), (-1, 1158, 1303, 24), (-1, 1159, 1304, 22), (-1, 1159, 1305, 22), (-1, 1159, 1306, 21), (-1, 1160, 1307, 19), (-1, 1160, 1308, 19), (-1, 1160, 1309, 18), (-1, 1161, 1310, 16), (-1, 1161, 1311, 16), (-1, 1161, 1312, 15), (-1, 1162, 1313, 13), (-1, 1162, 1314, 13), (-1, 1162, 1315, 12), (-1, 1163, 1316, 11), (-1, 1163, 1317, 10), (-1, 1163, 1318, 9), (-1, 1164, 1319, 8), (-1, 1164, 1320, 7), (-1, 1164, 1321, 6), (-1, 1165, 1322, 5), (-1, 1165, 1323, 4), (-1, 1165, 1324, 3), (-1, 1166, 1325, 2), (-1, 1166, 1326, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 590, 'x1': 1156, 'y0': 870, 'y1': 1438, 'score': 1.0, 'id': None, 'points': ['590,1438,751,1440,752,1380,764,1314,770,1300,775,1288,790,1278,778,1251,740,1230,845,1017,973,1075,1030,1033,1042,1050,1087,1123,1111,945,1118,936,1132,931,1156,927,1136,901,1021,870,1012,916,1010,933,1007,948,1003,954,971,973,959,981,824,978,820,1002,814,1006,809,1017,802,1054,794,1066,782,1072,775,1083,769,1086,638,1057,638,1065,727,1089,733,1107,734,1126,734,1141,731,1153,733,1168,728,1182,715,1194,710,1204,701,1219,697,1225,703,1234,715,1240,736,1263,748,1269,724,1285,674,1336,641,1372'], 'sub_photo_id': 0, 'rles': [(-1, 1021, 870, 2), (-1, 1021, 871, 6), (-1, 1021, 872, 10), (-1, 1020, 873, 14), (-1, 1020, 874, 18), (-1, 1020, 875, 22), (-1, 1020, 876, 26), (-1, 1020, 877, 29), (-1, 1019, 878, 34), (-1, 1019, 879, 38), (-1, 1019, 880, 41), (-1, 1019, 881, 45), (-1, 1019, 882, 49), (-1, 1018, 883, 54), (-1, 1018, 884, 57), (-1, 1018, 885, 61), (-1, 1018, 886, 65), (-1, 1018, 887, 68), (-1, 1017, 888, 73), (-1, 1017, 889, 77), (-1, 1017, 890, 81), (-1, 1017, 891, 84), (-1, 1017, 892, 88), (-1, 1016, 893, 93), (-1, 1016, 894, 96), (-1, 1016, 895, 100), (-1, 1016, 896, 104), (-1, 1016, 897, 108), (-1, 1016, 898, 111), (-1, 1015, 899, 116), (-1, 1015, 900, 120), (-1, 1015, 901, 122), (-1, 1015, 902, 123), (-1, 1015, 903, 124), (-1, 1014, 904, 125), (-1, 1014, 905, 126), (-1, 1014, 906, 127), (-1, 1014, 907, 128), (-1, 1014, 908, 128), (-1, 1013, 909, 130), (-1, 1013, 910, 131), (-1, 1013, 911, 132), (-1, 1013, 912, 132), (-1, 1013, 913, 133), (-1, 1012, 914, 135), (-1, 1012, 915, 136), (-1, 1012, 916, 137), (-1, 1012, 917, 137), (-1, 1012, 918, 138), (-1, 1012, 919, 139), (-1, 1012, 920, 140), (-1, 1011, 921, 141), (-1, 1011, 922, 142), (-1, 1011, 923, 143), (-1, 1011, 924, 144), (-1, 1011, 925, 144), (-1, 1011, 926, 145), (-1, 1011, 927, 146), (-1, 1011, 928, 143), (-1, 1010, 929, 138), (-1, 1010, 930, 132), (-1, 1010, 931, 126), (-1, 1010, 932, 121), (-1, 1010, 933, 118), (-1, 1010, 934, 116), (-1, 1010, 935, 113), (-1, 1009, 936, 111), (-1, 1009, 937, 109), (-1, 1009, 938, 108), (-1, 1009, 939, 108), (-1, 1009, 940, 107), (-1, 1008, 941, 107), (-1, 1008, 942, 106), (-1, 1008, 943, 106), (-1, 1008, 944, 105), (-1, 1008, 945, 104), (-1, 1007, 946, 105), (-1, 1007, 947, 105), (-1, 1007, 948, 105), (-1, 1006, 949, 105), (-1, 1006, 950, 105), (-1, 1005, 951, 106), (-1, 1004, 952, 107), (-1, 1004, 953, 107), (-1, 1003, 954, 108), (-1, 1001, 955, 110), (-1, 999, 956, 112), (-1, 998, 957, 112), (-1, 996, 958, 114), (-1, 994, 959, 116), (-1, 993, 960, 117), (-1, 991, 961, 119), (-1, 989, 962, 121), (-1, 988, 963, 122), (-1, 986, 964, 123), (-1, 984, 965, 125), (-1, 982, 966, 127), (-1, 981, 967, 128), (-1, 979, 968, 130), (-1, 977, 969, 132), (-1, 976, 970, 133), (-1, 974, 971, 134), (-1, 972, 972, 136), (-1, 971, 973, 137), (-1, 969, 974, 139), (-1, 968, 975, 140), (-1, 966, 976, 142), (-1, 965, 977, 143), (-1, 824, 978, 23), (-1, 963, 978, 145), (-1, 824, 979, 68), (-1, 962, 979, 145), (-1, 824, 980, 113), (-1, 960, 980, 147), (-1, 823, 981, 284), (-1, 823, 982, 284), (-1, 823, 983, 284), (-1, 823, 984, 284), (-1, 823, 985, 284), (-1, 823, 986, 283), (-1, 822, 987, 284), (-1, 822, 988, 284), (-1, 822, 989, 284), (-1, 822, 990, 284), (-1, 822, 991, 284), (-1, 822, 992, 284), (-1, 821, 993, 285), (-1, 821, 994, 284), (-1, 821, 995, 284), (-1, 821, 996, 284), (-1, 821, 997, 284), (-1, 821, 998, 284), (-1, 820, 999, 285), (-1, 820, 1000, 285), (-1, 820, 1001, 284), (-1, 820, 1002, 284), (-1, 818, 1003, 286), (-1, 817, 1004, 287), (-1, 815, 1005, 289), (-1, 814, 1006, 290), (-1, 814, 1007, 290), (-1, 813, 1008, 291), (-1, 813, 1009, 290), (-1, 812, 1010, 291), (-1, 812, 1011, 291), (-1, 811, 1012, 292), (-1, 811, 1013, 292), (-1, 810, 1014, 293), (-1, 810, 1015, 293), (-1, 809, 1016, 293), (-1, 809, 1017, 293), (-1, 809, 1018, 37), (-1, 847, 1018, 255), (-1, 809, 1019, 36), (-1, 849, 1019, 253), (-1, 808, 1020, 37), (-1, 851, 1020, 251), (-1, 808, 1021, 36), (-1, 853, 1021, 249), (-1, 808, 1022, 36), (-1, 855, 1022, 247), (-1, 808, 1023, 35), (-1, 858, 1023, 243), (-1, 808, 1024, 35), (-1, 860, 1024, 241), (-1, 807, 1025, 35), (-1, 862, 1025, 239), (-1, 807, 1026, 35), (-1, 864, 1026, 237), (-1, 807, 1027, 34), (-1, 866, 1027, 235), (-1, 807, 1028, 34), (-1, 869, 1028, 232), (-1, 807, 1029, 33), (-1, 871, 1029, 230), (-1, 807, 1030, 33), (-1, 873, 1030, 228), (-1, 806, 1031, 33), (-1, 875, 1031, 225), (-1, 806, 1032, 33), (-1, 878, 1032, 222), (-1, 806, 1033, 32), (-1, 880, 1033, 220), (-1, 806, 1034, 32), (-1, 882, 1034, 148), (-1, 1031, 1034, 69), (-1, 806, 1035, 31), (-1, 884, 1035, 144), (-1, 1031, 1035, 69), (-1, 805, 1036, 32), (-1, 886, 1036, 141), (-1, 1032, 1036, 68), (-1, 805, 1037, 31), (-1, 889, 1037, 137), (-1, 1033, 1037, 67), (-1, 805, 1038, 31), (-1, 891, 1038, 133), (-1, 1034, 1038, 65), (-1, 805, 1039, 30), (-1, 893, 1039, 130), (-1, 1034, 1039, 65), (-1, 805, 1040, 30), (-1, 895, 1040, 127), (-1, 1035, 1040, 64), (-1, 804, 1041, 30), (-1, 897, 1041, 123), (-1, 1036, 1041, 63), (-1, 804, 1042, 30), (-1, 900, 1042, 119), (-1, 1036, 1042, 63), (-1, 804, 1043, 29), (-1, 902, 1043, 116), (-1, 1037, 1043, 62), (-1, 804, 1044, 29), (-1, 904, 1044, 112), (-1, 1038, 1044, 61), (-1, 804, 1045, 28), (-1, 906, 1045, 109), (-1, 1038, 1045, 61), (-1, 804, 1046, 28), (-1, 908, 1046, 106), (-1, 1039, 1046, 59), (-1, 803, 1047, 28), (-1, 911, 1047, 101), (-1, 1040, 1047, 58), (-1, 803, 1048, 28), (-1, 913, 1048, 98), (-1, 1041, 1048, 57), (-1, 803, 1049, 27), (-1, 915, 1049, 94), (-1, 1041, 1049, 57), (-1, 803, 1050, 27), (-1, 917, 1050, 91), (-1, 1042, 1050, 56), (-1, 803, 1051, 26), (-1, 919, 1051, 88), (-1, 1043, 1051, 55), (-1, 802, 1052, 27), (-1, 922, 1052, 83), (-1, 1043, 1052, 55), (-1, 802, 1053, 26), (-1, 924, 1053, 80), (-1, 1044, 1053, 53), (-1, 802, 1054, 26), (-1, 926, 1054, 77), (-1, 1044, 1054, 53), (-1, 801, 1055, 26), (-1, 928, 1055, 73), (-1, 1045, 1055, 52), (-1, 801, 1056, 26), (-1, 930, 1056, 70), (-1, 1046, 1056, 51), (-1, 638, 1057, 3), (-1, 800, 1057, 26), (-1, 933, 1057, 66), (-1, 1046, 1057, 51), (-1, 638, 1058, 7), (-1, 799, 1058, 27), (-1, 935, 1058, 62), (-1, 1047, 1058, 50), (-1, 638, 1059, 12), (-1, 799, 1059, 26), (-1, 937, 1059, 59), (-1, 1048, 1059, 49), (-1, 638, 1060, 16), (-1, 798, 1060, 27), (-1, 939, 1060, 56), (-1, 1048, 1060, 48), (-1, 638, 1061, 21), (-1, 797, 1061, 27), (-1, 942, 1061, 51), (-1, 1049, 1061, 47), (-1, 638, 1062, 25), (-1, 797, 1062, 27), (-1, 944, 1062, 48), (-1, 1049, 1062, 47), (-1, 638, 1063, 30), (-1, 796, 1063, 27), (-1, 946, 1063, 44), (-1, 1050, 1063, 46), (-1, 638, 1064, 34), (-1, 795, 1064, 28), (-1, 948, 1064, 41), (-1, 1051, 1064, 45), (-1, 638, 1065, 39), (-1, 795, 1065, 27), (-1, 950, 1065, 38), (-1, 1051, 1065, 45), (-1, 640, 1066, 41), (-1, 794, 1066, 28), (-1, 953, 1066, 33), (-1, 1052, 1066, 44), (-1, 644, 1067, 42), (-1, 792, 1067, 29), (-1, 955, 1067, 30), (-1, 1052, 1067, 44), (-1, 648, 1068, 42), (-1, 790, 1068, 31), (-1, 957, 1068, 27), (-1, 1053, 1068, 42), (-1, 651, 1069, 44), (-1, 788, 1069, 32), (-1, 959, 1069, 23), (-1, 1054, 1069, 41), (-1, 655, 1070, 44), (-1, 786, 1070, 34), (-1, 961, 1070, 20), (-1, 1054, 1070, 41), (-1, 659, 1071, 45), (-1, 784, 1071, 35), (-1, 964, 1071, 16), (-1, 1055, 1071, 40), (-1, 663, 1072, 46), (-1, 782, 1072, 37), (-1, 966, 1072, 12), (-1, 1056, 1072, 39), (-1, 666, 1073, 47), (-1, 781, 1073, 37), (-1, 968, 1073, 9), (-1, 1056, 1073, 39), (-1, 670, 1074, 48), (-1, 781, 1074, 37), (-1, 970, 1074, 6), (-1, 1057, 1074, 38), (-1, 674, 1075, 48), (-1, 780, 1075, 37), (-1, 972, 1075, 2), (-1, 1057, 1075, 37), (-1, 677, 1076, 50), (-1, 779, 1076, 38), (-1, 1058, 1076, 36), (-1, 681, 1077, 50), (-1, 779, 1077, 37), (-1, 1059, 1077, 35), (-1, 685, 1078, 51), (-1, 778, 1078, 38), (-1, 1059, 1078, 35), (-1, 689, 1079, 51), (-1, 778, 1079, 37), (-1, 1060, 1079, 34), (-1, 692, 1080, 53), (-1, 777, 1080, 38), (-1, 1060, 1080, 34), (-1, 696, 1081, 53), (-1, 776, 1081, 38), (-1, 1061, 1081, 33), (-1, 700, 1082, 54), (-1, 776, 1082, 38), (-1, 1062, 1082, 32), (-1, 703, 1083, 55), (-1, 775, 1083, 38), (-1, 1062, 1083, 31), (-1, 707, 1084, 56), (-1, 773, 1084, 40), (-1, 1063, 1084, 30), (-1, 711, 1085, 56), (-1, 771, 1085, 41), (-1, 1064, 1085, 29), (-1, 715, 1086, 97), (-1, 1064, 1086, 29), (-1, 718, 1087, 93), (-1, 1065, 1087, 28), (-1, 722, 1088, 89), (-1, 1065, 1088, 28), (-1, 726, 1089, 85), (-1, 1066, 1089, 27), (-1, 727, 1090, 83), (-1, 1067, 1090, 25), (-1, 728, 1091, 82), (-1, 1067, 1091, 25), (-1, 728, 1092, 81), (-1, 1068, 1092, 24), (-1, 728, 1093, 81), (-1, 1069, 1093, 23), (-1, 729, 1094, 79), (-1, 1069, 1094, 23), (-1, 729, 1095, 79), (-1, 1070, 1095, 22), (-1, 729, 1096, 78), (-1, 1070, 1096, 22), (-1, 730, 1097, 77), (-1, 1071, 1097, 21), (-1, 730, 1098, 76), (-1, 1072, 1098, 19), (-1, 730, 1099, 76), (-1, 1072, 1099, 19), (-1, 731, 1100, 74), (-1, 1073, 1100, 18), (-1, 731, 1101, 74), (-1, 1073, 1101, 18), (-1, 731, 1102, 73), (-1, 1074, 1102, 17), (-1, 732, 1103, 72), (-1, 1075, 1103, 16), (-1, 732, 1104, 71), (-1, 1075, 1104, 16), (-1, 732, 1105, 71), (-1, 1076, 1105, 14), (-1, 733, 1106, 69), (-1, 1077, 1106, 13), (-1, 733, 1107, 69), (-1, 1077, 1107, 13), (-1, 733, 1108, 68), (-1, 1078, 1108, 12), (-1, 733, 1109, 68), (-1, 1078, 1109, 12), (-1, 733, 1110, 67), (-1, 1079, 1110, 11), (-1, 733, 1111, 67), (-1, 1080, 1111, 10), (-1, 733, 1112, 66), (-1, 1080, 1112, 9), (-1, 733, 1113, 66), (-1, 1081, 1113, 8), (-1, 733, 1114, 65), (-1, 1081, 1114, 8), (-1, 733, 1115, 65), (-1, 1082, 1115, 7), (-1, 733, 1116, 64), (-1, 1083, 1116, 6), (-1, 734, 1117, 63), (-1, 1083, 1117, 6), (-1, 734, 1118, 62), (-1, 1084, 1118, 5), (-1, 734, 1119, 62), (-1, 1085, 1119, 4), (-1, 734, 1120, 61), (-1, 1085, 1120, 3), (-1, 734, 1121, 61), (-1, 1086, 1121, 2), (-1, 734, 1122, 60), (-1, 1086, 1122, 2), (-1, 734, 1123, 60), (-1, 1087, 1123, 1), (-1, 734, 1124, 59), (-1, 734, 1125, 59), (-1, 734, 1126, 58), (-1, 734, 1127, 58), (-1, 734, 1128, 57), (-1, 734, 1129, 57), (-1, 734, 1130, 56), (-1, 734, 1131, 56), (-1, 734, 1132, 55), (-1, 734, 1133, 55), (-1, 734, 1134, 54), (-1, 734, 1135, 54), (-1, 734, 1136, 53), (-1, 734, 1137, 53), (-1, 734, 1138, 52), (-1, 734, 1139, 52), (-1, 734, 1140, 51), (-1, 734, 1141, 51), (-1, 734, 1142, 50), (-1, 733, 1143, 51), (-1, 733, 1144, 50), (-1, 733, 1145, 50), (-1, 733, 1146, 49), (-1, 732, 1147, 50), (-1, 732, 1148, 49), (-1, 732, 1149, 49), (-1, 732, 1150, 48), (-1, 731, 1151, 49), (-1, 731, 1152, 48), (-1, 731, 1153, 48), (-1, 731, 1154, 47), (-1, 731, 1155, 47), (-1, 731, 1156, 46), (-1, 732, 1157, 45), (-1, 732, 1158, 44), (-1, 732, 1159, 44), (-1, 732, 1160, 44), (-1, 732, 1161, 43), (-1, 732, 1162, 43), (-1, 732, 1163, 42), (-1, 732, 1164, 42), (-1, 733, 1165, 40), (-1, 733, 1166, 40), (-1, 733, 1167, 39), (-1, 733, 1168, 39), (-1, 733, 1169, 38), (-1, 732, 1170, 39), (-1, 732, 1171, 38), (-1, 732, 1172, 38), (-1, 731, 1173, 38), (-1, 731, 1174, 38), (-1, 730, 1175, 38), (-1, 730, 1176, 38), (-1, 730, 1177, 37), (-1, 729, 1178, 38), (-1, 729, 1179, 37), (-1, 729, 1180, 37), (-1, 728, 1181, 37), (-1, 728, 1182, 37), (-1, 727, 1183, 37), (-1, 726, 1184, 38), (-1, 725, 1185, 38), (-1, 724, 1186, 39), (-1, 723, 1187, 39), (-1, 721, 1188, 41), (-1, 720, 1189, 41), (-1, 719, 1190, 42), (-1, 718, 1191, 42), (-1, 717, 1192, 43), (-1, 716, 1193, 43), (-1, 715, 1194, 44), (-1, 714, 1195, 44), (-1, 714, 1196, 44), (-1, 713, 1197, 44), (-1, 713, 1198, 44), (-1, 712, 1199, 44), (-1, 712, 1200, 44), (-1, 711, 1201, 44), (-1, 711, 1202, 44), (-1, 710, 1203, 44), (-1, 710, 1204, 44), (-1, 709, 1205, 44), (-1, 709, 1206, 44), (-1, 708, 1207, 44), (-1, 708, 1208, 44), (-1, 707, 1209, 44), (-1, 706, 1210, 45), (-1, 706, 1211, 44), (-1, 705, 1212, 45), (-1, 705, 1213, 44), (-1, 704, 1214, 45), (-1, 703, 1215, 45), (-1, 703, 1216, 45), (-1, 702, 1217, 45), (-1, 702, 1218, 45), (-1, 701, 1219, 45), (-1, 700, 1220, 46), (-1, 700, 1221, 45), (-1, 699, 1222, 46), (-1, 698, 1223, 46), (-1, 698, 1224, 46), (-1, 697, 1225, 46), (-1, 698, 1226, 45), (-1, 698, 1227, 44), (-1, 699, 1228, 43), (-1, 700, 1229, 41), (-1, 700, 1230, 41), (-1, 701, 1231, 42), (-1, 702, 1232, 43), (-1, 702, 1233, 45), (-1, 703, 1234, 46), (-1, 705, 1235, 45), (-1, 707, 1236, 45), (-1, 709, 1237, 45), (-1, 711, 1238, 45), (-1, 713, 1239, 45), (-1, 715, 1240, 45), (-1, 716, 1241, 45), (-1, 717, 1242, 46), (-1, 718, 1243, 47), (-1, 719, 1244, 48), (-1, 720, 1245, 49), (-1, 720, 1246, 50), (-1, 721, 1247, 51), (-1, 722, 1248, 52), (-1, 723, 1249, 53), (-1, 724, 1250, 54), (-1, 725, 1251, 54), (-1, 726, 1252, 53), (-1, 727, 1253, 53), (-1, 728, 1254, 52), (-1, 729, 1255, 52), (-1, 730, 1256, 51), (-1, 731, 1257, 51), (-1, 731, 1258, 51), (-1, 732, 1259, 51), (-1, 733, 1260, 50), (-1, 734, 1261, 49), (-1, 735, 1262, 49), (-1, 736, 1263, 48), (-1, 738, 1264, 47), (-1, 740, 1265, 45), (-1, 742, 1266, 44), (-1, 744, 1267, 42), (-1, 746, 1268, 41), (-1, 748, 1269, 39), (-1, 746, 1270, 41), (-1, 745, 1271, 43), (-1, 743, 1272, 45), (-1, 742, 1273, 47), (-1, 740, 1274, 49), (-1, 739, 1275, 51), (-1, 737, 1276, 53), (-1, 736, 1277, 55), (-1, 734, 1278, 57), (-1, 733, 1279, 57), (-1, 731, 1280, 57), (-1, 730, 1281, 57), (-1, 728, 1282, 57), (-1, 727, 1283, 57), (-1, 725, 1284, 57), (-1, 724, 1285, 57), (-1, 723, 1286, 56), (-1, 722, 1287, 56), (-1, 721, 1288, 55), (-1, 720, 1289, 56), (-1, 719, 1290, 56), (-1, 718, 1291, 57), (-1, 717, 1292, 57), (-1, 716, 1293, 58), (-1, 715, 1294, 58), (-1, 714, 1295, 59), (-1, 713, 1296, 60), (-1, 712, 1297, 60), (-1, 711, 1298, 61), (-1, 710, 1299, 61), (-1, 709, 1300, 62), (-1, 708, 1301, 63), (-1, 707, 1302, 63), (-1, 706, 1303, 64), (-1, 705, 1304, 64), (-1, 704, 1305, 65), (-1, 703, 1306, 65), (-1, 702, 1307, 66), (-1, 701, 1308, 67), (-1, 700, 1309, 67), (-1, 699, 1310, 68), (-1, 699, 1311, 67), (-1, 698, 1312, 68), (-1, 697, 1313, 68), (-1, 696, 1314, 69), (-1, 695, 1315, 70), (-1, 694, 1316, 71), (-1, 693, 1317, 71), (-1, 692, 1318, 72), (-1, 691, 1319, 73), (-1, 690, 1320, 74), (-1, 689, 1321, 75), (-1, 688, 1322, 76), (-1, 687, 1323, 76), (-1, 686, 1324, 77), (-1, 685, 1325, 78), (-1, 684, 1326, 79), (-1, 683, 1327, 80), (-1, 682, 1328, 80), (-1, 681, 1329, 81), (-1, 680, 1330, 82), (-1, 679, 1331, 83), (-1, 678, 1332, 84), (-1, 677, 1333, 85), (-1, 676, 1334, 85), (-1, 675, 1335, 86), (-1, 674, 1336, 87), (-1, 673, 1337, 88), (-1, 672, 1338, 89), (-1, 671, 1339, 89), (-1, 670, 1340, 90), (-1, 669, 1341, 91), (-1, 668, 1342, 92), (-1, 668, 1343, 92), (-1, 667, 1344, 93), (-1, 666, 1345, 93), (-1, 665, 1346, 94), (-1, 664, 1347, 95), (-1, 663, 1348, 96), (-1, 662, 1349, 97), (-1, 661, 1350, 97), (-1, 660, 1351, 98), (-1, 659, 1352, 99), (-1, 658, 1353, 100), (-1, 657, 1354, 101), (-1, 657, 1355, 101), (-1, 656, 1356, 101), (-1, 655, 1357, 102), (-1, 654, 1358, 103), (-1, 653, 1359, 104), (-1, 652, 1360, 105), (-1, 651, 1361, 105), (-1, 650, 1362, 106), (-1, 649, 1363, 107), (-1, 648, 1364, 108), (-1, 647, 1365, 109), (-1, 646, 1366, 110), (-1, 646, 1367, 109), (-1, 645, 1368, 110), (-1, 644, 1369, 111), (-1, 643, 1370, 112), (-1, 642, 1371, 113), (-1, 641, 1372, 113), (-1, 640, 1373, 114), (-1, 639, 1374, 115), (-1, 639, 1375, 115), (-1, 638, 1376, 116), (-1, 637, 1377, 117), (-1, 636, 1378, 117), (-1, 636, 1379, 117), (-1, 635, 1380, 118), (-1, 634, 1381, 119), (-1, 633, 1382, 120), (-1, 632, 1383, 121), (-1, 632, 1384, 121), (-1, 631, 1385, 122), (-1, 630, 1386, 123), (-1, 629, 1387, 124), (-1, 629, 1388, 124), (-1, 628, 1389, 125), (-1, 627, 1390, 126), (-1, 626, 1391, 127), (-1, 626, 1392, 127), (-1, 625, 1393, 128), (-1, 624, 1394, 129), (-1, 623, 1395, 130), (-1, 622, 1396, 131), (-1, 622, 1397, 131), (-1, 621, 1398, 132), (-1, 620, 1399, 133), (-1, 619, 1400, 134), (-1, 619, 1401, 134), (-1, 618, 1402, 135), (-1, 617, 1403, 136), (-1, 616, 1404, 137), (-1, 615, 1405, 138), (-1, 615, 1406, 138), (-1, 614, 1407, 139), (-1, 613, 1408, 140), (-1, 612, 1409, 140), (-1, 612, 1410, 140), (-1, 611, 1411, 141), (-1, 610, 1412, 142), (-1, 609, 1413, 143), (-1, 609, 1414, 143), (-1, 608, 1415, 144), (-1, 607, 1416, 145), (-1, 606, 1417, 146), (-1, 605, 1418, 147), (-1, 605, 1419, 147), (-1, 604, 1420, 148), (-1, 603, 1421, 149), (-1, 602, 1422, 150), (-1, 602, 1423, 150), (-1, 601, 1424, 151), (-1, 600, 1425, 152), (-1, 599, 1426, 153), (-1, 598, 1427, 154), (-1, 598, 1428, 154), (-1, 597, 1429, 155), (-1, 596, 1430, 156), (-1, 595, 1431, 157), (-1, 595, 1432, 157), (-1, 594, 1433, 158), (-1, 593, 1434, 159), (-1, 592, 1435, 160), (-1, 592, 1436, 160), (-1, 591, 1437, 161), (-1, 590, 1438, 162)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 2107752385, 'type': 3230, 'x0': 1259, 'x1': 1469, 'y0': 525, 'y1': 766, 'score': 1.0, 'id': None, 'points': ['1259,591,1295,676,1307,708,1373,754,1388,766,1451,732,1462,720,1462,708,1469,684,1469,670,1456,636,1448,604,1433,544,1429,535,1421,531,1408,531,1394,532,1375,538,1364,525'], 'sub_photo_id': 0, 'rles': [(-1, 1364, 525, 1), (-1, 1362, 526, 4), (-1, 1361, 527, 6), (-1, 1359, 528, 9), (-1, 1357, 529, 11), (-1, 1356, 530, 13), (-1, 1354, 531, 16), (-1, 1402, 531, 21), (-1, 1353, 532, 18), (-1, 1393, 532, 32), (-1, 1351, 533, 21), (-1, 1390, 533, 37), (-1, 1349, 534, 24), (-1, 1387, 534, 42), (-1, 1348, 535, 25), (-1, 1383, 535, 47), (-1, 1346, 536, 28), (-1, 1380, 536, 50), (-1, 1345, 537, 30), (-1, 1377, 537, 54), (-1, 1343, 538, 88), (-1, 1341, 539, 91), (-1, 1340, 540, 92), (-1, 1338, 541, 95), (-1, 1337, 542, 96), (-1, 1335, 543, 99), (-1, 1333, 544, 101), (-1, 1332, 545, 102), (-1, 1330, 546, 104), (-1, 1329, 547, 106), (-1, 1327, 548, 108), (-1, 1326, 549, 109), (-1, 1324, 550, 111), (-1, 1322, 551, 114), (-1, 1321, 552, 115), (-1, 1319, 553, 117), (-1, 1318, 554, 118), (-1, 1316, 555, 121), (-1, 1314, 556, 123), (-1, 1313, 557, 124), (-1, 1311, 558, 126), (-1, 1310, 559, 128), (-1, 1308, 560, 130), (-1, 1306, 561, 132), (-1, 1305, 562, 133), (-1, 1303, 563, 136), (-1, 1302, 564, 137), (-1, 1300, 565, 139), (-1, 1298, 566, 141), (-1, 1297, 567, 143), (-1, 1295, 568, 145), (-1, 1294, 569, 146), (-1, 1292, 570, 148), (-1, 1291, 571, 150), (-1, 1289, 572, 152), (-1, 1287, 573, 154), (-1, 1286, 574, 155), (-1, 1284, 575, 158), (-1, 1283, 576, 159), (-1, 1281, 577, 161), (-1, 1279, 578, 163), (-1, 1278, 579, 165), (-1, 1276, 580, 167), (-1, 1275, 581, 168), (-1, 1273, 582, 170), (-1, 1271, 583, 173), (-1, 1270, 584, 174), (-1, 1268, 585, 176), (-1, 1267, 586, 177), (-1, 1265, 587, 180), (-1, 1263, 588, 182), (-1, 1262, 589, 183), (-1, 1260, 590, 185), (-1, 1259, 591, 187), (-1, 1259, 592, 187), (-1, 1260, 593, 186), (-1, 1260, 594, 186), (-1, 1261, 595, 186), (-1, 1261, 596, 186), (-1, 1262, 597, 185), (-1, 1262, 598, 185), (-1, 1262, 599, 186), (-1, 1263, 600, 185), (-1, 1263, 601, 185), (-1, 1264, 602, 184), (-1, 1264, 603, 185), (-1, 1265, 604, 184), (-1, 1265, 605, 184), (-1, 1265, 606, 184), (-1, 1266, 607, 184), (-1, 1266, 608, 184), (-1, 1267, 609, 183), (-1, 1267, 610, 183), (-1, 1267, 611, 184), (-1, 1268, 612, 183), (-1, 1268, 613, 183), (-1, 1269, 614, 182), (-1, 1269, 615, 183), (-1, 1270, 616, 182), (-1, 1270, 617, 182), (-1, 1270, 618, 182), (-1, 1271, 619, 182), (-1, 1271, 620, 182), (-1, 1272, 621, 181), (-1, 1272, 622, 181), (-1, 1273, 623, 181), (-1, 1273, 624, 181), (-1, 1273, 625, 181), (-1, 1274, 626, 180), (-1, 1274, 627, 181), (-1, 1275, 628, 180), (-1, 1275, 629, 180), (-1, 1276, 630, 179), (-1, 1276, 631, 180), (-1, 1276, 632, 180), (-1, 1277, 633, 179), (-1, 1277, 634, 179), (-1, 1278, 635, 179), (-1, 1278, 636, 179), (-1, 1278, 637, 179), (-1, 1279, 638, 179), (-1, 1279, 639, 179), (-1, 1280, 640, 179), (-1, 1280, 641, 179), (-1, 1281, 642, 178), (-1, 1281, 643, 179), (-1, 1281, 644, 179), (-1, 1282, 645, 178), (-1, 1282, 646, 179), (-1, 1283, 647, 178), (-1, 1283, 648, 179), (-1, 1284, 649, 178), (-1, 1284, 650, 178), (-1, 1284, 651, 179), (-1, 1285, 652, 178), (-1, 1285, 653, 178), (-1, 1286, 654, 178), (-1, 1286, 655, 178), (-1, 1287, 656, 178), (-1, 1287, 657, 178), (-1, 1287, 658, 178), (-1, 1288, 659, 178), (-1, 1288, 660, 178), (-1, 1289, 661, 178), (-1, 1289, 662, 178), (-1, 1289, 663, 178), (-1, 1290, 664, 178), (-1, 1290, 665, 178), (-1, 1291, 666, 177), (-1, 1291, 667, 178), (-1, 1292, 668, 177), (-1, 1292, 669, 178), (-1, 1292, 670, 178), (-1, 1293, 671, 177), (-1, 1293, 672, 177), (-1, 1294, 673, 176), (-1, 1294, 674, 176), (-1, 1295, 675, 175), (-1, 1295, 676, 175), (-1, 1295, 677, 175), (-1, 1296, 678, 174), (-1, 1296, 679, 174), (-1, 1296, 680, 174), (-1, 1297, 681, 173), (-1, 1297, 682, 173), (-1, 1298, 683, 172), (-1, 1298, 684, 172), (-1, 1298, 685, 172), (-1, 1299, 686, 170), (-1, 1299, 687, 170), (-1, 1299, 688, 170), (-1, 1300, 689, 169), (-1, 1300, 690, 168), (-1, 1301, 691, 167), (-1, 1301, 692, 167), (-1, 1301, 693, 166), (-1, 1302, 694, 165), (-1, 1302, 695, 165), (-1, 1302, 696, 164), (-1, 1303, 697, 163), (-1, 1303, 698, 163), (-1, 1304, 699, 162), (-1, 1304, 700, 161), (-1, 1304, 701, 161), (-1, 1305, 702, 160), (-1, 1305, 703, 159), (-1, 1305, 704, 159), (-1, 1306, 705, 158), (-1, 1306, 706, 158), (-1, 1307, 707, 156), (-1, 1307, 708, 156), (-1, 1308, 709, 155), (-1, 1310, 710, 153), (-1, 1311, 711, 152), (-1, 1313, 712, 150), (-1, 1314, 713, 149), (-1, 1315, 714, 148), (-1, 1317, 715, 146), (-1, 1318, 716, 145), (-1, 1320, 717, 143), (-1, 1321, 718, 142), (-1, 1323, 719, 140), (-1, 1324, 720, 139), (-1, 1325, 721, 137), (-1, 1327, 722, 134), (-1, 1328, 723, 132), (-1, 1330, 724, 129), (-1, 1331, 725, 127), (-1, 1333, 726, 124), (-1, 1334, 727, 123), (-1, 1335, 728, 121), (-1, 1337, 729, 118), (-1, 1338, 730, 116), (-1, 1340, 731, 113), (-1, 1341, 732, 111), (-1, 1343, 733, 108), (-1, 1344, 734, 105), (-1, 1346, 735, 101), (-1, 1347, 736, 98), (-1, 1348, 737, 95), (-1, 1350, 738, 91), (-1, 1351, 739, 88), (-1, 1353, 740, 85), (-1, 1354, 741, 82), (-1, 1356, 742, 78), (-1, 1357, 743, 75), (-1, 1358, 744, 72), (-1, 1360, 745, 68), (-1, 1361, 746, 65), (-1, 1363, 747, 62), (-1, 1364, 748, 59), (-1, 1366, 749, 55), (-1, 1367, 750, 52), (-1, 1368, 751, 49), (-1, 1370, 752, 45), (-1, 1371, 753, 43), (-1, 1373, 754, 39), (-1, 1374, 755, 36), (-1, 1375, 756, 33), (-1, 1377, 757, 29), (-1, 1378, 758, 26), (-1, 1379, 759, 23), (-1, 1380, 760, 21), (-1, 1382, 761, 17), (-1, 1383, 762, 14), (-1, 1384, 763, 11), (-1, 1385, 764, 8), (-1, 1387, 765, 4), (-1, 1388, 766, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1141, 'x1': 1418, 'y0': 1057, 'y1': 1435, 'score': 1.0, 'id': None, 'points': ['1151,1230,1196,1269,1199,1279,1198,1291,1201,1303,1250,1345,1262,1362,1277,1377,1340,1419,1372,1435,1381,1426,1418,1354,1405,1354,1391,1347,1378,1342,1370,1324,1361,1306,1351,1267,1330,1137,1328,1126,1301,1057,1282,1204,1273,1206,1231,1200,1156,1201,1141,1215'], 'sub_photo_id': 0, 'rles': [(-1, 1301, 1057, 1), (-1, 1301, 1058, 1), (-1, 1301, 1059, 2), (-1, 1301, 1060, 2), (-1, 1300, 1061, 4), (-1, 1300, 1062, 4), (-1, 1300, 1063, 4), (-1, 1300, 1064, 5), (-1, 1300, 1065, 5), (-1, 1300, 1066, 6), (-1, 1300, 1067, 6), (-1, 1300, 1068, 6), (-1, 1299, 1069, 8), (-1, 1299, 1070, 8), (-1, 1299, 1071, 8), (-1, 1299, 1072, 9), (-1, 1299, 1073, 9), (-1, 1299, 1074, 10), (-1, 1299, 1075, 10), (-1, 1299, 1076, 10), (-1, 1298, 1077, 12), (-1, 1298, 1078, 12), (-1, 1298, 1079, 13), (-1, 1298, 1080, 13), (-1, 1298, 1081, 13), (-1, 1298, 1082, 14), (-1, 1298, 1083, 14), (-1, 1298, 1084, 15), (-1, 1297, 1085, 16), (-1, 1297, 1086, 16), (-1, 1297, 1087, 17), (-1, 1297, 1088, 17), (-1, 1297, 1089, 18), (-1, 1297, 1090, 18), (-1, 1297, 1091, 18), (-1, 1296, 1092, 20), (-1, 1296, 1093, 20), (-1, 1296, 1094, 20), (-1, 1296, 1095, 21), (-1, 1296, 1096, 21), (-1, 1296, 1097, 22), (-1, 1296, 1098, 22), (-1, 1296, 1099, 22), (-1, 1295, 1100, 24), (-1, 1295, 1101, 24), (-1, 1295, 1102, 25), (-1, 1295, 1103, 25), (-1, 1295, 1104, 25), (-1, 1295, 1105, 26), (-1, 1295, 1106, 26), (-1, 1295, 1107, 27), (-1, 1294, 1108, 28), (-1, 1294, 1109, 28), (-1, 1294, 1110, 29), (-1, 1294, 1111, 29), (-1, 1294, 1112, 30), (-1, 1294, 1113, 30), (-1, 1294, 1114, 30), (-1, 1294, 1115, 31), (-1, 1293, 1116, 32), (-1, 1293, 1117, 32), (-1, 1293, 1118, 33), (-1, 1293, 1119, 33), (-1, 1293, 1120, 34), (-1, 1293, 1121, 34), (-1, 1293, 1122, 34), (-1, 1292, 1123, 36), (-1, 1292, 1124, 36), (-1, 1292, 1125, 37), (-1, 1292, 1126, 37), (-1, 1292, 1127, 37), (-1, 1292, 1128, 37), (-1, 1292, 1129, 38), (-1, 1292, 1130, 38), (-1, 1291, 1131, 39), (-1, 1291, 1132, 39), (-1, 1291, 1133, 39), (-1, 1291, 1134, 39), (-1, 1291, 1135, 40), (-1, 1291, 1136, 40), (-1, 1291, 1137, 40), (-1, 1291, 1138, 40), (-1, 1290, 1139, 41), (-1, 1290, 1140, 41), (-1, 1290, 1141, 42), (-1, 1290, 1142, 42), (-1, 1290, 1143, 42), (-1, 1290, 1144, 42), (-1, 1290, 1145, 42), (-1, 1289, 1146, 43), (-1, 1289, 1147, 44), (-1, 1289, 1148, 44), (-1, 1289, 1149, 44), (-1, 1289, 1150, 44), (-1, 1289, 1151, 44), (-1, 1289, 1152, 44), (-1, 1289, 1153, 45), (-1, 1288, 1154, 46), (-1, 1288, 1155, 46), (-1, 1288, 1156, 46), (-1, 1288, 1157, 46), (-1, 1288, 1158, 46), (-1, 1288, 1159, 47), (-1, 1288, 1160, 47), (-1, 1288, 1161, 47), (-1, 1287, 1162, 48), (-1, 1287, 1163, 48), (-1, 1287, 1164, 48), (-1, 1287, 1165, 49), (-1, 1287, 1166, 49), (-1, 1287, 1167, 49), (-1, 1287, 1168, 49), (-1, 1287, 1169, 49), (-1, 1286, 1170, 50), (-1, 1286, 1171, 50), (-1, 1286, 1172, 51), (-1, 1286, 1173, 51), (-1, 1286, 1174, 51), (-1, 1286, 1175, 51), (-1, 1286, 1176, 51), (-1, 1285, 1177, 52), (-1, 1285, 1178, 53), (-1, 1285, 1179, 53), (-1, 1285, 1180, 53), (-1, 1285, 1181, 53), (-1, 1285, 1182, 53), (-1, 1285, 1183, 53), (-1, 1285, 1184, 54), (-1, 1284, 1185, 55), (-1, 1284, 1186, 55), (-1, 1284, 1187, 55), (-1, 1284, 1188, 55), (-1, 1284, 1189, 55), (-1, 1284, 1190, 56), (-1, 1284, 1191, 56), (-1, 1284, 1192, 56), (-1, 1283, 1193, 57), (-1, 1283, 1194, 57), (-1, 1283, 1195, 57), (-1, 1283, 1196, 58), (-1, 1283, 1197, 58), (-1, 1283, 1198, 58), (-1, 1283, 1199, 58), (-1, 1194, 1200, 41), (-1, 1283, 1200, 58), (-1, 1156, 1201, 86), (-1, 1282, 1201, 59), (-1, 1155, 1202, 94), (-1, 1282, 1202, 59), (-1, 1154, 1203, 102), (-1, 1282, 1203, 60), (-1, 1153, 1204, 110), (-1, 1280, 1204, 62), (-1, 1152, 1205, 118), (-1, 1276, 1205, 66), (-1, 1151, 1206, 191), (-1, 1150, 1207, 192), (-1, 1148, 1208, 194), (-1, 1147, 1209, 196), (-1, 1146, 1210, 197), (-1, 1145, 1211, 198), (-1, 1144, 1212, 199), (-1, 1143, 1213, 200), (-1, 1142, 1214, 201), (-1, 1141, 1215, 203), (-1, 1142, 1216, 202), (-1, 1142, 1217, 202), (-1, 1143, 1218, 201), (-1, 1144, 1219, 200), (-1, 1144, 1220, 200), (-1, 1145, 1221, 200), (-1, 1146, 1222, 199), (-1, 1146, 1223, 199), (-1, 1147, 1224, 198), (-1, 1148, 1225, 197), (-1, 1148, 1226, 197), (-1, 1149, 1227, 197), (-1, 1150, 1228, 196), (-1, 1150, 1229, 196), (-1, 1151, 1230, 195), (-1, 1152, 1231, 194), (-1, 1153, 1232, 193), (-1, 1154, 1233, 193), (-1, 1156, 1234, 191), (-1, 1157, 1235, 190), (-1, 1158, 1236, 189), (-1, 1159, 1237, 188), (-1, 1160, 1238, 187), (-1, 1161, 1239, 186), (-1, 1162, 1240, 186), (-1, 1164, 1241, 184), (-1, 1165, 1242, 183), (-1, 1166, 1243, 182), (-1, 1167, 1244, 181), (-1, 1168, 1245, 180), (-1, 1169, 1246, 180), (-1, 1171, 1247, 178), (-1, 1172, 1248, 177), (-1, 1173, 1249, 176), (-1, 1174, 1250, 175), (-1, 1175, 1251, 174), (-1, 1176, 1252, 174), (-1, 1177, 1253, 173), (-1, 1179, 1254, 171), (-1, 1180, 1255, 170), (-1, 1181, 1256, 169), (-1, 1182, 1257, 168), (-1, 1183, 1258, 168), (-1, 1184, 1259, 167), (-1, 1186, 1260, 165), (-1, 1187, 1261, 164), (-1, 1188, 1262, 163), (-1, 1189, 1263, 162), (-1, 1190, 1264, 162), (-1, 1191, 1265, 161), (-1, 1192, 1266, 160), (-1, 1194, 1267, 158), (-1, 1195, 1268, 157), (-1, 1196, 1269, 157), (-1, 1196, 1270, 157), (-1, 1197, 1271, 156), (-1, 1197, 1272, 156), (-1, 1197, 1273, 157), (-1, 1197, 1274, 157), (-1, 1198, 1275, 156), (-1, 1198, 1276, 156), (-1, 1198, 1277, 157), (-1, 1199, 1278, 156), (-1, 1199, 1279, 156), (-1, 1199, 1280, 156), (-1, 1199, 1281, 157), (-1, 1199, 1282, 157), (-1, 1199, 1283, 157), (-1, 1199, 1284, 157), (-1, 1198, 1285, 159), (-1, 1198, 1286, 159), (-1, 1198, 1287, 159), (-1, 1198, 1288, 159), (-1, 1198, 1289, 160), (-1, 1198, 1290, 160), (-1, 1198, 1291, 160), (-1, 1198, 1292, 160), (-1, 1198, 1293, 161), (-1, 1199, 1294, 160), (-1, 1199, 1295, 160), (-1, 1199, 1296, 160), (-1, 1199, 1297, 161), (-1, 1200, 1298, 160), (-1, 1200, 1299, 160), (-1, 1200, 1300, 160), (-1, 1200, 1301, 161), (-1, 1201, 1302, 160), (-1, 1201, 1303, 160), (-1, 1202, 1304, 159), (-1, 1203, 1305, 159), (-1, 1204, 1306, 158), (-1, 1206, 1307, 156), (-1, 1207, 1308, 156), (-1, 1208, 1309, 155), (-1, 1209, 1310, 155), (-1, 1210, 1311, 154), (-1, 1211, 1312, 154), (-1, 1213, 1313, 152), (-1, 1214, 1314, 152), (-1, 1215, 1315, 151), (-1, 1216, 1316, 151), (-1, 1217, 1317, 150), (-1, 1218, 1318, 150), (-1, 1220, 1319, 148), (-1, 1221, 1320, 148), (-1, 1222, 1321, 147), (-1, 1223, 1322, 147), (-1, 1224, 1323, 146), (-1, 1225, 1324, 146), (-1, 1227, 1325, 144), (-1, 1228, 1326, 144), (-1, 1229, 1327, 143), (-1, 1230, 1328, 143), (-1, 1231, 1329, 142), (-1, 1232, 1330, 142), (-1, 1234, 1331, 140), (-1, 1235, 1332, 140), (-1, 1236, 1333, 139), (-1, 1237, 1334, 138), (-1, 1238, 1335, 138), (-1, 1239, 1336, 137), (-1, 1241, 1337, 136), (-1, 1242, 1338, 135), (-1, 1243, 1339, 135), (-1, 1244, 1340, 134), (-1, 1245, 1341, 134), (-1, 1246, 1342, 134), (-1, 1248, 1343, 134), (-1, 1249, 1344, 136), (-1, 1250, 1345, 138), (-1, 1251, 1346, 139), (-1, 1251, 1347, 142), (-1, 1252, 1348, 143), (-1, 1253, 1349, 144), (-1, 1254, 1350, 145), (-1, 1254, 1351, 147), (-1, 1255, 1352, 148), (-1, 1256, 1353, 149), (-1, 1256, 1354, 163), (-1, 1257, 1355, 161), (-1, 1258, 1356, 160), (-1, 1258, 1357, 159), (-1, 1259, 1358, 158), (-1, 1260, 1359, 156), (-1, 1261, 1360, 155), (-1, 1261, 1361, 154), (-1, 1262, 1362, 153), (-1, 1263, 1363, 151), (-1, 1264, 1364, 150), (-1, 1265, 1365, 148), (-1, 1266, 1366, 147), (-1, 1267, 1367, 145), (-1, 1268, 1368, 144), (-1, 1269, 1369, 142), (-1, 1270, 1370, 141), (-1, 1271, 1371, 139), (-1, 1272, 1372, 138), (-1, 1273, 1373, 136), (-1, 1274, 1374, 135), (-1, 1275, 1375, 133), (-1, 1276, 1376, 132), (-1, 1277, 1377, 130), (-1, 1278, 1378, 129), (-1, 1280, 1379, 126), (-1, 1281, 1380, 125), (-1, 1283, 1381, 122), (-1, 1284, 1382, 121), (-1, 1286, 1383, 118), (-1, 1287, 1384, 117), (-1, 1289, 1385, 114), (-1, 1290, 1386, 113), (-1, 1292, 1387, 110), (-1, 1293, 1388, 109), (-1, 1295, 1389, 106), (-1, 1296, 1390, 104), (-1, 1298, 1391, 102), (-1, 1299, 1392, 100), (-1, 1301, 1393, 98), (-1, 1302, 1394, 96), (-1, 1304, 1395, 94), (-1, 1305, 1396, 92), (-1, 1307, 1397, 90), (-1, 1308, 1398, 88), (-1, 1310, 1399, 86), (-1, 1311, 1400, 84), (-1, 1313, 1401, 82), (-1, 1314, 1402, 80), (-1, 1316, 1403, 78), (-1, 1317, 1404, 76), (-1, 1319, 1405, 74), (-1, 1320, 1406, 72), (-1, 1322, 1407, 70), (-1, 1323, 1408, 68), (-1, 1325, 1409, 66), (-1, 1326, 1410, 64), (-1, 1328, 1411, 62), (-1, 1329, 1412, 60), (-1, 1331, 1413, 58), (-1, 1332, 1414, 56), (-1, 1334, 1415, 54), (-1, 1335, 1416, 52), (-1, 1337, 1417, 50), (-1, 1338, 1418, 48), (-1, 1340, 1419, 46), (-1, 1342, 1420, 43), (-1, 1344, 1421, 41), (-1, 1346, 1422, 38), (-1, 1348, 1423, 36), (-1, 1350, 1424, 33), (-1, 1352, 1425, 31), (-1, 1354, 1426, 28), (-1, 1356, 1427, 25), (-1, 1358, 1428, 22), (-1, 1360, 1429, 19), (-1, 1362, 1430, 16), (-1, 1364, 1431, 13), (-1, 1366, 1432, 10), (-1, 1368, 1433, 7), (-1, 1370, 1434, 4), (-1, 1372, 1435, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1304, 'x1': 1820, 'y0': 768, 'y1': 1129, 'score': 1.0, 'id': None, 'points': ['1304,1056,1325,1125,1445,1080,1466,1075,1486,1071,1496,1062,1505,1056,1522,1059,1537,1060,1643,1129,1729,1041,1742,1041,1781,1095,1820,1108,1682,976,1685,961,1696,945,1702,933,1705,925,1718,913,1705,904,1694,907,1693,921,1681,925,1672,930,1667,937,1645,964,1640,979,1636,990,1630,1002,1615,1008,1600,1015,1588,1021,1577,1024,1561,1026,1547,1026,1526,1021,1520,1002,1517,981,1471,850,1471,826,1463,808,1459,801,1387,768,1394,813,1397,829,1400,844,1405,858,1406,868,1409,888,1415,913,1418,933,1423,948,1427,972,1435,996,1438,1017,1432,1035,1424,1041,1414,1051,1405,1057,1390,1066,1373,1074,1355,1081,1345,1086,1328,1086'], 'sub_photo_id': 0, 'rles': [(-1, 1387, 768, 2), (-1, 1387, 769, 4), (-1, 1387, 770, 6), (-1, 1387, 771, 8), (-1, 1388, 772, 9), (-1, 1388, 773, 12), (-1, 1388, 774, 14), (-1, 1388, 775, 16), (-1, 1388, 776, 18), (-1, 1388, 777, 20), (-1, 1389, 778, 21), (-1, 1389, 779, 24), (-1, 1389, 780, 26), (-1, 1389, 781, 28), (-1, 1389, 782, 30), (-1, 1389, 783, 32), (-1, 1389, 784, 35), (-1, 1390, 785, 36), (-1, 1390, 786, 38), (-1, 1390, 787, 40), (-1, 1390, 788, 42), (-1, 1390, 789, 44), (-1, 1390, 790, 47), (-1, 1391, 791, 48), (-1, 1391, 792, 50), (-1, 1391, 793, 52), (-1, 1391, 794, 54), (-1, 1391, 795, 57), (-1, 1391, 796, 59), (-1, 1392, 797, 60), (-1, 1392, 798, 62), (-1, 1392, 799, 64), (-1, 1392, 800, 66), (-1, 1392, 801, 68), (-1, 1392, 802, 69), (-1, 1392, 803, 69), (-1, 1393, 804, 69), (-1, 1393, 805, 69), (-1, 1393, 806, 70), (-1, 1393, 807, 70), (-1, 1393, 808, 71), (-1, 1393, 809, 71), (-1, 1394, 810, 71), (-1, 1394, 811, 71), (-1, 1394, 812, 72), (-1, 1394, 813, 72), (-1, 1394, 814, 73), (-1, 1394, 815, 73), (-1, 1395, 816, 73), (-1, 1395, 817, 73), (-1, 1395, 818, 73), (-1, 1395, 819, 74), (-1, 1395, 820, 74), (-1, 1395, 821, 75), (-1, 1396, 822, 74), (-1, 1396, 823, 75), (-1, 1396, 824, 75), (-1, 1396, 825, 76), (-1, 1396, 826, 76), (-1, 1397, 827, 75), (-1, 1397, 828, 75), (-1, 1397, 829, 75), (-1, 1397, 830, 75), (-1, 1397, 831, 75), (-1, 1398, 832, 74), (-1, 1398, 833, 74), (-1, 1398, 834, 74), (-1, 1398, 835, 74), (-1, 1398, 836, 74), (-1, 1399, 837, 73), (-1, 1399, 838, 73), (-1, 1399, 839, 73), (-1, 1399, 840, 73), (-1, 1399, 841, 73), (-1, 1400, 842, 72), (-1, 1400, 843, 72), (-1, 1400, 844, 72), (-1, 1400, 845, 72), (-1, 1401, 846, 71), (-1, 1401, 847, 71), (-1, 1401, 848, 71), (-1, 1402, 849, 70), (-1, 1402, 850, 70), (-1, 1402, 851, 70), (-1, 1403, 852, 70), (-1, 1403, 853, 70), (-1, 1404, 854, 69), (-1, 1404, 855, 70), (-1, 1404, 856, 70), (-1, 1405, 857, 69), (-1, 1405, 858, 70), (-1, 1405, 859, 70), (-1, 1405, 860, 71), (-1, 1405, 861, 71), (-1, 1405, 862, 71), (-1, 1405, 863, 72), (-1, 1406, 864, 71), (-1, 1406, 865, 71), (-1, 1406, 866, 72), (-1, 1406, 867, 72), (-1, 1406, 868, 72), (-1, 1406, 869, 73), (-1, 1406, 870, 73), (-1, 1406, 871, 73), (-1, 1407, 872, 73), (-1, 1407, 873, 73), (-1, 1407, 874, 73), (-1, 1407, 875, 74), (-1, 1407, 876, 74), (-1, 1407, 877, 74), (-1, 1407, 878, 75), (-1, 1408, 879, 74), (-1, 1408, 880, 75), (-1, 1408, 881, 75), (-1, 1408, 882, 75), (-1, 1408, 883, 76), (-1, 1408, 884, 76), (-1, 1409, 885, 75), (-1, 1409, 886, 76), (-1, 1409, 887, 76), (-1, 1409, 888, 76), (-1, 1409, 889, 77), (-1, 1409, 890, 77), (-1, 1410, 891, 76), (-1, 1410, 892, 77), (-1, 1410, 893, 77), (-1, 1410, 894, 77), (-1, 1411, 895, 77), (-1, 1411, 896, 77), (-1, 1411, 897, 78), (-1, 1411, 898, 78), (-1, 1412, 899, 77), (-1, 1412, 900, 78), (-1, 1412, 901, 78), (-1, 1412, 902, 78), (-1, 1413, 903, 78), (-1, 1413, 904, 78), (-1, 1704, 904, 2), (-1, 1413, 905, 78), (-1, 1700, 905, 8), (-1, 1413, 906, 79), (-1, 1696, 906, 13), (-1, 1414, 907, 78), (-1, 1694, 907, 17), (-1, 1414, 908, 78), (-1, 1694, 908, 18), (-1, 1414, 909, 79), (-1, 1694, 909, 19), (-1, 1414, 910, 79), (-1, 1694, 910, 21), (-1, 1415, 911, 78), (-1, 1694, 911, 22), (-1, 1415, 912, 79), (-1, 1694, 912, 24), (-1, 1415, 913, 79), (-1, 1694, 913, 25), (-1, 1415, 914, 79), (-1, 1693, 914, 25), (-1, 1415, 915, 80), (-1, 1693, 915, 24), (-1, 1415, 916, 80), (-1, 1693, 916, 23), (-1, 1416, 917, 80), (-1, 1693, 917, 22), (-1, 1416, 918, 80), (-1, 1693, 918, 21), (-1, 1416, 919, 80), (-1, 1693, 919, 20), (-1, 1416, 920, 81), (-1, 1693, 920, 18), (-1, 1416, 921, 81), (-1, 1692, 921, 18), (-1, 1416, 922, 81), (-1, 1689, 922, 20), (-1, 1416, 923, 82), (-1, 1686, 923, 22), (-1, 1417, 924, 81), (-1, 1683, 924, 24), (-1, 1417, 925, 81), (-1, 1681, 925, 25), (-1, 1417, 926, 82), (-1, 1679, 926, 27), (-1, 1417, 927, 82), (-1, 1677, 927, 28), (-1, 1417, 928, 82), (-1, 1675, 928, 30), (-1, 1417, 929, 83), (-1, 1673, 929, 31), (-1, 1418, 930, 82), (-1, 1672, 930, 32), (-1, 1418, 931, 82), (-1, 1671, 931, 33), (-1, 1418, 932, 83), (-1, 1671, 932, 32), (-1, 1418, 933, 83), (-1, 1670, 933, 33), (-1, 1418, 934, 83), (-1, 1669, 934, 33), (-1, 1419, 935, 83), (-1, 1668, 935, 34), (-1, 1419, 936, 83), (-1, 1668, 936, 33), (-1, 1419, 937, 84), (-1, 1667, 937, 34), (-1, 1420, 938, 83), (-1, 1666, 938, 34), (-1, 1420, 939, 83), (-1, 1665, 939, 35), (-1, 1420, 940, 84), (-1, 1665, 940, 34), (-1, 1421, 941, 83), (-1, 1664, 941, 35), (-1, 1421, 942, 83), (-1, 1663, 942, 35), (-1, 1421, 943, 84), (-1, 1662, 943, 36), (-1, 1422, 944, 83), (-1, 1661, 944, 36), (-1, 1422, 945, 83), (-1, 1660, 945, 37), (-1, 1422, 946, 84), (-1, 1660, 946, 36), (-1, 1423, 947, 83), (-1, 1659, 947, 37), (-1, 1423, 948, 83), (-1, 1658, 948, 37), (-1, 1423, 949, 84), (-1, 1657, 949, 37), (-1, 1423, 950, 84), (-1, 1656, 950, 38), (-1, 1423, 951, 84), (-1, 1656, 951, 37), (-1, 1424, 952, 84), (-1, 1655, 952, 37), (-1, 1424, 953, 84), (-1, 1654, 953, 37), (-1, 1424, 954, 85), (-1, 1653, 954, 38), (-1, 1424, 955, 85), (-1, 1652, 955, 38), (-1, 1424, 956, 85), (-1, 1652, 956, 37), (-1, 1424, 957, 86), (-1, 1651, 957, 38), (-1, 1425, 958, 85), (-1, 1650, 958, 38), (-1, 1425, 959, 85), (-1, 1649, 959, 38), (-1, 1425, 960, 86), (-1, 1648, 960, 39), (-1, 1425, 961, 86), (-1, 1647, 961, 39), (-1, 1425, 962, 86), (-1, 1647, 962, 39), (-1, 1425, 963, 87), (-1, 1646, 963, 40), (-1, 1426, 964, 86), (-1, 1645, 964, 40), (-1, 1426, 965, 86), (-1, 1645, 965, 40), (-1, 1426, 966, 87), (-1, 1644, 966, 41), (-1, 1426, 967, 87), (-1, 1644, 967, 41), (-1, 1426, 968, 87), (-1, 1644, 968, 41), (-1, 1426, 969, 88), (-1, 1643, 969, 41), (-1, 1427, 970, 87), (-1, 1643, 970, 41), (-1, 1427, 971, 87), (-1, 1643, 971, 41), (-1, 1427, 972, 88), (-1, 1642, 972, 42), (-1, 1427, 973, 88), (-1, 1642, 973, 42), (-1, 1428, 974, 88), (-1, 1642, 974, 41), (-1, 1428, 975, 88), (-1, 1641, 975, 42), (-1, 1428, 976, 88), (-1, 1641, 976, 42), (-1, 1429, 977, 88), (-1, 1641, 977, 43), (-1, 1429, 978, 88), (-1, 1640, 978, 45), (-1, 1429, 979, 88), (-1, 1640, 979, 46), (-1, 1430, 980, 88), (-1, 1640, 980, 47), (-1, 1430, 981, 88), (-1, 1639, 981, 49), (-1, 1430, 982, 88), (-1, 1639, 982, 50), (-1, 1431, 983, 87), (-1, 1639, 983, 51), (-1, 1431, 984, 87), (-1, 1638, 984, 53), (-1, 1431, 985, 88), (-1, 1638, 985, 54), (-1, 1432, 986, 87), (-1, 1637, 986, 56), (-1, 1432, 987, 87), (-1, 1637, 987, 58), (-1, 1432, 988, 87), (-1, 1637, 988, 59), (-1, 1433, 989, 86), (-1, 1636, 989, 61), (-1, 1433, 990, 86), (-1, 1636, 990, 62), (-1, 1433, 991, 86), (-1, 1635, 991, 64), (-1, 1434, 992, 86), (-1, 1635, 992, 65), (-1, 1434, 993, 86), (-1, 1634, 993, 67), (-1, 1434, 994, 86), (-1, 1634, 994, 68), (-1, 1435, 995, 85), (-1, 1633, 995, 70), (-1, 1435, 996, 85), (-1, 1633, 996, 71), (-1, 1435, 997, 85), (-1, 1632, 997, 73), (-1, 1435, 998, 85), (-1, 1632, 998, 74), (-1, 1435, 999, 86), (-1, 1631, 999, 76), (-1, 1436, 1000, 85), (-1, 1631, 1000, 77), (-1, 1436, 1001, 85), (-1, 1630, 1001, 79), (-1, 1436, 1002, 85), (-1, 1629, 1002, 81), (-1, 1436, 1003, 85), (-1, 1627, 1003, 84), (-1, 1436, 1004, 86), (-1, 1624, 1004, 88), (-1, 1436, 1005, 86), (-1, 1622, 1005, 91), (-1, 1436, 1006, 86), (-1, 1619, 1006, 95), (-1, 1437, 1007, 86), (-1, 1617, 1007, 98), (-1, 1437, 1008, 86), (-1, 1614, 1008, 102), (-1, 1437, 1009, 86), (-1, 1612, 1009, 106), (-1, 1437, 1010, 87), (-1, 1610, 1010, 109), (-1, 1437, 1011, 87), (-1, 1608, 1011, 112), (-1, 1437, 1012, 87), (-1, 1606, 1012, 115), (-1, 1437, 1013, 87), (-1, 1604, 1013, 118), (-1, 1438, 1014, 87), (-1, 1602, 1014, 121), (-1, 1438, 1015, 87), (-1, 1600, 1015, 124), (-1, 1438, 1016, 87), (-1, 1598, 1016, 127), (-1, 1438, 1017, 88), (-1, 1596, 1017, 130), (-1, 1438, 1018, 88), (-1, 1594, 1018, 133), (-1, 1437, 1019, 89), (-1, 1592, 1019, 136), (-1, 1437, 1020, 90), (-1, 1590, 1020, 139), (-1, 1437, 1021, 92), (-1, 1587, 1021, 143), (-1, 1436, 1022, 97), (-1, 1583, 1022, 148), (-1, 1436, 1023, 101), (-1, 1579, 1023, 153), (-1, 1436, 1024, 105), (-1, 1574, 1024, 159), (-1, 1435, 1025, 110), (-1, 1566, 1025, 168), (-1, 1435, 1026, 300), (-1, 1435, 1027, 301), (-1, 1434, 1028, 303), (-1, 1434, 1029, 304), (-1, 1434, 1030, 305), (-1, 1433, 1031, 308), (-1, 1433, 1032, 309), (-1, 1433, 1033, 310), (-1, 1432, 1034, 312), (-1, 1432, 1035, 313), (-1, 1431, 1036, 315), (-1, 1429, 1037, 318), (-1, 1428, 1038, 320), (-1, 1427, 1039, 322), (-1, 1425, 1040, 325), (-1, 1424, 1041, 327), (-1, 1423, 1042, 306), (-1, 1743, 1042, 9), (-1, 1422, 1043, 306), (-1, 1743, 1043, 10), (-1, 1421, 1044, 306), (-1, 1744, 1044, 10), (-1, 1420, 1045, 306), (-1, 1745, 1045, 10), (-1, 1419, 1046, 306), (-1, 1746, 1046, 10), (-1, 1418, 1047, 306), (-1, 1746, 1047, 11), (-1, 1417, 1048, 306), (-1, 1747, 1048, 11), (-1, 1416, 1049, 306), (-1, 1748, 1049, 11), (-1, 1415, 1050, 306), (-1, 1748, 1050, 12), (-1, 1414, 1051, 306), (-1, 1749, 1051, 12), (-1, 1412, 1052, 307), (-1, 1750, 1052, 12), (-1, 1411, 1053, 307), (-1, 1751, 1053, 13), (-1, 1409, 1054, 308), (-1, 1751, 1054, 14), (-1, 1408, 1055, 308), (-1, 1752, 1055, 14), (-1, 1304, 1056, 1), (-1, 1406, 1056, 309), (-1, 1753, 1056, 14), (-1, 1304, 1057, 2), (-1, 1405, 1057, 100), (-1, 1508, 1057, 206), (-1, 1754, 1057, 14), (-1, 1305, 1058, 2), (-1, 1403, 1058, 100), (-1, 1514, 1058, 199), (-1, 1754, 1058, 15), (-1, 1305, 1059, 2), (-1, 1401, 1059, 101), (-1, 1520, 1059, 192), (-1, 1755, 1059, 15), (-1, 1305, 1060, 3), (-1, 1400, 1060, 100), (-1, 1530, 1060, 181), (-1, 1756, 1060, 15), (-1, 1306, 1061, 3), (-1, 1398, 1061, 101), (-1, 1538, 1061, 172), (-1, 1756, 1061, 16), (-1, 1306, 1062, 4), (-1, 1396, 1062, 101), (-1, 1540, 1062, 169), (-1, 1757, 1062, 16), (-1, 1306, 1063, 5), (-1, 1395, 1063, 101), (-1, 1541, 1063, 167), (-1, 1758, 1063, 16), (-1, 1306, 1064, 5), (-1, 1393, 1064, 102), (-1, 1543, 1064, 165), (-1, 1759, 1064, 16), (-1, 1307, 1065, 5), (-1, 1391, 1065, 103), (-1, 1544, 1065, 163), (-1, 1759, 1065, 17), (-1, 1307, 1066, 6), (-1, 1389, 1066, 104), (-1, 1546, 1066, 160), (-1, 1760, 1066, 17), (-1, 1307, 1067, 7), (-1, 1387, 1067, 105), (-1, 1547, 1067, 158), (-1, 1761, 1067, 17), (-1, 1308, 1068, 7), (-1, 1385, 1068, 105), (-1, 1549, 1068, 155), (-1, 1761, 1068, 18), (-1, 1308, 1069, 7), (-1, 1383, 1069, 106), (-1, 1551, 1069, 152), (-1, 1762, 1069, 18), (-1, 1308, 1070, 8), (-1, 1381, 1070, 107), (-1, 1552, 1070, 150), (-1, 1763, 1070, 18), (-1, 1309, 1071, 8), (-1, 1379, 1071, 108), (-1, 1554, 1071, 147), (-1, 1764, 1071, 18), (-1, 1309, 1072, 9), (-1, 1377, 1072, 107), (-1, 1555, 1072, 145), (-1, 1764, 1072, 19), (-1, 1309, 1073, 10), (-1, 1375, 1073, 104), (-1, 1557, 1073, 142), (-1, 1765, 1073, 19), (-1, 1309, 1074, 10), (-1, 1372, 1074, 102), (-1, 1558, 1074, 140), (-1, 1766, 1074, 19), (-1, 1310, 1075, 10), (-1, 1370, 1075, 99), (-1, 1560, 1075, 137), (-1, 1767, 1075, 20), (-1, 1310, 1076, 11), (-1, 1367, 1076, 97), (-1, 1561, 1076, 135), (-1, 1767, 1076, 21), (-1, 1310, 1077, 12), (-1, 1365, 1077, 95), (-1, 1563, 1077, 132), (-1, 1768, 1077, 21), (-1, 1311, 1078, 12), (-1, 1362, 1078, 94), (-1, 1564, 1078, 130), (-1, 1769, 1078, 21), (-1, 1311, 1079, 12), (-1, 1359, 1079, 93), (-1, 1566, 1079, 127), (-1, 1769, 1079, 22), (-1, 1311, 1080, 13), (-1, 1357, 1080, 91), (-1, 1567, 1080, 125), (-1, 1770, 1080, 22), (-1, 1312, 1081, 13), (-1, 1355, 1081, 89), (-1, 1569, 1081, 122), (-1, 1771, 1081, 22), (-1, 1312, 1082, 14), (-1, 1353, 1082, 89), (-1, 1571, 1082, 119), (-1, 1772, 1082, 22), (-1, 1312, 1083, 15), (-1, 1351, 1083, 88), (-1, 1572, 1083, 117), (-1, 1772, 1083, 23), (-1, 1313, 1084, 14), (-1, 1349, 1084, 87), (-1, 1574, 1084, 114), (-1, 1773, 1084, 23), (-1, 1313, 1085, 15), (-1, 1347, 1085, 87), (-1, 1575, 1085, 112), (-1, 1774, 1085, 23), (-1, 1313, 1086, 118), (-1, 1577, 1086, 109), (-1, 1774, 1086, 24), (-1, 1313, 1087, 115), (-1, 1578, 1087, 107), (-1, 1775, 1087, 24), (-1, 1314, 1088, 112), (-1, 1580, 1088, 104), (-1, 1776, 1088, 24), (-1, 1314, 1089, 109), (-1, 1581, 1089, 102), (-1, 1777, 1089, 24), (-1, 1314, 1090, 106), (-1, 1583, 1090, 99), (-1, 1777, 1090, 25), (-1, 1315, 1091, 103), (-1, 1584, 1091, 97), (-1, 1778, 1091, 25), (-1, 1315, 1092, 100), (-1, 1586, 1092, 94), (-1, 1779, 1092, 25), (-1, 1315, 1093, 97), (-1, 1587, 1093, 92), (-1, 1780, 1093, 25), (-1, 1316, 1094, 94), (-1, 1589, 1094, 89), (-1, 1780, 1094, 26), (-1, 1316, 1095, 91), (-1, 1591, 1095, 86), (-1, 1781, 1095, 26), (-1, 1316, 1096, 88), (-1, 1592, 1096, 84), (-1, 1783, 1096, 25), (-1, 1316, 1097, 86), (-1, 1594, 1097, 81), (-1, 1786, 1097, 24), (-1, 1317, 1098, 82), (-1, 1595, 1098, 79), (-1, 1789, 1098, 22), (-1, 1317, 1099, 79), (-1, 1597, 1099, 76), (-1, 1792, 1099, 20), (-1, 1317, 1100, 77), (-1, 1598, 1100, 74), (-1, 1795, 1100, 18), (-1, 1318, 1101, 73), (-1, 1600, 1101, 71), (-1, 1798, 1101, 16), (-1, 1318, 1102, 70), (-1, 1601, 1102, 69), (-1, 1801, 1102, 14), (-1, 1318, 1103, 68), (-1, 1603, 1103, 66), (-1, 1804, 1103, 12), (-1, 1319, 1104, 64), (-1, 1604, 1104, 64), (-1, 1807, 1104, 10), (-1, 1319, 1105, 61), (-1, 1606, 1105, 61), (-1, 1810, 1105, 8), (-1, 1319, 1106, 59), (-1, 1607, 1106, 59), (-1, 1813, 1106, 6), (-1, 1320, 1107, 55), (-1, 1609, 1107, 56), (-1, 1816, 1107, 4), (-1, 1320, 1108, 52), (-1, 1610, 1108, 55), (-1, 1819, 1108, 2), (-1, 1320, 1109, 50), (-1, 1612, 1109, 52), (-1, 1320, 1110, 47), (-1, 1614, 1110, 49), (-1, 1321, 1111, 43), (-1, 1615, 1111, 47), (-1, 1321, 1112, 41), (-1, 1617, 1112, 44), (-1, 1321, 1113, 38), (-1, 1618, 1113, 42), (-1, 1322, 1114, 34), (-1, 1620, 1114, 39), (-1, 1322, 1115, 32), (-1, 1621, 1115, 37), (-1, 1322, 1116, 29), (-1, 1623, 1116, 34), (-1, 1323, 1117, 25), (-1, 1624, 1117, 32), (-1, 1323, 1118, 23), (-1, 1626, 1118, 29), (-1, 1323, 1119, 20), (-1, 1627, 1119, 27), (-1, 1323, 1120, 17), (-1, 1629, 1120, 24), (-1, 1324, 1121, 14), (-1, 1630, 1121, 22), (-1, 1324, 1122, 11), (-1, 1632, 1122, 19), (-1, 1324, 1123, 8), (-1, 1634, 1123, 16), (-1, 1325, 1124, 5), (-1, 1635, 1124, 14), (-1, 1325, 1125, 2), (-1, 1637, 1125, 11), (-1, 1638, 1126, 9), (-1, 1640, 1127, 6), (-1, 1641, 1128, 4), (-1, 1643, 1129, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 529, 'x1': 2158, 'y0': 0, 'y1': 1438, 'score': 1.0, 'id': None, 'points': ['2157,3,2160,1438,2024,1440,2029,1413,2030,1393,2089,1371,2089,1359,2081,1330,2069,1311,2080,1239,1984,1257,1979,1242,1973,1231,1955,1216,1930,1239,1799,1372,1766,1333,1798,1251,1858,1191,1838,1165,1847,1146,1849,1123,1834,1113,1856,1084,1868,1084,1883,1075,1897,1066,1912,1047,1918,1036,1765,877,1756,879,1751,885,1735,903,1726,910,1721,915,1705,904,1697,885,1703,871,1667,802,1637,717,1628,711,1604,720,1568,735,1514,763,1496,778,1483,786,1462,802,1388,769,1447,736,1459,727,1465,715,1465,699,1471,684,1459,640,1450,609,1450,595,1441,564,1436,543,1429,529,1414,528,1375,537,1366,526,1358,525,1265,589,1264,598,1315,712,1304,708,1292,697,1247,676,1228,687,1033,706,953,721,947,712,931,705,925,712,910,718,890,726,869,730,847,744,773,726,742,673,733,669,722,661,701,619,695,595,686,574,676,549,665,502,680,501,689,501,877,226,875,210,884,201,895,196,910,195,917,199,931,211,943,217,953,208,967,205,977,199,974,178,973,160,970,139,970,120,962,106,940,88,928,18,713,24,725,93,667,45,670,30,673,22,532,10,529,0'], 'sub_photo_id': 0, 'rles': [(-1, 529, 0, 272), (-1, 529, 1, 815), (-1, 530, 2, 1356), (-1, 530, 3, 1628), (-1, 530, 4, 1628), (-1, 530, 5, 1628), (-1, 531, 6, 1627), (-1, 531, 7, 1627), (-1, 531, 8, 1627), (-1, 532, 9, 1626), (-1, 532, 10, 1626), (-1, 538, 11, 1620), (-1, 550, 12, 1608), (-1, 562, 13, 1596), (-1, 574, 14, 1584), (-1, 585, 15, 1573), (-1, 597, 16, 1561), (-1, 609, 17, 1549), (-1, 621, 18, 1537), (-1, 632, 19, 279), (-1, 928, 19, 1230), (-1, 644, 20, 231), (-1, 928, 20, 1230), (-1, 656, 21, 183), (-1, 929, 21, 1229), (-1, 668, 22, 135), (-1, 929, 22, 1229), (-1, 673, 23, 94), (-1, 929, 23, 1229), (-1, 672, 24, 59), (-1, 929, 24, 1229), (-1, 672, 25, 42), (-1, 929, 25, 1229), (-1, 671, 26, 43), (-1, 929, 26, 1229), (-1, 671, 27, 44), (-1, 930, 27, 1228), (-1, 671, 28, 44), (-1, 930, 28, 1228), (-1, 670, 29, 45), (-1, 930, 29, 1228), (-1, 670, 30, 45), (-1, 930, 30, 1228), (-1, 670, 31, 45), (-1, 930, 31, 1228), (-1, 670, 32, 45), (-1, 930, 32, 1228), (-1, 669, 33, 47), (-1, 931, 33, 1227), (-1, 669, 34, 47), (-1, 931, 34, 1227), (-1, 669, 35, 47), (-1, 931, 35, 1227), (-1, 669, 36, 47), (-1, 931, 36, 1227), (-1, 669, 37, 47), (-1, 931, 37, 1227), (-1, 668, 38, 48), (-1, 931, 38, 1227), (-1, 668, 39, 49), (-1, 932, 39, 1226), (-1, 668, 40, 49), (-1, 932, 40, 1226), (-1, 668, 41, 49), (-1, 932, 41, 1226), (-1, 668, 42, 49), (-1, 932, 42, 1226), (-1, 667, 43, 50), (-1, 932, 43, 1226), (-1, 667, 44, 50), (-1, 932, 44, 1226), (-1, 667, 45, 51), (-1, 933, 45, 1225), (-1, 668, 46, 50), (-1, 933, 46, 1225), (-1, 669, 47, 49), (-1, 933, 47, 1225), (-1, 671, 48, 47), (-1, 933, 48, 1225), (-1, 672, 49, 46), (-1, 933, 49, 1225), (-1, 673, 50, 46), (-1, 933, 50, 1225), (-1, 674, 51, 45), (-1, 934, 51, 1224), (-1, 675, 52, 44), (-1, 934, 52, 1224), (-1, 677, 53, 42), (-1, 934, 53, 1224), (-1, 678, 54, 41), (-1, 934, 54, 1224), (-1, 679, 55, 40), (-1, 934, 55, 1224), (-1, 680, 56, 40), (-1, 935, 56, 1223), (-1, 681, 57, 39), (-1, 935, 57, 1223), (-1, 683, 58, 37), (-1, 935, 58, 1223), (-1, 684, 59, 36), (-1, 935, 59, 1223), (-1, 685, 60, 35), (-1, 935, 60, 1223), (-1, 686, 61, 34), (-1, 935, 61, 1223), (-1, 687, 62, 34), (-1, 936, 62, 1222), (-1, 689, 63, 32), (-1, 936, 63, 1222), (-1, 690, 64, 31), (-1, 936, 64, 1222), (-1, 691, 65, 30), (-1, 936, 65, 1222), (-1, 692, 66, 29), (-1, 936, 66, 1222), (-1, 693, 67, 28), (-1, 936, 67, 1222), (-1, 695, 68, 27), (-1, 937, 68, 1221), (-1, 696, 69, 26), (-1, 937, 69, 1221), (-1, 697, 70, 25), (-1, 937, 70, 1221), (-1, 698, 71, 24), (-1, 937, 71, 1221), (-1, 700, 72, 22), (-1, 937, 72, 1221), (-1, 701, 73, 22), (-1, 937, 73, 1221), (-1, 702, 74, 21), (-1, 938, 74, 1220), (-1, 703, 75, 20), (-1, 938, 75, 1220), (-1, 704, 76, 19), (-1, 938, 76, 1220), (-1, 706, 77, 17), (-1, 938, 77, 1220), (-1, 707, 78, 16), (-1, 938, 78, 1220), (-1, 708, 79, 16), (-1, 938, 79, 1220), (-1, 709, 80, 15), (-1, 939, 80, 1219), (-1, 710, 81, 14), (-1, 939, 81, 1219), (-1, 712, 82, 12), (-1, 939, 82, 1219), (-1, 713, 83, 11), (-1, 939, 83, 1219), (-1, 714, 84, 10), (-1, 939, 84, 1219), (-1, 715, 85, 10), (-1, 939, 85, 1219), (-1, 716, 86, 9), (-1, 940, 86, 1218), (-1, 718, 87, 7), (-1, 940, 87, 1218), (-1, 719, 88, 6), (-1, 940, 88, 1218), (-1, 720, 89, 5), (-1, 941, 89, 1217), (-1, 721, 90, 4), (-1, 942, 90, 1216), (-1, 722, 91, 4), (-1, 944, 91, 1214), (-1, 724, 92, 2), (-1, 945, 92, 1213), (-1, 725, 93, 1), (-1, 946, 93, 1212), (-1, 947, 94, 1211), (-1, 948, 95, 1210), (-1, 950, 96, 1208), (-1, 951, 97, 1207), (-1, 952, 98, 1206), (-1, 953, 99, 1205), (-1, 955, 100, 1203), (-1, 956, 101, 1202), (-1, 957, 102, 1201), (-1, 958, 103, 1200), (-1, 959, 104, 1199), (-1, 961, 105, 1197), (-1, 962, 106, 1196), (-1, 963, 107, 1195), (-1, 963, 108, 1195), (-1, 964, 109, 1194), (-1, 964, 110, 1194), (-1, 965, 111, 1193), (-1, 965, 112, 1193), (-1, 966, 113, 1192), (-1, 967, 114, 1191), (-1, 967, 115, 1191), (-1, 968, 116, 1190), (-1, 968, 117, 1190), (-1, 969, 118, 1189), (-1, 969, 119, 1189), (-1, 970, 120, 1188), (-1, 970, 121, 1188), (-1, 970, 122, 1188), (-1, 970, 123, 1188), (-1, 970, 124, 1188), (-1, 970, 125, 1188), (-1, 970, 126, 1188), (-1, 970, 127, 1188), (-1, 970, 128, 1188), (-1, 970, 129, 1188), (-1, 970, 130, 1188), (-1, 970, 131, 1188), (-1, 970, 132, 1188), (-1, 970, 133, 1188), (-1, 970, 134, 1188), (-1, 970, 135, 1188), (-1, 970, 136, 1188), (-1, 970, 137, 1188), (-1, 970, 138, 1188), (-1, 970, 139, 1188), (-1, 970, 140, 1188), (-1, 970, 141, 1188), (-1, 970, 142, 1188), (-1, 971, 143, 1187), (-1, 971, 144, 1187), (-1, 971, 145, 1187), (-1, 971, 146, 1187), (-1, 971, 147, 1187), (-1, 971, 148, 1187), (-1, 971, 149, 1187), (-1, 972, 150, 1186), (-1, 972, 151, 1186), (-1, 972, 152, 1186), (-1, 972, 153, 1186), (-1, 972, 154, 1186), (-1, 972, 155, 1186), (-1, 972, 156, 1186), (-1, 973, 157, 1185), (-1, 973, 158, 1185), (-1, 973, 159, 1185), (-1, 973, 160, 1185), (-1, 973, 161, 1185), (-1, 973, 162, 1185), (-1, 973, 163, 1185), (-1, 973, 164, 1185), (-1, 973, 165, 1185), (-1, 973, 166, 1185), (-1, 973, 167, 1185), (-1, 973, 168, 1185), (-1, 973, 169, 1185), (-1, 974, 170, 1184), (-1, 974, 171, 1184), (-1, 974, 172, 1184), (-1, 974, 173, 1184), (-1, 974, 174, 1184), (-1, 974, 175, 1184), (-1, 974, 176, 1184), (-1, 974, 177, 1184), (-1, 974, 178, 1184), (-1, 974, 179, 1184), (-1, 974, 180, 1184), (-1, 974, 181, 1184), (-1, 975, 182, 1183), (-1, 975, 183, 1183), (-1, 975, 184, 1183), (-1, 975, 185, 1183), (-1, 975, 186, 1183), (-1, 975, 187, 1183), (-1, 975, 188, 1183), (-1, 976, 189, 1182), (-1, 976, 190, 1182), (-1, 976, 191, 1182), (-1, 976, 192, 1182), (-1, 976, 193, 1182), (-1, 976, 194, 1182), (-1, 903, 195, 8), (-1, 976, 195, 1182), (-1, 894, 196, 19), (-1, 977, 196, 1181), (-1, 892, 197, 23), (-1, 977, 197, 1181), (-1, 890, 198, 27), (-1, 977, 198, 1181), (-1, 888, 199, 30), (-1, 977, 199, 1181), (-1, 886, 200, 33), (-1, 975, 200, 1183), (-1, 884, 201, 36), (-1, 973, 201, 1185), (-1, 883, 202, 39), (-1, 972, 202, 1186), (-1, 882, 203, 41), (-1, 970, 203, 1188), (-1, 881, 204, 43), (-1, 968, 204, 1190), (-1, 880, 205, 45), (-1, 965, 205, 1193), (-1, 879, 206, 47), (-1, 961, 206, 1197), (-1, 878, 207, 49), (-1, 956, 207, 1202), (-1, 877, 208, 52), (-1, 953, 208, 1205), (-1, 876, 209, 54), (-1, 952, 209, 1206), (-1, 875, 210, 56), (-1, 951, 210, 1207), (-1, 875, 211, 58), (-1, 950, 211, 1208), (-1, 875, 212, 60), (-1, 949, 212, 1209), (-1, 875, 213, 62), (-1, 947, 213, 1211), (-1, 875, 214, 64), (-1, 946, 214, 1212), (-1, 876, 215, 65), (-1, 945, 215, 1213), (-1, 876, 216, 67), (-1, 944, 216, 1214), (-1, 876, 217, 1282), (-1, 876, 218, 1282), (-1, 876, 219, 1282), (-1, 876, 220, 1282), (-1, 876, 221, 1282), (-1, 876, 222, 1282), (-1, 877, 223, 1281), (-1, 877, 224, 1281), (-1, 877, 225, 1281), (-1, 877, 226, 1281), (-1, 876, 227, 1282), (-1, 876, 228, 1282), (-1, 875, 229, 1283), (-1, 874, 230, 1284), (-1, 874, 231, 1284), (-1, 873, 232, 1285), (-1, 872, 233, 1286), (-1, 872, 234, 1286), (-1, 871, 235, 1287), (-1, 870, 236, 1288), (-1, 869, 237, 1289), (-1, 869, 238, 1289), (-1, 868, 239, 1290), (-1, 867, 240, 1291), (-1, 867, 241, 1291), (-1, 866, 242, 1292), (-1, 865, 243, 1294), (-1, 865, 244, 1294), (-1, 864, 245, 1295), (-1, 863, 246, 1296), (-1, 863, 247, 1296), (-1, 862, 248, 1297), (-1, 861, 249, 1298), (-1, 861, 250, 1298), (-1, 860, 251, 1299), (-1, 859, 252, 1300), (-1, 859, 253, 1300), (-1, 858, 254, 1301), (-1, 857, 255, 1302), (-1, 856, 256, 1303), (-1, 856, 257, 1303), (-1, 855, 258, 1304), (-1, 854, 259, 1305), (-1, 854, 260, 1305), (-1, 853, 261, 1306), (-1, 852, 262, 1307), (-1, 852, 263, 1307), (-1, 851, 264, 1308), (-1, 850, 265, 1309), (-1, 850, 266, 1309), (-1, 849, 267, 1310), (-1, 848, 268, 1311), (-1, 848, 269, 1311), (-1, 847, 270, 1312), (-1, 846, 271, 1313), (-1, 846, 272, 1313), (-1, 845, 273, 1314), (-1, 844, 274, 1315), (-1, 844, 275, 1315), (-1, 843, 276, 1316), (-1, 842, 277, 1317), (-1, 841, 278, 1318), (-1, 841, 279, 1318), (-1, 840, 280, 1319), (-1, 839, 281, 1320), (-1, 839, 282, 1320), (-1, 838, 283, 1321), (-1, 837, 284, 1322), (-1, 837, 285, 1322), (-1, 836, 286, 1323), (-1, 835, 287, 1324), (-1, 835, 288, 1324), (-1, 834, 289, 1325), (-1, 833, 290, 1326), (-1, 833, 291, 1326), (-1, 832, 292, 1327), (-1, 831, 293, 1328), (-1, 831, 294, 1328), (-1, 830, 295, 1329), (-1, 829, 296, 1330), (-1, 828, 297, 1331), (-1, 828, 298, 1331), (-1, 827, 299, 1332), (-1, 826, 300, 1333), (-1, 826, 301, 1333), (-1, 825, 302, 1334), (-1, 824, 303, 1335), (-1, 824, 304, 1335), (-1, 823, 305, 1336), (-1, 822, 306, 1337), (-1, 822, 307, 1337), (-1, 821, 308, 1338), (-1, 820, 309, 1339), (-1, 820, 310, 1339), (-1, 819, 311, 1340), (-1, 818, 312, 1341), (-1, 818, 313, 1341), (-1, 817, 314, 1342), (-1, 816, 315, 1343), (-1, 815, 316, 1344), (-1, 815, 317, 1344), (-1, 814, 318, 1345), (-1, 813, 319, 1346), (-1, 813, 320, 1346), (-1, 812, 321, 1347), (-1, 811, 322, 1348), (-1, 811, 323, 1348), (-1, 810, 324, 1349), (-1, 809, 325, 1350), (-1, 809, 326, 1350), (-1, 808, 327, 1351), (-1, 807, 328, 1352), (-1, 807, 329, 1352), (-1, 806, 330, 1353), (-1, 805, 331, 1354), (-1, 805, 332, 1354), (-1, 804, 333, 1355), (-1, 803, 334, 1356), (-1, 802, 335, 1357), (-1, 802, 336, 1357), (-1, 801, 337, 1358), (-1, 800, 338, 1359), (-1, 800, 339, 1359), (-1, 799, 340, 1360), (-1, 798, 341, 1361), (-1, 798, 342, 1361), (-1, 797, 343, 1362), (-1, 796, 344, 1363), (-1, 796, 345, 1363), (-1, 795, 346, 1364), (-1, 794, 347, 1365), (-1, 794, 348, 1365), (-1, 793, 349, 1366), (-1, 792, 350, 1367), (-1, 792, 351, 1367), (-1, 791, 352, 1368), (-1, 790, 353, 1369), (-1, 789, 354, 1370), (-1, 789, 355, 1370), (-1, 788, 356, 1371), (-1, 787, 357, 1372), (-1, 787, 358, 1372), (-1, 786, 359, 1373), (-1, 785, 360, 1374), (-1, 785, 361, 1374), (-1, 784, 362, 1375), (-1, 783, 363, 1376), (-1, 783, 364, 1376), (-1, 782, 365, 1377), (-1, 781, 366, 1378), (-1, 781, 367, 1378), (-1, 780, 368, 1379), (-1, 779, 369, 1380), (-1, 779, 370, 1380), (-1, 778, 371, 1381), (-1, 777, 372, 1382), (-1, 777, 373, 1382), (-1, 776, 374, 1383), (-1, 775, 375, 1384), (-1, 774, 376, 1385), (-1, 774, 377, 1385), (-1, 773, 378, 1386), (-1, 772, 379, 1387), (-1, 772, 380, 1387), (-1, 771, 381, 1388), (-1, 770, 382, 1389), (-1, 770, 383, 1389), (-1, 769, 384, 1390), (-1, 768, 385, 1391), (-1, 768, 386, 1391), (-1, 767, 387, 1392), (-1, 766, 388, 1393), (-1, 766, 389, 1393), (-1, 765, 390, 1394), (-1, 764, 391, 1395), (-1, 764, 392, 1395), (-1, 763, 393, 1396), (-1, 762, 394, 1397), (-1, 761, 395, 1398), (-1, 761, 396, 1398), (-1, 760, 397, 1399), (-1, 759, 398, 1400), (-1, 759, 399, 1400), (-1, 758, 400, 1401), (-1, 757, 401, 1402), (-1, 757, 402, 1402), (-1, 756, 403, 1403), (-1, 755, 404, 1404), (-1, 755, 405, 1404), (-1, 754, 406, 1405), (-1, 753, 407, 1406), (-1, 753, 408, 1406), (-1, 752, 409, 1407), (-1, 751, 410, 1408), (-1, 751, 411, 1408), (-1, 750, 412, 1409), (-1, 749, 413, 1410), (-1, 748, 414, 1411), (-1, 748, 415, 1411), (-1, 747, 416, 1412), (-1, 746, 417, 1413), (-1, 746, 418, 1413), (-1, 745, 419, 1414), (-1, 744, 420, 1415), (-1, 744, 421, 1415), (-1, 743, 422, 1416), (-1, 742, 423, 1417), (-1, 742, 424, 1417), (-1, 741, 425, 1418), (-1, 740, 426, 1419), (-1, 740, 427, 1419), (-1, 739, 428, 1420), (-1, 738, 429, 1421), (-1, 738, 430, 1421), (-1, 737, 431, 1422), (-1, 736, 432, 1423), (-1, 735, 433, 1424), (-1, 735, 434, 1424), (-1, 734, 435, 1425), (-1, 733, 436, 1426), (-1, 733, 437, 1426), (-1, 732, 438, 1427), (-1, 731, 439, 1428), (-1, 731, 440, 1428), (-1, 730, 441, 1429), (-1, 729, 442, 1430), (-1, 729, 443, 1430), (-1, 728, 444, 1431), (-1, 727, 445, 1432), (-1, 727, 446, 1432), (-1, 726, 447, 1433), (-1, 725, 448, 1434), (-1, 725, 449, 1434), (-1, 724, 450, 1435), (-1, 723, 451, 1436), (-1, 722, 452, 1437), (-1, 722, 453, 1437), (-1, 721, 454, 1438), (-1, 720, 455, 1439), (-1, 720, 456, 1439), (-1, 719, 457, 1440), (-1, 718, 458, 1441), (-1, 718, 459, 1441), (-1, 717, 460, 1442), (-1, 716, 461, 1443), (-1, 716, 462, 1443), (-1, 715, 463, 1444), (-1, 714, 464, 1445), (-1, 714, 465, 1445), (-1, 713, 466, 1446), (-1, 712, 467, 1447), (-1, 712, 468, 1447), (-1, 711, 469, 1448), (-1, 710, 470, 1449), (-1, 710, 471, 1449), (-1, 709, 472, 1450), (-1, 708, 473, 1451), (-1, 707, 474, 1452), (-1, 707, 475, 1452), (-1, 706, 476, 1453), (-1, 705, 477, 1454), (-1, 705, 478, 1454), (-1, 704, 479, 1455), (-1, 703, 480, 1456), (-1, 703, 481, 1456), (-1, 702, 482, 1457), (-1, 701, 483, 1458), (-1, 701, 484, 1458), (-1, 700, 485, 1459), (-1, 699, 486, 1460), (-1, 699, 487, 1460), (-1, 698, 488, 1461), (-1, 697, 489, 1462), (-1, 697, 490, 1462), (-1, 696, 491, 1463), (-1, 695, 492, 1464), (-1, 694, 493, 1465), (-1, 694, 494, 1465), (-1, 693, 495, 1466), (-1, 692, 496, 1467), (-1, 692, 497, 1467), (-1, 691, 498, 1468), (-1, 690, 499, 1469), (-1, 690, 500, 1469), (-1, 673, 501, 1486), (-1, 665, 502, 1494), (-1, 665, 503, 1494), (-1, 665, 504, 1494), (-1, 666, 505, 1493), (-1, 666, 506, 1493), (-1, 666, 507, 1493), (-1, 666, 508, 1493), (-1, 667, 509, 1492), (-1, 667, 510, 1492), (-1, 667, 511, 1492), (-1, 667, 512, 1492), (-1, 668, 513, 1491), (-1, 668, 514, 1491), (-1, 668, 515, 1491), (-1, 668, 516, 1491), (-1, 669, 517, 1490), (-1, 669, 518, 1490), (-1, 669, 519, 1490), (-1, 669, 520, 1490), (-1, 669, 521, 1490), (-1, 670, 522, 1489), (-1, 670, 523, 1489), (-1, 670, 524, 1489), (-1, 670, 525, 1489), (-1, 671, 526, 687), (-1, 1363, 526, 796), (-1, 671, 527, 685), (-1, 1367, 527, 792), (-1, 671, 528, 684), (-1, 1368, 528, 791), (-1, 671, 529, 682), (-1, 1368, 529, 44), (-1, 1422, 529, 737), (-1, 672, 530, 680), (-1, 1369, 530, 39), (-1, 1429, 530, 730), (-1, 672, 531, 679), (-1, 1370, 531, 34), (-1, 1430, 531, 729), (-1, 672, 532, 677), (-1, 1371, 532, 28), (-1, 1430, 532, 729), (-1, 672, 533, 676), (-1, 1372, 533, 23), (-1, 1431, 533, 728), (-1, 672, 534, 674), (-1, 1373, 534, 18), (-1, 1431, 534, 728), (-1, 673, 535, 672), (-1, 1373, 535, 13), (-1, 1432, 535, 727), (-1, 673, 536, 670), (-1, 1374, 536, 8), (-1, 1432, 536, 727), (-1, 673, 537, 669), (-1, 1375, 537, 3), (-1, 1433, 537, 726), (-1, 673, 538, 667), (-1, 1433, 538, 726), (-1, 674, 539, 665), (-1, 1434, 539, 725), (-1, 674, 540, 663), (-1, 1434, 540, 725), (-1, 674, 541, 662), (-1, 1435, 541, 724), (-1, 674, 542, 661), (-1, 1435, 542, 724), (-1, 675, 543, 658), (-1, 1436, 543, 723), (-1, 675, 544, 657), (-1, 1436, 544, 723), (-1, 675, 545, 655), (-1, 1436, 545, 723), (-1, 675, 546, 654), (-1, 1437, 546, 722), (-1, 676, 547, 651), (-1, 1437, 547, 722), (-1, 676, 548, 650), (-1, 1437, 548, 722), (-1, 676, 549, 648), (-1, 1437, 549, 722), (-1, 676, 550, 647), (-1, 1438, 550, 721), (-1, 677, 551, 644), (-1, 1438, 551, 721), (-1, 677, 552, 643), (-1, 1438, 552, 721), (-1, 678, 553, 641), (-1, 1438, 553, 721), (-1, 678, 554, 639), (-1, 1439, 554, 720), (-1, 678, 555, 638), (-1, 1439, 555, 720), (-1, 679, 556, 635), (-1, 1439, 556, 720), (-1, 679, 557, 634), (-1, 1439, 557, 720), (-1, 680, 558, 631), (-1, 1440, 558, 719), (-1, 680, 559, 630), (-1, 1440, 559, 719), (-1, 680, 560, 628), (-1, 1440, 560, 719), (-1, 681, 561, 626), (-1, 1440, 561, 719), (-1, 681, 562, 624), (-1, 1441, 562, 718), (-1, 682, 563, 622), (-1, 1441, 563, 718), (-1, 682, 564, 621), (-1, 1441, 564, 718), (-1, 682, 565, 619), (-1, 1441, 565, 718), (-1, 683, 566, 617), (-1, 1442, 566, 717), (-1, 683, 567, 615), (-1, 1442, 567, 717), (-1, 684, 568, 613), (-1, 1442, 568, 717), (-1, 684, 569, 611), (-1, 1442, 569, 717), (-1, 684, 570, 610), (-1, 1443, 570, 716), (-1, 685, 571, 607), (-1, 1443, 571, 716), (-1, 685, 572, 606), (-1, 1443, 572, 716), (-1, 686, 573, 603), (-1, 1444, 573, 715), (-1, 686, 574, 602), (-1, 1444, 574, 715), (-1, 686, 575, 601), (-1, 1444, 575, 715), (-1, 687, 576, 598), (-1, 1444, 576, 715), (-1, 687, 577, 597), (-1, 1445, 577, 714), (-1, 688, 578, 594), (-1, 1445, 578, 714), (-1, 688, 579, 593), (-1, 1445, 579, 714), (-1, 689, 580, 590), (-1, 1446, 580, 713), (-1, 689, 581, 589), (-1, 1446, 581, 713), (-1, 689, 582, 587), (-1, 1446, 582, 713), (-1, 690, 583, 585), (-1, 1447, 583, 712), (-1, 690, 584, 583), (-1, 1447, 584, 712), (-1, 691, 585, 581), (-1, 1447, 585, 712), (-1, 691, 586, 580), (-1, 1447, 586, 712), (-1, 692, 587, 577), (-1, 1448, 587, 711), (-1, 692, 588, 576), (-1, 1448, 588, 711), (-1, 692, 589, 574), (-1, 1448, 589, 711), (-1, 693, 590, 573), (-1, 1449, 590, 710), (-1, 693, 591, 573), (-1, 1449, 591, 710), (-1, 694, 592, 572), (-1, 1449, 592, 710), (-1, 694, 593, 572), (-1, 1449, 593, 710), (-1, 695, 594, 570), (-1, 1450, 594, 709), (-1, 695, 595, 570), (-1, 1450, 595, 709), (-1, 695, 596, 570), (-1, 1450, 596, 709), (-1, 695, 597, 570), (-1, 1450, 597, 709), (-1, 696, 598, 569), (-1, 1450, 598, 709), (-1, 696, 599, 569), (-1, 1450, 599, 709), (-1, 696, 600, 570), (-1, 1450, 600, 709), (-1, 696, 601, 570), (-1, 1450, 601, 709), (-1, 697, 602, 570), (-1, 1450, 602, 709), (-1, 697, 603, 570), (-1, 1450, 603, 709), (-1, 697, 604, 571), (-1, 1450, 604, 709), (-1, 697, 605, 571), (-1, 1450, 605, 709), (-1, 698, 606, 571), (-1, 1450, 606, 709), (-1, 698, 607, 571), (-1, 1450, 607, 709), (-1, 698, 608, 571), (-1, 1450, 608, 709), (-1, 698, 609, 572), (-1, 1450, 609, 709), (-1, 699, 610, 571), (-1, 1450, 610, 709), (-1, 699, 611, 572), (-1, 1451, 611, 708), (-1, 699, 612, 572), (-1, 1451, 612, 708), (-1, 699, 613, 573), (-1, 1451, 613, 708), (-1, 700, 614, 572), (-1, 1451, 614, 708), (-1, 700, 615, 573), (-1, 1452, 615, 707), (-1, 700, 616, 573), (-1, 1452, 616, 707), (-1, 700, 617, 573), (-1, 1452, 617, 707), (-1, 701, 618, 573), (-1, 1453, 618, 706), (-1, 701, 619, 573), (-1, 1453, 619, 706), (-1, 701, 620, 574), (-1, 1453, 620, 706), (-1, 702, 621, 573), (-1, 1453, 621, 706), (-1, 702, 622, 574), (-1, 1454, 622, 705), (-1, 703, 623, 573), (-1, 1454, 623, 705), (-1, 703, 624, 574), (-1, 1454, 624, 705), (-1, 704, 625, 573), (-1, 1455, 625, 704), (-1, 704, 626, 574), (-1, 1455, 626, 704), (-1, 705, 627, 573), (-1, 1455, 627, 704), (-1, 705, 628, 573), (-1, 1456, 628, 703), (-1, 706, 629, 573), (-1, 1456, 629, 703), (-1, 706, 630, 573), (-1, 1456, 630, 703), (-1, 707, 631, 573), (-1, 1456, 631, 703), (-1, 707, 632, 573), (-1, 1457, 632, 702), (-1, 708, 633, 573), (-1, 1457, 633, 702), (-1, 708, 634, 573), (-1, 1457, 634, 702), (-1, 709, 635, 573), (-1, 1458, 635, 701), (-1, 709, 636, 573), (-1, 1458, 636, 701), (-1, 710, 637, 572), (-1, 1458, 637, 701), (-1, 710, 638, 573), (-1, 1458, 638, 701), (-1, 711, 639, 572), (-1, 1459, 639, 700), (-1, 711, 640, 573), (-1, 1459, 640, 700), (-1, 712, 641, 572), (-1, 1459, 641, 700), (-1, 712, 642, 573), (-1, 1460, 642, 699), (-1, 713, 643, 572), (-1, 1460, 643, 699), (-1, 713, 644, 573), (-1, 1460, 644, 699), (-1, 714, 645, 572), (-1, 1460, 645, 699), (-1, 714, 646, 572), (-1, 1461, 646, 698), (-1, 715, 647, 572), (-1, 1461, 647, 698), (-1, 715, 648, 572), (-1, 1461, 648, 698), (-1, 716, 649, 572), (-1, 1461, 649, 698), (-1, 716, 650, 572), (-1, 1462, 650, 697), (-1, 717, 651, 572), (-1, 1462, 651, 697), (-1, 717, 652, 572), (-1, 1462, 652, 697), (-1, 718, 653, 572), (-1, 1463, 653, 696), (-1, 718, 654, 572), (-1, 1463, 654, 696), (-1, 719, 655, 571), (-1, 1463, 655, 696), (-1, 719, 656, 572), (-1, 1463, 656, 696), (-1, 720, 657, 571), (-1, 1464, 657, 695), (-1, 720, 658, 572), (-1, 1464, 658, 695), (-1, 721, 659, 571), (-1, 1464, 659, 695), (-1, 721, 660, 572), (-1, 1464, 660, 695), (-1, 722, 661, 571), (-1, 1465, 661, 694), (-1, 723, 662, 571), (-1, 1465, 662, 694), (-1, 725, 663, 569), (-1, 1465, 663, 694), (-1, 726, 664, 569), (-1, 1466, 664, 693), (-1, 727, 665, 568), (-1, 1466, 665, 693), (-1, 729, 666, 566), (-1, 1466, 666, 693), (-1, 730, 667, 566), (-1, 1466, 667, 693), (-1, 731, 668, 565), (-1, 1467, 668, 692), (-1, 733, 669, 564), (-1, 1467, 669, 692), (-1, 735, 670, 562), (-1, 1467, 670, 692), (-1, 737, 671, 561), (-1, 1467, 671, 692), (-1, 739, 672, 559), (-1, 1468, 672, 691), (-1, 741, 673, 558), (-1, 1468, 673, 691), (-1, 743, 674, 556), (-1, 1468, 674, 691), (-1, 743, 675, 556), (-1, 1469, 675, 690), (-1, 744, 676, 556), (-1, 1469, 676, 690), (-1, 744, 677, 503), (-1, 1249, 677, 51), (-1, 1469, 677, 690), (-1, 745, 678, 500), (-1, 1251, 678, 50), (-1, 1469, 678, 690), (-1, 746, 679, 497), (-1, 1253, 679, 48), (-1, 1470, 679, 689), (-1, 746, 680, 495), (-1, 1255, 680, 47), (-1, 1470, 680, 689), (-1, 747, 681, 493), (-1, 1257, 681, 45), (-1, 1470, 681, 689), (-1, 747, 682, 491), (-1, 1259, 682, 44), (-1, 1470, 682, 689), (-1, 748, 683, 488), (-1, 1261, 683, 42), (-1, 1471, 683, 688), (-1, 748, 684, 487), (-1, 1264, 684, 39), (-1, 1471, 684, 688), (-1, 749, 685, 484), (-1, 1266, 685, 38), (-1, 1471, 685, 688), (-1, 750, 686, 481), (-1, 1268, 686, 36), (-1, 1470, 686, 689), (-1, 750, 687, 479), (-1, 1270, 687, 35), (-1, 1470, 687, 689), (-1, 751, 688, 472), (-1, 1272, 688, 33), (-1, 1469, 688, 690), (-1, 751, 689, 462), (-1, 1274, 689, 32), (-1, 1469, 689, 690), (-1, 752, 690, 451), (-1, 1276, 690, 30), (-1, 1469, 690, 690), (-1, 753, 691, 440), (-1, 1279, 691, 28), (-1, 1468, 691, 691), (-1, 753, 692, 429), (-1, 1281, 692, 26), (-1, 1468, 692, 691), (-1, 754, 693, 418), (-1, 1283, 693, 24), (-1, 1467, 693, 692), (-1, 754, 694, 408), (-1, 1285, 694, 23), (-1, 1467, 694, 692), (-1, 755, 695, 397), (-1, 1287, 695, 21), (-1, 1467, 695, 692), (-1, 755, 696, 386), (-1, 1289, 696, 20), (-1, 1466, 696, 693), (-1, 756, 697, 375), (-1, 1291, 697, 18), (-1, 1466, 697, 693), (-1, 757, 698, 364), (-1, 1293, 698, 17), (-1, 1465, 698, 694), (-1, 757, 699, 353), (-1, 1294, 699, 16), (-1, 1465, 699, 694), (-1, 758, 700, 342), (-1, 1295, 700, 16), (-1, 1465, 700, 694), (-1, 758, 701, 332), (-1, 1296, 701, 15), (-1, 1465, 701, 694), (-1, 759, 702, 321), (-1, 1297, 702, 15), (-1, 1465, 702, 694), (-1, 760, 703, 309), (-1, 1299, 703, 13), (-1, 1465, 703, 694), (-1, 760, 704, 299), (-1, 1300, 704, 12), (-1, 1465, 704, 694), (-1, 761, 705, 288), (-1, 1301, 705, 12), (-1, 1465, 705, 694), (-1, 761, 706, 170), (-1, 933, 706, 106), (-1, 1302, 706, 11), (-1, 1465, 706, 694), (-1, 762, 707, 168), (-1, 935, 707, 96), (-1, 1303, 707, 11), (-1, 1465, 707, 694), (-1, 762, 708, 167), (-1, 937, 708, 89), (-1, 1304, 708, 10), (-1, 1465, 708, 694), (-1, 763, 709, 166), (-1, 940, 709, 80), (-1, 1306, 709, 9), (-1, 1465, 709, 694), (-1, 764, 710, 164), (-1, 942, 710, 73), (-1, 1309, 710, 6), (-1, 1465, 710, 694), (-1, 764, 711, 163), (-1, 944, 711, 66), (-1, 1311, 711, 5), (-1, 1465, 711, 694), (-1, 765, 712, 161), (-1, 946, 712, 58), (-1, 1314, 712, 2), (-1, 1465, 712, 162), (-1, 1629, 712, 530), (-1, 765, 713, 159), (-1, 948, 713, 51), (-1, 1465, 713, 160), (-1, 1631, 713, 528), (-1, 766, 714, 156), (-1, 948, 714, 46), (-1, 1465, 714, 157), (-1, 1632, 714, 527), (-1, 767, 715, 152), (-1, 949, 715, 39), (-1, 1465, 715, 154), (-1, 1634, 715, 525), (-1, 767, 716, 150), (-1, 950, 716, 33), (-1, 1464, 716, 153), (-1, 1635, 716, 524), (-1, 768, 717, 146), (-1, 950, 717, 28), (-1, 1464, 717, 150), (-1, 1637, 717, 522), (-1, 768, 718, 144), (-1, 951, 718, 21), (-1, 1463, 718, 148), (-1, 1637, 718, 522), (-1, 769, 719, 140), (-1, 952, 719, 15), (-1, 1463, 719, 146), (-1, 1638, 719, 521), (-1, 769, 720, 138), (-1, 952, 720, 10), (-1, 1462, 720, 144), (-1, 1638, 720, 521), (-1, 770, 721, 134), (-1, 953, 721, 3), (-1, 1462, 721, 141), (-1, 1638, 721, 521), (-1, 771, 722, 131), (-1, 1461, 722, 140), (-1, 1639, 722, 520), (-1, 771, 723, 128), (-1, 1461, 723, 138), (-1, 1639, 723, 520), (-1, 772, 724, 125), (-1, 1460, 724, 136), (-1, 1639, 724, 520), (-1, 772, 725, 122), (-1, 1460, 725, 134), (-1, 1640, 725, 519), (-1, 773, 726, 119), (-1, 1459, 726, 132), (-1, 1640, 726, 519), (-1, 776, 727, 112), (-1, 1459, 727, 130), (-1, 1641, 727, 518), (-1, 780, 728, 103), (-1, 1458, 728, 129), (-1, 1641, 728, 518), (-1, 784, 729, 93), (-1, 1456, 729, 128), (-1, 1641, 729, 518), (-1, 788, 730, 84), (-1, 1455, 730, 127), (-1, 1642, 730, 517), (-1, 792, 731, 77), (-1, 1454, 731, 125), (-1, 1642, 731, 517), (-1, 796, 732, 71), (-1, 1452, 732, 125), (-1, 1642, 732, 517), (-1, 800, 733, 66), (-1, 1451, 733, 124), (-1, 1643, 733, 516), (-1, 804, 734, 60), (-1, 1450, 734, 122), (-1, 1643, 734, 516), (-1, 808, 735, 54), (-1, 1448, 735, 122), (-1, 1643, 735, 516), (-1, 813, 736, 48), (-1, 1447, 736, 121), (-1, 1644, 736, 515), (-1, 817, 737, 42), (-1, 1445, 737, 121), (-1, 1644, 737, 515), (-1, 821, 738, 37), (-1, 1443, 738, 121), (-1, 1644, 738, 515), (-1, 825, 739, 31), (-1, 1441, 739, 121), (-1, 1645, 739, 514), (-1, 829, 740, 26), (-1, 1439, 740, 121), (-1, 1645, 740, 514), (-1, 833, 741, 20), (-1, 1438, 741, 120), (-1, 1645, 741, 514), (-1, 837, 742, 14), (-1, 1436, 742, 120), (-1, 1646, 742, 513), (-1, 841, 743, 9), (-1, 1434, 743, 120), (-1, 1646, 743, 513), (-1, 845, 744, 3), (-1, 1432, 744, 120), (-1, 1647, 744, 512), (-1, 1431, 745, 119), (-1, 1647, 745, 512), (-1, 1429, 746, 119), (-1, 1647, 746, 512), (-1, 1427, 747, 119), (-1, 1648, 747, 511), (-1, 1425, 748, 119), (-1, 1648, 748, 511), (-1, 1423, 749, 119), (-1, 1648, 749, 511), (-1, 1422, 750, 119), (-1, 1649, 750, 510), (-1, 1420, 751, 119), (-1, 1649, 751, 510), (-1, 1418, 752, 119), (-1, 1649, 752, 510), (-1, 1416, 753, 119), (-1, 1650, 753, 509), (-1, 1414, 754, 119), (-1, 1650, 754, 509), (-1, 1413, 755, 118), (-1, 1650, 755, 509), (-1, 1411, 756, 118), (-1, 1651, 756, 508), (-1, 1409, 757, 118), (-1, 1651, 757, 508), (-1, 1407, 758, 118), (-1, 1651, 758, 508), (-1, 1405, 759, 118), (-1, 1652, 759, 507), (-1, 1404, 760, 117), (-1, 1652, 760, 507), (-1, 1402, 761, 117), (-1, 1653, 761, 506), (-1, 1400, 762, 117), (-1, 1653, 762, 506), (-1, 1398, 763, 117), (-1, 1653, 763, 506), (-1, 1397, 764, 117), (-1, 1654, 764, 505), (-1, 1395, 765, 118), (-1, 1654, 765, 505), (-1, 1393, 766, 119), (-1, 1654, 766, 505), (-1, 1391, 767, 119), (-1, 1655, 767, 504), (-1, 1389, 768, 120), (-1, 1655, 768, 504), (-1, 1388, 769, 120), (-1, 1655, 769, 504), (-1, 1390, 770, 117), (-1, 1656, 770, 503), (-1, 1392, 771, 114), (-1, 1656, 771, 503), (-1, 1394, 772, 110), (-1, 1656, 772, 503), (-1, 1396, 773, 107), (-1, 1657, 773, 502), (-1, 1399, 774, 103), (-1, 1657, 774, 502), (-1, 1401, 775, 100), (-1, 1657, 775, 502), (-1, 1403, 776, 97), (-1, 1658, 776, 501), (-1, 1405, 777, 93), (-1, 1658, 777, 501), (-1, 1408, 778, 89), (-1, 1659, 778, 500), (-1, 1410, 779, 86), (-1, 1659, 779, 500), (-1, 1412, 780, 82), (-1, 1659, 780, 500), (-1, 1414, 781, 78), (-1, 1660, 781, 499), (-1, 1417, 782, 74), (-1, 1660, 782, 499), (-1, 1419, 783, 70), (-1, 1660, 783, 499), (-1, 1421, 784, 67), (-1, 1661, 784, 498), (-1, 1423, 785, 63), (-1, 1661, 785, 498), (-1, 1426, 786, 58), (-1, 1661, 786, 498), (-1, 1428, 787, 55), (-1, 1662, 787, 497), (-1, 1430, 788, 52), (-1, 1662, 788, 497), (-1, 1432, 789, 48), (-1, 1662, 789, 497), (-1, 1434, 790, 45), (-1, 1663, 790, 496), (-1, 1437, 791, 41), (-1, 1663, 791, 496), (-1, 1439, 792, 37), (-1, 1663, 792, 496), (-1, 1441, 793, 34), (-1, 1664, 793, 495), (-1, 1443, 794, 31), (-1, 1664, 794, 495), (-1, 1446, 795, 26), (-1, 1665, 795, 494), (-1, 1448, 796, 23), (-1, 1665, 796, 494), (-1, 1450, 797, 20), (-1, 1665, 797, 494), (-1, 1452, 798, 16), (-1, 1666, 798, 493), (-1, 1455, 799, 12), (-1, 1666, 799, 493), (-1, 1457, 800, 9), (-1, 1666, 800, 493), (-1, 1459, 801, 5), (-1, 1667, 801, 492), (-1, 1461, 802, 2), (-1, 1667, 802, 492), (-1, 1668, 803, 491), (-1, 1668, 804, 491), (-1, 1669, 805, 490), (-1, 1669, 806, 490), (-1, 1670, 807, 489), (-1, 1670, 808, 489), (-1, 1671, 809, 488), (-1, 1671, 810, 488), (-1, 1672, 811, 487), (-1, 1672, 812, 487), (-1, 1673, 813, 486), (-1, 1673, 814, 486), (-1, 1674, 815, 485), (-1, 1674, 816, 485), (-1, 1675, 817, 484), (-1, 1675, 818, 484), (-1, 1676, 819, 483), (-1, 1676, 820, 483), (-1, 1677, 821, 482), (-1, 1677, 822, 482), (-1, 1678, 823, 481), (-1, 1678, 824, 481), (-1, 1679, 825, 480), (-1, 1680, 826, 479), (-1, 1680, 827, 479), (-1, 1681, 828, 478), (-1, 1681, 829, 478), (-1, 1682, 830, 477), (-1, 1682, 831, 477), (-1, 1683, 832, 476), (-1, 1683, 833, 476), (-1, 1684, 834, 475), (-1, 1684, 835, 475), (-1, 1685, 836, 474), (-1, 1685, 837, 474), (-1, 1686, 838, 473), (-1, 1686, 839, 473), (-1, 1687, 840, 472), (-1, 1687, 841, 472), (-1, 1688, 842, 471), (-1, 1688, 843, 471), (-1, 1689, 844, 470), (-1, 1689, 845, 470), (-1, 1690, 846, 469), (-1, 1690, 847, 469), (-1, 1691, 848, 468), (-1, 1692, 849, 467), (-1, 1692, 850, 467), (-1, 1693, 851, 466), (-1, 1693, 852, 466), (-1, 1694, 853, 465), (-1, 1694, 854, 465), (-1, 1695, 855, 464), (-1, 1695, 856, 464), (-1, 1696, 857, 463), (-1, 1696, 858, 463), (-1, 1697, 859, 462), (-1, 1697, 860, 462), (-1, 1698, 861, 461), (-1, 1698, 862, 461), (-1, 1699, 863, 460), (-1, 1699, 864, 460), (-1, 1700, 865, 459), (-1, 1700, 866, 459), (-1, 1701, 867, 458), (-1, 1701, 868, 458), (-1, 1702, 869, 457), (-1, 1702, 870, 457), (-1, 1703, 871, 456), (-1, 1703, 872, 456), (-1, 1702, 873, 457), (-1, 1702, 874, 457), (-1, 1701, 875, 458), (-1, 1701, 876, 458), (-1, 1700, 877, 459), (-1, 1700, 878, 63), (-1, 1766, 878, 393), (-1, 1700, 879, 59), (-1, 1767, 879, 392), (-1, 1699, 880, 57), (-1, 1768, 880, 391), (-1, 1699, 881, 56), (-1, 1769, 881, 390), (-1, 1698, 882, 56), (-1, 1770, 882, 389), (-1, 1698, 883, 56), (-1, 1771, 883, 388), (-1, 1697, 884, 56), (-1, 1772, 884, 387), (-1, 1697, 885, 55), (-1, 1773, 885, 386), (-1, 1697, 886, 54), (-1, 1774, 886, 385), (-1, 1698, 887, 52), (-1, 1775, 887, 384), (-1, 1698, 888, 51), (-1, 1776, 888, 383), (-1, 1699, 889, 49), (-1, 1777, 889, 382), (-1, 1699, 890, 49), (-1, 1778, 890, 381), (-1, 1700, 891, 47), (-1, 1778, 891, 381), (-1, 1700, 892, 46), (-1, 1779, 892, 380), (-1, 1700, 893, 45), (-1, 1780, 893, 379), (-1, 1701, 894, 43), (-1, 1781, 894, 378), (-1, 1701, 895, 42), (-1, 1782, 895, 377), (-1, 1702, 896, 40), (-1, 1783, 896, 376), (-1, 1702, 897, 39), (-1, 1784, 897, 375), (-1, 1702, 898, 38), (-1, 1785, 898, 374), (-1, 1703, 899, 37), (-1, 1786, 899, 373), (-1, 1703, 900, 36), (-1, 1787, 900, 372), (-1, 1704, 901, 34), (-1, 1788, 901, 371), (-1, 1704, 902, 33), (-1, 1789, 902, 370), (-1, 1705, 903, 31), (-1, 1790, 903, 369), (-1, 1705, 904, 30), (-1, 1791, 904, 368), (-1, 1706, 905, 28), (-1, 1792, 905, 367), (-1, 1708, 906, 24), (-1, 1793, 906, 366), (-1, 1709, 907, 22), (-1, 1794, 907, 365), (-1, 1711, 908, 19), (-1, 1795, 908, 364), (-1, 1712, 909, 16), (-1, 1796, 909, 363), (-1, 1714, 910, 13), (-1, 1797, 910, 362), (-1, 1715, 911, 11), (-1, 1798, 911, 361), (-1, 1716, 912, 9), (-1, 1799, 912, 360), (-1, 1718, 913, 6), (-1, 1800, 913, 359), (-1, 1719, 914, 4), (-1, 1801, 914, 358), (-1, 1721, 915, 1), (-1, 1802, 915, 357), (-1, 1803, 916, 356), (-1, 1803, 917, 356), (-1, 1804, 918, 355), (-1, 1805, 919, 354), (-1, 1806, 920, 353), (-1, 1807, 921, 352), (-1, 1808, 922, 351), (-1, 1809, 923, 350), (-1, 1810, 924, 349), (-1, 1811, 925, 348), (-1, 1812, 926, 347), (-1, 1813, 927, 346), (-1, 1814, 928, 345), (-1, 1815, 929, 344), (-1, 1816, 930, 343), (-1, 1817, 931, 342), (-1, 1818, 932, 341), (-1, 1819, 933, 340), (-1, 1820, 934, 339), (-1, 1821, 935, 338), (-1, 1822, 936, 337), (-1, 1823, 937, 336), (-1, 1824, 938, 335), (-1, 1825, 939, 334), (-1, 1826, 940, 333), (-1, 1827, 941, 332), (-1, 1828, 942, 331), (-1, 1829, 943, 330), (-1, 1829, 944, 330), (-1, 1830, 945, 329), (-1, 1831, 946, 328), (-1, 1832, 947, 327), (-1, 1833, 948, 326), (-1, 1834, 949, 325), (-1, 1835, 950, 324), (-1, 1836, 951, 323), (-1, 1837, 952, 322), (-1, 1838, 953, 321), (-1, 1839, 954, 320), (-1, 1840, 955, 319), (-1, 1841, 956, 318), (-1, 1842, 957, 317), (-1, 1843, 958, 316), (-1, 1844, 959, 315), (-1, 1845, 960, 314), (-1, 1846, 961, 313), (-1, 1847, 962, 312), (-1, 1848, 963, 311), (-1, 1849, 964, 310), (-1, 1850, 965, 309), (-1, 1851, 966, 308), (-1, 1852, 967, 307), (-1, 1853, 968, 306), (-1, 1854, 969, 305), (-1, 1854, 970, 305), (-1, 1855, 971, 304), (-1, 1856, 972, 303), (-1, 1857, 973, 302), (-1, 1858, 974, 301), (-1, 1859, 975, 300), (-1, 1860, 976, 299), (-1, 1861, 977, 298), (-1, 1862, 978, 297), (-1, 1863, 979, 296), (-1, 1864, 980, 295), (-1, 1865, 981, 294), (-1, 1866, 982, 293), (-1, 1867, 983, 292), (-1, 1868, 984, 291), (-1, 1869, 985, 290), (-1, 1870, 986, 289), (-1, 1871, 987, 288), (-1, 1872, 988, 287), (-1, 1873, 989, 286), (-1, 1874, 990, 285), (-1, 1875, 991, 284), (-1, 1876, 992, 283), (-1, 1877, 993, 282), (-1, 1878, 994, 281), (-1, 1879, 995, 280), (-1, 1880, 996, 279), (-1, 1880, 997, 279), (-1, 1881, 998, 278), (-1, 1882, 999, 277), (-1, 1883, 1000, 276), (-1, 1884, 1001, 275), (-1, 1885, 1002, 274), (-1, 1886, 1003, 273), (-1, 1887, 1004, 272), (-1, 1888, 1005, 271), (-1, 1889, 1006, 270), (-1, 1890, 1007, 269), (-1, 1891, 1008, 268), (-1, 1892, 1009, 267), (-1, 1893, 1010, 266), (-1, 1894, 1011, 265), (-1, 1895, 1012, 264), (-1, 1896, 1013, 263), (-1, 1897, 1014, 262), (-1, 1898, 1015, 261), (-1, 1899, 1016, 260), (-1, 1900, 1017, 259), (-1, 1901, 1018, 258), (-1, 1902, 1019, 257), (-1, 1903, 1020, 256), (-1, 1904, 1021, 255), (-1, 1905, 1022, 254), (-1, 1905, 1023, 254), (-1, 1906, 1024, 253), (-1, 1907, 1025, 252), (-1, 1908, 1026, 251), (-1, 1909, 1027, 250), (-1, 1910, 1028, 249), (-1, 1911, 1029, 248), (-1, 1912, 1030, 247), (-1, 1913, 1031, 246), (-1, 1914, 1032, 245), (-1, 1915, 1033, 244), (-1, 1916, 1034, 243), (-1, 1917, 1035, 242), (-1, 1918, 1036, 241), (-1, 1917, 1037, 242), (-1, 1917, 1038, 242), (-1, 1916, 1039, 243), (-1, 1916, 1040, 243), (-1, 1915, 1041, 244), (-1, 1915, 1042, 244), (-1, 1914, 1043, 245), (-1, 1914, 1044, 245), (-1, 1913, 1045, 246), (-1, 1913, 1046, 246), (-1, 1912, 1047, 247), (-1, 1911, 1048, 248), (-1, 1910, 1049, 249), (-1, 1910, 1050, 249), (-1, 1909, 1051, 250), (-1, 1908, 1052, 251), (-1, 1907, 1053, 252), (-1, 1906, 1054, 253), (-1, 1906, 1055, 253), (-1, 1905, 1056, 254), (-1, 1904, 1057, 255), (-1, 1903, 1058, 256), (-1, 1903, 1059, 256), (-1, 1902, 1060, 257), (-1, 1901, 1061, 258), (-1, 1900, 1062, 259), (-1, 1899, 1063, 260), (-1, 1899, 1064, 260), (-1, 1898, 1065, 261), (-1, 1897, 1066, 262), (-1, 1895, 1067, 264), (-1, 1894, 1068, 265), (-1, 1892, 1069, 267), (-1, 1891, 1070, 268), (-1, 1889, 1071, 270), (-1, 1887, 1072, 272), (-1, 1886, 1073, 273), (-1, 1884, 1074, 275), (-1, 1883, 1075, 276), (-1, 1881, 1076, 278), (-1, 1879, 1077, 280), (-1, 1878, 1078, 281), (-1, 1876, 1079, 283), (-1, 1874, 1080, 285), (-1, 1873, 1081, 286), (-1, 1871, 1082, 288), (-1, 1869, 1083, 290), (-1, 1856, 1084, 303), (-1, 1855, 1085, 304), (-1, 1854, 1086, 305), (-1, 1854, 1087, 305), (-1, 1853, 1088, 306), (-1, 1852, 1089, 307), (-1, 1851, 1090, 308), (-1, 1851, 1091, 308), (-1, 1850, 1092, 309), (-1, 1849, 1093, 310), (-1, 1848, 1094, 311), (-1, 1848, 1095, 311), (-1, 1847, 1096, 312), (-1, 1846, 1097, 313), (-1, 1845, 1098, 314), (-1, 1845, 1099, 314), (-1, 1844, 1100, 315), (-1, 1843, 1101, 316), (-1, 1842, 1102, 317), (-1, 1842, 1103, 317), (-1, 1841, 1104, 318), (-1, 1840, 1105, 319), (-1, 1839, 1106, 320), (-1, 1839, 1107, 320), (-1, 1838, 1108, 321), (-1, 1837, 1109, 322), (-1, 1836, 1110, 323), (-1, 1836, 1111, 323), (-1, 1835, 1112, 324), (-1, 1834, 1113, 325), (-1, 1835, 1114, 324), (-1, 1837, 1115, 322), (-1, 1838, 1116, 321), (-1, 1840, 1117, 319), (-1, 1841, 1118, 318), (-1, 1843, 1119, 316), (-1, 1844, 1120, 315), (-1, 1846, 1121, 313), (-1, 1847, 1122, 312), (-1, 1849, 1123, 310), (-1, 1849, 1124, 310), (-1, 1849, 1125, 310), (-1, 1849, 1126, 310), (-1, 1849, 1127, 310), (-1, 1849, 1128, 310), (-1, 1848, 1129, 311), (-1, 1848, 1130, 311), (-1, 1848, 1131, 311), (-1, 1848, 1132, 311), (-1, 1848, 1133, 311), (-1, 1848, 1134, 311), (-1, 1848, 1135, 311), (-1, 1848, 1136, 311), (-1, 1848, 1137, 311), (-1, 1848, 1138, 311), (-1, 1848, 1139, 311), (-1, 1848, 1140, 311), (-1, 1847, 1141, 312), (-1, 1847, 1142, 312), (-1, 1847, 1143, 312), (-1, 1847, 1144, 312), (-1, 1847, 1145, 312), (-1, 1847, 1146, 312), (-1, 1847, 1147, 312), (-1, 1846, 1148, 313), (-1, 1846, 1149, 313), (-1, 1845, 1150, 314), (-1, 1845, 1151, 314), (-1, 1844, 1152, 315), (-1, 1844, 1153, 315), (-1, 1843, 1154, 316), (-1, 1843, 1155, 316), (-1, 1842, 1156, 317), (-1, 1842, 1157, 317), (-1, 1841, 1158, 318), (-1, 1841, 1159, 318), (-1, 1840, 1160, 319), (-1, 1840, 1161, 319), (-1, 1839, 1162, 320), (-1, 1839, 1163, 320), (-1, 1838, 1164, 321), (-1, 1838, 1165, 321), (-1, 1839, 1166, 320), (-1, 1840, 1167, 319), (-1, 1840, 1168, 319), (-1, 1841, 1169, 318), (-1, 1842, 1170, 317), (-1, 1843, 1171, 316), (-1, 1843, 1172, 316), (-1, 1844, 1173, 315), (-1, 1845, 1174, 314), (-1, 1846, 1175, 313), (-1, 1846, 1176, 313), (-1, 1847, 1177, 312), (-1, 1848, 1178, 311), (-1, 1849, 1179, 310), (-1, 1850, 1180, 309), (-1, 1850, 1181, 309), (-1, 1851, 1182, 308), (-1, 1852, 1183, 307), (-1, 1853, 1184, 306), (-1, 1853, 1185, 306), (-1, 1854, 1186, 305), (-1, 1855, 1187, 304), (-1, 1856, 1188, 303), (-1, 1856, 1189, 303), (-1, 1857, 1190, 302), (-1, 1858, 1191, 301), (-1, 1857, 1192, 302), (-1, 1856, 1193, 303), (-1, 1855, 1194, 304), (-1, 1854, 1195, 305), (-1, 1853, 1196, 306), (-1, 1852, 1197, 307), (-1, 1851, 1198, 308), (-1, 1850, 1199, 309), (-1, 1849, 1200, 310), (-1, 1848, 1201, 311), (-1, 1847, 1202, 312), (-1, 1846, 1203, 313), (-1, 1845, 1204, 314), (-1, 1844, 1205, 315), (-1, 1843, 1206, 316), (-1, 1842, 1207, 317), (-1, 1841, 1208, 318), (-1, 1840, 1209, 319), (-1, 1839, 1210, 320), (-1, 1838, 1211, 321), (-1, 1837, 1212, 322), (-1, 1836, 1213, 323), (-1, 1835, 1214, 324), (-1, 1834, 1215, 325), (-1, 1833, 1216, 326), (-1, 1832, 1217, 123), (-1, 1956, 1217, 203), (-1, 1831, 1218, 123), (-1, 1957, 1218, 202), (-1, 1830, 1219, 123), (-1, 1959, 1219, 200), (-1, 1829, 1220, 123), (-1, 1960, 1220, 199), (-1, 1828, 1221, 123), (-1, 1961, 1221, 198), (-1, 1827, 1222, 123), (-1, 1962, 1222, 197), (-1, 1826, 1223, 122), (-1, 1963, 1223, 196), (-1, 1825, 1224, 122), (-1, 1965, 1224, 194), (-1, 1824, 1225, 122), (-1, 1966, 1225, 193), (-1, 1823, 1226, 122), (-1, 1967, 1226, 192), (-1, 1822, 1227, 122), (-1, 1968, 1227, 191), (-1, 1821, 1228, 122), (-1, 1969, 1228, 190), (-1, 1820, 1229, 122), (-1, 1971, 1229, 188), (-1, 1819, 1230, 122), (-1, 1972, 1230, 187), (-1, 1818, 1231, 122), (-1, 1973, 1231, 186), (-1, 1817, 1232, 122), (-1, 1974, 1232, 185), (-1, 1816, 1233, 122), (-1, 1974, 1233, 185), (-1, 1815, 1234, 121), (-1, 1975, 1234, 184), (-1, 1814, 1235, 121), (-1, 1975, 1235, 184), (-1, 1813, 1236, 121), (-1, 1976, 1236, 183), (-1, 1812, 1237, 121), (-1, 1976, 1237, 183), (-1, 1811, 1238, 121), (-1, 1977, 1238, 182), (-1, 1810, 1239, 121), (-1, 1977, 1239, 182), (-1, 1809, 1240, 121), (-1, 1978, 1240, 100), (-1, 2080, 1240, 79), (-1, 1808, 1241, 121), (-1, 1978, 1241, 95), (-1, 2080, 1241, 79), (-1, 1807, 1242, 121), (-1, 1979, 1242, 88), (-1, 2080, 1242, 79), (-1, 1806, 1243, 121), (-1, 1979, 1243, 83), (-1, 2079, 1243, 80), (-1, 1805, 1244, 121), (-1, 1980, 1244, 77), (-1, 2079, 1244, 80), (-1, 1804, 1245, 121), (-1, 1980, 1245, 71), (-1, 2079, 1245, 80), (-1, 1803, 1246, 121), (-1, 1980, 1246, 66), (-1, 2079, 1246, 80), (-1, 1802, 1247, 121), (-1, 1981, 1247, 60), (-1, 2079, 1247, 80), (-1, 1801, 1248, 121), (-1, 1981, 1248, 54), (-1, 2079, 1248, 80), (-1, 1800, 1249, 121), (-1, 1981, 1249, 49), (-1, 2078, 1249, 81), (-1, 1799, 1250, 121), (-1, 1982, 1250, 43), (-1, 2078, 1250, 81), (-1, 1798, 1251, 121), (-1, 1982, 1251, 37), (-1, 2078, 1251, 81), (-1, 1798, 1252, 120), (-1, 1982, 1252, 32), (-1, 2078, 1252, 81), (-1, 1797, 1253, 120), (-1, 1983, 1253, 26), (-1, 2078, 1253, 81), (-1, 1797, 1254, 119), (-1, 1983, 1254, 20), (-1, 2078, 1254, 81), (-1, 1796, 1255, 119), (-1, 1983, 1255, 15), (-1, 2078, 1255, 81), (-1, 1796, 1256, 118), (-1, 1984, 1256, 9), (-1, 2077, 1256, 82), (-1, 1796, 1257, 117), (-1, 1984, 1257, 3), (-1, 2077, 1257, 82), (-1, 1795, 1258, 117), (-1, 2077, 1258, 82), (-1, 1795, 1259, 116), (-1, 2077, 1259, 82), (-1, 1794, 1260, 116), (-1, 2077, 1260, 82), (-1, 1794, 1261, 115), (-1, 2077, 1261, 82), (-1, 1794, 1262, 114), (-1, 2076, 1262, 83), (-1, 1793, 1263, 114), (-1, 2076, 1263, 83), (-1, 1793, 1264, 113), (-1, 2076, 1264, 83), (-1, 1793, 1265, 112), (-1, 2076, 1265, 83), (-1, 1792, 1266, 112), (-1, 2076, 1266, 83), (-1, 1792, 1267, 111), (-1, 2076, 1267, 83), (-1, 1791, 1268, 111), (-1, 2076, 1268, 83), (-1, 1791, 1269, 110), (-1, 2075, 1269, 84), (-1, 1791, 1270, 109), (-1, 2075, 1270, 84), (-1, 1790, 1271, 109), (-1, 2075, 1271, 84), (-1, 1790, 1272, 108), (-1, 2075, 1272, 84), (-1, 1789, 1273, 109), (-1, 2075, 1273, 84), (-1, 1789, 1274, 108), (-1, 2075, 1274, 84), (-1, 1789, 1275, 107), (-1, 2074, 1275, 85), (-1, 1788, 1276, 107), (-1, 2074, 1276, 85), (-1, 1788, 1277, 106), (-1, 2074, 1277, 85), (-1, 1787, 1278, 106), (-1, 2074, 1278, 85), (-1, 1787, 1279, 105), (-1, 2074, 1279, 85), (-1, 1787, 1280, 104), (-1, 2074, 1280, 85), (-1, 1786, 1281, 104), (-1, 2074, 1281, 85), (-1, 1786, 1282, 103), (-1, 2073, 1282, 86), (-1, 1786, 1283, 102), (-1, 2073, 1283, 86), (-1, 1785, 1284, 102), (-1, 2073, 1284, 86), (-1, 1785, 1285, 101), (-1, 2073, 1285, 86), (-1, 1784, 1286, 101), (-1, 2073, 1286, 86), (-1, 1784, 1287, 100), (-1, 2073, 1287, 86), (-1, 1784, 1288, 99), (-1, 2073, 1288, 86), (-1, 1783, 1289, 99), (-1, 2072, 1289, 87), (-1, 1783, 1290, 98), (-1, 2072, 1290, 87), (-1, 1782, 1291, 98), (-1, 2072, 1291, 87), (-1, 1782, 1292, 97), (-1, 2072, 1292, 87), (-1, 1782, 1293, 96), (-1, 2072, 1293, 87), (-1, 1781, 1294, 96), (-1, 2072, 1294, 87), (-1, 1781, 1295, 95), (-1, 2071, 1295, 88), (-1, 1780, 1296, 95), (-1, 2071, 1296, 88), (-1, 1780, 1297, 94), (-1, 2071, 1297, 88), (-1, 1780, 1298, 93), (-1, 2071, 1298, 88), (-1, 1779, 1299, 93), (-1, 2071, 1299, 88), (-1, 1779, 1300, 92), (-1, 2071, 1300, 88), (-1, 1778, 1301, 92), (-1, 2071, 1301, 88), (-1, 1778, 1302, 91), (-1, 2070, 1302, 89), (-1, 1778, 1303, 90), (-1, 2070, 1303, 89), (-1, 1777, 1304, 90), (-1, 2070, 1304, 89), (-1, 1777, 1305, 89), (-1, 2070, 1305, 89), (-1, 1777, 1306, 88), (-1, 2070, 1306, 89), (-1, 1776, 1307, 88), (-1, 2070, 1307, 89), (-1, 1776, 1308, 87), (-1, 2069, 1308, 90), (-1, 1775, 1309, 87), (-1, 2069, 1309, 90), (-1, 1775, 1310, 86), (-1, 2069, 1310, 90), (-1, 1775, 1311, 85), (-1, 2069, 1311, 90), (-1, 1774, 1312, 85), (-1, 2070, 1312, 89), (-1, 1774, 1313, 84), (-1, 2070, 1313, 89), (-1, 1773, 1314, 84), (-1, 2071, 1314, 88), (-1, 1773, 1315, 83), (-1, 2072, 1315, 87), (-1, 1773, 1316, 82), (-1, 2072, 1316, 87), (-1, 1772, 1317, 82), (-1, 2073, 1317, 86), (-1, 1772, 1318, 81), (-1, 2073, 1318, 86), (-1, 1771, 1319, 81), (-1, 2074, 1319, 85), (-1, 1771, 1320, 80), (-1, 2075, 1320, 84), (-1, 1771, 1321, 79), (-1, 2075, 1321, 84), (-1, 1770, 1322, 79), (-1, 2076, 1322, 83), (-1, 1770, 1323, 78), (-1, 2077, 1323, 82), (-1, 1770, 1324, 77), (-1, 2077, 1324, 82), (-1, 1769, 1325, 77), (-1, 2078, 1325, 81), (-1, 1769, 1326, 76), (-1, 2078, 1326, 81), (-1, 1768, 1327, 76), (-1, 2079, 1327, 80), (-1, 1768, 1328, 75), (-1, 2080, 1328, 79), (-1, 1768, 1329, 74), (-1, 2080, 1329, 79), (-1, 1767, 1330, 74), (-1, 2081, 1330, 78), (-1, 1767, 1331, 73), (-1, 2081, 1331, 78), (-1, 1766, 1332, 73), (-1, 2082, 1332, 77), (-1, 1766, 1333, 72), (-1, 2082, 1333, 77), (-1, 1767, 1334, 70), (-1, 2082, 1334, 77), (-1, 1768, 1335, 68), (-1, 2082, 1335, 77), (-1, 1769, 1336, 66), (-1, 2083, 1336, 76), (-1, 1769, 1337, 65), (-1, 2083, 1337, 76), (-1, 1770, 1338, 63), (-1, 2083, 1338, 76), (-1, 1771, 1339, 62), (-1, 2083, 1339, 76), (-1, 1772, 1340, 60), (-1, 2084, 1340, 75), (-1, 1773, 1341, 58), (-1, 2084, 1341, 75), (-1, 1774, 1342, 56), (-1, 2084, 1342, 75), (-1, 1774, 1343, 55), (-1, 2085, 1343, 74), (-1, 1775, 1344, 53), (-1, 2085, 1344, 74), (-1, 1776, 1345, 51), (-1, 2085, 1345, 74), (-1, 1777, 1346, 49), (-1, 2085, 1346, 74), (-1, 1778, 1347, 47), (-1, 2086, 1347, 73), (-1, 1779, 1348, 45), (-1, 2086, 1348, 73), (-1, 1780, 1349, 43), (-1, 2086, 1349, 73), (-1, 1780, 1350, 42), (-1, 2087, 1350, 72), (-1, 1781, 1351, 40), (-1, 2087, 1351, 72), (-1, 1782, 1352, 38), (-1, 2087, 1352, 72), (-1, 1783, 1353, 36), (-1, 2087, 1353, 72), (-1, 1784, 1354, 34), (-1, 2088, 1354, 71), (-1, 1785, 1355, 32), (-1, 2088, 1355, 71), (-1, 1785, 1356, 31), (-1, 2088, 1356, 71), (-1, 1786, 1357, 29), (-1, 2088, 1357, 71), (-1, 1787, 1358, 27), (-1, 2089, 1358, 70), (-1, 1788, 1359, 25), (-1, 2089, 1359, 70), (-1, 1789, 1360, 23), (-1, 2089, 1360, 70), (-1, 1790, 1361, 21), (-1, 2089, 1361, 70), (-1, 1791, 1362, 19), (-1, 2089, 1362, 70), (-1, 1791, 1363, 18), (-1, 2089, 1363, 70), (-1, 1792, 1364, 16), (-1, 2089, 1364, 70), (-1, 1793, 1365, 14), (-1, 2089, 1365, 70), (-1, 1794, 1366, 12), (-1, 2089, 1366, 70), (-1, 1795, 1367, 10), (-1, 2089, 1367, 70), (-1, 1796, 1368, 8), (-1, 2089, 1368, 70), (-1, 1796, 1369, 7), (-1, 2089, 1369, 70), (-1, 1797, 1370, 5), (-1, 2089, 1370, 70), (-1, 1798, 1371, 3), (-1, 2088, 1371, 71), (-1, 1799, 1372, 1), (-1, 2085, 1372, 74), (-1, 2083, 1373, 76), (-1, 2080, 1374, 79), (-1, 2077, 1375, 82), (-1, 2075, 1376, 84), (-1, 2072, 1377, 87), (-1, 2069, 1378, 90), (-1, 2067, 1379, 92), (-1, 2064, 1380, 95), (-1, 2061, 1381, 98), (-1, 2059, 1382, 100), (-1, 2056, 1383, 103), (-1, 2053, 1384, 106), (-1, 2051, 1385, 108), (-1, 2048, 1386, 111), (-1, 2045, 1387, 114), (-1, 2043, 1388, 116), (-1, 2040, 1389, 119), (-1, 2037, 1390, 122), (-1, 2035, 1391, 124), (-1, 2032, 1392, 127), (-1, 2030, 1393, 129), (-1, 2030, 1394, 129), (-1, 2030, 1395, 129), (-1, 2030, 1396, 129), (-1, 2030, 1397, 129), (-1, 2030, 1398, 129), (-1, 2030, 1399, 129), (-1, 2030, 1400, 129), (-1, 2030, 1401, 129), (-1, 2030, 1402, 129), (-1, 2029, 1403, 130), (-1, 2029, 1404, 130), (-1, 2029, 1405, 130), (-1, 2029, 1406, 130), (-1, 2029, 1407, 130), (-1, 2029, 1408, 130), (-1, 2029, 1409, 130), (-1, 2029, 1410, 130), (-1, 2029, 1411, 130), (-1, 2029, 1412, 130), (-1, 2029, 1413, 130), (-1, 2029, 1414, 130), (-1, 2029, 1415, 130), (-1, 2028, 1416, 131), (-1, 2028, 1417, 131), (-1, 2028, 1418, 131), (-1, 2028, 1419, 131), (-1, 2028, 1420, 131), (-1, 2027, 1421, 132), (-1, 2027, 1422, 132), (-1, 2027, 1423, 132), (-1, 2027, 1424, 132), (-1, 2027, 1425, 132), (-1, 2026, 1426, 133), (-1, 2026, 1427, 133), (-1, 2026, 1428, 133), (-1, 2026, 1429, 133), (-1, 2026, 1430, 133), (-1, 2025, 1431, 134), (-1, 2025, 1432, 134), (-1, 2025, 1433, 134), (-1, 2025, 1434, 134), (-1, 2025, 1435, 134), (-1, 2024, 1436, 135), (-1, 2024, 1437, 135), (-1, 2024, 1438, 135)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 1898, 'x1': 1940, 'y0': 1140, 'y1': 1246, 'score': 1.0, 'id': None, 'points': ['1898,1201,1900,1210,1904,1222,1909,1234,1921,1246,1927,1239,1934,1227,1940,1215,1937,1198,1937,1192,1933,1191,1934,1177,1939,1168,1928,1162,1901,1140,1910,1162,1925,1191'], 'sub_photo_id': 0, 'rles': [(-1, 1901, 1140, 1), (-1, 1901, 1141, 2), (-1, 1902, 1142, 3), (-1, 1902, 1143, 4), (-1, 1903, 1144, 4), (-1, 1903, 1145, 5), (-1, 1903, 1146, 6), (-1, 1904, 1147, 7), (-1, 1904, 1148, 8), (-1, 1905, 1149, 8), (-1, 1905, 1150, 9), (-1, 1905, 1151, 11), (-1, 1906, 1152, 11), (-1, 1906, 1153, 12), (-1, 1907, 1154, 12), (-1, 1907, 1155, 14), (-1, 1908, 1156, 14), (-1, 1908, 1157, 15), (-1, 1908, 1158, 16), (-1, 1909, 1159, 16), (-1, 1909, 1160, 18), (-1, 1910, 1161, 18), (-1, 1910, 1162, 19), (-1, 1911, 1163, 20), (-1, 1911, 1164, 22), (-1, 1912, 1165, 23), (-1, 1912, 1166, 25), (-1, 1913, 1167, 26), (-1, 1913, 1168, 27), (-1, 1914, 1169, 25), (-1, 1914, 1170, 25), (-1, 1915, 1171, 23), (-1, 1915, 1172, 23), (-1, 1916, 1173, 21), (-1, 1916, 1174, 21), (-1, 1917, 1175, 19), (-1, 1917, 1176, 19), (-1, 1918, 1177, 17), (-1, 1918, 1178, 17), (-1, 1919, 1179, 16), (-1, 1919, 1180, 16), (-1, 1920, 1181, 15), (-1, 1920, 1182, 15), (-1, 1921, 1183, 14), (-1, 1921, 1184, 13), (-1, 1922, 1185, 12), (-1, 1922, 1186, 12), (-1, 1923, 1187, 11), (-1, 1923, 1188, 11), (-1, 1924, 1189, 10), (-1, 1924, 1190, 10), (-1, 1924, 1191, 12), (-1, 1921, 1192, 17), (-1, 1919, 1193, 19), (-1, 1916, 1194, 22), (-1, 1913, 1195, 25), (-1, 1911, 1196, 27), (-1, 1908, 1197, 30), (-1, 1905, 1198, 33), (-1, 1903, 1199, 35), (-1, 1900, 1200, 38), (-1, 1898, 1201, 41), (-1, 1898, 1202, 41), (-1, 1898, 1203, 41), (-1, 1899, 1204, 40), (-1, 1899, 1205, 40), (-1, 1899, 1206, 40), (-1, 1899, 1207, 41), (-1, 1900, 1208, 40), (-1, 1900, 1209, 40), (-1, 1900, 1210, 40), (-1, 1900, 1211, 40), (-1, 1901, 1212, 39), (-1, 1901, 1213, 40), (-1, 1901, 1214, 40), (-1, 1902, 1215, 39), (-1, 1902, 1216, 38), (-1, 1902, 1217, 38), (-1, 1903, 1218, 36), (-1, 1903, 1219, 36), (-1, 1903, 1220, 35), (-1, 1904, 1221, 34), (-1, 1904, 1222, 33), (-1, 1904, 1223, 33), (-1, 1905, 1224, 31), (-1, 1905, 1225, 31), (-1, 1906, 1226, 29), (-1, 1906, 1227, 29), (-1, 1906, 1228, 28), (-1, 1907, 1229, 27), (-1, 1907, 1230, 26), (-1, 1908, 1231, 25), (-1, 1908, 1232, 24), (-1, 1909, 1233, 22), (-1, 1909, 1234, 22), (-1, 1910, 1235, 20), (-1, 1911, 1236, 19), (-1, 1912, 1237, 17), (-1, 1913, 1238, 16), (-1, 1914, 1239, 14), (-1, 1915, 1240, 12), (-1, 1916, 1241, 10), (-1, 1917, 1242, 8), (-1, 1918, 1243, 7), (-1, 1919, 1244, 5), (-1, 1920, 1245, 3), (-1, 1921, 1246, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 538, 'x1': 671, 'y0': 13, 'y1': 46, 'score': 1.0, 'id': None, 'points': ['538,13,671,21,661,46,643,46,625,42,578,27'], 'sub_photo_id': 0, 'rles': [(-1, 538, 13, 9), (-1, 540, 14, 23), (-1, 543, 15, 37), (-1, 546, 16, 51), (-1, 549, 17, 64), (-1, 551, 18, 79), (-1, 554, 19, 93), (-1, 557, 20, 106), (-1, 560, 21, 112), (-1, 563, 22, 109), (-1, 566, 23, 105), (-1, 569, 24, 102), (-1, 571, 25, 99), (-1, 574, 26, 96), (-1, 577, 27, 93), (-1, 580, 28, 89), (-1, 583, 29, 86), (-1, 586, 30, 82), (-1, 589, 31, 79), (-1, 593, 32, 75), (-1, 596, 33, 71), (-1, 599, 34, 68), (-1, 602, 35, 64), (-1, 605, 36, 61), (-1, 608, 37, 58), (-1, 611, 38, 54), (-1, 615, 39, 50), (-1, 618, 40, 46), (-1, 621, 41, 43), (-1, 624, 42, 40), (-1, 628, 43, 35), (-1, 632, 44, 31), (-1, 637, 45, 25), (-1, 641, 46, 21)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 1112, 'x1': 1199, 'y0': 1234, 'y1': 1299, 'score': 1.0, 'id': None, 'points': ['1112,1257,1123,1261,1127,1279,1144,1279,1153,1279,1172,1290,1184,1299,1198,1296,1199,1282,1196,1273,1192,1266,1178,1255,1151,1234,1145,1234,1135,1239,1126,1242,1118,1248'], 'sub_photo_id': 0, 'rles': [(-1, 1145, 1234, 7), (-1, 1143, 1235, 10), (-1, 1141, 1236, 14), (-1, 1139, 1237, 17), (-1, 1137, 1238, 20), (-1, 1134, 1239, 25), (-1, 1131, 1240, 29), (-1, 1128, 1241, 33), (-1, 1126, 1242, 36), (-1, 1125, 1243, 39), (-1, 1123, 1244, 42), (-1, 1122, 1245, 44), (-1, 1121, 1246, 47), (-1, 1119, 1247, 50), (-1, 1118, 1248, 52), (-1, 1117, 1249, 54), (-1, 1117, 1250, 56), (-1, 1116, 1251, 58), (-1, 1115, 1252, 60), (-1, 1115, 1253, 62), (-1, 1114, 1254, 64), (-1, 1113, 1255, 66), (-1, 1113, 1256, 67), (-1, 1112, 1257, 70), (-1, 1114, 1258, 69), (-1, 1117, 1259, 67), (-1, 1119, 1260, 67), (-1, 1122, 1261, 65), (-1, 1123, 1262, 65), (-1, 1123, 1263, 66), (-1, 1124, 1264, 67), (-1, 1124, 1265, 68), (-1, 1124, 1266, 69), (-1, 1124, 1267, 70), (-1, 1125, 1268, 69), (-1, 1125, 1269, 70), (-1, 1125, 1270, 70), (-1, 1125, 1271, 71), (-1, 1125, 1272, 71), (-1, 1126, 1273, 71), (-1, 1126, 1274, 71), (-1, 1126, 1275, 72), (-1, 1126, 1276, 72), (-1, 1127, 1277, 71), (-1, 1127, 1278, 72), (-1, 1127, 1279, 72), (-1, 1154, 1280, 45), (-1, 1156, 1281, 44), (-1, 1158, 1282, 42), (-1, 1160, 1283, 40), (-1, 1161, 1284, 39), (-1, 1163, 1285, 37), (-1, 1165, 1286, 35), (-1, 1166, 1287, 34), (-1, 1168, 1288, 32), (-1, 1170, 1289, 29), (-1, 1172, 1290, 27), (-1, 1173, 1291, 26), (-1, 1175, 1292, 24), (-1, 1176, 1293, 23), (-1, 1177, 1294, 22), (-1, 1179, 1295, 20), (-1, 1180, 1296, 19), (-1, 1181, 1297, 15), (-1, 1183, 1298, 9), (-1, 1184, 1299, 3)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 311, 'x1': 371, 'y0': 832, 'y1': 907, 'score': 1.0, 'id': None, 'points': ['311,841,362,907,371,901,347,864,356,855,352,841,346,832,328,837'], 'sub_photo_id': 0, 'rles': [(-1, 345, 832, 2), (-1, 341, 833, 7), (-1, 338, 834, 10), (-1, 334, 835, 15), (-1, 330, 836, 20), (-1, 326, 837, 24), (-1, 322, 838, 29), (-1, 318, 839, 34), (-1, 314, 840, 38), (-1, 311, 841, 42), (-1, 312, 842, 41), (-1, 313, 843, 41), (-1, 313, 844, 41), (-1, 314, 845, 40), (-1, 315, 846, 39), (-1, 316, 847, 39), (-1, 316, 848, 39), (-1, 317, 849, 38), (-1, 318, 850, 38), (-1, 319, 851, 37), (-1, 319, 852, 37), (-1, 320, 853, 36), (-1, 321, 854, 36), (-1, 322, 855, 35), (-1, 323, 856, 33), (-1, 323, 857, 32), (-1, 324, 858, 30), (-1, 325, 859, 28), (-1, 326, 860, 26), (-1, 326, 861, 25), (-1, 327, 862, 23), (-1, 328, 863, 21), (-1, 329, 864, 19), (-1, 330, 865, 19), (-1, 330, 866, 19), (-1, 331, 867, 19), (-1, 332, 868, 19), (-1, 333, 869, 18), (-1, 333, 870, 19), (-1, 334, 871, 19), (-1, 335, 872, 18), (-1, 336, 873, 18), (-1, 336, 874, 18), (-1, 337, 875, 18), (-1, 338, 876, 18), (-1, 339, 877, 17), (-1, 340, 878, 17), (-1, 340, 879, 18), (-1, 341, 880, 17), (-1, 342, 881, 17), (-1, 343, 882, 17), (-1, 343, 883, 17), (-1, 344, 884, 17), (-1, 345, 885, 17), (-1, 346, 886, 16), (-1, 347, 887, 16), (-1, 347, 888, 17), (-1, 348, 889, 16), (-1, 349, 890, 16), (-1, 350, 891, 16), (-1, 350, 892, 16), (-1, 351, 893, 16), (-1, 352, 894, 15), (-1, 353, 895, 15), (-1, 353, 896, 16), (-1, 354, 897, 15), (-1, 355, 898, 15), (-1, 356, 899, 15), (-1, 357, 900, 14), (-1, 357, 901, 15), (-1, 358, 902, 13), (-1, 359, 903, 10), (-1, 360, 904, 8), (-1, 360, 905, 6), (-1, 361, 906, 4), (-1, 362, 907, 1)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1003369118 of 90 degree
temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ab20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38af70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38aeb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ae80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a9d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7658e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659a0>] 90
 remove_crop_border : False
version de PIL : 9.5.0
Needs to change image size !
[[ 6.123234e-17  1.000000e+00]
 [-1.000000e+00  6.123234e-17]]
90
[[ 6.123234e-17  1.000000e+00]
 [-1.000000e+00  6.123234e-17]]
 shrink_image : False
 len(list_crops) : 16
time for calcul the mask position with numpy : 0.009405374526977539
nb_pixel_total : 110633
time to create 1 rle with old method : 0.11985039710998535
.time for calcul the mask position with numpy : 0.008480072021484375
nb_pixel_total : 15826
time to create 1 rle with old method : 0.017635822296142578
.time for calcul the mask position with numpy : 0.009711742401123047
nb_pixel_total : 5286
time to create 1 rle with old method : 0.005627155303955078
.time for calcul the mask position with numpy : 0.008505821228027344
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0018582344055175781
.time for calcul the mask position with numpy : 0.009374856948852539
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11163759231567383
.time for calcul the mask position with numpy : 0.008519172668457031
nb_pixel_total : 4393
time to create 1 rle with old method : 0.007942438125610352
.time for calcul the mask position with numpy : 0.008499383926391602
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007987022399902344
.time for calcul the mask position with numpy : 0.009866952896118164
nb_pixel_total : 62627
time to create 1 rle with old method : 0.07075071334838867
.time for calcul the mask position with numpy : 0.01029658317565918
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03995466232299805
.time for calcul the mask position with numpy : 0.009634017944335938
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04237699508666992
.time for calcul the mask position with numpy : 0.009143590927124023
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05441689491271973
.time for calcul the mask position with numpy : 0.27474308013916016
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.3270270824432373
.time for calcul the mask position with numpy : 0.008618831634521484
nb_pixel_total : 2310
time to create 1 rle with old method : 0.002512216567993164
.time for calcul the mask position with numpy : 0.00889277458190918
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0025763511657714844
.time for calcul the mask position with numpy : 0.009134769439697266
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0036783218383789062
.time for calcul the mask position with numpy : 0.009234905242919922
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0020198822021484375
.len(list_crops_rotate) : 16
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1038, 'x1': 1438, 'y0': 1584, 'y1': 2158, 'score': 1.0, 'id': None, 'points': ['1038,2157,1108,2061,1182,1979,1230,1913,1204,1884,1245,1821,1279,1848,1288,1845,1440,1581,1438,2159'], 'sub_photo_id': 0, 'rles': [(-1, 1438, 1584, 1), (-1, 1437, 1585, 2), (-1, 1437, 1586, 2), (-1, 1436, 1587, 3), (-1, 1436, 1588, 3), (-1, 1435, 1589, 4), (-1, 1435, 1590, 4), (-1, 1434, 1591, 5), (-1, 1433, 1592, 6), (-1, 1433, 1593, 6), (-1, 1432, 1594, 7), (-1, 1432, 1595, 7), (-1, 1431, 1596, 8), (-1, 1431, 1597, 8), (-1, 1430, 1598, 9), (-1, 1429, 1599, 10), (-1, 1429, 1600, 10), (-1, 1428, 1601, 11), (-1, 1428, 1602, 11), (-1, 1427, 1603, 12), (-1, 1427, 1604, 12), (-1, 1426, 1605, 13), (-1, 1425, 1606, 14), (-1, 1425, 1607, 14), (-1, 1424, 1608, 15), (-1, 1424, 1609, 15), (-1, 1423, 1610, 16), (-1, 1422, 1611, 17), (-1, 1422, 1612, 17), (-1, 1421, 1613, 18), (-1, 1421, 1614, 18), (-1, 1420, 1615, 19), (-1, 1420, 1616, 19), (-1, 1419, 1617, 20), (-1, 1418, 1618, 21), (-1, 1418, 1619, 21), (-1, 1417, 1620, 22), (-1, 1417, 1621, 22), (-1, 1416, 1622, 23), (-1, 1416, 1623, 23), (-1, 1415, 1624, 24), (-1, 1414, 1625, 25), (-1, 1414, 1626, 25), (-1, 1413, 1627, 26), (-1, 1413, 1628, 26), (-1, 1412, 1629, 27), (-1, 1412, 1630, 27), (-1, 1411, 1631, 28), (-1, 1410, 1632, 29), (-1, 1410, 1633, 29), (-1, 1409, 1634, 30), (-1, 1409, 1635, 30), (-1, 1408, 1636, 31), (-1, 1408, 1637, 31), (-1, 1407, 1638, 32), (-1, 1406, 1639, 33), (-1, 1406, 1640, 33), (-1, 1405, 1641, 34), (-1, 1405, 1642, 34), (-1, 1404, 1643, 35), (-1, 1404, 1644, 35), (-1, 1403, 1645, 36), (-1, 1402, 1646, 37), (-1, 1402, 1647, 37), (-1, 1401, 1648, 38), (-1, 1401, 1649, 38), (-1, 1400, 1650, 39), (-1, 1399, 1651, 40), (-1, 1399, 1652, 40), (-1, 1398, 1653, 41), (-1, 1398, 1654, 41), (-1, 1397, 1655, 42), (-1, 1397, 1656, 42), (-1, 1396, 1657, 43), (-1, 1395, 1658, 44), (-1, 1395, 1659, 44), (-1, 1394, 1660, 45), (-1, 1394, 1661, 45), (-1, 1393, 1662, 46), (-1, 1393, 1663, 46), (-1, 1392, 1664, 47), (-1, 1391, 1665, 48), (-1, 1391, 1666, 48), (-1, 1390, 1667, 49), (-1, 1390, 1668, 49), (-1, 1389, 1669, 50), (-1, 1389, 1670, 50), (-1, 1388, 1671, 51), (-1, 1387, 1672, 52), (-1, 1387, 1673, 52), (-1, 1386, 1674, 53), (-1, 1386, 1675, 53), (-1, 1385, 1676, 54), (-1, 1385, 1677, 54), (-1, 1384, 1678, 55), (-1, 1383, 1679, 56), (-1, 1383, 1680, 56), (-1, 1382, 1681, 57), (-1, 1382, 1682, 57), (-1, 1381, 1683, 58), (-1, 1381, 1684, 58), (-1, 1380, 1685, 59), (-1, 1379, 1686, 60), (-1, 1379, 1687, 60), (-1, 1378, 1688, 61), (-1, 1378, 1689, 61), (-1, 1377, 1690, 62), (-1, 1377, 1691, 62), (-1, 1376, 1692, 63), (-1, 1375, 1693, 64), (-1, 1375, 1694, 64), (-1, 1374, 1695, 65), (-1, 1374, 1696, 65), (-1, 1373, 1697, 66), (-1, 1372, 1698, 67), (-1, 1372, 1699, 67), (-1, 1371, 1700, 68), (-1, 1371, 1701, 68), (-1, 1370, 1702, 69), (-1, 1370, 1703, 69), (-1, 1369, 1704, 70), (-1, 1368, 1705, 71), (-1, 1368, 1706, 71), (-1, 1367, 1707, 72), (-1, 1367, 1708, 72), (-1, 1366, 1709, 73), (-1, 1366, 1710, 73), (-1, 1365, 1711, 74), (-1, 1364, 1712, 75), (-1, 1364, 1713, 75), (-1, 1363, 1714, 76), (-1, 1363, 1715, 76), (-1, 1362, 1716, 77), (-1, 1362, 1717, 77), (-1, 1361, 1718, 78), (-1, 1360, 1719, 79), (-1, 1360, 1720, 79), (-1, 1359, 1721, 80), (-1, 1359, 1722, 80), (-1, 1358, 1723, 81), (-1, 1358, 1724, 81), (-1, 1357, 1725, 82), (-1, 1356, 1726, 83), (-1, 1356, 1727, 83), (-1, 1355, 1728, 84), (-1, 1355, 1729, 84), (-1, 1354, 1730, 85), (-1, 1354, 1731, 85), (-1, 1353, 1732, 86), (-1, 1352, 1733, 87), (-1, 1352, 1734, 87), (-1, 1351, 1735, 88), (-1, 1351, 1736, 88), (-1, 1350, 1737, 89), (-1, 1349, 1738, 90), (-1, 1349, 1739, 90), (-1, 1348, 1740, 91), (-1, 1348, 1741, 91), (-1, 1347, 1742, 92), (-1, 1347, 1743, 92), (-1, 1346, 1744, 93), (-1, 1345, 1745, 94), (-1, 1345, 1746, 94), (-1, 1344, 1747, 95), (-1, 1344, 1748, 95), (-1, 1343, 1749, 96), (-1, 1343, 1750, 96), (-1, 1342, 1751, 97), (-1, 1341, 1752, 98), (-1, 1341, 1753, 98), (-1, 1340, 1754, 99), (-1, 1340, 1755, 99), (-1, 1339, 1756, 100), (-1, 1339, 1757, 100), (-1, 1338, 1758, 101), (-1, 1337, 1759, 102), (-1, 1337, 1760, 102), (-1, 1336, 1761, 103), (-1, 1336, 1762, 103), (-1, 1335, 1763, 104), (-1, 1335, 1764, 104), (-1, 1334, 1765, 105), (-1, 1333, 1766, 106), (-1, 1333, 1767, 106), (-1, 1332, 1768, 107), (-1, 1332, 1769, 107), (-1, 1331, 1770, 108), (-1, 1331, 1771, 108), (-1, 1330, 1772, 109), (-1, 1329, 1773, 110), (-1, 1329, 1774, 110), (-1, 1328, 1775, 111), (-1, 1328, 1776, 111), (-1, 1327, 1777, 112), (-1, 1327, 1778, 112), (-1, 1326, 1779, 113), (-1, 1325, 1780, 114), (-1, 1325, 1781, 114), (-1, 1324, 1782, 115), (-1, 1324, 1783, 115), (-1, 1323, 1784, 116), (-1, 1322, 1785, 117), (-1, 1322, 1786, 117), (-1, 1321, 1787, 118), (-1, 1321, 1788, 118), (-1, 1320, 1789, 119), (-1, 1320, 1790, 119), (-1, 1319, 1791, 120), (-1, 1318, 1792, 121), (-1, 1318, 1793, 121), (-1, 1317, 1794, 122), (-1, 1317, 1795, 122), (-1, 1316, 1796, 123), (-1, 1316, 1797, 123), (-1, 1315, 1798, 124), (-1, 1314, 1799, 125), (-1, 1314, 1800, 125), (-1, 1313, 1801, 126), (-1, 1313, 1802, 126), (-1, 1312, 1803, 127), (-1, 1312, 1804, 127), (-1, 1311, 1805, 128), (-1, 1310, 1806, 129), (-1, 1310, 1807, 129), (-1, 1309, 1808, 130), (-1, 1309, 1809, 130), (-1, 1308, 1810, 131), (-1, 1308, 1811, 131), (-1, 1307, 1812, 132), (-1, 1306, 1813, 133), (-1, 1306, 1814, 133), (-1, 1305, 1815, 134), (-1, 1305, 1816, 134), (-1, 1304, 1817, 135), (-1, 1304, 1818, 135), (-1, 1303, 1819, 136), (-1, 1302, 1820, 137), (-1, 1245, 1821, 1), (-1, 1302, 1821, 137), (-1, 1244, 1822, 3), (-1, 1301, 1822, 138), (-1, 1244, 1823, 5), (-1, 1301, 1823, 138), (-1, 1243, 1824, 7), (-1, 1300, 1824, 139), (-1, 1242, 1825, 9), (-1, 1299, 1825, 140), (-1, 1242, 1826, 10), (-1, 1299, 1826, 140), (-1, 1241, 1827, 13), (-1, 1298, 1827, 141), (-1, 1240, 1828, 15), (-1, 1298, 1828, 141), (-1, 1240, 1829, 16), (-1, 1297, 1829, 142), (-1, 1239, 1830, 18), (-1, 1297, 1830, 142), (-1, 1238, 1831, 21), (-1, 1296, 1831, 143), (-1, 1238, 1832, 22), (-1, 1295, 1832, 144), (-1, 1237, 1833, 24), (-1, 1295, 1833, 144), (-1, 1237, 1834, 25), (-1, 1294, 1834, 145), (-1, 1236, 1835, 28), (-1, 1294, 1835, 145), (-1, 1235, 1836, 30), (-1, 1293, 1836, 146), (-1, 1235, 1837, 31), (-1, 1293, 1837, 146), (-1, 1234, 1838, 34), (-1, 1292, 1838, 147), (-1, 1233, 1839, 36), (-1, 1291, 1839, 148), (-1, 1233, 1840, 37), (-1, 1291, 1840, 148), (-1, 1232, 1841, 39), (-1, 1290, 1841, 149), (-1, 1231, 1842, 42), (-1, 1290, 1842, 149), (-1, 1231, 1843, 43), (-1, 1289, 1843, 150), (-1, 1230, 1844, 45), (-1, 1289, 1844, 150), (-1, 1229, 1845, 47), (-1, 1287, 1845, 152), (-1, 1229, 1846, 49), (-1, 1284, 1846, 155), (-1, 1228, 1847, 51), (-1, 1281, 1847, 158), (-1, 1227, 1848, 212), (-1, 1227, 1849, 212), (-1, 1226, 1850, 213), (-1, 1225, 1851, 214), (-1, 1225, 1852, 214), (-1, 1224, 1853, 215), (-1, 1224, 1854, 215), (-1, 1223, 1855, 216), (-1, 1222, 1856, 217), (-1, 1222, 1857, 217), (-1, 1221, 1858, 218), (-1, 1220, 1859, 219), (-1, 1220, 1860, 219), (-1, 1219, 1861, 220), (-1, 1218, 1862, 221), (-1, 1218, 1863, 221), (-1, 1217, 1864, 222), (-1, 1216, 1865, 223), (-1, 1216, 1866, 223), (-1, 1215, 1867, 224), (-1, 1214, 1868, 225), (-1, 1214, 1869, 225), (-1, 1213, 1870, 226), (-1, 1212, 1871, 227), (-1, 1212, 1872, 227), (-1, 1211, 1873, 228), (-1, 1211, 1874, 228), (-1, 1210, 1875, 229), (-1, 1209, 1876, 230), (-1, 1209, 1877, 230), (-1, 1208, 1878, 231), (-1, 1207, 1879, 232), (-1, 1207, 1880, 232), (-1, 1206, 1881, 233), (-1, 1205, 1882, 234), (-1, 1205, 1883, 234), (-1, 1204, 1884, 235), (-1, 1205, 1885, 234), (-1, 1206, 1886, 233), (-1, 1207, 1887, 232), (-1, 1208, 1888, 231), (-1, 1208, 1889, 231), (-1, 1209, 1890, 230), (-1, 1210, 1891, 229), (-1, 1211, 1892, 228), (-1, 1212, 1893, 227), (-1, 1213, 1894, 226), (-1, 1214, 1895, 225), (-1, 1215, 1896, 224), (-1, 1216, 1897, 223), (-1, 1217, 1898, 222), (-1, 1217, 1899, 222), (-1, 1218, 1900, 221), (-1, 1219, 1901, 220), (-1, 1220, 1902, 219), (-1, 1221, 1903, 218), (-1, 1222, 1904, 217), (-1, 1223, 1905, 216), (-1, 1224, 1906, 215), (-1, 1225, 1907, 214), (-1, 1226, 1908, 213), (-1, 1226, 1909, 213), (-1, 1227, 1910, 212), (-1, 1228, 1911, 211), (-1, 1229, 1912, 210), (-1, 1230, 1913, 209), (-1, 1229, 1914, 210), (-1, 1229, 1915, 210), (-1, 1228, 1916, 211), (-1, 1227, 1917, 212), (-1, 1226, 1918, 213), (-1, 1226, 1919, 213), (-1, 1225, 1920, 214), (-1, 1224, 1921, 215), (-1, 1223, 1922, 216), (-1, 1223, 1923, 216), (-1, 1222, 1924, 217), (-1, 1221, 1925, 218), (-1, 1221, 1926, 218), (-1, 1220, 1927, 219), (-1, 1219, 1928, 220), (-1, 1218, 1929, 221), (-1, 1218, 1930, 221), (-1, 1217, 1931, 222), (-1, 1216, 1932, 223), (-1, 1215, 1933, 224), (-1, 1215, 1934, 224), (-1, 1214, 1935, 225), (-1, 1213, 1936, 226), (-1, 1213, 1937, 226), (-1, 1212, 1938, 227), (-1, 1211, 1939, 228), (-1, 1210, 1940, 229), (-1, 1210, 1941, 229), (-1, 1209, 1942, 230), (-1, 1208, 1943, 231), (-1, 1207, 1944, 232), (-1, 1207, 1945, 232), (-1, 1206, 1946, 233), (-1, 1205, 1947, 234), (-1, 1205, 1948, 234), (-1, 1204, 1949, 235), (-1, 1203, 1950, 236), (-1, 1202, 1951, 237), (-1, 1202, 1952, 237), (-1, 1201, 1953, 238), (-1, 1200, 1954, 239), (-1, 1199, 1955, 240), (-1, 1199, 1956, 240), (-1, 1198, 1957, 241), (-1, 1197, 1958, 242), (-1, 1197, 1959, 242), (-1, 1196, 1960, 243), (-1, 1195, 1961, 244), (-1, 1194, 1962, 245), (-1, 1194, 1963, 245), (-1, 1193, 1964, 246), (-1, 1192, 1965, 247), (-1, 1191, 1966, 248), (-1, 1191, 1967, 248), (-1, 1190, 1968, 249), (-1, 1189, 1969, 250), (-1, 1189, 1970, 250), (-1, 1188, 1971, 251), (-1, 1187, 1972, 252), (-1, 1186, 1973, 253), (-1, 1186, 1974, 253), (-1, 1185, 1975, 254), (-1, 1184, 1976, 255), (-1, 1183, 1977, 256), (-1, 1183, 1978, 256), (-1, 1182, 1979, 257), (-1, 1181, 1980, 258), (-1, 1180, 1981, 259), (-1, 1179, 1982, 260), (-1, 1178, 1983, 261), (-1, 1177, 1984, 262), (-1, 1177, 1985, 262), (-1, 1176, 1986, 263), (-1, 1175, 1987, 264), (-1, 1174, 1988, 265), (-1, 1173, 1989, 266), (-1, 1172, 1990, 267), (-1, 1171, 1991, 268), (-1, 1170, 1992, 269), (-1, 1169, 1993, 270), (-1, 1168, 1994, 271), (-1, 1168, 1995, 271), (-1, 1167, 1996, 272), (-1, 1166, 1997, 273), (-1, 1165, 1998, 274), (-1, 1164, 1999, 275), (-1, 1163, 2000, 276), (-1, 1162, 2001, 277), (-1, 1161, 2002, 278), (-1, 1160, 2003, 279), (-1, 1159, 2004, 280), (-1, 1159, 2005, 280), (-1, 1158, 2006, 281), (-1, 1157, 2007, 282), (-1, 1156, 2008, 283), (-1, 1155, 2009, 284), (-1, 1154, 2010, 285), (-1, 1153, 2011, 286), (-1, 1152, 2012, 287), (-1, 1151, 2013, 288), (-1, 1150, 2014, 289), (-1, 1150, 2015, 289), (-1, 1149, 2016, 290), (-1, 1148, 2017, 291), (-1, 1147, 2018, 292), (-1, 1146, 2019, 293), (-1, 1145, 2020, 294), (-1, 1144, 2021, 295), (-1, 1143, 2022, 296), (-1, 1142, 2023, 297), (-1, 1141, 2024, 298), (-1, 1140, 2025, 299), (-1, 1140, 2026, 299), (-1, 1139, 2027, 300), (-1, 1138, 2028, 301), (-1, 1137, 2029, 302), (-1, 1136, 2030, 303), (-1, 1135, 2031, 304), (-1, 1134, 2032, 305), (-1, 1133, 2033, 306), (-1, 1132, 2034, 307), (-1, 1131, 2035, 308), (-1, 1131, 2036, 308), (-1, 1130, 2037, 309), (-1, 1129, 2038, 310), (-1, 1128, 2039, 311), (-1, 1127, 2040, 312), (-1, 1126, 2041, 313), (-1, 1125, 2042, 314), (-1, 1124, 2043, 315), (-1, 1123, 2044, 316), (-1, 1122, 2045, 317), (-1, 1122, 2046, 317), (-1, 1121, 2047, 318), (-1, 1120, 2048, 319), (-1, 1119, 2049, 320), (-1, 1118, 2050, 321), (-1, 1117, 2051, 322), (-1, 1116, 2052, 323), (-1, 1115, 2053, 324), (-1, 1114, 2054, 325), (-1, 1113, 2055, 326), (-1, 1113, 2056, 326), (-1, 1112, 2057, 327), (-1, 1111, 2058, 328), (-1, 1110, 2059, 329), (-1, 1109, 2060, 330), (-1, 1108, 2061, 331), (-1, 1107, 2062, 332), (-1, 1107, 2063, 332), (-1, 1106, 2064, 333), (-1, 1105, 2065, 334), (-1, 1104, 2066, 335), (-1, 1104, 2067, 335), (-1, 1103, 2068, 336), (-1, 1102, 2069, 337), (-1, 1101, 2070, 338), (-1, 1101, 2071, 338), (-1, 1100, 2072, 339), (-1, 1099, 2073, 340), (-1, 1099, 2074, 340), (-1, 1098, 2075, 341), (-1, 1097, 2076, 342), (-1, 1096, 2077, 343), (-1, 1096, 2078, 343), (-1, 1095, 2079, 344), (-1, 1094, 2080, 345), (-1, 1093, 2081, 346), (-1, 1093, 2082, 346), (-1, 1092, 2083, 347), (-1, 1091, 2084, 348), (-1, 1090, 2085, 349), (-1, 1090, 2086, 349), (-1, 1089, 2087, 350), (-1, 1088, 2088, 351), (-1, 1088, 2089, 351), (-1, 1087, 2090, 352), (-1, 1086, 2091, 353), (-1, 1085, 2092, 354), (-1, 1085, 2093, 354), (-1, 1084, 2094, 355), (-1, 1083, 2095, 356), (-1, 1082, 2096, 357), (-1, 1082, 2097, 357), (-1, 1081, 2098, 358), (-1, 1080, 2099, 359), (-1, 1080, 2100, 359), (-1, 1079, 2101, 360), (-1, 1078, 2102, 361), (-1, 1077, 2103, 362), (-1, 1077, 2104, 362), (-1, 1076, 2105, 363), (-1, 1075, 2106, 364), (-1, 1074, 2107, 365), (-1, 1074, 2108, 365), (-1, 1073, 2109, 366), (-1, 1072, 2110, 367), (-1, 1072, 2111, 367), (-1, 1071, 2112, 368), (-1, 1070, 2113, 369), (-1, 1069, 2114, 370), (-1, 1069, 2115, 370), (-1, 1068, 2116, 371), (-1, 1067, 2117, 372), (-1, 1066, 2118, 373), (-1, 1066, 2119, 373), (-1, 1065, 2120, 374), (-1, 1064, 2121, 375), (-1, 1064, 2122, 375), (-1, 1063, 2123, 376), (-1, 1062, 2124, 377), (-1, 1061, 2125, 378), (-1, 1061, 2126, 378), (-1, 1060, 2127, 379), (-1, 1059, 2128, 380), (-1, 1058, 2129, 381), (-1, 1058, 2130, 381), (-1, 1057, 2131, 382), (-1, 1056, 2132, 383), (-1, 1055, 2133, 384), (-1, 1055, 2134, 384), (-1, 1054, 2135, 385), (-1, 1053, 2136, 386), (-1, 1053, 2137, 386), (-1, 1052, 2138, 387), (-1, 1051, 2139, 388), (-1, 1050, 2140, 389), (-1, 1050, 2141, 389), (-1, 1049, 2142, 390), (-1, 1048, 2143, 391), (-1, 1047, 2144, 392), (-1, 1047, 2145, 392), (-1, 1046, 2146, 393), (-1, 1045, 2147, 394), (-1, 1045, 2148, 394), (-1, 1044, 2149, 395), (-1, 1043, 2150, 396), (-1, 1042, 2151, 397), (-1, 1042, 2152, 397), (-1, 1041, 2153, 398), (-1, 1040, 2154, 399), (-1, 1039, 2155, 400), (-1, 1039, 2156, 400), (-1, 1038, 2157, 401), (-1, 1138, 2158, 301)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 367, 'x1': 607, 'y0': 1979, 'y1': 2085, 'score': 1.0, 'id': None, 'points': ['565,2085,600,2027,607,1985,598,1979,574,1979,546,1983,525,1992,372,2025,367,2052'], 'sub_photo_id': 0, 'rles': [(-1, 571, 1979, 28), (-1, 564, 1980, 37), (-1, 557, 1981, 45), (-1, 550, 1982, 54), (-1, 545, 1983, 60), (-1, 543, 1984, 64), (-1, 541, 1985, 67), (-1, 538, 1986, 70), (-1, 536, 1987, 72), (-1, 534, 1988, 73), (-1, 531, 1989, 76), (-1, 529, 1990, 78), (-1, 527, 1991, 80), (-1, 523, 1992, 84), (-1, 519, 1993, 88), (-1, 514, 1994, 92), (-1, 509, 1995, 97), (-1, 505, 1996, 101), (-1, 500, 1997, 106), (-1, 495, 1998, 111), (-1, 491, 1999, 115), (-1, 486, 2000, 119), (-1, 481, 2001, 124), (-1, 477, 2002, 128), (-1, 472, 2003, 133), (-1, 468, 2004, 137), (-1, 463, 2005, 142), (-1, 458, 2006, 146), (-1, 454, 2007, 150), (-1, 449, 2008, 155), (-1, 444, 2009, 160), (-1, 440, 2010, 164), (-1, 435, 2011, 169), (-1, 430, 2012, 173), (-1, 426, 2013, 177), (-1, 421, 2014, 182), (-1, 417, 2015, 186), (-1, 412, 2016, 191), (-1, 407, 2017, 196), (-1, 403, 2018, 199), (-1, 398, 2019, 204), (-1, 393, 2020, 209), (-1, 389, 2021, 213), (-1, 384, 2022, 218), (-1, 379, 2023, 223), (-1, 375, 2024, 226), (-1, 372, 2025, 229), (-1, 372, 2026, 229), (-1, 372, 2027, 229), (-1, 371, 2028, 229), (-1, 371, 2029, 229), (-1, 371, 2030, 228), (-1, 371, 2031, 228), (-1, 371, 2032, 227), (-1, 371, 2033, 226), (-1, 370, 2034, 227), (-1, 370, 2035, 226), (-1, 370, 2036, 226), (-1, 370, 2037, 225), (-1, 370, 2038, 224), (-1, 369, 2039, 225), (-1, 369, 2040, 224), (-1, 369, 2041, 224), (-1, 369, 2042, 223), (-1, 369, 2043, 222), (-1, 368, 2044, 223), (-1, 368, 2045, 222), (-1, 368, 2046, 222), (-1, 368, 2047, 221), (-1, 368, 2048, 220), (-1, 368, 2049, 220), (-1, 367, 2050, 220), (-1, 367, 2051, 220), (-1, 367, 2052, 219), (-1, 370, 2053, 215), (-1, 376, 2054, 209), (-1, 382, 2055, 202), (-1, 388, 2056, 195), (-1, 394, 2057, 189), (-1, 400, 2058, 182), (-1, 406, 2059, 176), (-1, 412, 2060, 169), (-1, 418, 2061, 162), (-1, 424, 2062, 156), (-1, 430, 2063, 149), (-1, 436, 2064, 143), (-1, 442, 2065, 136), (-1, 448, 2066, 129), (-1, 454, 2067, 123), (-1, 460, 2068, 116), (-1, 466, 2069, 110), (-1, 472, 2070, 103), (-1, 478, 2071, 96), (-1, 484, 2072, 90), (-1, 490, 2073, 83), (-1, 496, 2074, 77), (-1, 502, 2075, 70), (-1, 508, 2076, 63), (-1, 514, 2077, 57), (-1, 520, 2078, 50), (-1, 526, 2079, 44), (-1, 532, 2080, 37), (-1, 538, 2081, 30), (-1, 544, 2082, 24), (-1, 550, 2083, 17), (-1, 556, 2084, 11), (-1, 562, 2085, 4)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 417, 'x1': 493, 'y0': 1544, 'y1': 1761, 'score': 1.0, 'id': None, 'points': ['493,1761,472,1674,466,1649,466,1626,463,1544,442,1584,421,1596,417,1605,436,1653,444,1638,451,1643,439,1664,448,1683,457,1706'], 'sub_photo_id': 0, 'rles': [(-1, 463, 1544, 1), (-1, 462, 1545, 2), (-1, 462, 1546, 2), (-1, 461, 1547, 3), (-1, 461, 1548, 3), (-1, 460, 1549, 4), (-1, 460, 1550, 4), (-1, 459, 1551, 5), (-1, 459, 1552, 5), (-1, 458, 1553, 6), (-1, 458, 1554, 6), (-1, 457, 1555, 7), (-1, 457, 1556, 7), (-1, 456, 1557, 8), (-1, 456, 1558, 9), (-1, 455, 1559, 10), (-1, 455, 1560, 10), (-1, 454, 1561, 11), (-1, 454, 1562, 11), (-1, 453, 1563, 12), (-1, 452, 1564, 13), (-1, 452, 1565, 13), (-1, 451, 1566, 14), (-1, 451, 1567, 14), (-1, 450, 1568, 15), (-1, 450, 1569, 15), (-1, 449, 1570, 16), (-1, 449, 1571, 16), (-1, 448, 1572, 17), (-1, 448, 1573, 17), (-1, 447, 1574, 18), (-1, 447, 1575, 18), (-1, 446, 1576, 19), (-1, 446, 1577, 19), (-1, 445, 1578, 20), (-1, 445, 1579, 20), (-1, 444, 1580, 21), (-1, 444, 1581, 21), (-1, 443, 1582, 22), (-1, 443, 1583, 22), (-1, 442, 1584, 23), (-1, 440, 1585, 26), (-1, 438, 1586, 28), (-1, 436, 1587, 30), (-1, 435, 1588, 31), (-1, 433, 1589, 33), (-1, 431, 1590, 35), (-1, 429, 1591, 37), (-1, 428, 1592, 38), (-1, 426, 1593, 40), (-1, 424, 1594, 42), (-1, 422, 1595, 44), (-1, 421, 1596, 45), (-1, 421, 1597, 45), (-1, 420, 1598, 46), (-1, 420, 1599, 46), (-1, 419, 1600, 47), (-1, 419, 1601, 47), (-1, 418, 1602, 48), (-1, 418, 1603, 48), (-1, 417, 1604, 49), (-1, 417, 1605, 49), (-1, 417, 1606, 49), (-1, 418, 1607, 48), (-1, 418, 1608, 48), (-1, 419, 1609, 47), (-1, 419, 1610, 47), (-1, 419, 1611, 47), (-1, 420, 1612, 46), (-1, 420, 1613, 47), (-1, 421, 1614, 46), (-1, 421, 1615, 46), (-1, 421, 1616, 46), (-1, 422, 1617, 45), (-1, 422, 1618, 45), (-1, 423, 1619, 44), (-1, 423, 1620, 44), (-1, 423, 1621, 44), (-1, 424, 1622, 43), (-1, 424, 1623, 43), (-1, 425, 1624, 42), (-1, 425, 1625, 42), (-1, 425, 1626, 42), (-1, 426, 1627, 41), (-1, 426, 1628, 41), (-1, 427, 1629, 40), (-1, 427, 1630, 40), (-1, 427, 1631, 40), (-1, 428, 1632, 39), (-1, 428, 1633, 39), (-1, 428, 1634, 39), (-1, 429, 1635, 38), (-1, 429, 1636, 38), (-1, 430, 1637, 37), (-1, 430, 1638, 37), (-1, 430, 1639, 14), (-1, 445, 1639, 22), (-1, 431, 1640, 13), (-1, 447, 1640, 20), (-1, 431, 1641, 12), (-1, 448, 1641, 19), (-1, 432, 1642, 11), (-1, 449, 1642, 18), (-1, 432, 1643, 10), (-1, 451, 1643, 16), (-1, 432, 1644, 10), (-1, 450, 1644, 17), (-1, 433, 1645, 8), (-1, 450, 1645, 17), (-1, 433, 1646, 8), (-1, 449, 1646, 18), (-1, 434, 1647, 6), (-1, 449, 1647, 18), (-1, 434, 1648, 6), (-1, 448, 1648, 19), (-1, 434, 1649, 5), (-1, 448, 1649, 19), (-1, 435, 1650, 4), (-1, 447, 1650, 20), (-1, 435, 1651, 3), (-1, 446, 1651, 21), (-1, 436, 1652, 2), (-1, 446, 1652, 22), (-1, 436, 1653, 1), (-1, 445, 1653, 23), (-1, 445, 1654, 23), (-1, 444, 1655, 24), (-1, 444, 1656, 25), (-1, 443, 1657, 26), (-1, 442, 1658, 27), (-1, 442, 1659, 27), (-1, 441, 1660, 29), (-1, 441, 1661, 29), (-1, 440, 1662, 30), (-1, 440, 1663, 30), (-1, 439, 1664, 32), (-1, 439, 1665, 32), (-1, 440, 1666, 31), (-1, 440, 1667, 31), (-1, 441, 1668, 31), (-1, 441, 1669, 31), (-1, 442, 1670, 30), (-1, 442, 1671, 30), (-1, 443, 1672, 30), (-1, 443, 1673, 30), (-1, 444, 1674, 29), (-1, 444, 1675, 29), (-1, 445, 1676, 28), (-1, 445, 1677, 29), (-1, 446, 1678, 28), (-1, 446, 1679, 28), (-1, 447, 1680, 27), (-1, 447, 1681, 28), (-1, 448, 1682, 27), (-1, 448, 1683, 27), (-1, 448, 1684, 27), (-1, 449, 1685, 27), (-1, 449, 1686, 27), (-1, 450, 1687, 26), (-1, 450, 1688, 26), (-1, 450, 1689, 27), (-1, 451, 1690, 26), (-1, 451, 1691, 26), (-1, 452, 1692, 25), (-1, 452, 1693, 26), (-1, 452, 1694, 26), (-1, 453, 1695, 25), (-1, 453, 1696, 25), (-1, 453, 1697, 26), (-1, 454, 1698, 25), (-1, 454, 1699, 25), (-1, 455, 1700, 24), (-1, 455, 1701, 25), (-1, 455, 1702, 25), (-1, 456, 1703, 24), (-1, 456, 1704, 24), (-1, 457, 1705, 23), (-1, 457, 1706, 24), (-1, 458, 1707, 23), (-1, 458, 1708, 23), (-1, 459, 1709, 22), (-1, 460, 1710, 22), (-1, 460, 1711, 22), (-1, 461, 1712, 21), (-1, 462, 1713, 20), (-1, 462, 1714, 21), (-1, 463, 1715, 20), (-1, 464, 1716, 19), (-1, 464, 1717, 19), (-1, 465, 1718, 19), (-1, 466, 1719, 18), (-1, 466, 1720, 18), (-1, 467, 1721, 17), (-1, 467, 1722, 18), (-1, 468, 1723, 17), (-1, 469, 1724, 16), (-1, 469, 1725, 16), (-1, 470, 1726, 16), (-1, 471, 1727, 15), (-1, 471, 1728, 15), (-1, 472, 1729, 14), (-1, 473, 1730, 14), (-1, 473, 1731, 14), (-1, 474, 1732, 13), (-1, 475, 1733, 12), (-1, 475, 1734, 12), (-1, 476, 1735, 12), (-1, 477, 1736, 11), (-1, 477, 1737, 11), (-1, 478, 1738, 10), (-1, 479, 1739, 10), (-1, 479, 1740, 10), (-1, 480, 1741, 9), (-1, 481, 1742, 8), (-1, 481, 1743, 9), (-1, 482, 1744, 8), (-1, 483, 1745, 7), (-1, 483, 1746, 7), (-1, 484, 1747, 7), (-1, 484, 1748, 7), (-1, 485, 1749, 6), (-1, 486, 1750, 5), (-1, 486, 1751, 6), (-1, 487, 1752, 5), (-1, 488, 1753, 4), (-1, 488, 1754, 4), (-1, 489, 1755, 4), (-1, 490, 1756, 3), (-1, 490, 1757, 3), (-1, 491, 1758, 2), (-1, 492, 1759, 2), (-1, 492, 1760, 2), (-1, 493, 1761, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1032, 'x1': 1081, 'y0': 1673, 'y1': 1736, 'score': 1.0, 'id': None, 'points': ['1044,1736,1056,1716,1081,1688,1056,1673,1038,1686,1032,1728'], 'sub_photo_id': 0, 'rles': [(-1, 1056, 1673, 1), (-1, 1054, 1674, 5), (-1, 1053, 1675, 8), (-1, 1052, 1676, 10), (-1, 1050, 1677, 14), (-1, 1049, 1678, 17), (-1, 1048, 1679, 19), (-1, 1046, 1680, 23), (-1, 1045, 1681, 26), (-1, 1043, 1682, 29), (-1, 1042, 1683, 32), (-1, 1041, 1684, 35), (-1, 1039, 1685, 38), (-1, 1038, 1686, 41), (-1, 1038, 1687, 43), (-1, 1038, 1688, 44), (-1, 1038, 1689, 43), (-1, 1037, 1690, 43), (-1, 1037, 1691, 42), (-1, 1037, 1692, 41), (-1, 1037, 1693, 41), (-1, 1037, 1694, 40), (-1, 1037, 1695, 39), (-1, 1037, 1696, 38), (-1, 1036, 1697, 38), (-1, 1036, 1698, 37), (-1, 1036, 1699, 36), (-1, 1036, 1700, 35), (-1, 1036, 1701, 34), (-1, 1036, 1702, 33), (-1, 1036, 1703, 33), (-1, 1035, 1704, 33), (-1, 1035, 1705, 32), (-1, 1035, 1706, 31), (-1, 1035, 1707, 30), (-1, 1035, 1708, 29), (-1, 1035, 1709, 28), (-1, 1035, 1710, 27), (-1, 1034, 1711, 27), (-1, 1034, 1712, 27), (-1, 1034, 1713, 26), (-1, 1034, 1714, 25), (-1, 1034, 1715, 24), (-1, 1034, 1716, 23), (-1, 1034, 1717, 22), (-1, 1033, 1718, 23), (-1, 1033, 1719, 22), (-1, 1033, 1720, 22), (-1, 1033, 1721, 21), (-1, 1033, 1722, 20), (-1, 1033, 1723, 20), (-1, 1033, 1724, 19), (-1, 1032, 1725, 20), (-1, 1032, 1726, 19), (-1, 1032, 1727, 18), (-1, 1032, 1728, 18), (-1, 1033, 1729, 16), (-1, 1035, 1730, 14), (-1, 1036, 1731, 12), (-1, 1038, 1732, 9), (-1, 1039, 1733, 8), (-1, 1041, 1734, 5), (-1, 1042, 1735, 4), (-1, 1044, 1736, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 312, 'y0': 1505, 'y1': 2157, 'score': 1.0, 'id': None, 'points': ['279,2156,277,2135,283,2087,291,2066,295,2055,312,2042,204,2060,181,2042,130,1947,103,1862,70,1752,76,1748,291,1637,274,1622,234,1595,205,1592,181,1586,156,1572,64,1512,48,1505,12,1629,0,1628,1,2157'], 'sub_photo_id': 0, 'rles': [(-1, 48, 1505, 2), (-1, 48, 1506, 4), (-1, 47, 1507, 7), (-1, 47, 1508, 9), (-1, 47, 1509, 12), (-1, 47, 1510, 14), (-1, 46, 1511, 17), (-1, 46, 1512, 19), (-1, 46, 1513, 21), (-1, 45, 1514, 23), (-1, 45, 1515, 25), (-1, 45, 1516, 26), (-1, 45, 1517, 28), (-1, 44, 1518, 30), (-1, 44, 1519, 32), (-1, 44, 1520, 34), (-1, 43, 1521, 36), (-1, 43, 1522, 38), (-1, 43, 1523, 39), (-1, 42, 1524, 42), (-1, 42, 1525, 43), (-1, 42, 1526, 45), (-1, 42, 1527, 46), (-1, 41, 1528, 49), (-1, 41, 1529, 50), (-1, 41, 1530, 52), (-1, 40, 1531, 54), (-1, 40, 1532, 56), (-1, 40, 1533, 57), (-1, 40, 1534, 59), (-1, 39, 1535, 62), (-1, 39, 1536, 63), (-1, 39, 1537, 65), (-1, 38, 1538, 67), (-1, 38, 1539, 69), (-1, 38, 1540, 70), (-1, 38, 1541, 72), (-1, 37, 1542, 74), (-1, 37, 1543, 76), (-1, 37, 1544, 77), (-1, 36, 1545, 80), (-1, 36, 1546, 81), (-1, 36, 1547, 83), (-1, 36, 1548, 84), (-1, 35, 1549, 87), (-1, 35, 1550, 89), (-1, 35, 1551, 90), (-1, 34, 1552, 93), (-1, 34, 1553, 94), (-1, 34, 1554, 96), (-1, 33, 1555, 98), (-1, 33, 1556, 100), (-1, 33, 1557, 101), (-1, 33, 1558, 103), (-1, 32, 1559, 105), (-1, 32, 1560, 107), (-1, 32, 1561, 108), (-1, 31, 1562, 111), (-1, 31, 1563, 112), (-1, 31, 1564, 114), (-1, 31, 1565, 116), (-1, 30, 1566, 118), (-1, 30, 1567, 120), (-1, 30, 1568, 121), (-1, 29, 1569, 124), (-1, 29, 1570, 125), (-1, 29, 1571, 127), (-1, 29, 1572, 128), (-1, 28, 1573, 131), (-1, 28, 1574, 133), (-1, 28, 1575, 135), (-1, 27, 1576, 138), (-1, 27, 1577, 139), (-1, 27, 1578, 141), (-1, 27, 1579, 143), (-1, 26, 1580, 146), (-1, 26, 1581, 147), (-1, 26, 1582, 149), (-1, 25, 1583, 152), (-1, 25, 1584, 154), (-1, 25, 1585, 156), (-1, 24, 1586, 159), (-1, 24, 1587, 163), (-1, 24, 1588, 167), (-1, 24, 1589, 171), (-1, 23, 1590, 176), (-1, 23, 1591, 180), (-1, 23, 1592, 187), (-1, 22, 1593, 198), (-1, 22, 1594, 208), (-1, 22, 1595, 213), (-1, 22, 1596, 215), (-1, 21, 1597, 217), (-1, 21, 1598, 219), (-1, 21, 1599, 220), (-1, 20, 1600, 223), (-1, 20, 1601, 224), (-1, 20, 1602, 226), (-1, 20, 1603, 227), (-1, 19, 1604, 230), (-1, 19, 1605, 231), (-1, 19, 1606, 233), (-1, 18, 1607, 235), (-1, 18, 1608, 236), (-1, 18, 1609, 238), (-1, 18, 1610, 239), (-1, 17, 1611, 242), (-1, 17, 1612, 243), (-1, 17, 1613, 245), (-1, 16, 1614, 247), (-1, 16, 1615, 249), (-1, 16, 1616, 250), (-1, 15, 1617, 253), (-1, 15, 1618, 254), (-1, 15, 1619, 256), (-1, 15, 1620, 257), (-1, 14, 1621, 260), (-1, 14, 1622, 261), (-1, 14, 1623, 262), (-1, 13, 1624, 264), (-1, 13, 1625, 265), (-1, 13, 1626, 267), (-1, 13, 1627, 268), (-1, 0, 1628, 6), (-1, 12, 1628, 270), (-1, 0, 1629, 283), (-1, 0, 1630, 284), (-1, 0, 1631, 285), (-1, 0, 1632, 286), (-1, 0, 1633, 288), (-1, 0, 1634, 289), (-1, 0, 1635, 290), (-1, 0, 1636, 291), (-1, 0, 1637, 292), (-1, 0, 1638, 291), (-1, 0, 1639, 289), (-1, 0, 1640, 287), (-1, 0, 1641, 285), (-1, 0, 1642, 283), (-1, 0, 1643, 281), (-1, 0, 1644, 279), (-1, 0, 1645, 277), (-1, 0, 1646, 275), (-1, 0, 1647, 273), (-1, 0, 1648, 271), (-1, 0, 1649, 269), (-1, 0, 1650, 267), (-1, 0, 1651, 265), (-1, 0, 1652, 263), (-1, 0, 1653, 261), (-1, 0, 1654, 260), (-1, 0, 1655, 258), (-1, 0, 1656, 256), (-1, 0, 1657, 254), (-1, 0, 1658, 252), (-1, 0, 1659, 250), (-1, 0, 1660, 248), (-1, 0, 1661, 246), (-1, 0, 1662, 244), (-1, 0, 1663, 242), (-1, 0, 1664, 240), (-1, 0, 1665, 238), (-1, 0, 1666, 236), (-1, 0, 1667, 234), (-1, 0, 1668, 232), (-1, 0, 1669, 230), (-1, 0, 1670, 229), (-1, 0, 1671, 227), (-1, 0, 1672, 225), (-1, 0, 1673, 223), (-1, 0, 1674, 221), (-1, 0, 1675, 219), (-1, 0, 1676, 217), (-1, 0, 1677, 215), (-1, 0, 1678, 213), (-1, 0, 1679, 211), (-1, 0, 1680, 209), (-1, 0, 1681, 207), (-1, 0, 1682, 205), (-1, 0, 1683, 203), (-1, 0, 1684, 201), (-1, 0, 1685, 199), (-1, 0, 1686, 198), (-1, 0, 1687, 196), (-1, 0, 1688, 194), (-1, 0, 1689, 192), (-1, 0, 1690, 190), (-1, 0, 1691, 188), (-1, 0, 1692, 186), (-1, 0, 1693, 184), (-1, 0, 1694, 182), (-1, 0, 1695, 180), (-1, 0, 1696, 178), (-1, 0, 1697, 176), (-1, 0, 1698, 174), (-1, 0, 1699, 172), (-1, 0, 1700, 170), (-1, 0, 1701, 169), (-1, 0, 1702, 167), (-1, 0, 1703, 165), (-1, 0, 1704, 163), (-1, 0, 1705, 161), (-1, 0, 1706, 159), (-1, 0, 1707, 157), (-1, 0, 1708, 155), (-1, 0, 1709, 153), (-1, 0, 1710, 151), (-1, 0, 1711, 149), (-1, 0, 1712, 147), (-1, 0, 1713, 145), (-1, 0, 1714, 143), (-1, 0, 1715, 141), (-1, 0, 1716, 139), (-1, 0, 1717, 138), (-1, 0, 1718, 136), (-1, 0, 1719, 134), (-1, 0, 1720, 132), (-1, 0, 1721, 130), (-1, 0, 1722, 128), (-1, 0, 1723, 126), (-1, 0, 1724, 124), (-1, 0, 1725, 122), (-1, 0, 1726, 120), (-1, 0, 1727, 118), (-1, 0, 1728, 116), (-1, 0, 1729, 114), (-1, 0, 1730, 112), (-1, 0, 1731, 110), (-1, 0, 1732, 108), (-1, 0, 1733, 107), (-1, 0, 1734, 105), (-1, 0, 1735, 103), (-1, 0, 1736, 101), (-1, 0, 1737, 99), (-1, 0, 1738, 97), (-1, 0, 1739, 95), (-1, 0, 1740, 93), (-1, 0, 1741, 91), (-1, 0, 1742, 89), (-1, 0, 1743, 87), (-1, 0, 1744, 85), (-1, 0, 1745, 83), (-1, 0, 1746, 81), (-1, 0, 1747, 79), (-1, 0, 1748, 77), (-1, 0, 1749, 76), (-1, 0, 1750, 74), (-1, 0, 1751, 73), (-1, 0, 1752, 71), (-1, 0, 1753, 71), (-1, 0, 1754, 72), (-1, 0, 1755, 72), (-1, 0, 1756, 72), (-1, 0, 1757, 73), (-1, 0, 1758, 73), (-1, 0, 1759, 73), (-1, 0, 1760, 73), (-1, 0, 1761, 74), (-1, 0, 1762, 74), (-1, 0, 1763, 74), (-1, 0, 1764, 75), (-1, 0, 1765, 75), (-1, 0, 1766, 75), (-1, 0, 1767, 76), (-1, 0, 1768, 76), (-1, 0, 1769, 76), (-1, 0, 1770, 76), (-1, 0, 1771, 77), (-1, 0, 1772, 77), (-1, 0, 1773, 77), (-1, 0, 1774, 78), (-1, 0, 1775, 78), (-1, 0, 1776, 78), (-1, 0, 1777, 79), (-1, 0, 1778, 79), (-1, 0, 1779, 79), (-1, 0, 1780, 79), (-1, 0, 1781, 80), (-1, 0, 1782, 80), (-1, 0, 1783, 80), (-1, 0, 1784, 81), (-1, 0, 1785, 81), (-1, 0, 1786, 81), (-1, 0, 1787, 82), (-1, 0, 1788, 82), (-1, 0, 1789, 82), (-1, 0, 1790, 82), (-1, 0, 1791, 83), (-1, 0, 1792, 83), (-1, 0, 1793, 83), (-1, 0, 1794, 84), (-1, 0, 1795, 84), (-1, 0, 1796, 84), (-1, 0, 1797, 85), (-1, 0, 1798, 85), (-1, 0, 1799, 85), (-1, 0, 1800, 85), (-1, 0, 1801, 86), (-1, 0, 1802, 86), (-1, 0, 1803, 86), (-1, 0, 1804, 87), (-1, 0, 1805, 87), (-1, 0, 1806, 87), (-1, 0, 1807, 88), (-1, 0, 1808, 88), (-1, 0, 1809, 88), (-1, 0, 1810, 88), (-1, 0, 1811, 89), (-1, 0, 1812, 89), (-1, 0, 1813, 89), (-1, 0, 1814, 90), (-1, 0, 1815, 90), (-1, 0, 1816, 90), (-1, 0, 1817, 91), (-1, 0, 1818, 91), (-1, 0, 1819, 91), (-1, 0, 1820, 91), (-1, 0, 1821, 92), (-1, 0, 1822, 92), (-1, 0, 1823, 92), (-1, 0, 1824, 93), (-1, 0, 1825, 93), (-1, 0, 1826, 93), (-1, 0, 1827, 94), (-1, 0, 1828, 94), (-1, 0, 1829, 94), (-1, 0, 1830, 94), (-1, 0, 1831, 95), (-1, 0, 1832, 95), (-1, 0, 1833, 95), (-1, 0, 1834, 96), (-1, 0, 1835, 96), (-1, 0, 1836, 96), (-1, 0, 1837, 97), (-1, 0, 1838, 97), (-1, 0, 1839, 97), (-1, 0, 1840, 97), (-1, 0, 1841, 98), (-1, 0, 1842, 98), (-1, 0, 1843, 98), (-1, 0, 1844, 99), (-1, 0, 1845, 99), (-1, 0, 1846, 99), (-1, 0, 1847, 100), (-1, 0, 1848, 100), (-1, 0, 1849, 100), (-1, 0, 1850, 100), (-1, 0, 1851, 101), (-1, 0, 1852, 101), (-1, 0, 1853, 101), (-1, 0, 1854, 102), (-1, 0, 1855, 102), (-1, 0, 1856, 102), (-1, 0, 1857, 103), (-1, 0, 1858, 103), (-1, 0, 1859, 103), (-1, 0, 1860, 103), (-1, 0, 1861, 104), (-1, 0, 1862, 104), (-1, 0, 1863, 104), (-1, 0, 1864, 105), (-1, 0, 1865, 105), (-1, 0, 1866, 105), (-1, 0, 1867, 106), (-1, 0, 1868, 106), (-1, 0, 1869, 106), (-1, 0, 1870, 107), (-1, 0, 1871, 107), (-1, 0, 1872, 107), (-1, 0, 1873, 107), (-1, 0, 1874, 108), (-1, 0, 1875, 108), (-1, 0, 1876, 108), (-1, 0, 1877, 109), (-1, 0, 1878, 109), (-1, 0, 1879, 109), (-1, 0, 1880, 110), (-1, 0, 1881, 110), (-1, 0, 1882, 110), (-1, 0, 1883, 111), (-1, 0, 1884, 111), (-1, 0, 1885, 111), (-1, 0, 1886, 112), (-1, 0, 1887, 112), (-1, 0, 1888, 112), (-1, 0, 1889, 113), (-1, 0, 1890, 113), (-1, 0, 1891, 113), (-1, 0, 1892, 114), (-1, 1, 1893, 113), (-1, 1, 1894, 113), (-1, 1, 1895, 113), (-1, 1, 1896, 114), (-1, 1, 1897, 114), (-1, 1, 1898, 114), (-1, 1, 1899, 115), (-1, 1, 1900, 115), (-1, 1, 1901, 115), (-1, 1, 1902, 116), (-1, 1, 1903, 116), (-1, 1, 1904, 116), (-1, 1, 1905, 117), (-1, 1, 1906, 117), (-1, 1, 1907, 117), (-1, 1, 1908, 118), (-1, 1, 1909, 118), (-1, 1, 1910, 118), (-1, 1, 1911, 119), (-1, 1, 1912, 119), (-1, 1, 1913, 119), (-1, 1, 1914, 120), (-1, 1, 1915, 120), (-1, 1, 1916, 120), (-1, 1, 1917, 120), (-1, 1, 1918, 121), (-1, 1, 1919, 121), (-1, 1, 1920, 121), (-1, 1, 1921, 122), (-1, 1, 1922, 122), (-1, 1, 1923, 122), (-1, 1, 1924, 123), (-1, 1, 1925, 123), (-1, 1, 1926, 123), (-1, 1, 1927, 124), (-1, 1, 1928, 124), (-1, 1, 1929, 124), (-1, 1, 1930, 125), (-1, 1, 1931, 125), (-1, 1, 1932, 125), (-1, 1, 1933, 126), (-1, 1, 1934, 126), (-1, 1, 1935, 126), (-1, 1, 1936, 127), (-1, 1, 1937, 127), (-1, 1, 1938, 127), (-1, 1, 1939, 127), (-1, 1, 1940, 128), (-1, 1, 1941, 128), (-1, 1, 1942, 128), (-1, 1, 1943, 129), (-1, 1, 1944, 129), (-1, 1, 1945, 129), (-1, 1, 1946, 130), (-1, 1, 1947, 130), (-1, 1, 1948, 131), (-1, 1, 1949, 131), (-1, 1, 1950, 132), (-1, 1, 1951, 132), (-1, 1, 1952, 133), (-1, 1, 1953, 133), (-1, 1, 1954, 134), (-1, 1, 1955, 134), (-1, 1, 1956, 135), (-1, 1, 1957, 135), (-1, 1, 1958, 136), (-1, 1, 1959, 136), (-1, 1, 1960, 137), (-1, 1, 1961, 138), (-1, 1, 1962, 138), (-1, 1, 1963, 139), (-1, 1, 1964, 139), (-1, 1, 1965, 140), (-1, 1, 1966, 140), (-1, 1, 1967, 141), (-1, 1, 1968, 141), (-1, 1, 1969, 142), (-1, 1, 1970, 142), (-1, 1, 1971, 143), (-1, 1, 1972, 143), (-1, 1, 1973, 144), (-1, 1, 1974, 144), (-1, 1, 1975, 145), (-1, 1, 1976, 146), (-1, 1, 1977, 146), (-1, 1, 1978, 147), (-1, 1, 1979, 147), (-1, 1, 1980, 148), (-1, 1, 1981, 148), (-1, 1, 1982, 149), (-1, 1, 1983, 149), (-1, 1, 1984, 150), (-1, 1, 1985, 150), (-1, 1, 1986, 151), (-1, 1, 1987, 151), (-1, 1, 1988, 152), (-1, 1, 1989, 153), (-1, 1, 1990, 153), (-1, 1, 1991, 154), (-1, 1, 1992, 154), (-1, 1, 1993, 155), (-1, 1, 1994, 155), (-1, 1, 1995, 156), (-1, 1, 1996, 156), (-1, 1, 1997, 157), (-1, 1, 1998, 157), (-1, 1, 1999, 158), (-1, 1, 2000, 158), (-1, 1, 2001, 159), (-1, 1, 2002, 160), (-1, 1, 2003, 160), (-1, 1, 2004, 161), (-1, 1, 2005, 161), (-1, 1, 2006, 162), (-1, 1, 2007, 162), (-1, 1, 2008, 163), (-1, 1, 2009, 163), (-1, 1, 2010, 164), (-1, 1, 2011, 164), (-1, 1, 2012, 165), (-1, 1, 2013, 165), (-1, 1, 2014, 166), (-1, 1, 2015, 167), (-1, 1, 2016, 167), (-1, 1, 2017, 168), (-1, 1, 2018, 168), (-1, 1, 2019, 169), (-1, 1, 2020, 169), (-1, 1, 2021, 170), (-1, 1, 2022, 170), (-1, 1, 2023, 171), (-1, 1, 2024, 171), (-1, 1, 2025, 172), (-1, 1, 2026, 172), (-1, 1, 2027, 173), (-1, 1, 2028, 173), (-1, 1, 2029, 174), (-1, 1, 2030, 175), (-1, 1, 2031, 175), (-1, 1, 2032, 176), (-1, 1, 2033, 176), (-1, 1, 2034, 177), (-1, 1, 2035, 177), (-1, 1, 2036, 178), (-1, 1, 2037, 178), (-1, 1, 2038, 179), (-1, 1, 2039, 179), (-1, 1, 2040, 180), (-1, 1, 2041, 180), (-1, 1, 2042, 181), (-1, 310, 2042, 3), (-1, 1, 2043, 182), (-1, 304, 2043, 8), (-1, 1, 2044, 184), (-1, 298, 2044, 13), (-1, 1, 2045, 185), (-1, 292, 2045, 17), (-1, 1, 2046, 186), (-1, 286, 2046, 22), (-1, 1, 2047, 188), (-1, 280, 2047, 27), (-1, 1, 2048, 189), (-1, 274, 2048, 31), (-1, 1, 2049, 190), (-1, 268, 2049, 36), (-1, 1, 2050, 191), (-1, 262, 2050, 41), (-1, 1, 2051, 193), (-1, 256, 2051, 45), (-1, 1, 2052, 194), (-1, 250, 2052, 50), (-1, 1, 2053, 195), (-1, 244, 2053, 55), (-1, 1, 2054, 196), (-1, 238, 2054, 59), (-1, 1, 2055, 198), (-1, 232, 2055, 64), (-1, 1, 2056, 199), (-1, 226, 2056, 70), (-1, 1, 2057, 200), (-1, 220, 2057, 75), (-1, 1, 2058, 202), (-1, 214, 2058, 81), (-1, 1, 2059, 203), (-1, 208, 2059, 87), (-1, 1, 2060, 293), (-1, 1, 2061, 293), (-1, 1, 2062, 292), (-1, 1, 2063, 292), (-1, 1, 2064, 292), (-1, 1, 2065, 291), (-1, 1, 2066, 291), (-1, 1, 2067, 291), (-1, 1, 2068, 290), (-1, 1, 2069, 290), (-1, 1, 2070, 289), (-1, 1, 2071, 289), (-1, 1, 2072, 289), (-1, 1, 2073, 288), (-1, 1, 2074, 288), (-1, 1, 2075, 288), (-1, 1, 2076, 287), (-1, 1, 2077, 287), (-1, 1, 2078, 286), (-1, 1, 2079, 286), (-1, 1, 2080, 286), (-1, 1, 2081, 285), (-1, 1, 2082, 285), (-1, 1, 2083, 285), (-1, 1, 2084, 284), (-1, 1, 2085, 284), (-1, 1, 2086, 283), (-1, 1, 2087, 283), (-1, 1, 2088, 283), (-1, 1, 2089, 283), (-1, 1, 2090, 283), (-1, 1, 2091, 282), (-1, 1, 2092, 282), (-1, 1, 2093, 282), (-1, 1, 2094, 282), (-1, 1, 2095, 282), (-1, 1, 2096, 282), (-1, 1, 2097, 282), (-1, 1, 2098, 282), (-1, 1, 2099, 281), (-1, 1, 2100, 281), (-1, 1, 2101, 281), (-1, 1, 2102, 281), (-1, 1, 2103, 281), (-1, 1, 2104, 281), (-1, 1, 2105, 281), (-1, 1, 2106, 281), (-1, 1, 2107, 280), (-1, 1, 2108, 280), (-1, 1, 2109, 280), (-1, 1, 2110, 280), (-1, 1, 2111, 280), (-1, 1, 2112, 280), (-1, 1, 2113, 280), (-1, 1, 2114, 280), (-1, 1, 2115, 279), (-1, 1, 2116, 279), (-1, 1, 2117, 279), (-1, 1, 2118, 279), (-1, 1, 2119, 279), (-1, 1, 2120, 279), (-1, 1, 2121, 279), (-1, 1, 2122, 279), (-1, 1, 2123, 278), (-1, 1, 2124, 278), (-1, 1, 2125, 278), (-1, 1, 2126, 278), (-1, 1, 2127, 278), (-1, 1, 2128, 278), (-1, 1, 2129, 278), (-1, 1, 2130, 278), (-1, 1, 2131, 277), (-1, 1, 2132, 277), (-1, 1, 2133, 277), (-1, 1, 2134, 277), (-1, 1, 2135, 277), (-1, 1, 2136, 277), (-1, 1, 2137, 277), (-1, 1, 2138, 277), (-1, 1, 2139, 277), (-1, 1, 2140, 277), (-1, 1, 2141, 278), (-1, 1, 2142, 278), (-1, 1, 2143, 278), (-1, 1, 2144, 278), (-1, 1, 2145, 278), (-1, 1, 2146, 278), (-1, 1, 2147, 278), (-1, 1, 2148, 278), (-1, 1, 2149, 278), (-1, 1, 2150, 278), (-1, 1, 2151, 279), (-1, 1, 2152, 279), (-1, 1, 2153, 279), (-1, 1, 2154, 279), (-1, 1, 2155, 279), (-1, 1, 2156, 279), (-1, 1, 2157, 140)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1341, 'x1': 1410, 'y0': 1056, 'y1': 1188, 'score': 1.0, 'id': None, 'points': ['1384,1188,1396,1188,1398,1173,1404,1157,1405,1136,1408,1125,1410,1118,1381,1085,1360,1065,1348,1056,1341,1088,1359,1118,1363,1136,1377,1157,1380,1169'], 'sub_photo_id': 0, 'rles': [(-1, 1348, 1056, 1), (-1, 1348, 1057, 2), (-1, 1348, 1058, 4), (-1, 1347, 1059, 6), (-1, 1347, 1060, 7), (-1, 1347, 1061, 9), (-1, 1347, 1062, 10), (-1, 1346, 1063, 12), (-1, 1346, 1064, 14), (-1, 1346, 1065, 15), (-1, 1346, 1066, 16), (-1, 1346, 1067, 17), (-1, 1345, 1068, 19), (-1, 1345, 1069, 20), (-1, 1345, 1070, 21), (-1, 1345, 1071, 22), (-1, 1344, 1072, 24), (-1, 1344, 1073, 25), (-1, 1344, 1074, 26), (-1, 1344, 1075, 28), (-1, 1344, 1076, 29), (-1, 1343, 1077, 31), (-1, 1343, 1078, 32), (-1, 1343, 1079, 33), (-1, 1343, 1080, 34), (-1, 1343, 1081, 35), (-1, 1342, 1082, 37), (-1, 1342, 1083, 38), (-1, 1342, 1084, 39), (-1, 1342, 1085, 40), (-1, 1341, 1086, 42), (-1, 1341, 1087, 43), (-1, 1341, 1088, 44), (-1, 1342, 1089, 44), (-1, 1342, 1090, 44), (-1, 1343, 1091, 44), (-1, 1343, 1092, 45), (-1, 1344, 1093, 45), (-1, 1345, 1094, 45), (-1, 1345, 1095, 46), (-1, 1346, 1096, 46), (-1, 1346, 1097, 47), (-1, 1347, 1098, 46), (-1, 1348, 1099, 46), (-1, 1348, 1100, 47), (-1, 1349, 1101, 47), (-1, 1349, 1102, 48), (-1, 1350, 1103, 48), (-1, 1351, 1104, 48), (-1, 1351, 1105, 49), (-1, 1352, 1106, 48), (-1, 1352, 1107, 49), (-1, 1353, 1108, 49), (-1, 1354, 1109, 49), (-1, 1354, 1110, 50), (-1, 1355, 1111, 50), (-1, 1355, 1112, 51), (-1, 1356, 1113, 51), (-1, 1357, 1114, 50), (-1, 1357, 1115, 51), (-1, 1358, 1116, 51), (-1, 1358, 1117, 52), (-1, 1359, 1118, 52), (-1, 1359, 1119, 52), (-1, 1359, 1120, 51), (-1, 1360, 1121, 50), (-1, 1360, 1122, 50), (-1, 1360, 1123, 50), (-1, 1360, 1124, 49), (-1, 1361, 1125, 48), (-1, 1361, 1126, 48), (-1, 1361, 1127, 47), (-1, 1361, 1128, 47), (-1, 1361, 1129, 47), (-1, 1362, 1130, 46), (-1, 1362, 1131, 45), (-1, 1362, 1132, 45), (-1, 1362, 1133, 45), (-1, 1363, 1134, 44), (-1, 1363, 1135, 43), (-1, 1363, 1136, 43), (-1, 1364, 1137, 42), (-1, 1364, 1138, 42), (-1, 1365, 1139, 41), (-1, 1366, 1140, 40), (-1, 1366, 1141, 40), (-1, 1367, 1142, 39), (-1, 1368, 1143, 38), (-1, 1368, 1144, 38), (-1, 1369, 1145, 37), (-1, 1370, 1146, 36), (-1, 1370, 1147, 35), (-1, 1371, 1148, 34), (-1, 1372, 1149, 33), (-1, 1372, 1150, 33), (-1, 1373, 1151, 32), (-1, 1374, 1152, 31), (-1, 1374, 1153, 31), (-1, 1375, 1154, 30), (-1, 1376, 1155, 29), (-1, 1376, 1156, 29), (-1, 1377, 1157, 28), (-1, 1377, 1158, 28), (-1, 1378, 1159, 26), (-1, 1378, 1160, 26), (-1, 1378, 1161, 25), (-1, 1378, 1162, 25), (-1, 1379, 1163, 24), (-1, 1379, 1164, 23), (-1, 1379, 1165, 23), (-1, 1379, 1166, 23), (-1, 1380, 1167, 21), (-1, 1380, 1168, 21), (-1, 1380, 1169, 20), (-1, 1380, 1170, 20), (-1, 1380, 1171, 20), (-1, 1381, 1172, 18), (-1, 1381, 1173, 18), (-1, 1381, 1174, 18), (-1, 1381, 1175, 18), (-1, 1381, 1176, 18), (-1, 1382, 1177, 16), (-1, 1382, 1178, 16), (-1, 1382, 1179, 16), (-1, 1382, 1180, 16), (-1, 1383, 1181, 15), (-1, 1383, 1182, 15), (-1, 1383, 1183, 15), (-1, 1383, 1184, 15), (-1, 1383, 1185, 14), (-1, 1384, 1186, 13), (-1, 1384, 1187, 13), (-1, 1384, 1188, 13)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1281, 'x1': 1326, 'y0': 975, 'y1': 1007, 'score': 1.0, 'id': None, 'points': ['1281,1007,1326,992,1300,975,1288,995'], 'sub_photo_id': 0, 'rles': [(-1, 1300, 975, 1), (-1, 1299, 976, 4), (-1, 1299, 977, 5), (-1, 1298, 978, 8), (-1, 1298, 979, 9), (-1, 1297, 980, 12), (-1, 1296, 981, 14), (-1, 1296, 982, 16), (-1, 1295, 983, 18), (-1, 1295, 984, 20), (-1, 1294, 985, 23), (-1, 1293, 986, 25), (-1, 1293, 987, 27), (-1, 1292, 988, 29), (-1, 1292, 989, 31), (-1, 1291, 990, 33), (-1, 1290, 991, 36), (-1, 1290, 992, 37), (-1, 1289, 993, 36), (-1, 1289, 994, 33), (-1, 1288, 995, 31), (-1, 1287, 996, 29), (-1, 1287, 997, 26), (-1, 1286, 998, 24), (-1, 1286, 999, 21), (-1, 1285, 1000, 19), (-1, 1284, 1001, 17), (-1, 1284, 1002, 14), (-1, 1283, 1003, 12), (-1, 1283, 1004, 9), (-1, 1282, 1005, 7), (-1, 1282, 1006, 4), (-1, 1281, 1007, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 870, 'x1': 1438, 'y0': 1002, 'y1': 1568, 'score': 1.0, 'id': None, 'points': ['1438,1568,1440,1407,1380,1406,1314,1394,1300,1388,1288,1383,1278,1368,1251,1380,1230,1418,1017,1313,1075,1185,1033,1128,1050,1116,1123,1071,945,1047,936,1040,931,1026,927,1002,901,1022,870,1137,916,1146,933,1148,948,1151,954,1155,973,1187,981,1199,978,1334,1002,1338,1006,1344,1017,1349,1054,1356,1066,1364,1072,1376,1083,1383,1086,1389,1057,1520,1065,1520,1089,1431,1107,1425,1126,1424,1141,1424,1153,1427,1168,1425,1182,1430,1194,1443,1204,1448,1219,1457,1225,1461,1234,1455,1240,1443,1263,1422,1269,1410,1285,1434,1336,1484,1372,1517'], 'sub_photo_id': 0, 'rles': [(-1, 927, 1002, 1), (-1, 926, 1003, 2), (-1, 924, 1004, 4), (-1, 923, 1005, 6), (-1, 922, 1006, 7), (-1, 920, 1007, 9), (-1, 919, 1008, 10), (-1, 918, 1009, 11), (-1, 916, 1010, 13), (-1, 915, 1011, 15), (-1, 914, 1012, 16), (-1, 913, 1013, 17), (-1, 911, 1014, 19), (-1, 910, 1015, 20), (-1, 909, 1016, 21), (-1, 907, 1017, 24), (-1, 906, 1018, 25), (-1, 905, 1019, 26), (-1, 903, 1020, 28), (-1, 902, 1021, 29), (-1, 901, 1022, 30), (-1, 901, 1023, 31), (-1, 900, 1024, 32), (-1, 900, 1025, 32), (-1, 900, 1026, 32), (-1, 900, 1027, 32), (-1, 899, 1028, 34), (-1, 899, 1029, 34), (-1, 899, 1030, 34), (-1, 899, 1031, 35), (-1, 898, 1032, 36), (-1, 898, 1033, 37), (-1, 898, 1034, 37), (-1, 897, 1035, 38), (-1, 897, 1036, 39), (-1, 897, 1037, 39), (-1, 897, 1038, 39), (-1, 896, 1039, 41), (-1, 896, 1040, 41), (-1, 896, 1041, 42), (-1, 896, 1042, 44), (-1, 895, 1043, 46), (-1, 895, 1044, 47), (-1, 895, 1045, 49), (-1, 895, 1046, 50), (-1, 894, 1047, 55), (-1, 894, 1048, 63), (-1, 894, 1049, 70), (-1, 893, 1050, 78), (-1, 893, 1051, 86), (-1, 893, 1052, 93), (-1, 893, 1053, 101), (-1, 892, 1054, 109), (-1, 892, 1055, 117), (-1, 892, 1056, 124), (-1, 892, 1057, 131), (-1, 891, 1058, 140), (-1, 891, 1059, 147), (-1, 891, 1060, 155), (-1, 890, 1061, 163), (-1, 890, 1062, 170), (-1, 890, 1063, 178), (-1, 890, 1064, 185), (-1, 889, 1065, 194), (-1, 889, 1066, 201), (-1, 889, 1067, 209), (-1, 889, 1068, 216), (-1, 888, 1069, 224), (-1, 888, 1070, 232), (-1, 888, 1071, 236), (-1, 888, 1072, 235), (-1, 887, 1073, 234), (-1, 887, 1074, 232), (-1, 887, 1075, 231), (-1, 886, 1076, 230), (-1, 886, 1077, 229), (-1, 886, 1078, 227), (-1, 886, 1079, 225), (-1, 885, 1080, 225), (-1, 885, 1081, 223), (-1, 885, 1082, 221), (-1, 885, 1083, 220), (-1, 884, 1084, 219), (-1, 884, 1085, 218), (-1, 884, 1086, 216), (-1, 883, 1087, 215), (-1, 883, 1088, 214), (-1, 883, 1089, 212), (-1, 883, 1090, 210), (-1, 882, 1091, 210), (-1, 882, 1092, 208), (-1, 882, 1093, 207), (-1, 882, 1094, 205), (-1, 881, 1095, 204), (-1, 881, 1096, 203), (-1, 881, 1097, 201), (-1, 881, 1098, 200), (-1, 880, 1099, 199), (-1, 880, 1100, 197), (-1, 880, 1101, 196), (-1, 879, 1102, 195), (-1, 879, 1103, 193), (-1, 879, 1104, 192), (-1, 879, 1105, 190), (-1, 878, 1106, 190), (-1, 878, 1107, 188), (-1, 878, 1108, 186), (-1, 878, 1109, 185), (-1, 877, 1110, 184), (-1, 877, 1111, 182), (-1, 877, 1112, 181), (-1, 876, 1113, 180), (-1, 876, 1114, 179), (-1, 876, 1115, 177), (-1, 876, 1116, 175), (-1, 875, 1117, 175), (-1, 875, 1118, 173), (-1, 875, 1119, 172), (-1, 875, 1120, 171), (-1, 874, 1121, 170), (-1, 874, 1122, 169), (-1, 874, 1123, 167), (-1, 874, 1124, 166), (-1, 873, 1125, 165), (-1, 873, 1126, 164), (-1, 873, 1127, 163), (-1, 872, 1128, 162), (-1, 872, 1129, 163), (-1, 872, 1130, 163), (-1, 872, 1131, 164), (-1, 871, 1132, 166), (-1, 871, 1133, 167), (-1, 871, 1134, 167), (-1, 871, 1135, 168), (-1, 870, 1136, 170), (-1, 870, 1137, 171), (-1, 873, 1138, 168), (-1, 878, 1139, 164), (-1, 883, 1140, 160), (-1, 888, 1141, 156), (-1, 893, 1142, 151), (-1, 899, 1143, 146), (-1, 904, 1144, 142), (-1, 909, 1145, 138), (-1, 914, 1146, 133), (-1, 921, 1147, 127), (-1, 929, 1148, 120), (-1, 936, 1149, 113), (-1, 941, 1150, 109), (-1, 946, 1151, 105), (-1, 949, 1152, 103), (-1, 951, 1153, 101), (-1, 952, 1154, 101), (-1, 954, 1155, 100), (-1, 955, 1156, 100), (-1, 955, 1157, 100), (-1, 956, 1158, 100), (-1, 956, 1159, 101), (-1, 957, 1160, 101), (-1, 958, 1161, 100), (-1, 958, 1162, 101), (-1, 959, 1163, 101), (-1, 959, 1164, 102), (-1, 960, 1165, 101), (-1, 961, 1166, 101), (-1, 961, 1167, 102), (-1, 962, 1168, 101), (-1, 962, 1169, 102), (-1, 963, 1170, 102), (-1, 964, 1171, 102), (-1, 964, 1172, 102), (-1, 965, 1173, 102), (-1, 965, 1174, 103), (-1, 966, 1175, 103), (-1, 966, 1176, 103), (-1, 967, 1177, 103), (-1, 968, 1178, 103), (-1, 968, 1179, 104), (-1, 969, 1180, 103), (-1, 969, 1181, 104), (-1, 970, 1182, 104), (-1, 971, 1183, 104), (-1, 971, 1184, 104), (-1, 972, 1185, 104), (-1, 972, 1186, 104), (-1, 973, 1187, 102), (-1, 974, 1188, 101), (-1, 974, 1189, 100), (-1, 975, 1190, 99), (-1, 976, 1191, 97), (-1, 976, 1192, 97), (-1, 977, 1193, 95), (-1, 978, 1194, 94), (-1, 978, 1195, 93), (-1, 979, 1196, 92), (-1, 980, 1197, 91), (-1, 980, 1198, 90), (-1, 981, 1199, 89), (-1, 981, 1200, 88), (-1, 981, 1201, 88), (-1, 981, 1202, 87), (-1, 981, 1203, 87), (-1, 981, 1204, 86), (-1, 981, 1205, 86), (-1, 981, 1206, 85), (-1, 981, 1207, 85), (-1, 981, 1208, 85), (-1, 981, 1209, 84), (-1, 981, 1210, 84), (-1, 981, 1211, 83), (-1, 981, 1212, 83), (-1, 981, 1213, 82), (-1, 981, 1214, 82), (-1, 981, 1215, 81), (-1, 981, 1216, 81), (-1, 981, 1217, 80), (-1, 981, 1218, 80), (-1, 981, 1219, 80), (-1, 981, 1220, 79), (-1, 981, 1221, 79), (-1, 980, 1222, 79), (-1, 980, 1223, 79), (-1, 980, 1224, 78), (-1, 980, 1225, 78), (-1, 980, 1226, 77), (-1, 980, 1227, 77), (-1, 980, 1228, 77), (-1, 980, 1229, 76), (-1, 980, 1230, 76), (-1, 980, 1231, 75), (-1, 980, 1232, 75), (-1, 980, 1233, 74), (-1, 980, 1234, 74), (-1, 980, 1235, 73), (-1, 980, 1236, 73), (-1, 980, 1237, 72), (-1, 980, 1238, 72), (-1, 980, 1239, 72), (-1, 980, 1240, 71), (-1, 980, 1241, 71), (-1, 980, 1242, 70), (-1, 980, 1243, 70), (-1, 980, 1244, 69), (-1, 980, 1245, 69), (-1, 980, 1246, 68), (-1, 980, 1247, 68), (-1, 980, 1248, 67), (-1, 980, 1249, 67), (-1, 980, 1250, 67), (-1, 980, 1251, 66), (-1, 980, 1252, 66), (-1, 980, 1253, 65), (-1, 980, 1254, 65), (-1, 980, 1255, 64), (-1, 980, 1256, 64), (-1, 980, 1257, 63), (-1, 980, 1258, 63), (-1, 980, 1259, 62), (-1, 980, 1260, 62), (-1, 980, 1261, 62), (-1, 980, 1262, 61), (-1, 980, 1263, 61), (-1, 980, 1264, 60), (-1, 980, 1265, 60), (-1, 980, 1266, 59), (-1, 979, 1267, 60), (-1, 979, 1268, 59), (-1, 979, 1269, 59), (-1, 979, 1270, 58), (-1, 979, 1271, 58), (-1, 979, 1272, 58), (-1, 979, 1273, 57), (-1, 979, 1274, 57), (-1, 979, 1275, 56), (-1, 979, 1276, 56), (-1, 979, 1277, 55), (-1, 979, 1278, 55), (-1, 979, 1279, 54), (-1, 979, 1280, 54), (-1, 979, 1281, 53), (-1, 979, 1282, 53), (-1, 979, 1283, 53), (-1, 979, 1284, 52), (-1, 979, 1285, 52), (-1, 979, 1286, 51), (-1, 979, 1287, 51), (-1, 979, 1288, 50), (-1, 979, 1289, 50), (-1, 979, 1290, 49), (-1, 979, 1291, 49), (-1, 979, 1292, 49), (-1, 979, 1293, 48), (-1, 979, 1294, 48), (-1, 979, 1295, 47), (-1, 979, 1296, 47), (-1, 979, 1297, 46), (-1, 979, 1298, 46), (-1, 979, 1299, 45), (-1, 979, 1300, 45), (-1, 979, 1301, 44), (-1, 979, 1302, 44), (-1, 979, 1303, 44), (-1, 979, 1304, 43), (-1, 979, 1305, 43), (-1, 979, 1306, 42), (-1, 979, 1307, 42), (-1, 979, 1308, 41), (-1, 979, 1309, 41), (-1, 979, 1310, 40), (-1, 979, 1311, 40), (-1, 978, 1312, 40), (-1, 978, 1313, 41), (-1, 978, 1314, 43), (-1, 978, 1315, 45), (-1, 978, 1316, 47), (-1, 978, 1317, 49), (-1, 978, 1318, 51), (-1, 978, 1319, 53), (-1, 978, 1320, 55), (-1, 978, 1321, 57), (-1, 978, 1322, 59), (-1, 978, 1323, 61), (-1, 978, 1324, 63), (-1, 978, 1325, 65), (-1, 978, 1326, 67), (-1, 978, 1327, 69), (-1, 978, 1328, 71), (-1, 978, 1329, 73), (-1, 978, 1330, 75), (-1, 978, 1331, 77), (-1, 978, 1332, 79), (-1, 978, 1333, 81), (-1, 978, 1334, 83), (-1, 981, 1335, 82), (-1, 987, 1336, 78), (-1, 993, 1337, 74), (-1, 999, 1338, 70), (-1, 1003, 1339, 68), (-1, 1003, 1340, 70), (-1, 1004, 1341, 71), (-1, 1005, 1342, 72), (-1, 1005, 1343, 74), (-1, 1006, 1344, 75), (-1, 1008, 1345, 75), (-1, 1010, 1346, 75), (-1, 1012, 1347, 75), (-1, 1014, 1348, 76), (-1, 1016, 1349, 76), (-1, 1020, 1350, 74), (-1, 1025, 1351, 71), (-1, 1031, 1352, 67), (-1, 1036, 1353, 64), (-1, 1041, 1354, 61), (-1, 1047, 1355, 57), (-1, 1052, 1356, 54), (-1, 1055, 1357, 53), (-1, 1057, 1358, 53), (-1, 1058, 1359, 54), (-1, 1060, 1360, 54), (-1, 1061, 1361, 55), (-1, 1063, 1362, 55), (-1, 1064, 1363, 56), (-1, 1066, 1364, 56), (-1, 1067, 1365, 57), (-1, 1067, 1366, 59), (-1, 1068, 1367, 60), (-1, 1068, 1368, 62), (-1, 1277, 1368, 2), (-1, 1069, 1369, 63), (-1, 1275, 1369, 5), (-1, 1069, 1370, 65), (-1, 1273, 1370, 7), (-1, 1070, 1371, 66), (-1, 1271, 1371, 10), (-1, 1070, 1372, 68), (-1, 1268, 1372, 14), (-1, 1071, 1373, 69), (-1, 1266, 1373, 16), (-1, 1071, 1374, 71), (-1, 1264, 1374, 19), (-1, 1072, 1375, 72), (-1, 1262, 1375, 22), (-1, 1072, 1376, 74), (-1, 1259, 1376, 25), (-1, 1073, 1377, 75), (-1, 1257, 1377, 28), (-1, 1075, 1378, 75), (-1, 1255, 1378, 31), (-1, 1076, 1379, 76), (-1, 1253, 1379, 33), (-1, 1078, 1380, 76), (-1, 1251, 1380, 36), (-1, 1080, 1381, 76), (-1, 1250, 1381, 38), (-1, 1081, 1382, 77), (-1, 1250, 1382, 38), (-1, 1083, 1383, 78), (-1, 1249, 1383, 41), (-1, 1084, 1384, 79), (-1, 1249, 1384, 43), (-1, 1084, 1385, 81), (-1, 1248, 1385, 46), (-1, 1085, 1386, 82), (-1, 1248, 1386, 49), (-1, 1085, 1387, 84), (-1, 1247, 1387, 52), (-1, 1086, 1388, 85), (-1, 1247, 1388, 55), (-1, 1086, 1389, 87), (-1, 1246, 1389, 58), (-1, 1086, 1390, 89), (-1, 1245, 1390, 61), (-1, 1086, 1391, 91), (-1, 1245, 1391, 64), (-1, 1085, 1392, 94), (-1, 1244, 1392, 67), (-1, 1085, 1393, 96), (-1, 1244, 1393, 69), (-1, 1085, 1394, 98), (-1, 1243, 1394, 74), (-1, 1085, 1395, 100), (-1, 1243, 1395, 80), (-1, 1084, 1396, 103), (-1, 1242, 1396, 86), (-1, 1084, 1397, 105), (-1, 1242, 1397, 92), (-1, 1084, 1398, 107), (-1, 1241, 1398, 98), (-1, 1084, 1399, 109), (-1, 1240, 1399, 105), (-1, 1084, 1400, 111), (-1, 1240, 1400, 110), (-1, 1083, 1401, 114), (-1, 1239, 1401, 117), (-1, 1083, 1402, 116), (-1, 1239, 1402, 122), (-1, 1083, 1403, 118), (-1, 1238, 1403, 129), (-1, 1083, 1404, 120), (-1, 1238, 1404, 134), (-1, 1082, 1405, 123), (-1, 1237, 1405, 141), (-1, 1082, 1406, 125), (-1, 1237, 1406, 172), (-1, 1082, 1407, 127), (-1, 1236, 1407, 203), (-1, 1082, 1408, 129), (-1, 1236, 1408, 203), (-1, 1082, 1409, 131), (-1, 1235, 1409, 204), (-1, 1081, 1410, 134), (-1, 1234, 1410, 205), (-1, 1081, 1411, 136), (-1, 1234, 1411, 35), (-1, 1270, 1411, 169), (-1, 1081, 1412, 138), (-1, 1233, 1412, 36), (-1, 1270, 1412, 169), (-1, 1081, 1413, 140), (-1, 1233, 1413, 35), (-1, 1271, 1413, 168), (-1, 1080, 1414, 143), (-1, 1232, 1414, 36), (-1, 1272, 1414, 167), (-1, 1080, 1415, 145), (-1, 1232, 1415, 35), (-1, 1272, 1415, 167), (-1, 1080, 1416, 147), (-1, 1231, 1416, 36), (-1, 1273, 1416, 166), (-1, 1080, 1417, 149), (-1, 1231, 1417, 35), (-1, 1274, 1417, 165), (-1, 1080, 1418, 186), (-1, 1274, 1418, 165), (-1, 1079, 1419, 186), (-1, 1275, 1419, 164), (-1, 1079, 1420, 186), (-1, 1276, 1420, 163), (-1, 1079, 1421, 185), (-1, 1276, 1421, 163), (-1, 1079, 1422, 185), (-1, 1277, 1422, 162), (-1, 1078, 1423, 185), (-1, 1278, 1423, 161), (-1, 1078, 1424, 184), (-1, 1278, 1424, 161), (-1, 1078, 1425, 39), (-1, 1143, 1425, 118), (-1, 1279, 1425, 160), (-1, 1078, 1426, 28), (-1, 1147, 1426, 18), (-1, 1170, 1426, 90), (-1, 1280, 1426, 159), (-1, 1078, 1427, 25), (-1, 1151, 1427, 6), (-1, 1173, 1427, 86), (-1, 1280, 1427, 159), (-1, 1077, 1428, 23), (-1, 1175, 1428, 82), (-1, 1281, 1428, 158), (-1, 1077, 1429, 20), (-1, 1178, 1429, 78), (-1, 1282, 1429, 157), (-1, 1077, 1430, 17), (-1, 1181, 1430, 74), (-1, 1282, 1430, 157), (-1, 1077, 1431, 14), (-1, 1183, 1431, 71), (-1, 1283, 1431, 156), (-1, 1076, 1432, 14), (-1, 1184, 1432, 69), (-1, 1284, 1432, 155), (-1, 1076, 1433, 13), (-1, 1185, 1433, 67), (-1, 1284, 1433, 155), (-1, 1076, 1434, 13), (-1, 1186, 1434, 65), (-1, 1285, 1434, 154), (-1, 1076, 1435, 13), (-1, 1187, 1435, 63), (-1, 1286, 1435, 153), (-1, 1076, 1436, 13), (-1, 1188, 1436, 61), (-1, 1287, 1436, 152), (-1, 1075, 1437, 13), (-1, 1188, 1437, 60), (-1, 1288, 1437, 151), (-1, 1075, 1438, 13), (-1, 1189, 1438, 58), (-1, 1289, 1438, 150), (-1, 1075, 1439, 13), (-1, 1190, 1439, 55), (-1, 1290, 1439, 149), (-1, 1075, 1440, 13), (-1, 1191, 1440, 53), (-1, 1291, 1440, 148), (-1, 1074, 1441, 13), (-1, 1192, 1441, 51), (-1, 1292, 1441, 147), (-1, 1074, 1442, 13), (-1, 1193, 1442, 49), (-1, 1293, 1442, 146), (-1, 1074, 1443, 13), (-1, 1194, 1443, 47), (-1, 1294, 1443, 145), (-1, 1074, 1444, 12), (-1, 1195, 1444, 45), (-1, 1295, 1444, 144), (-1, 1074, 1445, 12), (-1, 1197, 1445, 43), (-1, 1296, 1445, 143), (-1, 1073, 1446, 13), (-1, 1199, 1446, 40), (-1, 1297, 1446, 142), (-1, 1073, 1447, 13), (-1, 1201, 1447, 38), (-1, 1298, 1447, 141), (-1, 1073, 1448, 12), (-1, 1203, 1448, 35), (-1, 1299, 1448, 140), (-1, 1073, 1449, 12), (-1, 1205, 1449, 33), (-1, 1300, 1449, 139), (-1, 1072, 1450, 13), (-1, 1207, 1450, 30), (-1, 1301, 1450, 138), (-1, 1072, 1451, 13), (-1, 1209, 1451, 28), (-1, 1302, 1451, 137), (-1, 1072, 1452, 12), (-1, 1210, 1452, 26), (-1, 1303, 1452, 136), (-1, 1072, 1453, 12), (-1, 1212, 1453, 24), (-1, 1304, 1453, 135), (-1, 1072, 1454, 12), (-1, 1214, 1454, 21), (-1, 1305, 1454, 134), (-1, 1071, 1455, 13), (-1, 1215, 1455, 20), (-1, 1306, 1455, 133), (-1, 1071, 1456, 12), (-1, 1217, 1456, 17), (-1, 1307, 1456, 132), (-1, 1071, 1457, 12), (-1, 1219, 1457, 13), (-1, 1308, 1457, 131), (-1, 1071, 1458, 12), (-1, 1220, 1458, 11), (-1, 1309, 1458, 130), (-1, 1071, 1459, 11), (-1, 1222, 1459, 7), (-1, 1310, 1459, 129), (-1, 1070, 1460, 12), (-1, 1223, 1460, 5), (-1, 1312, 1460, 127), (-1, 1070, 1461, 12), (-1, 1225, 1461, 1), (-1, 1313, 1461, 126), (-1, 1070, 1462, 12), (-1, 1314, 1462, 125), (-1, 1070, 1463, 11), (-1, 1315, 1463, 124), (-1, 1069, 1464, 12), (-1, 1316, 1464, 123), (-1, 1069, 1465, 12), (-1, 1317, 1465, 122), (-1, 1069, 1466, 12), (-1, 1318, 1466, 121), (-1, 1069, 1467, 11), (-1, 1319, 1467, 120), (-1, 1069, 1468, 11), (-1, 1320, 1468, 119), (-1, 1068, 1469, 12), (-1, 1321, 1469, 118), (-1, 1068, 1470, 11), (-1, 1322, 1470, 117), (-1, 1068, 1471, 11), (-1, 1323, 1471, 116), (-1, 1068, 1472, 11), (-1, 1324, 1472, 115), (-1, 1067, 1473, 12), (-1, 1325, 1473, 114), (-1, 1067, 1474, 11), (-1, 1326, 1474, 113), (-1, 1067, 1475, 11), (-1, 1327, 1475, 112), (-1, 1067, 1476, 11), (-1, 1328, 1476, 111), (-1, 1067, 1477, 11), (-1, 1329, 1477, 110), (-1, 1066, 1478, 11), (-1, 1330, 1478, 109), (-1, 1066, 1479, 11), (-1, 1331, 1479, 108), (-1, 1066, 1480, 11), (-1, 1332, 1480, 107), (-1, 1066, 1481, 11), (-1, 1333, 1481, 106), (-1, 1065, 1482, 11), (-1, 1334, 1482, 105), (-1, 1065, 1483, 11), (-1, 1335, 1483, 104), (-1, 1065, 1484, 11), (-1, 1336, 1484, 103), (-1, 1065, 1485, 10), (-1, 1337, 1485, 102), (-1, 1065, 1486, 10), (-1, 1338, 1486, 101), (-1, 1064, 1487, 11), (-1, 1339, 1487, 100), (-1, 1064, 1488, 11), (-1, 1340, 1488, 99), (-1, 1064, 1489, 10), (-1, 1341, 1489, 98), (-1, 1064, 1490, 10), (-1, 1342, 1490, 97), (-1, 1063, 1491, 11), (-1, 1344, 1491, 95), (-1, 1063, 1492, 11), (-1, 1345, 1492, 94), (-1, 1063, 1493, 10), (-1, 1346, 1493, 93), (-1, 1063, 1494, 10), (-1, 1347, 1494, 92), (-1, 1063, 1495, 10), (-1, 1348, 1495, 91), (-1, 1062, 1496, 10), (-1, 1349, 1496, 90), (-1, 1062, 1497, 10), (-1, 1350, 1497, 89), (-1, 1062, 1498, 10), (-1, 1351, 1498, 88), (-1, 1062, 1499, 10), (-1, 1352, 1499, 87), (-1, 1061, 1500, 10), (-1, 1353, 1500, 86), (-1, 1061, 1501, 10), (-1, 1354, 1501, 85), (-1, 1061, 1502, 10), (-1, 1356, 1502, 83), (-1, 1061, 1503, 10), (-1, 1357, 1503, 82), (-1, 1061, 1504, 9), (-1, 1358, 1504, 81), (-1, 1060, 1505, 10), (-1, 1359, 1505, 80), (-1, 1060, 1506, 10), (-1, 1360, 1506, 79), (-1, 1060, 1507, 10), (-1, 1361, 1507, 78), (-1, 1060, 1508, 9), (-1, 1362, 1508, 77), (-1, 1059, 1509, 10), (-1, 1363, 1509, 76), (-1, 1059, 1510, 10), (-1, 1364, 1510, 75), (-1, 1059, 1511, 9), (-1, 1365, 1511, 74), (-1, 1059, 1512, 9), (-1, 1366, 1512, 73), (-1, 1059, 1513, 9), (-1, 1368, 1513, 71), (-1, 1058, 1514, 10), (-1, 1369, 1514, 70), (-1, 1058, 1515, 9), (-1, 1370, 1515, 69), (-1, 1058, 1516, 9), (-1, 1371, 1516, 68), (-1, 1058, 1517, 9), (-1, 1372, 1517, 67), (-1, 1057, 1518, 10), (-1, 1373, 1518, 66), (-1, 1057, 1519, 9), (-1, 1374, 1519, 65), (-1, 1057, 1520, 9), (-1, 1376, 1520, 63), (-1, 1377, 1521, 62), (-1, 1378, 1522, 61), (-1, 1380, 1523, 59), (-1, 1381, 1524, 58), (-1, 1382, 1525, 57), (-1, 1383, 1526, 56), (-1, 1385, 1527, 54), (-1, 1386, 1528, 53), (-1, 1387, 1529, 52), (-1, 1389, 1530, 50), (-1, 1390, 1531, 49), (-1, 1391, 1532, 48), (-1, 1393, 1533, 46), (-1, 1394, 1534, 45), (-1, 1395, 1535, 44), (-1, 1396, 1536, 43), (-1, 1398, 1537, 41), (-1, 1399, 1538, 40), (-1, 1400, 1539, 39), (-1, 1402, 1540, 37), (-1, 1403, 1541, 36), (-1, 1404, 1542, 35), (-1, 1405, 1543, 34), (-1, 1407, 1544, 32), (-1, 1408, 1545, 31), (-1, 1409, 1546, 30), (-1, 1411, 1547, 28), (-1, 1412, 1548, 27), (-1, 1413, 1549, 26), (-1, 1415, 1550, 24), (-1, 1416, 1551, 23), (-1, 1417, 1552, 22), (-1, 1418, 1553, 21), (-1, 1420, 1554, 19), (-1, 1421, 1555, 18), (-1, 1422, 1556, 17), (-1, 1424, 1557, 15), (-1, 1425, 1558, 14), (-1, 1426, 1559, 13), (-1, 1427, 1560, 12), (-1, 1429, 1561, 10), (-1, 1430, 1562, 9), (-1, 1431, 1563, 8), (-1, 1433, 1564, 6), (-1, 1434, 1565, 5), (-1, 1435, 1566, 4), (-1, 1437, 1567, 2), (-1, 1438, 1568, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 2107752385, 'type': 3230, 'x0': 525, 'x1': 766, 'y0': 689, 'y1': 899, 'score': 1.0, 'id': None, 'points': ['591,899,676,863,708,851,754,785,766,770,732,707,720,696,708,696,684,689,670,689,636,702,604,710,544,725,535,729,531,737,531,750,532,764,538,783,525,794'], 'sub_photo_id': 0, 'rles': [(-1, 669, 689, 17), (-1, 667, 690, 23), (-1, 664, 691, 29), (-1, 661, 692, 35), (-1, 659, 693, 41), (-1, 656, 694, 47), (-1, 654, 695, 53), (-1, 651, 696, 70), (-1, 648, 697, 74), (-1, 646, 698, 77), (-1, 643, 699, 81), (-1, 640, 700, 85), (-1, 638, 701, 88), (-1, 635, 702, 93), (-1, 631, 703, 98), (-1, 627, 704, 103), (-1, 623, 705, 108), (-1, 619, 706, 113), (-1, 615, 707, 118), (-1, 611, 708, 123), (-1, 607, 709, 127), (-1, 603, 710, 132), (-1, 599, 711, 136), (-1, 595, 712, 141), (-1, 591, 713, 145), (-1, 587, 714, 150), (-1, 583, 715, 154), (-1, 579, 716, 159), (-1, 575, 717, 163), (-1, 571, 718, 168), (-1, 567, 719, 172), (-1, 563, 720, 177), (-1, 559, 721, 182), (-1, 555, 722, 186), (-1, 551, 723, 191), (-1, 547, 724, 195), (-1, 543, 725, 200), (-1, 541, 726, 202), (-1, 539, 727, 205), (-1, 537, 728, 207), (-1, 535, 729, 210), (-1, 534, 730, 211), (-1, 534, 731, 212), (-1, 533, 732, 213), (-1, 533, 733, 214), (-1, 532, 734, 216), (-1, 532, 735, 216), (-1, 531, 736, 218), (-1, 531, 737, 218), (-1, 531, 738, 219), (-1, 531, 739, 219), (-1, 531, 740, 220), (-1, 531, 741, 220), (-1, 531, 742, 221), (-1, 531, 743, 221), (-1, 531, 744, 222), (-1, 531, 745, 223), (-1, 531, 746, 223), (-1, 531, 747, 224), (-1, 531, 748, 224), (-1, 531, 749, 225), (-1, 531, 750, 225), (-1, 531, 751, 226), (-1, 531, 752, 226), (-1, 531, 753, 227), (-1, 531, 754, 227), (-1, 531, 755, 228), (-1, 531, 756, 228), (-1, 532, 757, 228), (-1, 532, 758, 229), (-1, 532, 759, 229), (-1, 532, 760, 230), (-1, 532, 761, 230), (-1, 532, 762, 231), (-1, 532, 763, 231), (-1, 532, 764, 232), (-1, 532, 765, 232), (-1, 533, 766, 232), (-1, 533, 767, 232), (-1, 533, 768, 233), (-1, 534, 769, 232), (-1, 534, 770, 233), (-1, 534, 771, 232), (-1, 535, 772, 230), (-1, 535, 773, 230), (-1, 535, 774, 229), (-1, 535, 775, 228), (-1, 536, 776, 226), (-1, 536, 777, 225), (-1, 536, 778, 225), (-1, 537, 779, 223), (-1, 537, 780, 222), (-1, 537, 781, 221), (-1, 538, 782, 219), (-1, 538, 783, 219), (-1, 537, 784, 219), (-1, 536, 785, 219), (-1, 534, 786, 220), (-1, 533, 787, 221), (-1, 532, 788, 221), (-1, 531, 789, 221), (-1, 530, 790, 222), (-1, 528, 791, 223), (-1, 527, 792, 223), (-1, 526, 793, 223), (-1, 525, 794, 224), (-1, 526, 795, 222), (-1, 526, 796, 221), (-1, 527, 797, 220), (-1, 528, 798, 218), (-1, 528, 799, 217), (-1, 529, 800, 216), (-1, 529, 801, 215), (-1, 530, 802, 213), (-1, 531, 803, 211), (-1, 531, 804, 211), (-1, 532, 805, 209), (-1, 533, 806, 207), (-1, 533, 807, 207), (-1, 534, 808, 205), (-1, 534, 809, 204), (-1, 535, 810, 203), (-1, 536, 811, 201), (-1, 536, 812, 200), (-1, 537, 813, 198), (-1, 538, 814, 197), (-1, 538, 815, 196), (-1, 539, 816, 194), (-1, 539, 817, 194), (-1, 540, 818, 192), (-1, 541, 819, 190), (-1, 541, 820, 190), (-1, 542, 821, 188), (-1, 543, 822, 186), (-1, 543, 823, 186), (-1, 544, 824, 184), (-1, 544, 825, 183), (-1, 545, 826, 181), (-1, 546, 827, 180), (-1, 546, 828, 179), (-1, 547, 829, 177), (-1, 548, 830, 176), (-1, 548, 831, 175), (-1, 549, 832, 173), (-1, 550, 833, 172), (-1, 550, 834, 171), (-1, 551, 835, 169), (-1, 551, 836, 168), (-1, 552, 837, 167), (-1, 553, 838, 165), (-1, 553, 839, 164), (-1, 554, 840, 163), (-1, 555, 841, 161), (-1, 555, 842, 160), (-1, 556, 843, 159), (-1, 556, 844, 158), (-1, 557, 845, 156), (-1, 558, 846, 154), (-1, 558, 847, 154), (-1, 559, 848, 152), (-1, 560, 849, 150), (-1, 560, 850, 150), (-1, 561, 851, 148), (-1, 561, 852, 146), (-1, 562, 853, 143), (-1, 563, 854, 139), (-1, 563, 855, 136), (-1, 564, 856, 133), (-1, 565, 857, 129), (-1, 565, 858, 126), (-1, 566, 859, 123), (-1, 566, 860, 120), (-1, 567, 861, 116), (-1, 568, 862, 113), (-1, 568, 863, 110), (-1, 569, 864, 106), (-1, 570, 865, 103), (-1, 570, 866, 101), (-1, 571, 867, 97), (-1, 572, 868, 94), (-1, 572, 869, 92), (-1, 573, 870, 88), (-1, 573, 871, 86), (-1, 574, 872, 82), (-1, 575, 873, 79), (-1, 575, 874, 77), (-1, 576, 875, 73), (-1, 577, 876, 70), (-1, 577, 877, 68), (-1, 578, 878, 64), (-1, 578, 879, 62), (-1, 579, 880, 59), (-1, 580, 881, 55), (-1, 580, 882, 53), (-1, 581, 883, 49), (-1, 582, 884, 46), (-1, 582, 885, 44), (-1, 583, 886, 40), (-1, 583, 887, 38), (-1, 584, 888, 35), (-1, 585, 889, 31), (-1, 585, 890, 29), (-1, 586, 891, 26), (-1, 587, 892, 22), (-1, 587, 893, 20), (-1, 588, 894, 16), (-1, 588, 895, 14), (-1, 589, 896, 11), (-1, 590, 897, 7), (-1, 590, 898, 5), (-1, 591, 899, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1057, 'x1': 1435, 'y0': 740, 'y1': 1017, 'score': 1.0, 'id': None, 'points': ['1230,1007,1269,962,1279,959,1291,960,1303,957,1345,908,1362,896,1377,881,1419,818,1435,786,1426,777,1354,740,1354,753,1347,767,1342,780,1324,788,1306,797,1267,807,1137,828,1126,830,1057,857,1204,876,1206,885,1200,927,1201,1002,1215,1017'], 'sub_photo_id': 0, 'rles': [(-1, 1354, 740, 1), (-1, 1354, 741, 3), (-1, 1354, 742, 5), (-1, 1354, 743, 7), (-1, 1354, 744, 9), (-1, 1354, 745, 11), (-1, 1354, 746, 13), (-1, 1354, 747, 15), (-1, 1354, 748, 17), (-1, 1354, 749, 19), (-1, 1354, 750, 21), (-1, 1354, 751, 23), (-1, 1354, 752, 25), (-1, 1354, 753, 27), (-1, 1353, 754, 30), (-1, 1353, 755, 32), (-1, 1352, 756, 35), (-1, 1352, 757, 37), (-1, 1351, 758, 39), (-1, 1351, 759, 41), (-1, 1350, 760, 44), (-1, 1350, 761, 46), (-1, 1349, 762, 49), (-1, 1349, 763, 51), (-1, 1348, 764, 54), (-1, 1348, 765, 56), (-1, 1347, 766, 59), (-1, 1347, 767, 61), (-1, 1347, 768, 63), (-1, 1346, 769, 66), (-1, 1346, 770, 68), (-1, 1345, 771, 71), (-1, 1345, 772, 73), (-1, 1345, 773, 75), (-1, 1344, 774, 78), (-1, 1344, 775, 80), (-1, 1344, 776, 82), (-1, 1343, 777, 84), (-1, 1343, 778, 85), (-1, 1342, 779, 87), (-1, 1341, 780, 89), (-1, 1339, 781, 92), (-1, 1337, 782, 95), (-1, 1335, 783, 98), (-1, 1332, 784, 102), (-1, 1330, 785, 105), (-1, 1328, 786, 108), (-1, 1326, 787, 109), (-1, 1324, 788, 111), (-1, 1322, 789, 112), (-1, 1320, 790, 114), (-1, 1318, 791, 115), (-1, 1316, 792, 117), (-1, 1314, 793, 118), (-1, 1312, 794, 120), (-1, 1310, 795, 121), (-1, 1308, 796, 123), (-1, 1305, 797, 125), (-1, 1301, 798, 129), (-1, 1297, 799, 132), (-1, 1293, 800, 136), (-1, 1289, 801, 139), (-1, 1285, 802, 143), (-1, 1281, 803, 146), (-1, 1277, 804, 150), (-1, 1273, 805, 153), (-1, 1269, 806, 157), (-1, 1264, 807, 161), (-1, 1258, 808, 167), (-1, 1252, 809, 172), (-1, 1246, 810, 178), (-1, 1240, 811, 183), (-1, 1233, 812, 190), (-1, 1227, 813, 195), (-1, 1221, 814, 201), (-1, 1215, 815, 206), (-1, 1209, 816, 212), (-1, 1203, 817, 217), (-1, 1196, 818, 224), (-1, 1190, 819, 229), (-1, 1184, 820, 235), (-1, 1178, 821, 240), (-1, 1172, 822, 245), (-1, 1165, 823, 252), (-1, 1159, 824, 257), (-1, 1153, 825, 262), (-1, 1147, 826, 268), (-1, 1141, 827, 273), (-1, 1135, 828, 278), (-1, 1129, 829, 284), (-1, 1125, 830, 287), (-1, 1123, 831, 288), (-1, 1120, 832, 291), (-1, 1118, 833, 292), (-1, 1115, 834, 294), (-1, 1112, 835, 297), (-1, 1110, 836, 298), (-1, 1107, 837, 300), (-1, 1105, 838, 302), (-1, 1102, 839, 304), (-1, 1100, 840, 305), (-1, 1097, 841, 308), (-1, 1095, 842, 309), (-1, 1092, 843, 311), (-1, 1089, 844, 314), (-1, 1087, 845, 315), (-1, 1084, 846, 317), (-1, 1082, 847, 319), (-1, 1079, 848, 321), (-1, 1077, 849, 322), (-1, 1074, 850, 325), (-1, 1072, 851, 326), (-1, 1069, 852, 328), (-1, 1066, 853, 331), (-1, 1064, 854, 332), (-1, 1061, 855, 334), (-1, 1059, 856, 336), (-1, 1057, 857, 337), (-1, 1061, 858, 332), (-1, 1069, 859, 324), (-1, 1077, 860, 315), (-1, 1085, 861, 306), (-1, 1092, 862, 299), (-1, 1100, 863, 290), (-1, 1108, 864, 281), (-1, 1116, 865, 273), (-1, 1123, 866, 265), (-1, 1131, 867, 256), (-1, 1139, 868, 248), (-1, 1146, 869, 240), (-1, 1154, 870, 231), (-1, 1162, 871, 223), (-1, 1170, 872, 214), (-1, 1177, 873, 206), (-1, 1185, 874, 198), (-1, 1193, 875, 189), (-1, 1201, 876, 180), (-1, 1204, 877, 177), (-1, 1204, 878, 176), (-1, 1205, 879, 174), (-1, 1205, 880, 174), (-1, 1205, 881, 173), (-1, 1205, 882, 172), (-1, 1206, 883, 170), (-1, 1206, 884, 169), (-1, 1206, 885, 168), (-1, 1206, 886, 167), (-1, 1206, 887, 166), (-1, 1206, 888, 165), (-1, 1205, 889, 165), (-1, 1205, 890, 164), (-1, 1205, 891, 163), (-1, 1205, 892, 162), (-1, 1205, 893, 161), (-1, 1205, 894, 160), (-1, 1205, 895, 159), (-1, 1204, 896, 159), (-1, 1204, 897, 158), (-1, 1204, 898, 156), (-1, 1204, 899, 155), (-1, 1204, 900, 154), (-1, 1204, 901, 152), (-1, 1204, 902, 151), (-1, 1203, 903, 150), (-1, 1203, 904, 149), (-1, 1203, 905, 147), (-1, 1203, 906, 146), (-1, 1203, 907, 145), (-1, 1203, 908, 143), (-1, 1203, 909, 142), (-1, 1202, 910, 142), (-1, 1202, 911, 141), (-1, 1202, 912, 141), (-1, 1202, 913, 140), (-1, 1202, 914, 139), (-1, 1202, 915, 138), (-1, 1202, 916, 137), (-1, 1201, 917, 137), (-1, 1201, 918, 136), (-1, 1201, 919, 136), (-1, 1201, 920, 135), (-1, 1201, 921, 134), (-1, 1201, 922, 133), (-1, 1201, 923, 132), (-1, 1200, 924, 132), (-1, 1200, 925, 131), (-1, 1200, 926, 131), (-1, 1200, 927, 130), (-1, 1200, 928, 129), (-1, 1200, 929, 128), (-1, 1200, 930, 127), (-1, 1200, 931, 126), (-1, 1200, 932, 125), (-1, 1200, 933, 125), (-1, 1200, 934, 124), (-1, 1200, 935, 123), (-1, 1200, 936, 122), (-1, 1200, 937, 121), (-1, 1200, 938, 120), (-1, 1200, 939, 119), (-1, 1200, 940, 119), (-1, 1200, 941, 118), (-1, 1200, 942, 117), (-1, 1200, 943, 116), (-1, 1200, 944, 115), (-1, 1200, 945, 114), (-1, 1200, 946, 113), (-1, 1200, 947, 113), (-1, 1200, 948, 112), (-1, 1200, 949, 111), (-1, 1200, 950, 110), (-1, 1200, 951, 109), (-1, 1200, 952, 108), (-1, 1200, 953, 107), (-1, 1200, 954, 107), (-1, 1200, 955, 106), (-1, 1200, 956, 105), (-1, 1200, 957, 104), (-1, 1200, 958, 102), (-1, 1200, 959, 98), (-1, 1200, 960, 78), (-1, 1285, 960, 9), (-1, 1200, 961, 75), (-1, 1200, 962, 71), (-1, 1200, 963, 69), (-1, 1200, 964, 68), (-1, 1201, 965, 66), (-1, 1201, 966, 66), (-1, 1201, 967, 65), (-1, 1201, 968, 64), (-1, 1201, 969, 63), (-1, 1201, 970, 62), (-1, 1201, 971, 61), (-1, 1201, 972, 60), (-1, 1201, 973, 59), (-1, 1201, 974, 59), (-1, 1201, 975, 58), (-1, 1201, 976, 57), (-1, 1201, 977, 56), (-1, 1201, 978, 55), (-1, 1201, 979, 54), (-1, 1201, 980, 53), (-1, 1201, 981, 53), (-1, 1201, 982, 52), (-1, 1201, 983, 51), (-1, 1201, 984, 50), (-1, 1201, 985, 49), (-1, 1201, 986, 48), (-1, 1201, 987, 47), (-1, 1201, 988, 46), (-1, 1201, 989, 46), (-1, 1201, 990, 45), (-1, 1201, 991, 44), (-1, 1201, 992, 43), (-1, 1201, 993, 42), (-1, 1201, 994, 41), (-1, 1201, 995, 40), (-1, 1201, 996, 40), (-1, 1201, 997, 39), (-1, 1201, 998, 38), (-1, 1201, 999, 37), (-1, 1201, 1000, 36), (-1, 1201, 1001, 35), (-1, 1201, 1002, 34), (-1, 1202, 1003, 32), (-1, 1203, 1004, 31), (-1, 1204, 1005, 29), (-1, 1205, 1006, 27), (-1, 1206, 1007, 25), (-1, 1207, 1008, 23), (-1, 1208, 1009, 20), (-1, 1208, 1010, 19), (-1, 1209, 1011, 16), (-1, 1210, 1012, 14), (-1, 1211, 1013, 11), (-1, 1212, 1014, 9), (-1, 1213, 1015, 6), (-1, 1214, 1016, 4), (-1, 1215, 1017, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 768, 'x1': 1129, 'y0': 338, 'y1': 854, 'score': 1.0, 'id': None, 'points': ['1056,854,1125,833,1080,713,1075,692,1071,672,1062,662,1056,653,1059,636,1060,621,1129,515,1041,429,1041,416,1095,377,1108,338,976,476,961,473,945,462,933,456,925,453,913,440,904,453,907,464,921,465,925,477,930,486,937,491,964,513,979,518,990,522,1002,528,1008,543,1015,558,1021,570,1024,581,1026,597,1026,611,1021,632,1002,638,981,641,850,687,826,687,808,695,801,699,768,771,813,764,829,761,844,758,858,753,868,752,888,749,913,743,933,740,948,735,972,731,996,723,1017,720,1035,726,1041,734,1051,744,1057,753,1066,768,1074,785,1081,803,1086,813,1086,830'], 'sub_photo_id': 0, 'rles': [(-1, 1108, 338, 1), (-1, 1107, 339, 2), (-1, 1106, 340, 2), (-1, 1105, 341, 3), (-1, 1104, 342, 4), (-1, 1103, 343, 4), (-1, 1102, 344, 5), (-1, 1101, 345, 6), (-1, 1100, 346, 6), (-1, 1099, 347, 7), (-1, 1098, 348, 8), (-1, 1097, 349, 8), (-1, 1097, 350, 8), (-1, 1096, 351, 9), (-1, 1095, 352, 9), (-1, 1094, 353, 10), (-1, 1093, 354, 11), (-1, 1092, 355, 11), (-1, 1091, 356, 12), (-1, 1090, 357, 13), (-1, 1089, 358, 13), (-1, 1088, 359, 14), (-1, 1087, 360, 15), (-1, 1086, 361, 15), (-1, 1085, 362, 16), (-1, 1084, 363, 17), (-1, 1083, 364, 17), (-1, 1082, 365, 18), (-1, 1081, 366, 19), (-1, 1080, 367, 19), (-1, 1079, 368, 20), (-1, 1078, 369, 21), (-1, 1077, 370, 21), (-1, 1076, 371, 22), (-1, 1075, 372, 23), (-1, 1075, 373, 22), (-1, 1074, 374, 23), (-1, 1073, 375, 24), (-1, 1072, 376, 24), (-1, 1071, 377, 25), (-1, 1070, 378, 25), (-1, 1069, 379, 24), (-1, 1068, 380, 24), (-1, 1067, 381, 24), (-1, 1066, 382, 23), (-1, 1065, 383, 23), (-1, 1064, 384, 23), (-1, 1063, 385, 22), (-1, 1062, 386, 22), (-1, 1061, 387, 21), (-1, 1060, 388, 21), (-1, 1059, 389, 21), (-1, 1058, 390, 20), (-1, 1057, 391, 20), (-1, 1056, 392, 19), (-1, 1055, 393, 19), (-1, 1054, 394, 19), (-1, 1053, 395, 18), (-1, 1053, 396, 17), (-1, 1052, 397, 17), (-1, 1051, 398, 16), (-1, 1050, 399, 16), (-1, 1049, 400, 15), (-1, 1048, 401, 15), (-1, 1047, 402, 15), (-1, 1046, 403, 14), (-1, 1045, 404, 14), (-1, 1044, 405, 13), (-1, 1043, 406, 13), (-1, 1042, 407, 13), (-1, 1041, 408, 12), (-1, 1040, 409, 12), (-1, 1039, 410, 12), (-1, 1038, 411, 11), (-1, 1037, 412, 11), (-1, 1036, 413, 10), (-1, 1035, 414, 10), (-1, 1034, 415, 10), (-1, 1033, 416, 9), (-1, 1032, 417, 10), (-1, 1031, 418, 11), (-1, 1031, 419, 11), (-1, 1030, 420, 12), (-1, 1029, 421, 13), (-1, 1028, 422, 14), (-1, 1027, 423, 15), (-1, 1026, 424, 16), (-1, 1025, 425, 17), (-1, 1024, 426, 18), (-1, 1023, 427, 19), (-1, 1022, 428, 20), (-1, 1021, 429, 21), (-1, 1020, 430, 23), (-1, 1019, 431, 25), (-1, 1018, 432, 27), (-1, 1017, 433, 29), (-1, 1016, 434, 31), (-1, 1015, 435, 33), (-1, 1014, 436, 35), (-1, 1013, 437, 37), (-1, 1012, 438, 39), (-1, 1011, 439, 41), (-1, 913, 440, 1), (-1, 1010, 440, 43), (-1, 912, 441, 3), (-1, 1009, 441, 45), (-1, 912, 442, 4), (-1, 1009, 442, 46), (-1, 911, 443, 6), (-1, 1008, 443, 48), (-1, 910, 444, 8), (-1, 1007, 444, 50), (-1, 910, 445, 9), (-1, 1006, 445, 52), (-1, 909, 446, 11), (-1, 1005, 446, 54), (-1, 908, 447, 12), (-1, 1004, 447, 56), (-1, 907, 448, 14), (-1, 1003, 448, 58), (-1, 907, 449, 15), (-1, 1002, 449, 60), (-1, 906, 450, 17), (-1, 1001, 450, 62), (-1, 905, 451, 19), (-1, 1000, 451, 65), (-1, 905, 452, 20), (-1, 999, 452, 67), (-1, 904, 453, 23), (-1, 998, 453, 69), (-1, 904, 454, 25), (-1, 997, 454, 71), (-1, 905, 455, 27), (-1, 996, 455, 73), (-1, 905, 456, 29), (-1, 995, 456, 75), (-1, 905, 457, 31), (-1, 994, 457, 77), (-1, 905, 458, 33), (-1, 993, 458, 79), (-1, 906, 459, 34), (-1, 992, 459, 81), (-1, 906, 460, 36), (-1, 991, 460, 83), (-1, 906, 461, 38), (-1, 990, 461, 85), (-1, 906, 462, 40), (-1, 989, 462, 87), (-1, 907, 463, 41), (-1, 988, 463, 89), (-1, 907, 464, 42), (-1, 987, 464, 91), (-1, 914, 465, 37), (-1, 987, 465, 92), (-1, 921, 466, 31), (-1, 986, 466, 94), (-1, 922, 467, 31), (-1, 985, 467, 96), (-1, 922, 468, 33), (-1, 984, 468, 98), (-1, 922, 469, 34), (-1, 983, 469, 100), (-1, 923, 470, 35), (-1, 982, 470, 102), (-1, 923, 471, 36), (-1, 981, 471, 104), (-1, 923, 472, 38), (-1, 980, 472, 106), (-1, 924, 473, 40), (-1, 979, 473, 108), (-1, 924, 474, 45), (-1, 978, 474, 110), (-1, 924, 475, 50), (-1, 977, 475, 112), (-1, 925, 476, 165), (-1, 925, 477, 166), (-1, 926, 478, 166), (-1, 926, 479, 167), (-1, 927, 480, 167), (-1, 927, 481, 168), (-1, 928, 482, 168), (-1, 928, 483, 169), (-1, 929, 484, 169), (-1, 929, 485, 170), (-1, 930, 486, 170), (-1, 931, 487, 170), (-1, 933, 488, 169), (-1, 934, 489, 169), (-1, 935, 490, 169), (-1, 937, 491, 168), (-1, 938, 492, 168), (-1, 939, 493, 168), (-1, 941, 494, 168), (-1, 942, 495, 168), (-1, 943, 496, 168), (-1, 944, 497, 168), (-1, 945, 498, 168), (-1, 947, 499, 167), (-1, 948, 500, 167), (-1, 949, 501, 167), (-1, 950, 502, 167), (-1, 952, 503, 166), (-1, 953, 504, 166), (-1, 954, 505, 166), (-1, 955, 506, 166), (-1, 957, 507, 165), (-1, 958, 508, 165), (-1, 959, 509, 165), (-1, 960, 510, 165), (-1, 961, 511, 165), (-1, 963, 512, 164), (-1, 964, 513, 164), (-1, 966, 514, 163), (-1, 969, 515, 161), (-1, 972, 516, 157), (-1, 975, 517, 154), (-1, 978, 518, 150), (-1, 981, 519, 146), (-1, 984, 520, 143), (-1, 986, 521, 140), (-1, 989, 522, 136), (-1, 991, 523, 134), (-1, 993, 524, 131), (-1, 995, 525, 128), (-1, 997, 526, 126), (-1, 999, 527, 123), (-1, 1001, 528, 121), (-1, 1002, 529, 119), (-1, 1003, 530, 117), (-1, 1003, 531, 117), (-1, 1004, 532, 115), (-1, 1004, 533, 114), (-1, 1004, 534, 114), (-1, 1005, 535, 112), (-1, 1005, 536, 111), (-1, 1006, 537, 110), (-1, 1006, 538, 109), (-1, 1006, 539, 108), (-1, 1007, 540, 107), (-1, 1007, 541, 106), (-1, 1008, 542, 104), (-1, 1008, 543, 104), (-1, 1008, 544, 103), (-1, 1009, 545, 101), (-1, 1009, 546, 101), (-1, 1010, 547, 99), (-1, 1010, 548, 99), (-1, 1011, 549, 97), (-1, 1011, 550, 96), (-1, 1012, 551, 95), (-1, 1012, 552, 94), (-1, 1013, 553, 92), (-1, 1013, 554, 92), (-1, 1014, 555, 90), (-1, 1014, 556, 89), (-1, 1015, 557, 88), (-1, 1015, 558, 87), (-1, 1016, 559, 85), (-1, 1016, 560, 85), (-1, 1017, 561, 83), (-1, 1017, 562, 82), (-1, 1018, 563, 81), (-1, 1018, 564, 80), (-1, 1019, 565, 78), (-1, 1019, 566, 78), (-1, 1020, 567, 76), (-1, 1020, 568, 75), (-1, 1021, 569, 74), (-1, 1021, 570, 73), (-1, 1021, 571, 73), (-1, 1022, 572, 71), (-1, 1022, 573, 70), (-1, 1022, 574, 70), (-1, 1022, 575, 69), (-1, 1023, 576, 67), (-1, 1023, 577, 67), (-1, 1023, 578, 66), (-1, 1023, 579, 65), (-1, 1024, 580, 64), (-1, 1024, 581, 63), (-1, 1024, 582, 62), (-1, 1024, 583, 62), (-1, 1024, 584, 61), (-1, 1025, 585, 59), (-1, 1025, 586, 59), (-1, 1025, 587, 58), (-1, 1025, 588, 57), (-1, 1025, 589, 57), (-1, 1025, 590, 56), (-1, 1025, 591, 56), (-1, 1025, 592, 55), (-1, 1026, 593, 53), (-1, 1026, 594, 53), (-1, 1026, 595, 52), (-1, 1026, 596, 51), (-1, 1026, 597, 51), (-1, 1026, 598, 50), (-1, 1026, 599, 49), (-1, 1026, 600, 49), (-1, 1026, 601, 48), (-1, 1026, 602, 47), (-1, 1026, 603, 47), (-1, 1026, 604, 46), (-1, 1026, 605, 45), (-1, 1026, 606, 45), (-1, 1026, 607, 44), (-1, 1026, 608, 43), (-1, 1026, 609, 43), (-1, 1026, 610, 42), (-1, 1026, 611, 42), (-1, 1026, 612, 41), (-1, 1026, 613, 40), (-1, 1025, 614, 41), (-1, 1025, 615, 40), (-1, 1025, 616, 39), (-1, 1025, 617, 39), (-1, 1024, 618, 39), (-1, 1024, 619, 38), (-1, 1024, 620, 38), (-1, 1024, 621, 37), (-1, 1023, 622, 38), (-1, 1023, 623, 38), (-1, 1023, 624, 38), (-1, 1023, 625, 38), (-1, 1022, 626, 39), (-1, 1022, 627, 39), (-1, 1022, 628, 39), (-1, 1022, 629, 38), (-1, 1021, 630, 39), (-1, 1021, 631, 39), (-1, 1020, 632, 40), (-1, 1017, 633, 43), (-1, 1014, 634, 46), (-1, 1010, 635, 50), (-1, 1007, 636, 53), (-1, 1004, 637, 56), (-1, 999, 638, 61), (-1, 992, 639, 67), (-1, 985, 640, 74), (-1, 980, 641, 79), (-1, 977, 642, 82), (-1, 974, 643, 85), (-1, 972, 644, 87), (-1, 969, 645, 89), (-1, 966, 646, 92), (-1, 963, 647, 95), (-1, 960, 648, 98), (-1, 957, 649, 101), (-1, 954, 650, 104), (-1, 952, 651, 105), (-1, 949, 652, 108), (-1, 946, 653, 111), (-1, 943, 654, 115), (-1, 940, 655, 118), (-1, 937, 656, 122), (-1, 935, 657, 125), (-1, 932, 658, 128), (-1, 929, 659, 132), (-1, 926, 660, 136), (-1, 923, 661, 139), (-1, 920, 662, 143), (-1, 917, 663, 147), (-1, 915, 664, 150), (-1, 912, 665, 154), (-1, 909, 666, 158), (-1, 906, 667, 162), (-1, 903, 668, 165), (-1, 900, 669, 169), (-1, 897, 670, 173), (-1, 895, 671, 176), (-1, 892, 672, 180), (-1, 889, 673, 183), (-1, 886, 674, 186), (-1, 883, 675, 190), (-1, 880, 676, 193), (-1, 878, 677, 195), (-1, 875, 678, 198), (-1, 872, 679, 201), (-1, 869, 680, 205), (-1, 866, 681, 208), (-1, 863, 682, 211), (-1, 860, 683, 214), (-1, 858, 684, 216), (-1, 855, 685, 220), (-1, 852, 686, 223), (-1, 825, 687, 250), (-1, 823, 688, 252), (-1, 821, 689, 254), (-1, 819, 690, 257), (-1, 816, 691, 260), (-1, 814, 692, 262), (-1, 812, 693, 264), (-1, 810, 694, 266), (-1, 808, 695, 269), (-1, 806, 696, 271), (-1, 804, 697, 273), (-1, 802, 698, 275), (-1, 801, 699, 277), (-1, 801, 700, 277), (-1, 800, 701, 278), (-1, 800, 702, 278), (-1, 799, 703, 280), (-1, 799, 704, 280), (-1, 798, 705, 281), (-1, 798, 706, 281), (-1, 797, 707, 283), (-1, 797, 708, 283), (-1, 796, 709, 284), (-1, 796, 710, 284), (-1, 795, 711, 286), (-1, 795, 712, 286), (-1, 795, 713, 286), (-1, 794, 714, 287), (-1, 794, 715, 288), (-1, 793, 716, 289), (-1, 793, 717, 290), (-1, 792, 718, 291), (-1, 792, 719, 291), (-1, 791, 720, 293), (-1, 791, 721, 223), (-1, 1019, 721, 65), (-1, 790, 722, 217), (-1, 1022, 722, 62), (-1, 790, 723, 210), (-1, 1025, 723, 60), (-1, 790, 724, 205), (-1, 1028, 724, 57), (-1, 789, 725, 203), (-1, 1031, 725, 55), (-1, 789, 726, 200), (-1, 1034, 726, 52), (-1, 788, 727, 198), (-1, 1036, 727, 50), (-1, 788, 728, 195), (-1, 1037, 728, 50), (-1, 787, 729, 193), (-1, 1037, 729, 50), (-1, 787, 730, 190), (-1, 1038, 730, 49), (-1, 786, 731, 188), (-1, 1039, 731, 49), (-1, 786, 732, 184), (-1, 1040, 732, 48), (-1, 785, 733, 179), (-1, 1040, 733, 49), (-1, 785, 734, 173), (-1, 1041, 734, 48), (-1, 784, 735, 168), (-1, 1042, 735, 47), (-1, 784, 736, 163), (-1, 1043, 736, 47), (-1, 784, 737, 160), (-1, 1044, 737, 46), (-1, 783, 738, 158), (-1, 1045, 738, 45), (-1, 783, 739, 155), (-1, 1046, 739, 45), (-1, 782, 740, 153), (-1, 1047, 740, 44), (-1, 782, 741, 148), (-1, 1048, 741, 44), (-1, 781, 742, 143), (-1, 1049, 742, 43), (-1, 781, 743, 136), (-1, 1050, 743, 42), (-1, 780, 744, 131), (-1, 1051, 744, 42), (-1, 780, 745, 127), (-1, 1052, 745, 41), (-1, 779, 746, 124), (-1, 1052, 746, 41), (-1, 779, 747, 120), (-1, 1053, 747, 41), (-1, 779, 748, 116), (-1, 1054, 748, 40), (-1, 778, 749, 113), (-1, 1054, 749, 41), (-1, 778, 750, 107), (-1, 1055, 750, 40), (-1, 777, 751, 102), (-1, 1056, 751, 39), (-1, 777, 752, 95), (-1, 1056, 752, 40), (-1, 776, 753, 88), (-1, 1057, 753, 39), (-1, 776, 754, 81), (-1, 1058, 754, 38), (-1, 775, 755, 79), (-1, 1058, 755, 39), (-1, 775, 756, 77), (-1, 1059, 756, 38), (-1, 774, 757, 75), (-1, 1059, 757, 39), (-1, 774, 758, 72), (-1, 1060, 758, 38), (-1, 773, 759, 69), (-1, 1061, 759, 37), (-1, 773, 760, 64), (-1, 1061, 760, 38), (-1, 773, 761, 59), (-1, 1062, 761, 37), (-1, 772, 762, 55), (-1, 1062, 762, 37), (-1, 772, 763, 50), (-1, 1063, 763, 37), (-1, 771, 764, 45), (-1, 1064, 764, 36), (-1, 771, 765, 39), (-1, 1064, 765, 37), (-1, 770, 766, 34), (-1, 1065, 766, 36), (-1, 770, 767, 27), (-1, 1065, 767, 36), (-1, 769, 768, 22), (-1, 1066, 768, 36), (-1, 769, 769, 16), (-1, 1066, 769, 36), (-1, 768, 770, 10), (-1, 1067, 770, 35), (-1, 768, 771, 4), (-1, 1067, 771, 36), (-1, 1068, 772, 35), (-1, 1068, 773, 36), (-1, 1069, 774, 35), (-1, 1069, 775, 35), (-1, 1070, 776, 35), (-1, 1070, 777, 35), (-1, 1071, 778, 34), (-1, 1071, 779, 35), (-1, 1072, 780, 34), (-1, 1072, 781, 35), (-1, 1073, 782, 34), (-1, 1073, 783, 34), (-1, 1074, 784, 34), (-1, 1074, 785, 34), (-1, 1074, 786, 34), (-1, 1075, 787, 34), (-1, 1075, 788, 34), (-1, 1076, 789, 34), (-1, 1076, 790, 34), (-1, 1076, 791, 34), (-1, 1077, 792, 34), (-1, 1077, 793, 34), (-1, 1078, 794, 33), (-1, 1078, 795, 34), (-1, 1078, 796, 34), (-1, 1079, 797, 34), (-1, 1079, 798, 34), (-1, 1079, 799, 34), (-1, 1080, 800, 34), (-1, 1080, 801, 34), (-1, 1081, 802, 33), (-1, 1081, 803, 34), (-1, 1082, 804, 33), (-1, 1082, 805, 34), (-1, 1083, 806, 33), (-1, 1083, 807, 33), (-1, 1084, 808, 33), (-1, 1084, 809, 33), (-1, 1085, 810, 32), (-1, 1085, 811, 33), (-1, 1086, 812, 32), (-1, 1086, 813, 33), (-1, 1086, 814, 33), (-1, 1086, 815, 33), (-1, 1086, 816, 34), (-1, 1086, 817, 34), (-1, 1086, 818, 34), (-1, 1086, 819, 35), (-1, 1086, 820, 35), (-1, 1086, 821, 36), (-1, 1086, 822, 36), (-1, 1086, 823, 36), (-1, 1086, 824, 37), (-1, 1086, 825, 37), (-1, 1086, 826, 37), (-1, 1086, 827, 38), (-1, 1086, 828, 38), (-1, 1086, 829, 39), (-1, 1086, 830, 39), (-1, 1085, 831, 40), (-1, 1083, 832, 43), (-1, 1082, 833, 44), (-1, 1081, 834, 43), (-1, 1080, 835, 41), (-1, 1078, 836, 39), (-1, 1077, 837, 37), (-1, 1076, 838, 35), (-1, 1075, 839, 32), (-1, 1073, 840, 31), (-1, 1072, 841, 29), (-1, 1071, 842, 27), (-1, 1070, 843, 24), (-1, 1068, 844, 23), (-1, 1067, 845, 21), (-1, 1066, 846, 18), (-1, 1065, 847, 16), (-1, 1063, 848, 15), (-1, 1062, 849, 13), (-1, 1061, 850, 10), (-1, 1060, 851, 8), (-1, 1058, 852, 7), (-1, 1057, 853, 4), (-1, 1056, 854, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 1438, 'y0': 0, 'y1': 1629, 'score': 1.0, 'id': None, 'points': ['3,1,1438,-2,1440,134,1413,129,1393,128,1371,69,1359,69,1330,77,1311,89,1239,78,1257,174,1242,179,1231,185,1216,203,1239,228,1372,359,1333,392,1251,360,1191,300,1165,320,1146,311,1123,309,1113,324,1084,302,1084,290,1075,275,1066,261,1047,246,1036,240,877,393,879,402,885,407,903,423,910,432,915,437,904,453,885,461,871,455,802,491,717,521,711,530,720,554,735,590,763,644,778,662,786,675,802,696,769,770,736,711,727,699,715,693,699,693,684,687,640,699,609,708,595,708,564,717,543,722,529,729,528,744,537,783,526,792,525,800,589,893,598,894,712,843,708,854,697,866,676,911,687,930,706,1125,721,1205,712,1211,705,1227,712,1233,718,1248,726,1268,730,1289,744,1311,726,1385,673,1416,669,1425,661,1436,619,1457,595,1463,574,1472,549,1482,502,1493,501,1478,501,1469,226,1281,210,1283,201,1274,196,1263,195,1248,199,1241,211,1227,217,1215,208,1205,205,1191,199,1181,178,1184,160,1185,139,1188,120,1188,106,1196,88,1218,18,1230,24,1445,93,1433,45,1491,30,1488,22,1485,10,1626,0,1629'], 'sub_photo_id': 0, 'rles': [(-1, 243, 0, 1196), (-1, 3, 1, 1436), (-1, 3, 2, 1436), (-1, 3, 3, 1436), (-1, 3, 4, 1436), (-1, 3, 5, 1436), (-1, 3, 6, 1436), (-1, 3, 7, 1436), (-1, 3, 8, 1436), (-1, 3, 9, 1436), (-1, 3, 10, 1436), (-1, 3, 11, 1436), (-1, 3, 12, 1436), (-1, 3, 13, 1436), (-1, 3, 14, 1436), (-1, 3, 15, 1436), (-1, 3, 16, 1436), (-1, 3, 17, 1436), (-1, 3, 18, 1436), (-1, 3, 19, 1436), (-1, 3, 20, 1436), (-1, 3, 21, 1436), (-1, 3, 22, 1436), (-1, 3, 23, 1436), (-1, 3, 24, 1436), (-1, 3, 25, 1436), (-1, 3, 26, 1436), (-1, 3, 27, 1436), (-1, 3, 28, 1436), (-1, 3, 29, 1436), (-1, 3, 30, 1436), (-1, 3, 31, 1436), (-1, 3, 32, 1436), (-1, 3, 33, 1436), (-1, 3, 34, 1436), (-1, 3, 35, 1436), (-1, 3, 36, 1436), (-1, 3, 37, 1436), (-1, 3, 38, 1436), (-1, 3, 39, 1436), (-1, 3, 40, 1436), (-1, 3, 41, 1436), (-1, 3, 42, 1436), (-1, 3, 43, 1436), (-1, 3, 44, 1436), (-1, 3, 45, 1436), (-1, 3, 46, 1436), (-1, 3, 47, 1436), (-1, 3, 48, 1436), (-1, 3, 49, 1436), (-1, 3, 50, 1436), (-1, 3, 51, 1436), (-1, 3, 52, 1436), (-1, 3, 53, 1436), (-1, 3, 54, 1436), (-1, 3, 55, 1436), (-1, 3, 56, 1436), (-1, 3, 57, 1436), (-1, 3, 58, 1436), (-1, 3, 59, 1436), (-1, 3, 60, 1436), (-1, 3, 61, 1436), (-1, 3, 62, 1436), (-1, 3, 63, 1436), (-1, 3, 64, 1436), (-1, 3, 65, 1436), (-1, 3, 66, 1436), (-1, 3, 67, 1436), (-1, 3, 68, 1436), (-1, 3, 69, 1436), (-1, 3, 70, 1355), (-1, 1371, 70, 68), (-1, 3, 71, 1351), (-1, 1372, 71, 67), (-1, 3, 72, 1347), (-1, 1372, 72, 67), (-1, 3, 73, 1344), (-1, 1372, 73, 67), (-1, 3, 74, 1340), (-1, 1373, 74, 66), (-1, 3, 75, 1337), (-1, 1373, 75, 66), (-1, 3, 76, 1333), (-1, 1374, 76, 65), (-1, 3, 77, 1329), (-1, 1374, 77, 65), (-1, 3, 78, 1327), (-1, 1374, 78, 65), (-1, 3, 79, 1237), (-1, 1243, 79, 85), (-1, 1375, 79, 64), (-1, 3, 80, 1237), (-1, 1249, 80, 78), (-1, 1375, 80, 64), (-1, 3, 81, 1238), (-1, 1256, 81, 69), (-1, 1375, 81, 64), (-1, 3, 82, 1238), (-1, 1262, 82, 61), (-1, 1376, 82, 63), (-1, 3, 83, 1238), (-1, 1269, 83, 53), (-1, 1376, 83, 63), (-1, 3, 84, 1238), (-1, 1275, 84, 45), (-1, 1377, 84, 62), (-1, 3, 85, 1238), (-1, 1282, 85, 37), (-1, 1377, 85, 62), (-1, 3, 86, 1239), (-1, 1289, 86, 28), (-1, 1377, 86, 62), (-1, 3, 87, 1239), (-1, 1295, 87, 20), (-1, 1378, 87, 61), (-1, 3, 88, 1239), (-1, 1302, 88, 12), (-1, 1378, 88, 61), (-1, 3, 89, 1239), (-1, 1308, 89, 4), (-1, 1378, 89, 61), (-1, 3, 90, 1239), (-1, 1379, 90, 60), (-1, 3, 91, 1239), (-1, 1379, 91, 60), (-1, 3, 92, 1240), (-1, 1380, 92, 59), (-1, 3, 93, 1240), (-1, 1380, 93, 59), (-1, 3, 94, 1240), (-1, 1380, 94, 59), (-1, 3, 95, 1240), (-1, 1381, 95, 58), (-1, 3, 96, 1240), (-1, 1381, 96, 58), (-1, 3, 97, 1241), (-1, 1381, 97, 58), (-1, 3, 98, 1241), (-1, 1382, 98, 57), (-1, 3, 99, 1241), (-1, 1382, 99, 57), (-1, 3, 100, 1241), (-1, 1383, 100, 56), (-1, 3, 101, 1241), (-1, 1383, 101, 56), (-1, 3, 102, 1242), (-1, 1383, 102, 56), (-1, 3, 103, 1242), (-1, 1384, 103, 55), (-1, 3, 104, 1242), (-1, 1384, 104, 55), (-1, 3, 105, 1242), (-1, 1384, 105, 55), (-1, 3, 106, 1242), (-1, 1385, 106, 54), (-1, 3, 107, 1242), (-1, 1385, 107, 54), (-1, 3, 108, 1243), (-1, 1386, 108, 53), (-1, 3, 109, 1243), (-1, 1386, 109, 53), (-1, 3, 110, 1243), (-1, 1386, 110, 53), (-1, 3, 111, 1243), (-1, 1387, 111, 52), (-1, 3, 112, 1243), (-1, 1387, 112, 52), (-1, 3, 113, 1244), (-1, 1387, 113, 52), (-1, 3, 114, 1244), (-1, 1388, 114, 51), (-1, 3, 115, 1244), (-1, 1388, 115, 51), (-1, 3, 116, 1244), (-1, 1389, 116, 50), (-1, 3, 117, 1244), (-1, 1389, 117, 50), (-1, 3, 118, 1245), (-1, 1389, 118, 50), (-1, 3, 119, 1245), (-1, 1390, 119, 49), (-1, 3, 120, 1245), (-1, 1390, 120, 49), (-1, 3, 121, 1245), (-1, 1390, 121, 49), (-1, 3, 122, 1245), (-1, 1391, 122, 48), (-1, 3, 123, 1245), (-1, 1391, 123, 48), (-1, 3, 124, 1246), (-1, 1392, 124, 47), (-1, 3, 125, 1246), (-1, 1392, 125, 47), (-1, 3, 126, 1246), (-1, 1392, 126, 47), (-1, 3, 127, 1246), (-1, 1393, 127, 46), (-1, 3, 128, 1246), (-1, 1393, 128, 46), (-1, 3, 129, 1247), (-1, 1403, 129, 36), (-1, 3, 130, 1247), (-1, 1416, 130, 23), (-1, 3, 131, 1247), (-1, 1421, 131, 18), (-1, 3, 132, 1247), (-1, 1426, 132, 13), (-1, 3, 133, 1247), (-1, 1431, 133, 8), (-1, 3, 134, 1248), (-1, 1436, 134, 3), (-1, 3, 135, 1248), (-1, 3, 136, 1248), (-1, 3, 137, 1248), (-1, 3, 138, 1248), (-1, 3, 139, 1248), (-1, 3, 140, 1249), (-1, 3, 141, 1249), (-1, 3, 142, 1249), (-1, 3, 143, 1249), (-1, 3, 144, 1249), (-1, 3, 145, 1250), (-1, 3, 146, 1250), (-1, 3, 147, 1250), (-1, 3, 148, 1250), (-1, 3, 149, 1250), (-1, 3, 150, 1251), (-1, 3, 151, 1251), (-1, 3, 152, 1251), (-1, 3, 153, 1251), (-1, 3, 154, 1251), (-1, 3, 155, 1251), (-1, 3, 156, 1252), (-1, 3, 157, 1252), (-1, 3, 158, 1252), (-1, 3, 159, 1252), (-1, 3, 160, 1252), (-1, 3, 161, 1253), (-1, 3, 162, 1253), (-1, 3, 163, 1253), (-1, 3, 164, 1253), (-1, 3, 165, 1253), (-1, 3, 166, 1254), (-1, 3, 167, 1254), (-1, 3, 168, 1254), (-1, 3, 169, 1254), (-1, 3, 170, 1254), (-1, 3, 171, 1254), (-1, 3, 172, 1255), (-1, 3, 173, 1255), (-1, 3, 174, 1255), (-1, 3, 175, 1253), (-1, 3, 176, 1250), (-1, 3, 177, 1247), (-1, 3, 178, 1244), (-1, 3, 179, 1241), (-1, 3, 180, 1239), (-1, 3, 181, 1237), (-1, 3, 182, 1235), (-1, 3, 183, 1233), (-1, 3, 184, 1231), (-1, 3, 185, 1229), (-1, 3, 186, 1228), (-1, 3, 187, 1227), (-1, 3, 188, 1226), (-1, 3, 189, 1226), (-1, 3, 190, 1225), (-1, 3, 191, 1224), (-1, 3, 192, 1223), (-1, 3, 193, 1222), (-1, 3, 194, 1221), (-1, 3, 195, 1221), (-1, 3, 196, 1220), (-1, 3, 197, 1219), (-1, 3, 198, 1218), (-1, 3, 199, 1217), (-1, 3, 200, 1216), (-1, 3, 201, 1216), (-1, 3, 202, 1215), (-1, 3, 203, 1214), (-1, 3, 204, 1215), (-1, 3, 205, 1216), (-1, 3, 206, 1217), (-1, 3, 207, 1218), (-1, 3, 208, 1219), (-1, 3, 209, 1220), (-1, 3, 210, 1220), (-1, 3, 211, 1221), (-1, 3, 212, 1222), (-1, 3, 213, 1223), (-1, 3, 214, 1224), (-1, 3, 215, 1225), (-1, 3, 216, 1226), (-1, 3, 217, 1227), (-1, 3, 218, 1228), (-1, 3, 219, 1229), (-1, 3, 220, 1230), (-1, 3, 221, 1231), (-1, 3, 222, 1231), (-1, 3, 223, 1232), (-1, 3, 224, 1233), (-1, 3, 225, 1234), (-1, 3, 226, 1235), (-1, 3, 227, 1236), (-1, 3, 228, 1237), (-1, 3, 229, 1238), (-1, 3, 230, 1239), (-1, 3, 231, 1240), (-1, 3, 232, 1241), (-1, 3, 233, 1242), (-1, 3, 234, 1243), (-1, 3, 235, 1244), (-1, 3, 236, 1245), (-1, 3, 237, 1246), (-1, 3, 238, 1247), (-1, 3, 239, 1248), (-1, 3, 240, 1249), (-1, 3, 241, 1033), (-1, 1037, 241, 216), (-1, 3, 242, 1032), (-1, 1039, 242, 215), (-1, 3, 243, 1031), (-1, 1041, 243, 214), (-1, 3, 244, 1030), (-1, 1043, 244, 213), (-1, 3, 245, 1029), (-1, 1045, 245, 212), (-1, 3, 246, 1028), (-1, 1047, 246, 211), (-1, 3, 247, 1027), (-1, 1048, 247, 211), (-1, 3, 248, 1026), (-1, 1049, 248, 211), (-1, 3, 249, 1025), (-1, 1051, 249, 210), (-1, 3, 250, 1024), (-1, 1052, 250, 210), (-1, 3, 251, 1023), (-1, 1053, 251, 210), (-1, 3, 252, 1022), (-1, 1054, 252, 210), (-1, 3, 253, 1021), (-1, 1056, 253, 209), (-1, 3, 254, 1019), (-1, 1057, 254, 209), (-1, 3, 255, 1018), (-1, 1058, 255, 209), (-1, 3, 256, 1017), (-1, 1060, 256, 208), (-1, 3, 257, 1016), (-1, 1061, 257, 208), (-1, 3, 258, 1015), (-1, 1062, 258, 208), (-1, 3, 259, 1014), (-1, 1063, 259, 208), (-1, 3, 260, 1013), (-1, 1065, 260, 207), (-1, 3, 261, 1012), (-1, 1066, 261, 208), (-1, 3, 262, 1011), (-1, 1067, 262, 208), (-1, 3, 263, 1010), (-1, 1067, 263, 209), (-1, 3, 264, 1009), (-1, 1068, 264, 209), (-1, 3, 265, 1008), (-1, 1069, 265, 209), (-1, 3, 266, 1007), (-1, 1069, 266, 210), (-1, 3, 267, 1006), (-1, 1070, 267, 210), (-1, 3, 268, 1005), (-1, 1071, 268, 210), (-1, 3, 269, 1004), (-1, 1071, 269, 211), (-1, 3, 270, 1003), (-1, 1072, 270, 211), (-1, 3, 271, 1002), (-1, 1072, 271, 212), (-1, 3, 272, 1001), (-1, 1073, 272, 212), (-1, 2, 273, 1001), (-1, 1074, 273, 212), (-1, 2, 274, 1000), (-1, 1074, 274, 213), (-1, 2, 275, 999), (-1, 1075, 275, 213), (-1, 2, 276, 998), (-1, 1076, 276, 213), (-1, 2, 277, 997), (-1, 1076, 277, 214), (-1, 2, 278, 996), (-1, 1077, 278, 214), (-1, 2, 279, 994), (-1, 1077, 279, 215), (-1, 2, 280, 993), (-1, 1078, 280, 215), (-1, 2, 281, 992), (-1, 1079, 281, 215), (-1, 2, 282, 991), (-1, 1079, 282, 216), (-1, 2, 283, 990), (-1, 1080, 283, 216), (-1, 2, 284, 989), (-1, 1080, 284, 217), (-1, 2, 285, 988), (-1, 1081, 285, 217), (-1, 2, 286, 987), (-1, 1082, 286, 217), (-1, 2, 287, 986), (-1, 1082, 287, 218), (-1, 2, 288, 985), (-1, 1083, 288, 218), (-1, 2, 289, 984), (-1, 1083, 289, 219), (-1, 2, 290, 983), (-1, 1084, 290, 219), (-1, 2, 291, 982), (-1, 1084, 291, 220), (-1, 2, 292, 981), (-1, 1084, 292, 221), (-1, 2, 293, 980), (-1, 1084, 293, 222), (-1, 2, 294, 979), (-1, 1084, 294, 223), (-1, 2, 295, 978), (-1, 1084, 295, 224), (-1, 2, 296, 977), (-1, 1084, 296, 225), (-1, 2, 297, 976), (-1, 1084, 297, 226), (-1, 2, 298, 975), (-1, 1084, 298, 227), (-1, 2, 299, 974), (-1, 1084, 299, 228), (-1, 2, 300, 973), (-1, 1084, 300, 229), (-1, 2, 301, 972), (-1, 1084, 301, 107), (-1, 1192, 301, 122), (-1, 2, 302, 971), (-1, 1084, 302, 106), (-1, 1193, 302, 122), (-1, 2, 303, 970), (-1, 1085, 303, 103), (-1, 1194, 303, 122), (-1, 2, 304, 969), (-1, 1086, 304, 101), (-1, 1195, 304, 122), (-1, 2, 305, 967), (-1, 1088, 305, 98), (-1, 1196, 305, 122), (-1, 2, 306, 966), (-1, 1089, 306, 95), (-1, 1197, 306, 122), (-1, 2, 307, 965), (-1, 1090, 307, 93), (-1, 1198, 307, 122), (-1, 2, 308, 964), (-1, 1092, 308, 90), (-1, 1199, 308, 122), (-1, 2, 309, 963), (-1, 1093, 309, 87), (-1, 1200, 309, 122), (-1, 2, 310, 962), (-1, 1094, 310, 29), (-1, 1129, 310, 50), (-1, 1201, 310, 122), (-1, 2, 311, 961), (-1, 1096, 311, 27), (-1, 1141, 311, 37), (-1, 1202, 311, 122), (-1, 2, 312, 960), (-1, 1097, 312, 25), (-1, 1148, 312, 29), (-1, 1203, 312, 122), (-1, 2, 313, 959), (-1, 1098, 313, 23), (-1, 1150, 313, 25), (-1, 1204, 313, 122), (-1, 2, 314, 958), (-1, 1100, 314, 21), (-1, 1152, 314, 22), (-1, 1205, 314, 122), (-1, 2, 315, 957), (-1, 1101, 315, 19), (-1, 1154, 315, 19), (-1, 1206, 315, 122), (-1, 2, 316, 956), (-1, 1102, 316, 17), (-1, 1156, 316, 15), (-1, 1207, 316, 122), (-1, 2, 317, 955), (-1, 1104, 317, 15), (-1, 1158, 317, 12), (-1, 1208, 317, 122), (-1, 2, 318, 954), (-1, 1105, 318, 13), (-1, 1160, 318, 9), (-1, 1209, 318, 122), (-1, 2, 319, 953), (-1, 1106, 319, 11), (-1, 1162, 319, 5), (-1, 1210, 319, 122), (-1, 2, 320, 952), (-1, 1108, 320, 9), (-1, 1164, 320, 2), (-1, 1211, 320, 122), (-1, 2, 321, 951), (-1, 1109, 321, 7), (-1, 1212, 321, 122), (-1, 2, 322, 950), (-1, 1110, 322, 5), (-1, 1213, 322, 122), (-1, 2, 323, 949), (-1, 1112, 323, 3), (-1, 1214, 323, 122), (-1, 2, 324, 948), (-1, 1113, 324, 1), (-1, 1215, 324, 122), (-1, 2, 325, 947), (-1, 1216, 325, 122), (-1, 2, 326, 946), (-1, 1217, 326, 123), (-1, 2, 327, 945), (-1, 1218, 327, 123), (-1, 2, 328, 944), (-1, 1219, 328, 123), (-1, 2, 329, 943), (-1, 1220, 329, 123), (-1, 2, 330, 941), (-1, 1221, 330, 123), (-1, 2, 331, 940), (-1, 1222, 331, 123), (-1, 2, 332, 939), (-1, 1223, 332, 123), (-1, 2, 333, 938), (-1, 1224, 333, 123), (-1, 2, 334, 937), (-1, 1225, 334, 123), (-1, 2, 335, 936), (-1, 1226, 335, 123), (-1, 2, 336, 935), (-1, 1227, 336, 123), (-1, 2, 337, 934), (-1, 1228, 337, 123), (-1, 2, 338, 933), (-1, 1229, 338, 123), (-1, 2, 339, 932), (-1, 1230, 339, 123), (-1, 2, 340, 931), (-1, 1231, 340, 123), (-1, 2, 341, 930), (-1, 1232, 341, 123), (-1, 2, 342, 929), (-1, 1233, 342, 123), (-1, 2, 343, 928), (-1, 1234, 343, 123), (-1, 2, 344, 927), (-1, 1235, 344, 123), (-1, 2, 345, 926), (-1, 1236, 345, 123), (-1, 2, 346, 925), (-1, 1237, 346, 123), (-1, 2, 347, 924), (-1, 1238, 347, 123), (-1, 2, 348, 923), (-1, 1239, 348, 123), (-1, 2, 349, 922), (-1, 1240, 349, 123), (-1, 2, 350, 921), (-1, 1241, 350, 123), (-1, 2, 351, 920), (-1, 1242, 351, 123), (-1, 2, 352, 919), (-1, 1243, 352, 123), (-1, 2, 353, 918), (-1, 1244, 353, 123), (-1, 2, 354, 917), (-1, 1245, 354, 123), (-1, 2, 355, 916), (-1, 1246, 355, 123), (-1, 2, 356, 914), (-1, 1247, 356, 123), (-1, 2, 357, 913), (-1, 1248, 357, 123), (-1, 2, 358, 912), (-1, 1249, 358, 123), (-1, 2, 359, 911), (-1, 1250, 359, 123), (-1, 2, 360, 910), (-1, 1251, 360, 121), (-1, 2, 361, 909), (-1, 1253, 361, 118), (-1, 2, 362, 908), (-1, 1255, 362, 115), (-1, 2, 363, 907), (-1, 1258, 363, 110), (-1, 2, 364, 906), (-1, 1260, 364, 107), (-1, 2, 365, 905), (-1, 1263, 365, 103), (-1, 2, 366, 904), (-1, 1266, 366, 99), (-1, 2, 367, 903), (-1, 1268, 367, 96), (-1, 2, 368, 902), (-1, 1271, 368, 91), (-1, 2, 369, 901), (-1, 1273, 369, 88), (-1, 2, 370, 900), (-1, 1276, 370, 84), (-1, 2, 371, 899), (-1, 1278, 371, 81), (-1, 2, 372, 898), (-1, 1281, 372, 77), (-1, 2, 373, 897), (-1, 1284, 373, 73), (-1, 2, 374, 896), (-1, 1286, 374, 69), (-1, 2, 375, 895), (-1, 1289, 375, 65), (-1, 2, 376, 894), (-1, 1291, 376, 62), (-1, 2, 377, 893), (-1, 1294, 377, 58), (-1, 2, 378, 892), (-1, 1296, 378, 55), (-1, 2, 379, 891), (-1, 1299, 379, 50), (-1, 2, 380, 890), (-1, 1301, 380, 47), (-1, 2, 381, 888), (-1, 1304, 381, 43), (-1, 2, 382, 887), (-1, 1307, 382, 39), (-1, 2, 383, 886), (-1, 1309, 383, 36), (-1, 2, 384, 885), (-1, 1312, 384, 32), (-1, 2, 385, 884), (-1, 1314, 385, 28), (-1, 2, 386, 883), (-1, 1317, 386, 24), (-1, 2, 387, 882), (-1, 1319, 387, 21), (-1, 2, 388, 881), (-1, 1322, 388, 17), (-1, 2, 389, 880), (-1, 1325, 389, 13), (-1, 2, 390, 879), (-1, 1327, 390, 9), (-1, 2, 391, 878), (-1, 1330, 391, 5), (-1, 2, 392, 877), (-1, 1332, 392, 2), (-1, 2, 393, 876), (-1, 2, 394, 876), (-1, 2, 395, 876), (-1, 2, 396, 877), (-1, 2, 397, 877), (-1, 2, 398, 877), (-1, 2, 399, 877), (-1, 2, 400, 878), (-1, 2, 401, 878), (-1, 2, 402, 878), (-1, 2, 403, 879), (-1, 2, 404, 880), (-1, 2, 405, 882), (-1, 2, 406, 883), (-1, 2, 407, 884), (-1, 2, 408, 885), (-1, 2, 409, 886), (-1, 2, 410, 887), (-1, 2, 411, 889), (-1, 2, 412, 890), (-1, 2, 413, 891), (-1, 2, 414, 892), (-1, 2, 415, 893), (-1, 2, 416, 894), (-1, 2, 417, 895), (-1, 2, 418, 896), (-1, 2, 419, 898), (-1, 2, 420, 899), (-1, 2, 421, 900), (-1, 2, 422, 901), (-1, 2, 423, 902), (-1, 2, 424, 903), (-1, 2, 425, 904), (-1, 2, 426, 904), (-1, 2, 427, 905), (-1, 2, 428, 906), (-1, 2, 429, 907), (-1, 2, 430, 907), (-1, 2, 431, 908), (-1, 2, 432, 909), (-1, 2, 433, 910), (-1, 2, 434, 911), (-1, 2, 435, 912), (-1, 2, 436, 913), (-1, 2, 437, 914), (-1, 2, 438, 913), (-1, 2, 439, 913), (-1, 2, 440, 912), (-1, 2, 441, 911), (-1, 2, 442, 911), (-1, 2, 443, 910), (-1, 2, 444, 909), (-1, 2, 445, 908), (-1, 2, 446, 908), (-1, 2, 447, 907), (-1, 2, 448, 906), (-1, 2, 449, 906), (-1, 2, 450, 905), (-1, 2, 451, 904), (-1, 2, 452, 904), (-1, 2, 453, 903), (-1, 2, 454, 901), (-1, 2, 455, 899), (-1, 2, 456, 869), (-1, 873, 456, 26), (-1, 2, 457, 867), (-1, 875, 457, 21), (-1, 2, 458, 865), (-1, 877, 458, 17), (-1, 2, 459, 863), (-1, 880, 459, 11), (-1, 2, 460, 861), (-1, 882, 460, 7), (-1, 2, 461, 859), (-1, 884, 461, 3), (-1, 2, 462, 857), (-1, 2, 463, 855), (-1, 2, 464, 853), (-1, 2, 465, 851), (-1, 2, 466, 849), (-1, 2, 467, 847), (-1, 2, 468, 846), (-1, 2, 469, 844), (-1, 2, 470, 842), (-1, 2, 471, 840), (-1, 2, 472, 838), (-1, 2, 473, 836), (-1, 2, 474, 834), (-1, 2, 475, 832), (-1, 2, 476, 830), (-1, 2, 477, 828), (-1, 2, 478, 826), (-1, 2, 479, 824), (-1, 2, 480, 823), (-1, 2, 481, 821), (-1, 2, 482, 819), (-1, 2, 483, 817), (-1, 2, 484, 815), (-1, 2, 485, 813), (-1, 2, 486, 811), (-1, 2, 487, 809), (-1, 2, 488, 807), (-1, 2, 489, 805), (-1, 2, 490, 803), (-1, 2, 491, 801), (-1, 2, 492, 799), (-1, 2, 493, 796), (-1, 2, 494, 793), (-1, 2, 495, 791), (-1, 2, 496, 788), (-1, 2, 497, 785), (-1, 2, 498, 782), (-1, 2, 499, 779), (-1, 2, 500, 776), (-1, 2, 501, 774), (-1, 2, 502, 771), (-1, 2, 503, 768), (-1, 2, 504, 765), (-1, 2, 505, 762), (-1, 2, 506, 759), (-1, 2, 507, 757), (-1, 2, 508, 754), (-1, 2, 509, 751), (-1, 2, 510, 748), (-1, 2, 511, 745), (-1, 2, 512, 742), (-1, 2, 513, 740), (-1, 2, 514, 737), (-1, 2, 515, 734), (-1, 2, 516, 731), (-1, 2, 517, 728), (-1, 2, 518, 725), (-1, 2, 519, 723), (-1, 2, 520, 720), (-1, 2, 521, 717), (-1, 2, 522, 715), (-1, 2, 523, 715), (-1, 2, 524, 714), (-1, 2, 525, 713), (-1, 2, 526, 713), (-1, 2, 527, 712), (-1, 2, 528, 711), (-1, 2, 529, 711), (-1, 2, 530, 710), (-1, 2, 531, 710), (-1, 2, 532, 711), (-1, 2, 533, 711), (-1, 2, 534, 712), (-1, 2, 535, 712), (-1, 2, 536, 712), (-1, 2, 537, 713), (-1, 2, 538, 713), (-1, 2, 539, 713), (-1, 2, 540, 714), (-1, 2, 541, 714), (-1, 2, 542, 715), (-1, 2, 543, 715), (-1, 2, 544, 715), (-1, 2, 545, 716), (-1, 2, 546, 716), (-1, 2, 547, 716), (-1, 2, 548, 717), (-1, 2, 549, 717), (-1, 2, 550, 718), (-1, 2, 551, 718), (-1, 2, 552, 718), (-1, 2, 553, 719), (-1, 2, 554, 719), (-1, 2, 555, 719), (-1, 2, 556, 720), (-1, 2, 557, 720), (-1, 2, 558, 721), (-1, 2, 559, 721), (-1, 2, 560, 722), (-1, 2, 561, 722), (-1, 2, 562, 722), (-1, 2, 563, 723), (-1, 2, 564, 723), (-1, 2, 565, 724), (-1, 2, 566, 724), (-1, 2, 567, 724), (-1, 2, 568, 725), (-1, 2, 569, 725), (-1, 2, 570, 726), (-1, 2, 571, 726), (-1, 2, 572, 727), (-1, 2, 573, 727), (-1, 2, 574, 727), (-1, 2, 575, 728), (-1, 2, 576, 728), (-1, 2, 577, 729), (-1, 2, 578, 729), (-1, 2, 579, 729), (-1, 2, 580, 730), (-1, 2, 581, 730), (-1, 2, 582, 731), (-1, 2, 583, 731), (-1, 2, 584, 732), (-1, 2, 585, 732), (-1, 2, 586, 732), (-1, 2, 587, 733), (-1, 2, 588, 733), (-1, 2, 589, 734), (-1, 2, 590, 734), (-1, 2, 591, 735), (-1, 2, 592, 735), (-1, 2, 593, 736), (-1, 2, 594, 736), (-1, 2, 595, 737), (-1, 2, 596, 737), (-1, 2, 597, 738), (-1, 2, 598, 738), (-1, 2, 599, 739), (-1, 2, 600, 739), (-1, 2, 601, 740), (-1, 2, 602, 740), (-1, 2, 603, 741), (-1, 2, 604, 741), (-1, 2, 605, 742), (-1, 2, 606, 742), (-1, 2, 607, 743), (-1, 2, 608, 743), (-1, 2, 609, 744), (-1, 2, 610, 744), (-1, 2, 611, 745), (-1, 2, 612, 745), (-1, 2, 613, 746), (-1, 2, 614, 746), (-1, 2, 615, 747), (-1, 2, 616, 747), (-1, 2, 617, 748), (-1, 2, 618, 749), (-1, 2, 619, 749), (-1, 2, 620, 750), (-1, 2, 621, 750), (-1, 2, 622, 751), (-1, 2, 623, 751), (-1, 2, 624, 752), (-1, 2, 625, 752), (-1, 2, 626, 753), (-1, 2, 627, 753), (-1, 2, 628, 754), (-1, 2, 629, 754), (-1, 2, 630, 755), (-1, 2, 631, 755), (-1, 2, 632, 756), (-1, 2, 633, 756), (-1, 2, 634, 757), (-1, 2, 635, 757), (-1, 2, 636, 758), (-1, 2, 637, 758), (-1, 2, 638, 759), (-1, 2, 639, 759), (-1, 2, 640, 760), (-1, 2, 641, 760), (-1, 2, 642, 761), (-1, 2, 643, 761), (-1, 2, 644, 762), (-1, 2, 645, 763), (-1, 2, 646, 764), (-1, 2, 647, 765), (-1, 2, 648, 765), (-1, 2, 649, 766), (-1, 2, 650, 767), (-1, 2, 651, 768), (-1, 2, 652, 769), (-1, 2, 653, 770), (-1, 2, 654, 770), (-1, 2, 655, 771), (-1, 2, 656, 772), (-1, 2, 657, 773), (-1, 2, 658, 774), (-1, 2, 659, 775), (-1, 2, 660, 775), (-1, 2, 661, 776), (-1, 2, 662, 777), (-1, 2, 663, 778), (-1, 2, 664, 778), (-1, 2, 665, 779), (-1, 2, 666, 779), (-1, 2, 667, 780), (-1, 2, 668, 781), (-1, 2, 669, 781), (-1, 2, 670, 782), (-1, 2, 671, 783), (-1, 2, 672, 783), (-1, 2, 673, 784), (-1, 2, 674, 784), (-1, 2, 675, 785), (-1, 2, 676, 786), (-1, 2, 677, 787), (-1, 2, 678, 787), (-1, 2, 679, 788), (-1, 2, 680, 789), (-1, 2, 681, 790), (-1, 2, 682, 790), (-1, 2, 683, 791), (-1, 2, 684, 792), (-1, 2, 685, 793), (-1, 2, 686, 793), (-1, 2, 687, 794), (-1, 2, 688, 681), (-1, 686, 688, 111), (-1, 2, 689, 677), (-1, 688, 689, 110), (-1, 2, 690, 673), (-1, 691, 690, 107), (-1, 2, 691, 670), (-1, 693, 691, 106), (-1, 2, 692, 666), (-1, 696, 692, 104), (-1, 2, 693, 662), (-1, 698, 693, 103), (-1, 2, 694, 659), (-1, 716, 694, 85), (-1, 2, 695, 655), (-1, 718, 695, 84), (-1, 2, 696, 651), (-1, 720, 696, 83), (-1, 2, 697, 648), (-1, 722, 697, 81), (-1, 2, 698, 644), (-1, 724, 698, 78), (-1, 2, 699, 640), (-1, 726, 699, 76), (-1, 2, 700, 637), (-1, 728, 700, 73), (-1, 2, 701, 633), (-1, 729, 701, 72), (-1, 2, 702, 630), (-1, 729, 702, 71), (-1, 2, 703, 626), (-1, 730, 703, 70), (-1, 2, 704, 623), (-1, 731, 704, 68), (-1, 2, 705, 620), (-1, 732, 705, 67), (-1, 2, 706, 616), (-1, 732, 706, 67), (-1, 2, 707, 613), (-1, 733, 707, 65), (-1, 2, 708, 609), (-1, 734, 708, 64), (-1, 2, 709, 592), (-1, 735, 709, 62), (-1, 2, 710, 588), (-1, 735, 710, 62), (-1, 2, 711, 585), (-1, 736, 711, 60), (-1, 2, 712, 581), (-1, 737, 712, 59), (-1, 2, 713, 578), (-1, 737, 713, 58), (-1, 2, 714, 575), (-1, 738, 714, 57), (-1, 2, 715, 571), (-1, 738, 715, 57), (-1, 2, 716, 568), (-1, 739, 716, 55), (-1, 2, 717, 564), (-1, 739, 717, 55), (-1, 2, 718, 560), (-1, 740, 718, 53), (-1, 2, 719, 556), (-1, 740, 719, 53), (-1, 2, 720, 552), (-1, 741, 720, 51), (-1, 2, 721, 548), (-1, 742, 721, 50), (-1, 2, 722, 544), (-1, 742, 722, 49), (-1, 2, 723, 541), (-1, 743, 723, 48), (-1, 2, 724, 539), (-1, 743, 724, 48), (-1, 2, 725, 537), (-1, 744, 725, 46), (-1, 2, 726, 535), (-1, 744, 726, 46), (-1, 2, 727, 533), (-1, 745, 727, 44), (-1, 2, 728, 531), (-1, 746, 728, 43), (-1, 2, 729, 529), (-1, 746, 729, 42), (-1, 2, 730, 528), (-1, 747, 730, 41), (-1, 2, 731, 528), (-1, 747, 731, 40), (-1, 2, 732, 528), (-1, 748, 732, 39), (-1, 2, 733, 528), (-1, 748, 733, 38), (-1, 2, 734, 528), (-1, 749, 734, 37), (-1, 2, 735, 528), (-1, 749, 735, 37), (-1, 2, 736, 528), (-1, 750, 736, 35), (-1, 2, 737, 527), (-1, 751, 737, 34), (-1, 2, 738, 527), (-1, 751, 738, 33), (-1, 2, 739, 527), (-1, 752, 739, 32), (-1, 2, 740, 527), (-1, 752, 740, 31), (-1, 2, 741, 527), (-1, 753, 741, 30), (-1, 2, 742, 527), (-1, 753, 742, 29), (-1, 2, 743, 527), (-1, 754, 743, 28), (-1, 2, 744, 527), (-1, 754, 744, 28), (-1, 2, 745, 527), (-1, 755, 745, 26), (-1, 2, 746, 527), (-1, 756, 746, 25), (-1, 2, 747, 528), (-1, 756, 747, 24), (-1, 2, 748, 528), (-1, 757, 748, 23), (-1, 2, 749, 528), (-1, 757, 749, 22), (-1, 2, 750, 528), (-1, 758, 750, 21), (-1, 2, 751, 529), (-1, 758, 751, 20), (-1, 2, 752, 529), (-1, 759, 752, 19), (-1, 2, 753, 529), (-1, 759, 753, 19), (-1, 2, 754, 529), (-1, 760, 754, 17), (-1, 2, 755, 530), (-1, 761, 755, 16), (-1, 2, 756, 530), (-1, 761, 756, 15), (-1, 2, 757, 530), (-1, 762, 757, 14), (-1, 2, 758, 530), (-1, 762, 758, 13), (-1, 2, 759, 530), (-1, 763, 759, 12), (-1, 2, 760, 531), (-1, 763, 760, 11), (-1, 2, 761, 531), (-1, 764, 761, 10), (-1, 2, 762, 531), (-1, 765, 762, 9), (-1, 2, 763, 531), (-1, 765, 763, 8), (-1, 2, 764, 532), (-1, 766, 764, 7), (-1, 2, 765, 532), (-1, 766, 765, 6), (-1, 2, 766, 532), (-1, 767, 766, 5), (-1, 2, 767, 532), (-1, 767, 767, 4), (-1, 2, 768, 533), (-1, 768, 768, 3), (-1, 2, 769, 533), (-1, 768, 769, 2), (-1, 2, 770, 533), (-1, 769, 770, 1), (-1, 2, 771, 533), (-1, 2, 772, 533), (-1, 2, 773, 534), (-1, 2, 774, 534), (-1, 2, 775, 534), (-1, 2, 776, 534), (-1, 2, 777, 535), (-1, 2, 778, 535), (-1, 2, 779, 535), (-1, 2, 780, 535), (-1, 2, 781, 536), (-1, 2, 782, 536), (-1, 2, 783, 536), (-1, 2, 784, 535), (-1, 2, 785, 534), (-1, 2, 786, 532), (-1, 2, 787, 531), (-1, 2, 788, 530), (-1, 2, 789, 529), (-1, 2, 790, 528), (-1, 2, 791, 526), (-1, 2, 792, 525), (-1, 2, 793, 525), (-1, 2, 794, 525), (-1, 2, 795, 525), (-1, 2, 796, 524), (-1, 2, 797, 524), (-1, 2, 798, 524), (-1, 2, 799, 524), (-1, 2, 800, 524), (-1, 2, 801, 525), (-1, 2, 802, 525), (-1, 2, 803, 526), (-1, 2, 804, 527), (-1, 2, 805, 527), (-1, 2, 806, 528), (-1, 2, 807, 529), (-1, 2, 808, 530), (-1, 2, 809, 530), (-1, 2, 810, 531), (-1, 2, 811, 532), (-1, 2, 812, 532), (-1, 2, 813, 533), (-1, 2, 814, 534), (-1, 1, 815, 535), (-1, 1, 816, 536), (-1, 1, 817, 537), (-1, 1, 818, 537), (-1, 1, 819, 538), (-1, 1, 820, 539), (-1, 1, 821, 539), (-1, 1, 822, 540), (-1, 1, 823, 541), (-1, 1, 824, 542), (-1, 1, 825, 542), (-1, 1, 826, 543), (-1, 1, 827, 544), (-1, 1, 828, 544), (-1, 1, 829, 545), (-1, 1, 830, 546), (-1, 1, 831, 546), (-1, 1, 832, 547), (-1, 1, 833, 548), (-1, 1, 834, 548), (-1, 1, 835, 549), (-1, 1, 836, 550), (-1, 1, 837, 550), (-1, 1, 838, 551), (-1, 1, 839, 552), (-1, 1, 840, 553), (-1, 1, 841, 553), (-1, 1, 842, 554), (-1, 1, 843, 555), (-1, 711, 843, 2), (-1, 1, 844, 555), (-1, 709, 844, 4), (-1, 1, 845, 556), (-1, 707, 845, 5), (-1, 1, 846, 557), (-1, 705, 846, 7), (-1, 1, 847, 557), (-1, 702, 847, 10), (-1, 1, 848, 558), (-1, 700, 848, 11), (-1, 1, 849, 559), (-1, 698, 849, 13), (-1, 1, 850, 559), (-1, 696, 850, 14), (-1, 1, 851, 560), (-1, 694, 851, 16), (-1, 1, 852, 561), (-1, 691, 852, 19), (-1, 1, 853, 561), (-1, 689, 853, 20), (-1, 1, 854, 562), (-1, 687, 854, 22), (-1, 1, 855, 563), (-1, 685, 855, 23), (-1, 1, 856, 564), (-1, 682, 856, 25), (-1, 1, 857, 564), (-1, 680, 857, 26), (-1, 1, 858, 565), (-1, 678, 858, 27), (-1, 1, 859, 566), (-1, 676, 859, 28), (-1, 1, 860, 566), (-1, 673, 860, 30), (-1, 1, 861, 567), (-1, 671, 861, 32), (-1, 1, 862, 568), (-1, 669, 862, 33), (-1, 1, 863, 568), (-1, 667, 863, 34), (-1, 1, 864, 569), (-1, 664, 864, 36), (-1, 1, 865, 570), (-1, 662, 865, 37), (-1, 1, 866, 570), (-1, 660, 866, 38), (-1, 1, 867, 571), (-1, 658, 867, 40), (-1, 1, 868, 572), (-1, 656, 868, 41), (-1, 1, 869, 572), (-1, 653, 869, 44), (-1, 1, 870, 573), (-1, 651, 870, 45), (-1, 1, 871, 574), (-1, 649, 871, 47), (-1, 1, 872, 575), (-1, 647, 872, 48), (-1, 1, 873, 575), (-1, 644, 873, 51), (-1, 1, 874, 576), (-1, 642, 874, 52), (-1, 1, 875, 577), (-1, 640, 875, 54), (-1, 1, 876, 577), (-1, 638, 876, 55), (-1, 1, 877, 578), (-1, 635, 877, 58), (-1, 1, 878, 579), (-1, 633, 878, 59), (-1, 1, 879, 579), (-1, 631, 879, 61), (-1, 1, 880, 580), (-1, 629, 880, 62), (-1, 1, 881, 581), (-1, 626, 881, 65), (-1, 1, 882, 581), (-1, 624, 882, 67), (-1, 1, 883, 582), (-1, 622, 883, 68), (-1, 1, 884, 583), (-1, 620, 884, 70), (-1, 1, 885, 583), (-1, 618, 885, 71), (-1, 1, 886, 584), (-1, 615, 886, 74), (-1, 1, 887, 585), (-1, 613, 887, 75), (-1, 1, 888, 586), (-1, 611, 888, 77), (-1, 1, 889, 586), (-1, 609, 889, 78), (-1, 1, 890, 587), (-1, 606, 890, 81), (-1, 1, 891, 588), (-1, 604, 891, 82), (-1, 1, 892, 588), (-1, 602, 892, 84), (-1, 1, 893, 593), (-1, 600, 893, 85), (-1, 1, 894, 684), (-1, 1, 895, 683), (-1, 1, 896, 683), (-1, 1, 897, 683), (-1, 1, 898, 682), (-1, 1, 899, 682), (-1, 1, 900, 681), (-1, 1, 901, 681), (-1, 1, 902, 680), (-1, 1, 903, 680), (-1, 1, 904, 679), (-1, 1, 905, 679), (-1, 1, 906, 678), (-1, 1, 907, 678), (-1, 1, 908, 677), (-1, 1, 909, 677), (-1, 1, 910, 676), (-1, 1, 911, 676), (-1, 1, 912, 677), (-1, 1, 913, 677), (-1, 1, 914, 678), (-1, 1, 915, 678), (-1, 1, 916, 679), (-1, 1, 917, 679), (-1, 1, 918, 680), (-1, 1, 919, 681), (-1, 1, 920, 681), (-1, 1, 921, 682), (-1, 1, 922, 682), (-1, 1, 923, 683), (-1, 1, 924, 684), (-1, 1, 925, 684), (-1, 1, 926, 685), (-1, 1, 927, 685), (-1, 1, 928, 686), (-1, 1, 929, 686), (-1, 1, 930, 687), (-1, 1, 931, 687), (-1, 1, 932, 687), (-1, 1, 933, 687), (-1, 1, 934, 687), (-1, 1, 935, 687), (-1, 1, 936, 688), (-1, 1, 937, 688), (-1, 1, 938, 688), (-1, 1, 939, 688), (-1, 1, 940, 688), (-1, 1, 941, 688), (-1, 1, 942, 688), (-1, 1, 943, 688), (-1, 1, 944, 688), (-1, 1, 945, 688), (-1, 1, 946, 689), (-1, 1, 947, 689), (-1, 1, 948, 689), (-1, 1, 949, 689), (-1, 1, 950, 689), (-1, 1, 951, 689), (-1, 1, 952, 689), (-1, 1, 953, 689), (-1, 1, 954, 689), (-1, 1, 955, 689), (-1, 1, 956, 690), (-1, 1, 957, 690), (-1, 1, 958, 690), (-1, 1, 959, 690), (-1, 1, 960, 690), (-1, 1, 961, 690), (-1, 1, 962, 690), (-1, 1, 963, 690), (-1, 1, 964, 690), (-1, 1, 965, 690), (-1, 1, 966, 691), (-1, 1, 967, 691), (-1, 1, 968, 691), (-1, 1, 969, 691), (-1, 1, 970, 691), (-1, 1, 971, 691), (-1, 1, 972, 691), (-1, 1, 973, 691), (-1, 1, 974, 691), (-1, 1, 975, 691), (-1, 1, 976, 691), (-1, 1, 977, 692), (-1, 1, 978, 692), (-1, 1, 979, 692), (-1, 1, 980, 692), (-1, 1, 981, 692), (-1, 1, 982, 692), (-1, 1, 983, 692), (-1, 1, 984, 692), (-1, 1, 985, 692), (-1, 1, 986, 692), (-1, 1, 987, 693), (-1, 1, 988, 693), (-1, 1, 989, 693), (-1, 1, 990, 693), (-1, 1, 991, 693), (-1, 1, 992, 693), (-1, 1, 993, 693), (-1, 1, 994, 693), (-1, 1, 995, 693), (-1, 1, 996, 693), (-1, 1, 997, 694), (-1, 1, 998, 694), (-1, 1, 999, 694), (-1, 1, 1000, 694), (-1, 1, 1001, 694), (-1, 1, 1002, 694), (-1, 1, 1003, 694), (-1, 1, 1004, 694), (-1, 1, 1005, 694), (-1, 1, 1006, 694), (-1, 1, 1007, 695), (-1, 1, 1008, 695), (-1, 1, 1009, 695), (-1, 1, 1010, 695), (-1, 1, 1011, 695), (-1, 1, 1012, 695), (-1, 1, 1013, 695), (-1, 1, 1014, 695), (-1, 1, 1015, 695), (-1, 1, 1016, 695), (-1, 1, 1017, 695), (-1, 1, 1018, 696), (-1, 1, 1019, 696), (-1, 1, 1020, 696), (-1, 1, 1021, 696), (-1, 1, 1022, 696), (-1, 1, 1023, 696), (-1, 1, 1024, 696), (-1, 1, 1025, 696), (-1, 1, 1026, 696), (-1, 1, 1027, 696), (-1, 1, 1028, 697), (-1, 1, 1029, 697), (-1, 1, 1030, 697), (-1, 1, 1031, 697), (-1, 1, 1032, 697), (-1, 1, 1033, 697), (-1, 1, 1034, 697), (-1, 1, 1035, 697), (-1, 1, 1036, 697), (-1, 1, 1037, 697), (-1, 1, 1038, 698), (-1, 1, 1039, 698), (-1, 1, 1040, 698), (-1, 1, 1041, 698), (-1, 1, 1042, 698), (-1, 1, 1043, 698), (-1, 1, 1044, 698), (-1, 1, 1045, 698), (-1, 1, 1046, 698), (-1, 1, 1047, 698), (-1, 1, 1048, 698), (-1, 1, 1049, 699), (-1, 1, 1050, 699), (-1, 1, 1051, 699), (-1, 1, 1052, 699), (-1, 1, 1053, 699), (-1, 1, 1054, 699), (-1, 1, 1055, 699), (-1, 1, 1056, 699), (-1, 1, 1057, 699), (-1, 1, 1058, 699), (-1, 1, 1059, 700), (-1, 1, 1060, 700), (-1, 1, 1061, 700), (-1, 1, 1062, 700), (-1, 1, 1063, 700), (-1, 1, 1064, 700), (-1, 1, 1065, 700), (-1, 1, 1066, 700), (-1, 1, 1067, 700), (-1, 1, 1068, 700), (-1, 1, 1069, 701), (-1, 1, 1070, 701), (-1, 1, 1071, 701), (-1, 1, 1072, 701), (-1, 1, 1073, 701), (-1, 1, 1074, 701), (-1, 1, 1075, 701), (-1, 1, 1076, 701), (-1, 1, 1077, 701), (-1, 1, 1078, 701), (-1, 1, 1079, 702), (-1, 1, 1080, 702), (-1, 1, 1081, 702), (-1, 1, 1082, 702), (-1, 1, 1083, 702), (-1, 1, 1084, 702), (-1, 1, 1085, 702), (-1, 1, 1086, 702), (-1, 1, 1087, 702), (-1, 1, 1088, 702), (-1, 1, 1089, 702), (-1, 1, 1090, 703), (-1, 1, 1091, 703), (-1, 1, 1092, 703), (-1, 1, 1093, 703), (-1, 1, 1094, 703), (-1, 1, 1095, 703), (-1, 1, 1096, 703), (-1, 1, 1097, 703), (-1, 1, 1098, 703), (-1, 1, 1099, 703), (-1, 1, 1100, 704), (-1, 1, 1101, 704), (-1, 1, 1102, 704), (-1, 1, 1103, 704), (-1, 1, 1104, 704), (-1, 1, 1105, 704), (-1, 1, 1106, 704), (-1, 1, 1107, 704), (-1, 1, 1108, 704), (-1, 1, 1109, 704), (-1, 1, 1110, 705), (-1, 1, 1111, 705), (-1, 1, 1112, 705), (-1, 1, 1113, 705), (-1, 1, 1114, 705), (-1, 1, 1115, 705), (-1, 1, 1116, 705), (-1, 1, 1117, 705), (-1, 1, 1118, 705), (-1, 1, 1119, 705), (-1, 1, 1120, 706), (-1, 1, 1121, 706), (-1, 1, 1122, 706), (-1, 1, 1123, 706), (-1, 1, 1124, 706), (-1, 1, 1125, 706), (-1, 1, 1126, 706), (-1, 1, 1127, 706), (-1, 1, 1128, 707), (-1, 1, 1129, 707), (-1, 1, 1130, 707), (-1, 1, 1131, 707), (-1, 1, 1132, 707), (-1, 1, 1133, 708), (-1, 1, 1134, 708), (-1, 1, 1135, 708), (-1, 1, 1136, 708), (-1, 1, 1137, 708), (-1, 1, 1138, 708), (-1, 1, 1139, 709), (-1, 1, 1140, 709), (-1, 1, 1141, 709), (-1, 1, 1142, 709), (-1, 1, 1143, 709), (-1, 1, 1144, 710), (-1, 1, 1145, 710), (-1, 1, 1146, 710), (-1, 1, 1147, 710), (-1, 1, 1148, 710), (-1, 1, 1149, 711), (-1, 1, 1150, 711), (-1, 1, 1151, 711), (-1, 1, 1152, 711), (-1, 1, 1153, 711), (-1, 1, 1154, 711), (-1, 1, 1155, 712), (-1, 1, 1156, 712), (-1, 1, 1157, 712), (-1, 1, 1158, 712), (-1, 1, 1159, 712), (-1, 1, 1160, 713), (-1, 1, 1161, 713), (-1, 1, 1162, 713), (-1, 1, 1163, 713), (-1, 1, 1164, 713), (-1, 1, 1165, 714), (-1, 1, 1166, 714), (-1, 1, 1167, 714), (-1, 1, 1168, 714), (-1, 1, 1169, 714), (-1, 1, 1170, 714), (-1, 1, 1171, 715), (-1, 1, 1172, 715), (-1, 1, 1173, 715), (-1, 1, 1174, 715), (-1, 1, 1175, 715), (-1, 1, 1176, 716), (-1, 1, 1177, 716), (-1, 1, 1178, 716), (-1, 1, 1179, 716), (-1, 1, 1180, 716), (-1, 1, 1181, 717), (-1, 1, 1182, 195), (-1, 200, 1182, 518), (-1, 1, 1183, 188), (-1, 200, 1183, 518), (-1, 1, 1184, 181), (-1, 201, 1184, 517), (-1, 1, 1185, 169), (-1, 201, 1185, 517), (-1, 1, 1186, 156), (-1, 202, 1186, 516), (-1, 1, 1187, 149), (-1, 203, 1187, 516), (-1, 1, 1188, 142), (-1, 203, 1188, 516), (-1, 1, 1189, 119), (-1, 204, 1189, 515), (-1, 1, 1190, 117), (-1, 204, 1190, 515), (-1, 1, 1191, 115), (-1, 205, 1191, 514), (-1, 1, 1192, 113), (-1, 205, 1192, 515), (-1, 1, 1193, 112), (-1, 205, 1193, 515), (-1, 1, 1194, 110), (-1, 206, 1194, 514), (-1, 1, 1195, 108), (-1, 206, 1195, 514), (-1, 1, 1196, 106), (-1, 206, 1196, 514), (-1, 1, 1197, 105), (-1, 206, 1197, 515), (-1, 1, 1198, 104), (-1, 207, 1198, 514), (-1, 1, 1199, 104), (-1, 207, 1199, 514), (-1, 1, 1200, 103), (-1, 207, 1200, 514), (-1, 1, 1201, 102), (-1, 207, 1201, 514), (-1, 1, 1202, 101), (-1, 207, 1202, 514), (-1, 1, 1203, 100), (-1, 208, 1203, 514), (-1, 1, 1204, 99), (-1, 208, 1204, 514), (-1, 1, 1205, 99), (-1, 208, 1205, 514), (-1, 1, 1206, 98), (-1, 209, 1206, 512), (-1, 1, 1207, 97), (-1, 210, 1207, 509), (-1, 1, 1208, 96), (-1, 211, 1208, 507), (-1, 1, 1209, 95), (-1, 212, 1209, 504), (-1, 1, 1210, 95), (-1, 213, 1210, 502), (-1, 1, 1211, 94), (-1, 213, 1211, 500), (-1, 1, 1212, 93), (-1, 214, 1212, 499), (-1, 1, 1213, 92), (-1, 215, 1213, 497), (-1, 1, 1214, 91), (-1, 216, 1214, 496), (-1, 1, 1215, 90), (-1, 217, 1215, 494), (-1, 1, 1216, 90), (-1, 216, 1216, 495), (-1, 1, 1217, 89), (-1, 216, 1217, 494), (-1, 1, 1218, 88), (-1, 215, 1218, 495), (-1, 1, 1219, 85), (-1, 215, 1219, 494), (-1, 1, 1220, 79), (-1, 214, 1220, 495), (-1, 1, 1221, 73), (-1, 214, 1221, 495), (-1, 1, 1222, 67), (-1, 213, 1222, 495), (-1, 1, 1223, 61), (-1, 213, 1223, 495), (-1, 1, 1224, 55), (-1, 212, 1224, 495), (-1, 1, 1225, 50), (-1, 212, 1225, 495), (-1, 1, 1226, 44), (-1, 211, 1226, 495), (-1, 1, 1227, 38), (-1, 211, 1227, 495), (-1, 1, 1228, 32), (-1, 210, 1228, 497), (-1, 1, 1229, 26), (-1, 209, 1229, 499), (-1, 1, 1230, 20), (-1, 208, 1230, 502), (-1, 1, 1231, 18), (-1, 208, 1231, 503), (-1, 1, 1232, 18), (-1, 207, 1232, 505), (-1, 1, 1233, 18), (-1, 206, 1233, 507), (-1, 1, 1234, 18), (-1, 205, 1234, 508), (-1, 1, 1235, 18), (-1, 204, 1235, 510), (-1, 1, 1236, 18), (-1, 203, 1236, 511), (-1, 1, 1237, 18), (-1, 202, 1237, 513), (-1, 1, 1238, 18), (-1, 202, 1238, 513), (-1, 1, 1239, 18), (-1, 201, 1239, 514), (-1, 1, 1240, 18), (-1, 200, 1240, 516), (-1, 1, 1241, 18), (-1, 199, 1241, 517), (-1, 1, 1242, 18), (-1, 198, 1242, 519), (-1, 1, 1243, 18), (-1, 198, 1243, 519), (-1, 1, 1244, 18), (-1, 197, 1244, 520), (-1, 1, 1245, 18), (-1, 197, 1245, 521), (-1, 1, 1246, 18), (-1, 196, 1246, 522), (-1, 1, 1247, 18), (-1, 196, 1247, 523), (-1, 1, 1248, 19), (-1, 195, 1248, 524), (-1, 1, 1249, 19), (-1, 195, 1249, 524), (-1, 1, 1250, 19), (-1, 195, 1250, 525), (-1, 1, 1251, 19), (-1, 195, 1251, 525), (-1, 1, 1252, 19), (-1, 195, 1252, 526), (-1, 1, 1253, 19), (-1, 195, 1253, 526), (-1, 1, 1254, 19), (-1, 195, 1254, 526), (-1, 1, 1255, 19), (-1, 195, 1255, 527), (-1, 1, 1256, 19), (-1, 196, 1256, 526), (-1, 1, 1257, 19), (-1, 196, 1257, 527), (-1, 1, 1258, 19), (-1, 196, 1258, 527), (-1, 1, 1259, 19), (-1, 196, 1259, 527), (-1, 1, 1260, 19), (-1, 196, 1260, 528), (-1, 1, 1261, 19), (-1, 196, 1261, 528), (-1, 1, 1262, 19), (-1, 196, 1262, 529), (-1, 1, 1263, 19), (-1, 196, 1263, 529), (-1, 1, 1264, 19), (-1, 196, 1264, 529), (-1, 1, 1265, 19), (-1, 197, 1265, 529), (-1, 1, 1266, 19), (-1, 197, 1266, 529), (-1, 1, 1267, 19), (-1, 198, 1267, 529), (-1, 1, 1268, 19), (-1, 198, 1268, 529), (-1, 1, 1269, 19), (-1, 199, 1269, 528), (-1, 1, 1270, 19), (-1, 199, 1270, 528), (-1, 1, 1271, 19), (-1, 200, 1271, 528), (-1, 1, 1272, 19), (-1, 200, 1272, 528), (-1, 1, 1273, 19), (-1, 201, 1273, 527), (-1, 1, 1274, 19), (-1, 201, 1274, 527), (-1, 1, 1275, 19), (-1, 202, 1275, 526), (-1, 1, 1276, 19), (-1, 203, 1276, 526), (-1, 1, 1277, 19), (-1, 204, 1277, 525), (-1, 1, 1278, 19), (-1, 205, 1278, 524), (-1, 1, 1279, 19), (-1, 206, 1279, 523), (-1, 1, 1280, 19), (-1, 207, 1280, 522), (-1, 1, 1281, 19), (-1, 208, 1281, 521), (-1, 1, 1282, 19), (-1, 209, 1282, 14), (-1, 227, 1282, 503), (-1, 1, 1283, 19), (-1, 210, 1283, 5), (-1, 229, 1283, 501), (-1, 1, 1284, 20), (-1, 230, 1284, 500), (-1, 1, 1285, 20), (-1, 232, 1285, 498), (-1, 1, 1286, 20), (-1, 233, 1286, 497), (-1, 1, 1287, 20), (-1, 235, 1287, 496), (-1, 1, 1288, 20), (-1, 236, 1288, 495), (-1, 1, 1289, 20), (-1, 237, 1289, 494), (-1, 1, 1290, 20), (-1, 239, 1290, 493), (-1, 1, 1291, 20), (-1, 240, 1291, 492), (-1, 1, 1292, 20), (-1, 242, 1292, 491), (-1, 1, 1293, 20), (-1, 243, 1293, 491), (-1, 1, 1294, 20), (-1, 245, 1294, 489), (-1, 1, 1295, 20), (-1, 246, 1295, 489), (-1, 1, 1296, 20), (-1, 248, 1296, 487), (-1, 1, 1297, 20), (-1, 249, 1297, 487), (-1, 1, 1298, 20), (-1, 251, 1298, 486), (-1, 1, 1299, 20), (-1, 252, 1299, 485), (-1, 1, 1300, 20), (-1, 254, 1300, 484), (-1, 1, 1301, 20), (-1, 255, 1301, 484), (-1, 1, 1302, 20), (-1, 256, 1302, 483), (-1, 1, 1303, 20), (-1, 258, 1303, 482), (-1, 1, 1304, 20), (-1, 259, 1304, 482), (-1, 1, 1305, 20), (-1, 261, 1305, 480), (-1, 1, 1306, 20), (-1, 262, 1306, 480), (-1, 1, 1307, 20), (-1, 264, 1307, 478), (-1, 1, 1308, 20), (-1, 265, 1308, 478), (-1, 1, 1309, 20), (-1, 267, 1309, 477), (-1, 1, 1310, 20), (-1, 268, 1310, 476), (-1, 1, 1311, 20), (-1, 270, 1311, 475), (-1, 1, 1312, 20), (-1, 271, 1312, 474), (-1, 1, 1313, 20), (-1, 273, 1313, 472), (-1, 1, 1314, 20), (-1, 274, 1314, 470), (-1, 1, 1315, 20), (-1, 276, 1315, 468), (-1, 1, 1316, 20), (-1, 277, 1316, 467), (-1, 1, 1317, 20), (-1, 278, 1317, 466), (-1, 1, 1318, 20), (-1, 280, 1318, 463), (-1, 1, 1319, 20), (-1, 281, 1319, 462), (-1, 1, 1320, 21), (-1, 283, 1320, 460), (-1, 1, 1321, 21), (-1, 284, 1321, 459), (-1, 1, 1322, 21), (-1, 286, 1322, 456), (-1, 1, 1323, 21), (-1, 287, 1323, 455), (-1, 1, 1324, 21), (-1, 289, 1324, 453), (-1, 1, 1325, 21), (-1, 290, 1325, 452), (-1, 1, 1326, 21), (-1, 292, 1326, 449), (-1, 1, 1327, 21), (-1, 293, 1327, 448), (-1, 1, 1328, 21), (-1, 295, 1328, 446), (-1, 1, 1329, 21), (-1, 296, 1329, 445), (-1, 1, 1330, 21), (-1, 297, 1330, 443), (-1, 1, 1331, 21), (-1, 299, 1331, 441), (-1, 1, 1332, 21), (-1, 300, 1332, 440), (-1, 1, 1333, 21), (-1, 302, 1333, 438), (-1, 1, 1334, 21), (-1, 303, 1334, 436), (-1, 1, 1335, 21), (-1, 305, 1335, 434), (-1, 1, 1336, 21), (-1, 306, 1336, 433), (-1, 1, 1337, 21), (-1, 308, 1337, 431), (-1, 1, 1338, 21), (-1, 309, 1338, 429), (-1, 1, 1339, 21), (-1, 311, 1339, 427), (-1, 1, 1340, 21), (-1, 312, 1340, 426), (-1, 1, 1341, 21), (-1, 314, 1341, 424), (-1, 1, 1342, 21), (-1, 315, 1342, 422), (-1, 1, 1343, 21), (-1, 316, 1343, 421), (-1, 1, 1344, 21), (-1, 318, 1344, 419), (-1, 1, 1345, 21), (-1, 319, 1345, 418), (-1, 1, 1346, 21), (-1, 321, 1346, 415), (-1, 1, 1347, 21), (-1, 322, 1347, 414), (-1, 1, 1348, 21), (-1, 324, 1348, 412), (-1, 1, 1349, 21), (-1, 325, 1349, 411), (-1, 1, 1350, 21), (-1, 327, 1350, 409), (-1, 1, 1351, 21), (-1, 328, 1351, 407), (-1, 1, 1352, 21), (-1, 330, 1352, 405), (-1, 1, 1353, 21), (-1, 331, 1353, 404), (-1, 1, 1354, 21), (-1, 333, 1354, 402), (-1, 1, 1355, 21), (-1, 334, 1355, 400), (-1, 1, 1356, 22), (-1, 335, 1356, 399), (-1, 1, 1357, 22), (-1, 337, 1357, 397), (-1, 0, 1358, 23), (-1, 338, 1358, 396), (-1, 0, 1359, 23), (-1, 340, 1359, 393), (-1, 0, 1360, 23), (-1, 341, 1360, 392), (-1, 0, 1361, 23), (-1, 343, 1361, 390), (-1, 0, 1362, 23), (-1, 344, 1362, 389), (-1, 0, 1363, 23), (-1, 346, 1363, 386), (-1, 0, 1364, 23), (-1, 347, 1364, 385), (-1, 0, 1365, 23), (-1, 349, 1365, 383), (-1, 0, 1366, 23), (-1, 350, 1366, 382), (-1, 0, 1367, 23), (-1, 352, 1367, 379), (-1, 0, 1368, 23), (-1, 353, 1368, 378), (-1, 0, 1369, 23), (-1, 354, 1369, 377), (-1, 0, 1370, 23), (-1, 356, 1370, 375), (-1, 0, 1371, 23), (-1, 357, 1371, 373), (-1, 0, 1372, 23), (-1, 359, 1372, 371), (-1, 0, 1373, 23), (-1, 360, 1373, 370), (-1, 0, 1374, 23), (-1, 362, 1374, 368), (-1, 0, 1375, 23), (-1, 363, 1375, 366), (-1, 0, 1376, 23), (-1, 365, 1376, 364), (-1, 0, 1377, 23), (-1, 366, 1377, 363), (-1, 0, 1378, 23), (-1, 368, 1378, 361), (-1, 0, 1379, 23), (-1, 369, 1379, 359), (-1, 0, 1380, 23), (-1, 371, 1380, 357), (-1, 0, 1381, 23), (-1, 372, 1381, 356), (-1, 0, 1382, 23), (-1, 374, 1382, 354), (-1, 0, 1383, 23), (-1, 375, 1383, 352), (-1, 0, 1384, 23), (-1, 376, 1384, 351), (-1, 0, 1385, 23), (-1, 378, 1385, 349), (-1, 0, 1386, 23), (-1, 379, 1386, 347), (-1, 0, 1387, 23), (-1, 381, 1387, 343), (-1, 0, 1388, 23), (-1, 382, 1388, 340), (-1, 0, 1389, 23), (-1, 384, 1389, 337), (-1, 0, 1390, 23), (-1, 385, 1390, 334), (-1, 0, 1391, 23), (-1, 387, 1391, 330), (-1, 0, 1392, 24), (-1, 388, 1392, 327), (-1, 0, 1393, 24), (-1, 390, 1393, 324), (-1, 0, 1394, 24), (-1, 391, 1394, 321), (-1, 0, 1395, 24), (-1, 393, 1395, 317), (-1, 0, 1396, 24), (-1, 394, 1396, 315), (-1, 0, 1397, 24), (-1, 395, 1397, 312), (-1, 0, 1398, 24), (-1, 397, 1398, 308), (-1, 0, 1399, 24), (-1, 398, 1399, 305), (-1, 0, 1400, 24), (-1, 400, 1400, 302), (-1, 0, 1401, 24), (-1, 401, 1401, 299), (-1, 0, 1402, 24), (-1, 403, 1402, 295), (-1, 0, 1403, 24), (-1, 404, 1403, 293), (-1, 0, 1404, 24), (-1, 406, 1404, 289), (-1, 0, 1405, 24), (-1, 407, 1405, 286), (-1, 0, 1406, 24), (-1, 409, 1406, 282), (-1, 0, 1407, 24), (-1, 410, 1407, 280), (-1, 0, 1408, 24), (-1, 412, 1408, 276), (-1, 0, 1409, 24), (-1, 413, 1409, 273), (-1, 0, 1410, 24), (-1, 414, 1410, 271), (-1, 0, 1411, 24), (-1, 416, 1411, 267), (-1, 0, 1412, 24), (-1, 417, 1412, 264), (-1, 0, 1413, 24), (-1, 419, 1413, 260), (-1, 0, 1414, 24), (-1, 420, 1414, 258), (-1, 0, 1415, 24), (-1, 422, 1415, 254), (-1, 0, 1416, 24), (-1, 423, 1416, 251), (-1, 0, 1417, 24), (-1, 425, 1417, 249), (-1, 0, 1418, 24), (-1, 426, 1418, 247), (-1, 0, 1419, 24), (-1, 428, 1419, 245), (-1, 0, 1420, 24), (-1, 429, 1420, 243), (-1, 0, 1421, 24), (-1, 431, 1421, 241), (-1, 0, 1422, 24), (-1, 432, 1422, 239), (-1, 0, 1423, 24), (-1, 433, 1423, 238), (-1, 0, 1424, 24), (-1, 435, 1424, 235), (-1, 0, 1425, 24), (-1, 436, 1425, 234), (-1, 0, 1426, 24), (-1, 438, 1426, 231), (-1, 0, 1427, 24), (-1, 439, 1427, 230), (-1, 0, 1428, 25), (-1, 441, 1428, 227), (-1, 0, 1429, 25), (-1, 442, 1429, 225), (-1, 0, 1430, 25), (-1, 444, 1430, 222), (-1, 0, 1431, 25), (-1, 445, 1431, 221), (-1, 0, 1432, 25), (-1, 447, 1432, 218), (-1, 0, 1433, 25), (-1, 91, 1433, 3), (-1, 448, 1433, 216), (-1, 0, 1434, 25), (-1, 85, 1434, 8), (-1, 450, 1434, 213), (-1, 0, 1435, 25), (-1, 79, 1435, 13), (-1, 451, 1435, 212), (-1, 0, 1436, 25), (-1, 73, 1436, 19), (-1, 452, 1436, 210), (-1, 0, 1437, 25), (-1, 68, 1437, 23), (-1, 454, 1437, 207), (-1, 0, 1438, 25), (-1, 62, 1438, 28), (-1, 455, 1438, 204), (-1, 0, 1439, 25), (-1, 56, 1439, 33), (-1, 457, 1439, 200), (-1, 0, 1440, 25), (-1, 50, 1440, 38), (-1, 458, 1440, 197), (-1, 0, 1441, 25), (-1, 45, 1441, 42), (-1, 460, 1441, 193), (-1, 0, 1442, 25), (-1, 39, 1442, 48), (-1, 461, 1442, 190), (-1, 0, 1443, 25), (-1, 33, 1443, 53), (-1, 463, 1443, 186), (-1, 0, 1444, 25), (-1, 27, 1444, 58), (-1, 464, 1444, 183), (-1, 0, 1445, 84), (-1, 466, 1445, 179), (-1, 0, 1446, 83), (-1, 467, 1446, 176), (-1, 0, 1447, 82), (-1, 469, 1447, 172), (-1, 0, 1448, 82), (-1, 470, 1448, 169), (-1, 0, 1449, 81), (-1, 472, 1449, 165), (-1, 0, 1450, 80), (-1, 473, 1450, 162), (-1, 0, 1451, 79), (-1, 474, 1451, 159), (-1, 0, 1452, 78), (-1, 476, 1452, 155), (-1, 0, 1453, 77), (-1, 477, 1453, 152), (-1, 0, 1454, 77), (-1, 479, 1454, 148), (-1, 0, 1455, 76), (-1, 480, 1455, 145), (-1, 0, 1456, 75), (-1, 482, 1456, 141), (-1, 0, 1457, 74), (-1, 483, 1457, 138), (-1, 0, 1458, 73), (-1, 485, 1458, 133), (-1, 0, 1459, 72), (-1, 486, 1459, 128), (-1, 0, 1460, 72), (-1, 488, 1460, 122), (-1, 0, 1461, 71), (-1, 489, 1461, 117), (-1, 0, 1462, 70), (-1, 491, 1462, 111), (-1, 0, 1463, 69), (-1, 492, 1463, 106), (-1, 0, 1464, 68), (-1, 493, 1464, 101), (-1, 0, 1465, 68), (-1, 495, 1465, 97), (-1, 0, 1466, 67), (-1, 496, 1466, 94), (-1, 0, 1467, 66), (-1, 498, 1467, 89), (-1, 0, 1468, 65), (-1, 499, 1468, 86), (-1, 0, 1469, 64), (-1, 501, 1469, 82), (-1, 0, 1470, 63), (-1, 501, 1470, 79), (-1, 0, 1471, 63), (-1, 501, 1471, 77), (-1, 0, 1472, 62), (-1, 501, 1472, 75), (-1, 0, 1473, 61), (-1, 501, 1473, 72), (-1, 0, 1474, 60), (-1, 501, 1474, 70), (-1, 0, 1475, 59), (-1, 501, 1475, 67), (-1, 0, 1476, 58), (-1, 501, 1476, 65), (-1, 0, 1477, 58), (-1, 501, 1477, 62), (-1, 0, 1478, 57), (-1, 501, 1478, 60), (-1, 0, 1479, 56), (-1, 501, 1479, 57), (-1, 0, 1480, 55), (-1, 501, 1480, 55), (-1, 0, 1481, 54), (-1, 501, 1481, 52), (-1, 0, 1482, 53), (-1, 501, 1482, 50), (-1, 0, 1483, 53), (-1, 501, 1483, 46), (-1, 0, 1484, 52), (-1, 501, 1484, 42), (-1, 0, 1485, 51), (-1, 501, 1485, 38), (-1, 0, 1486, 23), (-1, 24, 1486, 26), (-1, 502, 1486, 33), (-1, 0, 1487, 23), (-1, 26, 1487, 23), (-1, 502, 1487, 28), (-1, 0, 1488, 23), (-1, 29, 1488, 19), (-1, 502, 1488, 24), (-1, 0, 1489, 23), (-1, 33, 1489, 15), (-1, 502, 1489, 20), (-1, 0, 1490, 23), (-1, 38, 1490, 9), (-1, 502, 1490, 15), (-1, 0, 1491, 22), (-1, 43, 1491, 3), (-1, 502, 1491, 11), (-1, 0, 1492, 22), (-1, 502, 1492, 7), (-1, 0, 1493, 22), (-1, 502, 1493, 3), (-1, 0, 1494, 22), (-1, 0, 1495, 22), (-1, 0, 1496, 22), (-1, 0, 1497, 22), (-1, 0, 1498, 22), (-1, 0, 1499, 22), (-1, 0, 1500, 22), (-1, 0, 1501, 22), (-1, 0, 1502, 22), (-1, 0, 1503, 21), (-1, 0, 1504, 21), (-1, 0, 1505, 21), (-1, 0, 1506, 21), (-1, 0, 1507, 21), (-1, 0, 1508, 21), (-1, 0, 1509, 21), (-1, 0, 1510, 21), (-1, 0, 1511, 21), (-1, 0, 1512, 21), (-1, 0, 1513, 21), (-1, 0, 1514, 21), (-1, 0, 1515, 20), (-1, 0, 1516, 20), (-1, 0, 1517, 20), (-1, 0, 1518, 20), (-1, 0, 1519, 20), (-1, 0, 1520, 20), (-1, 0, 1521, 20), (-1, 0, 1522, 20), (-1, 0, 1523, 20), (-1, 0, 1524, 20), (-1, 0, 1525, 20), (-1, 0, 1526, 20), (-1, 0, 1527, 19), (-1, 0, 1528, 19), (-1, 0, 1529, 19), (-1, 0, 1530, 19), (-1, 0, 1531, 19), (-1, 0, 1532, 19), (-1, 0, 1533, 19), (-1, 0, 1534, 19), (-1, 0, 1535, 19), (-1, 0, 1536, 19), (-1, 0, 1537, 19), (-1, 0, 1538, 18), (-1, 0, 1539, 18), (-1, 0, 1540, 18), (-1, 0, 1541, 18), (-1, 0, 1542, 18), (-1, 0, 1543, 18), (-1, 0, 1544, 18), (-1, 0, 1545, 18), (-1, 0, 1546, 18), (-1, 0, 1547, 18), (-1, 0, 1548, 18), (-1, 0, 1549, 18), (-1, 0, 1550, 17), (-1, 0, 1551, 17), (-1, 0, 1552, 17), (-1, 0, 1553, 17), (-1, 0, 1554, 17), (-1, 0, 1555, 17), (-1, 0, 1556, 17), (-1, 0, 1557, 17), (-1, 0, 1558, 17), (-1, 0, 1559, 17), (-1, 0, 1560, 17), (-1, 0, 1561, 17), (-1, 0, 1562, 16), (-1, 0, 1563, 16), (-1, 0, 1564, 16), (-1, 0, 1565, 16), (-1, 0, 1566, 16), (-1, 0, 1567, 16), (-1, 0, 1568, 16), (-1, 0, 1569, 16), (-1, 0, 1570, 16), (-1, 0, 1571, 16), (-1, 0, 1572, 16), (-1, 0, 1573, 16), (-1, 0, 1574, 15), (-1, 0, 1575, 15), (-1, 0, 1576, 15), (-1, 0, 1577, 15), (-1, 0, 1578, 15), (-1, 0, 1579, 15), (-1, 0, 1580, 15), (-1, 0, 1581, 15), (-1, 0, 1582, 15), (-1, 0, 1583, 15), (-1, 0, 1584, 15), (-1, 0, 1585, 14), (-1, 0, 1586, 14), (-1, 0, 1587, 14), (-1, 0, 1588, 14), (-1, 0, 1589, 14), (-1, 0, 1590, 14), (-1, 0, 1591, 14), (-1, 0, 1592, 14), (-1, 0, 1593, 14), (-1, 0, 1594, 14), (-1, 0, 1595, 14), (-1, 0, 1596, 14), (-1, 0, 1597, 13), (-1, 0, 1598, 13), (-1, 0, 1599, 13), (-1, 0, 1600, 13), (-1, 0, 1601, 13), (-1, 0, 1602, 13), (-1, 0, 1603, 13), (-1, 0, 1604, 13), (-1, 0, 1605, 13), (-1, 0, 1606, 13), (-1, 0, 1607, 13), (-1, 0, 1608, 13), (-1, 0, 1609, 12), (-1, 0, 1610, 12), (-1, 0, 1611, 12), (-1, 0, 1612, 12), (-1, 0, 1613, 12), (-1, 0, 1614, 12), (-1, 0, 1615, 12), (-1, 0, 1616, 12), (-1, 0, 1617, 12), (-1, 0, 1618, 12), (-1, 0, 1619, 12), (-1, 0, 1620, 12), (-1, 0, 1621, 11), (-1, 0, 1622, 11), (-1, 0, 1623, 11), (-1, 0, 1624, 11), (-1, 0, 1625, 11), (-1, 0, 1626, 11), (-1, 0, 1627, 9), (-1, 0, 1628, 6), (-1, 0, 1629, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 1140, 'x1': 1246, 'y0': 218, 'y1': 260, 'score': 1.0, 'id': None, 'points': ['1201,260,1210,258,1222,254,1234,249,1246,237,1239,231,1227,224,1215,218,1198,221,1192,221,1191,225,1177,224,1168,219,1162,230,1140,257,1162,248,1191,233'], 'sub_photo_id': 0, 'rles': [(-1, 1213, 218, 3), (-1, 1168, 219, 1), (-1, 1207, 219, 11), (-1, 1167, 220, 4), (-1, 1201, 220, 19), (-1, 1167, 221, 6), (-1, 1192, 221, 30), (-1, 1166, 222, 9), (-1, 1192, 222, 32), (-1, 1166, 223, 11), (-1, 1191, 223, 35), (-1, 1165, 224, 19), (-1, 1191, 224, 37), (-1, 1165, 225, 65), (-1, 1164, 226, 68), (-1, 1164, 227, 69), (-1, 1163, 228, 72), (-1, 1163, 229, 74), (-1, 1162, 230, 77), (-1, 1161, 231, 79), (-1, 1160, 232, 81), (-1, 1160, 233, 82), (-1, 1159, 234, 85), (-1, 1158, 235, 31), (-1, 1192, 235, 53), (-1, 1157, 236, 30), (-1, 1192, 236, 54), (-1, 1156, 237, 29), (-1, 1192, 237, 55), (-1, 1155, 238, 28), (-1, 1193, 238, 53), (-1, 1155, 239, 26), (-1, 1193, 239, 52), (-1, 1154, 240, 25), (-1, 1194, 240, 50), (-1, 1153, 241, 24), (-1, 1194, 241, 49), (-1, 1152, 242, 23), (-1, 1194, 242, 48), (-1, 1151, 243, 22), (-1, 1195, 243, 46), (-1, 1151, 244, 20), (-1, 1195, 244, 45), (-1, 1150, 245, 19), (-1, 1195, 245, 44), (-1, 1149, 246, 18), (-1, 1196, 246, 42), (-1, 1148, 247, 17), (-1, 1196, 247, 41), (-1, 1147, 248, 16), (-1, 1197, 248, 39), (-1, 1147, 249, 14), (-1, 1197, 249, 38), (-1, 1146, 250, 13), (-1, 1197, 250, 36), (-1, 1145, 251, 11), (-1, 1198, 251, 33), (-1, 1144, 252, 10), (-1, 1198, 252, 31), (-1, 1143, 253, 9), (-1, 1198, 253, 28), (-1, 1142, 254, 7), (-1, 1199, 254, 25), (-1, 1142, 255, 5), (-1, 1199, 255, 22), (-1, 1141, 256, 3), (-1, 1200, 256, 18), (-1, 1140, 257, 2), (-1, 1200, 257, 15), (-1, 1200, 258, 12), (-1, 1201, 259, 7), (-1, 1201, 260, 3)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 13, 'x1': 46, 'y0': 1487, 'y1': 1620, 'score': 1.0, 'id': None, 'points': ['13,1620,21,1487,46,1497,46,1515,42,1533,27,1580'], 'sub_photo_id': 0, 'rles': [(-1, 21, 1487, 2), (-1, 21, 1488, 4), (-1, 21, 1489, 7), (-1, 21, 1490, 9), (-1, 21, 1491, 12), (-1, 21, 1492, 14), (-1, 21, 1493, 17), (-1, 21, 1494, 19), (-1, 21, 1495, 22), (-1, 20, 1496, 25), (-1, 20, 1497, 27), (-1, 20, 1498, 27), (-1, 20, 1499, 27), (-1, 20, 1500, 27), (-1, 20, 1501, 27), (-1, 20, 1502, 27), (-1, 20, 1503, 27), (-1, 20, 1504, 27), (-1, 20, 1505, 27), (-1, 20, 1506, 27), (-1, 20, 1507, 27), (-1, 20, 1508, 27), (-1, 20, 1509, 27), (-1, 20, 1510, 27), (-1, 20, 1511, 27), (-1, 19, 1512, 28), (-1, 19, 1513, 28), (-1, 19, 1514, 28), (-1, 19, 1515, 28), (-1, 19, 1516, 28), (-1, 19, 1517, 28), (-1, 19, 1518, 27), (-1, 19, 1519, 27), (-1, 19, 1520, 27), (-1, 19, 1521, 27), (-1, 19, 1522, 26), (-1, 19, 1523, 26), (-1, 19, 1524, 26), (-1, 19, 1525, 26), (-1, 19, 1526, 26), (-1, 19, 1527, 25), (-1, 19, 1528, 25), (-1, 18, 1529, 26), (-1, 18, 1530, 26), (-1, 18, 1531, 25), (-1, 18, 1532, 25), (-1, 18, 1533, 25), (-1, 18, 1534, 25), (-1, 18, 1535, 24), (-1, 18, 1536, 24), (-1, 18, 1537, 24), (-1, 18, 1538, 23), (-1, 18, 1539, 23), (-1, 18, 1540, 23), (-1, 18, 1541, 22), (-1, 18, 1542, 22), (-1, 18, 1543, 22), (-1, 18, 1544, 21), (-1, 18, 1545, 21), (-1, 17, 1546, 22), (-1, 17, 1547, 22), (-1, 17, 1548, 21), (-1, 17, 1549, 21), (-1, 17, 1550, 21), (-1, 17, 1551, 20), (-1, 17, 1552, 20), (-1, 17, 1553, 20), (-1, 17, 1554, 19), (-1, 17, 1555, 19), (-1, 17, 1556, 19), (-1, 17, 1557, 18), (-1, 17, 1558, 18), (-1, 17, 1559, 18), (-1, 17, 1560, 17), (-1, 17, 1561, 17), (-1, 16, 1562, 18), (-1, 16, 1563, 17), (-1, 16, 1564, 17), (-1, 16, 1565, 17), (-1, 16, 1566, 16), (-1, 16, 1567, 16), (-1, 16, 1568, 16), (-1, 16, 1569, 16), (-1, 16, 1570, 15), (-1, 16, 1571, 15), (-1, 16, 1572, 15), (-1, 16, 1573, 14), (-1, 16, 1574, 14), (-1, 16, 1575, 14), (-1, 16, 1576, 13), (-1, 16, 1577, 13), (-1, 16, 1578, 13), (-1, 15, 1579, 13), (-1, 15, 1580, 13), (-1, 15, 1581, 13), (-1, 15, 1582, 12), (-1, 15, 1583, 12), (-1, 15, 1584, 12), (-1, 15, 1585, 11), (-1, 15, 1586, 11), (-1, 15, 1587, 11), (-1, 15, 1588, 10), (-1, 15, 1589, 10), (-1, 15, 1590, 9), (-1, 15, 1591, 9), (-1, 15, 1592, 9), (-1, 15, 1593, 8), (-1, 15, 1594, 8), (-1, 15, 1595, 8), (-1, 14, 1596, 8), (-1, 14, 1597, 8), (-1, 14, 1598, 8), (-1, 14, 1599, 7), (-1, 14, 1600, 7), (-1, 14, 1601, 7), (-1, 14, 1602, 6), (-1, 14, 1603, 6), (-1, 14, 1604, 6), (-1, 14, 1605, 5), (-1, 14, 1606, 5), (-1, 14, 1607, 5), (-1, 14, 1608, 4), (-1, 14, 1609, 4), (-1, 14, 1610, 3), (-1, 14, 1611, 3), (-1, 13, 1612, 4), (-1, 13, 1613, 3), (-1, 13, 1614, 3), (-1, 13, 1615, 3), (-1, 13, 1616, 2), (-1, 13, 1617, 2), (-1, 13, 1618, 2), (-1, 13, 1619, 1), (-1, 13, 1620, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 1234, 'x1': 1299, 'y0': 959, 'y1': 1046, 'score': 1.0, 'id': None, 'points': ['1257,1046,1261,1035,1279,1031,1279,1014,1279,1005,1290,986,1299,974,1296,960,1282,959,1273,962,1266,966,1255,980,1234,1007,1234,1013,1239,1023,1242,1032,1248,1040'], 'sub_photo_id': 0, 'rles': [(-1, 1281, 959, 8), (-1, 1278, 960, 19), (-1, 1275, 961, 22), (-1, 1273, 962, 24), (-1, 1271, 963, 27), (-1, 1269, 964, 29), (-1, 1267, 965, 31), (-1, 1266, 966, 32), (-1, 1265, 967, 34), (-1, 1264, 968, 35), (-1, 1264, 969, 35), (-1, 1263, 970, 36), (-1, 1262, 971, 37), (-1, 1261, 972, 39), (-1, 1260, 973, 40), (-1, 1260, 974, 40), (-1, 1259, 975, 40), (-1, 1258, 976, 40), (-1, 1257, 977, 41), (-1, 1257, 978, 40), (-1, 1256, 979, 40), (-1, 1255, 980, 40), (-1, 1254, 981, 41), (-1, 1253, 982, 41), (-1, 1253, 983, 40), (-1, 1252, 984, 40), (-1, 1251, 985, 41), (-1, 1250, 986, 41), (-1, 1250, 987, 40), (-1, 1249, 988, 41), (-1, 1248, 989, 41), (-1, 1247, 990, 42), (-1, 1246, 991, 42), (-1, 1246, 992, 42), (-1, 1245, 993, 42), (-1, 1244, 994, 42), (-1, 1243, 995, 43), (-1, 1243, 996, 42), (-1, 1242, 997, 43), (-1, 1241, 998, 43), (-1, 1240, 999, 43), (-1, 1239, 1000, 44), (-1, 1239, 1001, 43), (-1, 1238, 1002, 44), (-1, 1237, 1003, 44), (-1, 1236, 1004, 45), (-1, 1236, 1005, 44), (-1, 1235, 1006, 45), (-1, 1234, 1007, 46), (-1, 1234, 1008, 46), (-1, 1234, 1009, 46), (-1, 1234, 1010, 46), (-1, 1234, 1011, 46), (-1, 1234, 1012, 46), (-1, 1234, 1013, 46), (-1, 1235, 1014, 45), (-1, 1235, 1015, 45), (-1, 1236, 1016, 44), (-1, 1236, 1017, 44), (-1, 1237, 1018, 43), (-1, 1237, 1019, 43), (-1, 1238, 1020, 42), (-1, 1238, 1021, 42), (-1, 1239, 1022, 41), (-1, 1239, 1023, 41), (-1, 1239, 1024, 41), (-1, 1240, 1025, 40), (-1, 1240, 1026, 40), (-1, 1240, 1027, 40), (-1, 1241, 1028, 39), (-1, 1241, 1029, 39), (-1, 1241, 1030, 39), (-1, 1242, 1031, 38), (-1, 1242, 1032, 35), (-1, 1243, 1033, 30), (-1, 1244, 1034, 24), (-1, 1244, 1035, 20), (-1, 1245, 1036, 17), (-1, 1246, 1037, 15), (-1, 1247, 1038, 14), (-1, 1247, 1039, 14), (-1, 1248, 1040, 12), (-1, 1249, 1041, 11), (-1, 1251, 1042, 8), (-1, 1252, 1043, 7), (-1, 1254, 1044, 5), (-1, 1255, 1045, 3), (-1, 1257, 1046, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 832, 'x1': 907, 'y0': 1787, 'y1': 1847, 'score': 1.0, 'id': None, 'points': ['841,1847,907,1796,901,1787,864,1811,855,1802,841,1806,832,1812,837,1830'], 'sub_photo_id': 0, 'rles': [(-1, 901, 1787, 1), (-1, 899, 1788, 4), (-1, 898, 1789, 5), (-1, 896, 1790, 8), (-1, 895, 1791, 10), (-1, 893, 1792, 12), (-1, 891, 1793, 15), (-1, 890, 1794, 17), (-1, 888, 1795, 19), (-1, 887, 1796, 21), (-1, 885, 1797, 22), (-1, 884, 1798, 22), (-1, 882, 1799, 22), (-1, 881, 1800, 22), (-1, 879, 1801, 23), (-1, 854, 1802, 2), (-1, 878, 1802, 22), (-1, 850, 1803, 7), (-1, 876, 1803, 23), (-1, 847, 1804, 11), (-1, 875, 1804, 23), (-1, 843, 1805, 16), (-1, 873, 1805, 24), (-1, 841, 1806, 19), (-1, 871, 1806, 24), (-1, 839, 1807, 22), (-1, 870, 1807, 24), (-1, 838, 1808, 24), (-1, 868, 1808, 25), (-1, 836, 1809, 27), (-1, 867, 1809, 24), (-1, 835, 1810, 29), (-1, 865, 1810, 25), (-1, 833, 1811, 56), (-1, 832, 1812, 55), (-1, 832, 1813, 54), (-1, 833, 1814, 52), (-1, 833, 1815, 51), (-1, 833, 1816, 49), (-1, 833, 1817, 48), (-1, 834, 1818, 46), (-1, 834, 1819, 44), (-1, 834, 1820, 43), (-1, 835, 1821, 41), (-1, 835, 1822, 40), (-1, 835, 1823, 38), (-1, 835, 1824, 37), (-1, 836, 1825, 35), (-1, 836, 1826, 33), (-1, 836, 1827, 32), (-1, 836, 1828, 31), (-1, 837, 1829, 28), (-1, 837, 1830, 27), (-1, 837, 1831, 26), (-1, 837, 1832, 25), (-1, 838, 1833, 22), (-1, 838, 1834, 21), (-1, 838, 1835, 20), (-1, 838, 1836, 18), (-1, 839, 1837, 16), (-1, 839, 1838, 15), (-1, 839, 1839, 14), (-1, 839, 1840, 12), (-1, 840, 1841, 10), (-1, 840, 1842, 9), (-1, 840, 1843, 7), (-1, 840, 1844, 6), (-1, 841, 1845, 4), (-1, 841, 1846, 2), (-1, 841, 1847, 1)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1003369118 of 180 degree
temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ab20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38af70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38aeb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ae80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a9d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7658e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659a0>] 180
 remove_crop_border : False
version de PIL : 9.5.0
[[-1.0000000e+00  1.2246468e-16]
 [-1.2246468e-16 -1.0000000e+00]]
180
[[-1.0000000e+00  1.2246468e-16]
 [-1.2246468e-16 -1.0000000e+00]]
 shrink_image : False
 len(list_crops) : 16
time for calcul the mask position with numpy : 0.012725591659545898
nb_pixel_total : 110633
time to create 1 rle with old method : 0.1370251178741455
.time for calcul the mask position with numpy : 0.008742570877075195
nb_pixel_total : 15826
time to create 1 rle with old method : 0.017467260360717773
.time for calcul the mask position with numpy : 0.008942604064941406
nb_pixel_total : 5286
time to create 1 rle with old method : 0.0060312747955322266
.time for calcul the mask position with numpy : 0.008606195449829102
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0018053054809570312
.time for calcul the mask position with numpy : 0.009308099746704102
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11498045921325684
.time for calcul the mask position with numpy : 0.009165525436401367
nb_pixel_total : 4393
time to create 1 rle with old method : 0.004712104797363281
.time for calcul the mask position with numpy : 0.008966445922851562
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007688999176025391
.time for calcul the mask position with numpy : 0.010227203369140625
nb_pixel_total : 62627
time to create 1 rle with old method : 0.07838129997253418
.time for calcul the mask position with numpy : 0.009557723999023438
nb_pixel_total : 33681
time to create 1 rle with old method : 0.0400238037109375
.time for calcul the mask position with numpy : 0.009176492691040039
nb_pixel_total : 37724
time to create 1 rle with old method : 0.043206214904785156
.time for calcul the mask position with numpy : 0.009232282638549805
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05428481101989746
.time for calcul the mask position with numpy : 0.04278373718261719
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.333953857421875
.time for calcul the mask position with numpy : 0.008614778518676758
nb_pixel_total : 2310
time to create 1 rle with old method : 0.002656698226928711
.time for calcul the mask position with numpy : 0.009350061416625977
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0026884078979492188
.time for calcul the mask position with numpy : 0.009877204895019531
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0033898353576660156
.time for calcul the mask position with numpy : 0.008643388748168945
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0018928050994873047
.len(list_crops_rotate) : 16
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1584, 'x1': 2158, 'y0': 0, 'y1': 400, 'score': 1.0, 'id': None, 'points': ['2157,400,2061,330,1979,256,1913,208,1884,234,1821,193,1848,159,1845,150,1581,-2,2159,0'], 'sub_photo_id': 0, 'rles': [(-1, 1584, 0, 575), (-1, 1585, 1, 574), (-1, 1587, 2, 572), (-1, 1589, 3, 570), (-1, 1591, 4, 568), (-1, 1592, 5, 567), (-1, 1594, 6, 565), (-1, 1596, 7, 563), (-1, 1598, 8, 561), (-1, 1599, 9, 560), (-1, 1601, 10, 558), (-1, 1603, 11, 556), (-1, 1605, 12, 554), (-1, 1606, 13, 553), (-1, 1608, 14, 551), (-1, 1610, 15, 549), (-1, 1611, 16, 548), (-1, 1613, 17, 546), (-1, 1615, 18, 544), (-1, 1617, 19, 542), (-1, 1618, 20, 541), (-1, 1620, 21, 539), (-1, 1622, 22, 537), (-1, 1624, 23, 535), (-1, 1625, 24, 534), (-1, 1627, 25, 532), (-1, 1629, 26, 530), (-1, 1631, 27, 528), (-1, 1632, 28, 527), (-1, 1634, 29, 525), (-1, 1636, 30, 523), (-1, 1638, 31, 521), (-1, 1639, 32, 520), (-1, 1641, 33, 518), (-1, 1643, 34, 516), (-1, 1645, 35, 514), (-1, 1646, 36, 513), (-1, 1648, 37, 511), (-1, 1650, 38, 509), (-1, 1651, 39, 508), (-1, 1653, 40, 506), (-1, 1655, 41, 504), (-1, 1657, 42, 502), (-1, 1658, 43, 501), (-1, 1660, 44, 499), (-1, 1662, 45, 497), (-1, 1664, 46, 495), (-1, 1665, 47, 494), (-1, 1667, 48, 492), (-1, 1669, 49, 490), (-1, 1671, 50, 488), (-1, 1672, 51, 487), (-1, 1674, 52, 485), (-1, 1676, 53, 483), (-1, 1678, 54, 481), (-1, 1679, 55, 480), (-1, 1681, 56, 478), (-1, 1683, 57, 476), (-1, 1685, 58, 474), (-1, 1686, 59, 473), (-1, 1688, 60, 471), (-1, 1690, 61, 469), (-1, 1692, 62, 467), (-1, 1693, 63, 466), (-1, 1695, 64, 464), (-1, 1697, 65, 462), (-1, 1698, 66, 461), (-1, 1700, 67, 459), (-1, 1702, 68, 457), (-1, 1704, 69, 455), (-1, 1705, 70, 454), (-1, 1707, 71, 452), (-1, 1709, 72, 450), (-1, 1711, 73, 448), (-1, 1712, 74, 447), (-1, 1714, 75, 445), (-1, 1716, 76, 443), (-1, 1718, 77, 441), (-1, 1719, 78, 440), (-1, 1721, 79, 438), (-1, 1723, 80, 436), (-1, 1725, 81, 434), (-1, 1726, 82, 433), (-1, 1728, 83, 431), (-1, 1730, 84, 429), (-1, 1732, 85, 427), (-1, 1733, 86, 426), (-1, 1735, 87, 424), (-1, 1737, 88, 422), (-1, 1738, 89, 421), (-1, 1740, 90, 419), (-1, 1742, 91, 417), (-1, 1744, 92, 415), (-1, 1745, 93, 414), (-1, 1747, 94, 412), (-1, 1749, 95, 410), (-1, 1751, 96, 408), (-1, 1752, 97, 407), (-1, 1754, 98, 405), (-1, 1756, 99, 403), (-1, 1758, 100, 401), (-1, 1759, 101, 400), (-1, 1761, 102, 398), (-1, 1763, 103, 396), (-1, 1765, 104, 394), (-1, 1766, 105, 393), (-1, 1768, 106, 391), (-1, 1770, 107, 389), (-1, 1772, 108, 387), (-1, 1773, 109, 386), (-1, 1775, 110, 384), (-1, 1777, 111, 382), (-1, 1779, 112, 380), (-1, 1780, 113, 379), (-1, 1782, 114, 377), (-1, 1784, 115, 375), (-1, 1785, 116, 374), (-1, 1787, 117, 372), (-1, 1789, 118, 370), (-1, 1791, 119, 368), (-1, 1792, 120, 367), (-1, 1794, 121, 365), (-1, 1796, 122, 363), (-1, 1798, 123, 361), (-1, 1799, 124, 360), (-1, 1801, 125, 358), (-1, 1803, 126, 356), (-1, 1805, 127, 354), (-1, 1806, 128, 353), (-1, 1808, 129, 351), (-1, 1810, 130, 349), (-1, 1812, 131, 347), (-1, 1813, 132, 346), (-1, 1815, 133, 344), (-1, 1817, 134, 342), (-1, 1819, 135, 340), (-1, 1820, 136, 339), (-1, 1822, 137, 337), (-1, 1824, 138, 335), (-1, 1825, 139, 334), (-1, 1827, 140, 332), (-1, 1829, 141, 330), (-1, 1831, 142, 328), (-1, 1832, 143, 327), (-1, 1834, 144, 325), (-1, 1836, 145, 323), (-1, 1838, 146, 321), (-1, 1839, 147, 320), (-1, 1841, 148, 318), (-1, 1843, 149, 316), (-1, 1845, 150, 314), (-1, 1845, 151, 314), (-1, 1846, 152, 313), (-1, 1846, 153, 313), (-1, 1846, 154, 313), (-1, 1847, 155, 312), (-1, 1847, 156, 312), (-1, 1847, 157, 312), (-1, 1848, 158, 311), (-1, 1848, 159, 311), (-1, 1847, 160, 312), (-1, 1846, 161, 313), (-1, 1846, 162, 313), (-1, 1845, 163, 314), (-1, 1844, 164, 315), (-1, 1843, 165, 316), (-1, 1842, 166, 317), (-1, 1842, 167, 317), (-1, 1841, 168, 318), (-1, 1840, 169, 319), (-1, 1839, 170, 320), (-1, 1838, 171, 321), (-1, 1838, 172, 321), (-1, 1837, 173, 322), (-1, 1836, 174, 323), (-1, 1835, 175, 324), (-1, 1835, 176, 324), (-1, 1834, 177, 325), (-1, 1833, 178, 326), (-1, 1832, 179, 327), (-1, 1831, 180, 328), (-1, 1831, 181, 328), (-1, 1830, 182, 329), (-1, 1829, 183, 330), (-1, 1828, 184, 331), (-1, 1827, 185, 332), (-1, 1827, 186, 332), (-1, 1826, 187, 333), (-1, 1825, 188, 334), (-1, 1824, 189, 335), (-1, 1823, 190, 336), (-1, 1823, 191, 336), (-1, 1822, 192, 337), (-1, 1821, 193, 338), (-1, 1822, 194, 337), (-1, 1824, 195, 335), (-1, 1825, 196, 334), (-1, 1827, 197, 332), (-1, 1828, 198, 331), (-1, 1830, 199, 329), (-1, 1831, 200, 328), (-1, 1833, 201, 326), (-1, 1835, 202, 324), (-1, 1836, 203, 323), (-1, 1838, 204, 321), (-1, 1839, 205, 320), (-1, 1841, 206, 318), (-1, 1842, 207, 317), (-1, 1844, 208, 315), (-1, 1845, 209, 68), (-1, 1914, 209, 245), (-1, 1847, 210, 65), (-1, 1916, 210, 243), (-1, 1848, 211, 63), (-1, 1917, 211, 242), (-1, 1850, 212, 60), (-1, 1918, 212, 241), (-1, 1851, 213, 57), (-1, 1920, 213, 239), (-1, 1853, 214, 54), (-1, 1921, 214, 238), (-1, 1855, 215, 51), (-1, 1922, 215, 237), (-1, 1856, 216, 49), (-1, 1924, 216, 235), (-1, 1858, 217, 46), (-1, 1925, 217, 234), (-1, 1859, 218, 44), (-1, 1927, 218, 232), (-1, 1861, 219, 41), (-1, 1928, 219, 231), (-1, 1862, 220, 39), (-1, 1929, 220, 230), (-1, 1864, 221, 36), (-1, 1931, 221, 228), (-1, 1865, 222, 33), (-1, 1932, 222, 227), (-1, 1867, 223, 30), (-1, 1933, 223, 226), (-1, 1868, 224, 28), (-1, 1935, 224, 224), (-1, 1870, 225, 25), (-1, 1936, 225, 223), (-1, 1871, 226, 23), (-1, 1938, 226, 221), (-1, 1873, 227, 20), (-1, 1939, 227, 220), (-1, 1875, 228, 17), (-1, 1940, 228, 219), (-1, 1876, 229, 15), (-1, 1942, 229, 217), (-1, 1878, 230, 12), (-1, 1943, 230, 216), (-1, 1879, 231, 9), (-1, 1944, 231, 215), (-1, 1881, 232, 6), (-1, 1946, 232, 213), (-1, 1882, 233, 4), (-1, 1947, 233, 212), (-1, 1884, 234, 1), (-1, 1949, 234, 210), (-1, 1950, 235, 209), (-1, 1951, 236, 208), (-1, 1953, 237, 206), (-1, 1954, 238, 205), (-1, 1955, 239, 204), (-1, 1957, 240, 202), (-1, 1958, 241, 201), (-1, 1960, 242, 199), (-1, 1961, 243, 198), (-1, 1962, 244, 197), (-1, 1964, 245, 195), (-1, 1965, 246, 194), (-1, 1966, 247, 193), (-1, 1968, 248, 191), (-1, 1969, 249, 190), (-1, 1971, 250, 188), (-1, 1972, 251, 187), (-1, 1973, 252, 186), (-1, 1975, 253, 184), (-1, 1976, 254, 183), (-1, 1977, 255, 182), (-1, 1979, 256, 180), (-1, 1980, 257, 179), (-1, 1981, 258, 178), (-1, 1982, 259, 177), (-1, 1983, 260, 176), (-1, 1984, 261, 175), (-1, 1986, 262, 173), (-1, 1987, 263, 172), (-1, 1988, 264, 171), (-1, 1989, 265, 170), (-1, 1990, 266, 169), (-1, 1991, 267, 168), (-1, 1992, 268, 167), (-1, 1993, 269, 166), (-1, 1994, 270, 165), (-1, 1996, 271, 163), (-1, 1997, 272, 162), (-1, 1998, 273, 161), (-1, 1999, 274, 160), (-1, 2000, 275, 159), (-1, 2001, 276, 158), (-1, 2002, 277, 157), (-1, 2003, 278, 156), (-1, 2004, 279, 155), (-1, 2006, 280, 153), (-1, 2007, 281, 152), (-1, 2008, 282, 151), (-1, 2009, 283, 150), (-1, 2010, 284, 149), (-1, 2011, 285, 148), (-1, 2012, 286, 147), (-1, 2013, 287, 146), (-1, 2014, 288, 145), (-1, 2016, 289, 143), (-1, 2017, 290, 142), (-1, 2018, 291, 141), (-1, 2019, 292, 140), (-1, 2020, 293, 139), (-1, 2021, 294, 138), (-1, 2022, 295, 137), (-1, 2023, 296, 136), (-1, 2024, 297, 135), (-1, 2025, 298, 134), (-1, 2027, 299, 132), (-1, 2028, 300, 131), (-1, 2029, 301, 129), (-1, 2030, 302, 128), (-1, 2031, 303, 127), (-1, 2032, 304, 126), (-1, 2033, 305, 125), (-1, 2034, 306, 124), (-1, 2035, 307, 123), (-1, 2037, 308, 121), (-1, 2038, 309, 120), (-1, 2039, 310, 119), (-1, 2040, 311, 118), (-1, 2041, 312, 117), (-1, 2042, 313, 116), (-1, 2043, 314, 115), (-1, 2044, 315, 114), (-1, 2045, 316, 113), (-1, 2047, 317, 111), (-1, 2048, 318, 110), (-1, 2049, 319, 109), (-1, 2050, 320, 108), (-1, 2051, 321, 107), (-1, 2052, 322, 106), (-1, 2053, 323, 105), (-1, 2054, 324, 104), (-1, 2055, 325, 103), (-1, 2057, 326, 101), (-1, 2058, 327, 100), (-1, 2059, 328, 99), (-1, 2060, 329, 98), (-1, 2061, 330, 97), (-1, 2062, 331, 96), (-1, 2064, 332, 94), (-1, 2065, 333, 93), (-1, 2066, 334, 92), (-1, 2068, 335, 90), (-1, 2069, 336, 89), (-1, 2070, 337, 88), (-1, 2072, 338, 86), (-1, 2073, 339, 85), (-1, 2075, 340, 83), (-1, 2076, 341, 82), (-1, 2077, 342, 81), (-1, 2079, 343, 79), (-1, 2080, 344, 78), (-1, 2081, 345, 77), (-1, 2083, 346, 75), (-1, 2084, 347, 74), (-1, 2085, 348, 73), (-1, 2087, 349, 71), (-1, 2088, 350, 70), (-1, 2090, 351, 68), (-1, 2091, 352, 67), (-1, 2092, 353, 66), (-1, 2094, 354, 64), (-1, 2095, 355, 63), (-1, 2096, 356, 62), (-1, 2098, 357, 60), (-1, 2099, 358, 59), (-1, 2101, 359, 57), (-1, 2102, 360, 56), (-1, 2103, 361, 55), (-1, 2105, 362, 53), (-1, 2106, 363, 52), (-1, 2107, 364, 51), (-1, 2109, 365, 49), (-1, 2110, 366, 48), (-1, 2112, 367, 46), (-1, 2113, 368, 45), (-1, 2114, 369, 44), (-1, 2116, 370, 42), (-1, 2117, 371, 41), (-1, 2118, 372, 40), (-1, 2120, 373, 38), (-1, 2121, 374, 37), (-1, 2123, 375, 35), (-1, 2124, 376, 34), (-1, 2125, 377, 33), (-1, 2127, 378, 31), (-1, 2128, 379, 30), (-1, 2129, 380, 29), (-1, 2131, 381, 27), (-1, 2132, 382, 26), (-1, 2133, 383, 25), (-1, 2135, 384, 23), (-1, 2136, 385, 22), (-1, 2138, 386, 20), (-1, 2139, 387, 19), (-1, 2140, 388, 18), (-1, 2142, 389, 16), (-1, 2143, 390, 15), (-1, 2144, 391, 14), (-1, 2146, 392, 12), (-1, 2147, 393, 11), (-1, 2149, 394, 9), (-1, 2150, 395, 8), (-1, 2151, 396, 7), (-1, 2153, 397, 5), (-1, 2154, 398, 4), (-1, 2155, 399, 3), (-1, 2157, 400, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1979, 'x1': 2085, 'y0': 831, 'y1': 1071, 'score': 1.0, 'id': None, 'points': ['2085,873,2027,838,1985,831,1979,840,1979,864,1983,892,1992,913,2025,1066,2052,1071'], 'sub_photo_id': 0, 'rles': [(-1, 1985, 831, 3), (-1, 1984, 832, 10), (-1, 1984, 833, 16), (-1, 1983, 834, 23), (-1, 1982, 835, 30), (-1, 1982, 836, 36), (-1, 1981, 837, 43), (-1, 1980, 838, 48), (-1, 1980, 839, 50), (-1, 1979, 840, 53), (-1, 1979, 841, 54), (-1, 1979, 842, 56), (-1, 1979, 843, 58), (-1, 1979, 844, 59), (-1, 1979, 845, 61), (-1, 1979, 846, 63), (-1, 1979, 847, 64), (-1, 1979, 848, 66), (-1, 1979, 849, 68), (-1, 1979, 850, 69), (-1, 1979, 851, 71), (-1, 1979, 852, 73), (-1, 1979, 853, 74), (-1, 1979, 854, 76), (-1, 1979, 855, 77), (-1, 1979, 856, 79), (-1, 1979, 857, 81), (-1, 1979, 858, 82), (-1, 1979, 859, 84), (-1, 1979, 860, 86), (-1, 1979, 861, 87), (-1, 1979, 862, 89), (-1, 1979, 863, 91), (-1, 1979, 864, 92), (-1, 1979, 865, 94), (-1, 1979, 866, 96), (-1, 1979, 867, 97), (-1, 1980, 868, 98), (-1, 1980, 869, 100), (-1, 1980, 870, 101), (-1, 1980, 871, 103), (-1, 1980, 872, 105), (-1, 1980, 873, 106), (-1, 1980, 874, 106), (-1, 1981, 875, 105), (-1, 1981, 876, 105), (-1, 1981, 877, 104), (-1, 1981, 878, 104), (-1, 1981, 879, 104), (-1, 1981, 880, 104), (-1, 1981, 881, 104), (-1, 1982, 882, 103), (-1, 1982, 883, 102), (-1, 1982, 884, 102), (-1, 1982, 885, 102), (-1, 1982, 886, 102), (-1, 1982, 887, 102), (-1, 1982, 888, 102), (-1, 1983, 889, 100), (-1, 1983, 890, 100), (-1, 1983, 891, 100), (-1, 1983, 892, 100), (-1, 1983, 893, 100), (-1, 1984, 894, 99), (-1, 1984, 895, 98), (-1, 1985, 896, 97), (-1, 1985, 897, 97), (-1, 1986, 898, 96), (-1, 1986, 899, 96), (-1, 1986, 900, 96), (-1, 1987, 901, 94), (-1, 1987, 902, 94), (-1, 1988, 903, 93), (-1, 1988, 904, 93), (-1, 1989, 905, 92), (-1, 1989, 906, 92), (-1, 1989, 907, 91), (-1, 1990, 908, 90), (-1, 1990, 909, 90), (-1, 1991, 910, 89), (-1, 1991, 911, 89), (-1, 1992, 912, 88), (-1, 1992, 913, 87), (-1, 1992, 914, 87), (-1, 1992, 915, 87), (-1, 1993, 916, 86), (-1, 1993, 917, 86), (-1, 1993, 918, 86), (-1, 1993, 919, 85), (-1, 1994, 920, 84), (-1, 1994, 921, 84), (-1, 1994, 922, 84), (-1, 1994, 923, 84), (-1, 1994, 924, 84), (-1, 1995, 925, 82), (-1, 1995, 926, 82), (-1, 1995, 927, 82), (-1, 1995, 928, 82), (-1, 1995, 929, 82), (-1, 1996, 930, 81), (-1, 1996, 931, 80), (-1, 1996, 932, 80), (-1, 1996, 933, 80), (-1, 1997, 934, 79), (-1, 1997, 935, 79), (-1, 1997, 936, 79), (-1, 1997, 937, 78), (-1, 1997, 938, 78), (-1, 1998, 939, 77), (-1, 1998, 940, 77), (-1, 1998, 941, 77), (-1, 1998, 942, 77), (-1, 1998, 943, 76), (-1, 1999, 944, 75), (-1, 1999, 945, 75), (-1, 1999, 946, 75), (-1, 1999, 947, 75), (-1, 2000, 948, 74), (-1, 2000, 949, 73), (-1, 2000, 950, 73), (-1, 2000, 951, 73), (-1, 2000, 952, 73), (-1, 2001, 953, 72), (-1, 2001, 954, 72), (-1, 2001, 955, 71), (-1, 2001, 956, 71), (-1, 2001, 957, 71), (-1, 2002, 958, 70), (-1, 2002, 959, 70), (-1, 2002, 960, 70), (-1, 2002, 961, 69), (-1, 2003, 962, 68), (-1, 2003, 963, 68), (-1, 2003, 964, 68), (-1, 2003, 965, 68), (-1, 2003, 966, 68), (-1, 2004, 967, 66), (-1, 2004, 968, 66), (-1, 2004, 969, 66), (-1, 2004, 970, 66), (-1, 2005, 971, 65), (-1, 2005, 972, 65), (-1, 2005, 973, 64), (-1, 2005, 974, 64), (-1, 2005, 975, 64), (-1, 2006, 976, 63), (-1, 2006, 977, 63), (-1, 2006, 978, 63), (-1, 2006, 979, 62), (-1, 2006, 980, 62), (-1, 2007, 981, 61), (-1, 2007, 982, 61), (-1, 2007, 983, 61), (-1, 2007, 984, 61), (-1, 2008, 985, 59), (-1, 2008, 986, 59), (-1, 2008, 987, 59), (-1, 2008, 988, 59), (-1, 2008, 989, 59), (-1, 2009, 990, 58), (-1, 2009, 991, 57), (-1, 2009, 992, 57), (-1, 2009, 993, 57), (-1, 2009, 994, 57), (-1, 2010, 995, 56), (-1, 2010, 996, 56), (-1, 2010, 997, 55), (-1, 2010, 998, 55), (-1, 2011, 999, 54), (-1, 2011, 1000, 54), (-1, 2011, 1001, 54), (-1, 2011, 1002, 54), (-1, 2011, 1003, 53), (-1, 2012, 1004, 52), (-1, 2012, 1005, 52), (-1, 2012, 1006, 52), (-1, 2012, 1007, 52), (-1, 2012, 1008, 52), (-1, 2013, 1009, 50), (-1, 2013, 1010, 50), (-1, 2013, 1011, 50), (-1, 2013, 1012, 50), (-1, 2014, 1013, 49), (-1, 2014, 1014, 49), (-1, 2014, 1015, 48), (-1, 2014, 1016, 48), (-1, 2014, 1017, 48), (-1, 2015, 1018, 47), (-1, 2015, 1019, 47), (-1, 2015, 1020, 47), (-1, 2015, 1021, 46), (-1, 2016, 1022, 45), (-1, 2016, 1023, 45), (-1, 2016, 1024, 45), (-1, 2016, 1025, 45), (-1, 2016, 1026, 45), (-1, 2017, 1027, 43), (-1, 2017, 1028, 43), (-1, 2017, 1029, 43), (-1, 2017, 1030, 43), (-1, 2017, 1031, 43), (-1, 2018, 1032, 42), (-1, 2018, 1033, 41), (-1, 2018, 1034, 41), (-1, 2018, 1035, 41), (-1, 2019, 1036, 40), (-1, 2019, 1037, 40), (-1, 2019, 1038, 40), (-1, 2019, 1039, 39), (-1, 2019, 1040, 39), (-1, 2020, 1041, 38), (-1, 2020, 1042, 38), (-1, 2020, 1043, 38), (-1, 2020, 1044, 38), (-1, 2020, 1045, 37), (-1, 2021, 1046, 36), (-1, 2021, 1047, 36), (-1, 2021, 1048, 36), (-1, 2021, 1049, 36), (-1, 2022, 1050, 35), (-1, 2022, 1051, 34), (-1, 2022, 1052, 34), (-1, 2022, 1053, 34), (-1, 2022, 1054, 34), (-1, 2023, 1055, 33), (-1, 2023, 1056, 33), (-1, 2023, 1057, 32), (-1, 2023, 1058, 32), (-1, 2023, 1059, 32), (-1, 2024, 1060, 31), (-1, 2024, 1061, 31), (-1, 2024, 1062, 31), (-1, 2024, 1063, 30), (-1, 2025, 1064, 29), (-1, 2025, 1065, 29), (-1, 2025, 1066, 29), (-1, 2028, 1067, 26), (-1, 2034, 1068, 20), (-1, 2039, 1069, 14), (-1, 2044, 1070, 9), (-1, 2050, 1071, 3)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1544, 'x1': 1761, 'y0': 945, 'y1': 1021, 'score': 1.0, 'id': None, 'points': ['1761,945,1674,966,1649,972,1626,972,1544,975,1584,996,1596,1017,1605,1021,1653,1002,1638,994,1643,987,1664,999,1683,990,1706,981'], 'sub_photo_id': 0, 'rles': [(-1, 1759, 945, 3), (-1, 1755, 946, 6), (-1, 1751, 947, 8), (-1, 1747, 948, 11), (-1, 1743, 949, 13), (-1, 1739, 950, 16), (-1, 1735, 951, 18), (-1, 1730, 952, 22), (-1, 1726, 953, 24), (-1, 1722, 954, 27), (-1, 1718, 955, 29), (-1, 1714, 956, 31), (-1, 1710, 957, 34), (-1, 1706, 958, 36), (-1, 1701, 959, 40), (-1, 1697, 960, 42), (-1, 1693, 961, 45), (-1, 1689, 962, 47), (-1, 1685, 963, 50), (-1, 1681, 964, 52), (-1, 1677, 965, 55), (-1, 1672, 966, 58), (-1, 1668, 967, 61), (-1, 1664, 968, 63), (-1, 1660, 969, 66), (-1, 1656, 970, 68), (-1, 1652, 971, 71), (-1, 1613, 972, 108), (-1, 1585, 973, 134), (-1, 1558, 974, 160), (-1, 1544, 975, 172), (-1, 1545, 976, 170), (-1, 1547, 977, 166), (-1, 1549, 978, 163), (-1, 1551, 979, 159), (-1, 1553, 980, 156), (-1, 1555, 981, 152), (-1, 1557, 982, 148), (-1, 1559, 983, 144), (-1, 1561, 984, 139), (-1, 1563, 985, 135), (-1, 1564, 986, 131), (-1, 1566, 987, 126), (-1, 1568, 988, 75), (-1, 1644, 988, 46), (-1, 1570, 989, 73), (-1, 1646, 989, 41), (-1, 1572, 990, 70), (-1, 1648, 990, 37), (-1, 1574, 991, 67), (-1, 1650, 991, 32), (-1, 1576, 992, 64), (-1, 1651, 992, 29), (-1, 1578, 993, 62), (-1, 1653, 993, 25), (-1, 1580, 994, 59), (-1, 1655, 994, 21), (-1, 1582, 995, 59), (-1, 1657, 995, 17), (-1, 1584, 996, 59), (-1, 1658, 996, 14), (-1, 1585, 997, 60), (-1, 1660, 997, 10), (-1, 1585, 998, 62), (-1, 1662, 998, 6), (-1, 1586, 999, 63), (-1, 1664, 999, 2), (-1, 1586, 1000, 65), (-1, 1587, 1001, 66), (-1, 1587, 1002, 67), (-1, 1588, 1003, 64), (-1, 1589, 1004, 61), (-1, 1589, 1005, 58), (-1, 1590, 1006, 55), (-1, 1590, 1007, 52), (-1, 1591, 1008, 49), (-1, 1591, 1009, 46), (-1, 1592, 1010, 43), (-1, 1593, 1011, 39), (-1, 1593, 1012, 36), (-1, 1594, 1013, 33), (-1, 1594, 1014, 30), (-1, 1595, 1015, 27), (-1, 1595, 1016, 24), (-1, 1596, 1017, 21), (-1, 1598, 1018, 16), (-1, 1600, 1019, 12), (-1, 1602, 1020, 7), (-1, 1604, 1021, 3)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1673, 'x1': 1736, 'y0': 357, 'y1': 406, 'score': 1.0, 'id': None, 'points': ['1736,394,1716,382,1688,357,1673,382,1686,400,1728,406'], 'sub_photo_id': 0, 'rles': [(-1, 1688, 357, 1), (-1, 1687, 358, 3), (-1, 1687, 359, 4), (-1, 1686, 360, 6), (-1, 1686, 361, 8), (-1, 1685, 362, 10), (-1, 1684, 363, 12), (-1, 1684, 364, 13), (-1, 1683, 365, 15), (-1, 1683, 366, 16), (-1, 1682, 367, 18), (-1, 1681, 368, 20), (-1, 1681, 369, 21), (-1, 1680, 370, 24), (-1, 1680, 371, 25), (-1, 1679, 372, 27), (-1, 1678, 373, 29), (-1, 1678, 374, 30), (-1, 1677, 375, 32), (-1, 1677, 376, 33), (-1, 1676, 377, 35), (-1, 1675, 378, 38), (-1, 1675, 379, 39), (-1, 1674, 380, 41), (-1, 1674, 381, 42), (-1, 1673, 382, 44), (-1, 1674, 383, 45), (-1, 1674, 384, 47), (-1, 1675, 385, 47), (-1, 1676, 386, 48), (-1, 1677, 387, 49), (-1, 1677, 388, 50), (-1, 1678, 389, 51), (-1, 1679, 390, 52), (-1, 1680, 391, 52), (-1, 1680, 392, 54), (-1, 1681, 393, 55), (-1, 1682, 394, 55), (-1, 1682, 395, 54), (-1, 1683, 396, 53), (-1, 1684, 397, 51), (-1, 1685, 398, 49), (-1, 1685, 399, 49), (-1, 1686, 400, 47), (-1, 1690, 401, 42), (-1, 1697, 402, 35), (-1, 1704, 403, 27), (-1, 1711, 404, 19), (-1, 1718, 405, 12), (-1, 1725, 406, 4)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1505, 'x1': 2157, 'y0': 1126, 'y1': 1438, 'score': 1.0, 'id': None, 'points': ['2156,1159,2135,1161,2087,1155,2066,1147,2055,1143,2042,1126,2060,1234,2042,1257,1947,1308,1862,1335,1752,1368,1748,1362,1637,1147,1622,1164,1595,1204,1592,1233,1586,1257,1572,1282,1512,1374,1505,1390,1629,1426,1628,1438,2157,1437'], 'sub_photo_id': 0, 'rles': [(-1, 2042, 1126, 1), (-1, 2042, 1127, 2), (-1, 2042, 1128, 3), (-1, 2043, 1129, 2), (-1, 2043, 1130, 3), (-1, 2043, 1131, 4), (-1, 2043, 1132, 5), (-1, 2043, 1133, 5), (-1, 2043, 1134, 6), (-1, 2044, 1135, 6), (-1, 2044, 1136, 7), (-1, 2044, 1137, 7), (-1, 2044, 1138, 8), (-1, 2044, 1139, 9), (-1, 2044, 1140, 10), (-1, 2045, 1141, 9), (-1, 2045, 1142, 10), (-1, 2045, 1143, 12), (-1, 2045, 1144, 15), (-1, 2045, 1145, 17), (-1, 2045, 1146, 20), (-1, 1637, 1147, 1), (-1, 2046, 1147, 22), (-1, 1636, 1148, 3), (-1, 2046, 1148, 24), (-1, 1635, 1149, 4), (-1, 2046, 1149, 27), (-1, 1634, 1150, 6), (-1, 2046, 1150, 30), (-1, 1633, 1151, 7), (-1, 2046, 1151, 32), (-1, 1633, 1152, 8), (-1, 2046, 1152, 35), (-1, 1632, 1153, 9), (-1, 2047, 1153, 37), (-1, 1631, 1154, 11), (-1, 2047, 1154, 39), (-1, 1630, 1155, 12), (-1, 2047, 1155, 44), (-1, 1629, 1156, 14), (-1, 2047, 1156, 52), (-1, 1628, 1157, 15), (-1, 2047, 1157, 60), (-1, 1627, 1158, 17), (-1, 2047, 1158, 68), (-1, 1626, 1159, 18), (-1, 2048, 1159, 75), (-1, 2151, 1159, 6), (-1, 1626, 1160, 19), (-1, 2048, 1160, 83), (-1, 2141, 1160, 16), (-1, 1625, 1161, 20), (-1, 2048, 1161, 109), (-1, 1624, 1162, 22), (-1, 2048, 1162, 109), (-1, 1623, 1163, 23), (-1, 2048, 1163, 109), (-1, 1622, 1164, 25), (-1, 2048, 1164, 109), (-1, 1621, 1165, 26), (-1, 2049, 1165, 108), (-1, 1621, 1166, 27), (-1, 2049, 1166, 108), (-1, 1620, 1167, 28), (-1, 2049, 1167, 108), (-1, 1619, 1168, 30), (-1, 2049, 1168, 108), (-1, 1619, 1169, 30), (-1, 2049, 1169, 108), (-1, 1618, 1170, 32), (-1, 2049, 1170, 108), (-1, 1617, 1171, 33), (-1, 2050, 1171, 107), (-1, 1617, 1172, 34), (-1, 2050, 1172, 107), (-1, 1616, 1173, 35), (-1, 2050, 1173, 107), (-1, 1615, 1174, 37), (-1, 2050, 1174, 107), (-1, 1615, 1175, 37), (-1, 2050, 1175, 107), (-1, 1614, 1176, 39), (-1, 2050, 1176, 107), (-1, 1613, 1177, 40), (-1, 2051, 1177, 106), (-1, 1613, 1178, 41), (-1, 2051, 1178, 106), (-1, 1612, 1179, 43), (-1, 2051, 1179, 106), (-1, 1611, 1180, 44), (-1, 2051, 1180, 106), (-1, 1611, 1181, 45), (-1, 2051, 1181, 106), (-1, 1610, 1182, 46), (-1, 2051, 1182, 106), (-1, 1609, 1183, 48), (-1, 2052, 1183, 105), (-1, 1609, 1184, 48), (-1, 2052, 1184, 105), (-1, 1608, 1185, 50), (-1, 2052, 1185, 105), (-1, 1607, 1186, 51), (-1, 2052, 1186, 105), (-1, 1606, 1187, 53), (-1, 2052, 1187, 105), (-1, 1606, 1188, 53), (-1, 2052, 1188, 105), (-1, 1605, 1189, 55), (-1, 2053, 1189, 104), (-1, 1604, 1190, 56), (-1, 2053, 1190, 104), (-1, 1604, 1191, 57), (-1, 2053, 1191, 104), (-1, 1603, 1192, 58), (-1, 2053, 1192, 104), (-1, 1602, 1193, 60), (-1, 2053, 1193, 104), (-1, 1602, 1194, 60), (-1, 2053, 1194, 104), (-1, 1601, 1195, 62), (-1, 2054, 1195, 103), (-1, 1600, 1196, 63), (-1, 2054, 1196, 103), (-1, 1600, 1197, 64), (-1, 2054, 1197, 103), (-1, 1599, 1198, 65), (-1, 2054, 1198, 103), (-1, 1598, 1199, 67), (-1, 2054, 1199, 103), (-1, 1598, 1200, 67), (-1, 2054, 1200, 103), (-1, 1597, 1201, 69), (-1, 2055, 1201, 102), (-1, 1596, 1202, 70), (-1, 2055, 1202, 102), (-1, 1596, 1203, 71), (-1, 2055, 1203, 102), (-1, 1595, 1204, 72), (-1, 2055, 1204, 102), (-1, 1595, 1205, 73), (-1, 2055, 1205, 102), (-1, 1595, 1206, 73), (-1, 2055, 1206, 102), (-1, 1595, 1207, 74), (-1, 2056, 1207, 101), (-1, 1595, 1208, 74), (-1, 2056, 1208, 101), (-1, 1594, 1209, 76), (-1, 2056, 1209, 101), (-1, 1594, 1210, 77), (-1, 2056, 1210, 101), (-1, 1594, 1211, 77), (-1, 2056, 1211, 101), (-1, 1594, 1212, 78), (-1, 2056, 1212, 101), (-1, 1594, 1213, 78), (-1, 2057, 1213, 100), (-1, 1594, 1214, 79), (-1, 2057, 1214, 100), (-1, 1594, 1215, 79), (-1, 2057, 1215, 100), (-1, 1594, 1216, 80), (-1, 2057, 1216, 100), (-1, 1594, 1217, 80), (-1, 2057, 1217, 100), (-1, 1594, 1218, 81), (-1, 2057, 1218, 100), (-1, 1593, 1219, 82), (-1, 2058, 1219, 99), (-1, 1593, 1220, 83), (-1, 2058, 1220, 99), (-1, 1593, 1221, 83), (-1, 2058, 1221, 99), (-1, 1593, 1222, 84), (-1, 2058, 1222, 99), (-1, 1593, 1223, 84), (-1, 2058, 1223, 99), (-1, 1593, 1224, 85), (-1, 2058, 1224, 99), (-1, 1593, 1225, 85), (-1, 2059, 1225, 98), (-1, 1593, 1226, 86), (-1, 2059, 1226, 98), (-1, 1593, 1227, 86), (-1, 2059, 1227, 98), (-1, 1593, 1228, 87), (-1, 2059, 1228, 98), (-1, 1592, 1229, 88), (-1, 2059, 1229, 98), (-1, 1592, 1230, 89), (-1, 2059, 1230, 98), (-1, 1592, 1231, 89), (-1, 2060, 1231, 97), (-1, 1592, 1232, 90), (-1, 2060, 1232, 97), (-1, 1592, 1233, 90), (-1, 2060, 1233, 97), (-1, 1592, 1234, 91), (-1, 2060, 1234, 97), (-1, 1592, 1235, 91), (-1, 2059, 1235, 98), (-1, 1591, 1236, 93), (-1, 2058, 1236, 99), (-1, 1591, 1237, 93), (-1, 2058, 1237, 99), (-1, 1591, 1238, 94), (-1, 2057, 1238, 100), (-1, 1591, 1239, 94), (-1, 2056, 1239, 101), (-1, 1590, 1240, 96), (-1, 2055, 1240, 102), (-1, 1590, 1241, 97), (-1, 2055, 1241, 102), (-1, 1590, 1242, 97), (-1, 2054, 1242, 103), (-1, 1590, 1243, 98), (-1, 2053, 1243, 104), (-1, 1589, 1244, 99), (-1, 2052, 1244, 105), (-1, 1589, 1245, 100), (-1, 2051, 1245, 106), (-1, 1589, 1246, 100), (-1, 2051, 1246, 106), (-1, 1589, 1247, 101), (-1, 2050, 1247, 107), (-1, 1588, 1248, 102), (-1, 2049, 1248, 108), (-1, 1588, 1249, 103), (-1, 2048, 1249, 109), (-1, 1588, 1250, 103), (-1, 2047, 1250, 110), (-1, 1588, 1251, 104), (-1, 2047, 1251, 110), (-1, 1587, 1252, 105), (-1, 2046, 1252, 111), (-1, 1587, 1253, 106), (-1, 2045, 1253, 112), (-1, 1587, 1254, 106), (-1, 2044, 1254, 113), (-1, 1587, 1255, 107), (-1, 2044, 1255, 113), (-1, 1586, 1256, 108), (-1, 2043, 1256, 114), (-1, 1586, 1257, 109), (-1, 2042, 1257, 115), (-1, 1585, 1258, 110), (-1, 2040, 1258, 117), (-1, 1585, 1259, 111), (-1, 2038, 1259, 119), (-1, 1584, 1260, 112), (-1, 2036, 1260, 121), (-1, 1584, 1261, 113), (-1, 2034, 1261, 123), (-1, 1583, 1262, 114), (-1, 2032, 1262, 125), (-1, 1583, 1263, 115), (-1, 2030, 1263, 127), (-1, 1582, 1264, 116), (-1, 2029, 1264, 128), (-1, 1582, 1265, 117), (-1, 2027, 1265, 130), (-1, 1581, 1266, 118), (-1, 2025, 1266, 132), (-1, 1580, 1267, 120), (-1, 2023, 1267, 134), (-1, 1580, 1268, 120), (-1, 2021, 1268, 136), (-1, 1579, 1269, 122), (-1, 2019, 1269, 138), (-1, 1579, 1270, 123), (-1, 2017, 1270, 140), (-1, 1578, 1271, 124), (-1, 2015, 1271, 142), (-1, 1578, 1272, 125), (-1, 2014, 1272, 143), (-1, 1577, 1273, 126), (-1, 2012, 1273, 145), (-1, 1576, 1274, 128), (-1, 2010, 1274, 147), (-1, 1576, 1275, 128), (-1, 2008, 1275, 149), (-1, 1575, 1276, 130), (-1, 2006, 1276, 151), (-1, 1575, 1277, 130), (-1, 2004, 1277, 153), (-1, 1574, 1278, 132), (-1, 2002, 1278, 155), (-1, 1574, 1279, 132), (-1, 2001, 1279, 156), (-1, 1573, 1280, 134), (-1, 1999, 1280, 158), (-1, 1573, 1281, 134), (-1, 1997, 1281, 160), (-1, 1572, 1282, 136), (-1, 1995, 1282, 162), (-1, 1571, 1283, 137), (-1, 1993, 1283, 164), (-1, 1571, 1284, 138), (-1, 1991, 1284, 166), (-1, 1570, 1285, 139), (-1, 1989, 1285, 168), (-1, 1569, 1286, 141), (-1, 1988, 1286, 169), (-1, 1569, 1287, 141), (-1, 1986, 1287, 171), (-1, 1568, 1288, 143), (-1, 1984, 1288, 173), (-1, 1567, 1289, 144), (-1, 1982, 1289, 175), (-1, 1567, 1290, 145), (-1, 1980, 1290, 177), (-1, 1566, 1291, 146), (-1, 1978, 1291, 179), (-1, 1565, 1292, 148), (-1, 1976, 1292, 181), (-1, 1565, 1293, 148), (-1, 1975, 1293, 182), (-1, 1564, 1294, 150), (-1, 1973, 1294, 184), (-1, 1564, 1295, 150), (-1, 1971, 1295, 186), (-1, 1563, 1296, 152), (-1, 1969, 1296, 188), (-1, 1562, 1297, 153), (-1, 1967, 1297, 190), (-1, 1562, 1298, 154), (-1, 1965, 1298, 193), (-1, 1561, 1299, 155), (-1, 1963, 1299, 195), (-1, 1560, 1300, 157), (-1, 1961, 1300, 197), (-1, 1560, 1301, 158), (-1, 1960, 1301, 198), (-1, 1559, 1302, 159), (-1, 1958, 1302, 200), (-1, 1558, 1303, 161), (-1, 1956, 1303, 202), (-1, 1558, 1304, 161), (-1, 1954, 1304, 204), (-1, 1557, 1305, 163), (-1, 1952, 1305, 206), (-1, 1556, 1306, 164), (-1, 1950, 1306, 208), (-1, 1556, 1307, 165), (-1, 1948, 1307, 210), (-1, 1555, 1308, 166), (-1, 1946, 1308, 212), (-1, 1554, 1309, 168), (-1, 1943, 1309, 215), (-1, 1554, 1310, 168), (-1, 1940, 1310, 218), (-1, 1553, 1311, 170), (-1, 1936, 1311, 222), (-1, 1552, 1312, 171), (-1, 1933, 1312, 225), (-1, 1552, 1313, 172), (-1, 1930, 1313, 228), (-1, 1551, 1314, 173), (-1, 1927, 1314, 231), (-1, 1550, 1315, 175), (-1, 1924, 1315, 234), (-1, 1550, 1316, 175), (-1, 1921, 1316, 237), (-1, 1549, 1317, 177), (-1, 1918, 1317, 240), (-1, 1549, 1318, 177), (-1, 1914, 1318, 244), (-1, 1548, 1319, 179), (-1, 1911, 1319, 247), (-1, 1547, 1320, 180), (-1, 1908, 1320, 250), (-1, 1547, 1321, 181), (-1, 1905, 1321, 253), (-1, 1546, 1322, 182), (-1, 1902, 1322, 256), (-1, 1545, 1323, 184), (-1, 1899, 1323, 259), (-1, 1545, 1324, 184), (-1, 1896, 1324, 262), (-1, 1544, 1325, 186), (-1, 1892, 1325, 266), (-1, 1543, 1326, 187), (-1, 1889, 1326, 269), (-1, 1543, 1327, 188), (-1, 1886, 1327, 272), (-1, 1542, 1328, 189), (-1, 1883, 1328, 275), (-1, 1541, 1329, 191), (-1, 1880, 1329, 278), (-1, 1541, 1330, 191), (-1, 1877, 1330, 281), (-1, 1540, 1331, 193), (-1, 1874, 1331, 284), (-1, 1539, 1332, 195), (-1, 1870, 1332, 288), (-1, 1539, 1333, 195), (-1, 1867, 1333, 291), (-1, 1538, 1334, 197), (-1, 1864, 1334, 294), (-1, 1537, 1335, 198), (-1, 1861, 1335, 297), (-1, 1537, 1336, 199), (-1, 1857, 1336, 301), (-1, 1536, 1337, 200), (-1, 1854, 1337, 304), (-1, 1535, 1338, 202), (-1, 1851, 1338, 307), (-1, 1535, 1339, 202), (-1, 1847, 1339, 311), (-1, 1534, 1340, 204), (-1, 1844, 1340, 314), (-1, 1534, 1341, 204), (-1, 1841, 1341, 317), (-1, 1533, 1342, 206), (-1, 1837, 1342, 321), (-1, 1532, 1343, 207), (-1, 1834, 1343, 324), (-1, 1532, 1344, 208), (-1, 1831, 1344, 327), (-1, 1531, 1345, 209), (-1, 1827, 1345, 331), (-1, 1530, 1346, 211), (-1, 1824, 1346, 334), (-1, 1530, 1347, 211), (-1, 1821, 1347, 337), (-1, 1529, 1348, 213), (-1, 1817, 1348, 341), (-1, 1528, 1349, 214), (-1, 1814, 1349, 344), (-1, 1528, 1350, 215), (-1, 1811, 1350, 347), (-1, 1527, 1351, 216), (-1, 1807, 1351, 351), (-1, 1526, 1352, 218), (-1, 1804, 1352, 354), (-1, 1526, 1353, 218), (-1, 1801, 1353, 357), (-1, 1525, 1354, 220), (-1, 1797, 1354, 361), (-1, 1524, 1355, 221), (-1, 1794, 1355, 364), (-1, 1524, 1356, 222), (-1, 1791, 1356, 367), (-1, 1523, 1357, 223), (-1, 1787, 1357, 371), (-1, 1522, 1358, 225), (-1, 1784, 1358, 374), (-1, 1522, 1359, 225), (-1, 1781, 1359, 377), (-1, 1521, 1360, 227), (-1, 1777, 1360, 381), (-1, 1520, 1361, 228), (-1, 1774, 1361, 384), (-1, 1520, 1362, 229), (-1, 1771, 1362, 387), (-1, 1519, 1363, 231), (-1, 1767, 1363, 391), (-1, 1519, 1364, 231), (-1, 1764, 1364, 394), (-1, 1518, 1365, 233), (-1, 1761, 1365, 397), (-1, 1517, 1366, 235), (-1, 1757, 1366, 401), (-1, 1517, 1367, 235), (-1, 1754, 1367, 404), (-1, 1516, 1368, 642), (-1, 1515, 1369, 643), (-1, 1515, 1370, 643), (-1, 1514, 1371, 644), (-1, 1513, 1372, 645), (-1, 1513, 1373, 645), (-1, 1512, 1374, 646), (-1, 1512, 1375, 646), (-1, 1511, 1376, 647), (-1, 1511, 1377, 647), (-1, 1510, 1378, 648), (-1, 1510, 1379, 648), (-1, 1509, 1380, 649), (-1, 1509, 1381, 649), (-1, 1509, 1382, 649), (-1, 1508, 1383, 650), (-1, 1508, 1384, 650), (-1, 1507, 1385, 651), (-1, 1507, 1386, 651), (-1, 1506, 1387, 652), (-1, 1506, 1388, 652), (-1, 1505, 1389, 653), (-1, 1505, 1390, 653), (-1, 1507, 1391, 651), (-1, 1511, 1392, 647), (-1, 1514, 1393, 644), (-1, 1518, 1394, 640), (-1, 1521, 1395, 637), (-1, 1524, 1396, 634), (-1, 1528, 1397, 630), (-1, 1531, 1398, 627), (-1, 1535, 1399, 623), (-1, 1538, 1400, 620), (-1, 1542, 1401, 616), (-1, 1545, 1402, 613), (-1, 1549, 1403, 609), (-1, 1552, 1404, 606), (-1, 1555, 1405, 603), (-1, 1559, 1406, 599), (-1, 1562, 1407, 596), (-1, 1566, 1408, 592), (-1, 1569, 1409, 589), (-1, 1573, 1410, 585), (-1, 1576, 1411, 582), (-1, 1580, 1412, 578), (-1, 1583, 1413, 575), (-1, 1586, 1414, 572), (-1, 1590, 1415, 568), (-1, 1593, 1416, 565), (-1, 1597, 1417, 561), (-1, 1600, 1418, 558), (-1, 1604, 1419, 554), (-1, 1607, 1420, 551), (-1, 1611, 1421, 547), (-1, 1614, 1422, 544), (-1, 1617, 1423, 541), (-1, 1621, 1424, 537), (-1, 1624, 1425, 534), (-1, 1628, 1426, 530), (-1, 1629, 1427, 529), (-1, 1629, 1428, 529), (-1, 1629, 1429, 529), (-1, 1629, 1430, 529), (-1, 1629, 1431, 529), (-1, 1629, 1432, 529), (-1, 1628, 1433, 530), (-1, 1628, 1434, 530), (-1, 1628, 1435, 530), (-1, 1628, 1436, 530), (-1, 1628, 1437, 530), (-1, 1628, 1438, 265)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1056, 'x1': 1188, 'y0': 28, 'y1': 97, 'score': 1.0, 'id': None, 'points': ['1188,53,1188,41,1173,39,1157,33,1136,32,1125,29,1118,27,1085,56,1065,77,1056,89,1088,96,1118,78,1136,74,1157,60,1169,57'], 'sub_photo_id': 0, 'rles': [(-1, 1118, 28, 2), (-1, 1117, 29, 7), (-1, 1116, 30, 11), (-1, 1115, 31, 16), (-1, 1113, 32, 22), (-1, 1112, 33, 35), (-1, 1111, 34, 48), (-1, 1110, 35, 51), (-1, 1109, 36, 55), (-1, 1108, 37, 59), (-1, 1107, 38, 62), (-1, 1105, 39, 67), (-1, 1104, 40, 73), (-1, 1103, 41, 82), (-1, 1102, 42, 87), (-1, 1101, 43, 88), (-1, 1100, 44, 89), (-1, 1099, 45, 90), (-1, 1097, 46, 92), (-1, 1096, 47, 93), (-1, 1095, 48, 94), (-1, 1094, 49, 95), (-1, 1093, 50, 96), (-1, 1092, 51, 97), (-1, 1091, 52, 98), (-1, 1089, 53, 100), (-1, 1088, 54, 101), (-1, 1087, 55, 99), (-1, 1086, 56, 95), (-1, 1085, 57, 92), (-1, 1084, 58, 88), (-1, 1083, 59, 84), (-1, 1082, 60, 81), (-1, 1081, 61, 78), (-1, 1080, 62, 77), (-1, 1079, 63, 76), (-1, 1078, 64, 76), (-1, 1077, 65, 75), (-1, 1076, 66, 75), (-1, 1075, 67, 74), (-1, 1075, 68, 73), (-1, 1074, 69, 72), (-1, 1073, 70, 72), (-1, 1072, 71, 71), (-1, 1071, 72, 71), (-1, 1070, 73, 70), (-1, 1069, 74, 70), (-1, 1068, 75, 69), (-1, 1067, 76, 67), (-1, 1066, 77, 64), (-1, 1065, 78, 60), (-1, 1064, 79, 57), (-1, 1064, 80, 54), (-1, 1063, 81, 53), (-1, 1062, 82, 52), (-1, 1061, 83, 52), (-1, 1061, 84, 50), (-1, 1060, 85, 49), (-1, 1059, 86, 49), (-1, 1058, 87, 48), (-1, 1058, 88, 46), (-1, 1057, 89, 46), (-1, 1056, 90, 45), (-1, 1059, 91, 40), (-1, 1063, 92, 35), (-1, 1068, 93, 28), (-1, 1072, 94, 22), (-1, 1077, 95, 16), (-1, 1082, 96, 9), (-1, 1086, 97, 3)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 975, 'x1': 1007, 'y0': 112, 'y1': 157, 'score': 1.0, 'id': None, 'points': ['1007,156,992,111,975,137,995,149'], 'sub_photo_id': 0, 'rles': [(-1, 992, 112, 1), (-1, 991, 113, 2), (-1, 991, 114, 3), (-1, 990, 115, 4), (-1, 989, 116, 5), (-1, 989, 117, 6), (-1, 988, 118, 7), (-1, 987, 119, 8), (-1, 987, 120, 9), (-1, 986, 121, 10), (-1, 985, 122, 11), (-1, 985, 123, 12), (-1, 984, 124, 13), (-1, 984, 125, 13), (-1, 983, 126, 15), (-1, 982, 127, 16), (-1, 982, 128, 16), (-1, 981, 129, 18), (-1, 980, 130, 19), (-1, 980, 131, 19), (-1, 979, 132, 21), (-1, 978, 133, 22), (-1, 978, 134, 22), (-1, 977, 135, 24), (-1, 976, 136, 25), (-1, 976, 137, 25), (-1, 975, 138, 27), (-1, 976, 139, 26), (-1, 978, 140, 24), (-1, 980, 141, 23), (-1, 981, 142, 22), (-1, 983, 143, 20), (-1, 985, 144, 19), (-1, 986, 145, 18), (-1, 988, 146, 16), (-1, 990, 147, 15), (-1, 991, 148, 14), (-1, 993, 149, 12), (-1, 995, 150, 11), (-1, 996, 151, 10), (-1, 998, 152, 8), (-1, 1000, 153, 7), (-1, 1001, 154, 6), (-1, 1003, 155, 4), (-1, 1005, 156, 3), (-1, 1007, 157, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1002, 'x1': 1568, 'y0': 0, 'y1': 568, 'score': 1.0, 'id': None, 'points': ['1568,0,1407,-2,1406,58,1394,124,1388,138,1383,150,1368,160,1380,187,1418,208,1313,420,1185,362,1128,404,1116,387,1071,314,1047,492,1040,501,1026,506,1002,510,1022,536,1137,567,1146,521,1148,504,1151,489,1155,483,1187,464,1199,456,1334,459,1338,435,1344,431,1349,420,1356,384,1364,372,1376,366,1383,355,1389,352,1520,381,1520,373,1431,349,1425,331,1424,312,1424,297,1427,285,1425,270,1430,256,1443,244,1448,234,1457,219,1461,213,1455,204,1443,198,1422,175,1410,169,1434,153,1484,102,1517,66'], 'sub_photo_id': 0, 'rles': [(-1, 1407, 0, 162), (-1, 1407, 1, 161), (-1, 1407, 2, 160), (-1, 1407, 3, 160), (-1, 1407, 4, 159), (-1, 1407, 5, 158), (-1, 1407, 6, 157), (-1, 1407, 7, 157), (-1, 1407, 8, 156), (-1, 1407, 9, 155), (-1, 1407, 10, 154), (-1, 1407, 11, 154), (-1, 1407, 12, 153), (-1, 1407, 13, 152), (-1, 1407, 14, 151), (-1, 1407, 15, 150), (-1, 1407, 16, 150), (-1, 1407, 17, 149), (-1, 1407, 18, 148), (-1, 1407, 19, 147), (-1, 1407, 20, 147), (-1, 1407, 21, 146), (-1, 1407, 22, 145), (-1, 1407, 23, 144), (-1, 1407, 24, 143), (-1, 1407, 25, 143), (-1, 1407, 26, 142), (-1, 1407, 27, 141), (-1, 1407, 28, 140), (-1, 1407, 29, 140), (-1, 1406, 30, 140), (-1, 1406, 31, 139), (-1, 1406, 32, 138), (-1, 1406, 33, 138), (-1, 1406, 34, 137), (-1, 1406, 35, 136), (-1, 1406, 36, 135), (-1, 1406, 37, 134), (-1, 1406, 38, 134), (-1, 1406, 39, 133), (-1, 1406, 40, 132), (-1, 1406, 41, 131), (-1, 1406, 42, 131), (-1, 1406, 43, 130), (-1, 1406, 44, 129), (-1, 1406, 45, 128), (-1, 1406, 46, 127), (-1, 1406, 47, 127), (-1, 1406, 48, 126), (-1, 1406, 49, 125), (-1, 1406, 50, 124), (-1, 1406, 51, 124), (-1, 1406, 52, 123), (-1, 1406, 53, 122), (-1, 1406, 54, 121), (-1, 1406, 55, 121), (-1, 1406, 56, 120), (-1, 1406, 57, 119), (-1, 1406, 58, 118), (-1, 1406, 59, 117), (-1, 1406, 60, 117), (-1, 1405, 61, 117), (-1, 1405, 62, 116), (-1, 1405, 63, 115), (-1, 1405, 64, 115), (-1, 1405, 65, 114), (-1, 1405, 66, 113), (-1, 1404, 67, 113), (-1, 1404, 68, 112), (-1, 1404, 69, 111), (-1, 1404, 70, 110), (-1, 1404, 71, 109), (-1, 1403, 72, 110), (-1, 1403, 73, 109), (-1, 1403, 74, 108), (-1, 1403, 75, 107), (-1, 1403, 76, 106), (-1, 1403, 77, 105), (-1, 1402, 78, 105), (-1, 1402, 79, 104), (-1, 1402, 80, 103), (-1, 1402, 81, 102), (-1, 1402, 82, 101), (-1, 1401, 83, 101), (-1, 1401, 84, 101), (-1, 1401, 85, 100), (-1, 1401, 86, 99), (-1, 1401, 87, 98), (-1, 1401, 88, 97), (-1, 1400, 89, 97), (-1, 1400, 90, 96), (-1, 1400, 91, 95), (-1, 1400, 92, 94), (-1, 1400, 93, 93), (-1, 1399, 94, 93), (-1, 1399, 95, 92), (-1, 1399, 96, 92), (-1, 1399, 97, 91), (-1, 1399, 98, 90), (-1, 1399, 99, 89), (-1, 1398, 100, 89), (-1, 1398, 101, 88), (-1, 1398, 102, 87), (-1, 1398, 103, 86), (-1, 1398, 104, 85), (-1, 1397, 105, 85), (-1, 1397, 106, 84), (-1, 1397, 107, 83), (-1, 1397, 108, 82), (-1, 1397, 109, 81), (-1, 1397, 110, 80), (-1, 1396, 111, 80), (-1, 1396, 112, 79), (-1, 1396, 113, 78), (-1, 1396, 114, 77), (-1, 1396, 115, 76), (-1, 1395, 116, 76), (-1, 1395, 117, 75), (-1, 1395, 118, 74), (-1, 1395, 119, 73), (-1, 1395, 120, 72), (-1, 1395, 121, 71), (-1, 1394, 122, 71), (-1, 1394, 123, 70), (-1, 1394, 124, 69), (-1, 1394, 125, 68), (-1, 1393, 126, 68), (-1, 1393, 127, 67), (-1, 1392, 128, 68), (-1, 1392, 129, 67), (-1, 1391, 130, 67), (-1, 1391, 131, 66), (-1, 1391, 132, 65), (-1, 1390, 133, 65), (-1, 1390, 134, 64), (-1, 1389, 135, 64), (-1, 1389, 136, 63), (-1, 1388, 137, 63), (-1, 1388, 138, 62), (-1, 1388, 139, 61), (-1, 1387, 140, 61), (-1, 1387, 141, 60), (-1, 1386, 142, 60), (-1, 1386, 143, 59), (-1, 1386, 144, 58), (-1, 1385, 145, 58), (-1, 1385, 146, 57), (-1, 1384, 147, 57), (-1, 1384, 148, 56), (-1, 1383, 149, 56), (-1, 1383, 150, 55), (-1, 1381, 151, 56), (-1, 1380, 152, 56), (-1, 1378, 153, 57), (-1, 1377, 154, 57), (-1, 1375, 155, 57), (-1, 1374, 156, 57), (-1, 1372, 157, 57), (-1, 1371, 158, 57), (-1, 1369, 159, 57), (-1, 1368, 160, 57), (-1, 1368, 161, 55), (-1, 1369, 162, 53), (-1, 1369, 163, 51), (-1, 1370, 164, 49), (-1, 1370, 165, 47), (-1, 1371, 166, 45), (-1, 1371, 167, 43), (-1, 1372, 168, 41), (-1, 1372, 169, 39), (-1, 1372, 170, 41), (-1, 1373, 171, 42), (-1, 1373, 172, 44), (-1, 1374, 173, 45), (-1, 1374, 174, 47), (-1, 1375, 175, 48), (-1, 1375, 176, 49), (-1, 1376, 177, 49), (-1, 1376, 178, 50), (-1, 1376, 179, 51), (-1, 1377, 180, 51), (-1, 1377, 181, 51), (-1, 1378, 182, 51), (-1, 1378, 183, 52), (-1, 1379, 184, 52), (-1, 1379, 185, 53), (-1, 1380, 186, 53), (-1, 1380, 187, 54), (-1, 1381, 188, 54), (-1, 1383, 189, 53), (-1, 1385, 190, 52), (-1, 1387, 191, 51), (-1, 1389, 192, 50), (-1, 1390, 193, 49), (-1, 1392, 194, 48), (-1, 1394, 195, 47), (-1, 1396, 196, 46), (-1, 1398, 197, 45), (-1, 1399, 198, 45), (-1, 1401, 199, 45), (-1, 1403, 200, 45), (-1, 1405, 201, 45), (-1, 1407, 202, 45), (-1, 1409, 203, 45), (-1, 1410, 204, 46), (-1, 1412, 205, 45), (-1, 1414, 206, 43), (-1, 1416, 207, 42), (-1, 1418, 208, 41), (-1, 1418, 209, 41), (-1, 1417, 210, 43), (-1, 1417, 211, 44), (-1, 1416, 212, 45), (-1, 1416, 213, 46), (-1, 1415, 214, 46), (-1, 1415, 215, 46), (-1, 1414, 216, 46), (-1, 1414, 217, 45), (-1, 1413, 218, 46), (-1, 1413, 219, 45), (-1, 1412, 220, 45), (-1, 1412, 221, 45), (-1, 1411, 222, 45), (-1, 1411, 223, 45), (-1, 1410, 224, 45), (-1, 1410, 225, 44), (-1, 1409, 226, 45), (-1, 1409, 227, 44), (-1, 1408, 228, 45), (-1, 1408, 229, 44), (-1, 1407, 230, 44), (-1, 1407, 231, 44), (-1, 1406, 232, 44), (-1, 1406, 233, 44), (-1, 1405, 234, 44), (-1, 1405, 235, 44), (-1, 1404, 236, 44), (-1, 1404, 237, 44), (-1, 1403, 238, 44), (-1, 1403, 239, 44), (-1, 1402, 240, 44), (-1, 1402, 241, 44), (-1, 1401, 242, 44), (-1, 1401, 243, 44), (-1, 1400, 244, 44), (-1, 1400, 245, 43), (-1, 1399, 246, 43), (-1, 1399, 247, 42), (-1, 1398, 248, 42), (-1, 1398, 249, 41), (-1, 1397, 250, 41), (-1, 1397, 251, 39), (-1, 1396, 252, 39), (-1, 1396, 253, 38), (-1, 1395, 254, 38), (-1, 1395, 255, 37), (-1, 1394, 256, 37), (-1, 1394, 257, 37), (-1, 1393, 258, 37), (-1, 1393, 259, 37), (-1, 1392, 260, 38), (-1, 1392, 261, 37), (-1, 1391, 262, 38), (-1, 1391, 263, 38), (-1, 1390, 264, 38), (-1, 1390, 265, 38), (-1, 1389, 266, 38), (-1, 1389, 267, 38), (-1, 1388, 268, 39), (-1, 1388, 269, 38), (-1, 1387, 270, 39), (-1, 1387, 271, 39), (-1, 1386, 272, 40), (-1, 1386, 273, 40), (-1, 1385, 274, 42), (-1, 1385, 275, 42), (-1, 1384, 276, 43), (-1, 1384, 277, 43), (-1, 1383, 278, 44), (-1, 1383, 279, 44), (-1, 1383, 280, 44), (-1, 1382, 281, 45), (-1, 1382, 282, 46), (-1, 1381, 283, 47), (-1, 1381, 284, 47), (-1, 1380, 285, 48), (-1, 1380, 286, 48), (-1, 1379, 287, 49), (-1, 1379, 288, 48), (-1, 1378, 289, 49), (-1, 1378, 290, 49), (-1, 1377, 291, 50), (-1, 1377, 292, 49), (-1, 1376, 293, 50), (-1, 1376, 294, 50), (-1, 1375, 295, 51), (-1, 1375, 296, 50), (-1, 1374, 297, 51), (-1, 1374, 298, 51), (-1, 1373, 299, 52), (-1, 1373, 300, 52), (-1, 1372, 301, 53), (-1, 1372, 302, 53), (-1, 1371, 303, 54), (-1, 1371, 304, 54), (-1, 1370, 305, 55), (-1, 1370, 306, 55), (-1, 1369, 307, 56), (-1, 1369, 308, 56), (-1, 1368, 309, 57), (-1, 1368, 310, 57), (-1, 1367, 311, 58), (-1, 1367, 312, 58), (-1, 1366, 313, 59), (-1, 1366, 314, 59), (-1, 1071, 315, 1), (-1, 1365, 315, 60), (-1, 1071, 316, 2), (-1, 1365, 316, 60), (-1, 1071, 317, 2), (-1, 1364, 317, 61), (-1, 1071, 318, 3), (-1, 1364, 318, 61), (-1, 1070, 319, 4), (-1, 1363, 319, 62), (-1, 1070, 320, 5), (-1, 1363, 320, 62), (-1, 1070, 321, 6), (-1, 1362, 321, 63), (-1, 1070, 322, 6), (-1, 1362, 322, 64), (-1, 1070, 323, 7), (-1, 1361, 323, 65), (-1, 1070, 324, 8), (-1, 1361, 324, 65), (-1, 1070, 325, 8), (-1, 1360, 325, 66), (-1, 1070, 326, 9), (-1, 1360, 326, 66), (-1, 1069, 327, 10), (-1, 1359, 327, 67), (-1, 1069, 328, 11), (-1, 1359, 328, 67), (-1, 1069, 329, 12), (-1, 1358, 329, 68), (-1, 1069, 330, 12), (-1, 1358, 330, 68), (-1, 1069, 331, 13), (-1, 1357, 331, 69), (-1, 1069, 332, 13), (-1, 1357, 332, 69), (-1, 1069, 333, 14), (-1, 1356, 333, 71), (-1, 1068, 334, 16), (-1, 1356, 334, 71), (-1, 1068, 335, 16), (-1, 1355, 335, 72), (-1, 1068, 336, 17), (-1, 1355, 336, 73), (-1, 1068, 337, 18), (-1, 1354, 337, 74), (-1, 1068, 338, 18), (-1, 1354, 338, 74), (-1, 1068, 339, 19), (-1, 1353, 339, 76), (-1, 1068, 340, 19), (-1, 1353, 340, 76), (-1, 1067, 341, 21), (-1, 1352, 341, 77), (-1, 1067, 342, 22), (-1, 1352, 342, 78), (-1, 1067, 343, 22), (-1, 1351, 343, 79), (-1, 1067, 344, 23), (-1, 1351, 344, 79), (-1, 1067, 345, 23), (-1, 1350, 345, 81), (-1, 1067, 346, 24), (-1, 1350, 346, 81), (-1, 1067, 347, 25), (-1, 1349, 347, 82), (-1, 1067, 348, 25), (-1, 1349, 348, 83), (-1, 1066, 349, 27), (-1, 1348, 349, 85), (-1, 1066, 350, 28), (-1, 1348, 350, 89), (-1, 1066, 351, 28), (-1, 1348, 351, 93), (-1, 1066, 352, 29), (-1, 1347, 352, 97), (-1, 1066, 353, 29), (-1, 1347, 353, 41), (-1, 1392, 353, 56), (-1, 1066, 354, 30), (-1, 1346, 354, 40), (-1, 1396, 354, 56), (-1, 1066, 355, 31), (-1, 1346, 355, 38), (-1, 1401, 355, 55), (-1, 1065, 356, 32), (-1, 1345, 356, 38), (-1, 1405, 356, 54), (-1, 1065, 357, 33), (-1, 1345, 357, 38), (-1, 1410, 357, 53), (-1, 1065, 358, 34), (-1, 1344, 358, 38), (-1, 1414, 358, 53), (-1, 1065, 359, 34), (-1, 1344, 359, 37), (-1, 1419, 359, 51), (-1, 1065, 360, 35), (-1, 1343, 360, 38), (-1, 1423, 360, 51), (-1, 1065, 361, 35), (-1, 1343, 361, 37), (-1, 1428, 361, 50), (-1, 1065, 362, 36), (-1, 1342, 362, 38), (-1, 1432, 362, 50), (-1, 1065, 363, 37), (-1, 1185, 363, 2), (-1, 1342, 363, 37), (-1, 1437, 363, 48), (-1, 1064, 364, 38), (-1, 1183, 364, 6), (-1, 1341, 364, 37), (-1, 1441, 364, 48), (-1, 1064, 365, 39), (-1, 1182, 365, 9), (-1, 1341, 365, 37), (-1, 1446, 365, 47), (-1, 1064, 366, 39), (-1, 1181, 366, 12), (-1, 1340, 366, 37), (-1, 1450, 366, 46), (-1, 1064, 367, 40), (-1, 1179, 367, 16), (-1, 1340, 367, 35), (-1, 1455, 367, 45), (-1, 1064, 368, 41), (-1, 1178, 368, 20), (-1, 1339, 368, 34), (-1, 1460, 368, 44), (-1, 1064, 369, 41), (-1, 1177, 369, 23), (-1, 1339, 369, 32), (-1, 1464, 369, 44), (-1, 1064, 370, 42), (-1, 1175, 370, 27), (-1, 1338, 370, 31), (-1, 1469, 370, 42), (-1, 1063, 371, 44), (-1, 1174, 371, 30), (-1, 1338, 371, 29), (-1, 1473, 371, 42), (-1, 1063, 372, 44), (-1, 1173, 372, 33), (-1, 1337, 372, 28), (-1, 1478, 372, 41), (-1, 1063, 373, 45), (-1, 1171, 373, 38), (-1, 1337, 373, 27), (-1, 1482, 373, 39), (-1, 1063, 374, 45), (-1, 1170, 374, 41), (-1, 1336, 374, 28), (-1, 1487, 374, 34), (-1, 1063, 375, 46), (-1, 1169, 375, 44), (-1, 1336, 375, 27), (-1, 1491, 375, 30), (-1, 1063, 376, 47), (-1, 1167, 376, 48), (-1, 1335, 376, 27), (-1, 1496, 376, 25), (-1, 1063, 377, 47), (-1, 1166, 377, 51), (-1, 1335, 377, 27), (-1, 1500, 377, 21), (-1, 1063, 378, 48), (-1, 1164, 378, 56), (-1, 1334, 378, 27), (-1, 1505, 378, 16), (-1, 1062, 379, 49), (-1, 1163, 379, 59), (-1, 1334, 379, 26), (-1, 1509, 379, 12), (-1, 1062, 380, 50), (-1, 1162, 380, 62), (-1, 1333, 380, 27), (-1, 1514, 380, 7), (-1, 1062, 381, 51), (-1, 1160, 381, 66), (-1, 1333, 381, 26), (-1, 1518, 381, 3), (-1, 1062, 382, 51), (-1, 1159, 382, 70), (-1, 1332, 382, 26), (-1, 1062, 383, 52), (-1, 1158, 383, 73), (-1, 1332, 383, 26), (-1, 1062, 384, 53), (-1, 1156, 384, 77), (-1, 1331, 384, 26), (-1, 1062, 385, 53), (-1, 1155, 385, 80), (-1, 1331, 385, 26), (-1, 1061, 386, 55), (-1, 1154, 386, 83), (-1, 1330, 386, 27), (-1, 1061, 387, 55), (-1, 1152, 387, 88), (-1, 1330, 387, 26), (-1, 1061, 388, 56), (-1, 1151, 388, 91), (-1, 1329, 388, 27), (-1, 1061, 389, 57), (-1, 1150, 389, 94), (-1, 1329, 389, 27), (-1, 1061, 390, 57), (-1, 1148, 390, 98), (-1, 1328, 390, 28), (-1, 1061, 391, 58), (-1, 1147, 391, 101), (-1, 1328, 391, 28), (-1, 1061, 392, 59), (-1, 1145, 392, 106), (-1, 1327, 392, 28), (-1, 1060, 393, 61), (-1, 1144, 393, 109), (-1, 1327, 393, 28), (-1, 1060, 394, 61), (-1, 1143, 394, 112), (-1, 1326, 394, 29), (-1, 1060, 395, 62), (-1, 1141, 395, 116), (-1, 1326, 395, 29), (-1, 1060, 396, 63), (-1, 1140, 396, 119), (-1, 1325, 396, 30), (-1, 1060, 397, 63), (-1, 1139, 397, 123), (-1, 1325, 397, 30), (-1, 1060, 398, 64), (-1, 1137, 398, 127), (-1, 1324, 398, 30), (-1, 1060, 399, 65), (-1, 1136, 399, 130), (-1, 1324, 399, 30), (-1, 1060, 400, 65), (-1, 1135, 400, 133), (-1, 1323, 400, 31), (-1, 1059, 401, 67), (-1, 1133, 401, 137), (-1, 1323, 401, 31), (-1, 1059, 402, 68), (-1, 1132, 402, 141), (-1, 1322, 402, 32), (-1, 1059, 403, 69), (-1, 1131, 403, 144), (-1, 1322, 403, 31), (-1, 1059, 404, 69), (-1, 1129, 404, 148), (-1, 1321, 404, 32), (-1, 1059, 405, 220), (-1, 1321, 405, 32), (-1, 1059, 406, 222), (-1, 1320, 406, 33), (-1, 1059, 407, 225), (-1, 1320, 407, 33), (-1, 1058, 408, 228), (-1, 1319, 408, 33), (-1, 1058, 409, 230), (-1, 1319, 409, 33), (-1, 1058, 410, 232), (-1, 1318, 410, 34), (-1, 1058, 411, 235), (-1, 1318, 411, 34), (-1, 1058, 412, 237), (-1, 1317, 412, 35), (-1, 1058, 413, 239), (-1, 1317, 413, 35), (-1, 1058, 414, 241), (-1, 1316, 414, 35), (-1, 1058, 415, 243), (-1, 1316, 415, 35), (-1, 1057, 416, 247), (-1, 1315, 416, 36), (-1, 1057, 417, 249), (-1, 1315, 417, 36), (-1, 1057, 418, 251), (-1, 1314, 418, 37), (-1, 1057, 419, 253), (-1, 1314, 419, 36), (-1, 1057, 420, 255), (-1, 1313, 420, 37), (-1, 1057, 421, 293), (-1, 1057, 422, 293), (-1, 1056, 423, 293), (-1, 1056, 424, 293), (-1, 1056, 425, 292), (-1, 1056, 426, 292), (-1, 1056, 427, 291), (-1, 1056, 428, 291), (-1, 1056, 429, 290), (-1, 1055, 430, 291), (-1, 1055, 431, 290), (-1, 1055, 432, 290), (-1, 1055, 433, 289), (-1, 1055, 434, 287), (-1, 1055, 435, 286), (-1, 1055, 436, 284), (-1, 1055, 437, 284), (-1, 1054, 438, 285), (-1, 1054, 439, 285), (-1, 1054, 440, 284), (-1, 1054, 441, 284), (-1, 1054, 442, 284), (-1, 1054, 443, 284), (-1, 1054, 444, 284), (-1, 1053, 445, 285), (-1, 1053, 446, 284), (-1, 1053, 447, 284), (-1, 1053, 448, 284), (-1, 1053, 449, 284), (-1, 1053, 450, 284), (-1, 1053, 451, 284), (-1, 1053, 452, 283), (-1, 1052, 453, 284), (-1, 1052, 454, 284), (-1, 1052, 455, 284), (-1, 1052, 456, 284), (-1, 1052, 457, 284), (-1, 1052, 458, 147), (-1, 1222, 458, 113), (-1, 1052, 459, 145), (-1, 1267, 459, 68), (-1, 1051, 460, 145), (-1, 1312, 460, 23), (-1, 1051, 461, 143), (-1, 1051, 462, 142), (-1, 1051, 463, 140), (-1, 1051, 464, 139), (-1, 1051, 465, 137), (-1, 1051, 466, 136), (-1, 1051, 467, 134), (-1, 1050, 468, 133), (-1, 1050, 469, 132), (-1, 1050, 470, 130), (-1, 1050, 471, 128), (-1, 1050, 472, 127), (-1, 1050, 473, 125), (-1, 1050, 474, 123), (-1, 1049, 475, 122), (-1, 1049, 476, 121), (-1, 1049, 477, 119), (-1, 1049, 478, 117), (-1, 1049, 479, 116), (-1, 1049, 480, 114), (-1, 1049, 481, 112), (-1, 1048, 482, 112), (-1, 1048, 483, 110), (-1, 1048, 484, 108), (-1, 1048, 485, 107), (-1, 1048, 486, 107), (-1, 1048, 487, 106), (-1, 1048, 488, 105), (-1, 1048, 489, 105), (-1, 1047, 490, 105), (-1, 1047, 491, 105), (-1, 1047, 492, 105), (-1, 1047, 493, 104), (-1, 1046, 494, 105), (-1, 1045, 495, 106), (-1, 1045, 496, 106), (-1, 1044, 497, 107), (-1, 1043, 498, 107), (-1, 1042, 499, 108), (-1, 1042, 500, 108), (-1, 1041, 501, 109), (-1, 1039, 502, 111), (-1, 1036, 503, 113), (-1, 1033, 504, 116), (-1, 1031, 505, 118), (-1, 1028, 506, 121), (-1, 1023, 507, 126), (-1, 1017, 508, 132), (-1, 1011, 509, 138), (-1, 1005, 510, 143), (-1, 1002, 511, 146), (-1, 1003, 512, 145), (-1, 1004, 513, 144), (-1, 1004, 514, 144), (-1, 1005, 515, 143), (-1, 1006, 516, 142), (-1, 1007, 517, 141), (-1, 1007, 518, 140), (-1, 1008, 519, 139), (-1, 1009, 520, 138), (-1, 1010, 521, 137), (-1, 1010, 522, 137), (-1, 1011, 523, 136), (-1, 1012, 524, 135), (-1, 1013, 525, 133), (-1, 1014, 526, 132), (-1, 1014, 527, 132), (-1, 1015, 528, 131), (-1, 1016, 529, 130), (-1, 1017, 530, 128), (-1, 1017, 531, 128), (-1, 1018, 532, 127), (-1, 1019, 533, 126), (-1, 1020, 534, 125), (-1, 1020, 535, 124), (-1, 1021, 536, 123), (-1, 1022, 537, 122), (-1, 1024, 538, 120), (-1, 1028, 539, 116), (-1, 1032, 540, 111), (-1, 1035, 541, 108), (-1, 1039, 542, 104), (-1, 1043, 543, 100), (-1, 1047, 544, 96), (-1, 1050, 545, 93), (-1, 1054, 546, 88), (-1, 1058, 547, 84), (-1, 1061, 548, 81), (-1, 1065, 549, 77), (-1, 1069, 550, 73), (-1, 1073, 551, 68), (-1, 1076, 552, 65), (-1, 1080, 553, 61), (-1, 1084, 554, 57), (-1, 1087, 555, 54), (-1, 1091, 556, 49), (-1, 1095, 557, 45), (-1, 1099, 558, 41), (-1, 1102, 559, 38), (-1, 1106, 560, 34), (-1, 1110, 561, 29), (-1, 1113, 562, 26), (-1, 1117, 563, 22), (-1, 1121, 564, 18), (-1, 1125, 565, 14), (-1, 1128, 566, 10), (-1, 1132, 567, 6), (-1, 1136, 568, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 2107752385, 'type': 3230, 'x0': 689, 'x1': 899, 'y0': 672, 'y1': 913, 'score': 1.0, 'id': None, 'points': ['899,846,863,761,851,729,785,683,770,671,707,705,696,717,696,729,689,753,689,767,702,801,710,833,725,893,729,902,737,906,750,906,764,905,783,899,794,912'], 'sub_photo_id': 0, 'rles': [(-1, 770, 672, 1), (-1, 768, 673, 4), (-1, 766, 674, 8), (-1, 764, 675, 11), (-1, 762, 676, 14), (-1, 760, 677, 17), (-1, 758, 678, 21), (-1, 757, 679, 23), (-1, 755, 680, 26), (-1, 753, 681, 29), (-1, 751, 682, 33), (-1, 749, 683, 36), (-1, 747, 684, 39), (-1, 745, 685, 43), (-1, 744, 686, 45), (-1, 742, 687, 49), (-1, 740, 688, 52), (-1, 738, 689, 55), (-1, 736, 690, 59), (-1, 734, 691, 62), (-1, 733, 692, 65), (-1, 731, 693, 68), (-1, 729, 694, 72), (-1, 727, 695, 75), (-1, 725, 696, 78), (-1, 723, 697, 82), (-1, 721, 698, 85), (-1, 720, 699, 88), (-1, 718, 700, 91), (-1, 716, 701, 95), (-1, 714, 702, 98), (-1, 712, 703, 101), (-1, 710, 704, 105), (-1, 708, 705, 108), (-1, 707, 706, 111), (-1, 706, 707, 113), (-1, 705, 708, 116), (-1, 704, 709, 118), (-1, 703, 710, 121), (-1, 702, 711, 123), (-1, 702, 712, 124), (-1, 701, 713, 127), (-1, 700, 714, 129), (-1, 699, 715, 132), (-1, 698, 716, 134), (-1, 697, 717, 137), (-1, 696, 718, 139), (-1, 696, 719, 140), (-1, 696, 720, 142), (-1, 696, 721, 143), (-1, 696, 722, 145), (-1, 696, 723, 146), (-1, 696, 724, 148), (-1, 696, 725, 149), (-1, 696, 726, 150), (-1, 696, 727, 152), (-1, 696, 728, 153), (-1, 696, 729, 155), (-1, 696, 730, 156), (-1, 696, 731, 156), (-1, 695, 732, 158), (-1, 695, 733, 158), (-1, 695, 734, 159), (-1, 695, 735, 159), (-1, 694, 736, 160), (-1, 694, 737, 161), (-1, 694, 738, 161), (-1, 693, 739, 162), (-1, 693, 740, 163), (-1, 693, 741, 163), (-1, 693, 742, 164), (-1, 692, 743, 165), (-1, 692, 744, 165), (-1, 692, 745, 166), (-1, 691, 746, 167), (-1, 691, 747, 167), (-1, 691, 748, 168), (-1, 690, 749, 169), (-1, 690, 750, 170), (-1, 690, 751, 170), (-1, 690, 752, 170), (-1, 689, 753, 172), (-1, 689, 754, 172), (-1, 689, 755, 172), (-1, 689, 756, 173), (-1, 689, 757, 173), (-1, 689, 758, 174), (-1, 689, 759, 174), (-1, 689, 760, 174), (-1, 689, 761, 175), (-1, 689, 762, 175), (-1, 689, 763, 175), (-1, 689, 764, 176), (-1, 689, 765, 176), (-1, 689, 766, 177), (-1, 689, 767, 177), (-1, 689, 768, 178), (-1, 689, 769, 178), (-1, 690, 770, 177), (-1, 690, 771, 178), (-1, 691, 772, 177), (-1, 691, 773, 178), (-1, 691, 774, 178), (-1, 692, 775, 178), (-1, 692, 776, 178), (-1, 692, 777, 178), (-1, 693, 778, 178), (-1, 693, 779, 178), (-1, 694, 780, 178), (-1, 694, 781, 178), (-1, 694, 782, 178), (-1, 695, 783, 178), (-1, 695, 784, 178), (-1, 696, 785, 178), (-1, 696, 786, 178), (-1, 696, 787, 179), (-1, 697, 788, 178), (-1, 697, 789, 178), (-1, 697, 790, 179), (-1, 698, 791, 178), (-1, 698, 792, 179), (-1, 699, 793, 178), (-1, 699, 794, 179), (-1, 699, 795, 179), (-1, 700, 796, 178), (-1, 700, 797, 179), (-1, 700, 798, 179), (-1, 701, 799, 179), (-1, 701, 800, 179), (-1, 702, 801, 179), (-1, 702, 802, 179), (-1, 702, 803, 179), (-1, 703, 804, 179), (-1, 703, 805, 179), (-1, 703, 806, 180), (-1, 703, 807, 180), (-1, 704, 808, 179), (-1, 704, 809, 180), (-1, 704, 810, 180), (-1, 704, 811, 181), (-1, 705, 812, 180), (-1, 705, 813, 181), (-1, 705, 814, 181), (-1, 705, 815, 181), (-1, 706, 816, 181), (-1, 706, 817, 181), (-1, 706, 818, 182), (-1, 706, 819, 182), (-1, 707, 820, 182), (-1, 707, 821, 182), (-1, 707, 822, 182), (-1, 707, 823, 183), (-1, 708, 824, 182), (-1, 708, 825, 183), (-1, 708, 826, 183), (-1, 708, 827, 184), (-1, 709, 828, 183), (-1, 709, 829, 183), (-1, 709, 830, 184), (-1, 709, 831, 184), (-1, 710, 832, 184), (-1, 710, 833, 184), (-1, 710, 834, 184), (-1, 710, 835, 185), (-1, 711, 836, 184), (-1, 711, 837, 185), (-1, 711, 838, 185), (-1, 711, 839, 186), (-1, 712, 840, 185), (-1, 712, 841, 185), (-1, 712, 842, 186), (-1, 712, 843, 186), (-1, 713, 844, 186), (-1, 713, 845, 186), (-1, 713, 846, 187), (-1, 713, 847, 187), (-1, 714, 848, 185), (-1, 714, 849, 183), (-1, 714, 850, 182), (-1, 714, 851, 180), (-1, 715, 852, 177), (-1, 715, 853, 176), (-1, 715, 854, 174), (-1, 715, 855, 173), (-1, 716, 856, 170), (-1, 716, 857, 168), (-1, 716, 858, 167), (-1, 716, 859, 165), (-1, 717, 860, 163), (-1, 717, 861, 161), (-1, 717, 862, 159), (-1, 717, 863, 158), (-1, 718, 864, 155), (-1, 718, 865, 154), (-1, 718, 866, 152), (-1, 718, 867, 150), (-1, 719, 868, 148), (-1, 719, 869, 146), (-1, 719, 870, 145), (-1, 719, 871, 143), (-1, 720, 872, 141), (-1, 720, 873, 139), (-1, 720, 874, 137), (-1, 720, 875, 136), (-1, 721, 876, 133), (-1, 721, 877, 132), (-1, 721, 878, 130), (-1, 721, 879, 128), (-1, 722, 880, 126), (-1, 722, 881, 124), (-1, 722, 882, 123), (-1, 722, 883, 121), (-1, 723, 884, 118), (-1, 723, 885, 117), (-1, 723, 886, 115), (-1, 723, 887, 114), (-1, 724, 888, 111), (-1, 724, 889, 109), (-1, 724, 890, 108), (-1, 724, 891, 106), (-1, 725, 892, 104), (-1, 725, 893, 102), (-1, 725, 894, 101), (-1, 725, 895, 99), (-1, 726, 896, 96), (-1, 726, 897, 95), (-1, 727, 898, 92), (-1, 727, 899, 91), (-1, 728, 900, 88), (-1, 728, 901, 54), (-1, 784, 901, 30), (-1, 729, 902, 50), (-1, 785, 902, 28), (-1, 729, 903, 47), (-1, 786, 903, 25), (-1, 730, 904, 42), (-1, 786, 904, 24), (-1, 732, 905, 37), (-1, 787, 905, 21), (-1, 734, 906, 32), (-1, 788, 906, 18), (-1, 736, 907, 21), (-1, 789, 907, 16), (-1, 790, 908, 13), (-1, 791, 909, 11), (-1, 791, 910, 9), (-1, 792, 911, 6), (-1, 793, 912, 4), (-1, 794, 913, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 740, 'x1': 1017, 'y0': 3, 'y1': 381, 'score': 1.0, 'id': None, 'points': ['1007,207,962,168,959,158,960,146,957,134,908,92,896,75,881,60,818,18,786,2,777,11,740,83,753,83,767,90,780,95,788,113,797,131,807,170,828,300,830,311,857,380,876,233,885,231,927,237,1002,236,1017,222'], 'sub_photo_id': 0, 'rles': [(-1, 786, 3, 1), (-1, 785, 4, 4), (-1, 784, 5, 7), (-1, 783, 6, 10), (-1, 782, 7, 13), (-1, 781, 8, 16), (-1, 780, 9, 19), (-1, 779, 10, 22), (-1, 778, 11, 25), (-1, 777, 12, 28), (-1, 776, 13, 31), (-1, 776, 14, 33), (-1, 775, 15, 36), (-1, 775, 16, 38), (-1, 774, 17, 41), (-1, 774, 18, 43), (-1, 773, 19, 46), (-1, 773, 20, 48), (-1, 772, 21, 50), (-1, 772, 22, 52), (-1, 771, 23, 54), (-1, 771, 24, 56), (-1, 770, 25, 58), (-1, 770, 26, 60), (-1, 769, 27, 62), (-1, 769, 28, 64), (-1, 768, 29, 66), (-1, 768, 30, 68), (-1, 767, 31, 70), (-1, 767, 32, 72), (-1, 766, 33, 74), (-1, 766, 34, 76), (-1, 765, 35, 78), (-1, 765, 36, 80), (-1, 764, 37, 82), (-1, 764, 38, 84), (-1, 763, 39, 86), (-1, 763, 40, 88), (-1, 762, 41, 90), (-1, 762, 42, 92), (-1, 761, 43, 94), (-1, 761, 44, 96), (-1, 760, 45, 98), (-1, 760, 46, 100), (-1, 759, 47, 102), (-1, 759, 48, 104), (-1, 758, 49, 106), (-1, 757, 50, 109), (-1, 757, 51, 110), (-1, 756, 52, 113), (-1, 756, 53, 114), (-1, 755, 54, 117), (-1, 755, 55, 118), (-1, 754, 56, 121), (-1, 754, 57, 122), (-1, 753, 58, 125), (-1, 753, 59, 126), (-1, 752, 60, 129), (-1, 752, 61, 130), (-1, 751, 62, 132), (-1, 751, 63, 133), (-1, 750, 64, 135), (-1, 750, 65, 136), (-1, 749, 66, 138), (-1, 749, 67, 139), (-1, 748, 68, 141), (-1, 748, 69, 142), (-1, 747, 70, 144), (-1, 747, 71, 145), (-1, 746, 72, 147), (-1, 746, 73, 148), (-1, 745, 74, 150), (-1, 745, 75, 151), (-1, 744, 76, 153), (-1, 744, 77, 154), (-1, 743, 78, 155), (-1, 743, 79, 156), (-1, 742, 80, 158), (-1, 742, 81, 159), (-1, 741, 82, 160), (-1, 741, 83, 161), (-1, 740, 84, 163), (-1, 754, 85, 149), (-1, 756, 86, 148), (-1, 758, 87, 147), (-1, 760, 88, 145), (-1, 762, 89, 144), (-1, 764, 90, 143), (-1, 766, 91, 142), (-1, 769, 92, 139), (-1, 771, 93, 138), (-1, 774, 94, 136), (-1, 777, 95, 134), (-1, 779, 96, 134), (-1, 780, 97, 134), (-1, 781, 98, 134), (-1, 781, 99, 135), (-1, 782, 100, 135), (-1, 782, 101, 136), (-1, 783, 102, 137), (-1, 783, 103, 138), (-1, 784, 104, 138), (-1, 784, 105, 139), (-1, 784, 106, 140), (-1, 785, 107, 140), (-1, 785, 108, 142), (-1, 786, 109, 142), (-1, 786, 110, 143), (-1, 787, 111, 143), (-1, 787, 112, 144), (-1, 788, 113, 144), (-1, 788, 114, 146), (-1, 789, 115, 146), (-1, 789, 116, 147), (-1, 790, 117, 147), (-1, 790, 118, 148), (-1, 791, 119, 148), (-1, 791, 120, 150), (-1, 792, 121, 150), (-1, 792, 122, 151), (-1, 793, 123, 151), (-1, 793, 124, 152), (-1, 794, 125, 152), (-1, 794, 126, 154), (-1, 795, 127, 154), (-1, 795, 128, 155), (-1, 796, 129, 155), (-1, 796, 130, 156), (-1, 797, 131, 156), (-1, 797, 132, 158), (-1, 797, 133, 159), (-1, 798, 134, 159), (-1, 798, 135, 160), (-1, 798, 136, 160), (-1, 798, 137, 161), (-1, 799, 138, 160), (-1, 799, 139, 160), (-1, 799, 140, 160), (-1, 799, 141, 161), (-1, 800, 142, 160), (-1, 800, 143, 160), (-1, 800, 144, 160), (-1, 800, 145, 161), (-1, 801, 146, 160), (-1, 801, 147, 160), (-1, 801, 148, 160), (-1, 801, 149, 160), (-1, 802, 150, 159), (-1, 802, 151, 159), (-1, 802, 152, 159), (-1, 802, 153, 159), (-1, 803, 154, 157), (-1, 803, 155, 157), (-1, 803, 156, 157), (-1, 803, 157, 157), (-1, 804, 158, 156), (-1, 804, 159, 156), (-1, 804, 160, 156), (-1, 804, 161, 157), (-1, 805, 162, 156), (-1, 805, 163, 156), (-1, 805, 164, 157), (-1, 805, 165, 157), (-1, 806, 166, 156), (-1, 806, 167, 156), (-1, 806, 168, 157), (-1, 806, 169, 157), (-1, 807, 170, 157), (-1, 807, 171, 158), (-1, 807, 172, 160), (-1, 807, 173, 161), (-1, 807, 174, 162), (-1, 808, 175, 162), (-1, 808, 176, 163), (-1, 808, 177, 164), (-1, 808, 178, 165), (-1, 808, 179, 167), (-1, 808, 180, 168), (-1, 809, 181, 168), (-1, 809, 182, 169), (-1, 809, 183, 170), (-1, 809, 184, 171), (-1, 809, 185, 173), (-1, 809, 186, 174), (-1, 810, 187, 174), (-1, 810, 188, 175), (-1, 810, 189, 176), (-1, 810, 190, 177), (-1, 810, 191, 178), (-1, 810, 192, 180), (-1, 811, 193, 180), (-1, 811, 194, 181), (-1, 811, 195, 182), (-1, 811, 196, 183), (-1, 811, 197, 184), (-1, 811, 198, 186), (-1, 812, 199, 186), (-1, 812, 200, 187), (-1, 812, 201, 188), (-1, 812, 202, 189), (-1, 812, 203, 190), (-1, 812, 204, 191), (-1, 812, 205, 193), (-1, 813, 206, 193), (-1, 813, 207, 194), (-1, 813, 208, 195), (-1, 813, 209, 196), (-1, 813, 210, 196), (-1, 813, 211, 197), (-1, 814, 212, 197), (-1, 814, 213, 197), (-1, 814, 214, 198), (-1, 814, 215, 199), (-1, 814, 216, 199), (-1, 814, 217, 200), (-1, 815, 218, 200), (-1, 815, 219, 200), (-1, 815, 220, 201), (-1, 815, 221, 202), (-1, 815, 222, 202), (-1, 815, 223, 203), (-1, 816, 224, 201), (-1, 816, 225, 200), (-1, 816, 226, 199), (-1, 816, 227, 198), (-1, 816, 228, 197), (-1, 816, 229, 196), (-1, 817, 230, 194), (-1, 817, 231, 192), (-1, 817, 232, 191), (-1, 817, 233, 66), (-1, 889, 233, 118), (-1, 817, 234, 62), (-1, 896, 234, 110), (-1, 817, 235, 60), (-1, 903, 235, 102), (-1, 818, 236, 59), (-1, 910, 236, 94), (-1, 818, 237, 59), (-1, 917, 237, 86), (-1, 818, 238, 58), (-1, 924, 238, 41), (-1, 818, 239, 58), (-1, 818, 240, 58), (-1, 818, 241, 58), (-1, 818, 242, 58), (-1, 819, 243, 57), (-1, 819, 244, 57), (-1, 819, 245, 57), (-1, 819, 246, 56), (-1, 819, 247, 56), (-1, 819, 248, 56), (-1, 820, 249, 55), (-1, 820, 250, 55), (-1, 820, 251, 55), (-1, 820, 252, 55), (-1, 820, 253, 55), (-1, 820, 254, 54), (-1, 821, 255, 53), (-1, 821, 256, 53), (-1, 821, 257, 53), (-1, 821, 258, 53), (-1, 821, 259, 53), (-1, 821, 260, 53), (-1, 822, 261, 52), (-1, 822, 262, 51), (-1, 822, 263, 51), (-1, 822, 264, 51), (-1, 822, 265, 51), (-1, 822, 266, 51), (-1, 823, 267, 50), (-1, 823, 268, 50), (-1, 823, 269, 49), (-1, 823, 270, 49), (-1, 823, 271, 49), (-1, 823, 272, 49), (-1, 823, 273, 49), (-1, 824, 274, 48), (-1, 824, 275, 48), (-1, 824, 276, 48), (-1, 824, 277, 47), (-1, 824, 278, 47), (-1, 824, 279, 47), (-1, 825, 280, 46), (-1, 825, 281, 46), (-1, 825, 282, 46), (-1, 825, 283, 46), (-1, 825, 284, 46), (-1, 825, 285, 45), (-1, 826, 286, 44), (-1, 826, 287, 44), (-1, 826, 288, 44), (-1, 826, 289, 44), (-1, 826, 290, 44), (-1, 826, 291, 44), (-1, 827, 292, 43), (-1, 827, 293, 42), (-1, 827, 294, 42), (-1, 827, 295, 42), (-1, 827, 296, 42), (-1, 827, 297, 42), (-1, 828, 298, 41), (-1, 828, 299, 41), (-1, 828, 300, 40), (-1, 828, 301, 40), (-1, 828, 302, 40), (-1, 828, 303, 40), (-1, 829, 304, 39), (-1, 829, 305, 39), (-1, 829, 306, 39), (-1, 829, 307, 39), (-1, 829, 308, 38), (-1, 829, 309, 38), (-1, 830, 310, 37), (-1, 830, 311, 37), (-1, 830, 312, 37), (-1, 830, 313, 37), (-1, 831, 314, 36), (-1, 831, 315, 36), (-1, 832, 316, 34), (-1, 832, 317, 34), (-1, 832, 318, 34), (-1, 833, 319, 33), (-1, 833, 320, 33), (-1, 834, 321, 32), (-1, 834, 322, 32), (-1, 834, 323, 31), (-1, 835, 324, 30), (-1, 835, 325, 30), (-1, 835, 326, 30), (-1, 836, 327, 29), (-1, 836, 328, 29), (-1, 837, 329, 28), (-1, 837, 330, 28), (-1, 837, 331, 27), (-1, 838, 332, 26), (-1, 838, 333, 26), (-1, 839, 334, 25), (-1, 839, 335, 25), (-1, 839, 336, 25), (-1, 840, 337, 24), (-1, 840, 338, 24), (-1, 841, 339, 22), (-1, 841, 340, 22), (-1, 841, 341, 22), (-1, 842, 342, 21), (-1, 842, 343, 21), (-1, 843, 344, 20), (-1, 843, 345, 20), (-1, 843, 346, 20), (-1, 844, 347, 18), (-1, 844, 348, 18), (-1, 844, 349, 18), (-1, 845, 350, 17), (-1, 845, 351, 17), (-1, 846, 352, 16), (-1, 846, 353, 16), (-1, 846, 354, 15), (-1, 847, 355, 14), (-1, 847, 356, 14), (-1, 848, 357, 13), (-1, 848, 358, 13), (-1, 848, 359, 13), (-1, 849, 360, 12), (-1, 849, 361, 12), (-1, 850, 362, 10), (-1, 850, 363, 10), (-1, 850, 364, 10), (-1, 851, 365, 9), (-1, 851, 366, 9), (-1, 852, 367, 8), (-1, 852, 368, 8), (-1, 852, 369, 8), (-1, 853, 370, 6), (-1, 853, 371, 6), (-1, 853, 372, 6), (-1, 854, 373, 5), (-1, 854, 374, 5), (-1, 855, 375, 4), (-1, 855, 376, 4), (-1, 855, 377, 4), (-1, 856, 378, 2), (-1, 856, 379, 2), (-1, 857, 380, 1), (-1, 857, 381, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 338, 'x1': 854, 'y0': 309, 'y1': 670, 'score': 1.0, 'id': None, 'points': ['854,381,833,312,713,357,692,362,672,366,662,375,653,381,636,378,621,377,515,308,429,396,416,396,377,342,338,329,476,461,473,476,462,492,456,504,453,512,440,524,453,533,464,530,465,516,477,512,486,507,491,500,513,473,518,458,522,447,528,435,543,429,558,422,570,416,581,413,597,411,611,411,632,416,638,435,641,456,687,587,687,611,695,629,699,636,771,669,764,624,761,608,758,593,753,579,752,569,749,549,743,524,740,504,735,489,731,465,723,441,720,420,726,402,734,396,744,386,753,380,768,371,785,363,803,356,813,351,830,351'], 'sub_photo_id': 0, 'rles': [(-1, 515, 309, 1), (-1, 514, 310, 4), (-1, 513, 311, 6), (-1, 512, 312, 9), (-1, 511, 313, 11), (-1, 832, 313, 2), (-1, 510, 314, 14), (-1, 829, 314, 5), (-1, 509, 315, 16), (-1, 827, 315, 8), (-1, 508, 316, 19), (-1, 824, 316, 11), (-1, 507, 317, 22), (-1, 821, 317, 14), (-1, 506, 318, 24), (-1, 819, 318, 17), (-1, 505, 319, 27), (-1, 816, 319, 20), (-1, 504, 320, 29), (-1, 813, 320, 23), (-1, 503, 321, 32), (-1, 811, 321, 25), (-1, 502, 322, 34), (-1, 808, 322, 29), (-1, 501, 323, 37), (-1, 805, 323, 32), (-1, 500, 324, 39), (-1, 803, 324, 34), (-1, 499, 325, 42), (-1, 800, 325, 38), (-1, 498, 326, 44), (-1, 797, 326, 41), (-1, 497, 327, 47), (-1, 795, 327, 43), (-1, 496, 328, 49), (-1, 792, 328, 47), (-1, 495, 329, 52), (-1, 789, 329, 50), (-1, 338, 330, 2), (-1, 494, 330, 55), (-1, 787, 330, 52), (-1, 339, 331, 4), (-1, 494, 331, 56), (-1, 784, 331, 55), (-1, 340, 332, 6), (-1, 493, 332, 59), (-1, 781, 332, 59), (-1, 341, 333, 8), (-1, 492, 333, 61), (-1, 779, 333, 61), (-1, 342, 334, 10), (-1, 491, 334, 64), (-1, 776, 334, 64), (-1, 343, 335, 12), (-1, 490, 335, 66), (-1, 773, 335, 68), (-1, 344, 336, 14), (-1, 489, 336, 69), (-1, 771, 336, 70), (-1, 345, 337, 16), (-1, 488, 337, 71), (-1, 768, 337, 73), (-1, 346, 338, 18), (-1, 487, 338, 74), (-1, 765, 338, 77), (-1, 347, 339, 20), (-1, 486, 339, 76), (-1, 763, 339, 79), (-1, 348, 340, 22), (-1, 485, 340, 79), (-1, 760, 340, 82), (-1, 349, 341, 24), (-1, 484, 341, 81), (-1, 757, 341, 86), (-1, 351, 342, 25), (-1, 483, 342, 84), (-1, 755, 342, 88), (-1, 352, 343, 26), (-1, 482, 343, 86), (-1, 752, 343, 91), (-1, 353, 344, 26), (-1, 481, 344, 89), (-1, 749, 344, 94), (-1, 354, 345, 25), (-1, 480, 345, 92), (-1, 747, 345, 97), (-1, 355, 346, 25), (-1, 479, 346, 94), (-1, 744, 346, 100), (-1, 356, 347, 25), (-1, 478, 347, 97), (-1, 741, 347, 103), (-1, 357, 348, 25), (-1, 477, 348, 99), (-1, 739, 348, 106), (-1, 358, 349, 24), (-1, 476, 349, 102), (-1, 736, 349, 109), (-1, 359, 350, 24), (-1, 475, 350, 104), (-1, 733, 350, 112), (-1, 360, 351, 24), (-1, 474, 351, 107), (-1, 731, 351, 115), (-1, 361, 352, 24), (-1, 473, 352, 109), (-1, 728, 352, 118), (-1, 362, 353, 23), (-1, 472, 353, 112), (-1, 725, 353, 87), (-1, 831, 353, 15), (-1, 363, 354, 23), (-1, 471, 354, 114), (-1, 723, 354, 87), (-1, 832, 354, 14), (-1, 364, 355, 23), (-1, 470, 355, 117), (-1, 720, 355, 88), (-1, 832, 355, 15), (-1, 365, 356, 22), (-1, 469, 356, 119), (-1, 717, 356, 89), (-1, 833, 356, 14), (-1, 366, 357, 22), (-1, 468, 357, 122), (-1, 715, 357, 89), (-1, 834, 357, 13), (-1, 367, 358, 22), (-1, 467, 358, 125), (-1, 711, 358, 91), (-1, 835, 358, 13), (-1, 368, 359, 22), (-1, 466, 359, 127), (-1, 707, 359, 93), (-1, 836, 359, 12), (-1, 369, 360, 21), (-1, 465, 360, 130), (-1, 703, 360, 94), (-1, 836, 360, 12), (-1, 370, 361, 21), (-1, 464, 361, 132), (-1, 699, 361, 95), (-1, 837, 361, 12), (-1, 371, 362, 21), (-1, 463, 362, 135), (-1, 695, 362, 97), (-1, 838, 362, 11), (-1, 372, 363, 20), (-1, 462, 363, 137), (-1, 690, 363, 99), (-1, 839, 363, 10), (-1, 374, 364, 19), (-1, 461, 364, 140), (-1, 685, 364, 102), (-1, 840, 364, 10), (-1, 375, 365, 19), (-1, 460, 365, 142), (-1, 680, 365, 104), (-1, 840, 365, 10), (-1, 376, 366, 19), (-1, 459, 366, 145), (-1, 675, 366, 107), (-1, 841, 366, 9), (-1, 377, 367, 18), (-1, 458, 367, 147), (-1, 672, 367, 108), (-1, 842, 367, 8), (-1, 378, 368, 18), (-1, 457, 368, 150), (-1, 671, 368, 107), (-1, 843, 368, 8), (-1, 379, 369, 18), (-1, 456, 369, 152), (-1, 670, 369, 106), (-1, 844, 369, 7), (-1, 380, 370, 18), (-1, 455, 370, 155), (-1, 669, 370, 105), (-1, 844, 370, 7), (-1, 381, 371, 17), (-1, 454, 371, 158), (-1, 667, 371, 105), (-1, 845, 371, 7), (-1, 382, 372, 17), (-1, 453, 372, 160), (-1, 666, 372, 104), (-1, 846, 372, 6), (-1, 383, 373, 17), (-1, 452, 373, 163), (-1, 665, 373, 103), (-1, 847, 373, 5), (-1, 384, 374, 16), (-1, 451, 374, 165), (-1, 664, 374, 102), (-1, 848, 374, 5), (-1, 385, 375, 16), (-1, 451, 375, 167), (-1, 663, 375, 101), (-1, 848, 375, 5), (-1, 386, 376, 16), (-1, 450, 376, 169), (-1, 662, 376, 101), (-1, 849, 376, 4), (-1, 387, 377, 16), (-1, 449, 377, 172), (-1, 660, 377, 101), (-1, 850, 377, 3), (-1, 388, 378, 15), (-1, 448, 378, 181), (-1, 659, 378, 100), (-1, 851, 378, 3), (-1, 389, 379, 15), (-1, 447, 379, 192), (-1, 657, 379, 101), (-1, 852, 379, 2), (-1, 390, 380, 15), (-1, 446, 380, 199), (-1, 656, 380, 100), (-1, 852, 380, 2), (-1, 391, 381, 14), (-1, 445, 381, 206), (-1, 654, 381, 100), (-1, 853, 381, 2), (-1, 392, 382, 14), (-1, 444, 382, 309), (-1, 854, 382, 1), (-1, 393, 383, 14), (-1, 443, 383, 308), (-1, 394, 384, 14), (-1, 442, 384, 308), (-1, 395, 385, 13), (-1, 441, 385, 307), (-1, 397, 386, 12), (-1, 440, 386, 307), (-1, 398, 387, 12), (-1, 439, 387, 306), (-1, 399, 388, 12), (-1, 438, 388, 306), (-1, 400, 389, 11), (-1, 437, 389, 306), (-1, 401, 390, 11), (-1, 436, 390, 306), (-1, 402, 391, 11), (-1, 435, 391, 306), (-1, 403, 392, 10), (-1, 434, 392, 306), (-1, 404, 393, 10), (-1, 433, 393, 306), (-1, 405, 394, 10), (-1, 432, 394, 306), (-1, 406, 395, 10), (-1, 431, 395, 306), (-1, 407, 396, 9), (-1, 430, 396, 306), (-1, 408, 397, 327), (-1, 409, 398, 325), (-1, 410, 399, 322), (-1, 411, 400, 320), (-1, 412, 401, 318), (-1, 413, 402, 315), (-1, 414, 403, 313), (-1, 415, 404, 312), (-1, 416, 405, 310), (-1, 417, 406, 309), (-1, 418, 407, 308), (-1, 420, 408, 305), (-1, 421, 409, 304), (-1, 422, 410, 303), (-1, 423, 411, 301), (-1, 424, 412, 300), (-1, 425, 413, 168), (-1, 614, 413, 110), (-1, 426, 414, 159), (-1, 618, 414, 105), (-1, 427, 415, 153), (-1, 622, 415, 101), (-1, 428, 416, 148), (-1, 626, 416, 97), (-1, 429, 417, 143), (-1, 630, 417, 92), (-1, 430, 418, 139), (-1, 632, 418, 90), (-1, 431, 419, 136), (-1, 633, 419, 89), (-1, 432, 420, 133), (-1, 633, 420, 88), (-1, 433, 421, 130), (-1, 633, 421, 88), (-1, 434, 422, 127), (-1, 634, 422, 87), (-1, 435, 423, 124), (-1, 634, 423, 87), (-1, 436, 424, 121), (-1, 634, 424, 87), (-1, 437, 425, 118), (-1, 635, 425, 87), (-1, 438, 426, 115), (-1, 635, 426, 87), (-1, 439, 427, 112), (-1, 635, 427, 87), (-1, 440, 428, 109), (-1, 635, 428, 87), (-1, 441, 429, 106), (-1, 636, 429, 86), (-1, 443, 430, 102), (-1, 636, 430, 86), (-1, 444, 431, 98), (-1, 636, 431, 86), (-1, 445, 432, 95), (-1, 637, 432, 86), (-1, 446, 433, 91), (-1, 637, 433, 86), (-1, 447, 434, 88), (-1, 637, 434, 86), (-1, 448, 435, 84), (-1, 638, 435, 85), (-1, 449, 436, 81), (-1, 638, 436, 85), (-1, 450, 437, 79), (-1, 638, 437, 85), (-1, 451, 438, 77), (-1, 638, 438, 85), (-1, 452, 439, 76), (-1, 638, 439, 86), (-1, 453, 440, 74), (-1, 639, 440, 85), (-1, 454, 441, 73), (-1, 639, 441, 85), (-1, 455, 442, 71), (-1, 639, 442, 85), (-1, 456, 443, 70), (-1, 639, 443, 85), (-1, 457, 444, 68), (-1, 639, 444, 86), (-1, 458, 445, 67), (-1, 639, 445, 86), (-1, 459, 446, 65), (-1, 639, 446, 86), (-1, 460, 447, 64), (-1, 640, 447, 86), (-1, 461, 448, 62), (-1, 640, 448, 86), (-1, 462, 449, 61), (-1, 640, 449, 86), (-1, 463, 450, 59), (-1, 640, 450, 87), (-1, 464, 451, 58), (-1, 640, 451, 87), (-1, 466, 452, 56), (-1, 640, 452, 87), (-1, 467, 453, 54), (-1, 640, 453, 88), (-1, 468, 454, 53), (-1, 641, 454, 87), (-1, 469, 455, 51), (-1, 641, 455, 87), (-1, 470, 456, 50), (-1, 641, 456, 88), (-1, 471, 457, 49), (-1, 641, 457, 88), (-1, 472, 458, 47), (-1, 641, 458, 88), (-1, 473, 459, 46), (-1, 642, 459, 88), (-1, 474, 460, 45), (-1, 642, 460, 88), (-1, 475, 461, 43), (-1, 642, 461, 88), (-1, 476, 462, 42), (-1, 643, 462, 88), (-1, 476, 463, 42), (-1, 643, 463, 88), (-1, 476, 464, 41), (-1, 643, 464, 88), (-1, 475, 465, 42), (-1, 644, 465, 88), (-1, 475, 466, 42), (-1, 644, 466, 88), (-1, 475, 467, 41), (-1, 645, 467, 87), (-1, 475, 468, 41), (-1, 645, 468, 87), (-1, 475, 469, 41), (-1, 645, 469, 88), (-1, 474, 470, 41), (-1, 646, 470, 87), (-1, 474, 471, 41), (-1, 646, 471, 87), (-1, 474, 472, 41), (-1, 646, 472, 87), (-1, 474, 473, 40), (-1, 647, 473, 86), (-1, 474, 474, 40), (-1, 647, 474, 86), (-1, 473, 475, 40), (-1, 647, 475, 87), (-1, 473, 476, 39), (-1, 648, 476, 86), (-1, 473, 477, 39), (-1, 648, 477, 86), (-1, 472, 478, 39), (-1, 648, 478, 86), (-1, 472, 479, 38), (-1, 649, 479, 85), (-1, 471, 480, 38), (-1, 649, 480, 85), (-1, 470, 481, 38), (-1, 649, 481, 86), (-1, 470, 482, 37), (-1, 650, 482, 85), (-1, 469, 483, 38), (-1, 650, 483, 85), (-1, 468, 484, 38), (-1, 650, 484, 85), (-1, 468, 485, 37), (-1, 651, 485, 84), (-1, 467, 486, 37), (-1, 651, 486, 84), (-1, 466, 487, 37), (-1, 652, 487, 84), (-1, 465, 488, 38), (-1, 652, 488, 84), (-1, 465, 489, 37), (-1, 652, 489, 84), (-1, 464, 490, 37), (-1, 653, 490, 83), (-1, 463, 491, 37), (-1, 653, 491, 83), (-1, 463, 492, 36), (-1, 653, 492, 84), (-1, 462, 493, 37), (-1, 654, 493, 83), (-1, 462, 494, 36), (-1, 654, 494, 83), (-1, 461, 495, 36), (-1, 654, 495, 84), (-1, 461, 496, 35), (-1, 655, 496, 83), (-1, 460, 497, 35), (-1, 655, 497, 83), (-1, 460, 498, 34), (-1, 655, 498, 84), (-1, 459, 499, 35), (-1, 656, 499, 83), (-1, 459, 500, 34), (-1, 656, 500, 83), (-1, 458, 501, 34), (-1, 656, 501, 84), (-1, 458, 502, 33), (-1, 657, 502, 83), (-1, 457, 503, 34), (-1, 657, 503, 83), (-1, 457, 504, 33), (-1, 658, 504, 83), (-1, 456, 505, 33), (-1, 658, 505, 83), (-1, 456, 506, 32), (-1, 658, 506, 83), (-1, 455, 507, 33), (-1, 659, 507, 82), (-1, 455, 508, 32), (-1, 659, 508, 82), (-1, 455, 509, 31), (-1, 659, 509, 83), (-1, 454, 510, 30), (-1, 660, 510, 82), (-1, 454, 511, 28), (-1, 660, 511, 82), (-1, 453, 512, 27), (-1, 660, 512, 82), (-1, 453, 513, 25), (-1, 661, 513, 81), (-1, 452, 514, 24), (-1, 661, 514, 81), (-1, 451, 515, 22), (-1, 661, 515, 82), (-1, 450, 516, 20), (-1, 662, 516, 81), (-1, 449, 517, 18), (-1, 662, 517, 81), (-1, 448, 518, 18), (-1, 662, 518, 81), (-1, 446, 519, 20), (-1, 663, 519, 80), (-1, 445, 520, 21), (-1, 663, 520, 80), (-1, 444, 521, 22), (-1, 663, 521, 80), (-1, 443, 522, 23), (-1, 664, 522, 80), (-1, 442, 523, 24), (-1, 664, 523, 80), (-1, 441, 524, 25), (-1, 665, 524, 79), (-1, 440, 525, 25), (-1, 665, 525, 79), (-1, 441, 526, 24), (-1, 665, 526, 79), (-1, 443, 527, 22), (-1, 666, 527, 78), (-1, 444, 528, 21), (-1, 666, 528, 79), (-1, 446, 529, 19), (-1, 666, 529, 79), (-1, 447, 530, 18), (-1, 667, 530, 78), (-1, 448, 531, 17), (-1, 667, 531, 78), (-1, 450, 532, 13), (-1, 667, 532, 79), (-1, 451, 533, 8), (-1, 668, 533, 78), (-1, 453, 534, 2), (-1, 668, 534, 78), (-1, 668, 535, 78), (-1, 669, 536, 78), (-1, 669, 537, 78), (-1, 669, 538, 78), (-1, 670, 539, 77), (-1, 670, 540, 78), (-1, 670, 541, 78), (-1, 671, 542, 77), (-1, 671, 543, 77), (-1, 672, 544, 77), (-1, 672, 545, 77), (-1, 672, 546, 77), (-1, 673, 547, 76), (-1, 673, 548, 77), (-1, 673, 549, 77), (-1, 674, 550, 76), (-1, 674, 551, 76), (-1, 674, 552, 76), (-1, 675, 553, 75), (-1, 675, 554, 76), (-1, 675, 555, 76), (-1, 676, 556, 75), (-1, 676, 557, 75), (-1, 676, 558, 75), (-1, 677, 559, 74), (-1, 677, 560, 75), (-1, 678, 561, 74), (-1, 678, 562, 74), (-1, 678, 563, 74), (-1, 679, 564, 73), (-1, 679, 565, 73), (-1, 679, 566, 73), (-1, 680, 567, 73), (-1, 680, 568, 73), (-1, 680, 569, 73), (-1, 681, 570, 72), (-1, 681, 571, 72), (-1, 681, 572, 72), (-1, 682, 573, 71), (-1, 682, 574, 71), (-1, 682, 575, 72), (-1, 683, 576, 71), (-1, 683, 577, 71), (-1, 683, 578, 71), (-1, 684, 579, 70), (-1, 684, 580, 70), (-1, 685, 581, 69), (-1, 685, 582, 70), (-1, 685, 583, 70), (-1, 686, 584, 69), (-1, 686, 585, 70), (-1, 686, 586, 70), (-1, 687, 587, 70), (-1, 687, 588, 70), (-1, 687, 589, 70), (-1, 687, 590, 71), (-1, 687, 591, 71), (-1, 687, 592, 71), (-1, 687, 593, 72), (-1, 687, 594, 72), (-1, 687, 595, 72), (-1, 687, 596, 72), (-1, 687, 597, 73), (-1, 687, 598, 73), (-1, 687, 599, 73), (-1, 687, 600, 73), (-1, 687, 601, 73), (-1, 687, 602, 74), (-1, 687, 603, 74), (-1, 687, 604, 74), (-1, 687, 605, 74), (-1, 687, 606, 74), (-1, 687, 607, 75), (-1, 687, 608, 75), (-1, 687, 609, 75), (-1, 687, 610, 75), (-1, 687, 611, 75), (-1, 687, 612, 76), (-1, 687, 613, 76), (-1, 688, 614, 75), (-1, 688, 615, 75), (-1, 689, 616, 74), (-1, 689, 617, 75), (-1, 690, 618, 74), (-1, 690, 619, 74), (-1, 691, 620, 73), (-1, 691, 621, 73), (-1, 691, 622, 73), (-1, 692, 623, 73), (-1, 692, 624, 73), (-1, 693, 625, 72), (-1, 693, 626, 72), (-1, 694, 627, 71), (-1, 694, 628, 71), (-1, 695, 629, 71), (-1, 695, 630, 71), (-1, 696, 631, 70), (-1, 696, 632, 70), (-1, 697, 633, 69), (-1, 697, 634, 69), (-1, 698, 635, 69), (-1, 698, 636, 69), (-1, 699, 637, 68), (-1, 701, 638, 66), (-1, 703, 639, 64), (-1, 705, 640, 62), (-1, 707, 641, 60), (-1, 709, 642, 59), (-1, 711, 643, 57), (-1, 714, 644, 54), (-1, 716, 645, 52), (-1, 718, 646, 50), (-1, 720, 647, 48), (-1, 722, 648, 47), (-1, 725, 649, 44), (-1, 727, 650, 42), (-1, 729, 651, 40), (-1, 731, 652, 38), (-1, 733, 653, 36), (-1, 735, 654, 35), (-1, 738, 655, 32), (-1, 740, 656, 30), (-1, 742, 657, 28), (-1, 744, 658, 26), (-1, 746, 659, 24), (-1, 749, 660, 21), (-1, 751, 661, 20), (-1, 753, 662, 18), (-1, 755, 663, 16), (-1, 757, 664, 14), (-1, 759, 665, 12), (-1, 762, 666, 9), (-1, 764, 667, 8), (-1, 766, 668, 6), (-1, 768, 669, 4), (-1, 770, 670, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 1629, 'y0': 0, 'y1': 1438, 'score': 1.0, 'id': None, 'points': ['1,1434,-2,0,134,-2,129,24,128,44,69,66,69,78,77,107,89,126,78,198,174,180,179,195,185,206,203,221,228,198,359,65,392,104,360,186,300,246,320,272,311,291,309,314,324,324,302,353,290,353,275,362,261,371,246,390,240,401,393,560,402,558,407,552,423,534,432,527,437,522,453,533,461,552,455,566,491,635,521,720,530,726,554,717,590,702,644,674,662,659,675,651,696,635,770,668,711,701,699,710,693,722,693,738,687,753,699,797,708,828,708,842,717,873,722,894,729,908,744,909,783,900,792,911,800,912,893,848,894,839,843,725,854,729,866,740,911,761,930,750,1125,731,1205,716,1211,725,1227,732,1233,725,1248,719,1268,711,1289,707,1311,693,1385,711,1416,764,1425,768,1436,776,1457,818,1463,842,1472,863,1482,888,1493,936,1478,937,1469,937,1281,1212,1283,1228,1274,1237,1263,1242,1248,1243,1241,1239,1227,1227,1215,1221,1205,1230,1191,1233,1181,1239,1184,1260,1185,1278,1188,1299,1188,1318,1196,1332,1218,1350,1230,1420,1445,1414,1433,1345,1491,1393,1488,1408,1485,1416,1626,1428,1629,1438'], 'sub_photo_id': 0, 'rles': [(-1, 0, 0, 135), (-1, 0, 1, 135), (-1, 0, 2, 135), (-1, 0, 3, 134), (-1, 0, 4, 134), (-1, 0, 5, 134), (-1, 0, 6, 134), (-1, 0, 7, 134), (-1, 0, 8, 133), (-1, 0, 9, 133), (-1, 0, 10, 133), (-1, 0, 11, 133), (-1, 0, 12, 133), (-1, 0, 13, 132), (-1, 0, 14, 132), (-1, 0, 15, 132), (-1, 0, 16, 132), (-1, 0, 17, 132), (-1, 0, 18, 131), (-1, 0, 19, 131), (-1, 0, 20, 131), (-1, 0, 21, 131), (-1, 0, 22, 131), (-1, 0, 23, 130), (-1, 0, 24, 130), (-1, 0, 25, 130), (-1, 0, 26, 130), (-1, 0, 27, 130), (-1, 0, 28, 130), (-1, 0, 29, 130), (-1, 0, 30, 130), (-1, 0, 31, 130), (-1, 0, 32, 130), (-1, 0, 33, 130), (-1, 0, 34, 130), (-1, 0, 35, 130), (-1, 0, 36, 129), (-1, 0, 37, 129), (-1, 0, 38, 129), (-1, 0, 39, 129), (-1, 0, 40, 129), (-1, 0, 41, 129), (-1, 0, 42, 129), (-1, 0, 43, 129), (-1, 0, 44, 129), (-1, 0, 45, 129), (-1, 0, 46, 127), (-1, 0, 47, 124), (-1, 0, 48, 122), (-1, 0, 49, 119), (-1, 0, 50, 116), (-1, 0, 51, 114), (-1, 0, 52, 111), (-1, 0, 53, 108), (-1, 0, 54, 106), (-1, 0, 55, 103), (-1, 0, 56, 100), (-1, 0, 57, 98), (-1, 0, 58, 95), (-1, 0, 59, 92), (-1, 0, 60, 90), (-1, 0, 61, 87), (-1, 0, 62, 84), (-1, 0, 63, 82), (-1, 0, 64, 79), (-1, 0, 65, 76), (-1, 0, 66, 74), (-1, 359, 66, 1), (-1, 0, 67, 71), (-1, 358, 67, 3), (-1, 0, 68, 70), (-1, 357, 68, 5), (-1, 0, 69, 70), (-1, 356, 69, 7), (-1, 0, 70, 70), (-1, 355, 70, 8), (-1, 0, 71, 70), (-1, 354, 71, 10), (-1, 0, 72, 70), (-1, 353, 72, 12), (-1, 0, 73, 70), (-1, 352, 73, 14), (-1, 0, 74, 70), (-1, 351, 74, 16), (-1, 0, 75, 70), (-1, 350, 75, 18), (-1, 0, 76, 70), (-1, 349, 76, 19), (-1, 0, 77, 70), (-1, 348, 77, 21), (-1, 0, 78, 70), (-1, 347, 78, 23), (-1, 0, 79, 70), (-1, 346, 79, 25), (-1, 0, 80, 70), (-1, 345, 80, 27), (-1, 0, 81, 71), (-1, 344, 81, 29), (-1, 0, 82, 71), (-1, 343, 82, 31), (-1, 0, 83, 71), (-1, 342, 83, 32), (-1, 0, 84, 71), (-1, 341, 84, 34), (-1, 0, 85, 72), (-1, 340, 85, 36), (-1, 0, 86, 72), (-1, 339, 86, 38), (-1, 0, 87, 72), (-1, 338, 87, 40), (-1, 0, 88, 72), (-1, 337, 88, 42), (-1, 0, 89, 73), (-1, 336, 89, 43), (-1, 0, 90, 73), (-1, 335, 90, 45), (-1, 0, 91, 73), (-1, 334, 91, 47), (-1, 0, 92, 74), (-1, 333, 92, 49), (-1, 0, 93, 74), (-1, 332, 93, 51), (-1, 0, 94, 74), (-1, 331, 94, 53), (-1, 0, 95, 74), (-1, 330, 95, 55), (-1, 0, 96, 75), (-1, 329, 96, 56), (-1, 0, 97, 75), (-1, 328, 97, 58), (-1, 0, 98, 75), (-1, 327, 98, 60), (-1, 0, 99, 76), (-1, 326, 99, 62), (-1, 0, 100, 76), (-1, 326, 100, 63), (-1, 0, 101, 76), (-1, 325, 101, 65), (-1, 0, 102, 76), (-1, 324, 102, 66), (-1, 0, 103, 77), (-1, 323, 103, 68), (-1, 0, 104, 77), (-1, 322, 104, 70), (-1, 0, 105, 77), (-1, 321, 105, 72), (-1, 0, 106, 77), (-1, 320, 106, 73), (-1, 0, 107, 78), (-1, 319, 107, 73), (-1, 0, 108, 78), (-1, 318, 108, 74), (-1, 0, 109, 79), (-1, 317, 109, 74), (-1, 0, 110, 79), (-1, 316, 110, 75), (-1, 0, 111, 80), (-1, 315, 111, 76), (-1, 0, 112, 81), (-1, 314, 112, 76), (-1, 0, 113, 81), (-1, 313, 113, 77), (-1, 0, 114, 82), (-1, 312, 114, 77), (-1, 0, 115, 82), (-1, 311, 115, 78), (-1, 0, 116, 83), (-1, 310, 116, 79), (-1, 0, 117, 84), (-1, 309, 117, 79), (-1, 0, 118, 84), (-1, 308, 118, 80), (-1, 0, 119, 85), (-1, 307, 119, 81), (-1, 0, 120, 86), (-1, 306, 120, 81), (-1, 0, 121, 86), (-1, 305, 121, 82), (-1, 0, 122, 87), (-1, 304, 122, 82), (-1, 0, 123, 87), (-1, 303, 123, 83), (-1, 0, 124, 88), (-1, 302, 124, 84), (-1, 0, 125, 89), (-1, 301, 125, 84), (-1, 0, 126, 89), (-1, 300, 126, 85), (-1, 0, 127, 90), (-1, 299, 127, 85), (-1, 0, 128, 90), (-1, 298, 128, 86), (-1, 0, 129, 90), (-1, 297, 129, 87), (-1, 0, 130, 90), (-1, 296, 130, 87), (-1, 0, 131, 89), (-1, 295, 131, 88), (-1, 0, 132, 89), (-1, 294, 132, 88), (-1, 0, 133, 89), (-1, 293, 133, 89), (-1, 0, 134, 89), (-1, 292, 134, 90), (-1, 0, 135, 89), (-1, 291, 135, 90), (-1, 0, 136, 89), (-1, 290, 136, 91), (-1, 0, 137, 88), (-1, 289, 137, 92), (-1, 0, 138, 88), (-1, 288, 138, 92), (-1, 0, 139, 88), (-1, 287, 139, 93), (-1, 0, 140, 88), (-1, 286, 140, 93), (-1, 0, 141, 88), (-1, 285, 141, 94), (-1, 0, 142, 88), (-1, 284, 142, 95), (-1, 0, 143, 88), (-1, 283, 143, 95), (-1, 0, 144, 87), (-1, 282, 144, 96), (-1, 0, 145, 87), (-1, 281, 145, 96), (-1, 0, 146, 87), (-1, 280, 146, 97), (-1, 0, 147, 87), (-1, 279, 147, 98), (-1, 0, 148, 87), (-1, 278, 148, 98), (-1, 0, 149, 87), (-1, 277, 149, 99), (-1, 0, 150, 86), (-1, 276, 150, 99), (-1, 0, 151, 86), (-1, 275, 151, 100), (-1, 0, 152, 86), (-1, 274, 152, 101), (-1, 0, 153, 86), (-1, 273, 153, 101), (-1, 0, 154, 86), (-1, 272, 154, 102), (-1, 0, 155, 86), (-1, 271, 155, 102), (-1, 0, 156, 86), (-1, 270, 156, 103), (-1, 0, 157, 85), (-1, 269, 157, 104), (-1, 0, 158, 85), (-1, 268, 158, 104), (-1, 0, 159, 85), (-1, 267, 159, 105), (-1, 0, 160, 85), (-1, 266, 160, 106), (-1, 0, 161, 85), (-1, 265, 161, 106), (-1, 0, 162, 85), (-1, 264, 162, 107), (-1, 0, 163, 85), (-1, 263, 163, 107), (-1, 0, 164, 84), (-1, 262, 164, 108), (-1, 0, 165, 84), (-1, 261, 165, 109), (-1, 0, 166, 84), (-1, 261, 166, 108), (-1, 0, 167, 84), (-1, 260, 167, 109), (-1, 0, 168, 84), (-1, 259, 168, 109), (-1, 0, 169, 84), (-1, 258, 169, 110), (-1, 0, 170, 83), (-1, 257, 170, 111), (-1, 0, 171, 83), (-1, 256, 171, 111), (-1, 0, 172, 83), (-1, 255, 172, 112), (-1, 0, 173, 83), (-1, 254, 173, 112), (-1, 0, 174, 83), (-1, 253, 174, 113), (-1, 0, 175, 83), (-1, 252, 175, 114), (-1, 0, 176, 83), (-1, 251, 176, 114), (-1, 0, 177, 82), (-1, 250, 177, 115), (-1, 0, 178, 82), (-1, 249, 178, 116), (-1, 0, 179, 82), (-1, 248, 179, 116), (-1, 0, 180, 82), (-1, 247, 180, 117), (-1, 0, 181, 82), (-1, 172, 181, 3), (-1, 246, 181, 117), (-1, 0, 182, 82), (-1, 166, 182, 9), (-1, 245, 182, 118), (-1, 0, 183, 81), (-1, 161, 183, 15), (-1, 244, 183, 119), (-1, 0, 184, 81), (-1, 156, 184, 20), (-1, 243, 184, 119), (-1, 0, 185, 81), (-1, 150, 185, 26), (-1, 242, 185, 120), (-1, 0, 186, 81), (-1, 145, 186, 32), (-1, 241, 186, 120), (-1, 0, 187, 81), (-1, 140, 187, 37), (-1, 240, 187, 121), (-1, 0, 188, 81), (-1, 134, 188, 43), (-1, 239, 188, 121), (-1, 0, 189, 81), (-1, 129, 189, 49), (-1, 238, 189, 121), (-1, 0, 190, 80), (-1, 124, 190, 54), (-1, 237, 190, 121), (-1, 0, 191, 80), (-1, 118, 191, 60), (-1, 236, 191, 121), (-1, 0, 192, 80), (-1, 113, 192, 66), (-1, 235, 192, 121), (-1, 0, 193, 80), (-1, 108, 193, 71), (-1, 234, 193, 121), (-1, 0, 194, 80), (-1, 102, 194, 77), (-1, 233, 194, 121), (-1, 0, 195, 80), (-1, 97, 195, 83), (-1, 232, 195, 121), (-1, 0, 196, 79), (-1, 92, 196, 88), (-1, 231, 196, 121), (-1, 0, 197, 79), (-1, 86, 197, 95), (-1, 230, 197, 121), (-1, 0, 198, 79), (-1, 81, 198, 100), (-1, 229, 198, 121), (-1, 0, 199, 182), (-1, 228, 199, 121), (-1, 0, 200, 182), (-1, 227, 200, 121), (-1, 0, 201, 183), (-1, 226, 201, 121), (-1, 0, 202, 183), (-1, 225, 202, 121), (-1, 0, 203, 184), (-1, 224, 203, 121), (-1, 0, 204, 184), (-1, 223, 204, 121), (-1, 0, 205, 185), (-1, 221, 205, 122), (-1, 0, 206, 185), (-1, 220, 206, 122), (-1, 0, 207, 186), (-1, 219, 207, 122), (-1, 0, 208, 187), (-1, 218, 208, 122), (-1, 0, 209, 188), (-1, 217, 209, 122), (-1, 0, 210, 190), (-1, 216, 210, 122), (-1, 0, 211, 191), (-1, 215, 211, 122), (-1, 0, 212, 192), (-1, 214, 212, 122), (-1, 0, 213, 193), (-1, 213, 213, 122), (-1, 0, 214, 194), (-1, 212, 214, 122), (-1, 0, 215, 196), (-1, 211, 215, 122), (-1, 0, 216, 197), (-1, 209, 216, 123), (-1, 0, 217, 198), (-1, 208, 217, 123), (-1, 0, 218, 199), (-1, 207, 218, 123), (-1, 0, 219, 200), (-1, 206, 219, 123), (-1, 0, 220, 202), (-1, 205, 220, 123), (-1, 0, 221, 203), (-1, 204, 221, 123), (-1, 0, 222, 326), (-1, 0, 223, 325), (-1, 0, 224, 324), (-1, 0, 225, 323), (-1, 0, 226, 322), (-1, 0, 227, 321), (-1, 0, 228, 320), (-1, 0, 229, 319), (-1, 0, 230, 318), (-1, 0, 231, 317), (-1, 0, 232, 316), (-1, 0, 233, 315), (-1, 0, 234, 314), (-1, 0, 235, 313), (-1, 0, 236, 312), (-1, 0, 237, 311), (-1, 0, 238, 310), (-1, 0, 239, 309), (-1, 0, 240, 308), (-1, 0, 241, 307), (-1, 0, 242, 306), (-1, 0, 243, 305), (-1, 0, 244, 304), (-1, 0, 245, 303), (-1, 0, 246, 302), (-1, 0, 247, 301), (-1, 0, 248, 302), (-1, 0, 249, 303), (-1, 0, 250, 303), (-1, 0, 251, 304), (-1, 0, 252, 305), (-1, 0, 253, 306), (-1, 0, 254, 306), (-1, 0, 255, 307), (-1, 0, 256, 308), (-1, 0, 257, 309), (-1, 0, 258, 309), (-1, 0, 259, 310), (-1, 0, 260, 311), (-1, 0, 261, 312), (-1, 0, 262, 313), (-1, 0, 263, 313), (-1, 0, 264, 314), (-1, 0, 265, 315), (-1, 0, 266, 316), (-1, 0, 267, 316), (-1, 0, 268, 317), (-1, 0, 269, 318), (-1, 0, 270, 319), (-1, 0, 271, 319), (-1, 0, 272, 320), (-1, 0, 273, 321), (-1, 0, 274, 321), (-1, 0, 275, 320), (-1, 0, 276, 320), (-1, 0, 277, 319), (-1, 0, 278, 319), (-1, 0, 279, 318), (-1, 0, 280, 318), (-1, 0, 281, 317), (-1, 0, 282, 317), (-1, 0, 283, 316), (-1, 0, 284, 316), (-1, 0, 285, 315), (-1, 0, 286, 315), (-1, 0, 287, 314), (-1, 0, 288, 314), (-1, 0, 289, 313), (-1, 0, 290, 313), (-1, 0, 291, 312), (-1, 0, 292, 312), (-1, 0, 293, 312), (-1, 0, 294, 312), (-1, 0, 295, 312), (-1, 0, 296, 312), (-1, 0, 297, 312), (-1, 0, 298, 311), (-1, 0, 299, 311), (-1, 0, 300, 311), (-1, 0, 301, 311), (-1, 0, 302, 311), (-1, 0, 303, 311), (-1, 0, 304, 311), (-1, 0, 305, 311), (-1, 0, 306, 311), (-1, 0, 307, 311), (-1, 0, 308, 311), (-1, 0, 309, 311), (-1, 0, 310, 310), (-1, 0, 311, 310), (-1, 0, 312, 310), (-1, 0, 313, 310), (-1, 0, 314, 310), (-1, 0, 315, 310), (-1, 0, 316, 312), (-1, 0, 317, 313), (-1, 0, 318, 315), (-1, 0, 319, 316), (-1, 0, 320, 318), (-1, 0, 321, 319), (-1, 0, 322, 321), (-1, 0, 323, 322), (-1, 0, 324, 324), (-1, 0, 325, 325), (-1, 0, 326, 324), (-1, 0, 327, 323), (-1, 0, 328, 323), (-1, 0, 329, 322), (-1, 0, 330, 321), (-1, 0, 331, 320), (-1, 0, 332, 320), (-1, 0, 333, 319), (-1, 0, 334, 318), (-1, 0, 335, 317), (-1, 0, 336, 317), (-1, 0, 337, 316), (-1, 0, 338, 315), (-1, 0, 339, 314), (-1, 0, 340, 314), (-1, 0, 341, 313), (-1, 0, 342, 312), (-1, 0, 343, 311), (-1, 0, 344, 311), (-1, 0, 345, 310), (-1, 0, 346, 309), (-1, 0, 347, 308), (-1, 0, 348, 308), (-1, 0, 349, 307), (-1, 0, 350, 306), (-1, 0, 351, 305), (-1, 0, 352, 305), (-1, 0, 353, 304), (-1, 0, 354, 303), (-1, 0, 355, 290), (-1, 0, 356, 288), (-1, 0, 357, 286), (-1, 0, 358, 285), (-1, 0, 359, 283), (-1, 0, 360, 281), (-1, 0, 361, 280), (-1, 0, 362, 278), (-1, 0, 363, 276), (-1, 0, 364, 275), (-1, 0, 365, 273), (-1, 0, 366, 272), (-1, 0, 367, 270), (-1, 0, 368, 268), (-1, 0, 369, 267), (-1, 0, 370, 265), (-1, 0, 371, 264), (-1, 0, 372, 262), (-1, 0, 373, 261), (-1, 0, 374, 260), (-1, 0, 375, 260), (-1, 0, 376, 259), (-1, 0, 377, 258), (-1, 0, 378, 257), (-1, 0, 379, 256), (-1, 0, 380, 256), (-1, 0, 381, 255), (-1, 0, 382, 254), (-1, 0, 383, 253), (-1, 0, 384, 253), (-1, 0, 385, 252), (-1, 0, 386, 251), (-1, 0, 387, 250), (-1, 0, 388, 249), (-1, 0, 389, 249), (-1, 0, 390, 248), (-1, 0, 391, 247), (-1, 0, 392, 246), (-1, 0, 393, 246), (-1, 0, 394, 245), (-1, 0, 395, 245), (-1, 0, 396, 244), (-1, 0, 397, 244), (-1, 0, 398, 243), (-1, 0, 399, 243), (-1, 0, 400, 242), (-1, 0, 401, 242), (-1, 0, 402, 241), (-1, 0, 403, 242), (-1, 0, 404, 243), (-1, 0, 405, 244), (-1, 0, 406, 245), (-1, 0, 407, 246), (-1, 0, 408, 247), (-1, 0, 409, 248), (-1, 0, 410, 249), (-1, 0, 411, 250), (-1, 0, 412, 251), (-1, 0, 413, 252), (-1, 0, 414, 253), (-1, 0, 415, 254), (-1, 0, 416, 254), (-1, 0, 417, 255), (-1, 0, 418, 256), (-1, 0, 419, 257), (-1, 0, 420, 258), (-1, 0, 421, 259), (-1, 0, 422, 260), (-1, 0, 423, 261), (-1, 0, 424, 262), (-1, 0, 425, 263), (-1, 0, 426, 264), (-1, 0, 427, 265), (-1, 0, 428, 266), (-1, 0, 429, 267), (-1, 0, 430, 268), (-1, 0, 431, 269), (-1, 0, 432, 270), (-1, 0, 433, 271), (-1, 0, 434, 272), (-1, 0, 435, 273), (-1, 0, 436, 274), (-1, 0, 437, 275), (-1, 0, 438, 276), (-1, 0, 439, 277), (-1, 0, 440, 278), (-1, 0, 441, 279), (-1, 0, 442, 279), (-1, 0, 443, 280), (-1, 0, 444, 281), (-1, 0, 445, 282), (-1, 0, 446, 283), (-1, 0, 447, 284), (-1, 0, 448, 285), (-1, 0, 449, 286), (-1, 0, 450, 287), (-1, 0, 451, 288), (-1, 0, 452, 289), (-1, 0, 453, 290), (-1, 0, 454, 291), (-1, 0, 455, 292), (-1, 0, 456, 293), (-1, 0, 457, 294), (-1, 0, 458, 295), (-1, 0, 459, 296), (-1, 0, 460, 297), (-1, 0, 461, 298), (-1, 0, 462, 299), (-1, 0, 463, 300), (-1, 0, 464, 301), (-1, 0, 465, 302), (-1, 0, 466, 303), (-1, 0, 467, 304), (-1, 0, 468, 305), (-1, 0, 469, 305), (-1, 0, 470, 306), (-1, 0, 471, 307), (-1, 0, 472, 308), (-1, 0, 473, 309), (-1, 0, 474, 310), (-1, 0, 475, 311), (-1, 0, 476, 312), (-1, 0, 477, 313), (-1, 0, 478, 314), (-1, 0, 479, 315), (-1, 0, 480, 316), (-1, 0, 481, 317), (-1, 0, 482, 318), (-1, 0, 483, 319), (-1, 0, 484, 320), (-1, 0, 485, 321), (-1, 0, 486, 322), (-1, 0, 487, 323), (-1, 0, 488, 324), (-1, 0, 489, 325), (-1, 0, 490, 326), (-1, 0, 491, 327), (-1, 0, 492, 328), (-1, 0, 493, 329), (-1, 0, 494, 330), (-1, 0, 495, 330), (-1, 0, 496, 331), (-1, 0, 497, 332), (-1, 0, 498, 333), (-1, 0, 499, 334), (-1, 0, 500, 335), (-1, 0, 501, 336), (-1, 0, 502, 337), (-1, 0, 503, 338), (-1, 0, 504, 339), (-1, 0, 505, 340), (-1, 0, 506, 341), (-1, 0, 507, 342), (-1, 0, 508, 343), (-1, 0, 509, 344), (-1, 0, 510, 345), (-1, 0, 511, 346), (-1, 0, 512, 347), (-1, 0, 513, 348), (-1, 0, 514, 349), (-1, 0, 515, 350), (-1, 0, 516, 351), (-1, 0, 517, 352), (-1, 0, 518, 353), (-1, 0, 519, 354), (-1, 0, 520, 355), (-1, 0, 521, 356), (-1, 0, 522, 356), (-1, 0, 523, 357), (-1, 437, 523, 1), (-1, 0, 524, 358), (-1, 436, 524, 4), (-1, 0, 525, 359), (-1, 435, 525, 6), (-1, 0, 526, 360), (-1, 434, 526, 9), (-1, 0, 527, 361), (-1, 433, 527, 11), (-1, 0, 528, 362), (-1, 432, 528, 13), (-1, 0, 529, 363), (-1, 431, 529, 16), (-1, 0, 530, 364), (-1, 429, 530, 19), (-1, 0, 531, 365), (-1, 428, 531, 22), (-1, 0, 532, 366), (-1, 427, 532, 24), (-1, 0, 533, 367), (-1, 425, 533, 28), (-1, 0, 534, 368), (-1, 424, 534, 30), (-1, 0, 535, 369), (-1, 423, 535, 31), (-1, 0, 536, 370), (-1, 422, 536, 33), (-1, 0, 537, 371), (-1, 421, 537, 34), (-1, 0, 538, 372), (-1, 420, 538, 36), (-1, 0, 539, 373), (-1, 419, 539, 37), (-1, 0, 540, 374), (-1, 419, 540, 38), (-1, 0, 541, 375), (-1, 418, 541, 39), (-1, 0, 542, 376), (-1, 417, 542, 40), (-1, 0, 543, 377), (-1, 416, 543, 42), (-1, 0, 544, 378), (-1, 415, 544, 43), (-1, 0, 545, 379), (-1, 414, 545, 45), (-1, 0, 546, 380), (-1, 413, 546, 46), (-1, 0, 547, 381), (-1, 412, 547, 47), (-1, 0, 548, 381), (-1, 411, 548, 49), (-1, 0, 549, 382), (-1, 411, 549, 49), (-1, 0, 550, 383), (-1, 410, 550, 51), (-1, 0, 551, 384), (-1, 409, 551, 52), (-1, 0, 552, 385), (-1, 408, 552, 54), (-1, 0, 553, 386), (-1, 407, 553, 55), (-1, 0, 554, 387), (-1, 406, 554, 56), (-1, 0, 555, 388), (-1, 405, 555, 56), (-1, 0, 556, 389), (-1, 405, 556, 56), (-1, 0, 557, 390), (-1, 404, 557, 56), (-1, 0, 558, 391), (-1, 403, 558, 57), (-1, 0, 559, 392), (-1, 400, 559, 59), (-1, 0, 560, 393), (-1, 396, 560, 63), (-1, 0, 561, 459), (-1, 0, 562, 458), (-1, 0, 563, 458), (-1, 0, 564, 457), (-1, 0, 565, 457), (-1, 0, 566, 456), (-1, 0, 567, 456), (-1, 0, 568, 457), (-1, 0, 569, 457), (-1, 0, 570, 458), (-1, 0, 571, 458), (-1, 0, 572, 459), (-1, 0, 573, 459), (-1, 0, 574, 460), (-1, 0, 575, 460), (-1, 0, 576, 461), (-1, 0, 577, 461), (-1, 0, 578, 462), (-1, 0, 579, 462), (-1, 0, 580, 463), (-1, 0, 581, 463), (-1, 0, 582, 464), (-1, 0, 583, 464), (-1, 0, 584, 465), (-1, 0, 585, 465), (-1, 0, 586, 466), (-1, 0, 587, 466), (-1, 0, 588, 467), (-1, 0, 589, 467), (-1, 0, 590, 468), (-1, 0, 591, 469), (-1, 0, 592, 469), (-1, 0, 593, 470), (-1, 0, 594, 470), (-1, 0, 595, 471), (-1, 0, 596, 471), (-1, 0, 597, 472), (-1, 0, 598, 472), (-1, 0, 599, 473), (-1, 0, 600, 473), (-1, 0, 601, 474), (-1, 0, 602, 474), (-1, 0, 603, 475), (-1, 0, 604, 475), (-1, 0, 605, 476), (-1, 0, 606, 476), (-1, 0, 607, 477), (-1, 0, 608, 477), (-1, 0, 609, 478), (-1, 0, 610, 478), (-1, 0, 611, 479), (-1, 0, 612, 479), (-1, 0, 613, 480), (-1, 0, 614, 481), (-1, 0, 615, 481), (-1, 0, 616, 482), (-1, 0, 617, 482), (-1, 0, 618, 483), (-1, 0, 619, 483), (-1, 0, 620, 484), (-1, 0, 621, 484), (-1, 0, 622, 485), (-1, 0, 623, 485), (-1, 0, 624, 486), (-1, 0, 625, 486), (-1, 0, 626, 487), (-1, 0, 627, 487), (-1, 0, 628, 488), (-1, 0, 629, 488), (-1, 0, 630, 489), (-1, 0, 631, 489), (-1, 0, 632, 490), (-1, 0, 633, 490), (-1, 0, 634, 491), (-1, 0, 635, 491), (-1, 0, 636, 492), (-1, 696, 636, 2), (-1, 0, 637, 492), (-1, 695, 637, 5), (-1, 0, 638, 493), (-1, 693, 638, 9), (-1, 0, 639, 493), (-1, 692, 639, 12), (-1, 0, 640, 493), (-1, 691, 640, 16), (-1, 0, 641, 494), (-1, 689, 641, 20), (-1, 0, 642, 494), (-1, 688, 642, 23), (-1, 0, 643, 494), (-1, 687, 643, 26), (-1, 0, 644, 495), (-1, 685, 644, 31), (-1, 0, 645, 495), (-1, 684, 645, 34), (-1, 0, 646, 496), (-1, 683, 646, 37), (-1, 0, 647, 496), (-1, 681, 647, 41), (-1, 0, 648, 496), (-1, 680, 648, 45), (-1, 0, 649, 497), (-1, 679, 649, 48), (-1, 0, 650, 497), (-1, 677, 650, 52), (-1, 0, 651, 497), (-1, 676, 651, 55), (-1, 0, 652, 498), (-1, 675, 652, 58), (-1, 0, 653, 498), (-1, 673, 653, 63), (-1, 0, 654, 498), (-1, 671, 654, 67), (-1, 0, 655, 499), (-1, 670, 655, 70), (-1, 0, 656, 499), (-1, 668, 656, 74), (-1, 0, 657, 499), (-1, 667, 657, 78), (-1, 0, 658, 500), (-1, 665, 658, 82), (-1, 0, 659, 500), (-1, 663, 659, 86), (-1, 0, 660, 500), (-1, 662, 660, 89), (-1, 0, 661, 501), (-1, 661, 661, 93), (-1, 0, 662, 501), (-1, 659, 662, 97), (-1, 0, 663, 502), (-1, 658, 663, 100), (-1, 0, 664, 502), (-1, 657, 664, 103), (-1, 0, 665, 502), (-1, 656, 665, 107), (-1, 0, 666, 503), (-1, 655, 666, 110), (-1, 0, 667, 503), (-1, 653, 667, 114), (-1, 0, 668, 503), (-1, 652, 668, 117), (-1, 0, 669, 504), (-1, 651, 669, 120), (-1, 0, 670, 504), (-1, 650, 670, 120), (-1, 0, 671, 504), (-1, 649, 671, 119), (-1, 0, 672, 505), (-1, 647, 672, 119), (-1, 0, 673, 505), (-1, 646, 673, 118), (-1, 0, 674, 505), (-1, 645, 674, 117), (-1, 0, 675, 506), (-1, 644, 675, 117), (-1, 0, 676, 506), (-1, 642, 676, 117), (-1, 0, 677, 506), (-1, 640, 677, 117), (-1, 0, 678, 507), (-1, 638, 678, 117), (-1, 0, 679, 507), (-1, 636, 679, 118), (-1, 0, 680, 508), (-1, 634, 680, 118), (-1, 0, 681, 508), (-1, 632, 681, 118), (-1, 0, 682, 508), (-1, 630, 682, 118), (-1, 0, 683, 509), (-1, 628, 683, 118), (-1, 0, 684, 509), (-1, 626, 684, 119), (-1, 0, 685, 509), (-1, 624, 685, 119), (-1, 0, 686, 510), (-1, 622, 686, 119), (-1, 0, 687, 510), (-1, 620, 687, 119), (-1, 0, 688, 510), (-1, 618, 688, 119), (-1, 0, 689, 511), (-1, 617, 689, 119), (-1, 0, 690, 511), (-1, 615, 690, 119), (-1, 0, 691, 511), (-1, 613, 691, 119), (-1, 0, 692, 512), (-1, 611, 692, 119), (-1, 0, 693, 512), (-1, 609, 693, 119), (-1, 0, 694, 512), (-1, 607, 694, 120), (-1, 1311, 694, 3), (-1, 0, 695, 513), (-1, 605, 695, 120), (-1, 1309, 695, 9), (-1, 0, 696, 513), (-1, 603, 696, 120), (-1, 1308, 696, 14), (-1, 0, 697, 514), (-1, 601, 697, 120), (-1, 1306, 697, 20), (-1, 0, 698, 514), (-1, 599, 698, 121), (-1, 1304, 698, 26), (-1, 0, 699, 514), (-1, 597, 699, 121), (-1, 1303, 699, 31), (-1, 0, 700, 515), (-1, 595, 700, 121), (-1, 1301, 700, 37), (-1, 0, 701, 515), (-1, 593, 701, 121), (-1, 1300, 701, 42), (-1, 0, 702, 515), (-1, 591, 702, 121), (-1, 1298, 702, 48), (-1, 0, 703, 516), (-1, 589, 703, 122), (-1, 1297, 703, 54), (-1, 0, 704, 516), (-1, 587, 704, 122), (-1, 1295, 704, 60), (-1, 0, 705, 516), (-1, 584, 705, 124), (-1, 1293, 705, 66), (-1, 0, 706, 517), (-1, 582, 706, 125), (-1, 1292, 706, 71), (-1, 0, 707, 517), (-1, 580, 707, 125), (-1, 1290, 707, 77), (-1, 0, 708, 517), (-1, 577, 708, 127), (-1, 1287, 708, 84), (-1, 0, 709, 518), (-1, 575, 709, 128), (-1, 1282, 709, 93), (-1, 0, 710, 518), (-1, 572, 710, 129), (-1, 1276, 710, 103), (-1, 0, 711, 518), (-1, 570, 711, 130), (-1, 1271, 711, 112), (-1, 0, 712, 519), (-1, 568, 712, 132), (-1, 1267, 712, 119), (-1, 0, 713, 519), (-1, 565, 713, 134), (-1, 1265, 713, 122), (-1, 0, 714, 520), (-1, 563, 714, 136), (-1, 1262, 714, 125), (-1, 0, 715, 520), (-1, 560, 715, 138), (-1, 1260, 715, 128), (-1, 0, 716, 520), (-1, 558, 716, 140), (-1, 1257, 716, 131), (-1, 0, 717, 521), (-1, 556, 717, 141), (-1, 1203, 717, 3), (-1, 1255, 717, 134), (-1, 0, 718, 521), (-1, 553, 718, 144), (-1, 1197, 718, 10), (-1, 1252, 718, 138), (-1, 0, 719, 521), (-1, 550, 719, 146), (-1, 1192, 719, 15), (-1, 1250, 719, 140), (-1, 0, 720, 522), (-1, 548, 720, 148), (-1, 1187, 720, 21), (-1, 1247, 720, 144), (-1, 0, 721, 522), (-1, 545, 721, 150), (-1, 1181, 721, 28), (-1, 1245, 721, 146), (-1, 0, 722, 524), (-1, 542, 722, 153), (-1, 1176, 722, 33), (-1, 1242, 722, 150), (-1, 0, 723, 525), (-1, 540, 723, 154), (-1, 1171, 723, 39), (-1, 1240, 723, 152), (-1, 0, 724, 527), (-1, 537, 724, 157), (-1, 1165, 724, 46), (-1, 1237, 724, 156), (-1, 0, 725, 528), (-1, 534, 725, 160), (-1, 1160, 725, 51), (-1, 1235, 725, 159), (-1, 0, 726, 530), (-1, 532, 726, 162), (-1, 843, 726, 2), (-1, 1155, 726, 58), (-1, 1233, 726, 161), (-1, 0, 727, 694), (-1, 843, 727, 5), (-1, 1149, 727, 66), (-1, 1232, 727, 163), (-1, 0, 728, 694), (-1, 844, 728, 6), (-1, 1144, 728, 73), (-1, 1231, 728, 164), (-1, 0, 729, 694), (-1, 844, 729, 9), (-1, 1139, 729, 80), (-1, 1230, 729, 166), (-1, 0, 730, 694), (-1, 845, 730, 10), (-1, 1133, 730, 89), (-1, 1230, 730, 167), (-1, 0, 731, 694), (-1, 845, 731, 11), (-1, 1128, 731, 96), (-1, 1229, 731, 168), (-1, 0, 732, 694), (-1, 846, 732, 11), (-1, 1120, 732, 106), (-1, 1228, 732, 170), (-1, 0, 733, 694), (-1, 846, 733, 12), (-1, 1110, 733, 288), (-1, 0, 734, 694), (-1, 847, 734, 12), (-1, 1100, 734, 299), (-1, 0, 735, 694), (-1, 847, 735, 13), (-1, 1090, 735, 309), (-1, 0, 736, 694), (-1, 847, 736, 15), (-1, 1079, 736, 321), (-1, 0, 737, 694), (-1, 848, 737, 15), (-1, 1069, 737, 332), (-1, 0, 738, 694), (-1, 848, 738, 16), (-1, 1059, 738, 342), (-1, 0, 739, 694), (-1, 849, 739, 16), (-1, 1049, 739, 353), (-1, 0, 740, 694), (-1, 849, 740, 17), (-1, 1038, 740, 364), (-1, 0, 741, 693), (-1, 850, 741, 18), (-1, 1028, 741, 375), (-1, 0, 742, 693), (-1, 850, 742, 20), (-1, 1018, 742, 386), (-1, 0, 743, 692), (-1, 851, 743, 21), (-1, 1007, 743, 397), (-1, 0, 744, 692), (-1, 851, 744, 23), (-1, 997, 744, 408), (-1, 0, 745, 692), (-1, 852, 745, 24), (-1, 987, 745, 418), (-1, 0, 746, 691), (-1, 852, 746, 26), (-1, 977, 746, 429), (-1, 0, 747, 691), (-1, 852, 747, 28), (-1, 966, 747, 440), (-1, 0, 748, 690), (-1, 853, 748, 30), (-1, 956, 748, 451), (-1, 0, 749, 690), (-1, 853, 749, 32), (-1, 946, 749, 462), (-1, 0, 750, 690), (-1, 854, 750, 33), (-1, 936, 750, 472), (-1, 0, 751, 689), (-1, 854, 751, 35), (-1, 930, 751, 479), (-1, 0, 752, 689), (-1, 855, 752, 36), (-1, 928, 752, 481), (-1, 0, 753, 688), (-1, 855, 753, 38), (-1, 926, 753, 484), (-1, 0, 754, 688), (-1, 856, 754, 39), (-1, 924, 754, 487), (-1, 0, 755, 688), (-1, 856, 755, 42), (-1, 923, 755, 488), (-1, 0, 756, 689), (-1, 856, 756, 44), (-1, 921, 756, 491), (-1, 0, 757, 689), (-1, 857, 757, 45), (-1, 919, 757, 493), (-1, 0, 758, 689), (-1, 857, 758, 47), (-1, 918, 758, 495), (-1, 0, 759, 689), (-1, 858, 759, 48), (-1, 916, 759, 497), (-1, 0, 760, 690), (-1, 858, 760, 50), (-1, 914, 760, 500), (-1, 0, 761, 690), (-1, 859, 761, 51), (-1, 912, 761, 503), (-1, 0, 762, 690), (-1, 859, 762, 556), (-1, 0, 763, 690), (-1, 860, 763, 556), (-1, 0, 764, 691), (-1, 860, 764, 556), (-1, 0, 765, 691), (-1, 860, 765, 558), (-1, 0, 766, 691), (-1, 861, 766, 559), (-1, 0, 767, 692), (-1, 861, 767, 561), (-1, 0, 768, 692), (-1, 862, 768, 562), (-1, 0, 769, 692), (-1, 862, 769, 564), (-1, 0, 770, 692), (-1, 863, 770, 565), (-1, 0, 771, 693), (-1, 863, 771, 566), (-1, 0, 772, 693), (-1, 864, 772, 566), (-1, 0, 773, 693), (-1, 864, 773, 568), (-1, 0, 774, 693), (-1, 864, 774, 569), (-1, 0, 775, 694), (-1, 865, 775, 569), (-1, 0, 776, 694), (-1, 865, 776, 571), (-1, 0, 777, 694), (-1, 866, 777, 571), (-1, 0, 778, 695), (-1, 866, 778, 572), (-1, 0, 779, 695), (-1, 867, 779, 571), (-1, 0, 780, 695), (-1, 867, 780, 572), (-1, 0, 781, 695), (-1, 868, 781, 571), (-1, 0, 782, 696), (-1, 868, 782, 572), (-1, 0, 783, 696), (-1, 869, 783, 571), (-1, 0, 784, 696), (-1, 869, 784, 572), (-1, 0, 785, 696), (-1, 869, 785, 572), (-1, 0, 786, 697), (-1, 870, 786, 572), (-1, 0, 787, 697), (-1, 870, 787, 572), (-1, 0, 788, 697), (-1, 871, 788, 572), (-1, 0, 789, 698), (-1, 871, 789, 572), (-1, 0, 790, 698), (-1, 872, 790, 572), (-1, 0, 791, 698), (-1, 872, 791, 572), (-1, 0, 792, 698), (-1, 873, 792, 572), (-1, 0, 793, 699), (-1, 873, 793, 572), (-1, 0, 794, 699), (-1, 873, 794, 573), (-1, 0, 795, 699), (-1, 874, 795, 572), (-1, 0, 796, 699), (-1, 874, 796, 573), (-1, 0, 797, 700), (-1, 875, 797, 572), (-1, 0, 798, 700), (-1, 875, 798, 573), (-1, 0, 799, 700), (-1, 876, 799, 572), (-1, 0, 800, 701), (-1, 876, 800, 573), (-1, 0, 801, 701), (-1, 877, 801, 572), (-1, 0, 802, 701), (-1, 877, 802, 573), (-1, 0, 803, 701), (-1, 877, 803, 573), (-1, 0, 804, 702), (-1, 878, 804, 573), (-1, 0, 805, 702), (-1, 878, 805, 573), (-1, 0, 806, 702), (-1, 879, 806, 573), (-1, 0, 807, 703), (-1, 879, 807, 573), (-1, 0, 808, 703), (-1, 880, 808, 573), (-1, 0, 809, 703), (-1, 880, 809, 573), (-1, 0, 810, 703), (-1, 881, 810, 573), (-1, 0, 811, 704), (-1, 881, 811, 573), (-1, 0, 812, 704), (-1, 881, 812, 574), (-1, 0, 813, 704), (-1, 882, 813, 573), (-1, 0, 814, 705), (-1, 882, 814, 574), (-1, 0, 815, 705), (-1, 883, 815, 573), (-1, 0, 816, 705), (-1, 883, 816, 574), (-1, 0, 817, 706), (-1, 884, 817, 573), (-1, 0, 818, 706), (-1, 884, 818, 574), (-1, 0, 819, 706), (-1, 885, 819, 573), (-1, 0, 820, 706), (-1, 885, 820, 573), (-1, 0, 821, 707), (-1, 886, 821, 573), (-1, 0, 822, 707), (-1, 886, 822, 573), (-1, 0, 823, 707), (-1, 886, 823, 573), (-1, 0, 824, 708), (-1, 887, 824, 572), (-1, 0, 825, 708), (-1, 887, 825, 573), (-1, 0, 826, 708), (-1, 888, 826, 572), (-1, 0, 827, 708), (-1, 888, 827, 572), (-1, 0, 828, 709), (-1, 889, 828, 571), (-1, 0, 829, 709), (-1, 889, 829, 572), (-1, 0, 830, 709), (-1, 890, 830, 571), (-1, 0, 831, 709), (-1, 890, 831, 571), (-1, 0, 832, 709), (-1, 890, 832, 571), (-1, 0, 833, 709), (-1, 891, 833, 571), (-1, 0, 834, 709), (-1, 891, 834, 571), (-1, 0, 835, 709), (-1, 892, 835, 570), (-1, 0, 836, 709), (-1, 892, 836, 570), (-1, 0, 837, 709), (-1, 893, 837, 570), (-1, 0, 838, 709), (-1, 893, 838, 570), (-1, 0, 839, 709), (-1, 894, 839, 569), (-1, 0, 840, 709), (-1, 894, 840, 569), (-1, 0, 841, 709), (-1, 894, 841, 570), (-1, 0, 842, 709), (-1, 894, 842, 570), (-1, 0, 843, 709), (-1, 894, 843, 570), (-1, 0, 844, 709), (-1, 894, 844, 570), (-1, 0, 845, 710), (-1, 893, 845, 572), (-1, 0, 846, 710), (-1, 893, 846, 572), (-1, 0, 847, 710), (-1, 893, 847, 573), (-1, 0, 848, 710), (-1, 893, 848, 573), (-1, 0, 849, 711), (-1, 893, 849, 574), (-1, 0, 850, 711), (-1, 891, 850, 576), (-1, 0, 851, 711), (-1, 890, 851, 577), (-1, 0, 852, 712), (-1, 888, 852, 580), (-1, 0, 853, 712), (-1, 887, 853, 581), (-1, 0, 854, 712), (-1, 886, 854, 583), (-1, 0, 855, 712), (-1, 884, 855, 585), (-1, 0, 856, 713), (-1, 883, 856, 587), (-1, 0, 857, 713), (-1, 881, 857, 589), (-1, 0, 858, 713), (-1, 880, 858, 590), (-1, 0, 859, 714), (-1, 878, 859, 593), (-1, 0, 860, 714), (-1, 877, 860, 594), (-1, 0, 861, 714), (-1, 875, 861, 597), (-1, 0, 862, 715), (-1, 874, 862, 598), (-1, 0, 863, 715), (-1, 872, 863, 601), (-1, 0, 864, 715), (-1, 871, 864, 602), (-1, 0, 865, 715), (-1, 870, 865, 603), (-1, 0, 866, 716), (-1, 868, 866, 606), (-1, 0, 867, 716), (-1, 867, 867, 607), (-1, 0, 868, 716), (-1, 865, 868, 610), (-1, 0, 869, 717), (-1, 864, 869, 611), (-1, 0, 870, 717), (-1, 862, 870, 613), (-1, 0, 871, 717), (-1, 861, 871, 615), (-1, 0, 872, 717), (-1, 859, 872, 617), (-1, 0, 873, 718), (-1, 858, 873, 619), (-1, 0, 874, 718), (-1, 856, 874, 621), (-1, 0, 875, 718), (-1, 855, 875, 622), (-1, 0, 876, 718), (-1, 854, 876, 624), (-1, 0, 877, 719), (-1, 852, 877, 626), (-1, 0, 878, 719), (-1, 851, 878, 628), (-1, 0, 879, 719), (-1, 849, 879, 630), (-1, 0, 880, 719), (-1, 848, 880, 631), (-1, 0, 881, 720), (-1, 846, 881, 634), (-1, 0, 882, 720), (-1, 845, 882, 635), (-1, 0, 883, 720), (-1, 843, 883, 638), (-1, 0, 884, 720), (-1, 842, 884, 639), (-1, 0, 885, 721), (-1, 840, 885, 641), (-1, 0, 886, 721), (-1, 839, 886, 643), (-1, 0, 887, 721), (-1, 838, 887, 644), (-1, 0, 888, 721), (-1, 836, 888, 647), (-1, 0, 889, 722), (-1, 835, 889, 648), (-1, 0, 890, 722), (-1, 833, 890, 650), (-1, 0, 891, 722), (-1, 832, 891, 651), (-1, 0, 892, 722), (-1, 830, 892, 654), (-1, 0, 893, 723), (-1, 829, 893, 655), (-1, 0, 894, 723), (-1, 827, 894, 657), (-1, 0, 895, 723), (-1, 826, 895, 658), (-1, 0, 896, 724), (-1, 824, 896, 661), (-1, 0, 897, 724), (-1, 823, 897, 662), (-1, 0, 898, 725), (-1, 822, 898, 663), (-1, 0, 899, 725), (-1, 820, 899, 665), (-1, 0, 900, 726), (-1, 819, 900, 667), (-1, 0, 901, 726), (-1, 781, 901, 3), (-1, 817, 901, 669), (-1, 0, 902, 727), (-1, 777, 902, 8), (-1, 816, 902, 670), (-1, 0, 903, 727), (-1, 773, 903, 13), (-1, 814, 903, 672), (-1, 0, 904, 728), (-1, 768, 904, 18), (-1, 813, 904, 674), (-1, 0, 905, 728), (-1, 764, 905, 23), (-1, 811, 905, 676), (-1, 0, 906, 729), (-1, 760, 906, 28), (-1, 810, 906, 677), (-1, 0, 907, 729), (-1, 755, 907, 34), (-1, 808, 907, 679), (-1, 0, 908, 730), (-1, 751, 908, 39), (-1, 807, 908, 680), (-1, 0, 909, 737), (-1, 747, 909, 44), (-1, 806, 909, 682), (-1, 0, 910, 791), (-1, 804, 910, 684), (-1, 0, 911, 792), (-1, 803, 911, 685), (-1, 0, 912, 796), (-1, 801, 912, 687), (-1, 0, 913, 1489), (-1, 0, 914, 1489), (-1, 0, 915, 1489), (-1, 0, 916, 1489), (-1, 0, 917, 1490), (-1, 0, 918, 1490), (-1, 0, 919, 1490), (-1, 0, 920, 1490), (-1, 0, 921, 1490), (-1, 0, 922, 1491), (-1, 0, 923, 1491), (-1, 0, 924, 1491), (-1, 0, 925, 1491), (-1, 0, 926, 1492), (-1, 0, 927, 1492), (-1, 0, 928, 1492), (-1, 0, 929, 1492), (-1, 0, 930, 1493), (-1, 0, 931, 1493), (-1, 0, 932, 1493), (-1, 0, 933, 1493), (-1, 0, 934, 1494), (-1, 0, 935, 1494), (-1, 0, 936, 1494), (-1, 0, 937, 1486), (-1, 0, 938, 1469), (-1, 0, 939, 1469), (-1, 0, 940, 1468), (-1, 0, 941, 1467), (-1, 0, 942, 1467), (-1, 0, 943, 1466), (-1, 0, 944, 1465), (-1, 0, 945, 1465), (-1, 0, 946, 1464), (-1, 0, 947, 1463), (-1, 0, 948, 1462), (-1, 0, 949, 1462), (-1, 0, 950, 1461), (-1, 0, 951, 1460), (-1, 0, 952, 1460), (-1, 0, 953, 1459), (-1, 0, 954, 1458), (-1, 0, 955, 1458), (-1, 0, 956, 1457), (-1, 0, 957, 1456), (-1, 0, 958, 1456), (-1, 0, 959, 1455), (-1, 0, 960, 1454), (-1, 0, 961, 1454), (-1, 0, 962, 1453), (-1, 0, 963, 1452), (-1, 0, 964, 1452), (-1, 0, 965, 1451), (-1, 0, 966, 1450), (-1, 0, 967, 1449), (-1, 0, 968, 1449), (-1, 0, 969, 1448), (-1, 0, 970, 1447), (-1, 0, 971, 1447), (-1, 0, 972, 1446), (-1, 0, 973, 1445), (-1, 0, 974, 1445), (-1, 0, 975, 1444), (-1, 0, 976, 1443), (-1, 0, 977, 1443), (-1, 0, 978, 1442), (-1, 0, 979, 1441), (-1, 0, 980, 1441), (-1, 0, 981, 1440), (-1, 0, 982, 1439), (-1, 0, 983, 1439), (-1, 0, 984, 1438), (-1, 0, 985, 1437), (-1, 0, 986, 1437), (-1, 0, 987, 1436), (-1, 0, 988, 1435), (-1, 0, 989, 1434), (-1, 0, 990, 1434), (-1, 0, 991, 1433), (-1, 0, 992, 1432), (-1, 0, 993, 1432), (-1, 0, 994, 1431), (-1, 0, 995, 1430), (-1, 0, 996, 1430), (-1, 0, 997, 1429), (-1, 0, 998, 1428), (-1, 0, 999, 1428), (-1, 0, 1000, 1427), (-1, 0, 1001, 1426), (-1, 0, 1002, 1426), (-1, 0, 1003, 1425), (-1, 0, 1004, 1424), (-1, 0, 1005, 1424), (-1, 0, 1006, 1423), (-1, 0, 1007, 1422), (-1, 0, 1008, 1421), (-1, 0, 1009, 1421), (-1, 0, 1010, 1420), (-1, 0, 1011, 1419), (-1, 0, 1012, 1419), (-1, 0, 1013, 1418), (-1, 0, 1014, 1417), (-1, 0, 1015, 1417), (-1, 0, 1016, 1416), (-1, 0, 1017, 1415), (-1, 0, 1018, 1415), (-1, 0, 1019, 1414), (-1, 0, 1020, 1413), (-1, 0, 1021, 1413), (-1, 0, 1022, 1412), (-1, 0, 1023, 1411), (-1, 0, 1024, 1411), (-1, 0, 1025, 1410), (-1, 0, 1026, 1409), (-1, 0, 1027, 1408), (-1, 0, 1028, 1408), (-1, 0, 1029, 1407), (-1, 0, 1030, 1406), (-1, 0, 1031, 1406), (-1, 0, 1032, 1405), (-1, 0, 1033, 1404), (-1, 0, 1034, 1404), (-1, 0, 1035, 1403), (-1, 0, 1036, 1402), (-1, 0, 1037, 1402), (-1, 0, 1038, 1401), (-1, 0, 1039, 1400), (-1, 0, 1040, 1400), (-1, 0, 1041, 1399), (-1, 0, 1042, 1398), (-1, 0, 1043, 1398), (-1, 0, 1044, 1397), (-1, 0, 1045, 1396), (-1, 0, 1046, 1395), (-1, 0, 1047, 1395), (-1, 0, 1048, 1394), (-1, 0, 1049, 1393), (-1, 0, 1050, 1393), (-1, 0, 1051, 1392), (-1, 0, 1052, 1391), (-1, 0, 1053, 1391), (-1, 0, 1054, 1390), (-1, 0, 1055, 1389), (-1, 0, 1056, 1389), (-1, 0, 1057, 1388), (-1, 0, 1058, 1387), (-1, 0, 1059, 1387), (-1, 0, 1060, 1386), (-1, 0, 1061, 1385), (-1, 0, 1062, 1385), (-1, 0, 1063, 1384), (-1, 0, 1064, 1383), (-1, 0, 1065, 1382), (-1, 0, 1066, 1382), (-1, 0, 1067, 1381), (-1, 0, 1068, 1380), (-1, 0, 1069, 1380), (-1, 0, 1070, 1379), (-1, 0, 1071, 1378), (-1, 0, 1072, 1378), (-1, 0, 1073, 1377), (-1, 0, 1074, 1376), (-1, 0, 1075, 1376), (-1, 0, 1076, 1375), (-1, 0, 1077, 1374), (-1, 0, 1078, 1374), (-1, 0, 1079, 1373), (-1, 0, 1080, 1372), (-1, 0, 1081, 1372), (-1, 0, 1082, 1371), (-1, 0, 1083, 1370), (-1, 0, 1084, 1370), (-1, 0, 1085, 1369), (-1, 0, 1086, 1368), (-1, 0, 1087, 1367), (-1, 0, 1088, 1367), (-1, 0, 1089, 1366), (-1, 0, 1090, 1365), (-1, 0, 1091, 1365), (-1, 0, 1092, 1364), (-1, 0, 1093, 1363), (-1, 0, 1094, 1363), (-1, 0, 1095, 1362), (-1, 0, 1096, 1361), (-1, 0, 1097, 1361), (-1, 0, 1098, 1360), (-1, 0, 1099, 1359), (-1, 0, 1100, 1359), (-1, 0, 1101, 1358), (-1, 0, 1102, 1357), (-1, 0, 1103, 1357), (-1, 0, 1104, 1356), (-1, 0, 1105, 1355), (-1, 0, 1106, 1354), (-1, 0, 1107, 1354), (-1, 0, 1108, 1353), (-1, 0, 1109, 1352), (-1, 0, 1110, 1352), (-1, 0, 1111, 1351), (-1, 0, 1112, 1350), (-1, 0, 1113, 1350), (-1, 0, 1114, 1349), (-1, 0, 1115, 1348), (-1, 0, 1116, 1348), (-1, 0, 1117, 1347), (-1, 0, 1118, 1346), (-1, 0, 1119, 1346), (-1, 0, 1120, 1345), (-1, 0, 1121, 1344), (-1, 0, 1122, 1344), (-1, 0, 1123, 1343), (-1, 0, 1124, 1342), (-1, 0, 1125, 1341), (-1, 0, 1126, 1341), (-1, 0, 1127, 1340), (-1, 0, 1128, 1339), (-1, 0, 1129, 1339), (-1, 0, 1130, 1338), (-1, 0, 1131, 1337), (-1, 0, 1132, 1337), (-1, 0, 1133, 1336), (-1, 0, 1134, 1335), (-1, 0, 1135, 1335), (-1, 0, 1136, 1334), (-1, 0, 1137, 1333), (-1, 0, 1138, 1333), (-1, 0, 1139, 1332), (-1, 0, 1140, 1331), (-1, 0, 1141, 1331), (-1, 0, 1142, 1330), (-1, 0, 1143, 1329), (-1, 0, 1144, 1328), (-1, 0, 1145, 1328), (-1, 0, 1146, 1327), (-1, 0, 1147, 1326), (-1, 0, 1148, 1326), (-1, 0, 1149, 1325), (-1, 0, 1150, 1324), (-1, 0, 1151, 1324), (-1, 0, 1152, 1323), (-1, 0, 1153, 1322), (-1, 0, 1154, 1322), (-1, 0, 1155, 1321), (-1, 0, 1156, 1320), (-1, 0, 1157, 1320), (-1, 0, 1158, 1319), (-1, 0, 1159, 1318), (-1, 0, 1160, 1318), (-1, 0, 1161, 1317), (-1, 0, 1162, 1316), (-1, 0, 1163, 1315), (-1, 0, 1164, 1315), (-1, 0, 1165, 1314), (-1, 0, 1166, 1313), (-1, 0, 1167, 1313), (-1, 0, 1168, 1312), (-1, 0, 1169, 1311), (-1, 0, 1170, 1311), (-1, 0, 1171, 1310), (-1, 0, 1172, 1309), (-1, 0, 1173, 1309), (-1, 0, 1174, 1308), (-1, 0, 1175, 1307), (-1, 0, 1176, 1307), (-1, 0, 1177, 1306), (-1, 0, 1178, 1305), (-1, 0, 1179, 1305), (-1, 0, 1180, 1304), (-1, 0, 1181, 1303), (-1, 0, 1182, 1303), (-1, 0, 1183, 1302), (-1, 0, 1184, 1301), (-1, 0, 1185, 1300), (-1, 0, 1186, 1300), (-1, 0, 1187, 1299), (-1, 0, 1188, 1298), (-1, 0, 1189, 1298), (-1, 0, 1190, 1297), (-1, 0, 1191, 1296), (-1, 0, 1192, 1296), (-1, 0, 1193, 1295), (-1, 0, 1194, 1294), (-1, 0, 1195, 1294), (-1, 1, 1196, 1292), (-1, 1, 1197, 1291), (-1, 1, 1198, 1291), (-1, 1, 1199, 1290), (-1, 1, 1200, 1289), (-1, 1, 1201, 1289), (-1, 1, 1202, 1288), (-1, 1, 1203, 1287), (-1, 1, 1204, 1286), (-1, 1, 1205, 1286), (-1, 1, 1206, 1285), (-1, 1, 1207, 1284), (-1, 1, 1208, 1284), (-1, 1, 1209, 1283), (-1, 1, 1210, 1282), (-1, 1, 1211, 1282), (-1, 1, 1212, 1281), (-1, 1, 1213, 1281), (-1, 1, 1214, 1281), (-1, 1, 1215, 1281), (-1, 1, 1216, 1282), (-1, 1, 1217, 1282), (-1, 1, 1218, 1282), (-1, 1, 1219, 1282), (-1, 1, 1220, 1282), (-1, 1, 1221, 1282), (-1, 1, 1222, 1214), (-1, 1216, 1222, 67), (-1, 1, 1223, 1213), (-1, 1218, 1223, 65), (-1, 1, 1224, 1212), (-1, 1220, 1224, 64), (-1, 1, 1225, 1211), (-1, 1222, 1225, 62), (-1, 1, 1226, 1209), (-1, 1224, 1226, 60), (-1, 1, 1227, 1208), (-1, 1226, 1227, 58), (-1, 1, 1228, 1207), (-1, 1228, 1228, 56), (-1, 1, 1229, 1206), (-1, 1229, 1229, 54), (-1, 1, 1230, 1205), (-1, 1230, 1230, 52), (-1, 1, 1231, 1202), (-1, 1232, 1231, 49), (-1, 1, 1232, 1197), (-1, 1233, 1232, 47), (-1, 1, 1233, 1193), (-1, 1234, 1233, 45), (-1, 1, 1234, 1190), (-1, 1235, 1234, 43), (-1, 1, 1235, 1188), (-1, 1236, 1235, 41), (-1, 1, 1236, 1186), (-1, 1237, 1236, 39), (-1, 1, 1237, 1185), (-1, 1239, 1237, 36), (-1, 1, 1238, 1183), (-1, 1240, 1238, 33), (-1, 1, 1239, 1181), (-1, 1241, 1239, 30), (-1, 1, 1240, 1181), (-1, 1242, 1240, 27), (-1, 1, 1241, 1181), (-1, 1244, 1241, 23), (-1, 1, 1242, 1181), (-1, 1246, 1242, 19), (-1, 1, 1243, 1182), (-1, 1248, 1243, 8), (-1, 1, 1244, 1182), (-1, 1, 1245, 1182), (-1, 1, 1246, 1182), (-1, 1, 1247, 1182), (-1, 1, 1248, 1182), (-1, 1, 1249, 1182), (-1, 1, 1250, 1183), (-1, 1, 1251, 1183), (-1, 1, 1252, 1183), (-1, 1, 1253, 1183), (-1, 1, 1254, 1183), (-1, 1, 1255, 1183), (-1, 1, 1256, 1183), (-1, 1, 1257, 1184), (-1, 1, 1258, 1184), (-1, 1, 1259, 1184), (-1, 1, 1260, 1184), (-1, 1, 1261, 1184), (-1, 1, 1262, 1184), (-1, 1, 1263, 1184), (-1, 1, 1264, 1184), (-1, 1, 1265, 1184), (-1, 1, 1266, 1184), (-1, 1, 1267, 1184), (-1, 1, 1268, 1184), (-1, 1, 1269, 1185), (-1, 1, 1270, 1185), (-1, 1, 1271, 1185), (-1, 1, 1272, 1185), (-1, 1, 1273, 1185), (-1, 1, 1274, 1185), (-1, 1, 1275, 1185), (-1, 1, 1276, 1185), (-1, 1, 1277, 1185), (-1, 1, 1278, 1185), (-1, 1, 1279, 1185), (-1, 1, 1280, 1185), (-1, 1, 1281, 1185), (-1, 1, 1282, 1186), (-1, 1, 1283, 1186), (-1, 1, 1284, 1186), (-1, 1, 1285, 1186), (-1, 1, 1286, 1186), (-1, 1, 1287, 1186), (-1, 1, 1288, 1186), (-1, 1, 1289, 1187), (-1, 1, 1290, 1187), (-1, 1, 1291, 1187), (-1, 1, 1292, 1187), (-1, 1, 1293, 1187), (-1, 1, 1294, 1187), (-1, 1, 1295, 1187), (-1, 1, 1296, 1188), (-1, 1, 1297, 1188), (-1, 1, 1298, 1188), (-1, 1, 1299, 1188), (-1, 1, 1300, 1188), (-1, 1, 1301, 1188), (-1, 1, 1302, 1188), (-1, 1, 1303, 1188), (-1, 1, 1304, 1188), (-1, 1, 1305, 1188), (-1, 1, 1306, 1188), (-1, 1, 1307, 1188), (-1, 1, 1308, 1188), (-1, 1, 1309, 1188), (-1, 1, 1310, 1188), (-1, 1, 1311, 1188), (-1, 1, 1312, 1188), (-1, 1, 1313, 1188), (-1, 1, 1314, 1188), (-1, 1, 1315, 1188), (-1, 1, 1316, 1188), (-1, 1, 1317, 1188), (-1, 1, 1318, 1188), (-1, 1, 1319, 1189), (-1, 1, 1320, 1189), (-1, 1, 1321, 1190), (-1, 1, 1322, 1190), (-1, 1, 1323, 1191), (-1, 1, 1324, 1191), (-1, 1, 1325, 1192), (-1, 1, 1326, 1193), (-1, 1, 1327, 1193), (-1, 1, 1328, 1194), (-1, 1, 1329, 1194), (-1, 1, 1330, 1195), (-1, 1, 1331, 1195), (-1, 1, 1332, 1196), (-1, 1, 1333, 1197), (-1, 1, 1334, 1199), (-1, 1, 1335, 1200), (-1, 1, 1336, 1201), (-1, 1, 1337, 1202), (-1, 1, 1338, 1203), (-1, 1, 1339, 1205), (-1, 1, 1340, 1206), (-1, 1, 1341, 1207), (-1, 1, 1342, 1208), (-1, 1, 1343, 1210), (-1, 1, 1344, 1211), (-1, 1, 1345, 1212), (-1, 1433, 1345, 1), (-1, 1, 1346, 1213), (-1, 1433, 1346, 2), (-1, 1, 1347, 1214), (-1, 1433, 1347, 4), (-1, 1, 1348, 1216), (-1, 1434, 1348, 4), (-1, 1, 1349, 1217), (-1, 1434, 1349, 5), (-1, 1, 1350, 1218), (-1, 1434, 1350, 6), (-1, 1, 1351, 1218), (-1, 1434, 1351, 7), (-1, 1, 1352, 1218), (-1, 1434, 1352, 9), (-1, 1, 1353, 1219), (-1, 1434, 1353, 10), (-1, 1, 1354, 1219), (-1, 1435, 1354, 10), (-1, 1, 1355, 1219), (-1, 1435, 1355, 11), (-1, 1, 1356, 1219), (-1, 1435, 1356, 12), (-1, 1, 1357, 1219), (-1, 1435, 1357, 14), (-1, 1, 1358, 1219), (-1, 1435, 1358, 15), (-1, 1, 1359, 1220), (-1, 1435, 1359, 16), (-1, 1, 1360, 1220), (-1, 1436, 1360, 16), (-1, 1, 1361, 1220), (-1, 1436, 1361, 17), (-1, 1, 1362, 1220), (-1, 1436, 1362, 19), (-1, 1, 1363, 1220), (-1, 1436, 1363, 20), (-1, 1, 1364, 1220), (-1, 1436, 1364, 21), (-1, 1, 1365, 1221), (-1, 1436, 1365, 22), (-1, 1, 1366, 1221), (-1, 1437, 1366, 22), (-1, 1, 1367, 1221), (-1, 1437, 1367, 24), (-1, 1, 1368, 1221), (-1, 1437, 1368, 25), (-1, 1, 1369, 1221), (-1, 1437, 1369, 26), (-1, 1, 1370, 1221), (-1, 1437, 1370, 27), (-1, 1, 1371, 1222), (-1, 1438, 1371, 28), (-1, 1, 1372, 1222), (-1, 1438, 1372, 29), (-1, 1, 1373, 1222), (-1, 1438, 1373, 30), (-1, 1, 1374, 1222), (-1, 1438, 1374, 31), (-1, 1, 1375, 1222), (-1, 1438, 1375, 32), (-1, 1, 1376, 1222), (-1, 1438, 1376, 34), (-1, 1, 1377, 1223), (-1, 1439, 1377, 34), (-1, 1, 1378, 1223), (-1, 1439, 1378, 35), (-1, 1, 1379, 1223), (-1, 1439, 1379, 36), (-1, 1, 1380, 1223), (-1, 1439, 1380, 37), (-1, 1, 1381, 1223), (-1, 1439, 1381, 39), (-1, 1, 1382, 1223), (-1, 1439, 1382, 40), (-1, 1, 1383, 1224), (-1, 1440, 1383, 40), (-1, 1, 1384, 1224), (-1, 1440, 1384, 41), (-1, 1, 1385, 1224), (-1, 1440, 1385, 42), (-1, 1, 1386, 1224), (-1, 1440, 1386, 44), (-1, 1, 1387, 1224), (-1, 1440, 1387, 45), (-1, 1, 1388, 1225), (-1, 1440, 1388, 46), (-1, 1, 1389, 1225), (-1, 1441, 1389, 46), (-1, 1, 1390, 1225), (-1, 1441, 1390, 47), (-1, 1, 1391, 1225), (-1, 1441, 1391, 49), (-1, 1, 1392, 1225), (-1, 1441, 1392, 50), (-1, 1, 1393, 1225), (-1, 1441, 1393, 51), (-1, 1, 1394, 1226), (-1, 1442, 1394, 50), (-1, 1, 1395, 1226), (-1, 1442, 1395, 50), (-1, 1, 1396, 1226), (-1, 1442, 1396, 49), (-1, 1, 1397, 1226), (-1, 1442, 1397, 49), (-1, 1, 1398, 1226), (-1, 1442, 1398, 49), (-1, 1, 1399, 1226), (-1, 1442, 1399, 49), (-1, 1, 1400, 1227), (-1, 1443, 1400, 48), (-1, 1, 1401, 1227), (-1, 1443, 1401, 47), (-1, 1, 1402, 1227), (-1, 1443, 1402, 47), (-1, 1, 1403, 1227), (-1, 1443, 1403, 47), (-1, 1, 1404, 1227), (-1, 1443, 1404, 47), (-1, 1, 1405, 1227), (-1, 1443, 1405, 47), (-1, 1, 1406, 1228), (-1, 1444, 1406, 45), (-1, 1, 1407, 1228), (-1, 1444, 1407, 45), (-1, 1, 1408, 1228), (-1, 1444, 1408, 45), (-1, 1, 1409, 1228), (-1, 1444, 1409, 45), (-1, 1, 1410, 1228), (-1, 1444, 1410, 44), (-1, 1, 1411, 1228), (-1, 1444, 1411, 44), (-1, 1, 1412, 1229), (-1, 1445, 1412, 43), (-1, 1, 1413, 1229), (-1, 1445, 1413, 42), (-1, 1, 1414, 1229), (-1, 1428, 1414, 59), (-1, 1, 1415, 1229), (-1, 1392, 1415, 94), (-1, 1, 1416, 1229), (-1, 1356, 1416, 135), (-1, 1, 1417, 1229), (-1, 1320, 1417, 183), (-1, 1, 1418, 1230), (-1, 1284, 1418, 231), (-1, 1, 1419, 1230), (-1, 1248, 1419, 279), (-1, 1, 1420, 1537), (-1, 1, 1421, 1549), (-1, 1, 1422, 1561), (-1, 1, 1423, 1573), (-1, 1, 1424, 1584), (-1, 1, 1425, 1596), (-1, 1, 1426, 1608), (-1, 1, 1427, 1620), (-1, 1, 1428, 1626), (-1, 1, 1429, 1626), (-1, 1, 1430, 1627), (-1, 1, 1431, 1627), (-1, 1, 1432, 1627), (-1, 1, 1433, 1628), (-1, 1, 1434, 1628), (-1, 1, 1435, 1628), (-1, 273, 1436, 1356), (-1, 815, 1437, 815), (-1, 1358, 1438, 272)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 218, 'x1': 260, 'y0': 192, 'y1': 298, 'score': 1.0, 'id': None, 'points': ['260,236,258,227,254,215,249,203,237,191,231,198,224,210,218,222,221,239,221,245,225,246,224,260,219,269,230,275,257,297,248,275,233,246'], 'sub_photo_id': 0, 'rles': [(-1, 237, 192, 1), (-1, 236, 193, 3), (-1, 235, 194, 5), (-1, 234, 195, 7), (-1, 234, 196, 8), (-1, 233, 197, 10), (-1, 232, 198, 12), (-1, 231, 199, 14), (-1, 230, 200, 16), (-1, 230, 201, 17), (-1, 229, 202, 19), (-1, 229, 203, 20), (-1, 228, 204, 22), (-1, 228, 205, 22), (-1, 227, 206, 24), (-1, 226, 207, 25), (-1, 226, 208, 26), (-1, 225, 209, 27), (-1, 225, 210, 28), (-1, 224, 211, 29), (-1, 224, 212, 29), (-1, 223, 213, 31), (-1, 223, 214, 31), (-1, 222, 215, 33), (-1, 222, 216, 33), (-1, 221, 217, 34), (-1, 221, 218, 35), (-1, 220, 219, 36), (-1, 220, 220, 36), (-1, 219, 221, 38), (-1, 219, 222, 38), (-1, 218, 223, 39), (-1, 218, 224, 40), (-1, 218, 225, 40), (-1, 219, 226, 39), (-1, 219, 227, 40), (-1, 219, 228, 40), (-1, 219, 229, 40), (-1, 219, 230, 40), (-1, 219, 231, 41), (-1, 220, 232, 40), (-1, 220, 233, 40), (-1, 220, 234, 40), (-1, 220, 235, 41), (-1, 220, 236, 41), (-1, 220, 237, 41), (-1, 221, 238, 38), (-1, 221, 239, 35), (-1, 221, 240, 33), (-1, 221, 241, 30), (-1, 221, 242, 27), (-1, 221, 243, 25), (-1, 221, 244, 22), (-1, 221, 245, 19), (-1, 221, 246, 17), (-1, 223, 247, 12), (-1, 225, 248, 10), (-1, 225, 249, 10), (-1, 225, 250, 11), (-1, 225, 251, 11), (-1, 225, 252, 12), (-1, 225, 253, 12), (-1, 225, 254, 13), (-1, 224, 255, 14), (-1, 224, 256, 15), (-1, 224, 257, 15), (-1, 224, 258, 16), (-1, 224, 259, 16), (-1, 224, 260, 17), (-1, 224, 261, 17), (-1, 223, 262, 19), (-1, 223, 263, 19), (-1, 222, 264, 21), (-1, 222, 265, 21), (-1, 221, 266, 23), (-1, 221, 267, 23), (-1, 220, 268, 25), (-1, 220, 269, 25), (-1, 219, 270, 27), (-1, 220, 271, 26), (-1, 222, 272, 25), (-1, 224, 273, 23), (-1, 226, 274, 22), (-1, 228, 275, 20), (-1, 230, 276, 19), (-1, 231, 277, 18), (-1, 232, 278, 18), (-1, 234, 279, 16), (-1, 235, 280, 16), (-1, 236, 281, 15), (-1, 237, 282, 14), (-1, 238, 283, 14), (-1, 240, 284, 12), (-1, 241, 285, 12), (-1, 242, 286, 11), (-1, 243, 287, 11), (-1, 245, 288, 9), (-1, 246, 289, 8), (-1, 247, 290, 8), (-1, 248, 291, 7), (-1, 250, 292, 6), (-1, 251, 293, 5), (-1, 252, 294, 4), (-1, 253, 295, 4), (-1, 254, 296, 3), (-1, 256, 297, 2), (-1, 257, 298, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 1487, 'x1': 1620, 'y0': 1392, 'y1': 1425, 'score': 1.0, 'id': None, 'points': ['1620,1425,1487,1417,1497,1392,1515,1392,1533,1396,1580,1411'], 'sub_photo_id': 0, 'rles': [(-1, 1497, 1392, 21), (-1, 1497, 1393, 25), (-1, 1496, 1394, 31), (-1, 1496, 1395, 35), (-1, 1495, 1396, 40), (-1, 1495, 1397, 43), (-1, 1495, 1398, 46), (-1, 1494, 1399, 50), (-1, 1494, 1400, 54), (-1, 1493, 1401, 58), (-1, 1493, 1402, 61), (-1, 1493, 1403, 64), (-1, 1492, 1404, 68), (-1, 1492, 1405, 71), (-1, 1491, 1406, 75), (-1, 1491, 1407, 79), (-1, 1491, 1408, 82), (-1, 1490, 1409, 86), (-1, 1490, 1410, 89), (-1, 1489, 1411, 93), (-1, 1489, 1412, 96), (-1, 1489, 1413, 99), (-1, 1488, 1414, 102), (-1, 1488, 1415, 105), (-1, 1487, 1416, 109), (-1, 1487, 1417, 112), (-1, 1496, 1418, 106), (-1, 1512, 1419, 93), (-1, 1529, 1420, 79), (-1, 1546, 1421, 64), (-1, 1562, 1422, 51), (-1, 1579, 1423, 37), (-1, 1596, 1424, 23), (-1, 1612, 1425, 9)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 959, 'x1': 1046, 'y0': 139, 'y1': 204, 'score': 1.0, 'id': None, 'points': ['1046,180,1035,176,1031,158,1014,158,1005,158,986,147,974,138,960,141,959,155,962,164,966,171,980,182,1007,203,1013,203,1023,198,1032,195,1040,189'], 'sub_photo_id': 0, 'rles': [(-1, 972, 139, 3), (-1, 967, 140, 9), (-1, 963, 141, 15), (-1, 960, 142, 19), (-1, 960, 143, 20), (-1, 960, 144, 22), (-1, 960, 145, 23), (-1, 960, 146, 24), (-1, 960, 147, 26), (-1, 960, 148, 27), (-1, 960, 149, 29), (-1, 959, 150, 32), (-1, 959, 151, 34), (-1, 959, 152, 35), (-1, 959, 153, 37), (-1, 959, 154, 39), (-1, 959, 155, 40), (-1, 959, 156, 42), (-1, 959, 157, 44), (-1, 960, 158, 45), (-1, 960, 159, 72), (-1, 960, 160, 72), (-1, 961, 161, 71), (-1, 961, 162, 72), (-1, 961, 163, 72), (-1, 962, 164, 71), (-1, 962, 165, 71), (-1, 963, 166, 71), (-1, 963, 167, 71), (-1, 964, 168, 70), (-1, 964, 169, 70), (-1, 965, 170, 69), (-1, 965, 171, 70), (-1, 966, 172, 69), (-1, 967, 173, 68), (-1, 968, 174, 67), (-1, 970, 175, 66), (-1, 971, 176, 65), (-1, 972, 177, 65), (-1, 973, 178, 67), (-1, 975, 179, 67), (-1, 976, 180, 69), (-1, 977, 181, 70), (-1, 979, 182, 67), (-1, 980, 183, 66), (-1, 981, 184, 64), (-1, 982, 185, 62), (-1, 984, 186, 60), (-1, 985, 187, 58), (-1, 986, 188, 56), (-1, 988, 189, 54), (-1, 989, 190, 52), (-1, 990, 191, 50), (-1, 991, 192, 47), (-1, 993, 193, 44), (-1, 994, 194, 42), (-1, 995, 195, 39), (-1, 997, 196, 36), (-1, 998, 197, 33), (-1, 999, 198, 29), (-1, 1000, 199, 25), (-1, 1002, 200, 20), (-1, 1003, 201, 17), (-1, 1004, 202, 14), (-1, 1006, 203, 10), (-1, 1007, 204, 7)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1787, 'x1': 1847, 'y0': 531, 'y1': 606, 'score': 1.0, 'id': None, 'points': ['1847,597,1796,531,1787,537,1811,574,1802,583,1806,597,1812,606,1830,601'], 'sub_photo_id': 0, 'rles': [(-1, 1796, 531, 1), (-1, 1794, 532, 4), (-1, 1793, 533, 6), (-1, 1791, 534, 8), (-1, 1790, 535, 10), (-1, 1788, 536, 13), (-1, 1787, 537, 15), (-1, 1788, 538, 14), (-1, 1788, 539, 15), (-1, 1789, 540, 15), (-1, 1790, 541, 15), (-1, 1790, 542, 16), (-1, 1791, 543, 15), (-1, 1792, 544, 15), (-1, 1792, 545, 16), (-1, 1793, 546, 16), (-1, 1793, 547, 16), (-1, 1794, 548, 16), (-1, 1795, 549, 16), (-1, 1795, 550, 17), (-1, 1796, 551, 16), (-1, 1797, 552, 16), (-1, 1797, 553, 17), (-1, 1798, 554, 17), (-1, 1799, 555, 17), (-1, 1799, 556, 17), (-1, 1800, 557, 17), (-1, 1801, 558, 17), (-1, 1801, 559, 18), (-1, 1802, 560, 17), (-1, 1803, 561, 17), (-1, 1803, 562, 18), (-1, 1804, 563, 18), (-1, 1805, 564, 18), (-1, 1805, 565, 18), (-1, 1806, 566, 18), (-1, 1806, 567, 19), (-1, 1807, 568, 19), (-1, 1808, 569, 18), (-1, 1808, 570, 19), (-1, 1809, 571, 19), (-1, 1810, 572, 19), (-1, 1810, 573, 19), (-1, 1811, 574, 19), (-1, 1810, 575, 21), (-1, 1809, 576, 23), (-1, 1808, 577, 25), (-1, 1807, 578, 26), (-1, 1806, 579, 28), (-1, 1805, 580, 30), (-1, 1804, 581, 32), (-1, 1803, 582, 33), (-1, 1802, 583, 35), (-1, 1802, 584, 36), (-1, 1803, 585, 36), (-1, 1803, 586, 37), (-1, 1803, 587, 37), (-1, 1803, 588, 38), (-1, 1804, 589, 38), (-1, 1804, 590, 39), (-1, 1804, 591, 39), (-1, 1805, 592, 39), (-1, 1805, 593, 40), (-1, 1805, 594, 41), (-1, 1805, 595, 41), (-1, 1806, 596, 41), (-1, 1806, 597, 42), (-1, 1807, 598, 38), (-1, 1807, 599, 34), (-1, 1808, 600, 29), (-1, 1809, 601, 24), (-1, 1809, 602, 20), (-1, 1810, 603, 15), (-1, 1811, 604, 10), (-1, 1811, 605, 7), (-1, 1812, 606, 2)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1003369118 of 270 degree
temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ab20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38af70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38aeb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ae80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a8e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c38a9d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7658e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c7659a0>] 270
 remove_crop_border : False
version de PIL : 9.5.0
Needs to change image size !
[[-1.8369702e-16 -1.0000000e+00]
 [ 1.0000000e+00 -1.8369702e-16]]
270
[[-1.8369702e-16 -1.0000000e+00]
 [ 1.0000000e+00 -1.8369702e-16]]
 shrink_image : False
 len(list_crops) : 16
time for calcul the mask position with numpy : 0.009755611419677734
nb_pixel_total : 110633
time to create 1 rle with old method : 0.1214597225189209
.time for calcul the mask position with numpy : 0.00890040397644043
nb_pixel_total : 15826
time to create 1 rle with old method : 0.017961502075195312
.time for calcul the mask position with numpy : 0.008817195892333984
nb_pixel_total : 5286
time to create 1 rle with old method : 0.006022453308105469
.time for calcul the mask position with numpy : 0.008471250534057617
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0018591880798339844
.time for calcul the mask position with numpy : 0.009514331817626953
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11378026008605957
.time for calcul the mask position with numpy : 0.008588790893554688
nb_pixel_total : 4393
time to create 1 rle with old method : 0.004965066909790039
.time for calcul the mask position with numpy : 0.008849382400512695
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007333755493164062
.time for calcul the mask position with numpy : 0.008837699890136719
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06639242172241211
.time for calcul the mask position with numpy : 0.009446382522583008
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03551602363586426
.time for calcul the mask position with numpy : 0.008713006973266602
nb_pixel_total : 37724
time to create 1 rle with old method : 0.039450645446777344
.time for calcul the mask position with numpy : 0.010564804077148438
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05413341522216797
.time for calcul the mask position with numpy : 0.03495144844055176
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.33821582794189453
.time for calcul the mask position with numpy : 0.008613824844360352
nb_pixel_total : 2310
time to create 1 rle with old method : 0.0025293827056884766
.time for calcul the mask position with numpy : 0.008762598037719727
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0024046897888183594
.time for calcul the mask position with numpy : 0.00884103775024414
nb_pixel_total : 3112
time to create 1 rle with old method : 0.003486156463623047
.time for calcul the mask position with numpy : 0.009130001068115234
nb_pixel_total : 1662
time to create 1 rle with old method : 0.001848459243774414
.len(list_crops_rotate) : 16
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 400, 'y0': 0, 'y1': 574, 'score': 1.0, 'id': None, 'points': ['400,0,330,96,256,178,208,244,234,273,193,336,159,309,150,312,-2,576,0,-1'], 'sub_photo_id': 0, 'rles': [(-1, 0, 0, 301), (-1, 0, 1, 401), (-1, 0, 2, 400), (-1, 0, 3, 400), (-1, 0, 4, 399), (-1, 0, 5, 398), (-1, 0, 6, 397), (-1, 0, 7, 397), (-1, 0, 8, 396), (-1, 0, 9, 395), (-1, 0, 10, 394), (-1, 0, 11, 394), (-1, 0, 12, 393), (-1, 0, 13, 392), (-1, 0, 14, 392), (-1, 0, 15, 391), (-1, 0, 16, 390), (-1, 0, 17, 389), (-1, 0, 18, 389), (-1, 0, 19, 388), (-1, 0, 20, 387), (-1, 0, 21, 386), (-1, 0, 22, 386), (-1, 0, 23, 385), (-1, 0, 24, 384), (-1, 0, 25, 384), (-1, 0, 26, 383), (-1, 0, 27, 382), (-1, 0, 28, 381), (-1, 0, 29, 381), (-1, 0, 30, 380), (-1, 0, 31, 379), (-1, 0, 32, 378), (-1, 0, 33, 378), (-1, 0, 34, 377), (-1, 0, 35, 376), (-1, 0, 36, 375), (-1, 0, 37, 375), (-1, 0, 38, 374), (-1, 0, 39, 373), (-1, 0, 40, 373), (-1, 0, 41, 372), (-1, 0, 42, 371), (-1, 0, 43, 370), (-1, 0, 44, 370), (-1, 0, 45, 369), (-1, 0, 46, 368), (-1, 0, 47, 367), (-1, 0, 48, 367), (-1, 0, 49, 366), (-1, 0, 50, 365), (-1, 0, 51, 365), (-1, 0, 52, 364), (-1, 0, 53, 363), (-1, 0, 54, 362), (-1, 0, 55, 362), (-1, 0, 56, 361), (-1, 0, 57, 360), (-1, 0, 58, 359), (-1, 0, 59, 359), (-1, 0, 60, 358), (-1, 0, 61, 357), (-1, 0, 62, 357), (-1, 0, 63, 356), (-1, 0, 64, 355), (-1, 0, 65, 354), (-1, 0, 66, 354), (-1, 0, 67, 353), (-1, 0, 68, 352), (-1, 0, 69, 351), (-1, 0, 70, 351), (-1, 0, 71, 350), (-1, 0, 72, 349), (-1, 0, 73, 349), (-1, 0, 74, 348), (-1, 0, 75, 347), (-1, 0, 76, 346), (-1, 0, 77, 346), (-1, 0, 78, 345), (-1, 0, 79, 344), (-1, 0, 80, 343), (-1, 0, 81, 343), (-1, 0, 82, 342), (-1, 0, 83, 341), (-1, 0, 84, 340), (-1, 0, 85, 340), (-1, 0, 86, 339), (-1, 0, 87, 338), (-1, 0, 88, 338), (-1, 0, 89, 337), (-1, 0, 90, 336), (-1, 0, 91, 335), (-1, 0, 92, 335), (-1, 0, 93, 334), (-1, 0, 94, 333), (-1, 0, 95, 332), (-1, 0, 96, 332), (-1, 0, 97, 331), (-1, 0, 98, 330), (-1, 0, 99, 329), (-1, 0, 100, 328), (-1, 0, 101, 327), (-1, 0, 102, 326), (-1, 0, 103, 326), (-1, 0, 104, 325), (-1, 0, 105, 324), (-1, 0, 106, 323), (-1, 0, 107, 322), (-1, 0, 108, 321), (-1, 0, 109, 320), (-1, 0, 110, 319), (-1, 0, 111, 318), (-1, 0, 112, 317), (-1, 0, 113, 317), (-1, 0, 114, 316), (-1, 0, 115, 315), (-1, 0, 116, 314), (-1, 0, 117, 313), (-1, 0, 118, 312), (-1, 0, 119, 311), (-1, 0, 120, 310), (-1, 0, 121, 309), (-1, 0, 122, 308), (-1, 0, 123, 308), (-1, 0, 124, 307), (-1, 0, 125, 306), (-1, 0, 126, 305), (-1, 0, 127, 304), (-1, 0, 128, 303), (-1, 0, 129, 302), (-1, 0, 130, 301), (-1, 0, 131, 300), (-1, 0, 132, 299), (-1, 0, 133, 299), (-1, 0, 134, 298), (-1, 0, 135, 297), (-1, 0, 136, 296), (-1, 0, 137, 295), (-1, 0, 138, 294), (-1, 0, 139, 293), (-1, 0, 140, 292), (-1, 0, 141, 291), (-1, 0, 142, 290), (-1, 0, 143, 289), (-1, 0, 144, 289), (-1, 0, 145, 288), (-1, 0, 146, 287), (-1, 0, 147, 286), (-1, 0, 148, 285), (-1, 0, 149, 284), (-1, 0, 150, 283), (-1, 0, 151, 282), (-1, 0, 152, 281), (-1, 0, 153, 280), (-1, 0, 154, 280), (-1, 0, 155, 279), (-1, 0, 156, 278), (-1, 0, 157, 277), (-1, 0, 158, 276), (-1, 0, 159, 275), (-1, 0, 160, 274), (-1, 0, 161, 273), (-1, 0, 162, 272), (-1, 0, 163, 271), (-1, 0, 164, 271), (-1, 0, 165, 270), (-1, 0, 166, 269), (-1, 0, 167, 268), (-1, 0, 168, 267), (-1, 0, 169, 266), (-1, 0, 170, 265), (-1, 0, 171, 264), (-1, 0, 172, 263), (-1, 0, 173, 262), (-1, 0, 174, 262), (-1, 0, 175, 261), (-1, 0, 176, 260), (-1, 0, 177, 259), (-1, 0, 178, 258), (-1, 0, 179, 257), (-1, 0, 180, 256), (-1, 0, 181, 256), (-1, 0, 182, 255), (-1, 0, 183, 254), (-1, 0, 184, 253), (-1, 0, 185, 253), (-1, 0, 186, 252), (-1, 0, 187, 251), (-1, 0, 188, 250), (-1, 0, 189, 250), (-1, 0, 190, 249), (-1, 0, 191, 248), (-1, 0, 192, 248), (-1, 0, 193, 247), (-1, 0, 194, 246), (-1, 0, 195, 245), (-1, 0, 196, 245), (-1, 0, 197, 244), (-1, 0, 198, 243), (-1, 0, 199, 242), (-1, 0, 200, 242), (-1, 0, 201, 241), (-1, 0, 202, 240), (-1, 0, 203, 240), (-1, 0, 204, 239), (-1, 0, 205, 238), (-1, 0, 206, 237), (-1, 0, 207, 237), (-1, 0, 208, 236), (-1, 0, 209, 235), (-1, 0, 210, 234), (-1, 0, 211, 234), (-1, 0, 212, 233), (-1, 0, 213, 232), (-1, 0, 214, 232), (-1, 0, 215, 231), (-1, 0, 216, 230), (-1, 0, 217, 229), (-1, 0, 218, 229), (-1, 0, 219, 228), (-1, 0, 220, 227), (-1, 0, 221, 226), (-1, 0, 222, 226), (-1, 0, 223, 225), (-1, 0, 224, 224), (-1, 0, 225, 224), (-1, 0, 226, 223), (-1, 0, 227, 222), (-1, 0, 228, 221), (-1, 0, 229, 221), (-1, 0, 230, 220), (-1, 0, 231, 219), (-1, 0, 232, 218), (-1, 0, 233, 218), (-1, 0, 234, 217), (-1, 0, 235, 216), (-1, 0, 236, 216), (-1, 0, 237, 215), (-1, 0, 238, 214), (-1, 0, 239, 213), (-1, 0, 240, 213), (-1, 0, 241, 212), (-1, 0, 242, 211), (-1, 0, 243, 210), (-1, 0, 244, 210), (-1, 0, 245, 209), (-1, 0, 246, 210), (-1, 0, 247, 211), (-1, 0, 248, 212), (-1, 0, 249, 213), (-1, 0, 250, 213), (-1, 0, 251, 214), (-1, 0, 252, 215), (-1, 0, 253, 216), (-1, 0, 254, 217), (-1, 0, 255, 218), (-1, 0, 256, 219), (-1, 0, 257, 220), (-1, 0, 258, 221), (-1, 0, 259, 222), (-1, 0, 260, 222), (-1, 0, 261, 223), (-1, 0, 262, 224), (-1, 0, 263, 225), (-1, 0, 264, 226), (-1, 0, 265, 227), (-1, 0, 266, 228), (-1, 0, 267, 229), (-1, 0, 268, 230), (-1, 0, 269, 231), (-1, 0, 270, 231), (-1, 0, 271, 232), (-1, 0, 272, 233), (-1, 0, 273, 234), (-1, 0, 274, 235), (-1, 0, 275, 234), (-1, 0, 276, 234), (-1, 0, 277, 233), (-1, 0, 278, 232), (-1, 0, 279, 232), (-1, 0, 280, 231), (-1, 0, 281, 230), (-1, 0, 282, 230), (-1, 0, 283, 229), (-1, 0, 284, 228), (-1, 0, 285, 228), (-1, 0, 286, 227), (-1, 0, 287, 227), (-1, 0, 288, 226), (-1, 0, 289, 225), (-1, 0, 290, 225), (-1, 0, 291, 224), (-1, 0, 292, 223), (-1, 0, 293, 223), (-1, 0, 294, 222), (-1, 0, 295, 221), (-1, 0, 296, 221), (-1, 0, 297, 220), (-1, 0, 298, 219), (-1, 0, 299, 219), (-1, 0, 300, 218), (-1, 0, 301, 217), (-1, 0, 302, 217), (-1, 0, 303, 216), (-1, 0, 304, 215), (-1, 0, 305, 215), (-1, 0, 306, 214), (-1, 0, 307, 214), (-1, 0, 308, 213), (-1, 0, 309, 212), (-1, 0, 310, 212), (-1, 0, 311, 158), (-1, 160, 311, 51), (-1, 0, 312, 155), (-1, 161, 312, 49), (-1, 0, 313, 152), (-1, 163, 313, 47), (-1, 0, 314, 150), (-1, 164, 314, 45), (-1, 0, 315, 150), (-1, 165, 315, 43), (-1, 0, 316, 149), (-1, 166, 316, 42), (-1, 0, 317, 149), (-1, 168, 317, 39), (-1, 0, 318, 148), (-1, 169, 318, 37), (-1, 0, 319, 148), (-1, 170, 319, 36), (-1, 0, 320, 147), (-1, 171, 320, 34), (-1, 0, 321, 146), (-1, 173, 321, 31), (-1, 0, 322, 146), (-1, 174, 322, 30), (-1, 0, 323, 145), (-1, 175, 323, 28), (-1, 0, 324, 145), (-1, 177, 324, 25), (-1, 0, 325, 144), (-1, 178, 325, 24), (-1, 0, 326, 144), (-1, 179, 326, 22), (-1, 0, 327, 143), (-1, 180, 327, 21), (-1, 0, 328, 142), (-1, 182, 328, 18), (-1, 0, 329, 142), (-1, 183, 329, 16), (-1, 0, 330, 141), (-1, 184, 330, 15), (-1, 0, 331, 141), (-1, 185, 331, 13), (-1, 0, 332, 140), (-1, 187, 332, 10), (-1, 0, 333, 140), (-1, 188, 333, 9), (-1, 0, 334, 139), (-1, 189, 334, 7), (-1, 0, 335, 138), (-1, 190, 335, 5), (-1, 0, 336, 138), (-1, 192, 336, 3), (-1, 0, 337, 137), (-1, 193, 337, 1), (-1, 0, 338, 137), (-1, 0, 339, 136), (-1, 0, 340, 135), (-1, 0, 341, 135), (-1, 0, 342, 134), (-1, 0, 343, 134), (-1, 0, 344, 133), (-1, 0, 345, 133), (-1, 0, 346, 132), (-1, 0, 347, 131), (-1, 0, 348, 131), (-1, 0, 349, 130), (-1, 0, 350, 130), (-1, 0, 351, 129), (-1, 0, 352, 129), (-1, 0, 353, 128), (-1, 0, 354, 127), (-1, 0, 355, 127), (-1, 0, 356, 126), (-1, 0, 357, 126), (-1, 0, 358, 125), (-1, 0, 359, 125), (-1, 0, 360, 124), (-1, 0, 361, 123), (-1, 0, 362, 123), (-1, 0, 363, 122), (-1, 0, 364, 122), (-1, 0, 365, 121), (-1, 0, 366, 121), (-1, 0, 367, 120), (-1, 0, 368, 119), (-1, 0, 369, 119), (-1, 0, 370, 118), (-1, 0, 371, 118), (-1, 0, 372, 117), (-1, 0, 373, 117), (-1, 0, 374, 116), (-1, 0, 375, 115), (-1, 0, 376, 115), (-1, 0, 377, 114), (-1, 0, 378, 114), (-1, 0, 379, 113), (-1, 0, 380, 112), (-1, 0, 381, 112), (-1, 0, 382, 111), (-1, 0, 383, 111), (-1, 0, 384, 110), (-1, 0, 385, 110), (-1, 0, 386, 109), (-1, 0, 387, 108), (-1, 0, 388, 108), (-1, 0, 389, 107), (-1, 0, 390, 107), (-1, 0, 391, 106), (-1, 0, 392, 106), (-1, 0, 393, 105), (-1, 0, 394, 104), (-1, 0, 395, 104), (-1, 0, 396, 103), (-1, 0, 397, 103), (-1, 0, 398, 102), (-1, 0, 399, 102), (-1, 0, 400, 101), (-1, 0, 401, 100), (-1, 0, 402, 100), (-1, 0, 403, 99), (-1, 0, 404, 99), (-1, 0, 405, 98), (-1, 0, 406, 98), (-1, 0, 407, 97), (-1, 0, 408, 96), (-1, 0, 409, 96), (-1, 0, 410, 95), (-1, 0, 411, 95), (-1, 0, 412, 94), (-1, 0, 413, 94), (-1, 0, 414, 93), (-1, 0, 415, 92), (-1, 0, 416, 92), (-1, 0, 417, 91), (-1, 0, 418, 91), (-1, 0, 419, 90), (-1, 0, 420, 90), (-1, 0, 421, 89), (-1, 0, 422, 88), (-1, 0, 423, 88), (-1, 0, 424, 87), (-1, 0, 425, 87), (-1, 0, 426, 86), (-1, 0, 427, 85), (-1, 0, 428, 85), (-1, 0, 429, 84), (-1, 0, 430, 84), (-1, 0, 431, 83), (-1, 0, 432, 83), (-1, 0, 433, 82), (-1, 0, 434, 81), (-1, 0, 435, 81), (-1, 0, 436, 80), (-1, 0, 437, 80), (-1, 0, 438, 79), (-1, 0, 439, 79), (-1, 0, 440, 78), (-1, 0, 441, 77), (-1, 0, 442, 77), (-1, 0, 443, 76), (-1, 0, 444, 76), (-1, 0, 445, 75), (-1, 0, 446, 75), (-1, 0, 447, 74), (-1, 0, 448, 73), (-1, 0, 449, 73), (-1, 0, 450, 72), (-1, 0, 451, 72), (-1, 0, 452, 71), (-1, 0, 453, 71), (-1, 0, 454, 70), (-1, 0, 455, 69), (-1, 0, 456, 69), (-1, 0, 457, 68), (-1, 0, 458, 68), (-1, 0, 459, 67), (-1, 0, 460, 67), (-1, 0, 461, 66), (-1, 0, 462, 65), (-1, 0, 463, 65), (-1, 0, 464, 64), (-1, 0, 465, 64), (-1, 0, 466, 63), (-1, 0, 467, 62), (-1, 0, 468, 62), (-1, 0, 469, 61), (-1, 0, 470, 61), (-1, 0, 471, 60), (-1, 0, 472, 60), (-1, 0, 473, 59), (-1, 0, 474, 58), (-1, 0, 475, 58), (-1, 0, 476, 57), (-1, 0, 477, 57), (-1, 0, 478, 56), (-1, 0, 479, 56), (-1, 0, 480, 55), (-1, 0, 481, 54), (-1, 0, 482, 54), (-1, 0, 483, 53), (-1, 0, 484, 53), (-1, 0, 485, 52), (-1, 0, 486, 52), (-1, 0, 487, 51), (-1, 0, 488, 50), (-1, 0, 489, 50), (-1, 0, 490, 49), (-1, 0, 491, 49), (-1, 0, 492, 48), (-1, 0, 493, 48), (-1, 0, 494, 47), (-1, 0, 495, 46), (-1, 0, 496, 46), (-1, 0, 497, 45), (-1, 0, 498, 45), (-1, 0, 499, 44), (-1, 0, 500, 44), (-1, 0, 501, 43), (-1, 0, 502, 42), (-1, 0, 503, 42), (-1, 0, 504, 41), (-1, 0, 505, 41), (-1, 0, 506, 40), (-1, 0, 507, 40), (-1, 0, 508, 39), (-1, 0, 509, 38), (-1, 0, 510, 38), (-1, 0, 511, 37), (-1, 0, 512, 37), (-1, 0, 513, 36), (-1, 0, 514, 35), (-1, 0, 515, 35), (-1, 0, 516, 34), (-1, 0, 517, 34), (-1, 0, 518, 33), (-1, 0, 519, 33), (-1, 0, 520, 32), (-1, 0, 521, 31), (-1, 0, 522, 31), (-1, 0, 523, 30), (-1, 0, 524, 30), (-1, 0, 525, 29), (-1, 0, 526, 29), (-1, 0, 527, 28), (-1, 0, 528, 27), (-1, 0, 529, 27), (-1, 0, 530, 26), (-1, 0, 531, 26), (-1, 0, 532, 25), (-1, 0, 533, 25), (-1, 0, 534, 24), (-1, 0, 535, 23), (-1, 0, 536, 23), (-1, 0, 537, 22), (-1, 0, 538, 22), (-1, 0, 539, 21), (-1, 0, 540, 21), (-1, 0, 541, 20), (-1, 0, 542, 19), (-1, 0, 543, 19), (-1, 0, 544, 18), (-1, 0, 545, 18), (-1, 0, 546, 17), (-1, 0, 547, 17), (-1, 0, 548, 16), (-1, 0, 549, 15), (-1, 0, 550, 15), (-1, 0, 551, 14), (-1, 0, 552, 14), (-1, 0, 553, 13), (-1, 0, 554, 12), (-1, 0, 555, 12), (-1, 0, 556, 11), (-1, 0, 557, 11), (-1, 0, 558, 10), (-1, 0, 559, 10), (-1, 0, 560, 9), (-1, 0, 561, 8), (-1, 0, 562, 8), (-1, 0, 563, 7), (-1, 0, 564, 7), (-1, 0, 565, 6), (-1, 0, 566, 6), (-1, 0, 567, 5), (-1, 0, 568, 4), (-1, 0, 569, 4), (-1, 0, 570, 3), (-1, 0, 571, 3), (-1, 0, 572, 2), (-1, 0, 573, 2), (-1, 0, 574, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 831, 'x1': 1071, 'y0': 73, 'y1': 179, 'score': 1.0, 'id': None, 'points': ['873,72,838,130,831,172,840,178,864,178,892,174,913,165,1066,132,1071,105'], 'sub_photo_id': 0, 'rles': [(-1, 873, 73, 4), (-1, 872, 74, 11), (-1, 872, 75, 17), (-1, 871, 76, 24), (-1, 871, 77, 30), (-1, 870, 78, 37), (-1, 869, 79, 44), (-1, 869, 80, 50), (-1, 868, 81, 57), (-1, 868, 82, 63), (-1, 867, 83, 70), (-1, 866, 84, 77), (-1, 866, 85, 83), (-1, 865, 86, 90), (-1, 865, 87, 96), (-1, 864, 88, 103), (-1, 863, 89, 110), (-1, 863, 90, 116), (-1, 862, 91, 123), (-1, 862, 92, 129), (-1, 861, 93, 136), (-1, 860, 94, 143), (-1, 860, 95, 149), (-1, 859, 96, 156), (-1, 859, 97, 162), (-1, 858, 98, 169), (-1, 857, 99, 176), (-1, 857, 100, 182), (-1, 856, 101, 189), (-1, 856, 102, 195), (-1, 855, 103, 202), (-1, 854, 104, 209), (-1, 854, 105, 215), (-1, 853, 106, 219), (-1, 852, 107, 220), (-1, 852, 108, 220), (-1, 851, 109, 220), (-1, 851, 110, 220), (-1, 850, 111, 221), (-1, 849, 112, 222), (-1, 849, 113, 222), (-1, 848, 114, 223), (-1, 848, 115, 222), (-1, 847, 116, 223), (-1, 846, 117, 224), (-1, 846, 118, 224), (-1, 845, 119, 225), (-1, 845, 120, 224), (-1, 844, 121, 225), (-1, 843, 122, 226), (-1, 843, 123, 226), (-1, 842, 124, 227), (-1, 842, 125, 226), (-1, 841, 126, 227), (-1, 840, 127, 228), (-1, 840, 128, 228), (-1, 839, 129, 229), (-1, 839, 130, 229), (-1, 838, 131, 229), (-1, 838, 132, 229), (-1, 838, 133, 229), (-1, 838, 134, 226), (-1, 837, 135, 223), (-1, 837, 136, 218), (-1, 837, 137, 213), (-1, 837, 138, 209), (-1, 837, 139, 204), (-1, 837, 140, 199), (-1, 836, 141, 196), (-1, 836, 142, 191), (-1, 836, 143, 186), (-1, 836, 144, 182), (-1, 836, 145, 177), (-1, 836, 146, 173), (-1, 835, 147, 169), (-1, 835, 148, 164), (-1, 835, 149, 160), (-1, 835, 150, 155), (-1, 835, 151, 150), (-1, 835, 152, 146), (-1, 834, 153, 142), (-1, 834, 154, 137), (-1, 834, 155, 133), (-1, 834, 156, 128), (-1, 834, 157, 124), (-1, 834, 158, 119), (-1, 833, 159, 115), (-1, 833, 160, 111), (-1, 833, 161, 106), (-1, 833, 162, 101), (-1, 833, 163, 97), (-1, 833, 164, 92), (-1, 832, 165, 88), (-1, 832, 166, 84), (-1, 832, 167, 80), (-1, 832, 168, 78), (-1, 832, 169, 76), (-1, 832, 170, 73), (-1, 831, 171, 72), (-1, 831, 172, 70), (-1, 831, 173, 67), (-1, 832, 174, 64), (-1, 834, 175, 60), (-1, 835, 176, 54), (-1, 837, 177, 45), (-1, 838, 178, 37), (-1, 840, 179, 28)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 945, 'x1': 1021, 'y0': 397, 'y1': 614, 'score': 1.0, 'id': None, 'points': ['945,396,965,483,971,508,971,531,974,613,995,573,1016,561,1020,552,1001,504,993,519,986,514,998,493,989,474,981,451'], 'sub_photo_id': 0, 'rles': [(-1, 945, 397, 1), (-1, 945, 398, 2), (-1, 945, 399, 2), (-1, 946, 400, 2), (-1, 946, 401, 3), (-1, 946, 402, 3), (-1, 946, 403, 4), (-1, 947, 404, 4), (-1, 947, 405, 4), (-1, 947, 406, 5), (-1, 947, 407, 6), (-1, 948, 408, 5), (-1, 948, 409, 6), (-1, 948, 410, 7), (-1, 948, 411, 7), (-1, 949, 412, 7), (-1, 949, 413, 7), (-1, 949, 414, 8), (-1, 949, 415, 9), (-1, 950, 416, 8), (-1, 950, 417, 9), (-1, 950, 418, 10), (-1, 950, 419, 10), (-1, 951, 420, 10), (-1, 951, 421, 11), (-1, 951, 422, 11), (-1, 951, 423, 12), (-1, 952, 424, 12), (-1, 952, 425, 12), (-1, 952, 426, 13), (-1, 952, 427, 14), (-1, 952, 428, 14), (-1, 953, 429, 14), (-1, 953, 430, 15), (-1, 953, 431, 15), (-1, 953, 432, 16), (-1, 954, 433, 16), (-1, 954, 434, 16), (-1, 954, 435, 17), (-1, 954, 436, 18), (-1, 955, 437, 17), (-1, 955, 438, 18), (-1, 955, 439, 18), (-1, 955, 440, 19), (-1, 956, 441, 19), (-1, 956, 442, 19), (-1, 956, 443, 20), (-1, 956, 444, 21), (-1, 957, 445, 20), (-1, 957, 446, 21), (-1, 957, 447, 22), (-1, 957, 448, 22), (-1, 958, 449, 22), (-1, 958, 450, 23), (-1, 958, 451, 23), (-1, 958, 452, 24), (-1, 959, 453, 23), (-1, 959, 454, 24), (-1, 959, 455, 24), (-1, 959, 456, 25), (-1, 959, 457, 25), (-1, 960, 458, 24), (-1, 960, 459, 25), (-1, 960, 460, 25), (-1, 960, 461, 26), (-1, 961, 462, 25), (-1, 961, 463, 25), (-1, 961, 464, 26), (-1, 961, 465, 26), (-1, 962, 466, 25), (-1, 962, 467, 26), (-1, 962, 468, 26), (-1, 962, 469, 27), (-1, 963, 470, 26), (-1, 963, 471, 26), (-1, 963, 472, 27), (-1, 963, 473, 27), (-1, 964, 474, 27), (-1, 964, 475, 27), (-1, 964, 476, 27), (-1, 964, 477, 28), (-1, 965, 478, 27), (-1, 965, 479, 28), (-1, 965, 480, 28), (-1, 965, 481, 29), (-1, 966, 482, 28), (-1, 966, 483, 29), (-1, 966, 484, 29), (-1, 966, 485, 30), (-1, 966, 486, 30), (-1, 967, 487, 30), (-1, 967, 488, 30), (-1, 967, 489, 31), (-1, 967, 490, 31), (-1, 968, 491, 31), (-1, 968, 492, 31), (-1, 968, 493, 32), (-1, 968, 494, 32), (-1, 969, 495, 30), (-1, 969, 496, 30), (-1, 969, 497, 29), (-1, 969, 498, 29), (-1, 970, 499, 27), (-1, 970, 500, 27), (-1, 970, 501, 26), (-1, 970, 502, 25), (-1, 971, 503, 24), (-1, 971, 504, 23), (-1, 971, 505, 23), (-1, 1002, 505, 1), (-1, 971, 506, 22), (-1, 1001, 506, 2), (-1, 972, 507, 21), (-1, 1001, 507, 3), (-1, 972, 508, 20), (-1, 1000, 508, 4), (-1, 972, 509, 19), (-1, 1000, 509, 5), (-1, 972, 510, 19), (-1, 999, 510, 6), (-1, 972, 511, 18), (-1, 999, 511, 6), (-1, 972, 512, 18), (-1, 998, 512, 8), (-1, 972, 513, 17), (-1, 998, 513, 8), (-1, 972, 514, 17), (-1, 997, 514, 10), (-1, 972, 515, 16), (-1, 997, 515, 10), (-1, 972, 516, 18), (-1, 996, 516, 11), (-1, 972, 517, 19), (-1, 996, 517, 12), (-1, 972, 518, 20), (-1, 995, 518, 13), (-1, 972, 519, 22), (-1, 995, 519, 14), (-1, 972, 520, 37), (-1, 972, 521, 37), (-1, 972, 522, 38), (-1, 972, 523, 38), (-1, 972, 524, 39), (-1, 972, 525, 39), (-1, 972, 526, 39), (-1, 972, 527, 40), (-1, 972, 528, 40), (-1, 972, 529, 40), (-1, 972, 530, 41), (-1, 972, 531, 41), (-1, 972, 532, 42), (-1, 972, 533, 42), (-1, 972, 534, 42), (-1, 972, 535, 43), (-1, 972, 536, 43), (-1, 972, 537, 44), (-1, 972, 538, 44), (-1, 972, 539, 44), (-1, 972, 540, 45), (-1, 972, 541, 45), (-1, 972, 542, 46), (-1, 972, 543, 46), (-1, 972, 544, 46), (-1, 972, 545, 47), (-1, 973, 546, 46), (-1, 973, 547, 47), (-1, 973, 548, 47), (-1, 973, 549, 47), (-1, 973, 550, 48), (-1, 973, 551, 48), (-1, 973, 552, 49), (-1, 973, 553, 49), (-1, 973, 554, 49), (-1, 973, 555, 48), (-1, 973, 556, 48), (-1, 973, 557, 47), (-1, 973, 558, 47), (-1, 973, 559, 46), (-1, 973, 560, 46), (-1, 973, 561, 45), (-1, 973, 562, 45), (-1, 973, 563, 44), (-1, 973, 564, 42), (-1, 973, 565, 40), (-1, 973, 566, 38), (-1, 973, 567, 37), (-1, 973, 568, 35), (-1, 973, 569, 33), (-1, 973, 570, 31), (-1, 973, 571, 30), (-1, 973, 572, 28), (-1, 973, 573, 26), (-1, 974, 574, 23), (-1, 974, 575, 22), (-1, 974, 576, 22), (-1, 974, 577, 21), (-1, 974, 578, 21), (-1, 974, 579, 20), (-1, 974, 580, 20), (-1, 974, 581, 19), (-1, 974, 582, 19), (-1, 974, 583, 18), (-1, 974, 584, 18), (-1, 974, 585, 17), (-1, 974, 586, 17), (-1, 974, 587, 16), (-1, 974, 588, 16), (-1, 974, 589, 15), (-1, 974, 590, 15), (-1, 974, 591, 14), (-1, 974, 592, 14), (-1, 974, 593, 13), (-1, 974, 594, 13), (-1, 974, 595, 12), (-1, 974, 596, 11), (-1, 974, 597, 11), (-1, 974, 598, 10), (-1, 974, 599, 10), (-1, 974, 600, 9), (-1, 975, 601, 8), (-1, 975, 602, 7), (-1, 975, 603, 7), (-1, 975, 604, 6), (-1, 975, 605, 6), (-1, 975, 606, 5), (-1, 975, 607, 5), (-1, 975, 608, 4), (-1, 975, 609, 4), (-1, 975, 610, 3), (-1, 975, 611, 3), (-1, 975, 612, 2), (-1, 975, 613, 2), (-1, 975, 614, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 357, 'x1': 406, 'y0': 422, 'y1': 485, 'score': 1.0, 'id': None, 'points': ['394,421,382,441,357,469,382,484,400,471,406,429'], 'sub_photo_id': 0, 'rles': [(-1, 394, 422, 1), (-1, 393, 423, 4), (-1, 393, 424, 5), (-1, 392, 425, 8), (-1, 392, 426, 9), (-1, 391, 427, 12), (-1, 390, 428, 14), (-1, 390, 429, 16), (-1, 389, 430, 18), (-1, 389, 431, 18), (-1, 388, 432, 19), (-1, 387, 433, 20), (-1, 387, 434, 19), (-1, 386, 435, 20), (-1, 386, 436, 20), (-1, 385, 437, 21), (-1, 384, 438, 22), (-1, 384, 439, 22), (-1, 383, 440, 23), (-1, 383, 441, 22), (-1, 382, 442, 23), (-1, 381, 443, 24), (-1, 380, 444, 25), (-1, 379, 445, 26), (-1, 378, 446, 27), (-1, 378, 447, 27), (-1, 377, 448, 27), (-1, 376, 449, 28), (-1, 375, 450, 29), (-1, 374, 451, 30), (-1, 373, 452, 31), (-1, 372, 453, 32), (-1, 371, 454, 33), (-1, 370, 455, 33), (-1, 370, 456, 33), (-1, 369, 457, 34), (-1, 368, 458, 35), (-1, 367, 459, 36), (-1, 366, 460, 37), (-1, 365, 461, 38), (-1, 364, 462, 38), (-1, 363, 463, 39), (-1, 362, 464, 40), (-1, 361, 465, 41), (-1, 361, 466, 41), (-1, 360, 467, 42), (-1, 359, 468, 43), (-1, 358, 469, 43), (-1, 357, 470, 44), (-1, 358, 471, 43), (-1, 360, 472, 41), (-1, 362, 473, 38), (-1, 363, 474, 35), (-1, 365, 475, 32), (-1, 367, 476, 29), (-1, 368, 477, 26), (-1, 370, 478, 23), (-1, 372, 479, 19), (-1, 373, 480, 17), (-1, 375, 481, 14), (-1, 377, 482, 10), (-1, 378, 483, 8), (-1, 380, 484, 5), (-1, 382, 485, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1126, 'x1': 1438, 'y0': 1, 'y1': 653, 'score': 1.0, 'id': None, 'points': ['1159,1,1161,22,1155,70,1147,91,1143,102,1126,115,1234,97,1257,115,1308,210,1335,296,1368,406,1362,410,1147,521,1164,536,1204,563,1233,566,1257,572,1282,586,1374,646,1389,653,1426,529,1438,530,1437,0'], 'sub_photo_id': 0, 'rles': [(-1, 1298, 1, 140), (-1, 1159, 2, 279), (-1, 1159, 3, 279), (-1, 1159, 4, 279), (-1, 1159, 5, 279), (-1, 1159, 6, 279), (-1, 1159, 7, 279), (-1, 1160, 8, 278), (-1, 1160, 9, 278), (-1, 1160, 10, 278), (-1, 1160, 11, 278), (-1, 1160, 12, 278), (-1, 1160, 13, 278), (-1, 1160, 14, 278), (-1, 1160, 15, 278), (-1, 1160, 16, 278), (-1, 1160, 17, 278), (-1, 1161, 18, 277), (-1, 1161, 19, 277), (-1, 1161, 20, 277), (-1, 1161, 21, 277), (-1, 1161, 22, 277), (-1, 1161, 23, 277), (-1, 1161, 24, 277), (-1, 1161, 25, 277), (-1, 1161, 26, 277), (-1, 1161, 27, 277), (-1, 1160, 28, 278), (-1, 1160, 29, 278), (-1, 1160, 30, 278), (-1, 1160, 31, 278), (-1, 1160, 32, 278), (-1, 1160, 33, 278), (-1, 1160, 34, 278), (-1, 1160, 35, 278), (-1, 1159, 36, 279), (-1, 1159, 37, 279), (-1, 1159, 38, 279), (-1, 1159, 39, 279), (-1, 1159, 40, 279), (-1, 1159, 41, 279), (-1, 1159, 42, 279), (-1, 1159, 43, 279), (-1, 1158, 44, 280), (-1, 1158, 45, 280), (-1, 1158, 46, 280), (-1, 1158, 47, 280), (-1, 1158, 48, 280), (-1, 1158, 49, 280), (-1, 1158, 50, 280), (-1, 1158, 51, 280), (-1, 1157, 52, 281), (-1, 1157, 53, 281), (-1, 1157, 54, 281), (-1, 1157, 55, 281), (-1, 1157, 56, 281), (-1, 1157, 57, 281), (-1, 1157, 58, 281), (-1, 1157, 59, 281), (-1, 1156, 60, 282), (-1, 1156, 61, 282), (-1, 1156, 62, 282), (-1, 1156, 63, 282), (-1, 1156, 64, 282), (-1, 1156, 65, 282), (-1, 1156, 66, 282), (-1, 1156, 67, 282), (-1, 1155, 68, 283), (-1, 1155, 69, 283), (-1, 1155, 70, 283), (-1, 1155, 71, 283), (-1, 1155, 72, 283), (-1, 1154, 73, 284), (-1, 1154, 74, 284), (-1, 1153, 75, 285), (-1, 1153, 76, 285), (-1, 1153, 77, 285), (-1, 1152, 78, 286), (-1, 1152, 79, 286), (-1, 1152, 80, 286), (-1, 1151, 81, 287), (-1, 1151, 82, 287), (-1, 1150, 83, 288), (-1, 1150, 84, 288), (-1, 1150, 85, 288), (-1, 1149, 86, 289), (-1, 1149, 87, 289), (-1, 1149, 88, 289), (-1, 1148, 89, 290), (-1, 1148, 90, 290), (-1, 1147, 91, 291), (-1, 1147, 92, 291), (-1, 1147, 93, 291), (-1, 1146, 94, 292), (-1, 1146, 95, 292), (-1, 1146, 96, 292), (-1, 1145, 97, 293), (-1, 1145, 98, 293), (-1, 1144, 99, 87), (-1, 1235, 99, 203), (-1, 1144, 100, 81), (-1, 1236, 100, 202), (-1, 1144, 101, 75), (-1, 1238, 101, 200), (-1, 1143, 102, 70), (-1, 1239, 102, 199), (-1, 1143, 103, 64), (-1, 1240, 103, 198), (-1, 1142, 104, 59), (-1, 1242, 104, 196), (-1, 1140, 105, 55), (-1, 1243, 105, 195), (-1, 1139, 106, 50), (-1, 1244, 106, 194), (-1, 1138, 107, 45), (-1, 1245, 107, 193), (-1, 1136, 108, 41), (-1, 1247, 108, 191), (-1, 1135, 109, 36), (-1, 1248, 109, 190), (-1, 1134, 110, 31), (-1, 1249, 110, 189), (-1, 1132, 111, 27), (-1, 1250, 111, 188), (-1, 1131, 112, 22), (-1, 1252, 112, 186), (-1, 1130, 113, 17), (-1, 1253, 113, 185), (-1, 1128, 114, 13), (-1, 1254, 114, 184), (-1, 1127, 115, 8), (-1, 1256, 115, 182), (-1, 1126, 116, 3), (-1, 1257, 116, 181), (-1, 1258, 117, 180), (-1, 1258, 118, 180), (-1, 1259, 119, 179), (-1, 1259, 120, 179), (-1, 1260, 121, 178), (-1, 1260, 122, 178), (-1, 1261, 123, 177), (-1, 1261, 124, 177), (-1, 1262, 125, 176), (-1, 1262, 126, 176), (-1, 1263, 127, 175), (-1, 1263, 128, 175), (-1, 1264, 129, 174), (-1, 1265, 130, 173), (-1, 1265, 131, 173), (-1, 1266, 132, 172), (-1, 1266, 133, 172), (-1, 1267, 134, 171), (-1, 1267, 135, 171), (-1, 1268, 136, 170), (-1, 1268, 137, 170), (-1, 1269, 138, 169), (-1, 1269, 139, 169), (-1, 1270, 140, 168), (-1, 1270, 141, 168), (-1, 1271, 142, 167), (-1, 1271, 143, 167), (-1, 1272, 144, 166), (-1, 1273, 145, 165), (-1, 1273, 146, 165), (-1, 1274, 147, 164), (-1, 1274, 148, 164), (-1, 1275, 149, 163), (-1, 1275, 150, 163), (-1, 1276, 151, 162), (-1, 1276, 152, 162), (-1, 1277, 153, 161), (-1, 1277, 154, 161), (-1, 1278, 155, 160), (-1, 1278, 156, 160), (-1, 1279, 157, 159), (-1, 1280, 158, 158), (-1, 1280, 159, 158), (-1, 1281, 160, 157), (-1, 1281, 161, 157), (-1, 1282, 162, 156), (-1, 1282, 163, 156), (-1, 1283, 164, 155), (-1, 1283, 165, 155), (-1, 1284, 166, 154), (-1, 1284, 167, 154), (-1, 1285, 168, 153), (-1, 1285, 169, 153), (-1, 1286, 170, 152), (-1, 1287, 171, 151), (-1, 1287, 172, 151), (-1, 1288, 173, 150), (-1, 1288, 174, 150), (-1, 1289, 175, 149), (-1, 1289, 176, 149), (-1, 1290, 177, 148), (-1, 1290, 178, 148), (-1, 1291, 179, 147), (-1, 1291, 180, 147), (-1, 1292, 181, 146), (-1, 1292, 182, 146), (-1, 1293, 183, 145), (-1, 1294, 184, 144), (-1, 1294, 185, 144), (-1, 1295, 186, 143), (-1, 1295, 187, 143), (-1, 1296, 188, 142), (-1, 1296, 189, 142), (-1, 1297, 190, 141), (-1, 1297, 191, 141), (-1, 1298, 192, 140), (-1, 1298, 193, 140), (-1, 1299, 194, 139), (-1, 1299, 195, 139), (-1, 1300, 196, 138), (-1, 1300, 197, 138), (-1, 1301, 198, 137), (-1, 1302, 199, 136), (-1, 1302, 200, 136), (-1, 1303, 201, 135), (-1, 1303, 202, 135), (-1, 1304, 203, 134), (-1, 1304, 204, 134), (-1, 1305, 205, 133), (-1, 1305, 206, 133), (-1, 1306, 207, 132), (-1, 1306, 208, 132), (-1, 1307, 209, 131), (-1, 1307, 210, 131), (-1, 1308, 211, 130), (-1, 1308, 212, 130), (-1, 1309, 213, 129), (-1, 1309, 214, 129), (-1, 1309, 215, 129), (-1, 1310, 216, 128), (-1, 1310, 217, 128), (-1, 1310, 218, 128), (-1, 1311, 219, 127), (-1, 1311, 220, 127), (-1, 1311, 221, 127), (-1, 1311, 222, 127), (-1, 1312, 223, 126), (-1, 1312, 224, 126), (-1, 1312, 225, 126), (-1, 1313, 226, 125), (-1, 1313, 227, 125), (-1, 1313, 228, 125), (-1, 1314, 229, 124), (-1, 1314, 230, 124), (-1, 1314, 231, 124), (-1, 1315, 232, 123), (-1, 1315, 233, 123), (-1, 1315, 234, 123), (-1, 1316, 235, 122), (-1, 1316, 236, 122), (-1, 1316, 237, 122), (-1, 1317, 238, 121), (-1, 1317, 239, 121), (-1, 1317, 240, 121), (-1, 1318, 241, 120), (-1, 1318, 242, 120), (-1, 1318, 243, 120), (-1, 1318, 244, 120), (-1, 1319, 245, 119), (-1, 1319, 246, 119), (-1, 1319, 247, 119), (-1, 1320, 248, 118), (-1, 1320, 249, 118), (-1, 1320, 250, 118), (-1, 1321, 251, 117), (-1, 1321, 252, 117), (-1, 1321, 253, 117), (-1, 1322, 254, 116), (-1, 1322, 255, 116), (-1, 1322, 256, 116), (-1, 1323, 257, 115), (-1, 1323, 258, 115), (-1, 1323, 259, 115), (-1, 1324, 260, 114), (-1, 1324, 261, 114), (-1, 1324, 262, 114), (-1, 1325, 263, 113), (-1, 1325, 264, 113), (-1, 1325, 265, 113), (-1, 1325, 266, 114), (-1, 1326, 267, 113), (-1, 1326, 268, 113), (-1, 1326, 269, 113), (-1, 1327, 270, 112), (-1, 1327, 271, 112), (-1, 1327, 272, 112), (-1, 1328, 273, 111), (-1, 1328, 274, 111), (-1, 1328, 275, 111), (-1, 1329, 276, 110), (-1, 1329, 277, 110), (-1, 1329, 278, 110), (-1, 1330, 279, 109), (-1, 1330, 280, 109), (-1, 1330, 281, 109), (-1, 1331, 282, 108), (-1, 1331, 283, 108), (-1, 1331, 284, 108), (-1, 1332, 285, 107), (-1, 1332, 286, 107), (-1, 1332, 287, 107), (-1, 1332, 288, 107), (-1, 1333, 289, 106), (-1, 1333, 290, 106), (-1, 1333, 291, 106), (-1, 1334, 292, 105), (-1, 1334, 293, 105), (-1, 1334, 294, 105), (-1, 1335, 295, 104), (-1, 1335, 296, 104), (-1, 1335, 297, 104), (-1, 1336, 298, 103), (-1, 1336, 299, 103), (-1, 1336, 300, 103), (-1, 1336, 301, 103), (-1, 1337, 302, 102), (-1, 1337, 303, 102), (-1, 1337, 304, 102), (-1, 1338, 305, 101), (-1, 1338, 306, 101), (-1, 1338, 307, 101), (-1, 1339, 308, 100), (-1, 1339, 309, 100), (-1, 1339, 310, 100), (-1, 1339, 311, 100), (-1, 1340, 312, 99), (-1, 1340, 313, 99), (-1, 1340, 314, 99), (-1, 1341, 315, 98), (-1, 1341, 316, 98), (-1, 1341, 317, 98), (-1, 1342, 318, 97), (-1, 1342, 319, 97), (-1, 1342, 320, 97), (-1, 1342, 321, 97), (-1, 1343, 322, 96), (-1, 1343, 323, 96), (-1, 1343, 324, 96), (-1, 1344, 325, 95), (-1, 1344, 326, 95), (-1, 1344, 327, 95), (-1, 1345, 328, 94), (-1, 1345, 329, 94), (-1, 1345, 330, 94), (-1, 1345, 331, 94), (-1, 1346, 332, 93), (-1, 1346, 333, 93), (-1, 1346, 334, 93), (-1, 1347, 335, 92), (-1, 1347, 336, 92), (-1, 1347, 337, 92), (-1, 1348, 338, 91), (-1, 1348, 339, 91), (-1, 1348, 340, 91), (-1, 1348, 341, 91), (-1, 1349, 342, 90), (-1, 1349, 343, 90), (-1, 1349, 344, 90), (-1, 1350, 345, 89), (-1, 1350, 346, 89), (-1, 1350, 347, 89), (-1, 1351, 348, 88), (-1, 1351, 349, 88), (-1, 1351, 350, 88), (-1, 1351, 351, 88), (-1, 1352, 352, 87), (-1, 1352, 353, 87), (-1, 1352, 354, 87), (-1, 1353, 355, 86), (-1, 1353, 356, 86), (-1, 1353, 357, 86), (-1, 1354, 358, 85), (-1, 1354, 359, 85), (-1, 1354, 360, 85), (-1, 1354, 361, 85), (-1, 1355, 362, 84), (-1, 1355, 363, 84), (-1, 1355, 364, 84), (-1, 1356, 365, 83), (-1, 1356, 366, 83), (-1, 1356, 367, 83), (-1, 1357, 368, 82), (-1, 1357, 369, 82), (-1, 1357, 370, 82), (-1, 1357, 371, 82), (-1, 1358, 372, 81), (-1, 1358, 373, 81), (-1, 1358, 374, 81), (-1, 1359, 375, 80), (-1, 1359, 376, 80), (-1, 1359, 377, 80), (-1, 1360, 378, 79), (-1, 1360, 379, 79), (-1, 1360, 380, 79), (-1, 1360, 381, 79), (-1, 1361, 382, 78), (-1, 1361, 383, 78), (-1, 1361, 384, 78), (-1, 1362, 385, 77), (-1, 1362, 386, 77), (-1, 1362, 387, 77), (-1, 1363, 388, 76), (-1, 1363, 389, 76), (-1, 1363, 390, 76), (-1, 1363, 391, 76), (-1, 1364, 392, 75), (-1, 1364, 393, 75), (-1, 1364, 394, 75), (-1, 1365, 395, 74), (-1, 1365, 396, 74), (-1, 1365, 397, 74), (-1, 1366, 398, 73), (-1, 1366, 399, 73), (-1, 1366, 400, 73), (-1, 1366, 401, 73), (-1, 1367, 402, 72), (-1, 1367, 403, 72), (-1, 1367, 404, 72), (-1, 1368, 405, 71), (-1, 1368, 406, 71), (-1, 1366, 407, 73), (-1, 1365, 408, 74), (-1, 1363, 409, 76), (-1, 1362, 410, 77), (-1, 1360, 411, 79), (-1, 1358, 412, 81), (-1, 1356, 413, 83), (-1, 1354, 414, 85), (-1, 1352, 415, 87), (-1, 1350, 416, 89), (-1, 1348, 417, 91), (-1, 1346, 418, 93), (-1, 1344, 419, 95), (-1, 1342, 420, 97), (-1, 1340, 421, 99), (-1, 1338, 422, 101), (-1, 1336, 423, 103), (-1, 1334, 424, 105), (-1, 1332, 425, 107), (-1, 1331, 426, 108), (-1, 1329, 427, 110), (-1, 1327, 428, 112), (-1, 1325, 429, 114), (-1, 1323, 430, 116), (-1, 1321, 431, 118), (-1, 1319, 432, 120), (-1, 1317, 433, 122), (-1, 1315, 434, 124), (-1, 1313, 435, 126), (-1, 1311, 436, 128), (-1, 1309, 437, 130), (-1, 1307, 438, 132), (-1, 1305, 439, 134), (-1, 1303, 440, 136), (-1, 1301, 441, 138), (-1, 1300, 442, 139), (-1, 1298, 443, 141), (-1, 1296, 444, 143), (-1, 1294, 445, 145), (-1, 1292, 446, 147), (-1, 1290, 447, 149), (-1, 1288, 448, 151), (-1, 1286, 449, 153), (-1, 1284, 450, 155), (-1, 1282, 451, 157), (-1, 1280, 452, 159), (-1, 1278, 453, 161), (-1, 1276, 454, 163), (-1, 1274, 455, 165), (-1, 1272, 456, 167), (-1, 1270, 457, 169), (-1, 1269, 458, 170), (-1, 1267, 459, 172), (-1, 1265, 460, 174), (-1, 1263, 461, 176), (-1, 1261, 462, 178), (-1, 1259, 463, 180), (-1, 1257, 464, 182), (-1, 1255, 465, 184), (-1, 1253, 466, 186), (-1, 1251, 467, 188), (-1, 1249, 468, 190), (-1, 1247, 469, 192), (-1, 1245, 470, 194), (-1, 1243, 471, 196), (-1, 1241, 472, 198), (-1, 1240, 473, 199), (-1, 1238, 474, 201), (-1, 1236, 475, 203), (-1, 1234, 476, 205), (-1, 1232, 477, 207), (-1, 1230, 478, 209), (-1, 1228, 479, 211), (-1, 1226, 480, 213), (-1, 1224, 481, 215), (-1, 1222, 482, 217), (-1, 1220, 483, 219), (-1, 1218, 484, 221), (-1, 1216, 485, 223), (-1, 1214, 486, 225), (-1, 1212, 487, 227), (-1, 1210, 488, 229), (-1, 1209, 489, 230), (-1, 1207, 490, 232), (-1, 1205, 491, 234), (-1, 1203, 492, 236), (-1, 1201, 493, 238), (-1, 1199, 494, 240), (-1, 1197, 495, 242), (-1, 1195, 496, 244), (-1, 1193, 497, 246), (-1, 1191, 498, 248), (-1, 1189, 499, 250), (-1, 1187, 500, 252), (-1, 1185, 501, 254), (-1, 1183, 502, 256), (-1, 1181, 503, 258), (-1, 1179, 504, 260), (-1, 1178, 505, 261), (-1, 1176, 506, 263), (-1, 1174, 507, 265), (-1, 1172, 508, 267), (-1, 1170, 509, 269), (-1, 1168, 510, 271), (-1, 1166, 511, 273), (-1, 1164, 512, 275), (-1, 1162, 513, 277), (-1, 1160, 514, 279), (-1, 1158, 515, 281), (-1, 1156, 516, 283), (-1, 1154, 517, 285), (-1, 1152, 518, 287), (-1, 1150, 519, 289), (-1, 1148, 520, 291), (-1, 1147, 521, 292), (-1, 1148, 522, 291), (-1, 1149, 523, 290), (-1, 1150, 524, 289), (-1, 1151, 525, 288), (-1, 1153, 526, 286), (-1, 1154, 527, 285), (-1, 1155, 528, 284), (-1, 1156, 529, 283), (-1, 1157, 530, 270), (-1, 1433, 530, 6), (-1, 1158, 531, 268), (-1, 1159, 532, 267), (-1, 1161, 533, 265), (-1, 1162, 534, 264), (-1, 1163, 535, 262), (-1, 1164, 536, 261), (-1, 1165, 537, 260), (-1, 1167, 538, 257), (-1, 1168, 539, 256), (-1, 1170, 540, 254), (-1, 1171, 541, 253), (-1, 1173, 542, 250), (-1, 1174, 543, 249), (-1, 1176, 544, 247), (-1, 1177, 545, 245), (-1, 1179, 546, 243), (-1, 1180, 547, 242), (-1, 1182, 548, 239), (-1, 1183, 549, 238), (-1, 1185, 550, 236), (-1, 1186, 551, 235), (-1, 1187, 552, 233), (-1, 1189, 553, 231), (-1, 1190, 554, 230), (-1, 1192, 555, 227), (-1, 1193, 556, 226), (-1, 1195, 557, 224), (-1, 1196, 558, 223), (-1, 1198, 559, 220), (-1, 1199, 560, 219), (-1, 1201, 561, 217), (-1, 1202, 562, 215), (-1, 1204, 563, 213), (-1, 1209, 564, 208), (-1, 1219, 565, 198), (-1, 1229, 566, 187), (-1, 1236, 567, 180), (-1, 1240, 568, 176), (-1, 1244, 569, 171), (-1, 1248, 570, 167), (-1, 1252, 571, 163), (-1, 1256, 572, 159), (-1, 1258, 573, 156), (-1, 1260, 574, 154), (-1, 1262, 575, 152), (-1, 1264, 576, 149), (-1, 1266, 577, 147), (-1, 1267, 578, 146), (-1, 1269, 579, 143), (-1, 1271, 580, 141), (-1, 1273, 581, 139), (-1, 1274, 582, 138), (-1, 1276, 583, 135), (-1, 1278, 584, 133), (-1, 1280, 585, 131), (-1, 1282, 586, 128), (-1, 1283, 587, 127), (-1, 1285, 588, 125), (-1, 1286, 589, 124), (-1, 1288, 590, 121), (-1, 1289, 591, 120), (-1, 1291, 592, 118), (-1, 1292, 593, 116), (-1, 1294, 594, 114), (-1, 1296, 595, 112), (-1, 1297, 596, 111), (-1, 1299, 597, 108), (-1, 1300, 598, 107), (-1, 1302, 599, 105), (-1, 1303, 600, 103), (-1, 1305, 601, 101), (-1, 1306, 602, 100), (-1, 1308, 603, 98), (-1, 1309, 604, 96), (-1, 1311, 605, 94), (-1, 1312, 606, 93), (-1, 1314, 607, 90), (-1, 1315, 608, 89), (-1, 1317, 609, 87), (-1, 1319, 610, 84), (-1, 1320, 611, 83), (-1, 1322, 612, 81), (-1, 1323, 613, 80), (-1, 1325, 614, 77), (-1, 1326, 615, 76), (-1, 1328, 616, 74), (-1, 1329, 617, 72), (-1, 1331, 618, 70), (-1, 1332, 619, 69), (-1, 1334, 620, 67), (-1, 1335, 621, 65), (-1, 1337, 622, 63), (-1, 1338, 623, 62), (-1, 1340, 624, 59), (-1, 1342, 625, 57), (-1, 1343, 626, 56), (-1, 1345, 627, 54), (-1, 1346, 628, 52), (-1, 1348, 629, 50), (-1, 1349, 630, 49), (-1, 1351, 631, 46), (-1, 1352, 632, 45), (-1, 1354, 633, 43), (-1, 1355, 634, 42), (-1, 1357, 635, 39), (-1, 1358, 636, 38), (-1, 1360, 637, 36), (-1, 1361, 638, 34), (-1, 1363, 639, 32), (-1, 1365, 640, 30), (-1, 1366, 641, 28), (-1, 1368, 642, 26), (-1, 1369, 643, 25), (-1, 1371, 644, 23), (-1, 1372, 645, 21), (-1, 1374, 646, 19), (-1, 1376, 647, 17), (-1, 1378, 648, 14), (-1, 1380, 649, 12), (-1, 1383, 650, 9), (-1, 1385, 651, 7), (-1, 1387, 652, 4), (-1, 1389, 653, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 28, 'x1': 97, 'y0': 970, 'y1': 1102, 'score': 1.0, 'id': None, 'points': ['53,969,41,969,39,984,33,1000,32,1021,29,1032,27,1039,56,1072,77,1092,89,1101,96,1069,78,1039,74,1021,60,1000,57,988'], 'sub_photo_id': 0, 'rles': [(-1, 42, 970, 13), (-1, 42, 971, 13), (-1, 42, 972, 13), (-1, 42, 973, 14), (-1, 41, 974, 15), (-1, 41, 975, 15), (-1, 41, 976, 15), (-1, 41, 977, 15), (-1, 41, 978, 16), (-1, 41, 979, 16), (-1, 41, 980, 16), (-1, 41, 981, 16), (-1, 40, 982, 18), (-1, 40, 983, 18), (-1, 40, 984, 18), (-1, 40, 985, 18), (-1, 40, 986, 18), (-1, 39, 987, 20), (-1, 39, 988, 20), (-1, 39, 989, 20), (-1, 38, 990, 21), (-1, 38, 991, 21), (-1, 37, 992, 23), (-1, 37, 993, 23), (-1, 37, 994, 23), (-1, 36, 995, 24), (-1, 36, 996, 25), (-1, 36, 997, 25), (-1, 35, 998, 26), (-1, 35, 999, 26), (-1, 34, 1000, 28), (-1, 34, 1001, 28), (-1, 34, 1002, 29), (-1, 34, 1003, 29), (-1, 34, 1004, 30), (-1, 34, 1005, 31), (-1, 34, 1006, 31), (-1, 34, 1007, 32), (-1, 34, 1008, 33), (-1, 34, 1009, 33), (-1, 34, 1010, 34), (-1, 34, 1011, 35), (-1, 33, 1012, 36), (-1, 33, 1013, 37), (-1, 33, 1014, 38), (-1, 33, 1015, 38), (-1, 33, 1016, 39), (-1, 33, 1017, 40), (-1, 33, 1018, 40), (-1, 33, 1019, 41), (-1, 33, 1020, 42), (-1, 33, 1021, 42), (-1, 33, 1022, 43), (-1, 33, 1023, 43), (-1, 32, 1024, 44), (-1, 32, 1025, 45), (-1, 32, 1026, 45), (-1, 32, 1027, 45), (-1, 31, 1028, 46), (-1, 31, 1029, 47), (-1, 31, 1030, 47), (-1, 31, 1031, 47), (-1, 30, 1032, 48), (-1, 30, 1033, 48), (-1, 30, 1034, 49), (-1, 29, 1035, 50), (-1, 29, 1036, 50), (-1, 29, 1037, 50), (-1, 29, 1038, 51), (-1, 28, 1039, 52), (-1, 28, 1040, 52), (-1, 29, 1041, 52), (-1, 30, 1042, 51), (-1, 31, 1043, 51), (-1, 32, 1044, 50), (-1, 32, 1045, 51), (-1, 33, 1046, 51), (-1, 34, 1047, 50), (-1, 35, 1048, 50), (-1, 36, 1049, 49), (-1, 37, 1050, 49), (-1, 38, 1051, 49), (-1, 39, 1052, 48), (-1, 39, 1053, 49), (-1, 40, 1054, 48), (-1, 41, 1055, 48), (-1, 42, 1056, 48), (-1, 43, 1057, 47), (-1, 44, 1058, 47), (-1, 45, 1059, 46), (-1, 46, 1060, 46), (-1, 46, 1061, 47), (-1, 47, 1062, 46), (-1, 48, 1063, 46), (-1, 49, 1064, 45), (-1, 50, 1065, 45), (-1, 51, 1066, 45), (-1, 52, 1067, 44), (-1, 53, 1068, 44), (-1, 53, 1069, 44), (-1, 54, 1070, 44), (-1, 55, 1071, 43), (-1, 56, 1072, 42), (-1, 57, 1073, 40), (-1, 58, 1074, 39), (-1, 59, 1075, 38), (-1, 60, 1076, 37), (-1, 61, 1077, 35), (-1, 62, 1078, 34), (-1, 63, 1079, 33), (-1, 64, 1080, 32), (-1, 65, 1081, 31), (-1, 66, 1082, 29), (-1, 67, 1083, 28), (-1, 69, 1084, 26), (-1, 70, 1085, 25), (-1, 71, 1086, 24), (-1, 72, 1087, 22), (-1, 73, 1088, 21), (-1, 74, 1089, 20), (-1, 75, 1090, 19), (-1, 76, 1091, 17), (-1, 77, 1092, 16), (-1, 78, 1093, 15), (-1, 79, 1094, 14), (-1, 81, 1095, 12), (-1, 82, 1096, 10), (-1, 83, 1097, 9), (-1, 85, 1098, 7), (-1, 86, 1099, 6), (-1, 87, 1100, 4), (-1, 89, 1101, 2), (-1, 90, 1102, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 112, 'x1': 157, 'y0': 1151, 'y1': 1183, 'score': 1.0, 'id': None, 'points': ['156,1150,111,1165,137,1182,149,1162'], 'sub_photo_id': 0, 'rles': [(-1, 156, 1151, 2), (-1, 153, 1152, 4), (-1, 150, 1153, 7), (-1, 147, 1154, 9), (-1, 144, 1155, 12), (-1, 141, 1156, 14), (-1, 138, 1157, 17), (-1, 135, 1158, 19), (-1, 132, 1159, 21), (-1, 129, 1160, 24), (-1, 126, 1161, 26), (-1, 123, 1162, 29), (-1, 120, 1163, 31), (-1, 117, 1164, 33), (-1, 114, 1165, 36), (-1, 112, 1166, 37), (-1, 113, 1167, 36), (-1, 115, 1168, 33), (-1, 116, 1169, 31), (-1, 118, 1170, 29), (-1, 119, 1171, 27), (-1, 121, 1172, 25), (-1, 122, 1173, 23), (-1, 124, 1174, 20), (-1, 126, 1175, 18), (-1, 127, 1176, 16), (-1, 129, 1177, 14), (-1, 130, 1178, 12), (-1, 132, 1179, 9), (-1, 133, 1180, 8), (-1, 135, 1181, 5), (-1, 136, 1182, 4), (-1, 138, 1183, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 568, 'y0': 590, 'y1': 1156, 'score': 1.0, 'id': None, 'points': ['0,589,-2,750,57,751,123,763,137,769,149,774,159,789,186,777,207,739,420,844,362,972,404,1029,387,1041,314,1086,492,1110,501,1117,506,1131,510,1155,536,1135,567,1020,521,1011,504,1009,489,1006,483,1002,464,970,456,958,459,823,435,819,431,813,420,808,383,801,371,793,365,781,354,774,351,768,380,637,372,637,348,726,330,732,311,733,296,733,284,730,269,732,255,727,243,714,233,709,218,700,212,696,203,702,197,714,174,735,168,747,152,723,101,673,65,640'], 'sub_photo_id': 0, 'rles': [(-1, 0, 590, 1), (-1, 0, 591, 2), (-1, 0, 592, 4), (-1, 0, 593, 5), (-1, 0, 594, 6), (-1, 0, 595, 8), (-1, 0, 596, 9), (-1, 0, 597, 10), (-1, 0, 598, 12), (-1, 0, 599, 13), (-1, 0, 600, 14), (-1, 0, 601, 15), (-1, 0, 602, 17), (-1, 0, 603, 18), (-1, 0, 604, 19), (-1, 0, 605, 21), (-1, 0, 606, 22), (-1, 0, 607, 23), (-1, 0, 608, 24), (-1, 0, 609, 26), (-1, 0, 610, 27), (-1, 0, 611, 28), (-1, 0, 612, 30), (-1, 0, 613, 31), (-1, 0, 614, 32), (-1, 0, 615, 34), (-1, 0, 616, 35), (-1, 0, 617, 36), (-1, 0, 618, 37), (-1, 0, 619, 39), (-1, 0, 620, 40), (-1, 0, 621, 41), (-1, 0, 622, 43), (-1, 0, 623, 44), (-1, 0, 624, 45), (-1, 0, 625, 46), (-1, 0, 626, 48), (-1, 0, 627, 49), (-1, 0, 628, 50), (-1, 0, 629, 52), (-1, 0, 630, 53), (-1, 0, 631, 54), (-1, 0, 632, 56), (-1, 0, 633, 57), (-1, 0, 634, 58), (-1, 0, 635, 59), (-1, 0, 636, 61), (-1, 0, 637, 62), (-1, 0, 638, 63), (-1, 373, 638, 9), (-1, 0, 639, 65), (-1, 373, 639, 9), (-1, 0, 640, 66), (-1, 372, 640, 10), (-1, 0, 641, 67), (-1, 372, 641, 9), (-1, 0, 642, 68), (-1, 372, 642, 9), (-1, 0, 643, 69), (-1, 372, 643, 9), (-1, 0, 644, 70), (-1, 371, 644, 10), (-1, 0, 645, 71), (-1, 371, 645, 9), (-1, 0, 646, 73), (-1, 371, 646, 9), (-1, 0, 647, 74), (-1, 371, 647, 9), (-1, 0, 648, 75), (-1, 370, 648, 10), (-1, 0, 649, 76), (-1, 370, 649, 10), (-1, 0, 650, 77), (-1, 370, 650, 9), (-1, 0, 651, 78), (-1, 369, 651, 10), (-1, 0, 652, 79), (-1, 369, 652, 10), (-1, 0, 653, 80), (-1, 369, 653, 10), (-1, 0, 654, 81), (-1, 369, 654, 9), (-1, 0, 655, 82), (-1, 368, 655, 10), (-1, 0, 656, 83), (-1, 368, 656, 10), (-1, 0, 657, 85), (-1, 368, 657, 10), (-1, 0, 658, 86), (-1, 368, 658, 10), (-1, 0, 659, 87), (-1, 367, 659, 10), (-1, 0, 660, 88), (-1, 367, 660, 10), (-1, 0, 661, 89), (-1, 367, 661, 10), (-1, 0, 662, 90), (-1, 367, 662, 10), (-1, 0, 663, 91), (-1, 366, 663, 10), (-1, 0, 664, 92), (-1, 366, 664, 10), (-1, 0, 665, 93), (-1, 366, 665, 10), (-1, 0, 666, 94), (-1, 365, 666, 11), (-1, 0, 667, 95), (-1, 365, 667, 11), (-1, 0, 668, 97), (-1, 365, 668, 10), (-1, 0, 669, 98), (-1, 365, 669, 10), (-1, 0, 670, 99), (-1, 364, 670, 11), (-1, 0, 671, 100), (-1, 364, 671, 11), (-1, 0, 672, 101), (-1, 364, 672, 10), (-1, 0, 673, 102), (-1, 364, 673, 10), (-1, 0, 674, 103), (-1, 363, 674, 11), (-1, 0, 675, 104), (-1, 363, 675, 11), (-1, 0, 676, 105), (-1, 363, 676, 11), (-1, 0, 677, 106), (-1, 362, 677, 11), (-1, 0, 678, 107), (-1, 362, 678, 11), (-1, 0, 679, 108), (-1, 362, 679, 11), (-1, 0, 680, 109), (-1, 362, 680, 11), (-1, 0, 681, 110), (-1, 361, 681, 11), (-1, 0, 682, 111), (-1, 361, 682, 11), (-1, 0, 683, 112), (-1, 361, 683, 11), (-1, 0, 684, 113), (-1, 361, 684, 11), (-1, 0, 685, 114), (-1, 360, 685, 12), (-1, 0, 686, 115), (-1, 360, 686, 11), (-1, 0, 687, 116), (-1, 360, 687, 11), (-1, 0, 688, 117), (-1, 360, 688, 11), (-1, 0, 689, 118), (-1, 359, 689, 12), (-1, 0, 690, 119), (-1, 359, 690, 11), (-1, 0, 691, 120), (-1, 359, 691, 11), (-1, 0, 692, 121), (-1, 358, 692, 12), (-1, 0, 693, 122), (-1, 358, 693, 12), (-1, 0, 694, 123), (-1, 358, 694, 12), (-1, 0, 695, 124), (-1, 358, 695, 11), (-1, 0, 696, 125), (-1, 357, 696, 12), (-1, 0, 697, 126), (-1, 213, 697, 1), (-1, 357, 697, 12), (-1, 0, 698, 127), (-1, 211, 698, 5), (-1, 357, 698, 12), (-1, 0, 699, 129), (-1, 210, 699, 7), (-1, 357, 699, 11), (-1, 0, 700, 130), (-1, 208, 700, 11), (-1, 356, 700, 12), (-1, 0, 701, 131), (-1, 207, 701, 13), (-1, 356, 701, 12), (-1, 0, 702, 132), (-1, 205, 702, 17), (-1, 356, 702, 12), (-1, 0, 703, 133), (-1, 204, 703, 20), (-1, 355, 703, 13), (-1, 0, 704, 134), (-1, 204, 704, 21), (-1, 355, 704, 12), (-1, 0, 705, 135), (-1, 203, 705, 24), (-1, 355, 705, 12), (-1, 0, 706, 136), (-1, 203, 706, 26), (-1, 355, 706, 12), (-1, 0, 707, 137), (-1, 202, 707, 28), (-1, 354, 707, 13), (-1, 0, 708, 138), (-1, 202, 708, 30), (-1, 354, 708, 13), (-1, 0, 709, 139), (-1, 201, 709, 33), (-1, 354, 709, 12), (-1, 0, 710, 140), (-1, 201, 710, 35), (-1, 354, 710, 12), (-1, 0, 711, 141), (-1, 200, 711, 38), (-1, 353, 711, 13), (-1, 0, 712, 142), (-1, 200, 712, 40), (-1, 353, 712, 13), (-1, 0, 713, 143), (-1, 199, 713, 43), (-1, 353, 713, 12), (-1, 0, 714, 144), (-1, 199, 714, 45), (-1, 353, 714, 12), (-1, 0, 715, 145), (-1, 198, 715, 47), (-1, 352, 715, 13), (-1, 0, 716, 146), (-1, 197, 716, 49), (-1, 352, 716, 13), (-1, 0, 717, 147), (-1, 196, 717, 51), (-1, 352, 717, 13), (-1, 0, 718, 148), (-1, 195, 718, 53), (-1, 351, 718, 13), (-1, 0, 719, 149), (-1, 194, 719, 55), (-1, 351, 719, 13), (-1, 0, 720, 150), (-1, 192, 720, 58), (-1, 351, 720, 13), (-1, 0, 721, 151), (-1, 191, 721, 60), (-1, 351, 721, 13), (-1, 0, 722, 152), (-1, 190, 722, 61), (-1, 350, 722, 13), (-1, 0, 723, 153), (-1, 189, 723, 63), (-1, 350, 723, 13), (-1, 0, 724, 154), (-1, 188, 724, 65), (-1, 350, 724, 13), (-1, 0, 725, 155), (-1, 187, 725, 67), (-1, 350, 725, 13), (-1, 0, 726, 155), (-1, 186, 726, 69), (-1, 349, 726, 14), (-1, 0, 727, 156), (-1, 185, 727, 71), (-1, 348, 727, 14), (-1, 0, 728, 157), (-1, 184, 728, 74), (-1, 345, 728, 17), (-1, 0, 729, 157), (-1, 183, 729, 78), (-1, 342, 729, 20), (-1, 0, 730, 158), (-1, 182, 730, 82), (-1, 339, 730, 23), (-1, 0, 731, 159), (-1, 180, 731, 86), (-1, 282, 731, 6), (-1, 336, 731, 25), (-1, 0, 732, 159), (-1, 179, 732, 90), (-1, 274, 732, 18), (-1, 333, 732, 28), (-1, 0, 733, 160), (-1, 178, 733, 118), (-1, 322, 733, 39), (-1, 0, 734, 161), (-1, 177, 734, 184), (-1, 0, 735, 161), (-1, 176, 735, 185), (-1, 0, 736, 162), (-1, 175, 736, 185), (-1, 0, 737, 163), (-1, 175, 737, 185), (-1, 0, 738, 163), (-1, 174, 738, 186), (-1, 0, 739, 164), (-1, 174, 739, 186), (-1, 0, 740, 165), (-1, 173, 740, 186), (-1, 0, 741, 165), (-1, 173, 741, 35), (-1, 210, 741, 149), (-1, 0, 742, 166), (-1, 172, 742, 36), (-1, 212, 742, 147), (-1, 0, 743, 167), (-1, 172, 743, 35), (-1, 214, 743, 145), (-1, 0, 744, 167), (-1, 171, 744, 36), (-1, 216, 744, 143), (-1, 0, 745, 168), (-1, 171, 745, 35), (-1, 218, 745, 140), (-1, 0, 746, 169), (-1, 170, 746, 36), (-1, 220, 746, 138), (-1, 0, 747, 169), (-1, 170, 747, 35), (-1, 222, 747, 136), (-1, 0, 748, 205), (-1, 224, 748, 134), (-1, 0, 749, 204), (-1, 226, 749, 131), (-1, 0, 750, 203), (-1, 228, 750, 129), (-1, 0, 751, 203), (-1, 230, 751, 127), (-1, 30, 752, 172), (-1, 232, 752, 125), (-1, 61, 753, 141), (-1, 234, 753, 123), (-1, 67, 754, 134), (-1, 236, 754, 120), (-1, 72, 755, 129), (-1, 238, 755, 118), (-1, 78, 756, 122), (-1, 240, 756, 116), (-1, 83, 757, 117), (-1, 242, 757, 114), (-1, 89, 758, 110), (-1, 244, 758, 111), (-1, 94, 759, 105), (-1, 246, 759, 109), (-1, 100, 760, 98), (-1, 248, 760, 107), (-1, 105, 761, 92), (-1, 250, 761, 105), (-1, 111, 762, 86), (-1, 252, 762, 103), (-1, 116, 763, 80), (-1, 254, 763, 100), (-1, 122, 764, 74), (-1, 256, 764, 98), (-1, 126, 765, 69), (-1, 258, 765, 96), (-1, 128, 766, 67), (-1, 260, 766, 94), (-1, 130, 767, 64), (-1, 262, 767, 91), (-1, 133, 768, 61), (-1, 264, 768, 89), (-1, 135, 769, 58), (-1, 266, 769, 87), (-1, 137, 770, 55), (-1, 268, 770, 85), (-1, 140, 771, 52), (-1, 270, 771, 84), (-1, 142, 772, 49), (-1, 272, 772, 82), (-1, 145, 773, 46), (-1, 274, 773, 81), (-1, 147, 774, 43), (-1, 276, 774, 79), (-1, 149, 775, 41), (-1, 278, 775, 78), (-1, 151, 776, 38), (-1, 281, 776, 77), (-1, 151, 777, 38), (-1, 283, 777, 76), (-1, 152, 778, 36), (-1, 285, 778, 76), (-1, 153, 779, 33), (-1, 287, 779, 76), (-1, 153, 780, 31), (-1, 289, 780, 75), (-1, 154, 781, 28), (-1, 291, 781, 75), (-1, 155, 782, 25), (-1, 293, 782, 74), (-1, 155, 783, 22), (-1, 295, 783, 72), (-1, 156, 784, 19), (-1, 297, 784, 71), (-1, 157, 785, 16), (-1, 299, 785, 69), (-1, 157, 786, 14), (-1, 301, 786, 68), (-1, 158, 787, 10), (-1, 303, 787, 66), (-1, 159, 788, 7), (-1, 305, 788, 65), (-1, 159, 789, 5), (-1, 307, 789, 63), (-1, 160, 790, 2), (-1, 309, 790, 62), (-1, 311, 791, 60), (-1, 313, 792, 59), (-1, 315, 793, 57), (-1, 317, 794, 56), (-1, 319, 795, 56), (-1, 321, 796, 55), (-1, 323, 797, 55), (-1, 325, 798, 54), (-1, 327, 799, 54), (-1, 329, 800, 53), (-1, 331, 801, 53), (-1, 333, 802, 54), (-1, 335, 803, 57), (-1, 337, 804, 61), (-1, 339, 805, 64), (-1, 341, 806, 67), (-1, 343, 807, 71), (-1, 345, 808, 74), (-1, 347, 809, 76), (-1, 349, 810, 76), (-1, 352, 811, 75), (-1, 354, 812, 75), (-1, 356, 813, 75), (-1, 358, 814, 75), (-1, 360, 815, 74), (-1, 362, 816, 72), (-1, 364, 817, 71), (-1, 366, 818, 70), (-1, 368, 819, 68), (-1, 370, 820, 70), (-1, 372, 821, 74), (-1, 374, 822, 78), (-1, 376, 823, 82), (-1, 378, 824, 83), (-1, 380, 825, 81), (-1, 382, 826, 79), (-1, 384, 827, 77), (-1, 386, 828, 75), (-1, 388, 829, 73), (-1, 390, 830, 71), (-1, 392, 831, 69), (-1, 394, 832, 67), (-1, 396, 833, 65), (-1, 398, 834, 63), (-1, 400, 835, 61), (-1, 402, 836, 59), (-1, 404, 837, 57), (-1, 406, 838, 55), (-1, 408, 839, 53), (-1, 410, 840, 51), (-1, 412, 841, 49), (-1, 414, 842, 47), (-1, 416, 843, 45), (-1, 418, 844, 43), (-1, 420, 845, 41), (-1, 421, 846, 40), (-1, 420, 847, 40), (-1, 420, 848, 40), (-1, 419, 849, 41), (-1, 419, 850, 41), (-1, 418, 851, 42), (-1, 418, 852, 42), (-1, 417, 853, 43), (-1, 417, 854, 43), (-1, 416, 855, 44), (-1, 416, 856, 44), (-1, 416, 857, 44), (-1, 415, 858, 45), (-1, 415, 859, 45), (-1, 414, 860, 46), (-1, 414, 861, 46), (-1, 413, 862, 47), (-1, 413, 863, 47), (-1, 412, 864, 48), (-1, 412, 865, 48), (-1, 411, 866, 49), (-1, 411, 867, 49), (-1, 411, 868, 49), (-1, 410, 869, 50), (-1, 410, 870, 50), (-1, 409, 871, 51), (-1, 409, 872, 51), (-1, 408, 873, 52), (-1, 408, 874, 52), (-1, 407, 875, 53), (-1, 407, 876, 53), (-1, 407, 877, 53), (-1, 406, 878, 54), (-1, 406, 879, 54), (-1, 405, 880, 55), (-1, 405, 881, 55), (-1, 404, 882, 56), (-1, 404, 883, 56), (-1, 403, 884, 57), (-1, 403, 885, 57), (-1, 402, 886, 58), (-1, 402, 887, 58), (-1, 402, 888, 58), (-1, 401, 889, 59), (-1, 401, 890, 59), (-1, 400, 891, 60), (-1, 400, 892, 59), (-1, 399, 893, 60), (-1, 399, 894, 60), (-1, 398, 895, 61), (-1, 398, 896, 61), (-1, 397, 897, 62), (-1, 397, 898, 62), (-1, 397, 899, 62), (-1, 396, 900, 63), (-1, 396, 901, 63), (-1, 395, 902, 64), (-1, 395, 903, 64), (-1, 394, 904, 65), (-1, 394, 905, 65), (-1, 393, 906, 66), (-1, 393, 907, 66), (-1, 392, 908, 67), (-1, 392, 909, 67), (-1, 392, 910, 67), (-1, 391, 911, 68), (-1, 391, 912, 68), (-1, 390, 913, 69), (-1, 390, 914, 69), (-1, 389, 915, 70), (-1, 389, 916, 70), (-1, 388, 917, 71), (-1, 388, 918, 71), (-1, 387, 919, 72), (-1, 387, 920, 72), (-1, 387, 921, 72), (-1, 386, 922, 73), (-1, 386, 923, 73), (-1, 385, 924, 74), (-1, 385, 925, 74), (-1, 384, 926, 75), (-1, 384, 927, 75), (-1, 383, 928, 76), (-1, 383, 929, 76), (-1, 382, 930, 77), (-1, 382, 931, 77), (-1, 382, 932, 77), (-1, 381, 933, 78), (-1, 381, 934, 78), (-1, 380, 935, 79), (-1, 380, 936, 79), (-1, 379, 937, 79), (-1, 379, 938, 79), (-1, 378, 939, 80), (-1, 378, 940, 80), (-1, 378, 941, 80), (-1, 377, 942, 81), (-1, 377, 943, 81), (-1, 376, 944, 82), (-1, 376, 945, 82), (-1, 375, 946, 83), (-1, 375, 947, 83), (-1, 374, 948, 84), (-1, 374, 949, 84), (-1, 373, 950, 85), (-1, 373, 951, 85), (-1, 373, 952, 85), (-1, 372, 953, 86), (-1, 372, 954, 86), (-1, 371, 955, 87), (-1, 371, 956, 87), (-1, 370, 957, 88), (-1, 370, 958, 88), (-1, 369, 959, 89), (-1, 369, 960, 90), (-1, 368, 961, 91), (-1, 368, 962, 92), (-1, 368, 963, 93), (-1, 367, 964, 94), (-1, 367, 965, 95), (-1, 366, 966, 97), (-1, 366, 967, 97), (-1, 365, 968, 99), (-1, 365, 969, 100), (-1, 364, 970, 101), (-1, 364, 971, 102), (-1, 363, 972, 104), (-1, 363, 973, 104), (-1, 364, 974, 104), (-1, 364, 975, 104), (-1, 365, 976, 104), (-1, 366, 977, 104), (-1, 367, 978, 103), (-1, 367, 979, 104), (-1, 368, 980, 103), (-1, 369, 981, 103), (-1, 370, 982, 103), (-1, 370, 983, 103), (-1, 371, 984, 103), (-1, 372, 985, 102), (-1, 373, 986, 102), (-1, 373, 987, 102), (-1, 374, 988, 102), (-1, 375, 989, 102), (-1, 376, 990, 101), (-1, 376, 991, 102), (-1, 377, 992, 101), (-1, 378, 993, 101), (-1, 378, 994, 102), (-1, 379, 995, 101), (-1, 380, 996, 101), (-1, 381, 997, 100), (-1, 381, 998, 101), (-1, 382, 999, 101), (-1, 383, 1000, 100), (-1, 384, 1001, 100), (-1, 384, 1002, 100), (-1, 385, 1003, 100), (-1, 386, 1004, 101), (-1, 387, 1005, 101), (-1, 387, 1006, 103), (-1, 388, 1007, 105), (-1, 389, 1008, 109), (-1, 390, 1009, 113), (-1, 390, 1010, 120), (-1, 391, 1011, 127), (-1, 392, 1012, 133), (-1, 392, 1013, 138), (-1, 393, 1014, 142), (-1, 394, 1015, 146), (-1, 395, 1016, 151), (-1, 395, 1017, 156), (-1, 396, 1018, 160), (-1, 397, 1019, 164), (-1, 398, 1020, 168), (-1, 398, 1021, 171), (-1, 399, 1022, 170), (-1, 400, 1023, 168), (-1, 401, 1024, 167), (-1, 401, 1025, 167), (-1, 402, 1026, 166), (-1, 403, 1027, 164), (-1, 404, 1028, 163), (-1, 404, 1029, 163), (-1, 405, 1030, 162), (-1, 403, 1031, 163), (-1, 402, 1032, 164), (-1, 401, 1033, 165), (-1, 399, 1034, 166), (-1, 398, 1035, 167), (-1, 396, 1036, 169), (-1, 395, 1037, 170), (-1, 393, 1038, 171), (-1, 392, 1039, 172), (-1, 391, 1040, 173), (-1, 389, 1041, 175), (-1, 388, 1042, 175), (-1, 386, 1043, 177), (-1, 384, 1044, 179), (-1, 383, 1045, 180), (-1, 381, 1046, 181), (-1, 380, 1047, 182), (-1, 378, 1048, 184), (-1, 376, 1049, 185), (-1, 375, 1050, 186), (-1, 373, 1051, 188), (-1, 371, 1052, 190), (-1, 370, 1053, 190), (-1, 368, 1054, 192), (-1, 367, 1055, 193), (-1, 365, 1056, 195), (-1, 363, 1057, 196), (-1, 362, 1058, 197), (-1, 360, 1059, 199), (-1, 358, 1060, 200), (-1, 357, 1061, 201), (-1, 355, 1062, 203), (-1, 354, 1063, 204), (-1, 352, 1064, 205), (-1, 350, 1065, 207), (-1, 349, 1066, 208), (-1, 347, 1067, 210), (-1, 346, 1068, 210), (-1, 344, 1069, 212), (-1, 342, 1070, 214), (-1, 341, 1071, 215), (-1, 339, 1072, 216), (-1, 337, 1073, 218), (-1, 336, 1074, 219), (-1, 334, 1075, 220), (-1, 333, 1076, 221), (-1, 331, 1077, 223), (-1, 329, 1078, 225), (-1, 328, 1079, 225), (-1, 326, 1080, 227), (-1, 324, 1081, 229), (-1, 323, 1082, 230), (-1, 321, 1083, 231), (-1, 320, 1084, 232), (-1, 318, 1085, 234), (-1, 316, 1086, 235), (-1, 315, 1087, 236), (-1, 319, 1088, 232), (-1, 327, 1089, 224), (-1, 334, 1090, 216), (-1, 341, 1091, 209), (-1, 349, 1092, 201), (-1, 356, 1093, 194), (-1, 364, 1094, 185), (-1, 371, 1095, 178), (-1, 379, 1096, 170), (-1, 386, 1097, 163), (-1, 393, 1098, 155), (-1, 401, 1099, 147), (-1, 408, 1100, 140), (-1, 416, 1101, 131), (-1, 423, 1102, 124), (-1, 430, 1103, 117), (-1, 438, 1104, 109), (-1, 445, 1105, 101), (-1, 453, 1106, 93), (-1, 460, 1107, 86), (-1, 468, 1108, 78), (-1, 475, 1109, 70), (-1, 482, 1110, 63), (-1, 490, 1111, 55), (-1, 494, 1112, 50), (-1, 495, 1113, 49), (-1, 497, 1114, 47), (-1, 498, 1115, 46), (-1, 499, 1116, 44), (-1, 501, 1117, 42), (-1, 502, 1118, 41), (-1, 502, 1119, 41), (-1, 503, 1120, 39), (-1, 503, 1121, 39), (-1, 503, 1122, 39), (-1, 504, 1123, 38), (-1, 504, 1124, 37), (-1, 504, 1125, 37), (-1, 505, 1126, 36), (-1, 505, 1127, 35), (-1, 506, 1128, 34), (-1, 506, 1129, 34), (-1, 506, 1130, 34), (-1, 507, 1131, 32), (-1, 507, 1132, 32), (-1, 507, 1133, 32), (-1, 507, 1134, 32), (-1, 507, 1135, 31), (-1, 508, 1136, 30), (-1, 508, 1137, 29), (-1, 508, 1138, 28), (-1, 508, 1139, 26), (-1, 508, 1140, 25), (-1, 508, 1141, 24), (-1, 509, 1142, 21), (-1, 509, 1143, 20), (-1, 509, 1144, 19), (-1, 509, 1145, 17), (-1, 509, 1146, 16), (-1, 509, 1147, 15), (-1, 510, 1148, 13), (-1, 510, 1149, 11), (-1, 510, 1150, 10), (-1, 510, 1151, 9), (-1, 510, 1152, 7), (-1, 510, 1153, 6), (-1, 511, 1154, 4), (-1, 511, 1155, 2), (-1, 511, 1156, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 2107752385, 'type': 3230, 'x0': 672, 'x1': 913, 'y0': 1259, 'y1': 1469, 'score': 1.0, 'id': None, 'points': ['846,1259,761,1294,729,1306,683,1372,671,1387,705,1450,717,1461,729,1461,753,1468,767,1468,801,1455,833,1448,893,1433,902,1429,906,1421,906,1408,905,1394,899,1375,912,1364'], 'sub_photo_id': 0, 'rles': [(-1, 846, 1259, 2), (-1, 844, 1260, 5), (-1, 842, 1261, 7), (-1, 839, 1262, 11), (-1, 837, 1263, 14), (-1, 835, 1264, 16), (-1, 832, 1265, 20), (-1, 830, 1266, 22), (-1, 827, 1267, 26), (-1, 825, 1268, 29), (-1, 823, 1269, 31), (-1, 820, 1270, 35), (-1, 818, 1271, 38), (-1, 816, 1272, 40), (-1, 813, 1273, 44), (-1, 811, 1274, 46), (-1, 809, 1275, 49), (-1, 806, 1276, 53), (-1, 804, 1277, 55), (-1, 801, 1278, 59), (-1, 799, 1279, 62), (-1, 797, 1280, 64), (-1, 794, 1281, 68), (-1, 792, 1282, 70), (-1, 790, 1283, 73), (-1, 787, 1284, 77), (-1, 785, 1285, 79), (-1, 783, 1286, 82), (-1, 780, 1287, 86), (-1, 778, 1288, 88), (-1, 775, 1289, 92), (-1, 773, 1290, 94), (-1, 771, 1291, 97), (-1, 768, 1292, 101), (-1, 766, 1293, 103), (-1, 764, 1294, 106), (-1, 761, 1295, 110), (-1, 758, 1296, 113), (-1, 756, 1297, 116), (-1, 753, 1298, 120), (-1, 750, 1299, 123), (-1, 748, 1300, 126), (-1, 745, 1301, 129), (-1, 742, 1302, 133), (-1, 740, 1303, 136), (-1, 737, 1304, 139), (-1, 734, 1305, 143), (-1, 732, 1306, 146), (-1, 730, 1307, 148), (-1, 729, 1308, 150), (-1, 729, 1309, 150), (-1, 728, 1310, 152), (-1, 727, 1311, 154), (-1, 727, 1312, 154), (-1, 726, 1313, 156), (-1, 725, 1314, 158), (-1, 724, 1315, 159), (-1, 724, 1316, 160), (-1, 723, 1317, 161), (-1, 722, 1318, 163), (-1, 722, 1319, 164), (-1, 721, 1320, 165), (-1, 720, 1321, 167), (-1, 720, 1322, 168), (-1, 719, 1323, 169), (-1, 718, 1324, 171), (-1, 717, 1325, 172), (-1, 717, 1326, 173), (-1, 716, 1327, 175), (-1, 715, 1328, 176), (-1, 715, 1329, 177), (-1, 714, 1330, 179), (-1, 713, 1331, 180), (-1, 713, 1332, 181), (-1, 712, 1333, 183), (-1, 711, 1334, 184), (-1, 710, 1335, 186), (-1, 710, 1336, 186), (-1, 709, 1337, 188), (-1, 708, 1338, 190), (-1, 708, 1339, 190), (-1, 707, 1340, 192), (-1, 706, 1341, 194), (-1, 706, 1342, 194), (-1, 705, 1343, 196), (-1, 704, 1344, 197), (-1, 704, 1345, 198), (-1, 703, 1346, 200), (-1, 702, 1347, 201), (-1, 701, 1348, 203), (-1, 701, 1349, 204), (-1, 700, 1350, 205), (-1, 699, 1351, 207), (-1, 699, 1352, 207), (-1, 698, 1353, 209), (-1, 697, 1354, 211), (-1, 697, 1355, 211), (-1, 696, 1356, 213), (-1, 695, 1357, 215), (-1, 694, 1358, 216), (-1, 694, 1359, 217), (-1, 693, 1360, 218), (-1, 692, 1361, 220), (-1, 692, 1362, 221), (-1, 691, 1363, 222), (-1, 690, 1364, 224), (-1, 690, 1365, 223), (-1, 689, 1366, 223), (-1, 688, 1367, 223), (-1, 687, 1368, 222), (-1, 687, 1369, 221), (-1, 686, 1370, 221), (-1, 685, 1371, 221), (-1, 685, 1372, 220), (-1, 684, 1373, 219), (-1, 683, 1374, 219), (-1, 682, 1375, 219), (-1, 682, 1376, 219), (-1, 681, 1377, 221), (-1, 680, 1378, 222), (-1, 679, 1379, 223), (-1, 678, 1380, 225), (-1, 678, 1381, 225), (-1, 677, 1382, 226), (-1, 676, 1383, 228), (-1, 675, 1384, 229), (-1, 674, 1385, 230), (-1, 674, 1386, 230), (-1, 673, 1387, 232), (-1, 672, 1388, 233), (-1, 673, 1389, 232), (-1, 673, 1390, 233), (-1, 674, 1391, 232), (-1, 674, 1392, 232), (-1, 675, 1393, 232), (-1, 675, 1394, 232), (-1, 676, 1395, 231), (-1, 676, 1396, 231), (-1, 677, 1397, 230), (-1, 677, 1398, 230), (-1, 678, 1399, 229), (-1, 678, 1400, 229), (-1, 679, 1401, 228), (-1, 680, 1402, 228), (-1, 680, 1403, 228), (-1, 681, 1404, 227), (-1, 681, 1405, 227), (-1, 682, 1406, 226), (-1, 682, 1407, 226), (-1, 683, 1408, 225), (-1, 683, 1409, 225), (-1, 684, 1410, 224), (-1, 684, 1411, 224), (-1, 685, 1412, 223), (-1, 685, 1413, 223), (-1, 686, 1414, 222), (-1, 687, 1415, 221), (-1, 687, 1416, 221), (-1, 688, 1417, 220), (-1, 688, 1418, 220), (-1, 689, 1419, 219), (-1, 689, 1420, 219), (-1, 690, 1421, 218), (-1, 690, 1422, 218), (-1, 691, 1423, 216), (-1, 691, 1424, 216), (-1, 692, 1425, 214), (-1, 693, 1426, 213), (-1, 693, 1427, 212), (-1, 694, 1428, 211), (-1, 694, 1429, 210), (-1, 695, 1430, 207), (-1, 695, 1431, 205), (-1, 696, 1432, 202), (-1, 696, 1433, 200), (-1, 697, 1434, 195), (-1, 697, 1435, 191), (-1, 698, 1436, 186), (-1, 698, 1437, 182), (-1, 699, 1438, 177), (-1, 700, 1439, 172), (-1, 700, 1440, 168), (-1, 701, 1441, 163), (-1, 701, 1442, 159), (-1, 702, 1443, 154), (-1, 702, 1444, 150), (-1, 703, 1445, 145), (-1, 703, 1446, 141), (-1, 704, 1447, 136), (-1, 704, 1448, 132), (-1, 705, 1449, 127), (-1, 705, 1450, 123), (-1, 706, 1451, 118), (-1, 707, 1452, 113), (-1, 708, 1453, 108), (-1, 709, 1454, 103), (-1, 710, 1455, 98), (-1, 711, 1456, 93), (-1, 713, 1457, 88), (-1, 714, 1458, 85), (-1, 715, 1459, 81), (-1, 716, 1460, 77), (-1, 717, 1461, 74), (-1, 718, 1462, 70), (-1, 732, 1463, 53), (-1, 736, 1464, 47), (-1, 739, 1465, 41), (-1, 743, 1466, 35), (-1, 746, 1467, 29), (-1, 749, 1468, 23), (-1, 753, 1469, 17)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 3, 'x1': 381, 'y0': 1141, 'y1': 1418, 'score': 1.0, 'id': None, 'points': ['207,1150,168,1195,158,1198,146,1197,134,1200,92,1249,75,1261,60,1276,18,1339,2,1371,11,1380,83,1417,83,1404,90,1390,95,1377,113,1369,131,1360,170,1350,300,1329,311,1327,380,1300,233,1281,231,1272,237,1230,236,1155,222,1140'], 'sub_photo_id': 0, 'rles': [(-1, 223, 1141, 1), (-1, 221, 1142, 4), (-1, 220, 1143, 6), (-1, 218, 1144, 9), (-1, 217, 1145, 11), (-1, 215, 1146, 14), (-1, 214, 1147, 16), (-1, 212, 1148, 19), (-1, 211, 1149, 20), (-1, 209, 1150, 23), (-1, 208, 1151, 25), (-1, 207, 1152, 27), (-1, 206, 1153, 29), (-1, 205, 1154, 31), (-1, 205, 1155, 32), (-1, 204, 1156, 34), (-1, 203, 1157, 35), (-1, 202, 1158, 36), (-1, 201, 1159, 37), (-1, 200, 1160, 38), (-1, 199, 1161, 39), (-1, 198, 1162, 40), (-1, 198, 1163, 40), (-1, 197, 1164, 41), (-1, 196, 1165, 42), (-1, 195, 1166, 43), (-1, 194, 1167, 44), (-1, 193, 1168, 45), (-1, 192, 1169, 46), (-1, 192, 1170, 46), (-1, 191, 1171, 47), (-1, 190, 1172, 48), (-1, 189, 1173, 49), (-1, 188, 1174, 50), (-1, 187, 1175, 51), (-1, 186, 1176, 52), (-1, 185, 1177, 53), (-1, 185, 1178, 53), (-1, 184, 1179, 54), (-1, 183, 1180, 55), (-1, 182, 1181, 56), (-1, 181, 1182, 57), (-1, 180, 1183, 58), (-1, 179, 1184, 59), (-1, 179, 1185, 59), (-1, 178, 1186, 60), (-1, 177, 1187, 61), (-1, 176, 1188, 62), (-1, 175, 1189, 63), (-1, 174, 1190, 64), (-1, 173, 1191, 65), (-1, 172, 1192, 66), (-1, 172, 1193, 66), (-1, 171, 1194, 68), (-1, 170, 1195, 69), (-1, 168, 1196, 71), (-1, 164, 1197, 75), (-1, 145, 1198, 9), (-1, 161, 1198, 78), (-1, 141, 1199, 98), (-1, 137, 1200, 102), (-1, 135, 1201, 104), (-1, 134, 1202, 105), (-1, 133, 1203, 106), (-1, 132, 1204, 107), (-1, 132, 1205, 107), (-1, 131, 1206, 108), (-1, 130, 1207, 109), (-1, 129, 1208, 110), (-1, 128, 1209, 111), (-1, 127, 1210, 112), (-1, 126, 1211, 113), (-1, 126, 1212, 113), (-1, 125, 1213, 114), (-1, 124, 1214, 115), (-1, 123, 1215, 116), (-1, 122, 1216, 117), (-1, 121, 1217, 118), (-1, 120, 1218, 119), (-1, 120, 1219, 119), (-1, 119, 1220, 120), (-1, 118, 1221, 121), (-1, 117, 1222, 122), (-1, 116, 1223, 123), (-1, 115, 1224, 124), (-1, 114, 1225, 125), (-1, 114, 1226, 125), (-1, 113, 1227, 126), (-1, 112, 1228, 127), (-1, 111, 1229, 128), (-1, 110, 1230, 129), (-1, 109, 1231, 130), (-1, 108, 1232, 131), (-1, 108, 1233, 131), (-1, 107, 1234, 132), (-1, 106, 1235, 132), (-1, 105, 1236, 133), (-1, 104, 1237, 134), (-1, 103, 1238, 135), (-1, 102, 1239, 136), (-1, 102, 1240, 136), (-1, 101, 1241, 137), (-1, 100, 1242, 137), (-1, 99, 1243, 138), (-1, 98, 1244, 139), (-1, 97, 1245, 140), (-1, 96, 1246, 141), (-1, 96, 1247, 141), (-1, 95, 1248, 142), (-1, 94, 1249, 142), (-1, 93, 1250, 143), (-1, 91, 1251, 145), (-1, 90, 1252, 146), (-1, 89, 1253, 147), (-1, 87, 1254, 149), (-1, 86, 1255, 150), (-1, 84, 1256, 151), (-1, 83, 1257, 152), (-1, 81, 1258, 154), (-1, 80, 1259, 155), (-1, 79, 1260, 156), (-1, 77, 1261, 158), (-1, 76, 1262, 159), (-1, 75, 1263, 159), (-1, 74, 1264, 160), (-1, 73, 1265, 161), (-1, 72, 1266, 162), (-1, 71, 1267, 163), (-1, 70, 1268, 164), (-1, 69, 1269, 165), (-1, 68, 1270, 165), (-1, 67, 1271, 166), (-1, 66, 1272, 167), (-1, 65, 1273, 168), (-1, 64, 1274, 169), (-1, 63, 1275, 170), (-1, 62, 1276, 172), (-1, 61, 1277, 173), (-1, 60, 1278, 174), (-1, 60, 1279, 174), (-1, 59, 1280, 176), (-1, 58, 1281, 177), (-1, 58, 1282, 180), (-1, 57, 1283, 189), (-1, 56, 1284, 198), (-1, 56, 1285, 206), (-1, 55, 1286, 214), (-1, 54, 1287, 223), (-1, 54, 1288, 231), (-1, 53, 1289, 240), (-1, 52, 1290, 248), (-1, 52, 1291, 256), (-1, 51, 1292, 265), (-1, 50, 1293, 273), (-1, 50, 1294, 281), (-1, 49, 1295, 290), (-1, 48, 1296, 299), (-1, 48, 1297, 306), (-1, 47, 1298, 315), (-1, 46, 1299, 324), (-1, 46, 1300, 332), (-1, 45, 1301, 337), (-1, 44, 1302, 336), (-1, 44, 1303, 334), (-1, 43, 1304, 332), (-1, 42, 1305, 331), (-1, 42, 1306, 328), (-1, 41, 1307, 326), (-1, 40, 1308, 325), (-1, 40, 1309, 322), (-1, 39, 1310, 321), (-1, 38, 1311, 319), (-1, 38, 1312, 317), (-1, 37, 1313, 315), (-1, 36, 1314, 314), (-1, 36, 1315, 311), (-1, 35, 1316, 309), (-1, 34, 1317, 308), (-1, 34, 1318, 305), (-1, 33, 1319, 304), (-1, 32, 1320, 302), (-1, 32, 1321, 300), (-1, 31, 1322, 298), (-1, 30, 1323, 297), (-1, 30, 1324, 294), (-1, 29, 1325, 292), (-1, 28, 1326, 291), (-1, 28, 1327, 288), (-1, 27, 1328, 287), (-1, 26, 1329, 284), (-1, 26, 1330, 278), (-1, 25, 1331, 273), (-1, 24, 1332, 268), (-1, 24, 1333, 262), (-1, 23, 1334, 257), (-1, 22, 1335, 252), (-1, 22, 1336, 245), (-1, 21, 1337, 240), (-1, 20, 1338, 235), (-1, 20, 1339, 229), (-1, 19, 1340, 224), (-1, 19, 1341, 217), (-1, 18, 1342, 212), (-1, 18, 1343, 206), (-1, 17, 1344, 201), (-1, 17, 1345, 195), (-1, 16, 1346, 190), (-1, 16, 1347, 183), (-1, 15, 1348, 178), (-1, 15, 1349, 172), (-1, 14, 1350, 167), (-1, 14, 1351, 161), (-1, 13, 1352, 157), (-1, 13, 1353, 153), (-1, 12, 1354, 150), (-1, 12, 1355, 146), (-1, 11, 1356, 143), (-1, 11, 1357, 139), (-1, 10, 1358, 136), (-1, 10, 1359, 132), (-1, 9, 1360, 129), (-1, 9, 1361, 125), (-1, 8, 1362, 123), (-1, 8, 1363, 121), (-1, 7, 1364, 120), (-1, 7, 1365, 118), (-1, 6, 1366, 117), (-1, 6, 1367, 115), (-1, 5, 1368, 114), (-1, 5, 1369, 112), (-1, 4, 1370, 111), (-1, 4, 1371, 109), (-1, 3, 1372, 108), (-1, 4, 1373, 105), (-1, 5, 1374, 102), (-1, 6, 1375, 98), (-1, 7, 1376, 95), (-1, 8, 1377, 92), (-1, 9, 1378, 89), (-1, 10, 1379, 87), (-1, 11, 1380, 85), (-1, 12, 1381, 84), (-1, 13, 1382, 82), (-1, 15, 1383, 80), (-1, 17, 1384, 78), (-1, 19, 1385, 75), (-1, 21, 1386, 73), (-1, 23, 1387, 71), (-1, 25, 1388, 68), (-1, 27, 1389, 66), (-1, 29, 1390, 63), (-1, 31, 1391, 61), (-1, 33, 1392, 59), (-1, 35, 1393, 56), (-1, 37, 1394, 54), (-1, 39, 1395, 51), (-1, 41, 1396, 49), (-1, 43, 1397, 46), (-1, 45, 1398, 44), (-1, 47, 1399, 41), (-1, 49, 1400, 39), (-1, 50, 1401, 37), (-1, 52, 1402, 35), (-1, 54, 1403, 32), (-1, 56, 1404, 30), (-1, 58, 1405, 27), (-1, 60, 1406, 25), (-1, 62, 1407, 23), (-1, 64, 1408, 21), (-1, 66, 1409, 19), (-1, 68, 1410, 17), (-1, 70, 1411, 15), (-1, 72, 1412, 13), (-1, 74, 1413, 11), (-1, 76, 1414, 9), (-1, 78, 1415, 7), (-1, 80, 1416, 5), (-1, 82, 1417, 3), (-1, 84, 1418, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 309, 'x1': 670, 'y0': 1304, 'y1': 1820, 'score': 1.0, 'id': None, 'points': ['381,1303,312,1324,357,1444,362,1465,366,1485,375,1495,381,1504,378,1521,377,1536,308,1642,396,1728,396,1741,342,1780,329,1819,461,1681,476,1684,492,1695,504,1701,512,1704,524,1717,533,1704,530,1693,516,1692,512,1680,507,1671,500,1666,473,1644,458,1639,447,1635,435,1629,429,1614,422,1599,416,1587,413,1576,411,1560,411,1546,416,1525,435,1519,456,1516,587,1470,611,1470,629,1462,636,1458,669,1386,624,1393,608,1396,593,1399,579,1404,569,1405,549,1408,524,1414,504,1417,489,1422,465,1426,441,1434,420,1437,402,1431,396,1423,386,1413,380,1404,371,1389,363,1372,356,1354,351,1344,351,1327'], 'sub_photo_id': 0, 'rles': [(-1, 381, 1304, 2), (-1, 378, 1305, 4), (-1, 374, 1306, 7), (-1, 371, 1307, 8), (-1, 368, 1308, 10), (-1, 364, 1309, 13), (-1, 361, 1310, 15), (-1, 358, 1311, 16), (-1, 355, 1312, 18), (-1, 351, 1313, 21), (-1, 348, 1314, 23), (-1, 345, 1315, 24), (-1, 341, 1316, 27), (-1, 338, 1317, 29), (-1, 335, 1318, 31), (-1, 332, 1319, 32), (-1, 328, 1320, 35), (-1, 325, 1321, 37), (-1, 322, 1322, 39), (-1, 318, 1323, 41), (-1, 315, 1324, 43), (-1, 313, 1325, 44), (-1, 313, 1326, 43), (-1, 314, 1327, 40), (-1, 314, 1328, 39), (-1, 314, 1329, 39), (-1, 315, 1330, 38), (-1, 315, 1331, 38), (-1, 316, 1332, 37), (-1, 316, 1333, 37), (-1, 316, 1334, 37), (-1, 317, 1335, 36), (-1, 317, 1336, 36), (-1, 317, 1337, 36), (-1, 318, 1338, 35), (-1, 318, 1339, 35), (-1, 319, 1340, 34), (-1, 319, 1341, 34), (-1, 319, 1342, 34), (-1, 320, 1343, 33), (-1, 320, 1344, 33), (-1, 320, 1345, 33), (-1, 321, 1346, 32), (-1, 321, 1347, 33), (-1, 322, 1348, 32), (-1, 322, 1349, 33), (-1, 322, 1350, 33), (-1, 323, 1351, 33), (-1, 323, 1352, 33), (-1, 323, 1353, 34), (-1, 324, 1354, 33), (-1, 324, 1355, 34), (-1, 325, 1356, 33), (-1, 325, 1357, 34), (-1, 325, 1358, 34), (-1, 326, 1359, 34), (-1, 326, 1360, 34), (-1, 326, 1361, 34), (-1, 327, 1362, 34), (-1, 327, 1363, 34), (-1, 328, 1364, 33), (-1, 328, 1365, 34), (-1, 328, 1366, 34), (-1, 329, 1367, 34), (-1, 329, 1368, 34), (-1, 329, 1369, 34), (-1, 330, 1370, 34), (-1, 330, 1371, 34), (-1, 331, 1372, 34), (-1, 331, 1373, 34), (-1, 331, 1374, 34), (-1, 332, 1375, 34), (-1, 332, 1376, 34), (-1, 332, 1377, 35), (-1, 333, 1378, 34), (-1, 333, 1379, 35), (-1, 334, 1380, 34), (-1, 334, 1381, 35), (-1, 334, 1382, 35), (-1, 335, 1383, 35), (-1, 335, 1384, 35), (-1, 335, 1385, 36), (-1, 336, 1386, 35), (-1, 336, 1387, 36), (-1, 667, 1387, 4), (-1, 337, 1388, 35), (-1, 661, 1388, 10), (-1, 337, 1389, 36), (-1, 654, 1389, 16), (-1, 337, 1390, 36), (-1, 648, 1390, 22), (-1, 338, 1391, 36), (-1, 642, 1391, 27), (-1, 338, 1392, 36), (-1, 635, 1392, 34), (-1, 338, 1393, 37), (-1, 629, 1393, 39), (-1, 339, 1394, 36), (-1, 623, 1394, 45), (-1, 339, 1395, 37), (-1, 617, 1395, 50), (-1, 340, 1396, 37), (-1, 612, 1396, 55), (-1, 340, 1397, 37), (-1, 607, 1397, 59), (-1, 340, 1398, 38), (-1, 602, 1398, 64), (-1, 341, 1399, 37), (-1, 597, 1399, 69), (-1, 341, 1400, 38), (-1, 593, 1400, 72), (-1, 341, 1401, 39), (-1, 590, 1401, 75), (-1, 342, 1402, 38), (-1, 587, 1402, 77), (-1, 342, 1403, 39), (-1, 585, 1403, 79), (-1, 343, 1404, 38), (-1, 582, 1404, 81), (-1, 343, 1405, 39), (-1, 575, 1405, 88), (-1, 343, 1406, 40), (-1, 567, 1406, 95), (-1, 344, 1407, 39), (-1, 560, 1407, 102), (-1, 344, 1408, 40), (-1, 554, 1408, 107), (-1, 344, 1409, 41), (-1, 548, 1409, 113), (-1, 345, 1410, 40), (-1, 544, 1410, 116), (-1, 345, 1411, 41), (-1, 540, 1411, 120), (-1, 346, 1412, 41), (-1, 536, 1412, 124), (-1, 346, 1413, 41), (-1, 532, 1413, 127), (-1, 346, 1414, 42), (-1, 528, 1414, 131), (-1, 347, 1415, 42), (-1, 522, 1415, 136), (-1, 347, 1416, 43), (-1, 515, 1416, 143), (-1, 347, 1417, 44), (-1, 509, 1417, 148), (-1, 348, 1418, 44), (-1, 504, 1418, 153), (-1, 348, 1419, 45), (-1, 501, 1419, 155), (-1, 349, 1420, 45), (-1, 498, 1420, 158), (-1, 349, 1421, 46), (-1, 495, 1421, 160), (-1, 349, 1422, 47), (-1, 492, 1422, 163), (-1, 350, 1423, 47), (-1, 487, 1423, 168), (-1, 350, 1424, 48), (-1, 481, 1424, 173), (-1, 350, 1425, 49), (-1, 475, 1425, 179), (-1, 351, 1426, 48), (-1, 469, 1426, 184), (-1, 351, 1427, 49), (-1, 465, 1427, 188), (-1, 352, 1428, 49), (-1, 462, 1428, 190), (-1, 352, 1429, 50), (-1, 459, 1429, 193), (-1, 352, 1430, 50), (-1, 456, 1430, 195), (-1, 353, 1431, 50), (-1, 453, 1431, 198), (-1, 353, 1432, 52), (-1, 450, 1432, 200), (-1, 353, 1433, 55), (-1, 447, 1433, 203), (-1, 354, 1434, 57), (-1, 444, 1434, 205), (-1, 354, 1435, 60), (-1, 439, 1435, 210), (-1, 355, 1436, 62), (-1, 432, 1436, 217), (-1, 355, 1437, 65), (-1, 425, 1437, 223), (-1, 355, 1438, 293), (-1, 356, 1439, 291), (-1, 356, 1440, 291), (-1, 356, 1441, 290), (-1, 357, 1442, 289), (-1, 357, 1443, 288), (-1, 358, 1444, 287), (-1, 358, 1445, 286), (-1, 358, 1446, 286), (-1, 358, 1447, 286), (-1, 359, 1448, 284), (-1, 359, 1449, 284), (-1, 359, 1450, 283), (-1, 359, 1451, 283), (-1, 360, 1452, 281), (-1, 360, 1453, 281), (-1, 360, 1454, 280), (-1, 360, 1455, 280), (-1, 361, 1456, 278), (-1, 361, 1457, 278), (-1, 361, 1458, 277), (-1, 361, 1459, 277), (-1, 362, 1460, 275), (-1, 362, 1461, 273), (-1, 362, 1462, 271), (-1, 362, 1463, 269), (-1, 363, 1464, 266), (-1, 363, 1465, 264), (-1, 363, 1466, 262), (-1, 363, 1467, 260), (-1, 363, 1468, 257), (-1, 364, 1469, 254), (-1, 364, 1470, 252), (-1, 364, 1471, 250), (-1, 364, 1472, 223), (-1, 364, 1473, 220), (-1, 365, 1474, 216), (-1, 365, 1475, 214), (-1, 365, 1476, 211), (-1, 365, 1477, 208), (-1, 365, 1478, 205), (-1, 366, 1479, 201), (-1, 366, 1480, 198), (-1, 366, 1481, 195), (-1, 366, 1482, 193), (-1, 366, 1483, 190), (-1, 367, 1484, 186), (-1, 367, 1485, 183), (-1, 367, 1486, 180), (-1, 368, 1487, 176), (-1, 369, 1488, 173), (-1, 370, 1489, 169), (-1, 371, 1490, 165), (-1, 371, 1491, 162), (-1, 372, 1492, 158), (-1, 373, 1493, 154), (-1, 374, 1494, 150), (-1, 375, 1495, 147), (-1, 376, 1496, 143), (-1, 377, 1497, 139), (-1, 377, 1498, 136), (-1, 378, 1499, 132), (-1, 379, 1500, 128), (-1, 379, 1501, 125), (-1, 380, 1502, 122), (-1, 381, 1503, 118), (-1, 381, 1504, 115), (-1, 382, 1505, 111), (-1, 382, 1506, 108), (-1, 382, 1507, 105), (-1, 381, 1508, 104), (-1, 381, 1509, 101), (-1, 381, 1510, 98), (-1, 381, 1511, 95), (-1, 381, 1512, 92), (-1, 381, 1513, 89), (-1, 380, 1514, 87), (-1, 380, 1515, 85), (-1, 380, 1516, 82), (-1, 380, 1517, 79), (-1, 380, 1518, 74), (-1, 380, 1519, 67), (-1, 379, 1520, 61), (-1, 379, 1521, 56), (-1, 379, 1522, 53), (-1, 379, 1523, 50), (-1, 379, 1524, 46), (-1, 379, 1525, 43), (-1, 379, 1526, 40), (-1, 379, 1527, 39), (-1, 379, 1528, 39), (-1, 379, 1529, 38), (-1, 378, 1530, 39), (-1, 378, 1531, 39), (-1, 378, 1532, 39), (-1, 378, 1533, 38), (-1, 378, 1534, 38), (-1, 378, 1535, 38), (-1, 378, 1536, 38), (-1, 378, 1537, 37), (-1, 377, 1538, 38), (-1, 377, 1539, 38), (-1, 376, 1540, 39), (-1, 375, 1541, 39), (-1, 375, 1542, 39), (-1, 374, 1543, 40), (-1, 373, 1544, 41), (-1, 373, 1545, 40), (-1, 372, 1546, 41), (-1, 371, 1547, 42), (-1, 371, 1548, 42), (-1, 370, 1549, 43), (-1, 370, 1550, 43), (-1, 369, 1551, 44), (-1, 368, 1552, 45), (-1, 368, 1553, 45), (-1, 367, 1554, 46), (-1, 366, 1555, 47), (-1, 366, 1556, 47), (-1, 365, 1557, 48), (-1, 364, 1558, 49), (-1, 364, 1559, 49), (-1, 363, 1560, 50), (-1, 362, 1561, 51), (-1, 362, 1562, 51), (-1, 361, 1563, 52), (-1, 360, 1564, 53), (-1, 360, 1565, 53), (-1, 359, 1566, 55), (-1, 358, 1567, 56), (-1, 358, 1568, 56), (-1, 357, 1569, 57), (-1, 357, 1570, 57), (-1, 356, 1571, 58), (-1, 355, 1572, 59), (-1, 355, 1573, 59), (-1, 354, 1574, 61), (-1, 353, 1575, 62), (-1, 353, 1576, 62), (-1, 352, 1577, 63), (-1, 351, 1578, 64), (-1, 351, 1579, 65), (-1, 350, 1580, 66), (-1, 349, 1581, 67), (-1, 349, 1582, 67), (-1, 348, 1583, 69), (-1, 347, 1584, 70), (-1, 347, 1585, 70), (-1, 346, 1586, 71), (-1, 345, 1587, 73), (-1, 345, 1588, 73), (-1, 344, 1589, 74), (-1, 344, 1590, 75), (-1, 343, 1591, 76), (-1, 342, 1592, 78), (-1, 342, 1593, 78), (-1, 341, 1594, 80), (-1, 340, 1595, 81), (-1, 340, 1596, 82), (-1, 339, 1597, 83), (-1, 338, 1598, 85), (-1, 338, 1599, 85), (-1, 337, 1600, 87), (-1, 336, 1601, 88), (-1, 336, 1602, 89), (-1, 335, 1603, 90), (-1, 334, 1604, 92), (-1, 334, 1605, 92), (-1, 333, 1606, 94), (-1, 332, 1607, 95), (-1, 332, 1608, 96), (-1, 331, 1609, 97), (-1, 330, 1610, 99), (-1, 330, 1611, 99), (-1, 329, 1612, 101), (-1, 329, 1613, 101), (-1, 328, 1614, 103), (-1, 327, 1615, 104), (-1, 327, 1616, 104), (-1, 326, 1617, 106), (-1, 325, 1618, 107), (-1, 325, 1619, 108), (-1, 324, 1620, 109), (-1, 323, 1621, 110), (-1, 323, 1622, 111), (-1, 322, 1623, 112), (-1, 321, 1624, 114), (-1, 321, 1625, 114), (-1, 320, 1626, 115), (-1, 319, 1627, 117), (-1, 319, 1628, 117), (-1, 318, 1629, 119), (-1, 317, 1630, 121), (-1, 317, 1631, 123), (-1, 316, 1632, 126), (-1, 316, 1633, 128), (-1, 315, 1634, 131), (-1, 314, 1635, 134), (-1, 314, 1636, 136), (-1, 313, 1637, 140), (-1, 312, 1638, 143), (-1, 312, 1639, 146), (-1, 311, 1640, 150), (-1, 310, 1641, 154), (-1, 310, 1642, 157), (-1, 309, 1643, 161), (-1, 310, 1644, 163), (-1, 311, 1645, 164), (-1, 312, 1646, 164), (-1, 313, 1647, 165), (-1, 314, 1648, 165), (-1, 315, 1649, 165), (-1, 316, 1650, 165), (-1, 317, 1651, 165), (-1, 318, 1652, 166), (-1, 319, 1653, 166), (-1, 320, 1654, 166), (-1, 321, 1655, 166), (-1, 322, 1656, 167), (-1, 323, 1657, 167), (-1, 324, 1658, 167), (-1, 325, 1659, 167), (-1, 326, 1660, 168), (-1, 327, 1661, 168), (-1, 328, 1662, 168), (-1, 329, 1663, 168), (-1, 330, 1664, 168), (-1, 332, 1665, 168), (-1, 333, 1666, 168), (-1, 334, 1667, 168), (-1, 335, 1668, 169), (-1, 336, 1669, 169), (-1, 337, 1670, 169), (-1, 338, 1671, 170), (-1, 339, 1672, 170), (-1, 340, 1673, 170), (-1, 341, 1674, 169), (-1, 342, 1675, 169), (-1, 343, 1676, 168), (-1, 344, 1677, 168), (-1, 345, 1678, 167), (-1, 346, 1679, 167), (-1, 347, 1680, 166), (-1, 348, 1681, 166), (-1, 349, 1682, 165), (-1, 350, 1683, 112), (-1, 465, 1683, 50), (-1, 351, 1684, 110), (-1, 470, 1684, 45), (-1, 352, 1685, 108), (-1, 475, 1685, 40), (-1, 353, 1686, 106), (-1, 478, 1686, 38), (-1, 354, 1687, 104), (-1, 480, 1687, 36), (-1, 355, 1688, 102), (-1, 481, 1688, 35), (-1, 356, 1689, 100), (-1, 483, 1689, 34), (-1, 357, 1690, 98), (-1, 484, 1690, 33), (-1, 358, 1691, 96), (-1, 486, 1691, 31), (-1, 359, 1692, 94), (-1, 487, 1692, 31), (-1, 360, 1693, 92), (-1, 488, 1693, 37), (-1, 361, 1694, 91), (-1, 490, 1694, 42), (-1, 362, 1695, 89), (-1, 491, 1695, 41), (-1, 363, 1696, 87), (-1, 493, 1696, 40), (-1, 364, 1697, 85), (-1, 495, 1697, 38), (-1, 365, 1698, 83), (-1, 497, 1698, 36), (-1, 366, 1699, 81), (-1, 499, 1699, 34), (-1, 367, 1700, 79), (-1, 501, 1700, 33), (-1, 368, 1701, 77), (-1, 503, 1701, 31), (-1, 369, 1702, 75), (-1, 505, 1702, 29), (-1, 370, 1703, 73), (-1, 507, 1703, 27), (-1, 371, 1704, 71), (-1, 510, 1704, 25), (-1, 372, 1705, 69), (-1, 512, 1705, 23), (-1, 373, 1706, 67), (-1, 514, 1706, 20), (-1, 374, 1707, 65), (-1, 515, 1707, 19), (-1, 376, 1708, 62), (-1, 516, 1708, 17), (-1, 377, 1709, 60), (-1, 517, 1709, 15), (-1, 378, 1710, 58), (-1, 518, 1710, 14), (-1, 379, 1711, 56), (-1, 519, 1711, 12), (-1, 380, 1712, 54), (-1, 519, 1712, 11), (-1, 381, 1713, 52), (-1, 520, 1713, 9), (-1, 382, 1714, 50), (-1, 521, 1714, 8), (-1, 383, 1715, 48), (-1, 522, 1715, 6), (-1, 384, 1716, 46), (-1, 523, 1716, 4), (-1, 385, 1717, 45), (-1, 524, 1717, 3), (-1, 386, 1718, 43), (-1, 525, 1718, 1), (-1, 387, 1719, 41), (-1, 388, 1720, 39), (-1, 389, 1721, 37), (-1, 390, 1722, 35), (-1, 391, 1723, 33), (-1, 392, 1724, 31), (-1, 393, 1725, 29), (-1, 394, 1726, 27), (-1, 395, 1727, 25), (-1, 396, 1728, 23), (-1, 397, 1729, 21), (-1, 397, 1730, 20), (-1, 397, 1731, 19), (-1, 397, 1732, 18), (-1, 397, 1733, 17), (-1, 397, 1734, 16), (-1, 397, 1735, 15), (-1, 397, 1736, 14), (-1, 397, 1737, 13), (-1, 397, 1738, 12), (-1, 397, 1739, 11), (-1, 397, 1740, 11), (-1, 397, 1741, 10), (-1, 397, 1742, 9), (-1, 395, 1743, 10), (-1, 394, 1744, 10), (-1, 393, 1745, 10), (-1, 391, 1746, 11), (-1, 390, 1747, 11), (-1, 388, 1748, 12), (-1, 387, 1749, 12), (-1, 386, 1750, 12), (-1, 384, 1751, 13), (-1, 383, 1752, 13), (-1, 382, 1753, 13), (-1, 380, 1754, 14), (-1, 379, 1755, 14), (-1, 377, 1756, 15), (-1, 376, 1757, 15), (-1, 375, 1758, 15), (-1, 373, 1759, 16), (-1, 372, 1760, 16), (-1, 370, 1761, 17), (-1, 369, 1762, 17), (-1, 368, 1763, 18), (-1, 366, 1764, 19), (-1, 365, 1765, 19), (-1, 364, 1766, 19), (-1, 362, 1767, 20), (-1, 361, 1768, 20), (-1, 359, 1769, 21), (-1, 358, 1770, 21), (-1, 357, 1771, 21), (-1, 355, 1772, 22), (-1, 354, 1773, 22), (-1, 352, 1774, 23), (-1, 351, 1775, 23), (-1, 350, 1776, 23), (-1, 348, 1777, 24), (-1, 347, 1778, 24), (-1, 346, 1779, 24), (-1, 344, 1780, 25), (-1, 343, 1781, 25), (-1, 343, 1782, 24), (-1, 342, 1783, 24), (-1, 342, 1784, 23), (-1, 342, 1785, 22), (-1, 341, 1786, 23), (-1, 341, 1787, 22), (-1, 341, 1788, 21), (-1, 340, 1789, 21), (-1, 340, 1790, 20), (-1, 340, 1791, 19), (-1, 339, 1792, 19), (-1, 339, 1793, 18), (-1, 339, 1794, 17), (-1, 338, 1795, 17), (-1, 338, 1796, 16), (-1, 338, 1797, 15), (-1, 337, 1798, 15), (-1, 337, 1799, 14), (-1, 337, 1800, 13), (-1, 336, 1801, 13), (-1, 336, 1802, 12), (-1, 336, 1803, 11), (-1, 335, 1804, 11), (-1, 335, 1805, 10), (-1, 335, 1806, 9), (-1, 334, 1807, 9), (-1, 334, 1808, 8), (-1, 334, 1809, 8), (-1, 333, 1810, 8), (-1, 333, 1811, 7), (-1, 333, 1812, 6), (-1, 332, 1813, 6), (-1, 332, 1814, 5), (-1, 332, 1815, 4), (-1, 331, 1816, 4), (-1, 331, 1817, 3), (-1, 331, 1818, 2), (-1, 330, 1819, 2), (-1, 330, 1820, 1)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 1438, 'y0': 529, 'y1': 2158, 'score': 1.0, 'id': None, 'points': ['1434,2157,0,2159,-2,2023,24,2028,44,2029,66,2088,78,2088,107,2080,126,2068,198,2079,180,1983,195,1978,206,1972,221,1954,198,1929,65,1798,104,1765,186,1797,246,1857,272,1837,291,1846,314,1848,324,1833,353,1855,353,1867,362,1882,371,1896,390,1911,401,1917,560,1764,558,1755,552,1750,534,1734,527,1725,522,1720,533,1704,552,1696,566,1702,635,1666,720,1636,726,1627,717,1603,702,1567,674,1513,659,1495,651,1482,635,1461,668,1387,701,1446,710,1458,722,1464,738,1464,753,1470,797,1458,828,1450,842,1450,873,1441,894,1436,908,1429,909,1414,900,1375,911,1366,912,1358,848,1265,839,1264,725,1314,729,1303,740,1291,761,1246,750,1227,731,1032,716,952,725,946,732,930,725,924,719,909,711,889,707,868,693,846,711,772,764,741,768,732,776,721,818,700,842,694,863,685,888,675,935,664,936,679,936,688,1211,877,1227,875,1236,884,1241,895,1242,910,1238,917,1226,931,1220,943,1229,953,1232,967,1238,977,1259,974,1277,973,1298,970,1317,970,1331,962,1349,940,1419,928,1413,713,1344,725,1392,667,1407,670,1415,673,1428,532,1438,529'], 'sub_photo_id': 0, 'rles': [(-1, 1437, 529, 2), (-1, 1433, 530, 6), (-1, 1430, 531, 9), (-1, 1428, 532, 11), (-1, 1428, 533, 11), (-1, 1428, 534, 11), (-1, 1428, 535, 11), (-1, 1428, 536, 11), (-1, 1428, 537, 11), (-1, 1427, 538, 12), (-1, 1427, 539, 12), (-1, 1427, 540, 12), (-1, 1427, 541, 12), (-1, 1427, 542, 12), (-1, 1427, 543, 12), (-1, 1427, 544, 12), (-1, 1427, 545, 12), (-1, 1427, 546, 12), (-1, 1427, 547, 12), (-1, 1427, 548, 12), (-1, 1427, 549, 12), (-1, 1426, 550, 13), (-1, 1426, 551, 13), (-1, 1426, 552, 13), (-1, 1426, 553, 13), (-1, 1426, 554, 13), (-1, 1426, 555, 13), (-1, 1426, 556, 13), (-1, 1426, 557, 13), (-1, 1426, 558, 13), (-1, 1426, 559, 13), (-1, 1426, 560, 13), (-1, 1426, 561, 13), (-1, 1425, 562, 14), (-1, 1425, 563, 14), (-1, 1425, 564, 14), (-1, 1425, 565, 14), (-1, 1425, 566, 14), (-1, 1425, 567, 14), (-1, 1425, 568, 14), (-1, 1425, 569, 14), (-1, 1425, 570, 14), (-1, 1425, 571, 14), (-1, 1425, 572, 14), (-1, 1425, 573, 14), (-1, 1424, 574, 15), (-1, 1424, 575, 15), (-1, 1424, 576, 15), (-1, 1424, 577, 15), (-1, 1424, 578, 15), (-1, 1424, 579, 15), (-1, 1424, 580, 15), (-1, 1424, 581, 15), (-1, 1424, 582, 15), (-1, 1424, 583, 15), (-1, 1424, 584, 15), (-1, 1423, 585, 16), (-1, 1423, 586, 16), (-1, 1423, 587, 16), (-1, 1423, 588, 16), (-1, 1423, 589, 16), (-1, 1423, 590, 16), (-1, 1423, 591, 16), (-1, 1423, 592, 16), (-1, 1423, 593, 16), (-1, 1423, 594, 16), (-1, 1423, 595, 16), (-1, 1423, 596, 16), (-1, 1422, 597, 17), (-1, 1422, 598, 17), (-1, 1422, 599, 17), (-1, 1422, 600, 17), (-1, 1422, 601, 17), (-1, 1422, 602, 17), (-1, 1422, 603, 17), (-1, 1422, 604, 17), (-1, 1422, 605, 17), (-1, 1422, 606, 17), (-1, 1422, 607, 17), (-1, 1422, 608, 17), (-1, 1421, 609, 18), (-1, 1421, 610, 18), (-1, 1421, 611, 18), (-1, 1421, 612, 18), (-1, 1421, 613, 18), (-1, 1421, 614, 18), (-1, 1421, 615, 18), (-1, 1421, 616, 18), (-1, 1421, 617, 18), (-1, 1421, 618, 18), (-1, 1421, 619, 18), (-1, 1421, 620, 18), (-1, 1420, 621, 19), (-1, 1420, 622, 19), (-1, 1420, 623, 19), (-1, 1420, 624, 19), (-1, 1420, 625, 19), (-1, 1420, 626, 19), (-1, 1420, 627, 19), (-1, 1420, 628, 19), (-1, 1420, 629, 19), (-1, 1420, 630, 19), (-1, 1420, 631, 19), (-1, 1419, 632, 20), (-1, 1419, 633, 20), (-1, 1419, 634, 20), (-1, 1419, 635, 20), (-1, 1419, 636, 20), (-1, 1419, 637, 20), (-1, 1419, 638, 20), (-1, 1419, 639, 20), (-1, 1419, 640, 20), (-1, 1419, 641, 20), (-1, 1419, 642, 20), (-1, 1419, 643, 20), (-1, 1418, 644, 21), (-1, 1418, 645, 21), (-1, 1418, 646, 21), (-1, 1418, 647, 21), (-1, 1418, 648, 21), (-1, 1418, 649, 21), (-1, 1418, 650, 21), (-1, 1418, 651, 21), (-1, 1418, 652, 21), (-1, 1418, 653, 21), (-1, 1418, 654, 21), (-1, 1418, 655, 21), (-1, 1417, 656, 22), (-1, 1417, 657, 22), (-1, 1417, 658, 22), (-1, 1417, 659, 22), (-1, 1417, 660, 22), (-1, 1417, 661, 22), (-1, 1417, 662, 22), (-1, 1417, 663, 22), (-1, 1417, 664, 22), (-1, 934, 665, 3), (-1, 1417, 665, 22), (-1, 930, 666, 7), (-1, 1417, 666, 22), (-1, 926, 667, 11), (-1, 1393, 667, 3), (-1, 1417, 667, 22), (-1, 922, 668, 15), (-1, 1392, 668, 9), (-1, 1416, 668, 23), (-1, 917, 669, 20), (-1, 1391, 669, 15), (-1, 1416, 669, 23), (-1, 913, 670, 24), (-1, 1391, 670, 19), (-1, 1416, 670, 23), (-1, 909, 671, 28), (-1, 1390, 671, 23), (-1, 1416, 671, 23), (-1, 904, 672, 33), (-1, 1389, 672, 26), (-1, 1416, 672, 23), (-1, 900, 673, 38), (-1, 1388, 673, 51), (-1, 896, 674, 42), (-1, 1387, 674, 52), (-1, 892, 675, 46), (-1, 1386, 675, 53), (-1, 888, 676, 50), (-1, 1386, 676, 53), (-1, 886, 677, 52), (-1, 1385, 677, 54), (-1, 883, 678, 55), (-1, 1384, 678, 55), (-1, 881, 679, 57), (-1, 1383, 679, 56), (-1, 878, 680, 60), (-1, 1382, 680, 57), (-1, 876, 681, 62), (-1, 1381, 681, 58), (-1, 873, 682, 65), (-1, 1381, 682, 58), (-1, 871, 683, 67), (-1, 1380, 683, 59), (-1, 868, 684, 70), (-1, 1379, 684, 60), (-1, 866, 685, 72), (-1, 1378, 685, 61), (-1, 863, 686, 75), (-1, 1377, 686, 62), (-1, 861, 687, 77), (-1, 1376, 687, 63), (-1, 859, 688, 79), (-1, 1376, 688, 63), (-1, 856, 689, 82), (-1, 1375, 689, 64), (-1, 854, 690, 86), (-1, 1374, 690, 65), (-1, 852, 691, 89), (-1, 1373, 691, 66), (-1, 849, 692, 94), (-1, 1372, 692, 67), (-1, 847, 693, 97), (-1, 1371, 693, 68), (-1, 845, 694, 101), (-1, 1371, 694, 68), (-1, 841, 695, 106), (-1, 1370, 695, 69), (-1, 837, 696, 111), (-1, 1369, 696, 70), (-1, 833, 697, 117), (-1, 1368, 697, 71), (-1, 829, 698, 122), (-1, 1367, 698, 72), (-1, 825, 699, 128), (-1, 1367, 699, 72), (-1, 821, 700, 133), (-1, 1366, 700, 73), (-1, 818, 701, 138), (-1, 1365, 701, 74), (-1, 816, 702, 141), (-1, 1364, 702, 75), (-1, 814, 703, 145), (-1, 1363, 703, 76), (-1, 812, 704, 148), (-1, 1362, 704, 77), (-1, 810, 705, 152), (-1, 1362, 705, 77), (-1, 808, 706, 155), (-1, 1361, 706, 78), (-1, 806, 707, 159), (-1, 1360, 707, 79), (-1, 804, 708, 162), (-1, 1359, 708, 80), (-1, 802, 709, 165), (-1, 1358, 709, 81), (-1, 800, 710, 169), (-1, 1357, 710, 82), (-1, 798, 711, 172), (-1, 1357, 711, 82), (-1, 796, 712, 176), (-1, 1356, 712, 83), (-1, 794, 713, 179), (-1, 1355, 713, 84), (-1, 792, 714, 183), (-1, 1354, 714, 58), (-1, 1414, 714, 25), (-1, 790, 715, 186), (-1, 1353, 715, 53), (-1, 1414, 715, 25), (-1, 788, 716, 190), (-1, 1352, 716, 48), (-1, 1414, 716, 25), (-1, 786, 717, 193), (-1, 1352, 717, 42), (-1, 1414, 717, 25), (-1, 784, 718, 197), (-1, 1351, 718, 38), (-1, 1414, 718, 25), (-1, 782, 719, 200), (-1, 1350, 719, 33), (-1, 1414, 719, 25), (-1, 780, 720, 204), (-1, 1349, 720, 28), (-1, 1414, 720, 25), (-1, 778, 721, 207), (-1, 1348, 721, 23), (-1, 1414, 721, 25), (-1, 777, 722, 210), (-1, 1347, 722, 19), (-1, 1414, 722, 25), (-1, 776, 723, 212), (-1, 1347, 723, 13), (-1, 1414, 723, 25), (-1, 776, 724, 213), (-1, 1346, 724, 8), (-1, 1414, 724, 25), (-1, 775, 725, 216), (-1, 1345, 725, 3), (-1, 1414, 725, 25), (-1, 774, 726, 218), (-1, 1414, 726, 25), (-1, 773, 727, 221), (-1, 1414, 727, 25), (-1, 773, 728, 222), (-1, 1414, 728, 25), (-1, 772, 729, 225), (-1, 1414, 729, 25), (-1, 771, 730, 227), (-1, 1414, 730, 25), (-1, 770, 731, 230), (-1, 1415, 731, 24), (-1, 770, 732, 231), (-1, 1415, 732, 24), (-1, 769, 733, 234), (-1, 1415, 733, 24), (-1, 769, 734, 235), (-1, 1415, 734, 24), (-1, 768, 735, 238), (-1, 1415, 735, 24), (-1, 768, 736, 239), (-1, 1415, 736, 24), (-1, 767, 737, 241), (-1, 1415, 737, 24), (-1, 767, 738, 243), (-1, 1415, 738, 24), (-1, 766, 739, 245), (-1, 1415, 739, 24), (-1, 766, 740, 247), (-1, 1415, 740, 24), (-1, 765, 741, 249), (-1, 1415, 741, 24), (-1, 765, 742, 251), (-1, 1415, 742, 24), (-1, 763, 743, 254), (-1, 1415, 743, 24), (-1, 761, 744, 258), (-1, 1415, 744, 24), (-1, 760, 745, 260), (-1, 1415, 745, 24), (-1, 758, 746, 264), (-1, 1415, 746, 24), (-1, 756, 747, 267), (-1, 1415, 747, 24), (-1, 754, 748, 271), (-1, 1415, 748, 24), (-1, 753, 749, 273), (-1, 1415, 749, 24), (-1, 751, 750, 276), (-1, 1415, 750, 24), (-1, 749, 751, 280), (-1, 1415, 751, 24), (-1, 748, 752, 282), (-1, 1415, 752, 24), (-1, 746, 753, 286), (-1, 1415, 753, 24), (-1, 744, 754, 289), (-1, 1415, 754, 24), (-1, 742, 755, 293), (-1, 1415, 755, 24), (-1, 741, 756, 295), (-1, 1415, 756, 24), (-1, 739, 757, 299), (-1, 1415, 757, 24), (-1, 737, 758, 302), (-1, 1415, 758, 24), (-1, 736, 759, 305), (-1, 1415, 759, 24), (-1, 734, 760, 308), (-1, 1415, 760, 24), (-1, 732, 761, 312), (-1, 1415, 761, 24), (-1, 730, 762, 315), (-1, 1415, 762, 24), (-1, 729, 763, 317), (-1, 1415, 763, 24), (-1, 727, 764, 321), (-1, 1415, 764, 24), (-1, 725, 765, 324), (-1, 1415, 765, 24), (-1, 724, 766, 327), (-1, 1415, 766, 24), (-1, 722, 767, 330), (-1, 1416, 767, 23), (-1, 720, 768, 334), (-1, 1416, 768, 23), (-1, 718, 769, 337), (-1, 1416, 769, 23), (-1, 717, 770, 340), (-1, 1416, 770, 23), (-1, 715, 771, 343), (-1, 1416, 771, 23), (-1, 713, 772, 347), (-1, 1416, 772, 23), (-1, 712, 773, 349), (-1, 1416, 773, 23), (-1, 712, 774, 351), (-1, 1416, 774, 23), (-1, 712, 775, 352), (-1, 1416, 775, 23), (-1, 711, 776, 354), (-1, 1416, 776, 23), (-1, 711, 777, 356), (-1, 1416, 777, 23), (-1, 711, 778, 357), (-1, 1416, 778, 23), (-1, 711, 779, 359), (-1, 1416, 779, 23), (-1, 710, 780, 361), (-1, 1416, 780, 23), (-1, 710, 781, 363), (-1, 1416, 781, 23), (-1, 710, 782, 364), (-1, 1416, 782, 23), (-1, 710, 783, 366), (-1, 1416, 783, 23), (-1, 709, 784, 368), (-1, 1416, 784, 23), (-1, 709, 785, 370), (-1, 1416, 785, 23), (-1, 709, 786, 371), (-1, 1416, 786, 23), (-1, 709, 787, 373), (-1, 1416, 787, 23), (-1, 708, 788, 375), (-1, 1416, 788, 23), (-1, 708, 789, 377), (-1, 1416, 789, 23), (-1, 708, 790, 378), (-1, 1416, 790, 23), (-1, 708, 791, 379), (-1, 1416, 791, 23), (-1, 707, 792, 382), (-1, 1416, 792, 23), (-1, 707, 793, 383), (-1, 1416, 793, 23), (-1, 707, 794, 385), (-1, 1416, 794, 23), (-1, 707, 795, 386), (-1, 1416, 795, 23), (-1, 706, 796, 389), (-1, 1416, 796, 23), (-1, 706, 797, 390), (-1, 1416, 797, 23), (-1, 706, 798, 392), (-1, 1416, 798, 23), (-1, 706, 799, 393), (-1, 1416, 799, 23), (-1, 705, 800, 396), (-1, 1416, 800, 23), (-1, 705, 801, 397), (-1, 1416, 801, 22), (-1, 705, 802, 399), (-1, 1416, 802, 22), (-1, 705, 803, 400), (-1, 1417, 803, 21), (-1, 704, 804, 402), (-1, 1417, 804, 21), (-1, 704, 805, 404), (-1, 1417, 805, 21), (-1, 704, 806, 405), (-1, 1417, 806, 21), (-1, 704, 807, 407), (-1, 1417, 807, 21), (-1, 703, 808, 409), (-1, 1417, 808, 21), (-1, 703, 809, 411), (-1, 1417, 809, 21), (-1, 703, 810, 412), (-1, 1417, 810, 21), (-1, 703, 811, 414), (-1, 1417, 811, 21), (-1, 703, 812, 415), (-1, 1417, 812, 21), (-1, 702, 813, 418), (-1, 1417, 813, 21), (-1, 702, 814, 419), (-1, 1417, 814, 21), (-1, 702, 815, 421), (-1, 1417, 815, 21), (-1, 702, 816, 422), (-1, 1417, 816, 21), (-1, 701, 817, 424), (-1, 1417, 817, 21), (-1, 701, 818, 426), (-1, 1417, 818, 21), (-1, 701, 819, 427), (-1, 1417, 819, 21), (-1, 701, 820, 429), (-1, 1417, 820, 21), (-1, 700, 821, 431), (-1, 1417, 821, 21), (-1, 700, 822, 433), (-1, 1417, 822, 21), (-1, 700, 823, 434), (-1, 1417, 823, 21), (-1, 700, 824, 436), (-1, 1417, 824, 21), (-1, 699, 825, 438), (-1, 1417, 825, 21), (-1, 699, 826, 440), (-1, 1417, 826, 21), (-1, 699, 827, 441), (-1, 1417, 827, 21), (-1, 699, 828, 443), (-1, 1417, 828, 21), (-1, 698, 829, 445), (-1, 1417, 829, 21), (-1, 698, 830, 446), (-1, 1417, 830, 21), (-1, 698, 831, 448), (-1, 1417, 831, 21), (-1, 698, 832, 449), (-1, 1417, 832, 21), (-1, 697, 833, 452), (-1, 1417, 833, 21), (-1, 697, 834, 453), (-1, 1417, 834, 21), (-1, 697, 835, 455), (-1, 1417, 835, 21), (-1, 697, 836, 456), (-1, 1417, 836, 21), (-1, 696, 837, 459), (-1, 1417, 837, 21), (-1, 696, 838, 460), (-1, 1417, 838, 21), (-1, 696, 839, 462), (-1, 1418, 839, 20), (-1, 696, 840, 463), (-1, 1418, 840, 20), (-1, 695, 841, 466), (-1, 1418, 841, 20), (-1, 695, 842, 467), (-1, 1418, 842, 20), (-1, 695, 843, 468), (-1, 1418, 843, 20), (-1, 695, 844, 470), (-1, 1418, 844, 20), (-1, 694, 845, 472), (-1, 1418, 845, 20), (-1, 694, 846, 474), (-1, 1418, 846, 20), (-1, 694, 847, 475), (-1, 1418, 847, 20), (-1, 695, 848, 476), (-1, 1418, 848, 20), (-1, 695, 849, 477), (-1, 1418, 849, 20), (-1, 696, 850, 478), (-1, 1418, 850, 20), (-1, 697, 851, 478), (-1, 1418, 851, 20), (-1, 697, 852, 480), (-1, 1418, 852, 20), (-1, 698, 853, 480), (-1, 1418, 853, 20), (-1, 698, 854, 482), (-1, 1418, 854, 20), (-1, 699, 855, 482), (-1, 1418, 855, 20), (-1, 700, 856, 483), (-1, 1418, 856, 20), (-1, 700, 857, 484), (-1, 1418, 857, 20), (-1, 701, 858, 484), (-1, 1418, 858, 20), (-1, 702, 859, 485), (-1, 1418, 859, 20), (-1, 702, 860, 486), (-1, 1418, 860, 20), (-1, 703, 861, 487), (-1, 1418, 861, 20), (-1, 704, 862, 487), (-1, 1418, 862, 20), (-1, 704, 863, 489), (-1, 1418, 863, 20), (-1, 705, 864, 489), (-1, 1418, 864, 20), (-1, 705, 865, 491), (-1, 1418, 865, 20), (-1, 706, 866, 491), (-1, 1418, 866, 20), (-1, 707, 867, 492), (-1, 1418, 867, 20), (-1, 707, 868, 493), (-1, 1418, 868, 20), (-1, 708, 869, 494), (-1, 1418, 869, 20), (-1, 708, 870, 495), (-1, 1418, 870, 20), (-1, 708, 871, 496), (-1, 1418, 871, 20), (-1, 709, 872, 497), (-1, 1418, 872, 20), (-1, 709, 873, 498), (-1, 1418, 873, 20), (-1, 709, 874, 500), (-1, 1418, 874, 20), (-1, 709, 875, 501), (-1, 1224, 875, 5), (-1, 1419, 875, 19), (-1, 709, 876, 503), (-1, 1216, 876, 14), (-1, 1419, 876, 19), (-1, 710, 877, 521), (-1, 1419, 877, 19), (-1, 710, 878, 522), (-1, 1419, 878, 19), (-1, 710, 879, 523), (-1, 1419, 879, 19), (-1, 710, 880, 524), (-1, 1419, 880, 19), (-1, 710, 881, 525), (-1, 1419, 881, 19), (-1, 710, 882, 526), (-1, 1419, 882, 19), (-1, 711, 883, 526), (-1, 1419, 883, 19), (-1, 711, 884, 527), (-1, 1419, 884, 19), (-1, 711, 885, 527), (-1, 1419, 885, 19), (-1, 711, 886, 528), (-1, 1419, 886, 19), (-1, 711, 887, 528), (-1, 1419, 887, 19), (-1, 712, 888, 528), (-1, 1419, 888, 19), (-1, 712, 889, 528), (-1, 1419, 889, 19), (-1, 712, 890, 529), (-1, 1419, 890, 19), (-1, 712, 891, 529), (-1, 1419, 891, 19), (-1, 713, 892, 529), (-1, 1419, 892, 19), (-1, 713, 893, 529), (-1, 1419, 893, 19), (-1, 714, 894, 529), (-1, 1419, 894, 19), (-1, 714, 895, 529), (-1, 1419, 895, 19), (-1, 714, 896, 529), (-1, 1419, 896, 19), (-1, 715, 897, 528), (-1, 1419, 897, 19), (-1, 715, 898, 528), (-1, 1419, 898, 19), (-1, 716, 899, 527), (-1, 1419, 899, 19), (-1, 716, 900, 527), (-1, 1419, 900, 19), (-1, 716, 901, 527), (-1, 1419, 901, 19), (-1, 717, 902, 526), (-1, 1419, 902, 19), (-1, 717, 903, 527), (-1, 1419, 903, 19), (-1, 718, 904, 526), (-1, 1419, 904, 19), (-1, 718, 905, 526), (-1, 1419, 905, 19), (-1, 718, 906, 526), (-1, 1419, 906, 19), (-1, 719, 907, 525), (-1, 1419, 907, 19), (-1, 719, 908, 525), (-1, 1419, 908, 19), (-1, 720, 909, 524), (-1, 1419, 909, 19), (-1, 720, 910, 524), (-1, 1419, 910, 19), (-1, 720, 911, 523), (-1, 1420, 911, 18), (-1, 721, 912, 522), (-1, 1420, 912, 18), (-1, 721, 913, 521), (-1, 1420, 913, 18), (-1, 722, 914, 520), (-1, 1420, 914, 18), (-1, 722, 915, 519), (-1, 1420, 915, 18), (-1, 722, 916, 519), (-1, 1420, 916, 18), (-1, 723, 917, 517), (-1, 1420, 917, 18), (-1, 723, 918, 516), (-1, 1420, 918, 18), (-1, 724, 919, 514), (-1, 1420, 919, 18), (-1, 724, 920, 513), (-1, 1420, 920, 18), (-1, 724, 921, 513), (-1, 1420, 921, 18), (-1, 725, 922, 511), (-1, 1420, 922, 18), (-1, 725, 923, 510), (-1, 1420, 923, 18), (-1, 726, 924, 508), (-1, 1420, 924, 18), (-1, 726, 925, 507), (-1, 1420, 925, 18), (-1, 727, 926, 505), (-1, 1420, 926, 18), (-1, 728, 927, 503), (-1, 1420, 927, 18), (-1, 729, 928, 502), (-1, 1418, 928, 20), (-1, 731, 929, 499), (-1, 1412, 929, 26), (-1, 732, 930, 497), (-1, 1406, 930, 32), (-1, 733, 931, 495), (-1, 1400, 931, 38), (-1, 733, 932, 495), (-1, 1394, 932, 44), (-1, 732, 933, 495), (-1, 1388, 933, 50), (-1, 732, 934, 495), (-1, 1383, 934, 55), (-1, 731, 935, 495), (-1, 1377, 935, 61), (-1, 731, 936, 495), (-1, 1371, 936, 67), (-1, 730, 937, 495), (-1, 1365, 937, 73), (-1, 730, 938, 495), (-1, 1359, 938, 79), (-1, 730, 939, 494), (-1, 1353, 939, 85), (-1, 729, 940, 495), (-1, 1350, 940, 88), (-1, 729, 941, 494), (-1, 1349, 941, 89), (-1, 728, 942, 495), (-1, 1348, 942, 90), (-1, 728, 943, 494), (-1, 1348, 943, 90), (-1, 727, 944, 496), (-1, 1347, 944, 91), (-1, 727, 945, 497), (-1, 1346, 945, 92), (-1, 726, 946, 499), (-1, 1345, 946, 93), (-1, 726, 947, 500), (-1, 1344, 947, 94), (-1, 724, 948, 502), (-1, 1343, 948, 95), (-1, 723, 949, 504), (-1, 1343, 949, 95), (-1, 721, 950, 507), (-1, 1342, 950, 96), (-1, 720, 951, 509), (-1, 1341, 951, 97), (-1, 718, 952, 512), (-1, 1340, 952, 98), (-1, 717, 953, 514), (-1, 1339, 953, 99), (-1, 717, 954, 514), (-1, 1339, 954, 99), (-1, 717, 955, 514), (-1, 1338, 955, 100), (-1, 718, 956, 514), (-1, 1337, 956, 101), (-1, 718, 957, 514), (-1, 1336, 957, 102), (-1, 718, 958, 514), (-1, 1335, 958, 103), (-1, 718, 959, 514), (-1, 1334, 959, 104), (-1, 718, 960, 514), (-1, 1334, 960, 104), (-1, 718, 961, 515), (-1, 1333, 961, 105), (-1, 719, 962, 514), (-1, 1332, 962, 106), (-1, 719, 963, 514), (-1, 1330, 963, 108), (-1, 719, 964, 514), (-1, 1328, 964, 110), (-1, 719, 965, 515), (-1, 1326, 965, 112), (-1, 719, 966, 515), (-1, 1325, 966, 113), (-1, 720, 967, 514), (-1, 1323, 967, 115), (-1, 720, 968, 515), (-1, 1321, 968, 117), (-1, 720, 969, 515), (-1, 1319, 969, 119), (-1, 720, 970, 516), (-1, 1296, 970, 142), (-1, 720, 971, 516), (-1, 1289, 971, 149), (-1, 721, 972, 516), (-1, 1282, 972, 156), (-1, 721, 973, 517), (-1, 1269, 973, 169), (-1, 721, 974, 517), (-1, 1257, 974, 181), (-1, 721, 975, 518), (-1, 1250, 975, 188), (-1, 721, 976, 518), (-1, 1243, 976, 195), (-1, 721, 977, 717), (-1, 722, 978, 716), (-1, 722, 979, 716), (-1, 722, 980, 716), (-1, 722, 981, 716), (-1, 722, 982, 716), (-1, 723, 983, 715), (-1, 723, 984, 715), (-1, 723, 985, 715), (-1, 723, 986, 715), (-1, 723, 987, 715), (-1, 724, 988, 714), (-1, 724, 989, 714), (-1, 724, 990, 714), (-1, 724, 991, 714), (-1, 724, 992, 714), (-1, 724, 993, 714), (-1, 725, 994, 713), (-1, 725, 995, 713), (-1, 725, 996, 713), (-1, 725, 997, 713), (-1, 725, 998, 713), (-1, 726, 999, 712), (-1, 726, 1000, 712), (-1, 726, 1001, 712), (-1, 726, 1002, 712), (-1, 726, 1003, 712), (-1, 727, 1004, 711), (-1, 727, 1005, 711), (-1, 727, 1006, 711), (-1, 727, 1007, 711), (-1, 727, 1008, 711), (-1, 727, 1009, 711), (-1, 728, 1010, 710), (-1, 728, 1011, 710), (-1, 728, 1012, 710), (-1, 728, 1013, 710), (-1, 728, 1014, 710), (-1, 729, 1015, 709), (-1, 729, 1016, 709), (-1, 729, 1017, 709), (-1, 729, 1018, 709), (-1, 729, 1019, 709), (-1, 730, 1020, 708), (-1, 730, 1021, 708), (-1, 730, 1022, 708), (-1, 730, 1023, 708), (-1, 730, 1024, 708), (-1, 730, 1025, 708), (-1, 731, 1026, 707), (-1, 731, 1027, 707), (-1, 731, 1028, 707), (-1, 731, 1029, 707), (-1, 731, 1030, 707), (-1, 732, 1031, 706), (-1, 732, 1032, 706), (-1, 732, 1033, 706), (-1, 732, 1034, 706), (-1, 732, 1035, 706), (-1, 732, 1036, 706), (-1, 732, 1037, 706), (-1, 732, 1038, 706), (-1, 733, 1039, 705), (-1, 733, 1040, 705), (-1, 733, 1041, 705), (-1, 733, 1042, 705), (-1, 733, 1043, 705), (-1, 733, 1044, 705), (-1, 733, 1045, 705), (-1, 733, 1046, 705), (-1, 733, 1047, 705), (-1, 733, 1048, 705), (-1, 734, 1049, 704), (-1, 734, 1050, 704), (-1, 734, 1051, 704), (-1, 734, 1052, 704), (-1, 734, 1053, 704), (-1, 734, 1054, 704), (-1, 734, 1055, 704), (-1, 734, 1056, 704), (-1, 734, 1057, 704), (-1, 734, 1058, 704), (-1, 735, 1059, 703), (-1, 735, 1060, 703), (-1, 735, 1061, 703), (-1, 735, 1062, 703), (-1, 735, 1063, 703), (-1, 735, 1064, 703), (-1, 735, 1065, 703), (-1, 735, 1066, 703), (-1, 735, 1067, 703), (-1, 735, 1068, 703), (-1, 736, 1069, 702), (-1, 736, 1070, 702), (-1, 736, 1071, 702), (-1, 736, 1072, 702), (-1, 736, 1073, 702), (-1, 736, 1074, 702), (-1, 736, 1075, 702), (-1, 736, 1076, 702), (-1, 736, 1077, 702), (-1, 736, 1078, 702), (-1, 736, 1079, 702), (-1, 737, 1080, 701), (-1, 737, 1081, 701), (-1, 737, 1082, 701), (-1, 737, 1083, 701), (-1, 737, 1084, 701), (-1, 737, 1085, 701), (-1, 737, 1086, 701), (-1, 737, 1087, 701), (-1, 737, 1088, 701), (-1, 737, 1089, 701), (-1, 738, 1090, 700), (-1, 738, 1091, 700), (-1, 738, 1092, 700), (-1, 738, 1093, 700), (-1, 738, 1094, 700), (-1, 738, 1095, 700), (-1, 738, 1096, 700), (-1, 738, 1097, 700), (-1, 738, 1098, 700), (-1, 738, 1099, 700), (-1, 739, 1100, 699), (-1, 739, 1101, 699), (-1, 739, 1102, 699), (-1, 739, 1103, 699), (-1, 739, 1104, 699), (-1, 739, 1105, 699), (-1, 739, 1106, 699), (-1, 739, 1107, 699), (-1, 739, 1108, 699), (-1, 739, 1109, 699), (-1, 740, 1110, 698), (-1, 740, 1111, 698), (-1, 740, 1112, 698), (-1, 740, 1113, 698), (-1, 740, 1114, 698), (-1, 740, 1115, 698), (-1, 740, 1116, 698), (-1, 740, 1117, 698), (-1, 740, 1118, 698), (-1, 740, 1119, 698), (-1, 740, 1120, 698), (-1, 741, 1121, 697), (-1, 741, 1122, 697), (-1, 741, 1123, 697), (-1, 741, 1124, 697), (-1, 741, 1125, 697), (-1, 741, 1126, 697), (-1, 741, 1127, 697), (-1, 741, 1128, 697), (-1, 741, 1129, 697), (-1, 741, 1130, 697), (-1, 742, 1131, 696), (-1, 742, 1132, 696), (-1, 742, 1133, 696), (-1, 742, 1134, 696), (-1, 742, 1135, 696), (-1, 742, 1136, 696), (-1, 742, 1137, 696), (-1, 742, 1138, 696), (-1, 742, 1139, 696), (-1, 742, 1140, 696), (-1, 743, 1141, 695), (-1, 743, 1142, 695), (-1, 743, 1143, 695), (-1, 743, 1144, 695), (-1, 743, 1145, 695), (-1, 743, 1146, 695), (-1, 743, 1147, 695), (-1, 743, 1148, 695), (-1, 743, 1149, 695), (-1, 743, 1150, 695), (-1, 743, 1151, 695), (-1, 744, 1152, 694), (-1, 744, 1153, 694), (-1, 744, 1154, 694), (-1, 744, 1155, 694), (-1, 744, 1156, 694), (-1, 744, 1157, 694), (-1, 744, 1158, 694), (-1, 744, 1159, 694), (-1, 744, 1160, 694), (-1, 744, 1161, 694), (-1, 745, 1162, 693), (-1, 745, 1163, 693), (-1, 745, 1164, 693), (-1, 745, 1165, 693), (-1, 745, 1166, 693), (-1, 745, 1167, 693), (-1, 745, 1168, 693), (-1, 745, 1169, 693), (-1, 745, 1170, 693), (-1, 745, 1171, 693), (-1, 746, 1172, 692), (-1, 746, 1173, 692), (-1, 746, 1174, 692), (-1, 746, 1175, 692), (-1, 746, 1176, 692), (-1, 746, 1177, 692), (-1, 746, 1178, 692), (-1, 746, 1179, 692), (-1, 746, 1180, 692), (-1, 746, 1181, 692), (-1, 747, 1182, 691), (-1, 747, 1183, 691), (-1, 747, 1184, 691), (-1, 747, 1185, 691), (-1, 747, 1186, 691), (-1, 747, 1187, 691), (-1, 747, 1188, 691), (-1, 747, 1189, 691), (-1, 747, 1190, 691), (-1, 747, 1191, 691), (-1, 747, 1192, 691), (-1, 748, 1193, 690), (-1, 748, 1194, 690), (-1, 748, 1195, 690), (-1, 748, 1196, 690), (-1, 748, 1197, 690), (-1, 748, 1198, 690), (-1, 748, 1199, 690), (-1, 748, 1200, 690), (-1, 748, 1201, 690), (-1, 748, 1202, 690), (-1, 749, 1203, 689), (-1, 749, 1204, 689), (-1, 749, 1205, 689), (-1, 749, 1206, 689), (-1, 749, 1207, 689), (-1, 749, 1208, 689), (-1, 749, 1209, 689), (-1, 749, 1210, 689), (-1, 749, 1211, 689), (-1, 749, 1212, 689), (-1, 750, 1213, 688), (-1, 750, 1214, 688), (-1, 750, 1215, 688), (-1, 750, 1216, 688), (-1, 750, 1217, 688), (-1, 750, 1218, 688), (-1, 750, 1219, 688), (-1, 750, 1220, 688), (-1, 750, 1221, 688), (-1, 750, 1222, 688), (-1, 751, 1223, 687), (-1, 751, 1224, 687), (-1, 751, 1225, 687), (-1, 751, 1226, 687), (-1, 751, 1227, 687), (-1, 751, 1228, 687), (-1, 752, 1229, 686), (-1, 752, 1230, 686), (-1, 753, 1231, 685), (-1, 753, 1232, 685), (-1, 754, 1233, 684), (-1, 754, 1234, 684), (-1, 755, 1235, 683), (-1, 756, 1236, 682), (-1, 756, 1237, 682), (-1, 757, 1238, 681), (-1, 757, 1239, 681), (-1, 758, 1240, 680), (-1, 759, 1241, 679), (-1, 759, 1242, 679), (-1, 760, 1243, 678), (-1, 760, 1244, 678), (-1, 761, 1245, 677), (-1, 761, 1246, 677), (-1, 762, 1247, 676), (-1, 762, 1248, 676), (-1, 761, 1249, 677), (-1, 761, 1250, 677), (-1, 760, 1251, 678), (-1, 760, 1252, 678), (-1, 759, 1253, 679), (-1, 759, 1254, 679), (-1, 758, 1255, 680), (-1, 758, 1256, 680), (-1, 757, 1257, 681), (-1, 757, 1258, 681), (-1, 756, 1259, 682), (-1, 756, 1260, 682), (-1, 755, 1261, 683), (-1, 755, 1262, 683), (-1, 755, 1263, 683), (-1, 754, 1264, 684), (-1, 754, 1265, 85), (-1, 845, 1265, 593), (-1, 753, 1266, 84), (-1, 850, 1266, 588), (-1, 753, 1267, 82), (-1, 850, 1267, 588), (-1, 752, 1268, 81), (-1, 851, 1268, 587), (-1, 752, 1269, 78), (-1, 852, 1269, 586), (-1, 751, 1270, 77), (-1, 852, 1270, 586), (-1, 751, 1271, 75), (-1, 853, 1271, 585), (-1, 750, 1272, 74), (-1, 854, 1272, 584), (-1, 750, 1273, 71), (-1, 855, 1273, 583), (-1, 749, 1274, 70), (-1, 855, 1274, 583), (-1, 749, 1275, 68), (-1, 856, 1275, 582), (-1, 748, 1276, 67), (-1, 857, 1276, 581), (-1, 748, 1277, 65), (-1, 857, 1277, 581), (-1, 748, 1278, 62), (-1, 858, 1278, 580), (-1, 747, 1279, 61), (-1, 859, 1279, 579), (-1, 747, 1280, 59), (-1, 859, 1280, 579), (-1, 746, 1281, 58), (-1, 860, 1281, 578), (-1, 746, 1282, 55), (-1, 861, 1282, 577), (-1, 745, 1283, 54), (-1, 861, 1283, 577), (-1, 745, 1284, 52), (-1, 862, 1284, 576), (-1, 744, 1285, 51), (-1, 863, 1285, 575), (-1, 744, 1286, 48), (-1, 863, 1286, 575), (-1, 743, 1287, 47), (-1, 864, 1287, 574), (-1, 743, 1288, 45), (-1, 865, 1288, 573), (-1, 742, 1289, 44), (-1, 866, 1289, 572), (-1, 742, 1290, 41), (-1, 866, 1290, 572), (-1, 741, 1291, 40), (-1, 867, 1291, 571), (-1, 741, 1292, 38), (-1, 868, 1292, 570), (-1, 740, 1293, 37), (-1, 868, 1293, 570), (-1, 739, 1294, 36), (-1, 869, 1294, 569), (-1, 738, 1295, 34), (-1, 870, 1295, 568), (-1, 737, 1296, 33), (-1, 870, 1296, 568), (-1, 736, 1297, 32), (-1, 871, 1297, 567), (-1, 736, 1298, 30), (-1, 872, 1298, 566), (-1, 735, 1299, 28), (-1, 872, 1299, 566), (-1, 734, 1300, 27), (-1, 873, 1300, 565), (-1, 733, 1301, 26), (-1, 874, 1301, 564), (-1, 732, 1302, 25), (-1, 874, 1302, 564), (-1, 731, 1303, 23), (-1, 875, 1303, 563), (-1, 730, 1304, 22), (-1, 876, 1304, 562), (-1, 730, 1305, 20), (-1, 877, 1305, 561), (-1, 729, 1306, 19), (-1, 877, 1306, 561), (-1, 729, 1307, 16), (-1, 878, 1307, 560), (-1, 729, 1308, 14), (-1, 879, 1308, 559), (-1, 728, 1309, 13), (-1, 879, 1309, 559), (-1, 728, 1310, 11), (-1, 880, 1310, 558), (-1, 727, 1311, 10), (-1, 881, 1311, 557), (-1, 727, 1312, 7), (-1, 881, 1312, 557), (-1, 727, 1313, 5), (-1, 882, 1313, 556), (-1, 726, 1314, 4), (-1, 883, 1314, 555), (-1, 726, 1315, 2), (-1, 883, 1315, 555), (-1, 884, 1316, 554), (-1, 885, 1317, 553), (-1, 885, 1318, 553), (-1, 886, 1319, 552), (-1, 887, 1320, 551), (-1, 888, 1321, 550), (-1, 888, 1322, 550), (-1, 889, 1323, 549), (-1, 890, 1324, 548), (-1, 890, 1325, 548), (-1, 891, 1326, 547), (-1, 892, 1327, 546), (-1, 892, 1328, 546), (-1, 893, 1329, 545), (-1, 894, 1330, 544), (-1, 894, 1331, 544), (-1, 895, 1332, 543), (-1, 896, 1333, 542), (-1, 896, 1334, 542), (-1, 897, 1335, 541), (-1, 898, 1336, 540), (-1, 899, 1337, 539), (-1, 899, 1338, 539), (-1, 900, 1339, 538), (-1, 901, 1340, 537), (-1, 901, 1341, 537), (-1, 902, 1342, 536), (-1, 903, 1343, 535), (-1, 903, 1344, 534), (-1, 904, 1345, 533), (-1, 905, 1346, 532), (-1, 905, 1347, 532), (-1, 906, 1348, 531), (-1, 907, 1349, 530), (-1, 907, 1350, 530), (-1, 908, 1351, 529), (-1, 909, 1352, 528), (-1, 910, 1353, 527), (-1, 910, 1354, 527), (-1, 911, 1355, 526), (-1, 912, 1356, 525), (-1, 912, 1357, 525), (-1, 913, 1358, 524), (-1, 913, 1359, 524), (-1, 913, 1360, 524), (-1, 913, 1361, 524), (-1, 913, 1362, 524), (-1, 912, 1363, 525), (-1, 912, 1364, 525), (-1, 912, 1365, 525), (-1, 912, 1366, 525), (-1, 911, 1367, 526), (-1, 909, 1368, 528), (-1, 908, 1369, 529), (-1, 907, 1370, 530), (-1, 906, 1371, 531), (-1, 905, 1372, 532), (-1, 903, 1373, 534), (-1, 902, 1374, 535), (-1, 901, 1375, 536), (-1, 901, 1376, 536), (-1, 901, 1377, 536), (-1, 902, 1378, 535), (-1, 902, 1379, 535), (-1, 902, 1380, 535), (-1, 902, 1381, 535), (-1, 903, 1382, 534), (-1, 903, 1383, 534), (-1, 903, 1384, 534), (-1, 903, 1385, 534), (-1, 904, 1386, 533), (-1, 904, 1387, 533), (-1, 669, 1388, 1), (-1, 904, 1388, 533), (-1, 669, 1389, 2), (-1, 904, 1389, 533), (-1, 668, 1390, 3), (-1, 904, 1390, 533), (-1, 668, 1391, 4), (-1, 905, 1391, 532), (-1, 667, 1392, 5), (-1, 905, 1392, 532), (-1, 667, 1393, 6), (-1, 905, 1393, 532), (-1, 666, 1394, 7), (-1, 905, 1394, 532), (-1, 666, 1395, 8), (-1, 906, 1395, 531), (-1, 665, 1396, 9), (-1, 906, 1396, 531), (-1, 665, 1397, 10), (-1, 906, 1397, 531), (-1, 665, 1398, 11), (-1, 906, 1398, 531), (-1, 664, 1399, 12), (-1, 907, 1399, 530), (-1, 664, 1400, 13), (-1, 907, 1400, 530), (-1, 663, 1401, 14), (-1, 907, 1401, 530), (-1, 663, 1402, 15), (-1, 907, 1402, 530), (-1, 662, 1403, 16), (-1, 907, 1403, 530), (-1, 662, 1404, 17), (-1, 908, 1404, 529), (-1, 661, 1405, 19), (-1, 908, 1405, 529), (-1, 661, 1406, 19), (-1, 908, 1406, 529), (-1, 661, 1407, 20), (-1, 908, 1407, 529), (-1, 660, 1408, 21), (-1, 909, 1408, 528), (-1, 660, 1409, 22), (-1, 909, 1409, 528), (-1, 659, 1410, 23), (-1, 909, 1410, 528), (-1, 659, 1411, 24), (-1, 909, 1411, 528), (-1, 658, 1412, 25), (-1, 910, 1412, 527), (-1, 658, 1413, 26), (-1, 910, 1413, 527), (-1, 657, 1414, 28), (-1, 910, 1414, 527), (-1, 657, 1415, 28), (-1, 910, 1415, 527), (-1, 657, 1416, 29), (-1, 910, 1416, 527), (-1, 656, 1417, 30), (-1, 910, 1417, 527), (-1, 656, 1418, 31), (-1, 910, 1418, 527), (-1, 655, 1419, 32), (-1, 910, 1419, 527), (-1, 655, 1420, 33), (-1, 910, 1420, 527), (-1, 654, 1421, 34), (-1, 910, 1421, 527), (-1, 654, 1422, 35), (-1, 909, 1422, 528), (-1, 653, 1423, 37), (-1, 909, 1423, 528), (-1, 653, 1424, 37), (-1, 909, 1424, 528), (-1, 653, 1425, 38), (-1, 909, 1425, 528), (-1, 652, 1426, 39), (-1, 909, 1426, 528), (-1, 652, 1427, 40), (-1, 909, 1427, 528), (-1, 651, 1428, 41), (-1, 909, 1428, 528), (-1, 651, 1429, 42), (-1, 908, 1429, 529), (-1, 650, 1430, 43), (-1, 906, 1430, 531), (-1, 650, 1431, 44), (-1, 904, 1431, 533), (-1, 649, 1432, 46), (-1, 902, 1432, 535), (-1, 649, 1433, 46), (-1, 900, 1433, 537), (-1, 648, 1434, 48), (-1, 898, 1434, 539), (-1, 648, 1435, 48), (-1, 896, 1435, 541), (-1, 648, 1436, 49), (-1, 893, 1436, 544), (-1, 647, 1437, 50), (-1, 889, 1437, 548), (-1, 647, 1438, 51), (-1, 885, 1438, 552), (-1, 646, 1439, 53), (-1, 881, 1439, 556), (-1, 646, 1440, 53), (-1, 877, 1440, 560), (-1, 645, 1441, 55), (-1, 873, 1441, 564), (-1, 645, 1442, 55), (-1, 869, 1442, 568), (-1, 644, 1443, 57), (-1, 866, 1443, 571), (-1, 644, 1444, 57), (-1, 862, 1444, 575), (-1, 644, 1445, 58), (-1, 859, 1445, 578), (-1, 643, 1446, 59), (-1, 856, 1446, 581), (-1, 643, 1447, 60), (-1, 852, 1447, 585), (-1, 642, 1448, 62), (-1, 849, 1448, 588), (-1, 642, 1449, 62), (-1, 845, 1449, 592), (-1, 641, 1450, 64), (-1, 828, 1450, 609), (-1, 641, 1451, 65), (-1, 824, 1451, 613), (-1, 640, 1452, 67), (-1, 821, 1452, 616), (-1, 640, 1453, 67), (-1, 817, 1453, 620), (-1, 640, 1454, 68), (-1, 814, 1454, 623), (-1, 639, 1455, 70), (-1, 811, 1455, 626), (-1, 639, 1456, 71), (-1, 807, 1456, 630), (-1, 638, 1457, 72), (-1, 804, 1457, 633), (-1, 638, 1458, 73), (-1, 800, 1458, 637), (-1, 637, 1459, 76), (-1, 797, 1459, 640), (-1, 637, 1460, 78), (-1, 793, 1460, 644), (-1, 636, 1461, 81), (-1, 789, 1461, 648), (-1, 636, 1462, 83), (-1, 786, 1462, 651), (-1, 637, 1463, 84), (-1, 782, 1463, 655), (-1, 638, 1464, 85), (-1, 778, 1464, 659), (-1, 638, 1465, 103), (-1, 775, 1465, 662), (-1, 639, 1466, 104), (-1, 771, 1466, 666), (-1, 640, 1467, 106), (-1, 767, 1467, 670), (-1, 641, 1468, 107), (-1, 764, 1468, 673), (-1, 641, 1469, 110), (-1, 760, 1469, 677), (-1, 642, 1470, 111), (-1, 756, 1470, 681), (-1, 643, 1471, 794), (-1, 644, 1472, 793), (-1, 644, 1473, 793), (-1, 645, 1474, 792), (-1, 646, 1475, 791), (-1, 647, 1476, 790), (-1, 647, 1477, 790), (-1, 648, 1478, 789), (-1, 649, 1479, 788), (-1, 650, 1480, 787), (-1, 650, 1481, 787), (-1, 651, 1482, 786), (-1, 652, 1483, 785), (-1, 653, 1484, 784), (-1, 653, 1485, 784), (-1, 654, 1486, 783), (-1, 654, 1487, 783), (-1, 655, 1488, 782), (-1, 656, 1489, 781), (-1, 656, 1490, 781), (-1, 657, 1491, 780), (-1, 658, 1492, 779), (-1, 658, 1493, 779), (-1, 659, 1494, 778), (-1, 659, 1495, 778), (-1, 660, 1496, 777), (-1, 661, 1497, 776), (-1, 662, 1498, 775), (-1, 662, 1499, 775), (-1, 663, 1500, 774), (-1, 664, 1501, 773), (-1, 665, 1502, 772), (-1, 666, 1503, 771), (-1, 667, 1504, 770), (-1, 667, 1505, 770), (-1, 668, 1506, 769), (-1, 669, 1507, 768), (-1, 670, 1508, 767), (-1, 671, 1509, 766), (-1, 672, 1510, 765), (-1, 672, 1511, 765), (-1, 673, 1512, 764), (-1, 674, 1513, 763), (-1, 675, 1514, 762), (-1, 676, 1515, 761), (-1, 676, 1516, 761), (-1, 677, 1517, 760), (-1, 677, 1518, 760), (-1, 678, 1519, 759), (-1, 678, 1520, 759), (-1, 679, 1521, 758), (-1, 679, 1522, 758), (-1, 680, 1523, 757), (-1, 680, 1524, 757), (-1, 681, 1525, 756), (-1, 681, 1526, 756), (-1, 682, 1527, 755), (-1, 682, 1528, 755), (-1, 683, 1529, 754), (-1, 683, 1530, 754), (-1, 684, 1531, 753), (-1, 684, 1532, 753), (-1, 685, 1533, 752), (-1, 685, 1534, 752), (-1, 686, 1535, 751), (-1, 686, 1536, 751), (-1, 687, 1537, 750), (-1, 687, 1538, 750), (-1, 688, 1539, 749), (-1, 688, 1540, 749), (-1, 689, 1541, 748), (-1, 690, 1542, 747), (-1, 690, 1543, 747), (-1, 691, 1544, 746), (-1, 691, 1545, 746), (-1, 692, 1546, 745), (-1, 692, 1547, 745), (-1, 693, 1548, 744), (-1, 693, 1549, 744), (-1, 694, 1550, 743), (-1, 694, 1551, 743), (-1, 695, 1552, 742), (-1, 695, 1553, 742), (-1, 696, 1554, 741), (-1, 696, 1555, 741), (-1, 697, 1556, 740), (-1, 697, 1557, 740), (-1, 698, 1558, 739), (-1, 698, 1559, 739), (-1, 699, 1560, 738), (-1, 699, 1561, 738), (-1, 700, 1562, 737), (-1, 700, 1563, 737), (-1, 701, 1564, 736), (-1, 701, 1565, 736), (-1, 702, 1566, 735), (-1, 702, 1567, 735), (-1, 703, 1568, 734), (-1, 703, 1569, 734), (-1, 704, 1570, 733), (-1, 704, 1571, 733), (-1, 705, 1572, 732), (-1, 705, 1573, 732), (-1, 705, 1574, 732), (-1, 706, 1575, 731), (-1, 706, 1576, 731), (-1, 707, 1577, 730), (-1, 707, 1578, 730), (-1, 708, 1579, 729), (-1, 708, 1580, 729), (-1, 708, 1581, 729), (-1, 709, 1582, 728), (-1, 709, 1583, 728), (-1, 710, 1584, 727), (-1, 710, 1585, 727), (-1, 710, 1586, 727), (-1, 711, 1587, 726), (-1, 711, 1588, 726), (-1, 712, 1589, 725), (-1, 712, 1590, 725), (-1, 713, 1591, 724), (-1, 713, 1592, 724), (-1, 713, 1593, 724), (-1, 714, 1594, 723), (-1, 714, 1595, 723), (-1, 715, 1596, 722), (-1, 715, 1597, 722), (-1, 715, 1598, 722), (-1, 716, 1599, 721), (-1, 716, 1600, 721), (-1, 717, 1601, 720), (-1, 717, 1602, 720), (-1, 718, 1603, 719), (-1, 718, 1604, 719), (-1, 718, 1605, 719), (-1, 719, 1606, 718), (-1, 719, 1607, 718), (-1, 719, 1608, 718), (-1, 720, 1609, 717), (-1, 720, 1610, 717), (-1, 721, 1611, 716), (-1, 721, 1612, 716), (-1, 721, 1613, 716), (-1, 722, 1614, 715), (-1, 722, 1615, 715), (-1, 722, 1616, 715), (-1, 723, 1617, 714), (-1, 723, 1618, 714), (-1, 724, 1619, 713), (-1, 724, 1620, 713), (-1, 724, 1621, 713), (-1, 725, 1622, 712), (-1, 725, 1623, 712), (-1, 725, 1624, 712), (-1, 726, 1625, 711), (-1, 726, 1626, 711), (-1, 727, 1627, 710), (-1, 727, 1628, 710), (-1, 726, 1629, 711), (-1, 726, 1630, 711), (-1, 725, 1631, 712), (-1, 724, 1632, 713), (-1, 724, 1633, 713), (-1, 723, 1634, 714), (-1, 722, 1635, 715), (-1, 722, 1636, 715), (-1, 720, 1637, 717), (-1, 717, 1638, 720), (-1, 714, 1639, 723), (-1, 712, 1640, 725), (-1, 709, 1641, 728), (-1, 706, 1642, 731), (-1, 703, 1643, 734), (-1, 700, 1644, 737), (-1, 697, 1645, 740), (-1, 695, 1646, 742), (-1, 692, 1647, 745), (-1, 689, 1648, 748), (-1, 686, 1649, 751), (-1, 683, 1650, 754), (-1, 680, 1651, 757), (-1, 678, 1652, 759), (-1, 675, 1653, 762), (-1, 672, 1654, 765), (-1, 669, 1655, 768), (-1, 666, 1656, 771), (-1, 663, 1657, 774), (-1, 661, 1658, 776), (-1, 658, 1659, 779), (-1, 655, 1660, 782), (-1, 652, 1661, 785), (-1, 649, 1662, 788), (-1, 646, 1663, 791), (-1, 644, 1664, 793), (-1, 641, 1665, 796), (-1, 638, 1666, 799), (-1, 636, 1667, 801), (-1, 634, 1668, 803), (-1, 632, 1669, 805), (-1, 630, 1670, 807), (-1, 628, 1671, 809), (-1, 626, 1672, 811), (-1, 624, 1673, 813), (-1, 622, 1674, 815), (-1, 620, 1675, 817), (-1, 618, 1676, 819), (-1, 616, 1677, 821), (-1, 614, 1678, 823), (-1, 613, 1679, 824), (-1, 611, 1680, 826), (-1, 609, 1681, 828), (-1, 607, 1682, 830), (-1, 605, 1683, 832), (-1, 603, 1684, 834), (-1, 601, 1685, 836), (-1, 599, 1686, 838), (-1, 597, 1687, 840), (-1, 595, 1688, 842), (-1, 593, 1689, 844), (-1, 591, 1690, 846), (-1, 590, 1691, 847), (-1, 588, 1692, 849), (-1, 586, 1693, 851), (-1, 584, 1694, 853), (-1, 582, 1695, 855), (-1, 580, 1696, 857), (-1, 552, 1697, 3), (-1, 578, 1697, 859), (-1, 550, 1698, 7), (-1, 576, 1698, 861), (-1, 548, 1699, 11), (-1, 574, 1699, 863), (-1, 545, 1700, 17), (-1, 572, 1700, 865), (-1, 543, 1701, 21), (-1, 570, 1701, 867), (-1, 540, 1702, 26), (-1, 568, 1702, 869), (-1, 538, 1703, 899), (-1, 536, 1704, 901), (-1, 534, 1705, 903), (-1, 533, 1706, 904), (-1, 533, 1707, 904), (-1, 532, 1708, 905), (-1, 531, 1709, 906), (-1, 531, 1710, 906), (-1, 530, 1711, 907), (-1, 529, 1712, 908), (-1, 529, 1713, 908), (-1, 528, 1714, 909), (-1, 527, 1715, 910), (-1, 526, 1716, 911), (-1, 526, 1717, 911), (-1, 525, 1718, 912), (-1, 524, 1719, 913), (-1, 524, 1720, 913), (-1, 523, 1721, 914), (-1, 524, 1722, 913), (-1, 525, 1723, 912), (-1, 526, 1724, 911), (-1, 527, 1725, 910), (-1, 528, 1726, 909), (-1, 529, 1727, 908), (-1, 530, 1728, 907), (-1, 530, 1729, 907), (-1, 531, 1730, 906), (-1, 532, 1731, 905), (-1, 533, 1732, 904), (-1, 533, 1733, 904), (-1, 534, 1734, 903), (-1, 535, 1735, 902), (-1, 536, 1736, 901), (-1, 537, 1737, 900), (-1, 538, 1738, 899), (-1, 539, 1739, 898), (-1, 541, 1740, 896), (-1, 542, 1741, 895), (-1, 543, 1742, 894), (-1, 544, 1743, 893), (-1, 545, 1744, 892), (-1, 546, 1745, 891), (-1, 547, 1746, 890), (-1, 548, 1747, 889), (-1, 550, 1748, 887), (-1, 551, 1749, 886), (-1, 552, 1750, 885), (-1, 553, 1751, 884), (-1, 554, 1752, 883), (-1, 555, 1753, 882), (-1, 557, 1754, 880), (-1, 558, 1755, 879), (-1, 559, 1756, 878), (-1, 559, 1757, 878), (-1, 559, 1758, 878), (-1, 560, 1759, 877), (-1, 560, 1760, 877), (-1, 560, 1761, 877), (-1, 560, 1762, 877), (-1, 561, 1763, 876), (-1, 561, 1764, 876), (-1, 561, 1765, 876), (-1, 105, 1766, 2), (-1, 560, 1766, 877), (-1, 104, 1767, 5), (-1, 559, 1767, 878), (-1, 103, 1768, 9), (-1, 558, 1768, 879), (-1, 101, 1769, 13), (-1, 557, 1769, 880), (-1, 100, 1770, 17), (-1, 556, 1770, 881), (-1, 99, 1771, 21), (-1, 555, 1771, 882), (-1, 98, 1772, 24), (-1, 554, 1772, 883), (-1, 97, 1773, 28), (-1, 553, 1773, 884), (-1, 95, 1774, 32), (-1, 552, 1774, 885), (-1, 94, 1775, 36), (-1, 551, 1775, 886), (-1, 93, 1776, 39), (-1, 550, 1776, 887), (-1, 92, 1777, 43), (-1, 549, 1777, 888), (-1, 91, 1778, 47), (-1, 547, 1778, 890), (-1, 90, 1779, 50), (-1, 546, 1779, 891), (-1, 88, 1780, 55), (-1, 545, 1780, 892), (-1, 87, 1781, 58), (-1, 544, 1781, 893), (-1, 86, 1782, 62), (-1, 543, 1782, 894), (-1, 85, 1783, 65), (-1, 542, 1783, 895), (-1, 84, 1784, 69), (-1, 541, 1784, 896), (-1, 82, 1785, 73), (-1, 540, 1785, 897), (-1, 81, 1786, 77), (-1, 539, 1786, 898), (-1, 80, 1787, 81), (-1, 538, 1787, 899), (-1, 79, 1788, 84), (-1, 537, 1788, 900), (-1, 78, 1789, 88), (-1, 536, 1789, 901), (-1, 77, 1790, 91), (-1, 535, 1790, 902), (-1, 75, 1791, 96), (-1, 534, 1791, 903), (-1, 74, 1792, 99), (-1, 533, 1792, 904), (-1, 73, 1793, 103), (-1, 532, 1793, 905), (-1, 72, 1794, 107), (-1, 531, 1794, 906), (-1, 71, 1795, 110), (-1, 530, 1795, 907), (-1, 69, 1796, 115), (-1, 529, 1796, 908), (-1, 68, 1797, 118), (-1, 528, 1797, 909), (-1, 67, 1798, 121), (-1, 527, 1798, 910), (-1, 66, 1799, 123), (-1, 526, 1799, 911), (-1, 67, 1800, 123), (-1, 525, 1800, 912), (-1, 68, 1801, 123), (-1, 524, 1801, 913), (-1, 69, 1802, 123), (-1, 523, 1802, 914), (-1, 70, 1803, 123), (-1, 521, 1803, 916), (-1, 71, 1804, 123), (-1, 520, 1804, 917), (-1, 72, 1805, 123), (-1, 519, 1805, 918), (-1, 73, 1806, 123), (-1, 518, 1806, 919), (-1, 74, 1807, 123), (-1, 517, 1807, 920), (-1, 75, 1808, 123), (-1, 516, 1808, 921), (-1, 76, 1809, 123), (-1, 515, 1809, 922), (-1, 77, 1810, 123), (-1, 514, 1810, 923), (-1, 78, 1811, 123), (-1, 513, 1811, 924), (-1, 79, 1812, 123), (-1, 512, 1812, 925), (-1, 80, 1813, 123), (-1, 511, 1813, 926), (-1, 81, 1814, 123), (-1, 510, 1814, 927), (-1, 82, 1815, 123), (-1, 509, 1815, 928), (-1, 83, 1816, 123), (-1, 508, 1816, 929), (-1, 84, 1817, 123), (-1, 507, 1817, 930), (-1, 85, 1818, 123), (-1, 506, 1818, 931), (-1, 86, 1819, 123), (-1, 505, 1819, 932), (-1, 87, 1820, 123), (-1, 504, 1820, 933), (-1, 88, 1821, 123), (-1, 503, 1821, 934), (-1, 89, 1822, 123), (-1, 502, 1822, 935), (-1, 90, 1823, 123), (-1, 501, 1823, 936), (-1, 91, 1824, 123), (-1, 500, 1824, 937), (-1, 92, 1825, 123), (-1, 499, 1825, 938), (-1, 93, 1826, 123), (-1, 498, 1826, 939), (-1, 94, 1827, 123), (-1, 497, 1827, 940), (-1, 95, 1828, 123), (-1, 496, 1828, 941), (-1, 96, 1829, 123), (-1, 494, 1829, 943), (-1, 97, 1830, 123), (-1, 493, 1830, 944), (-1, 98, 1831, 123), (-1, 492, 1831, 945), (-1, 99, 1832, 123), (-1, 491, 1832, 946), (-1, 101, 1833, 122), (-1, 490, 1833, 947), (-1, 102, 1834, 122), (-1, 325, 1834, 1), (-1, 489, 1834, 948), (-1, 103, 1835, 122), (-1, 324, 1835, 3), (-1, 488, 1835, 949), (-1, 104, 1836, 122), (-1, 324, 1836, 5), (-1, 487, 1836, 950), (-1, 105, 1837, 122), (-1, 323, 1837, 7), (-1, 486, 1837, 951), (-1, 106, 1838, 122), (-1, 273, 1838, 2), (-1, 322, 1838, 9), (-1, 485, 1838, 952), (-1, 107, 1839, 122), (-1, 272, 1839, 5), (-1, 322, 1839, 11), (-1, 484, 1839, 953), (-1, 108, 1840, 122), (-1, 270, 1840, 9), (-1, 321, 1840, 13), (-1, 483, 1840, 954), (-1, 109, 1841, 122), (-1, 269, 1841, 12), (-1, 320, 1841, 15), (-1, 482, 1841, 955), (-1, 110, 1842, 122), (-1, 268, 1842, 15), (-1, 320, 1842, 17), (-1, 481, 1842, 956), (-1, 111, 1843, 122), (-1, 266, 1843, 19), (-1, 319, 1843, 19), (-1, 480, 1843, 957), (-1, 112, 1844, 122), (-1, 265, 1844, 22), (-1, 318, 1844, 21), (-1, 479, 1844, 958), (-1, 113, 1845, 122), (-1, 264, 1845, 25), (-1, 318, 1845, 23), (-1, 478, 1845, 959), (-1, 114, 1846, 122), (-1, 262, 1846, 29), (-1, 317, 1846, 25), (-1, 477, 1846, 960), (-1, 115, 1847, 122), (-1, 261, 1847, 37), (-1, 316, 1847, 27), (-1, 476, 1847, 961), (-1, 116, 1848, 122), (-1, 260, 1848, 50), (-1, 316, 1848, 29), (-1, 475, 1848, 962), (-1, 117, 1849, 122), (-1, 259, 1849, 87), (-1, 474, 1849, 963), (-1, 118, 1850, 122), (-1, 257, 1850, 90), (-1, 473, 1850, 964), (-1, 119, 1851, 122), (-1, 256, 1851, 93), (-1, 472, 1851, 965), (-1, 120, 1852, 122), (-1, 255, 1852, 95), (-1, 471, 1852, 966), (-1, 121, 1853, 122), (-1, 253, 1853, 98), (-1, 470, 1853, 967), (-1, 122, 1854, 122), (-1, 252, 1854, 101), (-1, 468, 1854, 969), (-1, 123, 1855, 122), (-1, 251, 1855, 103), (-1, 467, 1855, 970), (-1, 124, 1856, 122), (-1, 249, 1856, 106), (-1, 466, 1856, 971), (-1, 125, 1857, 122), (-1, 248, 1857, 107), (-1, 465, 1857, 972), (-1, 126, 1858, 229), (-1, 464, 1858, 973), (-1, 127, 1859, 228), (-1, 463, 1859, 974), (-1, 128, 1860, 227), (-1, 462, 1860, 975), (-1, 129, 1861, 226), (-1, 461, 1861, 976), (-1, 130, 1862, 225), (-1, 460, 1862, 977), (-1, 131, 1863, 224), (-1, 459, 1863, 978), (-1, 132, 1864, 223), (-1, 458, 1864, 979), (-1, 133, 1865, 222), (-1, 457, 1865, 980), (-1, 134, 1866, 221), (-1, 456, 1866, 981), (-1, 135, 1867, 220), (-1, 455, 1867, 982), (-1, 136, 1868, 219), (-1, 454, 1868, 983), (-1, 137, 1869, 219), (-1, 453, 1869, 984), (-1, 138, 1870, 218), (-1, 452, 1870, 985), (-1, 139, 1871, 218), (-1, 451, 1871, 986), (-1, 140, 1872, 217), (-1, 450, 1872, 987), (-1, 141, 1873, 217), (-1, 449, 1873, 988), (-1, 142, 1874, 217), (-1, 448, 1874, 989), (-1, 143, 1875, 216), (-1, 447, 1875, 990), (-1, 144, 1876, 216), (-1, 446, 1876, 991), (-1, 145, 1877, 215), (-1, 445, 1877, 992), (-1, 146, 1878, 215), (-1, 444, 1878, 993), (-1, 147, 1879, 215), (-1, 443, 1879, 994), (-1, 148, 1880, 214), (-1, 441, 1880, 996), (-1, 149, 1881, 214), (-1, 440, 1881, 997), (-1, 150, 1882, 213), (-1, 439, 1882, 998), (-1, 151, 1883, 213), (-1, 438, 1883, 999), (-1, 152, 1884, 213), (-1, 437, 1884, 1000), (-1, 153, 1885, 212), (-1, 436, 1885, 1001), (-1, 154, 1886, 212), (-1, 435, 1886, 1001), (-1, 155, 1887, 212), (-1, 434, 1887, 1002), (-1, 156, 1888, 211), (-1, 433, 1888, 1003), (-1, 157, 1889, 211), (-1, 432, 1889, 1004), (-1, 158, 1890, 210), (-1, 431, 1890, 1005), (-1, 159, 1891, 210), (-1, 430, 1891, 1006), (-1, 160, 1892, 210), (-1, 429, 1892, 1007), (-1, 161, 1893, 209), (-1, 428, 1893, 1008), (-1, 162, 1894, 209), (-1, 427, 1894, 1009), (-1, 163, 1895, 209), (-1, 426, 1895, 1010), (-1, 164, 1896, 208), (-1, 425, 1896, 1011), (-1, 165, 1897, 208), (-1, 424, 1897, 1012), (-1, 167, 1898, 207), (-1, 423, 1898, 1013), (-1, 168, 1899, 208), (-1, 422, 1899, 1014), (-1, 169, 1900, 208), (-1, 421, 1900, 1015), (-1, 170, 1901, 208), (-1, 420, 1901, 1016), (-1, 171, 1902, 208), (-1, 419, 1902, 1017), (-1, 172, 1903, 209), (-1, 418, 1903, 1018), (-1, 173, 1904, 209), (-1, 417, 1904, 1019), (-1, 174, 1905, 209), (-1, 415, 1905, 1021), (-1, 175, 1906, 210), (-1, 414, 1906, 1022), (-1, 176, 1907, 210), (-1, 413, 1907, 1023), (-1, 177, 1908, 210), (-1, 412, 1908, 1024), (-1, 178, 1909, 210), (-1, 411, 1909, 1025), (-1, 179, 1910, 211), (-1, 410, 1910, 1026), (-1, 180, 1911, 211), (-1, 409, 1911, 1027), (-1, 181, 1912, 211), (-1, 408, 1912, 1028), (-1, 182, 1913, 212), (-1, 407, 1913, 1029), (-1, 183, 1914, 213), (-1, 406, 1914, 1030), (-1, 184, 1915, 214), (-1, 405, 1915, 1031), (-1, 185, 1916, 215), (-1, 404, 1916, 1032), (-1, 186, 1917, 216), (-1, 403, 1917, 1033), (-1, 187, 1918, 1249), (-1, 188, 1919, 1248), (-1, 189, 1920, 1247), (-1, 190, 1921, 1246), (-1, 191, 1922, 1245), (-1, 192, 1923, 1244), (-1, 193, 1924, 1243), (-1, 194, 1925, 1242), (-1, 195, 1926, 1241), (-1, 196, 1927, 1240), (-1, 197, 1928, 1239), (-1, 198, 1929, 1238), (-1, 199, 1930, 1237), (-1, 200, 1931, 1236), (-1, 201, 1932, 1235), (-1, 202, 1933, 1234), (-1, 203, 1934, 1233), (-1, 204, 1935, 1232), (-1, 205, 1936, 1231), (-1, 205, 1937, 1231), (-1, 206, 1938, 1230), (-1, 207, 1939, 1229), (-1, 208, 1940, 1228), (-1, 209, 1941, 1227), (-1, 210, 1942, 1226), (-1, 211, 1943, 1225), (-1, 212, 1944, 1224), (-1, 213, 1945, 1223), (-1, 214, 1946, 1222), (-1, 215, 1947, 1221), (-1, 216, 1948, 1220), (-1, 216, 1949, 1220), (-1, 217, 1950, 1219), (-1, 218, 1951, 1218), (-1, 219, 1952, 1217), (-1, 220, 1953, 1216), (-1, 221, 1954, 1215), (-1, 222, 1955, 1214), (-1, 221, 1956, 1215), (-1, 220, 1957, 1216), (-1, 220, 1958, 1216), (-1, 219, 1959, 1217), (-1, 218, 1960, 1218), (-1, 217, 1961, 1219), (-1, 216, 1962, 1220), (-1, 215, 1963, 1221), (-1, 215, 1964, 1221), (-1, 214, 1965, 1222), (-1, 213, 1966, 1223), (-1, 212, 1967, 1224), (-1, 211, 1968, 1225), (-1, 210, 1969, 1226), (-1, 210, 1970, 1226), (-1, 209, 1971, 1227), (-1, 208, 1972, 1228), (-1, 207, 1973, 1229), (-1, 205, 1974, 1231), (-1, 203, 1975, 1233), (-1, 201, 1976, 1235), (-1, 199, 1977, 1237), (-1, 197, 1978, 1239), (-1, 195, 1979, 1241), (-1, 192, 1980, 1244), (-1, 189, 1981, 1247), (-1, 186, 1982, 1250), (-1, 183, 1983, 1253), (-1, 181, 1984, 1255), (-1, 181, 1985, 1255), (-1, 181, 1986, 1255), (-1, 182, 1987, 1254), (-1, 182, 1988, 1254), (-1, 182, 1989, 1254), (-1, 182, 1990, 1254), (-1, 182, 1991, 1254), (-1, 182, 1992, 1254), (-1, 183, 1993, 1253), (-1, 183, 1994, 1253), (-1, 183, 1995, 1253), (-1, 183, 1996, 1253), (-1, 183, 1997, 1253), (-1, 184, 1998, 1252), (-1, 184, 1999, 1252), (-1, 184, 2000, 1252), (-1, 184, 2001, 1252), (-1, 184, 2002, 1252), (-1, 185, 2003, 1251), (-1, 185, 2004, 1251), (-1, 185, 2005, 1251), (-1, 185, 2006, 1251), (-1, 185, 2007, 1251), (-1, 185, 2008, 1251), (-1, 186, 2009, 1250), (-1, 186, 2010, 1250), (-1, 186, 2011, 1250), (-1, 186, 2012, 1250), (-1, 186, 2013, 1250), (-1, 187, 2014, 1249), (-1, 187, 2015, 1249), (-1, 187, 2016, 1249), (-1, 187, 2017, 1249), (-1, 187, 2018, 1249), (-1, 188, 2019, 1248), (-1, 188, 2020, 1248), (-1, 188, 2021, 1248), (-1, 188, 2022, 1248), (-1, 188, 2023, 1248), (-1, 0, 2024, 3), (-1, 188, 2024, 1248), (-1, 0, 2025, 8), (-1, 189, 2025, 1247), (-1, 0, 2026, 13), (-1, 189, 2026, 1247), (-1, 0, 2027, 18), (-1, 189, 2027, 1247), (-1, 0, 2028, 23), (-1, 189, 2028, 1247), (-1, 0, 2029, 36), (-1, 189, 2029, 1247), (-1, 0, 2030, 46), (-1, 190, 2030, 1246), (-1, 0, 2031, 46), (-1, 190, 2031, 1246), (-1, 0, 2032, 47), (-1, 190, 2032, 1246), (-1, 0, 2033, 47), (-1, 190, 2033, 1246), (-1, 0, 2034, 47), (-1, 190, 2034, 1246), (-1, 0, 2035, 48), (-1, 191, 2035, 1245), (-1, 0, 2036, 48), (-1, 191, 2036, 1245), (-1, 0, 2037, 49), (-1, 191, 2037, 1245), (-1, 0, 2038, 49), (-1, 191, 2038, 1245), (-1, 0, 2039, 49), (-1, 191, 2039, 1245), (-1, 0, 2040, 50), (-1, 191, 2040, 1245), (-1, 0, 2041, 50), (-1, 192, 2041, 1244), (-1, 0, 2042, 50), (-1, 192, 2042, 1244), (-1, 0, 2043, 51), (-1, 192, 2043, 1244), (-1, 0, 2044, 51), (-1, 192, 2044, 1244), (-1, 0, 2045, 52), (-1, 192, 2045, 1244), (-1, 0, 2046, 52), (-1, 193, 2046, 1243), (-1, 0, 2047, 52), (-1, 193, 2047, 1243), (-1, 0, 2048, 53), (-1, 193, 2048, 1243), (-1, 0, 2049, 53), (-1, 193, 2049, 1243), (-1, 0, 2050, 53), (-1, 193, 2050, 1243), (-1, 0, 2051, 54), (-1, 194, 2051, 1242), (-1, 0, 2052, 54), (-1, 194, 2052, 1242), (-1, 0, 2053, 55), (-1, 194, 2053, 1242), (-1, 0, 2054, 55), (-1, 194, 2054, 1242), (-1, 0, 2055, 55), (-1, 194, 2055, 1242), (-1, 0, 2056, 56), (-1, 194, 2056, 1242), (-1, 0, 2057, 56), (-1, 195, 2057, 1241), (-1, 0, 2058, 56), (-1, 195, 2058, 1241), (-1, 0, 2059, 57), (-1, 195, 2059, 1241), (-1, 0, 2060, 57), (-1, 195, 2060, 1241), (-1, 0, 2061, 58), (-1, 195, 2061, 1241), (-1, 0, 2062, 58), (-1, 196, 2062, 1240), (-1, 0, 2063, 58), (-1, 196, 2063, 1240), (-1, 0, 2064, 59), (-1, 196, 2064, 1240), (-1, 0, 2065, 59), (-1, 196, 2065, 1240), (-1, 0, 2066, 59), (-1, 196, 2066, 1240), (-1, 0, 2067, 60), (-1, 197, 2067, 1239), (-1, 0, 2068, 60), (-1, 197, 2068, 1239), (-1, 0, 2069, 61), (-1, 127, 2069, 4), (-1, 197, 2069, 1239), (-1, 0, 2070, 61), (-1, 125, 2070, 12), (-1, 197, 2070, 1239), (-1, 0, 2071, 61), (-1, 124, 2071, 20), (-1, 197, 2071, 1239), (-1, 0, 2072, 62), (-1, 122, 2072, 28), (-1, 197, 2072, 1239), (-1, 0, 2073, 62), (-1, 120, 2073, 37), (-1, 198, 2073, 1238), (-1, 0, 2074, 62), (-1, 119, 2074, 45), (-1, 198, 2074, 1238), (-1, 0, 2075, 63), (-1, 117, 2075, 53), (-1, 198, 2075, 1238), (-1, 0, 2076, 63), (-1, 116, 2076, 61), (-1, 198, 2076, 1238), (-1, 0, 2077, 64), (-1, 114, 2077, 69), (-1, 198, 2077, 1238), (-1, 0, 2078, 64), (-1, 112, 2078, 78), (-1, 199, 2078, 1237), (-1, 0, 2079, 64), (-1, 111, 2079, 85), (-1, 199, 2079, 1237), (-1, 0, 2080, 65), (-1, 109, 2080, 1327), (-1, 0, 2081, 65), (-1, 107, 2081, 1329), (-1, 0, 2082, 65), (-1, 103, 2082, 1333), (-1, 0, 2083, 66), (-1, 99, 2083, 1337), (-1, 0, 2084, 66), (-1, 96, 2084, 1340), (-1, 0, 2085, 67), (-1, 92, 2085, 1344), (-1, 0, 2086, 67), (-1, 89, 2086, 1347), (-1, 0, 2087, 67), (-1, 85, 2087, 1351), (-1, 0, 2088, 68), (-1, 81, 2088, 1355), (-1, 0, 2089, 1436), (-1, 0, 2090, 1436), (-1, 0, 2091, 1436), (-1, 0, 2092, 1436), (-1, 0, 2093, 1436), (-1, 0, 2094, 1436), (-1, 0, 2095, 1436), (-1, 0, 2096, 1436), (-1, 0, 2097, 1436), (-1, 0, 2098, 1436), (-1, 0, 2099, 1436), (-1, 0, 2100, 1436), (-1, 0, 2101, 1436), (-1, 0, 2102, 1436), (-1, 0, 2103, 1436), (-1, 0, 2104, 1436), (-1, 0, 2105, 1436), (-1, 0, 2106, 1436), (-1, 0, 2107, 1436), (-1, 0, 2108, 1436), (-1, 0, 2109, 1436), (-1, 0, 2110, 1436), (-1, 0, 2111, 1436), (-1, 0, 2112, 1436), (-1, 0, 2113, 1436), (-1, 0, 2114, 1436), (-1, 0, 2115, 1436), (-1, 0, 2116, 1436), (-1, 0, 2117, 1436), (-1, 0, 2118, 1436), (-1, 0, 2119, 1436), (-1, 0, 2120, 1436), (-1, 0, 2121, 1436), (-1, 0, 2122, 1436), (-1, 0, 2123, 1436), (-1, 0, 2124, 1436), (-1, 0, 2125, 1436), (-1, 0, 2126, 1436), (-1, 0, 2127, 1436), (-1, 0, 2128, 1436), (-1, 0, 2129, 1436), (-1, 0, 2130, 1436), (-1, 0, 2131, 1436), (-1, 0, 2132, 1436), (-1, 0, 2133, 1436), (-1, 0, 2134, 1436), (-1, 0, 2135, 1436), (-1, 0, 2136, 1436), (-1, 0, 2137, 1436), (-1, 0, 2138, 1436), (-1, 0, 2139, 1436), (-1, 0, 2140, 1436), (-1, 0, 2141, 1436), (-1, 0, 2142, 1436), (-1, 0, 2143, 1436), (-1, 0, 2144, 1436), (-1, 0, 2145, 1436), (-1, 0, 2146, 1436), (-1, 0, 2147, 1436), (-1, 0, 2148, 1436), (-1, 0, 2149, 1436), (-1, 0, 2150, 1436), (-1, 0, 2151, 1436), (-1, 0, 2152, 1436), (-1, 0, 2153, 1436), (-1, 0, 2154, 1436), (-1, 0, 2155, 1436), (-1, 0, 2156, 1436), (-1, 0, 2157, 1436), (-1, 0, 2158, 1196)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 192, 'x1': 298, 'y0': 1898, 'y1': 1940, 'score': 1.0, 'id': None, 'points': ['236,1897,227,1899,215,1903,203,1908,191,1920,198,1926,210,1933,222,1939,239,1936,245,1936,246,1932,260,1933,269,1938,275,1927,297,1900,275,1909,246,1924'], 'sub_photo_id': 0, 'rles': [(-1, 235, 1898, 3), (-1, 231, 1899, 7), (-1, 227, 1900, 12), (-1, 224, 1901, 15), (-1, 297, 1901, 2), (-1, 221, 1902, 18), (-1, 295, 1902, 3), (-1, 218, 1903, 22), (-1, 292, 1903, 5), (-1, 215, 1904, 25), (-1, 290, 1904, 7), (-1, 213, 1905, 28), (-1, 287, 1905, 9), (-1, 210, 1906, 31), (-1, 285, 1906, 10), (-1, 208, 1907, 33), (-1, 283, 1907, 11), (-1, 206, 1908, 36), (-1, 280, 1908, 13), (-1, 204, 1909, 38), (-1, 278, 1909, 14), (-1, 203, 1910, 39), (-1, 276, 1910, 16), (-1, 202, 1911, 41), (-1, 274, 1911, 17), (-1, 201, 1912, 42), (-1, 272, 1912, 18), (-1, 200, 1913, 44), (-1, 270, 1913, 19), (-1, 199, 1914, 45), (-1, 268, 1914, 20), (-1, 198, 1915, 46), (-1, 266, 1915, 22), (-1, 197, 1916, 48), (-1, 264, 1916, 23), (-1, 196, 1917, 49), (-1, 262, 1917, 24), (-1, 195, 1918, 50), (-1, 260, 1918, 25), (-1, 194, 1919, 52), (-1, 258, 1919, 26), (-1, 193, 1920, 53), (-1, 256, 1920, 28), (-1, 192, 1921, 55), (-1, 254, 1921, 29), (-1, 193, 1922, 54), (-1, 252, 1922, 30), (-1, 194, 1923, 53), (-1, 250, 1923, 31), (-1, 195, 1924, 85), (-1, 197, 1925, 82), (-1, 198, 1926, 81), (-1, 199, 1927, 79), (-1, 200, 1928, 77), (-1, 202, 1929, 74), (-1, 204, 1930, 72), (-1, 206, 1931, 69), (-1, 207, 1932, 68), (-1, 209, 1933, 65), (-1, 211, 1934, 37), (-1, 255, 1934, 19), (-1, 213, 1935, 35), (-1, 262, 1935, 11), (-1, 215, 1936, 32), (-1, 264, 1936, 9), (-1, 217, 1937, 30), (-1, 266, 1937, 6), (-1, 219, 1938, 19), (-1, 268, 1938, 4), (-1, 221, 1939, 11), (-1, 270, 1939, 1), (-1, 223, 1940, 3)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 1392, 'x1': 1425, 'y0': 538, 'y1': 671, 'score': 1.0, 'id': None, 'points': ['1425,538,1416,671,1391,661,1391,643,1396,625,1411,578'], 'sub_photo_id': 0, 'rles': [(-1, 1425, 538, 1), (-1, 1425, 539, 1), (-1, 1424, 540, 2), (-1, 1424, 541, 2), (-1, 1424, 542, 2), (-1, 1423, 543, 3), (-1, 1423, 544, 3), (-1, 1423, 545, 3), (-1, 1422, 546, 4), (-1, 1422, 547, 3), (-1, 1422, 548, 3), (-1, 1421, 549, 4), (-1, 1421, 550, 4), (-1, 1420, 551, 5), (-1, 1420, 552, 5), (-1, 1420, 553, 5), (-1, 1419, 554, 6), (-1, 1419, 555, 6), (-1, 1419, 556, 6), (-1, 1418, 557, 7), (-1, 1418, 558, 7), (-1, 1418, 559, 7), (-1, 1417, 560, 8), (-1, 1417, 561, 8), (-1, 1417, 562, 8), (-1, 1416, 563, 8), (-1, 1416, 564, 8), (-1, 1416, 565, 8), (-1, 1415, 566, 9), (-1, 1415, 567, 9), (-1, 1415, 568, 9), (-1, 1414, 569, 10), (-1, 1414, 570, 10), (-1, 1413, 571, 11), (-1, 1413, 572, 11), (-1, 1413, 573, 11), (-1, 1412, 574, 12), (-1, 1412, 575, 12), (-1, 1412, 576, 12), (-1, 1411, 577, 13), (-1, 1411, 578, 13), (-1, 1411, 579, 13), (-1, 1410, 580, 13), (-1, 1410, 581, 13), (-1, 1410, 582, 13), (-1, 1409, 583, 14), (-1, 1409, 584, 14), (-1, 1409, 585, 14), (-1, 1408, 586, 15), (-1, 1408, 587, 15), (-1, 1408, 588, 15), (-1, 1407, 589, 16), (-1, 1407, 590, 16), (-1, 1407, 591, 16), (-1, 1407, 592, 16), (-1, 1406, 593, 17), (-1, 1406, 594, 17), (-1, 1406, 595, 17), (-1, 1405, 596, 18), (-1, 1405, 597, 17), (-1, 1405, 598, 17), (-1, 1404, 599, 18), (-1, 1404, 600, 18), (-1, 1404, 601, 18), (-1, 1403, 602, 19), (-1, 1403, 603, 19), (-1, 1403, 604, 19), (-1, 1402, 605, 20), (-1, 1402, 606, 20), (-1, 1402, 607, 20), (-1, 1401, 608, 21), (-1, 1401, 609, 21), (-1, 1401, 610, 21), (-1, 1400, 611, 22), (-1, 1400, 612, 22), (-1, 1400, 613, 21), (-1, 1400, 614, 21), (-1, 1399, 615, 22), (-1, 1399, 616, 22), (-1, 1399, 617, 22), (-1, 1398, 618, 23), (-1, 1398, 619, 23), (-1, 1398, 620, 23), (-1, 1397, 621, 24), (-1, 1397, 622, 24), (-1, 1397, 623, 24), (-1, 1396, 624, 25), (-1, 1396, 625, 25), (-1, 1396, 626, 25), (-1, 1396, 627, 25), (-1, 1395, 628, 26), (-1, 1395, 629, 26), (-1, 1395, 630, 25), (-1, 1395, 631, 25), (-1, 1394, 632, 26), (-1, 1394, 633, 26), (-1, 1394, 634, 26), (-1, 1394, 635, 26), (-1, 1394, 636, 26), (-1, 1393, 637, 27), (-1, 1393, 638, 27), (-1, 1393, 639, 27), (-1, 1393, 640, 27), (-1, 1392, 641, 28), (-1, 1392, 642, 28), (-1, 1392, 643, 28), (-1, 1392, 644, 28), (-1, 1392, 645, 28), (-1, 1392, 646, 28), (-1, 1392, 647, 27), (-1, 1392, 648, 27), (-1, 1392, 649, 27), (-1, 1392, 650, 27), (-1, 1392, 651, 27), (-1, 1392, 652, 27), (-1, 1392, 653, 27), (-1, 1392, 654, 27), (-1, 1392, 655, 27), (-1, 1392, 656, 27), (-1, 1392, 657, 27), (-1, 1392, 658, 27), (-1, 1392, 659, 27), (-1, 1392, 660, 27), (-1, 1392, 661, 27), (-1, 1394, 662, 25), (-1, 1396, 663, 22), (-1, 1399, 664, 19), (-1, 1401, 665, 17), (-1, 1404, 666, 14), (-1, 1406, 667, 12), (-1, 1409, 668, 9), (-1, 1411, 669, 7), (-1, 1414, 670, 4), (-1, 1416, 671, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 139, 'x1': 204, 'y0': 1112, 'y1': 1199, 'score': 1.0, 'id': None, 'points': ['180,1111,176,1122,158,1126,158,1143,158,1152,147,1171,138,1183,141,1197,155,1198,164,1195,171,1191,182,1177,203,1150,203,1144,198,1134,195,1125,189,1117'], 'sub_photo_id': 0, 'rles': [(-1, 181, 1112, 1), (-1, 181, 1113, 3), (-1, 180, 1114, 5), (-1, 180, 1115, 7), (-1, 180, 1116, 8), (-1, 179, 1117, 11), (-1, 179, 1118, 12), (-1, 178, 1119, 14), (-1, 178, 1120, 14), (-1, 178, 1121, 15), (-1, 177, 1122, 17), (-1, 175, 1123, 20), (-1, 171, 1124, 24), (-1, 166, 1125, 30), (-1, 162, 1126, 35), (-1, 159, 1127, 38), (-1, 159, 1128, 39), (-1, 159, 1129, 39), (-1, 159, 1130, 39), (-1, 159, 1131, 40), (-1, 159, 1132, 40), (-1, 159, 1133, 40), (-1, 159, 1134, 41), (-1, 159, 1135, 41), (-1, 159, 1136, 41), (-1, 159, 1137, 42), (-1, 159, 1138, 42), (-1, 159, 1139, 43), (-1, 159, 1140, 43), (-1, 159, 1141, 44), (-1, 159, 1142, 44), (-1, 159, 1143, 45), (-1, 159, 1144, 45), (-1, 159, 1145, 46), (-1, 159, 1146, 46), (-1, 159, 1147, 46), (-1, 159, 1148, 46), (-1, 159, 1149, 46), (-1, 159, 1150, 46), (-1, 159, 1151, 46), (-1, 159, 1152, 45), (-1, 159, 1153, 44), (-1, 158, 1154, 45), (-1, 158, 1155, 44), (-1, 157, 1156, 44), (-1, 157, 1157, 43), (-1, 156, 1158, 44), (-1, 156, 1159, 43), (-1, 155, 1160, 43), (-1, 154, 1161, 43), (-1, 154, 1162, 42), (-1, 153, 1163, 43), (-1, 153, 1164, 42), (-1, 152, 1165, 42), (-1, 151, 1166, 42), (-1, 151, 1167, 42), (-1, 150, 1168, 42), (-1, 150, 1169, 41), (-1, 149, 1170, 41), (-1, 149, 1171, 40), (-1, 148, 1172, 41), (-1, 147, 1173, 41), (-1, 147, 1174, 40), (-1, 146, 1175, 40), (-1, 145, 1176, 41), (-1, 144, 1177, 41), (-1, 144, 1178, 40), (-1, 143, 1179, 40), (-1, 142, 1180, 40), (-1, 141, 1181, 41), (-1, 141, 1182, 40), (-1, 140, 1183, 40), (-1, 139, 1184, 40), (-1, 139, 1185, 40), (-1, 139, 1186, 39), (-1, 140, 1187, 37), (-1, 140, 1188, 36), (-1, 140, 1189, 35), (-1, 140, 1190, 35), (-1, 140, 1191, 34), (-1, 141, 1192, 32), (-1, 141, 1193, 31), (-1, 141, 1194, 29), (-1, 141, 1195, 27), (-1, 142, 1196, 24), (-1, 142, 1197, 22), (-1, 142, 1198, 19), (-1, 150, 1199, 8)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 531, 'x1': 606, 'y0': 311, 'y1': 371, 'score': 1.0, 'id': None, 'points': ['596,310,530,361,536,370,573,346,582,355,596,351,605,345,600,327'], 'sub_photo_id': 0, 'rles': [(-1, 597, 311, 1), (-1, 596, 312, 2), (-1, 594, 313, 4), (-1, 593, 314, 6), (-1, 592, 315, 7), (-1, 590, 316, 9), (-1, 589, 317, 10), (-1, 588, 318, 12), (-1, 586, 319, 14), (-1, 585, 320, 15), (-1, 584, 321, 16), (-1, 583, 322, 18), (-1, 581, 323, 20), (-1, 580, 324, 21), (-1, 579, 325, 22), (-1, 577, 326, 25), (-1, 576, 327, 26), (-1, 575, 328, 27), (-1, 574, 329, 28), (-1, 572, 330, 31), (-1, 571, 331, 32), (-1, 570, 332, 33), (-1, 568, 333, 35), (-1, 567, 334, 37), (-1, 566, 335, 38), (-1, 564, 336, 40), (-1, 563, 337, 41), (-1, 562, 338, 43), (-1, 561, 339, 44), (-1, 559, 340, 46), (-1, 558, 341, 48), (-1, 557, 342, 49), (-1, 555, 343, 51), (-1, 554, 344, 52), (-1, 553, 345, 54), (-1, 552, 346, 55), (-1, 550, 347, 56), (-1, 549, 348, 25), (-1, 575, 348, 29), (-1, 548, 349, 24), (-1, 576, 349, 27), (-1, 546, 350, 25), (-1, 577, 350, 24), (-1, 545, 351, 24), (-1, 578, 351, 22), (-1, 544, 352, 24), (-1, 579, 352, 19), (-1, 542, 353, 24), (-1, 580, 353, 16), (-1, 541, 354, 23), (-1, 581, 354, 11), (-1, 540, 355, 23), (-1, 582, 355, 7), (-1, 539, 356, 22), (-1, 583, 356, 2), (-1, 537, 357, 23), (-1, 536, 358, 22), (-1, 535, 359, 22), (-1, 533, 360, 22), (-1, 532, 361, 22), (-1, 531, 362, 21), (-1, 532, 363, 19), (-1, 532, 364, 17), (-1, 533, 365, 15), (-1, 534, 366, 12), (-1, 534, 367, 10), (-1, 535, 368, 8), (-1, 536, 369, 5), (-1, 536, 370, 4), (-1, 537, 371, 1)], 'hashtag': '', 'sum_segment': 0}

About to upload 4 photos
upload in portfolio : 20149275
init cache_photo without model_param  
we have 4 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1738464345_2241491
we have uploaded 4 photos in the portfolio 20149275

time of upload the photos Elapsed time : 1.298293113708496

 map_filename_photo_id : 4
 map_filename_photo_id : {'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_658263370.jpg': 1333831364, 'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_6582633790.jpg': 1333831365, 'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337180.jpg': 1333831366, 'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337270.jpg': 1333831367}
Len new_chis : 4
Len list_new_chi_with_photo_id : 64 of type : 3230
 list_new_chi_with_photo_id : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b43a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b46a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b49a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b40d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b48b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3064f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3062b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306a90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3062e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306d30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306af0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3068e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3060d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3061c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3060a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306c10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3061f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306d90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3063a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306b80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3067c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3069d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3064c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3068b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3065e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306d00>]
batch 1
Loaded 64 chid ids of type : 3230
Number RLEs to save : 24654
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 64 chid ids of type : 3230
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 64 chid ids of type : 3230
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 64 chid ids of type : 3230
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 23.092825174331665
time spend to save output : 0.00015020370483398438
total time spend for step 1 : 23.0929753780365

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1333831364: ['1003369118', 'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_658263370.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c765490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b43a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b46a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b49a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b40d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b48b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d5c3b4610>]], 1333831365: ['1003369118', 'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_6582633790.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3064f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3062b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306a90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3062e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306d30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306af0>]], 1333831366: ['1003369118', 'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337180.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3068e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3060d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3061c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3060a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306370>]], 1333831367: ['1003369118', 'temp/1738464327_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337270.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306c10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3061f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306d90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3063a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306b80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3067c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3069d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3064c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3068b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c3065e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3c306d00>]]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1333831364,1333831365,1333831366,1333831367) and `type` in (3230) 
Loaded 64 chid ids of type : 3230
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3649472847,3649472851,3649472848,3649472862,3649472849,3649472850,3649472858,3649472854,3649472852,3649472856,3649472853,3649472857,3649472855,3649472860,3649472861,3649472859,3649472867,3649472874,3649472864,3649472865,3649472873,3649472878,3649472870,3649472866,3649472863,3649472872,3649472869,3649472868,3649472871,3649472876,3649472875,3649472877,3649472890,3649472889,3649472888,3649472885,3649472886,3649472884,3649472883,3649472881,3649472879,3649472882,3649472894,3649472880,3649472887,3649472891,3649472893,3649472892,3649472895,3649472902,3649472906,3649472904,3649472900,3649472901,3649472905,3649472898,3649472910,3649472896,3649472897,3649472899,3649472903,3649472909,3649472907,3649472908)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649472847,3649472851,3649472848,3649472862,3649472849,3649472850,3649472858,3649472854,3649472852,3649472856,3649472853,3649472857,3649472855,3649472860,3649472861,3649472859,3649472867,3649472874,3649472864,3649472865,3649472873,3649472878,3649472870,3649472866,3649472863,3649472872,3649472869,3649472868,3649472871,3649472876,3649472875,3649472877,3649472890,3649472889,3649472888,3649472885,3649472886,3649472884,3649472883,3649472881,3649472879,3649472882,3649472894,3649472880,3649472887,3649472891,3649472893,3649472892,3649472895,3649472902,3649472906,3649472904,3649472900,3649472901,3649472905,3649472898,3649472910,3649472896,3649472897,3649472899,3649472903,3649472909,3649472907,3649472908)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649472847,3649472851,3649472848,3649472862,3649472849,3649472850,3649472858,3649472854,3649472852,3649472856,3649472853,3649472857,3649472855,3649472860,3649472861,3649472859,3649472867,3649472874,3649472864,3649472865,3649472873,3649472878,3649472870,3649472866,3649472863,3649472872,3649472869,3649472868,3649472871,3649472876,3649472875,3649472877,3649472890,3649472889,3649472888,3649472885,3649472886,3649472884,3649472883,3649472881,3649472879,3649472882,3649472894,3649472880,3649472887,3649472891,3649472893,3649472892,3649472895,3649472902,3649472906,3649472904,3649472900,3649472901,3649472905,3649472898,3649472910,3649472896,3649472897,3649472899,3649472903,3649472909,3649472907,3649472908)
fin du test de rotate_chi
Ayatollah of tests excluded it ! (Bon le prochain developpeur qui passe ici peut enlever ayatollah VR 11-2-21)
 name : rubbia_carac_pet_clair_0121 not run because too long 

############################### TEST rubbia_carac_pet_clair_0121_no_cnn  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2719

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2719
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2719
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2719
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 6479 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 6480 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7445 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 6509 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 6479 doesn't seem to be define in the database(
WARNING : type of input 1 of step 6480 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 6479 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7445 doesn't seem to be define in the database(
WARNING : type of output 1 of step 7445 doesn't seem to be define in the database(
WARNING : type of input 3 of step 6509 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : merge_mask_thcl_custom, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3373196) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3373196)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1009068724, 'portfolio_id': 3373196}, {'photo_id': 1009068683, 'portfolio_id': 3373196}]
 map_portfolio_id_photo_id: {3373196: [1009068724, 1009068683]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1009068724
begin to download photo : 1009068683
download finish for photo 1009068683
download finish for photo 1009068724
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 0.31939029693603516
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  4
step1:merge_mask_thcl_custom
Sun Feb  2 03:45:50 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step merge_mask_thcl_custom
args ['temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg']
processing picture : temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg
processing picture : temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg
map_subphoto_result {}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1009068683,1009068724) and `type` in (2800) 
Loaded 82 chid ids of type : 2800
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1941272807,1941272792,1941272797,1941272801,1941272788,1941272813,1941272802,1941272799,1941272815,1941272809,1941272786,1941272808,1941272791,1941272816,1941272796,1941272811,1941272817,1941272810,1941272814,1941272793,1941272803,1941272804,1941272805,1941272781,1941272789,1941272798,1941272812,1941272800,1941272784,1941272782,1941272794,1941272795,1941272806,1941272785,1941272790,1941272783,1941272787,1941270022,1941270015,1941270036,1941270021,1941270029,1941270018,1941270017,1941270025,1941607383,1941270019,1941270038,1941270040,1941270014,1941270039,1941270020,1941270030,1941270033,1941270028,1941270027,1941270026,1941270032,1941270031,1941270035,1941270037,1941270041,1941270012,1941270013,1941607380,1941607381,2202875936,1941270008,1941270016,1941607382,1941270034,2202875937,1941270010,1941270005,1941270007,1941270024,1941270011,2202875938,1941270023,1941607379,1941270006,1941270009)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1941272807,1941272792,1941272797,1941272801,1941272788,1941272813,1941272802,1941272799,1941272815,1941272809,1941272786,1941272808,1941272791,1941272816,1941272796,1941272811,1941272817,1941272810,1941272814,1941272793,1941272803,1941272804,1941272805,1941272781,1941272789,1941272798,1941272812,1941272800,1941272784,1941272782,1941272794,1941272795,1941272806,1941272785,1941272790,1941272783,1941272787,1941270022,1941270015,1941270036,1941270021,1941270029,1941270018,1941270017,1941270025,1941607383,1941270019,1941270038,1941270040,1941270014,1941270039,1941270020,1941270030,1941270033,1941270028,1941270027,1941270026,1941270032,1941270031,1941270035,1941270037,1941270041,1941270012,1941270013,1941607380,1941607381,2202875936,1941270008,1941270016,1941607382,1941270034,2202875937,1941270010,1941270005,1941270007,1941270024,1941270011,2202875938,1941270023,1941607379,1941270006,1941270009)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1941272807,1941272792,1941272797,1941272801,1941272788,1941272813,1941272802,1941272799,1941272815,1941272809,1941272786,1941272808,1941272791,1941272816,1941272796,1941272811,1941272817,1941272810,1941272814,1941272793,1941272803,1941272804,1941272805,1941272781,1941272789,1941272798,1941272812,1941272800,1941272784,1941272782,1941272794,1941272795,1941272806,1941272785,1941272790,1941272783,1941272787,1941270022,1941270015,1941270036,1941270021,1941270029,1941270018,1941270017,1941270025,1941607383,1941270019,1941270038,1941270040,1941270014,1941270039,1941270020,1941270030,1941270033,1941270028,1941270027,1941270026,1941270032,1941270031,1941270035,1941270037,1941270041,1941270012,1941270013,1941607380,1941607381,2202875936,1941270008,1941270016,1941607382,1941270034,2202875937,1941270010,1941270005,1941270007,1941270024,1941270011,2202875938,1941270023,1941607379,1941270006,1941270009)
As expected we have just one thcl present
processing picture : 1009068683


begin to find the sub_photo_id : 

        select crop_hashtag_id , sub_photo_id from MTRPhoto.crop_sub_photo_ids where crop_hashtag_id in (1941272807,1941272792,1941272797,1941272801,1941272788,1941272813,1941272802,1941272799,1941272815,1941272809,1941272786,1941272808,1941272791,1941272816,1941272796,1941272811,1941272817,1941272810,1941272814,1941272793,1941272803,1941272804,1941272805,1941272781,1941272789,1941272798,1941272812,1941272800,1941272784,1941272782,1941272794,1941272795,1941272806,1941272785,1941272790,1941272783,1941272787) ;
        
chi 1941272807 saved with no changes
chi 1941272792 saved with no changes
chi 1941272797 saved with no changes
chi 1941272801 saved with no changes
chi 1941272788 saved with no changes
chi 1941272813 saved with no changes
chi 1941272802 saved with no changes
chi 1941272799 saved with no changes
chi 1941272815 saved with no changes
chi 1941272809 saved with no changes
chi 1941272786 saved with no changes
chi 1941272808 saved with no changes
chi 1941272791 saved with no changes
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009071263,1009221813,1009235446,1009235446,1009279340,1009279356,1009280654,1009282603,1009285753,1009285765,1009287138,1009288503,1009288546,1009289519,1009290969,1009291015,1009292124,1009293463,1009293494,1009302642,1009302924,1009314298,1009325392,1009325685,1009331808,1009337442,1009343208,1009348717,1009360426,1009360710,1009366170,1009370139,1009378373,1009378413,1009382207,1009387316,1009387465,1009397637,1009397719,1009407253,1009418244,1009418926,1009427413,1009430107,1009431383,1009433078,1009433144,1009434053,1009434384,1009434694,1009435681,1009436481,1009436964,1009437043,1009437239,1009438334,1009438590,1009440272,1009440278,1009442464,1009442509,1009442528,1009444076,1009444130,1009445413,1009445538,1009446902,1009448266,1009448396,1009449789,1009451629,1009451631,1009451750,1009452461,1009452961,1009452979,1009454196,1009454247,1009454337,1009455534,1009457025,1009457032,1009457228,1009460750,1009460967,1009466377,1009466452,1009467101,1009471967,1009472268,1009477695,1009478118,1009481722,1009482987,1009487453,1009487657,1009487950,1009489088,1009489218,1009489308,1009490315,1009490479,1009495060,1009495488,1009498944,1009500499,1009500766,1009506264,1009506270,1009506275,1009506746,1009509720,1009510178,1009511663,1009517339,1009517535,1009517849,1009521436,1009521607,1009525340,1009525354,1009525617,1009528261,1009529525,1009533039,1009533043,1009533518,1009536205,1009540619,1009540774,1009541035,1009543634,1009544885,1009545316,1009549107,1009549847,1009551213,1009552745,1009553914,1009557764,1009558260,1009560600,1009562085,1009566563,1009567165,1009570167,1009571289,1009576217,1009576836,1009579452,1009580609,1009585073,1009585473,1009587840,1009589122,1009593908,1009596967,1009597989,1009602701,1009603252,1009605651,1009606591,1009610545,1009610907,1009612085,1009612622,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1011385237,1011385237,1011385237,1011385237,1011385237,1011385237,1011390791,1011390791,1011390791,1011392769,1011392898,1011392898,1011392898,1011393457,1011393457,1011396355,1011396430,1011396430,1011396430,1011397694,1011397694,1011397694,1011398066,1011398066,1011398066,1011398158,1011398158,1011400467,1011401899,1011401899,1011401899,1011402473,1011402473,1011402473,1011404606,1011404613,1011404613,1011404613,1011404613,1011407135,1011407135,1011407135,1011407135,1011409465,1011409574,1011409574,1011409574,1011410829,1011410829,1011410829,1011411298,1011411298,1011411298,1011411298,1011414734,1011414734,1011414734,1011418578,1011420032,1011420032,1011424346,1011424346,1011424346,1011424346,1011425834,1011425834,1011425834,1011425834,1011434622,1011434622,1011434622,1011434622,1011437954,1011437954,1011437954,1011443261,1011443261,1011443261,1011443261,1011443261,1011443261,1011443261,1011443261,1011443261,1011457577,1011457577,1011457577,1011457577,1011457577,1011462215,1011462215,1011462215,1011462215,1011462215,1011465904,1011465904,1011468677,1011468677,1011468677,1011468677,1011468677,1011477095,1011477095,1011477095,1011480213,1011480213,1011480213,1011480213,1011481816,1011481816,1011484881,1011484881,1011484881,1011488178,1011488178,1011489414,1011489414,1011489968,1011489968,1011490223,1011490223,1011490223,1011491079,1011491079,1011491079,1011493848,1011493848,1011493848,1011493848,1011495478,1011495726,1011495726,1011495805,1011495805,1011496390,1011496390,1011496390,1011502472,1011502472,1011502472,1011502472,1011502472,1011502472,1011502472,1011512023,1011512023,1011512023,1011512023,1011512023,1011512023,1011512023,1011512023,1011520410,1011523789,1011523789,1011523789,1011528766,1011528766,1011528766,1011529099,1011531809,1011534484,1011534484,1011534484,1011538290,1011544984,1011547574,1011548150,1011548160,1011548160,1011548160,1011559615,1011559615,1011559615,1011562152,1011564989,1011566056,1011566193,1011571981,1011571981,1011571981,1011579853,1011585932,1011585932,1011585932,1011588849,1011588849,1011588849,1011589123,1011592725,1011592725,1011592725,1011608664,1011609105,1011609105,1011609105,1011611084,1011611084,1011611084,1011624740,1011624740,1011624740,1011634034,1011634034,1011634034,1011634234,1011640645,1011640645,1011640645,1011644744,1011644744,1011644744,1011645811,1011651413,1011651413,1011651413,1011654362,1011654362,1011654362,1011654528,1011657332,1011657332,1011657332,1011662362,1011662619,1011662619,1011662619,1011663476,1011663476,1011663476,1011668056,1011668056,1011668056,1011670370,1011670370,1011670370,1011670717,1011673656,1011673656,1011673656,1011677580,1011677580,1011677580,1011678720,1011683361,1011685864,1011685864,1011685864,1011686079,1011688983,1011688983,1011688983,1011693938,1011694364,1011694364,1011694364,1011695466,1011695466,1011695466,1011699769,1011699769,1011699769,1011702348,1011702348,1011702348,1011702505,1011705893,1011705893,1011705893,1011709562,1011709562,1011709562,1011710767,1011715538,1011715538,1011715538,1011717330,1011717330,1011717330,1011717619,1011720875,1011720875,1011720875,1011729848,1011730059,1011732068,1011732068,1011732068,1011745377,1011745377,1011745377,1011749566,1011749566,1011749566,1011749858,1011754365,1011754365,1011754365,1011760638,1011760638,1011760638,1011762810,1011771576,1011771576,1011771576,1011775541,1011776020,1011781061,1011781061,1011781061,1011796254,1011796698,1011796698,1011796698,1011799475,1011799475,1011799475,1011808998,1011808998,1011808998,1011814282,1011821500,1011821500,1011821500,1011832261,1011832261,1011832261,1011835744,1011848232,1011848232,1011848232,1011854319,1011854319,1011854319,1011854963,1011864240,1011864240,1011864240,1011898788,1011899407,1011899407,1011899407,1011931979,1011944950,1011965698,1011996123,1012057222,1012102669,1012119521,1012135860,1012160794,1012200244,1012235645,1012274412,1012311640,1012339065,1012349230,1012361132,1012373392,1012384518,1012398135,1012427065,1012513577,1012578256,1012607734,1012648310,1012685278,1012707037,1012743150,1012781188,1012813612,1012833333,1012850052,1012869002,1012888262,1012906666,1012936419,1012962396,1012994405,1013020657,1013050397,1013079710,1013109508,1013134908,1013164472,1013191881,1013222542,1013249566,1013282215,1013324564,1013355533,1013384424,1013419594,1013448997,1013485942,1013512097,1013537850,1013559474,1013586242,1013611684,1013640149,1013670297,1013697356,1013725231,1013753991,1013783575,1013815404,1013840142,1013868399,1013894812,1013925415,1013949397,1013978231,1014004243,1014031972,1014060887,1014089823,1014119984,1014151375,1014181975,1014218096,1014249255,1014284656,1014318635,1014358903,1014399312,1014444627,1014481400,1014495902,1014509028,1014535925,1014563943,1014589268,1014610198,1014629935,1014653258,1014670095,1014686435,1014702094,1014722035,1014741622,1014798046,1014814529,1014852880,1014876921,1014904377,1014932042,1014973932,1014997291,1015026128,1015061977,1015087312,1015113513,1015135855,1015159053,1015185816,1015228382,1015250485,1015271020,1015289447,1015309869,1015328275,1015341942,1015364704,1015387462,1015408728,1015431747,1015447242,1015472224,1015491231,1015505921,1015524804,1015545380,1015569537,1015593874,1015618670,1015640096,1015678518,1015699353,1015725538,1015785033,1015803324,1015824162,1015858642,1015891612,1015922242,1015951186,1015979958,1016008981,1016031644,1016057737,1016079046,1016104691,1016129808,1016151055,1016165404,1016177370,1016191025,1016200475,1016250154,1056228410,1056230995,1056231396,1056270608,1056338911,1056384136,1056391584,1056418913,1056453294,1056513349,1056583090,1056651951,1056690745,1056711157,1056736176,1056748727,1056756883,1056764900,1056772438,1056784478,1056800791,1056808381,1056818152,1056830021,1056830677,1056830945,1056831074,1056831554,1056831852,1056837631,1056856207,1056920473,1056980402,1057041125,1057088054,1057121112,1057151346,1057220553,1057280509,1057341343,1057404847,1057405390,1057407763,1057472516,1057500273,1057540056,1057593135,1057647551,1057687880,1057710262,1057732745,1057755505,1057764771,1057772057,1057778723,1057785417,1057793604,1057801262,1057807126,1057813941,1057816039,1057829283,1057848914,1057892841,1057897022,1057932760,1058003327,1058069210,1058128314,1058168235,1058219002,1058252318,1058301782,1058344221,1058357003,1058360841,1058373428,1058397927,1058419189,1058452273,1058454549,1058497067,1058498209,1058498415,1058498768,1058521792,1058551447,1058552624,1058555680,1058558895,1058563073,1058588010,1058598163,1058621587,1058654997,1058676196,1058707463,1058970480,1059006624,1059046566,1059191654,1059236197,1059303269,1059358499,1059421120,1059465152,1059519817,1059570914,1059621390,1059666510,1059721383,1059764185,1059769185,1059785230,1059879565,1059945491,1060020929,1060078211,1060220739,1060379663,1060464893,1060518326,1060593808,1060658650,1060713774,1060747609,1060788854,1060803882,1060857837,1060887242,1060936294,1060966199,1061000348,1061056462,1061100124,1061192546,1061226357,1061229428,1061238742,1061286703,1061337833,1061360123,1061417197,1061498966,1061555748,1061610189,1061671174,1061719300,1061764000,1061784992,1061817862,1061883304,1061935817,1062011812,1062066027,1062133127,1062316227,1062405204,1062458591,1062503693,1062550082,1062590645,1062648861,1062695435,1062723338,1062756109,1062784497,1062812430,1062854622,1062915392,1062972089,1063010694,1063064212,1063123896,1063221074,1063265470,1063308572,1063509637,1063558461,1063625396,1063754714,1063792621,1063859381,1064104828,1064194327,1064238848,1064271157,1064300595,1064328044,1064355807,1064384231,1064413863,1064442499,1064475863,1064569990,1064629408,1064679937,1064718116,1064843965,1064885494,1064925686,1064980981,1065025223,1065066421,1065122256,1065166125,1065199554,1065231172,1065248308,1065277474,1065295448,1065311548,1065327184,1065338941,1065347316,1065358524,1065423044,1065464750,1065551060,1065640477,1065683383,1065752106,1065853214,1065872618,1065886167,1065906997,1065929864,1065949958,1065970149,1065989091,1066036681,1066082792,1066127198,1066177814,1066234444,1066280975,1066333748,1066370055,1066403947,1066434331,1066459554,1066470975,1066476564,1066483569,1066495989,1066526109,1066576208,1066628893,1066688038,1066748031,1066802950,1066855081,1066901148,1066957295,1067018960,1067077307,1067126793,1067176864,1067220036,1067242691,1067290906,1067350626,1067420130,1067482002,1067541096,1067577647,1067619698,1067661435,1067690191,1067717414,1067747138,1067774112,1067802800,1067861249,1067911431,1067941478,1067982047,1068035445,1068088471,1068111526,1068135668,1068160646,1068189419,1068212313,1068237225,1068269603,1068303914,1068329046,1068346739,1068348691,1068386857,1068425048,1068452884,1068458893,1068468412,1068469245,1068469819,1068470401,1068471258,1068471943,1068474409,1068506226,1068541458,1068570957,1068623505,1068682678,1068719359,1068741809,1068773096,1068806813,1068837184,1068851168,1068855957,1068875459,1068897957,1068917463,1068943961,1068968310,1068982664,1069002726,1069020498,1069057620,1069125044,1069205888,1069239240,1069260806,1069283981,1069310062,1069337746,1069359153,1069378206,1069385923,1069408085,1069454244,1069505570,1069547704,1069590740,1069703344,1069823740,1069863127,1069957904,1069991320,1070012155,1070039929,1070071215,1070086447,1070096250,1070099003,1070109608,1070151842,1070176007,1070188630,1070229602,1070274897,1070325003,1070371824,1070420338,1070483036,1070525074,1070555663,1070594548,1070637083,1070680464,1070724015,1070790695,1070943047,1071200711,1071239808,1071464242,1071636096,1071703689,1071767893,1071811888,1071860806,1071928107,1072017177,1072118440,1072207679,1072297360,1072393940,1072508113,1072582572,1072632150,1072728396,1072839511,1072917093,1072972612,1073027774,1073056959,1073111357,1073142087,1073196806,1073244301,1073366400,1073503492,1073644965,1073725121,1073807926,1073882317,1073948836,1074028102) and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941272796 updated with thcls [2444]
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009071264,1009221814,1009235447,1009235447,1009279341,1009279357,1009280655,1009282604,1009285754,1009285766,1009287139,1009288504,1009288547,1009289520,1009290970,1009291016,1009292125,1009293464,1009293495,1009302643,1009302925,1009314299,1009325393,1009325686,1009331809,1009337443,1009343209,1009348718,1009360428,1009360711,1009366171,1009370140,1009378374,1009378414,1009382208,1009387317,1009387466,1009397639,1009397720,1009407254,1009418245,1009418927,1009427414,1009430108,1009431384,1009433079,1009433145,1009434054,1009434385,1009434695,1009435682,1009436482,1009436965,1009437044,1009437240,1009438336,1009438591,1009440273,1009440279,1009442465,1009442510,1009442529,1009444077,1009444131,1009445414,1009445539,1009446903,1009448267,1009448397,1009449790,1009451630,1009451632,1009451751,1009452462,1009452962,1009452980,1009454197,1009454248,1009454338,1009455535,1009457026,1009457033,1009457229,1009460751,1009460968,1009466378,1009466453,1009467102,1009471968,1009472269,1009477696,1009478120,1009481723,1009482988,1009487454,1009487658,1009487951,1009489089,1009489219,1009489309,1009490316,1009490480,1009495061,1009495489,1009498945,1009500500,1009500767,1009506265,1009506271,1009506276,1009506747,1009509721,1009510179,1009511664,1009517341,1009517536,1009517850,1009521437,1009521608,1009525341,1009525355,1009525618,1009528262,1009529526,1009533040,1009533045,1009533519,1009536206,1009540620,1009540775,1009541036,1009543635,1009544886,1009545317,1009549108,1009549848,1009551214,1009552746,1009553915,1009557765,1009558261,1009560601,1009562086,1009566564,1009567166,1009570168,1009571290,1009576219,1009576837,1009579453,1009580610,1009585074,1009585474,1009587841,1009589123,1009593909,1009596968,1009597990,1009602702,1009603253,1009605652,1009606592,1009610546,1009610908,1009612086,1009612623,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1011385238,1011385238,1011385238,1011385238,1011385238,1011385238,1011390792,1011390792,1011390792,1011392770,1011392899,1011392899,1011392899,1011393459,1011393459,1011396356,1011396431,1011396431,1011396431,1011397695,1011397695,1011397695,1011398067,1011398067,1011398067,1011398159,1011398159,1011400468,1011401901,1011401901,1011401901,1011402474,1011402474,1011402474,1011404607,1011404614,1011404614,1011404614,1011404614,1011407136,1011407136,1011407136,1011407136,1011409466,1011409575,1011409575,1011409575,1011410830,1011410830,1011410830,1011411299,1011411299,1011411299,1011411299,1011414735,1011414735,1011414735,1011418579,1011420033,1011420033,1011424347,1011424347,1011424347,1011424347,1011425835,1011425835,1011425835,1011425835,1011434623,1011434623,1011434623,1011434623,1011437955,1011437955,1011437955,1011443262,1011443262,1011443262,1011443262,1011443262,1011443262,1011443262,1011443262,1011443262,1011457578,1011457578,1011457578,1011457578,1011457578,1011462216,1011462216,1011462216,1011462216,1011462216,1011465905,1011465905,1011468678,1011468678,1011468678,1011468678,1011468678,1011477096,1011477096,1011477096,1011480214,1011480214,1011480214,1011480214,1011481817,1011481817,1011484882,1011484882,1011484882,1011488179,1011488179,1011489415,1011489415,1011489969,1011489969,1011490224,1011490224,1011490224,1011491080,1011491080,1011491080,1011493849,1011493849,1011493849,1011493849,1011495479,1011495727,1011495727,1011495806,1011495806,1011496391,1011496391,1011496391,1011502473,1011502473,1011502473,1011502473,1011502473,1011502473,1011502473,1011512024,1011512024,1011512024,1011512024,1011512024,1011512024,1011512024,1011512024,1011520411,1011523790,1011523790,1011523790,1011528767,1011528767,1011528767,1011529100,1011531810,1011534485,1011534485,1011534485,1011538291,1011544985,1011547575,1011548151,1011548161,1011548161,1011548161,1011559616,1011559616,1011559616,1011562153,1011564990,1011566057,1011566194,1011571982,1011571982,1011571982,1011579855,1011585933,1011585933,1011585933,1011588850,1011588850,1011588850,1011589124,1011592726,1011592726,1011592726,1011608665,1011609106,1011609106,1011609106,1011611085,1011611085,1011611085,1011624741,1011624741,1011624741,1011634035,1011634035,1011634035,1011634235,1011640646,1011640646,1011640646,1011644745,1011644745,1011644745,1011645812,1011651414,1011651414,1011651414,1011654363,1011654363,1011654363,1011654529,1011657333,1011657333,1011657333,1011662363,1011662620,1011662620,1011662620,1011663477,1011663477,1011663477,1011668057,1011668057,1011668057,1011670371,1011670371,1011670371,1011670718,1011673657,1011673657,1011673657,1011677581,1011677581,1011677581,1011678721,1011683362,1011685865,1011685865,1011685865,1011686080,1011688984,1011688984,1011688984,1011693939,1011694365,1011694365,1011694365,1011695467,1011695467,1011695467,1011699770,1011699770,1011699770,1011702349,1011702349,1011702349,1011702506,1011705894,1011705894,1011705894,1011709563,1011709563,1011709563,1011710768,1011715539,1011715539,1011715539,1011717331,1011717331,1011717331,1011717620,1011720876,1011720876,1011720876,1011729849,1011730060,1011732069,1011732069,1011732069,1011745378,1011745378,1011745378,1011749567,1011749567,1011749567,1011749859,1011754366,1011754366,1011754366,1011760639,1011760639,1011760639,1011762811,1011771577,1011771577,1011771577,1011775543,1011776021,1011781062,1011781062,1011781062,1011796255,1011796700,1011796700,1011796700,1011799476,1011799476,1011799476,1011808999,1011808999,1011808999,1011814283,1011821501,1011821501,1011821501,1011832262,1011832262,1011832262,1011835745,1011848233,1011848233,1011848233,1011854320,1011854320,1011854320,1011854964,1011864241,1011864241,1011864241,1011898789,1011899408,1011899408,1011899408,1011931980,1011944951,1011965699,1011996124,1012057223,1012102670,1012119522,1012135861,1012160795,1012200246,1012235646,1012274414,1012311641,1012339066,1012349231,1012361133,1012373393,1012384519,1012398136,1012427066,1012513578,1012578257,1012607735,1012648311,1012685279,1012707038,1012743151,1012781189,1012813613,1012833334,1012850053,1012869003,1012888264,1012906667,1012936420,1012962397,1012994406,1013020658,1013050398,1013079711,1013109509,1013134909,1013164473,1013191882,1013222543,1013249567,1013282216,1013324565,1013355534,1013384425,1013419595,1013448998,1013485943,1013512099,1013537851,1013559475,1013586243,1013611685,1013640150,1013670298,1013697357,1013725232,1013753992,1013783576,1013815405,1013840143,1013868400,1013894813,1013925416,1013949398,1013978232,1014004244,1014031973,1014060888,1014089824,1014119985,1014151376,1014181976,1014218097,1014249256,1014284657,1014318636,1014358904,1014399313,1014444628,1014481401,1014495903,1014509029,1014535926,1014563944,1014589269,1014610199,1014629936,1014653259,1014670096,1014686436,1014702095,1014722036,1014741623,1014798047,1014814530,1014852881,1014876922,1014904378,1014932043,1014973933,1014997292,1015026129,1015061978,1015087313,1015113514,1015135856,1015159054,1015185817,1015228383,1015250486,1015271021,1015289448,1015309870,1015328276,1015341944,1015364705,1015387463,1015408729,1015431748,1015447243,1015472225,1015491232,1015505922,1015524805,1015545381,1015569538,1015593875,1015618672,1015640097,1015678519,1015699354,1015725539,1015785034,1015803325,1015824163,1015858643,1015891613,1015922243,1015951187,1015979959,1016008982,1016031645,1016057738,1016079047,1016104692,1016129809,1016151056,1016165405,1016177371,1016191026,1016200476,1016250155,1056228412,1056230996,1056231397,1056270609,1056338912,1056384137,1056391585,1056418914,1056453295,1056513350,1056583091,1056651952,1056690746,1056711158,1056736177,1056748728,1056756884,1056764901,1056772439,1056784479,1056800792,1056808382,1056818153,1056830022,1056830678,1056830946,1056831075,1056831555,1056831853,1056837632,1056856208,1056920474,1056980403,1057041126,1057088055,1057121113,1057151347,1057220554,1057280510,1057341344,1057404848,1057405391,1057407764,1057472517,1057500274,1057540057,1057593136,1057647552,1057687881,1057710263,1057732746,1057755506,1057764772,1057772059,1057778724,1057785418,1057793605,1057801263,1057807127,1057813942,1057816040,1057829284,1057848915,1057892842,1057897023,1057932761,1058003328,1058069211,1058128315,1058168236,1058219003,1058252320,1058301783,1058344222,1058357004,1058360842,1058373429,1058397928,1058419190,1058452274,1058454550,1058497068,1058498210,1058498416,1058498769,1058521793,1058551448,1058552625,1058555681,1058558896,1058563074,1058588011,1058598164,1058621588,1058654998,1058676197,1058707464,1058970481,1059006625,1059046567,1059191655,1059236198,1059303270,1059358500,1059421121,1059465153,1059519818,1059570915,1059621391,1059666511,1059721384,1059764186,1059769186,1059785231,1059879566,1059945492,1060020930,1060078212,1060220740,1060379664,1060464894,1060518327,1060593809,1060658651,1060713775,1060747610,1060788855,1060803883,1060857838,1060887243,1060936295,1060966200,1061000349,1061056463,1061100125,1061192547,1061226358,1061229429,1061238743,1061286704,1061337834,1061360124,1061417198,1061498967,1061555749,1061610190,1061671175,1061719301,1061764001,1061784993,1061817863,1061883305,1061935818,1062011813,1062066028,1062133128,1062316228,1062405205,1062458592,1062503694,1062550083,1062590646,1062648862,1062695436,1062723339,1062756110,1062784498,1062812431,1062854623,1062915393,1062972090,1063010695,1063064213,1063123897,1063221075,1063265471,1063308573,1063509638,1063558462,1063625397,1063754715,1063792622,1063859382,1064104829,1064194328,1064238849,1064271158,1064300596,1064328045,1064355808,1064384232,1064413864,1064442500,1064475864,1064569992,1064629409,1064679938,1064718117,1064843967,1064885495,1064925687,1064980982,1065025224,1065066422,1065122257,1065166126,1065199555,1065231173,1065248309,1065277475,1065295449,1065311549,1065327185,1065338942,1065347317,1065358525,1065423045,1065464751,1065551061,1065640478,1065683384,1065752107,1065853215,1065872619,1065886168,1065906998,1065929865,1065949959,1065970150,1065989092,1066036682,1066082793,1066127199,1066177815,1066234445,1066280976,1066333749,1066370056,1066403948,1066434332,1066459555,1066470976,1066476565,1066483570,1066495990,1066526110,1066576209,1066628894,1066688039,1066748032,1066802951,1066855082,1066901149,1066957296,1067018961,1067077308,1067126794,1067176865,1067220037,1067242692,1067290907,1067350627,1067420131,1067482003,1067541097,1067577648,1067619699,1067661436,1067690192,1067717415,1067747139,1067774113,1067802801,1067861252,1067911432,1067941479,1067982048,1068035446,1068088472,1068111527,1068135669,1068160647,1068189420,1068212314,1068237226,1068269604,1068303915,1068329047,1068346740,1068348692,1068386858,1068425049,1068452885,1068458894,1068468413,1068469246,1068469820,1068470402,1068471259,1068471944,1068474410,1068506227,1068541459,1068570958,1068623506,1068682679,1068719360,1068741810,1068773097,1068806814,1068837185,1068851169,1068855958,1068875460,1068897958,1068917464,1068943962,1068968311,1068982665,1069002727,1069020499,1069057621,1069125045,1069205889,1069239241,1069260807,1069283982,1069310063,1069337747,1069359154,1069378207,1069385924,1069408086,1069454245,1069505571,1069547705,1069590741,1069703345,1069823741,1069863128,1069957905,1069991321,1070012156,1070039930,1070071216,1070086448,1070096251,1070099004,1070109609,1070151843,1070176008,1070188631,1070229603,1070274898,1070325005,1070371825,1070420339,1070483037,1070525075,1070555664,1070594549,1070637084,1070680465,1070724016,1070790696,1070943048,1071200712,1071239809,1071464244,1071636097,1071703690,1071767894,1071811889,1071860807,1071928108,1072017178,1072118442,1072207680,1072297361,1072393941,1072508114,1072582573,1072632151,1072728397,1072839512,1072917094,1072972613,1073027775,1073056960,1073111358,1073142089,1073196807,1073244303,1073366401,1073503493,1073644966,1073725122,1073807927,1073882318,1073948837,1074028103) and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941272793 updated with thcls [2444]
chi 1941272803 saved with no changes
chi 1941272804 saved with no changes
chi 1941272805 saved with no changes
chi 1941272781 saved with no changes
chi 1941272789 saved with no changes
chi 1941272798 saved with no changes
chi 1941272812 saved with no changes
chi 1941272800 saved with no changes
chi 1941272784 saved with no changes
chi 1941272782 saved with no changes
chi 1941272794 saved with no changes
chi 1941272795 saved with no changes
chi 1941272806 saved with no changes
chi 1941272785 saved with no changes
chi 1941272790 saved with no changes
chi 1941272783 saved with no changes
chi 1941272787 saved with no changes
processing picture : 1009068724


begin to find the sub_photo_id : 

        select crop_hashtag_id , sub_photo_id from MTRPhoto.crop_sub_photo_ids where crop_hashtag_id in (1941270022,1941270015,1941270036,1941270021,1941270029,1941270018,1941270017,1941270025,1941607383,1941270019,1941270038,1941270040,1941270014,1941270039,1941270020,1941270030,1941270033,1941270028,1941270027,1941270026,1941270032,1941270031,1941270035,1941270037,1941270041,1941270012,1941270013,1941607380,1941607381,2202875936,1941270008,1941270016,1941607382,1941270034,2202875937,1941270010,1941270005,1941270007,1941270024,1941270011,2202875938,1941270023,1941607379,1941270006,1941270009) ;
        
chi 1941270022 saved with no changes
chi 1941270015 saved with no changes
chi 1941270036 saved with no changes
chi 1941270021 saved with no changes
chi 1941270029 saved with no changes
chi 1941270018 saved with no changes
chi 1941270017 saved with no changes
chi 1941270025 saved with no changes
chi 1941607383 saved with no changes
chi 1941270019 saved with no changes
chi 1941270038 saved with no changes
chi 1941270040 saved with no changes
chi 1941270014 saved with no changes
chi 1941270039 saved with no changes
chi 1941270020 saved with no changes
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009070856,1009221556,1009235000,1009235000,1009235000,1009279342,1009279352,1009280656,1009282608,1009285758,1009285767,1009287134,1009288505,1009288551,1009289512,1009290974,1009291020,1009292129,1009293459,1009293499,1009302644,1009302926,1009314291,1009325388,1009325687,1009331813,1009337444,1009343213,1009348719,1009360418,1009360712,1009366172,1009370141,1009378378,1009378418,1009382212,1009387309,1009387467,1009397623,1009397721,1009407255,1009418249,1009418931,1009427415,1009430103,1009431388,1009433083,1009433140,1009434049,1009434049,1009434049,1009434377,1009434377,1009434377,1009434690,1009434690,1009434690,1009435683,1009436483,1009436969,1009436969,1009436969,1009437039,1009437244,1009438330,1009438586,1009438586,1009438586,1009440274,1009440283,1009440274,1009440274,1009442466,1009442502,1009442533,1009442533,1009442533,1009444071,1009444126,1009444126,1009444126,1009445418,1009445543,1009446898,1009446898,1009446898,1009448271,1009448392,1009448392,1009448392,1009449794,1009449794,1009449794,1009451625,1009451636,1009451746,1009451746,1009451746,1009452466,1009452466,1009452466,1009452957,1009452957,1009452957,1009452981,1009454192,1009454249,1009454339,1009454339,1009454339,1009455527,1009457021,1009457034,1009457224,1009457224,1009457224,1009460746,1009460746,1009460746,1009460963,1009466379,1009466448,1009467103,1009467103,1009467103,1009471963,1009471963,1009471963,1009472264,1009477697,1009478110,1009478110,1009478110,1009481715,1009481715,1009481715,1009482983,1009482983,1009482983,1009487455,1009487650,1009487952,1009487952,1009487952,1009489081,1009489223,1009489310,1009489310,1009489310,1009490311,1009490311,1009490311,1009490481,1009495056,1009495484,1009495484,1009495484,1009498949,1009498949,1009498949,1009500504,1009500504,1009500504,1009500755,1009506260,1009506266,1009506266,1009506280,1009506742,1009506742,1009506742,1009509716,1009510174,1009510174,1009510174,1009511665,1009511665,1009511665,1009517335,1009517537,1009517845,1009517845,1009517845,1009521429,1009521429,1009521429,1009521603,1009525336,1009525350,1009525619,1009525619,1009525619,1009528263,1009529518,1009529518,1009529518,1009533041,1009533047,1009533520,1009533520,1009533520,1009536210,1009536210,1009536210,1009540621,1009540767,1009541040,1009541040,1009541040,1009543630,1009543630,1009543630,1009544881,1009545318,1009545318,1009545318,1009549109,1009549843,1009549843,1009549843,1009551218,1009551218,1009551218,1009552741,1009553916,1009553916,1009553916,1009557766,1009558262,1009558262,1009558262,1009560602,1009560602,1009560602,1009562081,1009562081,1009562081,1009566559,1009567161,1009567161,1009567161,1009570163,1009571294,1009571294,1009571294,1009576213,1009576838,1009576838,1009576838,1009579448,1009579448,1009579448,1009580611,1009580611,1009580611,1009585078,1009585478,1009585478,1009585478,1009587842,1009589124,1009589124,1009589124,1009593904,1009596963,1009597982,1009597982,1009597982,1009602703,1009603248,1009603248,1009603248,1009605647,1009605647,1009605647,1009606587,1009606587,1009606587,1009610541,1009610909,1009610909,1009610909,1009612090,1009612090,1009612090,1009612624,1009612624,1009612624,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1011385242,1011385242,1011385242,1011385242,1011385242,1011385242,1011390787,1011390787,1011390787,1011392771,1011392894,1011392894,1011392894,1011393461,1011393461,1011396351,1011396426,1011396426,1011396426,1011397699,1011397699,1011397699,1011398062,1011398062,1011398062,1011398154,1011398154,1011400469,1011401903,1011401903,1011401903,1011402478,1011402478,1011402478,1011404602,1011404615,1011404615,1011404615,1011404615,1011407128,1011407128,1011407128,1011407128,1011409467,1011409576,1011409576,1011409576,1011410834,1011410834,1011410834,1011411300,1011411300,1011411300,1011411300,1011414736,1011414736,1011414736,1011418571,1011420034,1011420034,1011424342,1011424342,1011424342,1011424342,1011425836,1011425836,1011425836,1011425836,1011434625,1011434625,1011434625,1011434625,1011437950,1011437950,1011437950,1011443266,1011443266,1011443266,1011443266,1011443266,1011443266,1011443266,1011443266,1011443266,1011457570,1011457570,1011457570,1011457570,1011457570,1011462217,1011462217,1011462217,1011462217,1011462217,1011465906,1011465906,1011468679,1011468679,1011468679,1011468679,1011468679,1011477097,1011477097,1011477097,1011480215,1011480215,1011480215,1011480215,1011481812,1011481812,1011484877,1011484877,1011484877,1011488183,1011488183,1011489419,1011489419,1011489970,1011489970,1011490225,1011490225,1011490225,1011491084,1011491084,1011491084,1011493853,1011493853,1011493853,1011493853,1011495474,1011495719,1011495719,1011495807,1011495807,1011496392,1011496392,1011496392,1011502468,1011502468,1011502468,1011502468,1011502468,1011502468,1011502468,1011512016,1011512016,1011512016,1011512016,1011512016,1011512016,1011512016,1011512016,1011520403,1011523791,1011523791,1011523791,1011528768,1011528768,1011528768,1011529095,1011531811,1011534480,1011534480,1011534480,1011538295,1011544980,1011547576,1011548146,1011548162,1011548162,1011548162,1011559617,1011559617,1011559617,1011562157,1011564994,1011566058,1011566195,1011571977,1011571977,1011571977,1011579856,1011585928,1011585928,1011585928,1011588851,1011588851,1011588851,1011589125,1011592718,1011592718,1011592718,1011608666,1011609101,1011609101,1011609101,1011611086,1011611086,1011611086,1011624745,1011624745,1011624745,1011634036,1011634036,1011634036,1011634236,1011640638,1011640638,1011640638,1011644746,1011644746,1011644746,1011645813,1011651418,1011651418,1011651418,1011654364,1011654364,1011654364,1011654530,1011657334,1011657334,1011657334,1011662364,1011662621,1011662621,1011662621,1011663481,1011663481,1011663481,1011668058,1011668058,1011668058,1011670372,1011670372,1011670372,1011670719,1011673652,1011673652,1011673652,1011677585,1011677585,1011677585,1011678716,1011683363,1011685860,1011685860,1011685860,1011686075,1011688985,1011688985,1011688985,1011693934,1011694366,1011694366,1011694366,1011695468,1011695468,1011695468,1011699774,1011699774,1011699774,1011702350,1011702350,1011702350,1011702507,1011705898,1011705898,1011705898,1011709558,1011709558,1011709558,1011710769,1011715540,1011715540,1011715540,1011717332,1011717332,1011717332,1011717621,1011720877,1011720877,1011720877,1011729844,1011730055,1011732061,1011732061,1011732061,1011745379,1011745379,1011745379,1011749568,1011749568,1011749568,1011749860,1011754358,1011754358,1011754358,1011760631,1011760631,1011760631,1011762812,1011771578,1011771578,1011771578,1011775544,1011776022,1011781057,1011781057,1011781057,1011796256,1011796708,1011796708,1011796708,1011799480,1011799480,1011799480,1011809000,1011809000,1011809000,1011814278,1011821496,1011821496,1011821496,1011832263,1011832263,1011832263,1011835739,1011848234,1011848234,1011848234,1011854321,1011854321,1011854321,1011854965,1011864245,1011864245,1011864245,1011898784,1011899409,1011899409,1011899409,1011931975,1011944952,1011965700,1011996119,1012057215,1012102671,1012119517,1012135855,1012160790,1012200247,1012235641,1012274415,1012311636,1012339061,1012349232,1012361134,1012373388,1012384520,1012398137,1012427067,1012513579,1012578258,1012607730,1012648306,1012685280,1012707033,1012743152,1012781184,1012813608,1012833329,1012850054,1012869004,1012888266,1012906668,1012936415,1012962398,1012994407,1013020653,1013050399,1013079706,1013109510,1013134904,1013164468,1013191883,1013222538,1013249568,1013282217,1013324566,1013355529,1013384426,1013419590,1013448993,1013485945,1013512101,1013537852,1013559470,1013586244,1013611680,1013640151,1013670299,1013697352,1013725227,1013753987,1013783571,1013815406,1013840138,1013868395,1013894814,1013925417,1013949393,1013978227,1014004245,1014031968,1014060883,1014089825,1014119980,1014151370,1014181977,1014218098,1014249257,1014284652,1014318637,1014358905,1014399308,1014444629,1014481396,1014495904,1014509024,1014535927,1014563939,1014589264,1014610194,1014629931,1014653254,1014670097,1014686437,1014702096,1014722031,1014741618,1014798042,1014814531,1014852876,1014876916,1014904379,1014932038,1014973928,1014997286,1015026124,1015061973,1015087308,1015113509,1015135851,1015159055,1015185818,1015228378,1015250487,1015271016,1015289449,1015309871,1015328271,1015341934,1015364706,1015387464,1015408730,1015431749,1015447244,1015472220,1015491227,1015505917,1015524800,1015545382,1015569539,1015593870,1015618663,1015640098,1015678514,1015699349,1015725534,1015785029,1015803326,1015824158,1015858644,1015891608,1015922238,1015951182,1015979954,1016008977,1016031640,1016057739,1016079042,1016104693,1016129810,1016151051,1016165406,1016177372,1016191021,1016200471,1016250150,1056228405,1056230991,1056231391,1056270610,1056338907,1056384132,1056391586,1056418909,1056453290,1056513345,1056583092,1056651953,1056690747,1056711159,1056736178,1056748729,1056756879,1056764896,1056772434,1056784480,1056800787,1056808377,1056818148,1056830023,1056830673,1056830947,1056831076,1056831556,1056831854,1056837633,1056856209,1056920475,1056980404,1057041127,1057088056,1057121108,1057151342,1057220555,1057280511,1057341345,1057404843,1057405392,1057407765,1057472509,1057500269,1057540058,1057593125,1057647547,1057687876,1057710264,1057732747,1057755507,1057764773,1057772052,1057778725,1057785413,1057793600,1057801258,1057807128,1057813937,1057816041,1057829285,1057848916,1057892837,1057897018,1057932756,1058003322,1058069206,1058128310,1058168237,1058218996,1058252309,1058301784,1058344216,1058356999,1058360843,1058373424,1058397929,1058419185,1058452269,1058454545,1058497063,1058498205,1058498417,1058498764,1058521788,1058551449,1058552620,1058555676,1058558897,1058563075,1058588012,1058598159,1058621589,1058654999,1058676192,1058707465,1058970476,1059006626,1059046568,1059191650,1059236200,1059303265,1059358501,1059421116,1059465154,1059519819,1059570908,1059621386,1059666506,1059721385,1059764181,1059769187,1059785226,1059879567,1059945487,1060020931,1060078213,1060220735,1060379659,1060464895,1060518322,1060593804,1060658652,1060713776,1060747605,1060788850,1060803884,1060857833,1060887244,1060936296,1060966195,1061000350,1061056458,1061100120,1061192542,1061226353,1061229430,1061238744,1061286705,1061337835,1061360119,1061417199,1061498968,1061555744,1061610191,1061671176,1061719302,1061763996,1061784988,1061817864,1061883306,1061935813,1062011814,1062066023,1062133123,1062316229,1062405206,1062458587,1062503689,1062550076,1062590641,1062648863,1062695431,1062723340,1062756111,1062784493,1062812432,1062854624,1062915394,1062972085,1063010690,1063064214,1063123898,1063221076,1063265472,1063308568,1063509639,1063558457,1063625398,1063754710,1063792623,1063859377,1064104830,1064194323,1064238850,1064271159,1064300597,1064328040,1064355809,1064384227,1064413859,1064442495,1064475865,1064569993,1064629410,1064679939,1064718118,1064843968,1064885496,1064925688,1064980977,1065025219,1065066417,1065122252,1065166127,1065199556,1065231168,1065248304,1065277476,1065295444,1065311550,1065327180,1065338944,1065347318,1065358526,1065423046,1065464746,1065551062,1065640479,1065683379,1065752108,1065853210,1065872620,1065886163,1065906993,1065929860,1065949954,1065970145,1065989087,1066036677,1066082794,1066127200,1066177816,1066234446,1066280971,1066333750,1066370057,1066403949,1066434333,1066459556,1066470977,1066476566,1066483565,1066495991,1066526111,1066576204,1066628889,1066688040,1066748033,1066802946,1066855083,1066901150,1066957297,1067018956,1067077303,1067126795,1067176860,1067220038,1067242687,1067290902,1067350628,1067420132,1067481997,1067541098,1067577643,1067619694,1067661437,1067690193,1067717416,1067747134,1067774114,1067802802,1067861254,1067911433,1067941480,1067982049,1068035447,1068088467,1068111528,1068135670,1068160642,1068189421,1068212315,1068237221,1068269605,1068303916,1068329048,1068346741,1068348693,1068386853,1068425050,1068452880,1068458889,1068468408,1068469247,1068469815,1068470403,1068471260,1068471939,1068474411,1068506228,1068541460,1068570953,1068623507,1068682680,1068719361,1068741811,1068773098,1068806809,1068837180,1068851164,1068855953,1068875461,1068897959,1068917459,1068943957,1068968306,1068982666,1069002722,1069020494,1069057622,1069125046,1069205890,1069239242,1069260808,1069283977,1069310064,1069337748,1069359149,1069378202,1069385925,1069408081,1069454239,1069505572,1069547700,1069590742,1069703347,1069823742,1069863123,1069957906,1069991316,1070012151,1070039925,1070071217,1070086449,1070096252,1070099005,1070109604,1070151838,1070176003,1070188632,1070229598,1070274893,1070325007,1070371826,1070420333,1070483038,1070525070,1070555659,1070594550,1070637079,1070680460,1070724011,1070790691,1070943043,1071200713,1071239804,1071464238,1071636092,1071703685,1071767895,1071811890,1071860802,1071928103,1072017179,1072118435,1072207681,1072297362,1072393936,1072508115,1072582574,1072632152,1072728392,1072839513,1072917095,1072972614,1073027776,1073056961,1073111353,1073142090,1073196802,1073244304,1073366396,1073503488,1073644967,1073725123,1073807928,1073882319,1073948832,1074028105) and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941270030 updated with thcls [2444]
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009070857,1009221557,1009235001,1009235001,1009235001,1009279343,1009279353,1009280657,1009282609,1009285759,1009285768,1009287135,1009288506,1009288552,1009289513,1009290975,1009291021,1009292130,1009293460,1009293500,1009302645,1009302927,1009314292,1009325389,1009325688,1009331814,1009337445,1009343214,1009348720,1009360419,1009360713,1009366173,1009370142,1009378379,1009378419,1009382213,1009387310,1009387468,1009397625,1009397722,1009407256,1009418250,1009418932,1009427416,1009430104,1009431389,1009433084,1009433141,1009434050,1009434050,1009434050,1009434378,1009434378,1009434378,1009434691,1009434691,1009434691,1009435684,1009436484,1009436970,1009436970,1009436970,1009437040,1009437245,1009438331,1009438587,1009438587,1009438587,1009440275,1009440284,1009440275,1009440275,1009442467,1009442503,1009442534,1009442534,1009442534,1009444072,1009444127,1009444127,1009444127,1009445419,1009445544,1009446899,1009446899,1009446899,1009448272,1009448393,1009448393,1009448393,1009449795,1009449795,1009449795,1009451626,1009451637,1009451747,1009451747,1009451747,1009452467,1009452467,1009452467,1009452958,1009452958,1009452958,1009452982,1009454193,1009454250,1009454340,1009454340,1009454340,1009455528,1009457022,1009457035,1009457225,1009457225,1009457225,1009460747,1009460747,1009460747,1009460964,1009466380,1009466449,1009467104,1009467104,1009467104,1009471964,1009471964,1009471964,1009472265,1009477698,1009478112,1009478112,1009478112,1009481716,1009481716,1009481716,1009482984,1009482984,1009482984,1009487456,1009487651,1009487953,1009487953,1009487953,1009489082,1009489224,1009489311,1009489311,1009489311,1009490312,1009490312,1009490312,1009490482,1009495057,1009495485,1009495485,1009495485,1009498950,1009498950,1009498950,1009500505,1009500505,1009500505,1009500757,1009506261,1009506267,1009506267,1009506281,1009506743,1009506743,1009506743,1009509717,1009510175,1009510175,1009510175,1009511666,1009511666,1009511666,1009517336,1009517538,1009517846,1009517846,1009517846,1009521430,1009521430,1009521430,1009521604,1009525337,1009525351,1009525620,1009525620,1009525620,1009528264,1009529519,1009529519,1009529519,1009533042,1009533049,1009533521,1009533521,1009533521,1009536211,1009536211,1009536211,1009540622,1009540768,1009541041,1009541041,1009541041,1009543631,1009543631,1009543631,1009544882,1009545319,1009545319,1009545319,1009549110,1009549844,1009549844,1009549844,1009551219,1009551219,1009551219,1009552742,1009553917,1009553917,1009553917,1009557767,1009558263,1009558263,1009558263,1009560603,1009560603,1009560603,1009562082,1009562082,1009562082,1009566560,1009567162,1009567162,1009567162,1009570164,1009571295,1009571295,1009571295,1009576214,1009576839,1009576839,1009576839,1009579449,1009579449,1009579449,1009580612,1009580612,1009580612,1009585079,1009585479,1009585479,1009585479,1009587843,1009589125,1009589125,1009589125,1009593905,1009596964,1009597983,1009597983,1009597983,1009602704,1009603249,1009603249,1009603249,1009605648,1009605648,1009605648,1009606588,1009606588,1009606588,1009610542,1009610910,1009610910,1009610910,1009612091,1009612091,1009612091,1009612625,1009612625,1009612625,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1011385243,1011385243,1011385243,1011385243,1011385243,1011385243,1011390788,1011390788,1011390788,1011392772,1011392895,1011392895,1011392895,1011393463,1011393463,1011396352,1011396427,1011396427,1011396427,1011397700,1011397700,1011397700,1011398063,1011398063,1011398063,1011398155,1011398155,1011400470,1011401905,1011401905,1011401905,1011402479,1011402479,1011402479,1011404603,1011404616,1011404616,1011404616,1011404616,1011407129,1011407129,1011407129,1011407129,1011409468,1011409577,1011409577,1011409577,1011410835,1011410835,1011410835,1011411301,1011411301,1011411301,1011411301,1011414737,1011414737,1011414737,1011418572,1011420035,1011420035,1011424343,1011424343,1011424343,1011424343,1011425837,1011425837,1011425837,1011425837,1011434626,1011434626,1011434626,1011434626,1011437951,1011437951,1011437951,1011443267,1011443267,1011443267,1011443267,1011443267,1011443267,1011443267,1011443267,1011443267,1011457571,1011457571,1011457571,1011457571,1011457571,1011462218,1011462218,1011462218,1011462218,1011462218,1011465907,1011465907,1011468680,1011468680,1011468680,1011468680,1011468680,1011477098,1011477098,1011477098,1011480216,1011480216,1011480216,1011480216,1011481813,1011481813,1011484878,1011484878,1011484878,1011488184,1011488184,1011489420,1011489420,1011489971,1011489971,1011490226,1011490226,1011490226,1011491085,1011491085,1011491085,1011493854,1011493854,1011493854,1011493854,1011495475,1011495720,1011495720,1011495808,1011495808,1011496393,1011496393,1011496393,1011502469,1011502469,1011502469,1011502469,1011502469,1011502469,1011502469,1011512017,1011512017,1011512017,1011512017,1011512017,1011512017,1011512017,1011512017,1011520404,1011523792,1011523792,1011523792,1011528769,1011528769,1011528769,1011529096,1011531812,1011534481,1011534481,1011534481,1011538296,1011544981,1011547577,1011548147,1011548163,1011548163,1011548163,1011559618,1011559618,1011559618,1011562158,1011564995,1011566059,1011566196,1011571978,1011571978,1011571978,1011579857,1011585929,1011585929,1011585929,1011588852,1011588852,1011588852,1011589126,1011592719,1011592719,1011592719,1011608667,1011609102,1011609102,1011609102,1011611087,1011611087,1011611087,1011624746,1011624746,1011624746,1011634037,1011634037,1011634037,1011634237,1011640639,1011640639,1011640639,1011644747,1011644747,1011644747,1011645814,1011651419,1011651419,1011651419,1011654365,1011654365,1011654365,1011654531,1011657335,1011657335,1011657335,1011662365,1011662622,1011662622,1011662622,1011663482,1011663482,1011663482,1011668059,1011668059,1011668059,1011670373,1011670373,1011670373,1011670720,1011673653,1011673653,1011673653,1011677586,1011677586,1011677586,1011678717,1011683364,1011685861,1011685861,1011685861,1011686076,1011688986,1011688986,1011688986,1011693935,1011694367,1011694367,1011694367,1011695469,1011695469,1011695469,1011699775,1011699775,1011699775,1011702351,1011702351,1011702351,1011702508,1011705899,1011705899,1011705899,1011709559,1011709559,1011709559,1011710770,1011715541,1011715541,1011715541,1011717333,1011717333,1011717333,1011717622,1011720878,1011720878,1011720878,1011729845,1011730056,1011732062,1011732062,1011732062,1011745380,1011745380,1011745380,1011749569,1011749569,1011749569,1011749861,1011754359,1011754359,1011754359,1011760632,1011760632,1011760632,1011762813,1011771579,1011771579,1011771579,1011775545,1011776023,1011781058,1011781058,1011781058,1011796257,1011796710,1011796710,1011796710,1011799481,1011799481,1011799481,1011809001,1011809001,1011809001,1011814279,1011821497,1011821497,1011821497,1011832264,1011832264,1011832264,1011835741,1011848235,1011848235,1011848235,1011854322,1011854322,1011854322,1011854966,1011864246,1011864246,1011864246,1011898785,1011899410,1011899410,1011899410,1011931976,1011944953,1011965701,1011996120,1012057217,1012102672,1012119518,1012135856,1012160791,1012200248,1012235642,1012274416,1012311637,1012339062,1012349233,1012361135,1012373389,1012384521,1012398138,1012427068,1012513580,1012578259,1012607731,1012648307,1012685281,1012707034,1012743153,1012781185,1012813609,1012833330,1012850055,1012869005,1012888268,1012906669,1012936416,1012962399,1012994408,1013020654,1013050400,1013079707,1013109511,1013134905,1013164469,1013191884,1013222539,1013249569,1013282218,1013324567,1013355530,1013384427,1013419591,1013448994,1013485946,1013512103,1013537853,1013559471,1013586245,1013611681,1013640152,1013670300,1013697353,1013725228,1013753988,1013783572,1013815407,1013840139,1013868396,1013894815,1013925418,1013949394,1013978228,1014004246,1014031969,1014060884,1014089826,1014119981,1014151371,1014181978,1014218099,1014249258,1014284653,1014318638,1014358906,1014399309,1014444630,1014481397,1014495905,1014509025,1014535928,1014563940,1014589265,1014610195,1014629932,1014653255,1014670098,1014686438,1014702097,1014722032,1014741619,1014798043,1014814532,1014852877,1014876918,1014904380,1014932039,1014973929,1014997287,1015026125,1015061974,1015087309,1015113510,1015135852,1015159056,1015185819,1015228379,1015250488,1015271017,1015289450,1015309872,1015328272,1015341936,1015364707,1015387465,1015408731,1015431750,1015447245,1015472221,1015491228,1015505918,1015524801,1015545383,1015569540,1015593871,1015618664,1015640099,1015678515,1015699350,1015725535,1015785030,1015803327,1015824159,1015858645,1015891609,1015922239,1015951183,1015979955,1016008978,1016031641,1016057740,1016079043,1016104694,1016129811,1016151052,1016165407,1016177373,1016191022,1016200472,1016250151,1056228407,1056230992,1056231392,1056270611,1056338908,1056384133,1056391587,1056418910,1056453291,1056513346,1056583093,1056651954,1056690748,1056711160,1056736179,1056748730,1056756880,1056764897,1056772435,1056784481,1056800788,1056808378,1056818149,1056830024,1056830674,1056830948,1056831077,1056831557,1056831855,1056837634,1056856210,1056920476,1056980405,1057041128,1057088057,1057121109,1057151343,1057220556,1057280512,1057341346,1057404844,1057405393,1057407766,1057472510,1057500270,1057540059,1057593126,1057647548,1057687877,1057710265,1057732748,1057755508,1057764774,1057772053,1057778726,1057785414,1057793601,1057801259,1057807129,1057813938,1057816042,1057829286,1057848917,1057892838,1057897019,1057932757,1058003323,1058069207,1058128311,1058168238,1058218998,1058252311,1058301785,1058344218,1058357000,1058360844,1058373425,1058397930,1058419186,1058452270,1058454546,1058497064,1058498206,1058498418,1058498765,1058521789,1058551450,1058552621,1058555677,1058558898,1058563076,1058588013,1058598160,1058621590,1058655000,1058676193,1058707466,1058970477,1059006627,1059046569,1059191651,1059236201,1059303266,1059358502,1059421117,1059465155,1059519820,1059570910,1059621387,1059666507,1059721386,1059764182,1059769188,1059785227,1059879568,1059945488,1060020932,1060078214,1060220736,1060379660,1060464896,1060518323,1060593805,1060658653,1060713777,1060747606,1060788851,1060803885,1060857834,1060887245,1060936297,1060966196,1061000351,1061056459,1061100121,1061192543,1061226354,1061229431,1061238745,1061286706,1061337836,1061360120,1061417200,1061498969,1061555745,1061610192,1061671177,1061719303,1061763997,1061784989,1061817865,1061883307,1061935814,1062011815,1062066024,1062133124,1062316231,1062405207,1062458588,1062503690,1062550078,1062590642,1062648864,1062695432,1062723341,1062756112,1062784494,1062812433,1062854625,1062915395,1062972086,1063010691,1063064215,1063123899,1063221077,1063265473,1063308569,1063509640,1063558458,1063625399,1063754711,1063792624,1063859378,1064104831,1064194324,1064238851,1064271160,1064300598,1064328041,1064355810,1064384228,1064413860,1064442496,1064475866,1064569994,1064629411,1064679940,1064718119,1064843969,1064885497,1064925689,1064980978,1065025220,1065066418,1065122253,1065166128,1065199557,1065231169,1065248305,1065277478,1065295445,1065311551,1065327181,1065338945,1065347319,1065358527,1065423047,1065464747,1065551063,1065640480,1065683380,1065752109,1065853211,1065872621,1065886164,1065906994,1065929861,1065949955,1065970146,1065989088,1066036678,1066082795,1066127201,1066177817,1066234447,1066280972,1066333751,1066370058,1066403950,1066434334,1066459557,1066470978,1066476567,1066483566,1066495992,1066526112,1066576205,1066628890,1066688041,1066748034,1066802947,1066855084,1066901151,1066957298,1067018957,1067077304,1067126796,1067176861,1067220040,1067242688,1067290903,1067350629,1067420133,1067481998,1067541099,1067577644,1067619695,1067661438,1067690194,1067717417,1067747135,1067774115,1067802803,1067861256,1067911434,1067941481,1067982050,1068035448,1068088468,1068111529,1068135671,1068160643,1068189422,1068212316,1068237222,1068269606,1068303917,1068329049,1068346742,1068348694,1068386854,1068425051,1068452881,1068458890,1068468409,1068469248,1068469816,1068470404,1068471261,1068471940,1068474412,1068506229,1068541461,1068570954,1068623508,1068682681,1068719362,1068741812,1068773099,1068806810,1068837181,1068851165,1068855954,1068875462,1068897960,1068917460,1068943958,1068968307,1068982667,1069002723,1069020495,1069057623,1069125047,1069205891,1069239243,1069260809,1069283978,1069310065,1069337749,1069359150,1069378203,1069385926,1069408082,1069454240,1069505573,1069547701,1069590743,1069703349,1069823743,1069863124,1069957907,1069991317,1070012152,1070039926,1070071218,1070086450,1070096253,1070099006,1070109605,1070151839,1070176004,1070188633,1070229599,1070274894,1070325009,1070371827,1070420334,1070483039,1070525071,1070555660,1070594551,1070637080,1070680461,1070724012,1070790692,1070943044,1071200714,1071239805,1071464239,1071636093,1071703686,1071767896,1071811891,1071860803,1071928104,1072017180,1072118436,1072207682,1072297363,1072393937,1072508116,1072582575,1072632153,1072728393,1072839514,1072917096,1072972615,1073027777,1073056962,1073111354,1073142092,1073196803,1073244305,1073366397,1073503489,1073644968,1073725124,1073807929,1073882320,1073948833,1074028106) and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941270028 updated with thcls [2444]
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009070858,1009221558,1009235002,1009235002,1009235002,1009279344,1009279354,1009280658,1009282610,1009285760,1009285769,1009287136,1009288507,1009288553,1009289514,1009290976,1009291022,1009292131,1009293461,1009293501,1009302646,1009302928,1009314293,1009325390,1009325689,1009331815,1009337446,1009343215,1009348721,1009360422,1009360714,1009366174,1009370143,1009378380,1009378420,1009382214,1009387311,1009387469,1009397627,1009397723,1009407257,1009418251,1009418933,1009427417,1009430105,1009431390,1009433085,1009433142,1009434051,1009434051,1009434051,1009434379,1009434379,1009434379,1009434692,1009434692,1009434692,1009435685,1009436485,1009436971,1009436971,1009436971,1009437041,1009437246,1009438332,1009438588,1009438588,1009438588,1009440276,1009440285,1009440276,1009440276,1009442468,1009442504,1009442535,1009442535,1009442535,1009444074,1009444128,1009444128,1009444128,1009445420,1009445545,1009446900,1009446900,1009446900,1009448273,1009448394,1009448394,1009448394,1009449796,1009449796,1009449796,1009451627,1009451638,1009451748,1009451748,1009451748,1009452468,1009452468,1009452468,1009452959,1009452959,1009452959,1009452983,1009454194,1009454251,1009454341,1009454341,1009454341,1009455529,1009457023,1009457036,1009457226,1009457226,1009457226,1009460748,1009460748,1009460748,1009460965,1009466381,1009466450,1009467105,1009467105,1009467105,1009471965,1009471965,1009471965,1009472266,1009477701,1009478114,1009478114,1009478114,1009481717,1009481717,1009481717,1009482985,1009482985,1009482985,1009487457,1009487652,1009487954,1009487954,1009487954,1009489083,1009489225,1009489312,1009489312,1009489312,1009490313,1009490313,1009490313,1009490483,1009495058,1009495486,1009495486,1009495486,1009498951,1009498951,1009498951,1009500506,1009500506,1009500506,1009500759,1009506262,1009506268,1009506268,1009506282,1009506744,1009506744,1009506744,1009509718,1009510176,1009510176,1009510176,1009511667,1009511667,1009511667,1009517337,1009517539,1009517847,1009517847,1009517847,1009521431,1009521431,1009521431,1009521605,1009525338,1009525352,1009525621,1009525621,1009525621,1009528265,1009529520,1009529520,1009529520,1009533044,1009533051,1009533522,1009533522,1009533522,1009536212,1009536212,1009536212,1009540623,1009540769,1009541042,1009541042,1009541042,1009543632,1009543632,1009543632,1009544883,1009545320,1009545320,1009545320,1009549111,1009549845,1009549845,1009549845,1009551220,1009551220,1009551220,1009552743,1009553918,1009553918,1009553918,1009557768,1009558264,1009558264,1009558264,1009560604,1009560604,1009560604,1009562083,1009562083,1009562083,1009566561,1009567163,1009567163,1009567163,1009570165,1009571296,1009571296,1009571296,1009576215,1009576840,1009576840,1009576840,1009579450,1009579450,1009579450,1009580613,1009580613,1009580613,1009585080,1009585480,1009585480,1009585480,1009587844,1009589126,1009589126,1009589126,1009593906,1009596965,1009597984,1009597984,1009597984,1009602705,1009603250,1009603250,1009603250,1009605649,1009605649,1009605649,1009606589,1009606589,1009606589,1009610543,1009610911,1009610911,1009610911,1009612092,1009612092,1009612092,1009612626,1009612626,1009612626,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1011385244,1011385244,1011385244,1011385244,1011385244,1011385244,1011390789,1011390789,1011390789,1011392773,1011392896,1011392896,1011392896,1011393465,1011393465,1011396353,1011396428,1011396428,1011396428,1011397701,1011397701,1011397701,1011398064,1011398064,1011398064,1011398156,1011398156,1011400471,1011401907,1011401907,1011401907,1011402480,1011402480,1011402480,1011404604,1011404617,1011404617,1011404617,1011404617,1011407130,1011407130,1011407130,1011407130,1011409469,1011409578,1011409578,1011409578,1011410836,1011410836,1011410836,1011411302,1011411302,1011411302,1011411302,1011414738,1011414738,1011414738,1011418573,1011420036,1011420036,1011424344,1011424344,1011424344,1011424344,1011425838,1011425838,1011425838,1011425838,1011434627,1011434627,1011434627,1011434627,1011437952,1011437952,1011437952,1011443268,1011443268,1011443268,1011443268,1011443268,1011443268,1011443268,1011443268,1011443268,1011457572,1011457572,1011457572,1011457572,1011457572,1011462219,1011462219,1011462219,1011462219,1011462219,1011465908,1011465908,1011468681,1011468681,1011468681,1011468681,1011468681,1011477099,1011477099,1011477099,1011480217,1011480217,1011480217,1011480217,1011481814,1011481814,1011484879,1011484879,1011484879,1011488185,1011488185,1011489421,1011489421,1011489972,1011489972,1011490227,1011490227,1011490227,1011491086,1011491086,1011491086,1011493855,1011493855,1011493855,1011493855,1011495476,1011495721,1011495721,1011495809,1011495809,1011496394,1011496394,1011496394,1011502470,1011502470,1011502470,1011502470,1011502470,1011502470,1011502470,1011512018,1011512018,1011512018,1011512018,1011512018,1011512018,1011512018,1011512018,1011520405,1011523793,1011523793,1011523793,1011528770,1011528770,1011528770,1011529097,1011531813,1011534482,1011534482,1011534482,1011538297,1011544982,1011547578,1011548148,1011548165,1011548165,1011548165,1011559619,1011559619,1011559619,1011562159,1011564996,1011566060,1011566197,1011571979,1011571979,1011571979,1011579858,1011585930,1011585930,1011585930,1011588853,1011588853,1011588853,1011589127,1011592720,1011592720,1011592720,1011608668,1011609103,1011609103,1011609103,1011611088,1011611088,1011611088,1011624747,1011624747,1011624747,1011634038,1011634038,1011634038,1011634238,1011640640,1011640640,1011640640,1011644748,1011644748,1011644748,1011645815,1011651420,1011651420,1011651420,1011654366,1011654366,1011654366,1011654532,1011657336,1011657336,1011657336,1011662366,1011662623,1011662623,1011662623,1011663483,1011663483,1011663483,1011668060,1011668060,1011668060,1011670374,1011670374,1011670374,1011670721,1011673654,1011673654,1011673654,1011677587,1011677587,1011677587,1011678718,1011683365,1011685862,1011685862,1011685862,1011686077,1011688987,1011688987,1011688987,1011693936,1011694368,1011694368,1011694368,1011695470,1011695470,1011695470,1011699776,1011699776,1011699776,1011702352,1011702352,1011702352,1011702509,1011705900,1011705900,1011705900,1011709560,1011709560,1011709560,1011710771,1011715542,1011715542,1011715542,1011717334,1011717334,1011717334,1011717623,1011720879,1011720879,1011720879,1011729846,1011730057,1011732063,1011732063,1011732063,1011745381,1011745381,1011745381,1011749570,1011749570,1011749570,1011749862,1011754360,1011754360,1011754360,1011760633,1011760633,1011760633,1011762814,1011771580,1011771580,1011771580,1011775546,1011776024,1011781059,1011781059,1011781059,1011796258,1011796712,1011796712,1011796712,1011799482,1011799482,1011799482,1011809002,1011809002,1011809002,1011814280,1011821498,1011821498,1011821498,1011832265,1011832265,1011832265,1011835742,1011848236,1011848236,1011848236,1011854323,1011854323,1011854323,1011854967,1011864247,1011864247,1011864247,1011898786,1011899411,1011899411,1011899411,1011931977,1011944954,1011965702,1011996121,1012057219,1012102673,1012119519,1012135857,1012160792,1012200249,1012235643,1012274417,1012311638,1012339063,1012349234,1012361136,1012373390,1012384522,1012398139,1012427069,1012513581,1012578260,1012607732,1012648308,1012685282,1012707035,1012743154,1012781186,1012813610,1012833331,1012850056,1012869006,1012888270,1012906670,1012936417,1012962400,1012994409,1013020655,1013050401,1013079708,1013109512,1013134906,1013164470,1013191885,1013222540,1013249570,1013282219,1013324568,1013355531,1013384428,1013419592,1013448995,1013485947,1013512105,1013537854,1013559472,1013586246,1013611682,1013640153,1013670301,1013697354,1013725229,1013753989,1013783573,1013815408,1013840140,1013868397,1013894816,1013925419,1013949395,1013978229,1014004247,1014031970,1014060885,1014089827,1014119982,1014151372,1014181979,1014218100,1014249259,1014284654,1014318639,1014358907,1014399310,1014444631,1014481398,1014495906,1014509026,1014535929,1014563941,1014589266,1014610196,1014629933,1014653256,1014670099,1014686439,1014702098,1014722033,1014741620,1014798044,1014814533,1014852878,1014876919,1014904381,1014932040,1014973930,1014997289,1015026126,1015061975,1015087310,1015113511,1015135853,1015159057,1015185820,1015228380,1015250489,1015271018,1015289451,1015309873,1015328273,1015341938,1015364708,1015387466,1015408732,1015431751,1015447246,1015472222,1015491229,1015505919,1015524802,1015545384,1015569541,1015593872,1015618666,1015640100,1015678516,1015699351,1015725536,1015785031,1015803328,1015824160,1015858646,1015891610,1015922240,1015951184,1015979956,1016008979,1016031642,1016057741,1016079044,1016104695,1016129812,1016151053,1016165408,1016177374,1016191023,1016200473,1016250152,1056228408,1056230993,1056231393,1056270612,1056338909,1056384134,1056391588,1056418911,1056453292,1056513347,1056583094,1056651955,1056690749,1056711161,1056736180,1056748731,1056756881,1056764898,1056772436,1056784482,1056800789,1056808379,1056818150,1056830025,1056830675,1056830949,1056831078,1056831558,1056831856,1056837635,1056856211,1056920477,1056980406,1057041129,1057088058,1057121110,1057151344,1057220557,1057280513,1057341347,1057404845,1057405394,1057407767,1057472512,1057500271,1057540060,1057593130,1057647549,1057687878,1057710266,1057732749,1057755509,1057764775,1057772055,1057778727,1057785415,1057793602,1057801260,1057807130,1057813939,1057816043,1057829287,1057848918,1057892839,1057897020,1057932758,1058003324,1058069208,1058128312,1058168239,1058218999,1058252313,1058301786,1058344219,1058357001,1058360845,1058373426,1058397931,1058419187,1058452271,1058454547,1058497065,1058498207,1058498419,1058498766,1058521790,1058551451,1058552622,1058555678,1058558899,1058563077,1058588014,1058598161,1058621591,1058655001,1058676194,1058707467,1058970478,1059006628,1059046570,1059191652,1059236202,1059303267,1059358503,1059421118,1059465156,1059519821,1059570911,1059621388,1059666508,1059721387,1059764183,1059769189,1059785228,1059879569,1059945489,1060020933,1060078215,1060220737,1060379661,1060464897,1060518324,1060593806,1060658654,1060713778,1060747607,1060788852,1060803886,1060857835,1060887246,1060936298,1060966197,1061000353,1061056460,1061100122,1061192544,1061226355,1061229432,1061238746,1061286707,1061337837,1061360121,1061417201,1061498970,1061555746,1061610193,1061671178,1061719304,1061763998,1061784990,1061817866,1061883308,1061935815,1062011816,1062066025,1062133125,1062316232,1062405208,1062458589,1062503691,1062550079,1062590643,1062648865,1062695433,1062723342,1062756113,1062784495,1062812434,1062854626,1062915396,1062972087,1063010692,1063064216,1063123900,1063221079,1063265474,1063308570,1063509641,1063558459,1063625400,1063754712,1063792625,1063859379,1064104832,1064194325,1064238852,1064271161,1064300599,1064328042,1064355811,1064384229,1064413861,1064442497,1064475868,1064569996,1064629412,1064679941,1064718120,1064843970,1064885498,1064925690,1064980979,1065025221,1065066419,1065122254,1065166129,1065199558,1065231170,1065248306,1065277479,1065295446,1065311552,1065327182,1065338946,1065347320,1065358528,1065423048,1065464748,1065551064,1065640481,1065683381,1065752112,1065853212,1065872622,1065886165,1065906995,1065929862,1065949956,1065970147,1065989089,1066036679,1066082796,1066127202,1066177819,1066234448,1066280973,1066333752,1066370059,1066403951,1066434335,1066459558,1066470979,1066476568,1066483567,1066495993,1066526113,1066576206,1066628891,1066688042,1066748035,1066802948,1066855085,1066901152,1066957299,1067018958,1067077305,1067126797,1067176862,1067220041,1067242689,1067290904,1067350630,1067420134,1067481999,1067541100,1067577645,1067619696,1067661439,1067690195,1067717418,1067747136,1067774116,1067802804,1067861258,1067911435,1067941482,1067982051,1068035449,1068088469,1068111530,1068135672,1068160644,1068189423,1068212317,1068237223,1068269607,1068303918,1068329050,1068346743,1068348695,1068386855,1068425052,1068452882,1068458891,1068468410,1068469249,1068469817,1068470405,1068471262,1068471941,1068474413,1068506230,1068541462,1068570955,1068623509,1068682682,1068719363,1068741813,1068773100,1068806811,1068837182,1068851166,1068855955,1068875463,1068897961,1068917461,1068943959,1068968308,1068982668,1069002724,1069020496,1069057624,1069125048,1069205892,1069239244,1069260810,1069283979,1069310066,1069337750,1069359151,1069378204,1069385927,1069408083,1069454241,1069505574,1069547702,1069590744,1069703351,1069823744,1069863125,1069957908,1069991318,1070012153,1070039927,1070071219,1070086451,1070096254,1070099007,1070109606,1070151840,1070176005,1070188634,1070229600,1070274895,1070325011,1070371828,1070420335,1070483040,1070525072,1070555661,1070594552,1070637081,1070680462,1070724013,1070790693,1070943045,1071200715,1071239806,1071464240,1071636094,1071703687,1071767897,1071811892,1071860804,1071928105,1072017181,1072118437,1072207683,1072297364,1072393938,1072508117,1072582576,1072632154,1072728394,1072839515,1072917097,1072972616,1073027778,1073056963,1073111355,1073142093,1073196804,1073244307,1073366398,1073503490,1073644969,1073725125,1073807930,1073882321,1073948834,1074028107) and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941270027 updated with thcls [2444]
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009070859,1009221559,1009235003,1009235003,1009235003,1009279345,1009279355,1009280659,1009282611,1009285761,1009285770,1009287137,1009288508,1009288554,1009289515,1009290977,1009291023,1009292132,1009293462,1009293502,1009302647,1009302929,1009314294,1009325391,1009325690,1009331816,1009337447,1009343216,1009348722,1009360424,1009360715,1009366175,1009370144,1009378381,1009378421,1009382215,1009387312,1009387470,1009397629,1009397724,1009407258,1009418252,1009418934,1009427418,1009430106,1009431391,1009433086,1009433143,1009434052,1009434052,1009434052,1009434380,1009434380,1009434380,1009434693,1009434693,1009434693,1009435686,1009436486,1009436972,1009436972,1009436972,1009437042,1009437247,1009438333,1009438589,1009438589,1009438589,1009440277,1009440286,1009440277,1009440277,1009442469,1009442505,1009442536,1009442536,1009442536,1009444075,1009444129,1009444129,1009444129,1009445421,1009445547,1009446901,1009446901,1009446901,1009448274,1009448395,1009448395,1009448395,1009449797,1009449797,1009449797,1009451628,1009451639,1009451749,1009451749,1009451749,1009452469,1009452469,1009452469,1009452960,1009452960,1009452960,1009452984,1009454195,1009454252,1009454342,1009454342,1009454342,1009455530,1009457024,1009457037,1009457227,1009457227,1009457227,1009460749,1009460749,1009460749,1009460966,1009466382,1009466451,1009467106,1009467106,1009467106,1009471966,1009471966,1009471966,1009472267,1009477703,1009478116,1009478116,1009478116,1009481718,1009481718,1009481718,1009482986,1009482986,1009482986,1009487458,1009487653,1009487955,1009487955,1009487955,1009489084,1009489226,1009489313,1009489313,1009489313,1009490314,1009490314,1009490314,1009490484,1009495059,1009495487,1009495487,1009495487,1009498952,1009498952,1009498952,1009500507,1009500507,1009500507,1009500761,1009506263,1009506269,1009506269,1009506283,1009506745,1009506745,1009506745,1009509719,1009510177,1009510177,1009510177,1009511668,1009511668,1009511668,1009517338,1009517540,1009517848,1009517848,1009517848,1009521432,1009521432,1009521432,1009521606,1009525339,1009525353,1009525622,1009525622,1009525622,1009528266,1009529521,1009529521,1009529521,1009533046,1009533053,1009533523,1009533523,1009533523,1009536213,1009536213,1009536213,1009540624,1009540770,1009541043,1009541043,1009541043,1009543633,1009543633,1009543633,1009544884,1009545321,1009545321,1009545321,1009549112,1009549846,1009549846,1009549846,1009551221,1009551221,1009551221,1009552744,1009553919,1009553919,1009553919,1009557769,1009558265,1009558265,1009558265,1009560605,1009560605,1009560605,1009562084,1009562084,1009562084,1009566562,1009567164,1009567164,1009567164,1009570166,1009571297,1009571297,1009571297,1009576216,1009576841,1009576841,1009576841,1009579451,1009579451,1009579451,1009580614,1009580614,1009580614,1009585081,1009585481,1009585481,1009585481,1009587845,1009589127,1009589127,1009589127,1009593907,1009596966,1009597985,1009597985,1009597985,1009602706,1009603251,1009603251,1009603251,1009605650,1009605650,1009605650,1009606590,1009606590,1009606590,1009610544,1009610912,1009610912,1009610912,1009612093,1009612093,1009612093,1009612627,1009612627,1009612627,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1011385245,1011385245,1011385245,1011385245,1011385245,1011385245,1011390790,1011390790,1011390790,1011392774,1011392897,1011392897,1011392897,1011393467,1011393467,1011396354,1011396429,1011396429,1011396429,1011397702,1011397702,1011397702,1011398065,1011398065,1011398065,1011398157,1011398157,1011400472,1011401909,1011401909,1011401909,1011402481,1011402481,1011402481,1011404605,1011404618,1011404618,1011404618,1011404618,1011407131,1011407131,1011407131,1011407131,1011409470,1011409579,1011409579,1011409579,1011410837,1011410837,1011410837,1011411303,1011411303,1011411303,1011411303,1011414739,1011414739,1011414739,1011418574,1011420037,1011420037,1011424345,1011424345,1011424345,1011424345,1011425839,1011425839,1011425839,1011425839,1011434628,1011434628,1011434628,1011434628,1011437953,1011437953,1011437953,1011443269,1011443269,1011443269,1011443269,1011443269,1011443269,1011443269,1011443269,1011443269,1011457573,1011457573,1011457573,1011457573,1011457573,1011462220,1011462220,1011462220,1011462220,1011462220,1011465909,1011465909,1011468682,1011468682,1011468682,1011468682,1011468682,1011477100,1011477100,1011477100,1011480218,1011480218,1011480218,1011480218,1011481815,1011481815,1011484880,1011484880,1011484880,1011488186,1011488186,1011489422,1011489422,1011489973,1011489973,1011490228,1011490228,1011490228,1011491087,1011491087,1011491087,1011493856,1011493856,1011493856,1011493856,1011495477,1011495722,1011495722,1011495810,1011495810,1011496395,1011496395,1011496395,1011502471,1011502471,1011502471,1011502471,1011502471,1011502471,1011502471,1011512019,1011512019,1011512019,1011512019,1011512019,1011512019,1011512019,1011512019,1011520406,1011523794,1011523794,1011523794,1011528771,1011528771,1011528771,1011529098,1011531814,1011534483,1011534483,1011534483,1011538298,1011544983,1011547579,1011548149,1011548166,1011548166,1011548166,1011559620,1011559620,1011559620,1011562160,1011564997,1011566061,1011566198,1011571980,1011571980,1011571980,1011579859,1011585931,1011585931,1011585931,1011588854,1011588854,1011588854,1011589128,1011592721,1011592721,1011592721,1011608669,1011609104,1011609104,1011609104,1011611089,1011611089,1011611089,1011624748,1011624748,1011624748,1011634039,1011634039,1011634039,1011634239,1011640641,1011640641,1011640641,1011644749,1011644749,1011644749,1011645816,1011651421,1011651421,1011651421,1011654367,1011654367,1011654367,1011654533,1011657337,1011657337,1011657337,1011662367,1011662624,1011662624,1011662624,1011663484,1011663484,1011663484,1011668061,1011668061,1011668061,1011670375,1011670375,1011670375,1011670722,1011673655,1011673655,1011673655,1011677588,1011677588,1011677588,1011678719,1011683366,1011685863,1011685863,1011685863,1011686078,1011688988,1011688988,1011688988,1011693937,1011694369,1011694369,1011694369,1011695471,1011695471,1011695471,1011699777,1011699777,1011699777,1011702353,1011702353,1011702353,1011702510,1011705901,1011705901,1011705901,1011709561,1011709561,1011709561,1011710772,1011715543,1011715543,1011715543,1011717335,1011717335,1011717335,1011717624,1011720880,1011720880,1011720880,1011729847,1011730058,1011732064,1011732064,1011732064,1011745382,1011745382,1011745382,1011749571,1011749571,1011749571,1011749863,1011754361,1011754361,1011754361,1011760634,1011760634,1011760634,1011762815,1011771581,1011771581,1011771581,1011775547,1011776025,1011781060,1011781060,1011781060,1011796259,1011796714,1011796714,1011796714,1011799483,1011799483,1011799483,1011809003,1011809003,1011809003,1011814281,1011821499,1011821499,1011821499,1011832266,1011832266,1011832266,1011835743,1011848237,1011848237,1011848237,1011854324,1011854324,1011854324,1011854968,1011864248,1011864248,1011864248,1011898787,1011899412,1011899412,1011899412,1011931978,1011944955,1011965703,1011996122,1012057221,1012102674,1012119520,1012135859,1012160793,1012200250,1012235644,1012274418,1012311639,1012339064,1012349235,1012361137,1012373391,1012384523,1012398140,1012427070,1012513582,1012578261,1012607733,1012648309,1012685283,1012707036,1012743155,1012781187,1012813611,1012833332,1012850057,1012869007,1012888272,1012906671,1012936418,1012962401,1012994410,1013020656,1013050402,1013079709,1013109513,1013134907,1013164471,1013191886,1013222541,1013249571,1013282220,1013324569,1013355532,1013384429,1013419593,1013448996,1013485948,1013512107,1013537855,1013559473,1013586247,1013611683,1013640154,1013670302,1013697355,1013725230,1013753990,1013783574,1013815409,1013840141,1013868398,1013894817,1013925420,1013949396,1013978230,1014004248,1014031971,1014060886,1014089828,1014119983,1014151374,1014181980,1014218101,1014249260,1014284655,1014318640,1014358908,1014399311,1014444632,1014481399,1014495907,1014509027,1014535930,1014563942,1014589267,1014610197,1014629934,1014653257,1014670100,1014686440,1014702099,1014722034,1014741621,1014798045,1014814534,1014852879,1014876920,1014904382,1014932041,1014973931,1014997290,1015026127,1015061976,1015087311,1015113512,1015135854,1015159058,1015185821,1015228381,1015250490,1015271019,1015289452,1015309874,1015328274,1015341940,1015364709,1015387467,1015408733,1015431752,1015447247,1015472223,1015491230,1015505920,1015524803,1015545385,1015569542,1015593873,1015618668,1015640101,1015678517,1015699352,1015725537,1015785032,1015803329,1015824161,1015858647,1015891611,1015922241,1015951185,1015979957,1016008980,1016031643,1016057742,1016079045,1016104696,1016129813,1016151054,1016165409,1016177375,1016191024,1016200474,1016250153,1056228409,1056230994,1056231395,1056270613,1056338910,1056384135,1056391589,1056418912,1056453293,1056513348,1056583095,1056651956,1056690750,1056711162,1056736181,1056748732,1056756882,1056764899,1056772437,1056784483,1056800790,1056808380,1056818151,1056830026,1056830676,1056830950,1056831079,1056831559,1056831857,1056837636,1056856212,1056920478,1056980407,1057041130,1057088059,1057121111,1057151345,1057220558,1057280514,1057341348,1057404846,1057405395,1057407768,1057472514,1057500272,1057540061,1057593131,1057647550,1057687879,1057710267,1057732750,1057755510,1057764776,1057772056,1057778728,1057785416,1057793603,1057801261,1057807131,1057813940,1057816044,1057829288,1057848919,1057892840,1057897021,1057932759,1058003325,1058069209,1058128313,1058168240,1058219000,1058252316,1058301787,1058344220,1058357002,1058360846,1058373427,1058397932,1058419188,1058452272,1058454548,1058497066,1058498208,1058498420,1058498767,1058521791,1058551452,1058552623,1058555679,1058558900,1058563078,1058588015,1058598162,1058621592,1058655002,1058676195,1058707468,1058970479,1059006629,1059046571,1059191653,1059236204,1059303268,1059358504,1059421119,1059465157,1059519822,1059570912,1059621389,1059666509,1059721388,1059764184,1059769190,1059785229,1059879570,1059945490,1060020934,1060078216,1060220738,1060379662,1060464898,1060518325,1060593807,1060658655,1060713779,1060747608,1060788853,1060803887,1060857836,1060887247,1060936299,1060966198,1061000354,1061056461,1061100123,1061192545,1061226356,1061229433,1061238747,1061286708,1061337838,1061360122,1061417202,1061498971,1061555747,1061610194,1061671179,1061719305,1061763999,1061784991,1061817867,1061883309,1061935816,1062011817,1062066026,1062133126,1062316233,1062405209,1062458590,1062503692,1062550081,1062590644,1062648866,1062695434,1062723343,1062756114,1062784496,1062812435,1062854627,1062915397,1062972088,1063010693,1063064217,1063123901,1063221080,1063265475,1063308571,1063509642,1063558460,1063625401,1063754713,1063792626,1063859380,1064104833,1064194326,1064238853,1064271162,1064300600,1064328043,1064355812,1064384230,1064413862,1064442498,1064475869,1064569997,1064629413,1064679942,1064718121,1064843971,1064885499,1064925691,1064980980,1065025222,1065066420,1065122255,1065166130,1065199559,1065231171,1065248307,1065277480,1065295447,1065311553,1065327183,1065338948,1065347321,1065358529,1065423049,1065464749,1065551065,1065640482,1065683382,1065752113,1065853213,1065872623,1065886166,1065906996,1065929863,1065949957,1065970148,1065989090,1066036680,1066082797,1066127203,1066177820,1066234449,1066280974,1066333753,1066370060,1066403952,1066434336,1066459559,1066470980,1066476569,1066483568,1066495994,1066526114,1066576207,1066628892,1066688043,1066748036,1066802949,1066855086,1066901153,1066957300,1067018959,1067077306,1067126798,1067176863,1067220042,1067242690,1067290905,1067350631,1067420135,1067482000,1067541101,1067577646,1067619697,1067661440,1067690196,1067717419,1067747137,1067774117,1067802805,1067861260,1067911436,1067941483,1067982052,1068035450,1068088470,1068111531,1068135673,1068160645,1068189424,1068212318,1068237224,1068269608,1068303919,1068329051,1068346744,1068348696,1068386856,1068425053,1068452883,1068458892,1068468411,1068469250,1068469818,1068470406,1068471263,1068471942,1068474414,1068506231,1068541463,1068570956,1068623510,1068682683,1068719364,1068741814,1068773101,1068806812,1068837183,1068851167,1068855956,1068875464,1068897962,1068917462,1068943960,1068968309,1068982669,1069002725,1069020497,1069057625,1069125049,1069205893,1069239245,1069260811,1069283980,1069310067,1069337751,1069359152,1069378205,1069385928,1069408084,1069454243,1069505575,1069547703,1069590745,1069703352,1069823745,1069863126,1069957909,1069991319,1070012154,1070039928,1070071220,1070086452,1070096255,1070099008,1070109607,1070151841,1070176006,1070188635,1070229601,1070274896,1070325013,1070371829,1070420336,1070483041,1070525073,1070555662,1070594553,1070637082,1070680463,1070724014,1070790694,1070943046,1071200716,1071239807,1071464241,1071636095,1071703688,1071767898,1071811893,1071860805,1071928106,1072017182,1072118439,1072207684,1072297365,1072393939,1072508118,1072582577,1072632155,1072728395,1072839516,1072917098,1072972617,1073027779,1073056964,1073111356,1073142094,1073196805,1073244308,1073366399,1073503491,1073644970,1073725126,1073807931,1073882322,1073948835,1074028108) and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941270026 updated with thcls [2444]
chi 1941270032 saved with no changes
chi 1941270031 saved with no changes
chi 1941270035 saved with no changes
chi 1941270037 saved with no changes
chi 1941270041 saved with no changes
chi 1941270012 saved with no changes
chi 1941270013 saved with no changes
chi 1941607380 saved with no changes
chi 1941607381 saved with no changes
chi 2202875936 saved with no changes
chi 1941270008 saved with no changes
chi 1941270016 saved with no changes
chi 1941607382 saved with no changes
chi 1941270034 saved with no changes
chi 2202875937 saved with no changes
chi 1941270010 saved with no changes
chi 1941270005 saved with no changes
chi 1941270007 saved with no changes
chi 1941270024 saved with no changes
chi 1941270011 saved with no changes
chi 2202875938 saved with no changes
chi 1941270023 saved with no changes
chi 1941607379 saved with no changes
chi 1941270006 saved with no changes
chi 1941270009 saved with no changes
76 crops to save
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 76 chid ids of type : 2913
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1009068683,1009068724) and `type` in (2913) 
Loaded 76 chid ids of type : 2913
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2099910103,2099910104,2099910105,2099910106,2099910107,2099910108,2099910109,2099910110,2099910111,2099910112,2099910113,2099910114,2099910115,2099910116,2099910117,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910135,2099910136,2099910137,2099910138,2099910139,2099910140,2099910141,2099910142,2099910143,2099910144,2099910145,2099910146,2099910147,2099910148,2099910149,2099910150,2099910151,2099910152,2099910153,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2099910103,2099910104,2099910105,2099910106,2099910107,2099910108,2099910109,2099910110,2099910111,2099910112,2099910113,2099910114,2099910115,2099910116,2099910117,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910135,2099910136,2099910137,2099910138,2099910139,2099910140,2099910141,2099910142,2099910143,2099910144,2099910145,2099910146,2099910147,2099910148,2099910149,2099910150,2099910151,2099910152,2099910153,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2099910103,2099910104,2099910105,2099910106,2099910107,2099910108,2099910109,2099910110,2099910111,2099910112,2099910113,2099910114,2099910115,2099910116,2099910117,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910135,2099910136,2099910137,2099910138,2099910139,2099910140,2099910141,2099910142,2099910143,2099910144,2099910145,2099910146,2099910147,2099910148,2099910149,2099910150,2099910151,2099910152,2099910153,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(2099910116, 1056231396, 0), (2099910117, 1056231397, 0), (2099910150, 1056231391, 0), (2099910151, 1056231392, 0), (2099910152, 1056231393, 0), (2099910153, 1056231395, 0)]
End of step merge_mask_thcl_custom

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.4459218978881836
time spend to save output : 8.487701416015625e-05
total time spend for step 1 : 1.4460067749023438

step2:rle_unique_nms_with_priority
Sun Feb  2 03:45:52 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ['temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg
on traite la photo : temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1009068683,1009068724) and `type` in (2913) and hashtag_id in (2107755846,492636447,492645504,681467679) 
Loaded 43 chid ids of type : 2913
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2099910116,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
+++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2099910116,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2099910116,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 3.045588493347168
create new chi : 3.5762786865234375e-05
 proportion hashtag : pet_clair 0.5317132844650205
 proportion hashtag : contaminant 0.002766525205761317
time to delete rle : 0.0315706729888916
save time : 1.4543533325195312e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.887451410293579
create new chi : 4.839897155761719e-05
 proportion hashtag : pet_clair 0.5582751414609054
time to delete rle : 0.015286684036254883
save time : 1.9311904907226562e-05
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 6.15497088432312
time spend to save output : 0.0003066062927246094
total time spend for step 2 : 6.155277490615845

step3:ventilate_hashtags_in_portfolio
Sun Feb  2 03:45:58 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 3373196
get user id for portfolio 3373196
get sub ptf for main ptf 3373196, type 2913 and hashtags []
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3373196 AND  mptpi.`type`=2913 AND  mptpi.`min_score`=0.7
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3373196 AND  mptpi.`type`=2913 AND  mptpi.`min_score`=0.7
To do
returned map {'bouchon': {'main_port_id': 3373196, 'sub_port_id': 3373210, 'hashtag': 'bouchon', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 408, 'last_updated_at': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'contaminant': {'main_port_id': 3373196, 'sub_port_id': 3373211, 'hashtag': 'contaminant', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 409, 'last_updated_at': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'environement': {'main_port_id': 3373196, 'sub_port_id': 3373212, 'hashtag': 'environement', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 410, 'last_updated_at': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'etiquette': {'main_port_id': 3373196, 'sub_port_id': 3373213, 'hashtag': 'etiquette', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 411, 'last_updated_at': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'mal_croppe': {'main_port_id': 3373196, 'sub_port_id': 3373214, 'hashtag': 'mal_croppe', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 412, 'last_updated_at': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'multiple_objets': {'main_port_id': 3373196, 'sub_port_id': 3373215, 'hashtag': 'multiple_objets', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 413, 'last_updated_at': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'pet_clair': {'main_port_id': 3373196, 'sub_port_id': 3373216, 'hashtag': 'pet_clair', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 414, 'last_updated_at': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 2, 51, 17), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373210 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='bouchon'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373211 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='contaminant'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373212 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373213 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='etiquette'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373214 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373215 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='multiple_objets'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373216 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.4899106025695801
time spend to save output : 0.00011396408081054688
total time spend for step 3 : 0.4900245666503906

step4:final
Sun Feb  2 03:45:58 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
complete output_args for input 2 : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)}
 input_args_next_step : {1009068683: ()}
 output_args : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)}
 args : 1009068683
 depend.output_id : 0
 input_args_next_step : {1009068683: (0.002588053987919006,), 1009068724: ()}
 output_args : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)}
 args : 1009068724
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : (0.002588053987919006,)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1738464350_2241491_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1738464350_2241491_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step final !
 query to retrieve results for portfolio 3373196 : SELECT photo_id, hashtag_id, ratio from MTRPhoto.photo_carac_ratio where hashtag_type = 2914  and photo_id in (1009068683,1009068724);
Catched exception !
Connect or reconnect !
insert ignore into MTRUser.portfolio_carac_ratio (portfolio_id, hashtag_type, hashtag_id, value) values (%s,%s,%s,%s) on DUPLICATE KEY UPDATE value=VALUES(value)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.2596616744995117
time spend to save output : 0.00010943412780761719
total time spend for step 4 : 0.25977110862731934

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
original output for save of step final : {1009068683: ('0.0025316977085267163',), 1009068724: ('0.0025316977085267163',)}
new output for save of step final : {1009068683: ('0.0025316977085267163',), 1009068724: ('0.0025316977085267163',)}
[1009068683, 1009068724]
 map_info['map_portfolio_photo'] : {3373196: [1009068724, 1009068683]}
 final :  True mtd_id 2719 list_pids : [1009068683, 1009068724]
Looping around the photos to save general results
len do output : 2
/1009068683.Didn't retrieve data
.
/1009068724.Didn't retrieve data
.
before output type
Used above
Used above
Managing all output in save final without adding information in the mtr_datou_result 
('2719', None, None, None, None, None, None, None, None)
('2719', '3373196', '1009068683', None, None, None, None, None, None)
('2719', None, None, None, None, None, None, None, None)
('2719', '3373196', '1009068724', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('2719', '3373196', '1009068683', '0.0025316977085267163', None, None, None, None, None), ('2719', '3373196', '1009068724', '0.0025316977085267163', None, None, None, None, None)]
time used for this insertion : 0.0198516845703125
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 4
 output : {1009068683: ('0.0025316977085267163',), 1009068724: ('0.0025316977085267163',)}
{1009068683: ('0.0025316977085267163',), 1009068724: ('0.0025316977085267163',)}

############################### TEST rubbia_carac_jrm_no_mask_detect  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3164

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3164
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3164
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3164
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Step 7557 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 7556 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 7561 merge_mask_and_thcl is not consistent : 3 used against 1 in the step definition !
WARNING : number of inputs for step 7558 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7560 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7559 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7560 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7559 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7556 have datatype=6 whereas input 0 of step 7561 have datatype=20
WARNING : type of output 1 of step 7561 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7558 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7561 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7560 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : crop_condition, thcl, argmax, merge_mask_and_thcl, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3364276) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3364276)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1008922130, 'portfolio_id': 3364276}, {'photo_id': 1008922101, 'portfolio_id': 3364276}, {'photo_id': 1008922097, 'portfolio_id': 3364276}, {'photo_id': 1008922095, 'portfolio_id': 3364276}, {'photo_id': 1008922073, 'portfolio_id': 3364276}, {'photo_id': 1008922072, 'portfolio_id': 3364276}, {'photo_id': 1008922003, 'portfolio_id': 3364276}, {'photo_id': 1008922002, 'portfolio_id': 3364276}, {'photo_id': 1008921786, 'portfolio_id': 3364276}, {'photo_id': 1008921657, 'portfolio_id': 3364276}, {'photo_id': 1008921656, 'portfolio_id': 3364276}, {'photo_id': 1008921602, 'portfolio_id': 3364276}, {'photo_id': 1008921601, 'portfolio_id': 3364276}, {'photo_id': 1008921600, 'portfolio_id': 3364276}]
 map_portfolio_id_photo_id: {3364276: [1008922130, 1008922101, 1008922097, 1008922095, 1008922073, 1008922072, 1008922003, 1008922002, 1008921786, 1008921657, 1008921656, 1008921602, 1008921601, 1008921600]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1008922130
begin to download photo : 1008922095
begin to download photo : 1008922003
begin to download photo : 1008921657
begin to download photo : 1008921601
download finish for photo 1008921657
begin to download photo : 1008921656
download finish for photo 1008922095
begin to download photo : 1008922073
download finish for photo 1008922003
begin to download photo : 1008922002
download finish for photo 1008921601
begin to download photo : 1008921600
download finish for photo 1008922130
begin to download photo : 1008922101
download finish for photo 1008922073
begin to download photo : 1008922072
download finish for photo 1008921656
begin to download photo : 1008921602
download finish for photo 1008922002
begin to download photo : 1008921786
download finish for photo 1008922101
begin to download photo : 1008922097
download finish for photo 1008921600
download finish for photo 1008921602
download finish for photo 1008922072
download finish for photo 1008921786
download finish for photo 1008922097
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 14 ; length of list_pids : 14 ; length of list_args : 14
##### After load_data_input 
time to download the photos : 1.1274142265319824
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  7
step1:crop_condition
Sun Feb  2 03:46:00 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
param_json : {'upload_type': 'python', 'photo_hashtag_type': 3336, 'token': '7c6bc181426bc5913186d8428a0fbc15', 'feed_id_new_photos': 3364311, 'crop_type': 'rle_png_transparent', 'host': 'www.fotonower.com', 'filter': {'teint_dans_la_masse': {'min_score': 0.7}, 'autre_refus': {'min_score': 0.7}, 'carton_gris': {'min_score': 0.7}, 'cartonnette': {'min_score': 0.7}, 'carton_brun': {'min_score': 0.7}, 'plastique': {'min_score': 0.7}, 'kraft': {'min_score': 0.7}, 'metal': {'min_score': 0.7}}}
Loading chi in step crop with photo_hashtag_type : 3336
Loading chi in step crop for list_pids : 14 !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and `type` in (3336) 
Loaded 121 chid ids of type : 3336
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2099961860,2099961861,2099961862,2099961863,2099961864,2099961865,2099961866,2099961867,2099961868,2099961869,2099961870,2099961871,2099961872,2099961873,2099961874,2099961875,2099961876,2099961877,2099961878,2099961879,2099961880,2099961881,2099961882,2099961883,2099961884,2099961885,2099961886,2099961887,2099961888,2099961889,2099961890,2099961891,2099961892,2099961893,2099961894,2099961895,2099961896,2099961897,2099961898,2099961899,2099961900,2099961901,2099961902,2099961903,2099961904,2099961905,2099961906,2099961907,2099961908,2099961909,2099961910,2099961911,2099961912,2099961913,2099961914,2099961915,2099961916,2099961917,2099961918,2099961919,2099961920,2099961921,2099961922,2099961923,2099961924,2099961925,2099961926,2099961927,2099961928,2099961929,2099961930,2099961931,2099961932,2099961933,2099961934,2099961935,2099961936,2099961937,2099961938,2099961939,2099961940,2099961941,2099961942,2099961943,2099961944,2099961945,2099961946,2099961947,2099961948,2099961949,2099961950,2099961951,2099961952,2099961953,2099961954,2099961955,2099961956,2099961957,2099961958,2099961959,2099961960,2099961961,2099961962,2099961963,2099961964,2099961965,2099961966,2099961967,2099961968,2099961969,2099961970,2099961971,2099961972,2099961973,2099961974,2099961975,2099961976,2099961977,2099961978,2099961979,2099961980)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2099961860,2099961861,2099961862,2099961863,2099961864,2099961865,2099961866,2099961867,2099961868,2099961869,2099961870,2099961871,2099961872,2099961873,2099961874,2099961875,2099961876,2099961877,2099961878,2099961879,2099961880,2099961881,2099961882,2099961883,2099961884,2099961885,2099961886,2099961887,2099961888,2099961889,2099961890,2099961891,2099961892,2099961893,2099961894,2099961895,2099961896,2099961897,2099961898,2099961899,2099961900,2099961901,2099961902,2099961903,2099961904,2099961905,2099961906,2099961907,2099961908,2099961909,2099961910,2099961911,2099961912,2099961913,2099961914,2099961915,2099961916,2099961917,2099961918,2099961919,2099961920,2099961921,2099961922,2099961923,2099961924,2099961925,2099961926,2099961927,2099961928,2099961929,2099961930,2099961931,2099961932,2099961933,2099961934,2099961935,2099961936,2099961937,2099961938,2099961939,2099961940,2099961941,2099961942,2099961943,2099961944,2099961945,2099961946,2099961947,2099961948,2099961949,2099961950,2099961951,2099961952,2099961953,2099961954,2099961955,2099961956,2099961957,2099961958,2099961959,2099961960,2099961961,2099961962,2099961963,2099961964,2099961965,2099961966,2099961967,2099961968,2099961969,2099961970,2099961971,2099961972,2099961973,2099961974,2099961975,2099961976,2099961977,2099961978,2099961979,2099961980)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2099961860,2099961861,2099961862,2099961863,2099961864,2099961865,2099961866,2099961867,2099961868,2099961869,2099961870,2099961871,2099961872,2099961873,2099961874,2099961875,2099961876,2099961877,2099961878,2099961879,2099961880,2099961881,2099961882,2099961883,2099961884,2099961885,2099961886,2099961887,2099961888,2099961889,2099961890,2099961891,2099961892,2099961893,2099961894,2099961895,2099961896,2099961897,2099961898,2099961899,2099961900,2099961901,2099961902,2099961903,2099961904,2099961905,2099961906,2099961907,2099961908,2099961909,2099961910,2099961911,2099961912,2099961913,2099961914,2099961915,2099961916,2099961917,2099961918,2099961919,2099961920,2099961921,2099961922,2099961923,2099961924,2099961925,2099961926,2099961927,2099961928,2099961929,2099961930,2099961931,2099961932,2099961933,2099961934,2099961935,2099961936,2099961937,2099961938,2099961939,2099961940,2099961941,2099961942,2099961943,2099961944,2099961945,2099961946,2099961947,2099961948,2099961949,2099961950,2099961951,2099961952,2099961953,2099961954,2099961955,2099961956,2099961957,2099961958,2099961959,2099961960,2099961961,2099961962,2099961963,2099961964,2099961965,2099961966,2099961967,2099961968,2099961969,2099961970,2099961971,2099961972,2099961973,2099961974,2099961975,2099961976,2099961977,2099961978,2099961979,2099961980)
select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos  where photo_id in ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) 

begin to crop the class : teint_dans_la_masse
param for this class : {'min_score': 0.7}
filtre for class : teint_dans_la_masse 
hashtag_id of this class : 2107752385
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and hashtag_id = 2107752385) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961965]
chi_id interessant : [2099961965, 2099961952]
chi_id interessant : [2099961965, 2099961952, 2099961898]
chi_id interessant : [2099961965, 2099961952, 2099961898, 2099961863]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : teint_dans_la_masse



begin to crop the class : autre_refus
param for this class : {'min_score': 0.7}
filtre for class : autre_refus 
hashtag_id of this class : 2107752406
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and hashtag_id = 2107752406) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961980]
chi_id interessant : [2099961980, 2099961933]
chi_id interessant : [2099961980, 2099961933, 2099961880]
chi_id interessant : [2099961980, 2099961933, 2099961880, 2099961870]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : autre_refus



begin to crop the class : carton_gris
param for this class : {'min_score': 0.7}
filtre for class : carton_gris 
hashtag_id of this class : 2107753020
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and hashtag_id = 2107753020) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961976]
chi_id interessant : [2099961976, 2099961975]
chi_id interessant : [2099961976, 2099961975, 2099961971]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889, 2099961882]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889, 2099961882, 2099961876]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889, 2099961882, 2099961876, 2099961867]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889, 2099961882, 2099961876, 2099961867, 2099961862]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : carton_gris



begin to crop the class : cartonnette
param for this class : {'min_score': 0.7}
filtre for class : cartonnette 
hashtag_id of this class : 702398920
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and hashtag_id = 702398920) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961953]
chi_id interessant : [2099961953, 2099961954]
chi_id interessant : [2099961953, 2099961954, 2099961944]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922, 2099961932]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922, 2099961932, 2099961892]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922, 2099961932, 2099961892, 2099961877]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922, 2099961932, 2099961892, 2099961877, 2099961871]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : cartonnette



begin to crop the class : carton_brun
param for this class : {'min_score': 0.7}
filtre for class : carton_brun 
hashtag_id of this class : 2107753024
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and hashtag_id = 2107753024) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961974]
chi_id interessant : [2099961974, 2099961969]
chi_id interessant : [2099961974, 2099961969, 2099961979]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916, 2099961900]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916, 2099961900, 2099961901]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916, 2099961900, 2099961901, 2099961902]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916, 2099961900, 2099961901, 2099961902, 2099961872]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : carton_brun



begin to crop the class : plastique
param for this class : {'min_score': 0.7}
filtre for class : plastique 
hashtag_id of this class : 492725882
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and hashtag_id = 492725882) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961978]

begin to crop the class : kraft
param for this class : {'min_score': 0.7}
filtre for class : kraft 
hashtag_id of this class : 493202403
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and hashtag_id = 493202403) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : metal
param for this class : {'min_score': 0.7}
filtre for class : metal 
hashtag_id of this class : 492628673
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and hashtag_id = 492628673) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
map of total cropped photos with some data : 
{}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 11.717257738113403
time spend to save output : 0.00021123886108398438
total time spend for step 1 : 11.717468976974487

step2:thcl
Sun Feb  2 03:46:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {}
VR 22-3-18 : For now we do not clean correctly the datou structure 
No keys ! 

input_args_next_step, len :0
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Thcl !
no input

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.0008847713470458984
time spend to save output : 3.7670135498046875e-05
total time spend for step 2 : 0.0009224414825439453

step3:argmax
Sun Feb  2 03:46:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {}
VR 22-3-18 : For now we do not clean correctly the datou structure 
No keys ! 

input_args_next_step, len :0
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
no input

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.00017523765563964844
time spend to save output : 2.9802322387695312e-05
total time spend for step 3 : 0.00020503997802734375

step4:merge_mask_and_thcl
Sun Feb  2 03:46:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {}
VR 22-3-18 : For now we do not clean correctly the datou structure 
No keys ! 

input_args_next_step, len :0
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
debut de la step merge mask and classif
[] crops sont a sauvegarder

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 8.940696716308594e-05
time spend to save output : 2.8848648071289062e-05
total time spend for step 4 : 0.000118255615234375

step5:rle_unique_nms_with_priority
Sun Feb  2 03:46:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :14, first value : ['temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg
on traite la photo : temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg
on traite la photo : temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg
on traite la photo : temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg
on traite la photo : temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg
on traite la photo : temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg
on traite la photo : temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg
on traite la photo : temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg
on traite la photo : temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg
on traite la photo : temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg
on traite la photo : temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg
on traite la photo : temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg
on traite la photo : temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg
on traite la photo : temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786,1008922130,1008922101,1008922097) and `type` in (3418) and hashtag_id in (492668766,538914404) 
Loaded 26 chid ids of type : 3418
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2099963667,2099963668,2099963669,2099963670,2099963671,2099963672,2099963673,2099963674,2099963675,2099963676,2099963677,2099963678,2099963679,2099963680,2099963681,2099963682,2099963683,2099963684,2099963685,2099963686,2099963687,2099963688,2099963689,2099963690,2099963691,2099963692)
++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2099963667,2099963668,2099963669,2099963670,2099963671,2099963672,2099963673,2099963674,2099963675,2099963676,2099963677,2099963678,2099963679,2099963680,2099963681,2099963682,2099963683,2099963684,2099963685,2099963686,2099963687,2099963688,2099963689,2099963690,2099963691,2099963692)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2099963667,2099963668,2099963669,2099963670,2099963671,2099963672,2099963673,2099963674,2099963675,2099963676,2099963677,2099963678,2099963679,2099963680,2099963681,2099963682,2099963683,2099963684,2099963685,2099963686,2099963687,2099963688,2099963689,2099963690,2099963691,2099963692)
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 2.6835579872131348
create new chi : 0.0075795650482177734
 proportion hashtag : refus 0.011822314499524865
 proportion hashtag : papier 0.9824540455733292
time to delete rle : 0.7796449661254883
save time : 5.9604644775390625e-06
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 2.1940648555755615
create new chi : 0.007865190505981445
 proportion hashtag : refus 0.01255295771301869
 proportion hashtag : papier 0.9863322081881533
time to delete rle : 0.7892310619354248
save time : 7.867813110351562e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.703557014465332
create new chi : 0.008480310440063477
 proportion hashtag : papier 0.994315707158695
time to delete rle : 0.36040711402893066
save time : 5.9604644775390625e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 0.7755341529846191
create new chi : 6.628036499023438e-05
 proportion hashtag : refus 0.0018834633354450428
 proportion hashtag : papier 0.9981165366645549
time to delete rle : 0.747368335723877
save time : 2.574920654296875e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.7206811904907227
create new chi : 5.221366882324219e-05
 proportion hashtag : refus 0.011059624445676274
 proportion hashtag : papier 0.9889403755543237
time to delete rle : 0.6589796543121338
save time : 1.4543533325195312e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.625833749771118
create new chi : 0.008415460586547852
 proportion hashtag : papier 0.9585115913050364
time to delete rle : 1.0699126720428467
save time : 6.198883056640625e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.3123769760131836
create new chi : 3.6716461181640625e-05
 proportion hashtag : refus 0.0034527686490338928
 proportion hashtag : papier 0.9965472313509661
time to delete rle : 0.7955865859985352
save time : 6.67572021484375e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.468749761581421
create new chi : 6.771087646484375e-05
 proportion hashtag : refus 0.006595957396262274
 proportion hashtag : papier 0.9934040426037377
time to delete rle : 0.9614682197570801
save time : 6.67572021484375e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.3084282875061035
create new chi : 5.340576171875e-05
 proportion hashtag : refus 0.010260185698447893
 proportion hashtag : papier 0.9897398143015521
time to delete rle : 0.8713541030883789
save time : 8.821487426757812e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.23323392868042
create new chi : 0.00784611701965332
 proportion hashtag : papier 0.98686463117675
time to delete rle : 0.4379768371582031
save time : 5.4836273193359375e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.3903491497039795
create new chi : 7.534027099609375e-05
 proportion hashtag : refus 0.0024127929996832437
 proportion hashtag : papier 0.9975872070003168
time to delete rle : 0.4000215530395508
save time : 1.239776611328125e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 3.150404214859009
create new chi : 6.341934204101562e-05
 proportion hashtag : refus 0.009172696586949636
 proportion hashtag : papier 0.9908273034130504
time to delete rle : 1.4280109405517578
save time : 3.0994415283203125e-05
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 3.4490039348602295
create new chi : 0.006595611572265625
 proportion hashtag : papier 0.9896722560975609
 proportion hashtag : refus 0.001785095620842572
time to delete rle : 0.5814270973205566
save time : 2.1696090698242188e-05
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 1.4226527214050293
create new chi : 0.007873773574829102
 proportion hashtag : papier 0.9968715354767184
 proportion hashtag : refus 0.00213167168197656
time to delete rle : 0.5068001747131348
save time : 6.198883056640625e-06
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 42.53728914260864
time spend to save output : 0.0002598762512207031
total time spend for step 5 : 42.53754901885986

step6:ventilate_hashtags_in_portfolio
Sun Feb  2 03:46:54 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
To do loadFromThcl(), then load ParamDescType : thcl2456
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (2456) 
 thcls : [{'id': 2456, 'mtr_user_id': 31, 'name': 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'papier,refus', 'svm_portfolios_learning': '3028087,3028251', 'photo_hashtag_type': 3049, 'photo_desc_type': 4999, 'type_classification': 'caffe', 'hashtag_id_list': '492668766,538914404'}]
 thcl {'id': 2456, 'mtr_user_id': 31, 'name': 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'papier,refus', 'svm_portfolios_learning': '3028087,3028251', 'photo_hashtag_type': 3049, 'photo_desc_type': 4999, 'type_classification': 'caffe', 'hashtag_id_list': '492668766,538914404'}
 Update svm_hashtag_type_desc : 4999
Iterating over portfolio : 3364276
get user id for portfolio 3364276
get sub ptf for main ptf 3535038, type 3418 and hashtags ['papier', 'refus']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3535038 AND  mptpi.`type`=3418 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','refus'))  AND  mptpi.`min_score`=0.7
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3535038 AND  mptpi.`type`=3418 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','refus'))  AND  mptpi.`min_score`=0.7
To do
returned map {'refus': {'main_port_id': 3535038, 'sub_port_id': 3535090, 'hashtag': 'refus', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8903, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 16, 19, 20)}, 'papier': {'main_port_id': 3535038, 'sub_port_id': 3535091, 'hashtag': 'papier', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8904, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 16, 19, 20)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3535090 , sub_photo_id, 739,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3364276
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=3418
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='refus'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3535091 , sub_photo_id, 739,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3364276
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=3418
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !
get sub ptf for main ptf 3364276, type 3418 and hashtags ['papier', 'refus']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3364276 AND  mptpi.`type`=3418 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','refus'))  AND  mptpi.`min_score`=0.7
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3364276 AND  mptpi.`type`=3418 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','refus'))  AND  mptpi.`min_score`=0.7
To do
returned map {'refus': {'main_port_id': 3364276, 'sub_port_id': 3534897, 'hashtag': 'refus', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8901, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 15, 22, 49)}, 'papier': {'main_port_id': 3364276, 'sub_port_id': 3534898, 'hashtag': 'papier', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8902, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 15, 22, 49)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3534897 , sub_photo_id, 739,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3364276
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=3418
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='refus'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3534898 , sub_photo_id, 739,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3364276
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=3418
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 3.024226427078247
time spend to save output : 0.0001201629638671875
total time spend for step 6 : 3.0243465900421143

step7:final
Sun Feb  2 03:46:57 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
complete output_args for input 2 : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 input_args_next_step : {1008921601: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008921601
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008921600
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008921657
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008921656
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008921602
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008922095
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008922073
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008922072
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922003: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008922003
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008922002
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008921786
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (0.005230650193135238,), 1008922130: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008922130
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008922101
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908)}
 args : 1008922097
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :14, first value : (0.005230650193135238,)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738464359_2241491_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738464359_2241491_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738464359_2241491_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738464359_2241491_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738464359_2241491_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738464359_2241491_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738464359_2241491_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738464359_2241491_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738464359_2241491_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738464359_2241491_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738464359_2241491_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738464359_2241491_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738464359_2241491_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738464359_2241491_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step final !
 query to retrieve results for portfolio 3364276 : SELECT photo_id, hashtag_id, ratio from MTRPhoto.photo_carac_ratio where hashtag_type = 3418  and photo_id in (1008921602,1008921601,1008921600,1008921657,1008921656,1008921786,1008922003,1008922002,1008922073,1008922072,1008922097,1008922095,1008922101,1008922130);
insert ignore into MTRUser.portfolio_carac_ratio (portfolio_id, hashtag_type, hashtag_id, value) values (%s,%s,%s,%s) on DUPLICATE KEY UPDATE value=VALUES(value)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.02884197235107422
time spend to save output : 5.269050598144531e-05
total time spend for step 7 : 0.028894662857055664

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
original output for save of step final : {1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',)}
new output for save of step final : {1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',)}
[1008921601, 1008921600, 1008921657, 1008921656, 1008921602, 1008922095, 1008922073, 1008922072, 1008922003, 1008922002, 1008921786, 1008922130, 1008922101, 1008922097]
 map_info['map_portfolio_photo'] : {3364276: [1008922130, 1008922101, 1008922097, 1008922095, 1008922073, 1008922072, 1008922003, 1008922002, 1008921786, 1008921657, 1008921656, 1008921602, 1008921601, 1008921600]}
 final :  True mtd_id 3164 list_pids : [1008921601, 1008921600, 1008921657, 1008921656, 1008921602, 1008922095, 1008922073, 1008922072, 1008922003, 1008922002, 1008921786, 1008922130, 1008922101, 1008922097]
Looping around the photos to save general results
len do output : 14
/1008921601.Didn't retrieve data
.
/1008921600.Didn't retrieve data
.
/1008921657.Didn't retrieve data
.
/1008921656.Didn't retrieve data
.
/1008921602.Didn't retrieve data
.
/1008922095.Didn't retrieve data
.
/1008922073.Didn't retrieve data
.
/1008922072.Didn't retrieve data
.
/1008922003.Didn't retrieve data
.
/1008922002.Didn't retrieve data
.
/1008921786.Didn't retrieve data
.
/1008922130.Didn't retrieve data
.
/1008922101.Didn't retrieve data
.
/1008922097.Didn't retrieve data
.
before output type
Used above
Used above
Managing all output in save final without adding information in the mtr_datou_result 
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921601', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921600', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921657', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921656', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921602', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922095', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922073', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922072', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922003', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922002', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921786', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922130', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922101', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922097', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 42
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3164', '3364276', '1008921601', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921600', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921657', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921656', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921602', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922095', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922073', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922072', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922003', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922002', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921786', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922130', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922101', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922097', '0.005252307643909098', None, None, None, None, None)]
time used for this insertion : 0.01561737060546875
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 7
 output : {1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',)}
{1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',)}

############################### TEST ventilate_hashtags_in_portfolio  ################################
DELETE FROM MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 5486631;
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3070

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3070
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3070
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3070
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : ventilate_hashtags_in_portfolio
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5363525) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5363525)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1075306598, 'portfolio_id': 5363525}, {'photo_id': 1075306564, 'portfolio_id': 5363525}, {'photo_id': 1075306534, 'portfolio_id': 5363525}, {'photo_id': 1075306522, 'portfolio_id': 5363525}, {'photo_id': 1075304668, 'portfolio_id': 5363525}]
 map_portfolio_id_photo_id: {5363525: [1075306598, 1075306564, 1075306534, 1075306522, 1075304668]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.5674362182617188
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:ventilate_hashtags_in_portfolio
Sun Feb  2 03:46:58 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 5363525
get user id for portfolio 5363525
get sub ptf for main ptf 5363525, type 4268 and hashtags ['pet_clair', 'error', 'environment']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=5363525 AND  mptpi.`type`=4268 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','error','environment'))  AND  mptpi.`min_score`=0.3
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=5363525 AND  mptpi.`type`=4268 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','error','environment'))  AND  mptpi.`min_score`=0.3
To do
returned map {'pet_clair': {'main_port_id': 5363525, 'sub_port_id': 5486630, 'hashtag': 'pet_clair', 'pht': 4268, 'min_score': 0.3, 'mtr_user_id': 31, 'id': 1060439, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_asc': datetime.datetime(2022, 2, 16, 13, 28, 54)}, 'error': {'main_port_id': 5363525, 'sub_port_id': 5486631, 'hashtag': 'error', 'pht': 4268, 'min_score': 0.3, 'mtr_user_id': 31, 'id': 1060440, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_asc': datetime.datetime(2022, 2, 16, 13, 28, 54)}, 'environment': {'main_port_id': 5363525, 'sub_port_id': 5486632, 'hashtag': 'environment', 'pht': 4268, 'min_score': 0.3, 'mtr_user_id': 31, 'id': 1060441, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 10), 'last_updated_at_asc': datetime.datetime(2022, 2, 16, 13, 28, 54)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 5486630 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=5363525
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.3
AND chi.type=4268
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 5486631 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=5363525
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.3
AND chi.type=4268
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='error'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 5486632 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=5363525
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.3
AND chi.type=4268
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environment'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 3.326233386993408
time spend to save output : 0.0005230903625488281
total time spend for step 1 : 3.326756477355957

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral 
[1075306598, 1075306564, 1075306534, 1075306522, 1075304668]
 map_info['map_portfolio_photo'] : {5363525: [1075306598, 1075306564, 1075306534, 1075306522, 1075304668]}
 final :  True mtd_id 3070 list_pids : [1075306598, 1075306564, 1075306534, 1075306522, 1075304668]
Looping around the photos to save general results
len do output : 1
/5363525.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c848250>
Managing all output in save final without adding information in the mtr_datou_result 
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075306598', None, None, None, None, None, None)
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075306564', None, None, None, None, None, None)
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075306534', None, None, None, None, None, None)
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075306522', None, None, None, None, None, None)
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075304668', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3070', None, '5363525', "{'pet_clair': 5486630, 'error': 5486631, 'environment': 5486632}", None, None, None, None, None), ('3070', '5363525', '1075306598', None, None, None, None, None, None), ('3070', '5363525', '1075306564', None, None, None, None, None, None), ('3070', '5363525', '1075306534', None, None, None, None, None, None), ('3070', '5363525', '1075306522', None, None, None, None, None, None), ('3070', '5363525', '1075304668', None, None, None, None, None, None)]
time used for this insertion : 0.6134529113769531
 save_final 

save missing photos in datou_result :
After save, about to update current !

        SELECT count(*) from MTRUser.mtr_portfolio_photos 
        WHERE mtr_portfolio_id = 5486631 and hide_status = 0
Ayatollah of tests excluded it ! (Bon le prochain developpeur qui passe ici peut enlever ayatollah VR 11-2-21)
 name : merge_qualipapia_like not run because too long 

############################### TEST poly_ro_rle  ################################
test creation de rle a partir de polygon
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3138

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3138
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3138
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3138
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : poly_to_rle
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3337029) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3337029)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1003369118, 'portfolio_id': 3337029}]
 map_portfolio_id_photo_id: {3337029: [1003369118]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1003369118
download finish for photo 1003369118
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.3003883361816406
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:poly_to_rle
Sun Feb  2 03:47:02 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464422_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg': 1003369118}
map_photo_id_path_extension : {1003369118: {'path': 'temp/1738464422_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
can't find the hashtag_type_input ,set the output_type same as the input_type
on traite la photo : temp/1738464422_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1003369118) and `type` in (3391) 
Loaded 16 chid ids of type : 3391
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
time for calcul the mask position with numpy : 0.009604692459106445
nb_pixel_total : 110633
time to create 1 rle with old method : 0.11931490898132324
time for calcul the mask position with numpy : 0.007179975509643555
nb_pixel_total : 15826
time to create 1 rle with old method : 0.017345190048217773
time for calcul the mask position with numpy : 0.00712895393371582
nb_pixel_total : 5286
time to create 1 rle with old method : 0.006522417068481445
time for calcul the mask position with numpy : 0.007122039794921875
nb_pixel_total : 1633
time to create 1 rle with old method : 0.002011537551879883
time for calcul the mask position with numpy : 0.0076558589935302734
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11238336563110352
time for calcul the mask position with numpy : 0.00726008415222168
nb_pixel_total : 4393
time to create 1 rle with old method : 0.0052068233489990234
time for calcul the mask position with numpy : 0.0070226192474365234
nb_pixel_total : 632
time to create 1 rle with old method : 0.0008213520050048828
time for calcul the mask position with numpy : 0.007590532302856445
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06807208061218262
time for calcul the mask position with numpy : 0.007330894470214844
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03566598892211914
time for calcul the mask position with numpy : 0.0073778629302978516
nb_pixel_total : 37724
time to create 1 rle with old method : 0.042330265045166016
time for calcul the mask position with numpy : 0.00756382942199707
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05319046974182129
time for calcul the mask position with numpy : 0.03854107856750488
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.11882352828979492
time for calcul the mask position with numpy : 0.00715947151184082
nb_pixel_total : 2310
time to create 1 rle with old method : 0.0025081634521484375
time for calcul the mask position with numpy : 0.00701594352722168
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0029649734497070312
time for calcul the mask position with numpy : 0.007082223892211914
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0036056041717529297
time for calcul the mask position with numpy : 0.0069811344146728516
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0021407604217529297
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 16 chid ids of type : 3391
++++++++++++++++Number RLEs to save : 0
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 2.4843523502349854
time spend to save output : 0.0001201629638671875
total time spend for step 1 : 2.4844725131988525

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1003369118: 'temp/1738464422_2241491_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg'}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1003369118) and `type` in (3391) 
Loaded 16 chid ids of type : 3391
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
fin du test de poly_to_rle

############################### TEST cod_sts  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3781

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3781
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3781
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3781
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4453840) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4453840)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1050302186, 'portfolio_id': 4453840}, {'photo_id': 1050302153, 'portfolio_id': 4453840}, {'photo_id': 1050302152, 'portfolio_id': 4453840}, {'photo_id': 1050302146, 'portfolio_id': 4453840}, {'photo_id': 1050302113, 'portfolio_id': 4453840}, {'photo_id': 1050302110, 'portfolio_id': 4453840}, {'photo_id': 1050302106, 'portfolio_id': 4453840}]
 map_portfolio_id_photo_id: {4453840: [1050302186, 1050302153, 1050302152, 1050302146, 1050302113, 1050302110, 1050302106]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.04742765426635742
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score
Sun Feb  2 03:47:05 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4453840 group by h
(('48', 4), ('42', 3))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4453840  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4453840)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4453840)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
17082021 4453840 Nombre de photos uploadées : 7 / 23040 (0%)
17082021 4453840 Nombre de photos taguées (types de déchets): 0 / 7 (0%)
17082021 4453840 Nombre de photos taguées (volume) : 0 / 7 (0%)
[{'photo_id': 1050302113, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/13/8b089b6e181d22a2bb6883e02fd3a110.jpg', 'username': None, 'uploaded_at': 1631534001, 'text': 'IMG_20210817_104213.jpg'}, {'photo_id': 1050302153, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/13/fd7af64d2c8fdd6083cf479b54278cc7.jpg', 'username': None, 'uploaded_at': 1631534029, 'text': 'IMG_20210817_104213.jpg'}, {'photo_id': 1050302186, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/13/c60917e9be6d6a9f1fa465e963bfa064.jpg', 'username': None, 'uploaded_at': 1631534095, 'text': 'IMG_20210817_104216.jpg'}, {'photo_id': 1050302110, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/13/314ca6fa7e24f250d19c3f32c9493132.jpg', 'username': None, 'uploaded_at': 1631534001, 'text': 'IMG_20210817_094832.jpg'}]
0
[]
 elapsed_time : load_data_split_time_score 3.814697265625e-06
 elapsed_time : order_list_meta_photo_and_scores 1.1444091796875e-05
??????? elapsed_time : fill_and_build_computed_from_old_data 0.0005097389221191406

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
34, 4453840, '2021-08-17'
) ON DUPLICATE KEY UPDATE mtr_portfolio_id=VALUES(mtr_portfolio_id), updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(173725,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.04087400436401367
TODO 20-09-21 https://github.com/fotonower/raspi-fotonower-x/issues/253#issuecomment-923099773
TODO 20-9-21
TODO 20-9-21
***** BEGIN SPLIT TIME *****
False
1629158400.0
`1629186488.0 1629186300.0
`1629186488.0 1629186300.0
`1629186512.0 1629186300.0
`1629186512.0 1629186300.0
`1629189733.0 1629189600.0
`1629189733.0 1629189600.0
`1629189736.0 1629189600.0
list printed:  [[0, 1, 2, 3], [4, 5, 6]]
forced_hashtag:  jrm
force hashtag to jrm
 elapsed_time : SPLIT_TIME 0.0054073333740234375
***** END SPLIT TIME *****
 NUMBER BATCH : 2
 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['jrm']
Listed one port to create portfolio : jrm_diff_batch__17082021_09_48_08_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__17082021_09_48_08_000000 : 0 duration : 24.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d5c39f310>
None
result_one_balle_Type_jrm:{'day': '17082021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 24.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20210817_094808.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__17082021_10_42_13_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__17082021_10_42_13_000000 : 0 duration : 3.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f5d5c39f9a0>
None
result_one_balle_Type_jrm:{'day': '17082021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 3.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20210817_104213.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
We have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 2
list_same_port_ids : [4453926]


 find same portfolio which already exist 4453926 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4453926 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4453926 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4652336]


 find same portfolio which already exist 4652336 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4652336 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4652336 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4453926
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384740, 'mtr_portfolio_id': 4453926, 'created_at': datetime.datetime(2024, 11, 21, 1, 57, 11), 'result': '0.5219450480102605', 'result_long': None, 'result_double': None}]
Qualite : 0.5219450480102605
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4453926 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4453926 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579506, '_______jrm',
'2021-08-17 09:48:08', '2021-08-17 09:48:32',
4, 4453926,
0.5219450480102605, 2384740,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4453926_21-11-2024_01_57_11.pdf', 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 18491127, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 18491128, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 18491129, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 18491130, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 18491131, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 18491132, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 18491133, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 18491134, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 18491135, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 18491136, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4652336
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384741, 'mtr_portfolio_id': 4652336, 'created_at': datetime.datetime(2024, 11, 21, 2, 2, 45), 'result': '0.1657989516453152', 'result_long': None, 'result_double': None}]
Qualite : 0.1657989516453152
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4652336 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4652336 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1579506, '_______jrm',
'2021-08-17 10:42:13', '2021-08-17 10:42:16',
3, 4652336,
0.1657989516453152, 2384741,
'-1', "{'max_time_prod_two_photos': 0, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 18491234, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 18491235, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 18491236, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 18491237, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 18491238, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 18491239, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 18491240, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 18491241, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 18491242, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 18491243, 'pht': 4038}}"
);
 elapsed_time : count_nb_balles_and_create_portfolio 1.1015605926513672
# DISPLAY ALL COLLECTED DATA : 
{'17082021': {'nb_upload': 7, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.1938467025756836
time spend to save output : 5.793571472167969e-05
total time spend for step 1 : 1.1939046382904053

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1050302186, 1050302153, 1050302152, 1050302146, 1050302113, 1050302110, 1050302106]
 map_info['map_portfolio_photo'] : {4453840: [1050302186, 1050302153, 1050302152, 1050302146, 1050302113, 1050302110, 1050302106]}
 final :  True mtd_id 3781 list_pids : [1050302186, 1050302153, 1050302152, 1050302146, 1050302113, 1050302110, 1050302106]
Looping around the photos to save general results
len do output : 1
/4453840Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d5c39fca0>
Managing all output in save final without adding information in the mtr_datou_result 
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302186', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302153', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302152', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302146', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302113', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302110', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302106', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 8
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3781', None, '4453840', 'None', None, None, None, None, None), ('3781', '4453840', '1050302186', None, None, None, None, None, None), ('3781', '4453840', '1050302153', None, None, None, None, None, None), ('3781', '4453840', '1050302152', None, None, None, None, None, None), ('3781', '4453840', '1050302146', None, None, None, None, None, None), ('3781', '4453840', '1050302113', None, None, None, None, None, None), ('3781', '4453840', '1050302110', None, None, None, None, None, None), ('3781', '4453840', '1050302106', None, None, None, None, None, None)]
time used for this insertion : 0.03960728645324707
 save_final 

save missing photos in datou_result :
After save, about to update current !
Result test cod : {4453840: ([[0, 1, 2, 3], [4, 5, 6]], {'Rungis_jrm': [(0, 1), (1, 2)]}, {4453926: {'list_of_photos': [1050302106, 1050302146, 1050302110, 1050302152], 'hashtag': 'jrm'}, 4652336: {'list_of_photos': [1050302113, 1050302153, 1050302186], 'hashtag': 'jrm'}}, {2107757407: 7}, {'amount_uploaded_and_tagged': {'17082021': {'nb_upload': 7, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2)]}})}|

############################### TEST cod_download  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
[]
[]

############################### TEST sendgrid  ################################
test sendgrid
senders@fotonower.com
no problem of authentification, for test if the email can be received, try with a real receiver
fin du test de sendgrid

############################### TEST rym_consolidate  ################################
test_rym_consolidate

    DELETE FROM MTRUser.portfolio_carac_ratio WHERE portfolio_id = 4709558 AND hashtag_type = 4016
    
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3818

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3818
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3818
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3818
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 9321 copy_chis is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 9357 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 9318 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition !
WARNING : number of outputs for step 9318 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 9410 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 9319 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 9328 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs !
Step 9327 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs !
Step 9326 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 9321 have datatype=11 whereas input 0 of step 9318 have datatype=2
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 9357 doesn't seem to be define in the database(
WARNING : type of input 1 of step 9318 doesn't seem to be define in the database(
WARNING : type of output 1 of step 9357 doesn't seem to be define in the database(
WARNING : type of input 3 of step 9319 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 9410 doesn't seem to be define in the database(
WARNING : output 1 of step 9318 have datatype=7 whereas input 1 of step 9410 have datatype=None
WARNING : type of output 1 of step 9410 doesn't seem to be define in the database(
WARNING : type of input 4 of step 9319 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 9410 have datatype=10 whereas input 3 of step 9326 have datatype=6
WARNING : type of output 1 of step 9321 doesn't seem to be define in the database(
WARNING : type of input 1 of step 9357 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : copy_chis, consolidate_hashtags_from_manual_portfolio, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final, blur_detection, brightness, send_mail_cod
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4709558) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4709558)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1057289546, 'portfolio_id': 4709558}, {'photo_id': 1057289467, 'portfolio_id': 4709558}]
 map_portfolio_id_photo_id: {4709558: [1057289546, 1057289467]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1057289546
begin to download photo : 1057289467
download finish for photo 1057289546
download finish for photo 1057289467
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 0.21677303314208984
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  8
step1:copy_chis
Sun Feb  2 03:47:09 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546, 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467}
map_photo_id_path_extension : {1057289546: {'path': 'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}, 1057289467: {'path': 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg
processing picture : temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057289546,1057289467) and `type` in (3326)  and score>0.7and hashtag_id in (2107755846,492622729) 
Loaded 0 chid ids of type : 0
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in ()
 map_nb_chis : {}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.00924539566040039
time spend to save output : 3.1948089599609375e-05
total time spend for step 1 : 0.00927734375

step2:consolidate_hashtags_from_manual_portfolio
Sun Feb  2 03:47:09 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546, 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467}
map_photo_id_path_extension : {1057289546: {'path': 'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}, 1057289467: {'path': 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step consolidate_hashtags_from_manual_portfolio
Iterating over portfolio : 4709558
on est dans le IF portfolio mere 26T
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4709558 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre')) 
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4709558 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre')) 
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4683188 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre')) 
To do
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673496 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057582145,1057582187,1057582185,1057582184,1057582179,1057582178,1057582177,1057582159,1057582158,1057582157,1057582156,1057582153,1057582146,1057582188,1057582136,1057582135,1057582133,1057582132,1057576428,1057576420,1057576419,1057576417,1057576412,1057576411,1057576410,1057632277,1057633188,1057633187,1057633186,1057633185,1057633183,1057633181,1057632407,1057632406,1057632403,1057632399,1057632283,1057576409,1057632274,1057632234,1057632230,1057632224,1057588202,1057588194,1057588193,1057588192,1057588191,1057582197,1057582196,1057570985,1057574086,1057574082,1057574081,1057574079,1057574077,1057574076,1057571007,1057571006,1057571005,1057571004,1057571003,1057574101,1057570984,1057570982,1057570981,1057570977,1057570968,1057570967,1057570966,1057570965,1057570960,1057570959,1057570958,1057574143,1057576404,1057576403,1057576401,1057576400,1057576399,1057576398,1057576397,1057576391,1057576371,1057574152,1057574144,1057563188,1057574140,1057574130,1057574129,1057574128,1057574127,1057574123,1057574122,1057574120,1057574104,1057574103,1057574102)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673496, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673496;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673496 and b.mtr_portfolio_id = 4673496;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673496, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673496;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673496 and b.mtr_portfolio_id = 4673496;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673497 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057576405,1057632500,1057632494,1057632391,1057632323,1057632241,1057582194,1057582175,1057582167,1057582131,1057576425,1057576424,1057576418,1057576416,1057576406,1057570974,1057576392,1057576390,1057576383,1057574169,1057574159,1057574158,1057574137,1057574136,1057574135,1057574096,1057574075,1057574074,1057570988)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673497, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673497;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673497 and b.mtr_portfolio_id = 4673497;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673497, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673497;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673497 and b.mtr_portfolio_id = 4673497;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673498 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057570963,1057570964,1057570991,1057574097,1057574098,1057576375,1057576376,1057576408,1057582138,1057582139,1057582166,1057582190,1057582192,1057632392)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673498, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673498;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673498 and b.mtr_portfolio_id = 4673498;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673498, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673498;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673498 and b.mtr_portfolio_id = 4673498;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673500 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057574091,1057574092)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673500, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673500;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673500 and b.mtr_portfolio_id = 4673500;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673500, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673500;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673500 and b.mtr_portfolio_id = 4673500;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673501 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057576423)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673501, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673501;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673501 and b.mtr_portfolio_id = 4673501;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673501, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673501;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673501 and b.mtr_portfolio_id = 4673501;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673502 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673502, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673502;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673502 and b.mtr_portfolio_id = 4673502;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673502, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673502;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673502 and b.mtr_portfolio_id = 4673502;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673503 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057582143,1057582174,1057582170,1057582169,1057582165,1057582164,1057582155,1057582152,1057582144,1057582176,1057582137,1057582134,1057576427,1057576413,1057576396,1057576395,1057576394,1057588205,1057633191,1057632397,1057632366,1057632286,1057632199,1057588211,1057588209,1057588208,1057576393,1057588204,1057588203,1057588196,1057588190,1057588189,1057588188,1057582182,1057570992,1057574087,1057574085,1057574084,1057574083,1057571001,1057571000,1057570999,1057570998,1057574088,1057570990,1057570989,1057570973,1057570971,1057563192,1057563191,1057563190,1057563189,1057574089,1057574093,1057574112,1057574113,1057574114,1057574116,1057574124,1057574125,1057574148,1057574149,1057574150,1057574151,1057574161,1057574163,1057576386)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673503, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673503;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673503 and b.mtr_portfolio_id = 4673503;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673503, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673503;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673503 and b.mtr_portfolio_id = 4673503;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673504 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673504, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673504;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673504 and b.mtr_portfolio_id = 4673504;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673504, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673504;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673504 and b.mtr_portfolio_id = 4673504;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673505 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673505, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673505;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673505 and b.mtr_portfolio_id = 4673505;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673505, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673505;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673505 and b.mtr_portfolio_id = 4673505;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673506 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057570969,1057570994,1057570995,1057574117,1057574131,1057574132,1057574133,1057574134,1057574155,1057574165,1057574166,1057582181)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673506, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673506;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673506 and b.mtr_portfolio_id = 4673506;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673506, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673506;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673506 and b.mtr_portfolio_id = 4673506;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673507 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057457388,1057463440,1057570268,1057570417,1057570431,1057570432,1057571011,1057573142,1057573356,1057574626,1057584527)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673507, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673507;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673507 and b.mtr_portfolio_id = 4673507;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673507, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673507;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673507 and b.mtr_portfolio_id = 4673507;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673508 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057073029,1057073040,1057221288,1057222012,1057223450,1057225324,1057227849,1057294428,1057294430,1057294479,1057294492,1057294584,1057294586,1057299396,1057299399,1057299402,1057299505,1057300117,1057300166,1057300170,1057304003,1057312415,1057312448,1057312454,1057312455,1057312468,1057312470,1057312472,1057312479,1057312504,1057348152,1057348172,1057348176,1057348178,1057348335,1057348339,1057348380,1057348384,1057348418,1057348426,1057348427,1057348428,1057348433,1057348470,1057348473,1057348489,1057348500,1057348501,1057348506,1057348530,1057348536,1057348549,1057348556,1057348560,1057348635,1057348659,1057348686,1057348691,1057355861,1057449649,1057449651,1057451461,1057453337,1057453354,1057453360,1057453384,1057453385,1057453526,1057453550,1057453596,1057453601,1057453620,1057453621,1057453633,1057453658,1057453664,1057453670,1057453675,1057454690,1057454696,1057454698,1057454699,1057454708,1057454709,1057454757,1057454761,1057454764,1057454765,1057454848,1057454851,1057454892,1057454948,1057454975,1057454983,1057456271,1057456312,1057456326,1057456328,1057456598,1057456600,1057456615,1057456619,1057456620,1057456650,1057456663,1057456664,1057456674,1057456695,1057457092,1057457093,1057457098,1057457143,1057457268,1057457273,1057457274,1057457315,1057457352,1057457382,1057457419,1057457421,1057457434,1057457488,1057457510,1057457626,1057457632,1057457688,1057457755,1057457796,1057457807,1057457819,1057457833,1057457837,1057457880,1057457932,1057457934,1057457964,1057461673,1057461702,1057461703,1057461752,1057463419,1057463447,1057463462,1057463463,1057463464,1057463466,1057463469,1057463470,1057463471,1057463485,1057463486,1057463496,1057463499,1057463511,1057463513,1057463909,1057463910,1057463922,1057463923,1057463925,1057463928,1057463929,1057463931,1057463970,1057463971,1057463980,1057463986,1057463987,1057464014,1057464077,1057464079,1057464081,1057464086,1057464101,1057464112,1057464117,1057464121,1057466084,1057466086,1057469463,1057469586,1057469587,1057469621,1057469623,1057469625,1057469640,1057469642,1057469664,1057469665,1057469671,1057469673,1057469674,1057469675,1057469686,1057469724,1057469726,1057469731,1057469736,1057469747,1057469753,1057469754,1057469769,1057469784,1057469829,1057470805,1057470814,1057470823,1057470824,1057470825,1057470918,1057470936,1057470976,1057470979,1057470991,1057470992,1057471010,1057471011,1057471014,1057471019,1057471025,1057471026,1057471052,1057471069,1057471070,1057471111,1057471193,1057471198,1057471205,1057471230,1057471238,1057471246,1057471254,1057471257,1057472184,1057472188,1057472200,1057472204,1057472210,1057472217,1057472228,1057472230,1057472231,1057472274,1057472287,1057472290,1057472339,1057472353,1057472356,1057472365,1057472366,1057472368,1057472400,1057472422,1057472423,1057472424,1057474996,1057474998,1057474999,1057475026,1057475045,1057475116,1057475205,1057475206,1057475714,1057476270,1057476287,1057476299,1057563187,1057569880,1057569932,1057569936,1057569942,1057569948,1057570016,1057570034,1057570036,1057570046,1057570088,1057570135,1057570141,1057570148,1057570150,1057570156,1057570172,1057570215,1057570219,1057570226,1057570230,1057570240,1057570241,1057570244,1057570246,1057570256,1057570257,1057570269,1057570278,1057570284,1057570305,1057570326,1057570352,1057570354,1057570389,1057570392,1057570395,1057570396,1057570399,1057570401,1057570436,1057570955,1057570956,1057570961,1057570962,1057570970,1057570976,1057570978,1057570979,1057570980,1057570993,1057570996,1057571008,1057573105,1057573106,1057573107,1057573119,1057573133,1057573159,1057573184,1057573188,1057573196,1057573206,1057573207,1057573210,1057573238,1057573242,1057573255,1057573258,1057573265,1057573266,1057573267,1057573268,1057573277,1057573279,1057573283,1057573295,1057573329,1057573374,1057573397,1057574078,1057574080,1057574100,1057574107,1057574109,1057574110,1057574126,1057574145,1057574146,1057574153,1057574156,1057574157,1057574160,1057574167,1057574168,1057574203,1057574207,1057574210,1057574223,1057574240,1057574311,1057574325,1057574396,1057574399,1057574449,1057574460,1057574501,1057574544,1057574545,1057574563,1057574564,1057574586,1057574598,1057574621,1057574624,1057574625,1057574635,1057574636,1057574640,1057576372,1057576373,1057576374,1057576377,1057576378,1057576379,1057576380,1057576382,1057576384,1057576385,1057576387,1057576389,1057576426,1057578819,1057578821,1057578825,1057578832,1057578847,1057578858,1057578864,1057578874,1057578914,1057578915,1057578917,1057578918,1057578929,1057578947,1057578973,1057579057,1057579075,1057579114,1057579126,1057579146,1057579217,1057579219,1057579373,1057579395,1057579397,1057579429,1057579433,1057582130,1057582140,1057582141,1057582148,1057582149,1057582150,1057582151,1057582168,1057582171,1057582180,1057582183,1057584284,1057584285,1057584302,1057584308,1057584310,1057584322,1057584331,1057584355,1057584372,1057584376,1057584382,1057584386,1057584393,1057584404,1057584409,1057584411,1057584443,1057584445,1057584448,1057584501,1057584525,1057584531,1057584534,1057584548,1057584549,1057584571,1057584572,1057584596,1057584597,1057584598,1057584641,1057584655,1057587605,1057587606,1057587671,1057587691,1057588195,1057588197,1057588198,1057588199,1057588206,1057588207,1057632208,1057632242,1057632311,1057632357,1057632359,1057632370,1057632380,1057632387,1057632429,1057633182,1057633189,1057633190)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673508, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673508;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673508 and b.mtr_portfolio_id = 4673508;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673508, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673508;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673508 and b.mtr_portfolio_id = 4673508;
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (572316,572317,572315,572314,572313,572312,572306,572311,572310,572309,572308,572307);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (572316,572317,572315,572314,572313,572312,572306,572311,572310,572309,572308,572307);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (561088,561089,561087,561086,561082,561081,561075,561084,561079,561078,561077,561076);
To test !
Use context local managing function !

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 57.404454469680786
time spend to save output : 0.0001811981201171875
total time spend for step 2 : 57.4046356678009

step3:rle_unique_nms_with_priority
Sun Feb  2 03:48:06 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ['temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546, 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467}
map_photo_id_path_extension : {1057289546: {'path': 'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}, 1057289467: {'path': 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg
on traite la photo : temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057289546,1057289467) and `type` in (4016) and hashtag_id in (492622729,494826614,492668766,2107756122,492774966,493546845,2107755900,492628673,2107756859,628944319,492645504,492636447,2107755846,2107755527,493012381) 
Loaded 65 chid ids of type : 4016
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2241206167,2241206166,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2241206168,2241206169,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2241206167,2241206166,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2241206168,2241206169,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2241206167,2241206166,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2241206168,2241206169,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058)
nb_obj : 0
nb_hashtags :  3
time to prepare the origin masks  : 9.857988595962524
create new chi : 3.1948089599609375e-05
 proportion hashtag : pet_clair 0.5358597032000172
 proportion hashtag : environment 0.16202715754672498
 proportion hashtag : etiquette 0.004007054290980795
time to delete rle : 1.1239662170410156
save time : 1.621246337890625e-05
nb_obj : 0
nb_hashtags :  3
time to prepare the origin masks  : 9.147823095321655
create new chi : 1.9788742065429688e-05
 proportion hashtag : environment 0.29592690382801784
 proportion hashtag : pet_clair 0.39099757399905694
 proportion hashtag : etiquette 0.0016148780435528121
time to delete rle : 0.8034594058990479
save time : 8.344650268554688e-06
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1057289546: (0.0, 'Should be the crop_list due to order', 0.0), 1057289467: (0.0, 'Should be the crop_list due to order', 0.0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 23.315862894058228
time spend to save output : 0.00025963783264160156
total time spend for step 3 : 23.31612253189087

step4:ventilate_hashtags_in_portfolio
Sun Feb  2 03:48:30 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546, 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467}
map_photo_id_path_extension : {1057289546: {'path': 'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}, 1057289467: {'path': 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 4709558
get user id for portfolio 4709558
get sub ptf for main ptf 4709558, type 4016 and hashtags ['environnement', 'mal_croppe', 'pet_clair', 'etiquette', 'bouchon', 'pehd', 'barquette_avec_film', 'metal', 'pet_fonce', 'aluminium', 'carton', 'film_plastique', 'papier', 'autre']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4709558 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('environnement','mal_croppe','pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre'))  AND  mptpi.`min_score`=0.7
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4709558 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('environnement','mal_croppe','pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre'))  AND  mptpi.`min_score`=0.7
To do
returned map {'mal_croppe': {'main_port_id': 4709558, 'sub_port_id': 4673494, 'hashtag': 'mal_croppe', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572305, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2021, 10, 28, 16, 30, 19)}, 'papier': {'main_port_id': 4709558, 'sub_port_id': 4673496, 'hashtag': 'papier', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572316, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'autre': {'main_port_id': 4709558, 'sub_port_id': 4673497, 'hashtag': 'autre', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572317, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'film_plastique': {'main_port_id': 4709558, 'sub_port_id': 4673498, 'hashtag': 'film_plastique', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572315, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'carton': {'main_port_id': 4709558, 'sub_port_id': 4673500, 'hashtag': 'carton', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572314, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'aluminium': {'main_port_id': 4709558, 'sub_port_id': 4673501, 'hashtag': 'aluminium', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572313, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'pet_fonce': {'main_port_id': 4709558, 'sub_port_id': 4673502, 'hashtag': 'pet_fonce', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572312, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'pet_clair': {'main_port_id': 4709558, 'sub_port_id': 4673503, 'hashtag': 'pet_clair', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572306, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'metal': {'main_port_id': 4709558, 'sub_port_id': 4673504, 'hashtag': 'metal', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572311, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'barquette_avec_film': {'main_port_id': 4709558, 'sub_port_id': 4673505, 'hashtag': 'barquette_avec_film', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572310, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'pehd': {'main_port_id': 4709558, 'sub_port_id': 4673506, 'hashtag': 'pehd', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572309, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'bouchon': {'main_port_id': 4709558, 'sub_port_id': 4673507, 'hashtag': 'bouchon', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572308, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'etiquette': {'main_port_id': 4709558, 'sub_port_id': 4673508, 'hashtag': 'etiquette', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572307, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 48, 6), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 48, 6)}, 'environnement': {'main_port_id': 4709558, 'sub_port_id': 4709559, 'hashtag': 'environnement', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 970, 'id': 572318, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 42, 40), 'last_updated_at_asc': datetime.datetime(2021, 10, 28, 16, 34, 8)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673494 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673496 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673497 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673498 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='film_plastique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673500 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='carton'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673501 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='aluminium'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673502 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_fonce'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673503 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673504 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='metal'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673505 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='barquette_avec_film'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673506 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pehd'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673507 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='bouchon'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673508 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='etiquette'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4709559 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environnement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.0903418064117432
time spend to save output : 9.059906005859375e-05
total time spend for step 4 : 1.0904324054718018

step5:final
Sun Feb  2 03:48:31 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
complete output_args for input 2 : {1057289546: (0.0, 'Should be the crop_list due to order', 0.0), 1057289467: (0.0, 'Should be the crop_list due to order', 0.0)}
 input_args_next_step : {1057289546: ()}
 output_args : {1057289546: (0.0, 'Should be the crop_list due to order', 0.0), 1057289467: (0.0, 'Should be the crop_list due to order', 0.0)}
 args : 1057289546
 depend.output_id : 0
 input_args_next_step : {1057289546: (0.0,), 1057289467: ()}
 output_args : {1057289546: (0.0, 'Should be the crop_list due to order', 0.0), 1057289467: (0.0, 'Should be the crop_list due to order', 0.0)}
 args : 1057289467
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : (0.0,)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546, 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467}
map_photo_id_path_extension : {1057289546: {'path': 'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}, 1057289467: {'path': 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step final !
 query to retrieve results for portfolio 4709558 : SELECT photo_id, hashtag_id, ratio from MTRPhoto.photo_carac_ratio where hashtag_type = 4016  and photo_id in (1057289467,1057289546);
insert ignore into MTRUser.portfolio_carac_ratio (portfolio_id, hashtag_type, hashtag_id, value) values (%s,%s,%s,%s) on DUPLICATE KEY UPDATE value=VALUES(value)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.1595311164855957
time spend to save output : 5.793571472167969e-05
total time spend for step 5 : 0.15958905220031738

step6:blur_detection
Sun Feb  2 03:48:31 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546, 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467}
map_photo_id_path_extension : {1057289546: {'path': 'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}, 1057289467: {'path': 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
inside step blur_detection
toutes les photos sont déjà traitées, on saute les calculs
score_blur_detection : {1057289546: [(1057289546, -4.333383571220791, 492609224)], 1057289467: [(1057289467, -4.424440243329978, 492609224)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.007391214370727539
time spend to save output : 5.078315734863281e-05
total time spend for step 6 : 0.007441997528076172

step7:brightness
Sun Feb  2 03:48:31 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546, 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467}
map_photo_id_path_extension : {1057289546: {'path': 'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}, 1057289467: {'path': 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
inside step calcul brightness
toutes les photos sont déjà traitées, on saute les calculs
brightness_score : {1057289467: [(1057289467, -0.4062218880770088, 496442774)], 1057289546: [(1057289546, -0.5998675991292823, 501862349)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.021532058715820312
time spend to save output : 3.0040740966796875e-05
total time spend for step 7 : 0.02156209945678711

step8:send_mail_cod
Sun Feb  2 03:48:31 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {1057289546: [(1057289546, -4.333383571220791, 492609224)], 1057289467: [(1057289467, -4.424440243329978, 492609224)]}
 input_args_next_step : {1057289546: ()}
 output_args : {1057289546: [(1057289546, -4.333383571220791, 492609224)], 1057289467: [(1057289467, -4.424440243329978, 492609224)]}
 args : 1057289546
 depend.output_id : 0
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224),), 1057289467: ()}
 output_args : {1057289546: [(1057289546, -4.333383571220791, 492609224)], 1057289467: [(1057289467, -4.424440243329978, 492609224)]}
 args : 1057289467
 depend.output_id : 0
complete output_args for input 1 : {1057289467: [(1057289467, -0.4062218880770088, 496442774)], 1057289546: [(1057289546, -0.5998675991292823, 501862349)]}
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224),), 1057289467: ((1057289467, -4.424440243329978, 492609224),)}
 output_args : {1057289467: [(1057289467, -0.4062218880770088, 496442774)], 1057289546: [(1057289546, -0.5998675991292823, 501862349)]}
 args : 1057289467
 depend.output_id : 0
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224),), 1057289467: ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774))}
 output_args : {1057289467: [(1057289467, -0.4062218880770088, 496442774)], 1057289546: [(1057289546, -0.5998675991292823, 501862349)]}
 args : 1057289546
 depend.output_id : 0
complete output_args for input 2 : {1057289546: ('0.009511382621534484',), 1057289467: ('0.009511382621534484',)}
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349)), 1057289467: ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774))}
 output_args : {1057289546: ('0.009511382621534484',), 1057289467: ('0.009511382621534484',)}
 args : 1057289546
 depend.output_id : 0
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349), '0.009511382621534484'), 1057289467: ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774))}
 output_args : {1057289546: ('0.009511382621534484',), 1057289467: ('0.009511382621534484',)}
 args : 1057289467
 depend.output_id : 0
Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output
complete output_args for input 3 : {4709558: [{'mal_croppe': 4673494, 'papier': 4673496, 'autre': 4673497, 'film_plastique': 4673498, 'carton': 4673500, 'aluminium': 4673501, 'pet_fonce': 4673502, 'pet_clair': 4673503, 'metal': 4673504, 'barquette_avec_film': 4673505, 'pehd': 4673506, 'bouchon': 4673507, 'etiquette': 4673508, 'environnement': 4709559}]}
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349), '0.009511382621534484'), 1057289467: ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774), '0.009511382621534484'), 4709558: ()}
 output_args : {4709558: [{'mal_croppe': 4673494, 'papier': 4673496, 'autre': 4673497, 'film_plastique': 4673498, 'carton': 4673500, 'aluminium': 4673501, 'pet_fonce': 4673502, 'pet_clair': 4673503, 'metal': 4673504, 'barquette_avec_film': 4673505, 'pehd': 4673506, 'bouchon': 4673507, 'etiquette': 4673508, 'environnement': 4709559}]}
 args : 4709558
 depend.output_id : 0
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :3, first value : ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349), '0.009511382621534484')
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546, 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467}
map_photo_id_path_extension : {1057289546: {'path': 'temp/1738464429_2241491_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}, 1057289467: {'path': 'temp/1738464429_2241491_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
dans la step send mail cod
work_area:  /home/admin
in order to get the selector url, please entre the license of selector
results_COD_P4709558_02-02-2025_03_48_31.pdf
4673494

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673494  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057570975: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225448_0.png', 1057570987: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225431_0.png', 1057574154: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251857_0.png', 1057582163: '1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208357088_0.png', 1057582173: '1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208357090_0.png', 1057582191: '1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357166_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/260f36868ad8639bfe08539d97670294_60697461.png
change filename to text
.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/74c0b0111a8b25e5e42edb1f66e0d424_118910.png
change filename to text
.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b0d7ef53bb89120ce0b8a74036049aae_25336551.png
change filename to text
.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ed3d00617e10a2a572e094db588a1b4c_10594461.png
change filename to text
.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/9bf1b27c92eb432655e72bca50e63901_67751791.png
change filename to text
.imagette46734941738464511/
imagette46734941738464511/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251857_0.png.png
imagette46734941738464511/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357166_0.png.png
imagette46734941738464511/1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208357090_0.png.png
imagette46734941738464511/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225431_0.png.png
imagette46734941738464511/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225448_0.png.png
imagette46734941738464511/1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208357088_0.png.png
wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c1bc91312417f9a9bdb4a199149ee0d7_68395095.png
imagette46734941738464511
4673496

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673496  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057563188: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208132943_0.png', 1057570958: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214590_0.png', 1057570959: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225368_0.png', 1057570960: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214622_0.png', 1057570965: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214598_0.png', 1057570966: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225377_0.png', 1057570967: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225392_0.png', 1057570968: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214610_0.png', 1057570977: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225422_0.png', 1057570981: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214637_0.png', 1057570982: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225426_0.png', 1057570984: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225442_0.png', 1057570985: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214652_0.png', 1057571003: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225487_0.png', 1057571004: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214684_0.png', 1057571005: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214691_0.png', 1057571006: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225459_0.png', 1057571007: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214676_0.png', 1057574076: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244016_0.png', 1057574077: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251706_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/dc768881af791a8d566486cfebab75c2_1749470.png
change filename to text
.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/fd42b578a37432482479ea01a01159d1_33342118.png
change filename to text
.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/37366fe604a1832006341a05bdd87ff9_33959399.png
change filename to text
.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/8e38678298412f206d8a49ac12150ecc_77675765.png
change filename to text
.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/19d6cd526e8f254aef888de3f0e0f689_68680265.png
change filename to text
.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/98edd3d5b95376ba63dc00717fd7bb6f_73819945.png
change filename to text
.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ac8a084fc3c0e6576ad55b7df645f65f_99363185.png
change filename to text
.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/82075e8a5acdb4bae51f4258fc04a70f_16843351.png
change filename to text
.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/5a6fdef813012c90e17149db29709975_85459157.png
change filename to text
.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a673a3b562e184bf55cb2a90ae250dcd_4174480.png
change filename to text
.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/8347bcb759da0acb2d8cd3c08c0f882b_12672194.png
change filename to text
.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3ec79ab86ec08290af890fc3345102c7_77747352.png
change filename to text
.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/12f25469e6e964d777d2ec67bbddba36_52759193.png
change filename to text
.wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ac3b17f20fc88b2f232b8f426e5fc34c_12102789.png
change filename to text
.wget -O 15.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b8fe7badbfe4a9e3af5482a96d7b6f02_66198414.png
change filename to text
.wget -O 16.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ff1b588b4526e2a37e6207dcbf8a62b1_91990872.png
change filename to text
.wget -O 17.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f4788a584b1b87a51db87b91db12830f_49210671.png
change filename to text
.wget -O 18.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/778d2281b2943b2f690964314ad11254_34230371.png
change filename to text
.wget -O 19.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f7da813c5e57e9e737fa9e8e44291abf_69527442.png
change filename to text
.imagette46734961738464512/
imagette46734961738464512/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244016_0.png.png
imagette46734961738464512/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225377_0.png.png
imagette46734961738464512/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214622_0.png.png
imagette46734961738464512/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214684_0.png.png
imagette46734961738464512/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208132943_0.png.png
imagette46734961738464512/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225422_0.png.png
imagette46734961738464512/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251706_0.png.png
imagette46734961738464512/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214676_0.png.png
imagette46734961738464512/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214590_0.png.png
imagette46734961738464512/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225368_0.png.png
imagette46734961738464512/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225487_0.png.png
imagette46734961738464512/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225392_0.png.png
imagette46734961738464512/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225442_0.png.png
imagette46734961738464512/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214637_0.png.png
imagette46734961738464512/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214691_0.png.png
imagette46734961738464512/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214598_0.png.png
imagette46734961738464512/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214652_0.png.png
imagette46734961738464512/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214610_0.png.png
imagette46734961738464512/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225426_0.png.png
imagette46734961738464512/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225459_0.png.png
wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/6212b28d168de46f1c6294bd8b60d961_90895624.png
imagette46734961738464512
4673497

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673497  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057570974: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225380_0.png', 1057570988: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214662_0.png', 1057574074: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244046_0.png', 1057574075: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251730_0.png', 1057574096: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251768_0.png', 1057574135: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244113_0.png', 1057574136: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251798_0.png', 1057574137: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251802_0.png', 1057574158: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251862_0.png', 1057574159: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208244157_0.png', 1057574169: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251865_0.png', 1057576383: '1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208269246_0.png', 1057576390: '1634827697_407544_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208269289_0.png', 1057576392: '1634827697_407544_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208267172_0.png', 1057576405: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269321_0.png', 1057576406: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269296_0.png', 1057576416: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269334_0.png', 1057576418: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269297_0.png', 1057576424: '1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269345_0.png', 1057576425: '1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208267250_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/56b63b142fc021592b45e2ffb2d9fb73_87430553.png
change filename to text
.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/bdb53607e396a709749146495b5e83b0_87115423.png
change filename to text
.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c69016b3777c97bc1b95844a22d5e2b5_29844601.png
change filename to text
.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/1d547085c2252a063c797477602404c9_42054929.png
change filename to text
.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/af68e6cb843eb19351f7ee5a0746f113_62789911.png
change filename to text
.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c449a54e1f6c074a214ef183d832255a_93803103.png
change filename to text
.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/7e027bf8bf77dfeb0879242ac73fd5a7_96634347.png
change filename to text
.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/21accb9eb6250f27be14227d54ff1eb7_23373001.png
change filename to text
.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/89983e4cb4da1d543239e6fbf932af6b_49375699.png
change filename to text
.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/916e7810af3e64973872cfeb5683f4d2_23439207.png
change filename to text
.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ec66918522463094aca9064fe3f8e4af_67320871.png
change filename to text
.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a1c3ee7692c20b1494d84a38e12ad510_69327578.png
change filename to text
.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f1373b6ae47518d8c821d5acd404e67e_6933585.png
change filename to text
.wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/e536710929386214dcbc912f426b7479_60142785.png
change filename to text
.wget -O 15.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f15093cc4c79b389b5f664815033d8a6_34332161.png
change filename to text
.wget -O 16.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/96f0edba08a4b4a2df9af33f9cb8b671_98677308.png
change filename to text
.wget -O 17.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/6c7524f44a6d893ddebcc429aefb2838_17957287.png
change filename to text
.wget -O 18.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a42e0e0ace388a50d1f7ef286ebe576e_37610968.png
change filename to text
.wget -O 19.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ff18d6f86eea0e0455cd7336810915ee_66459011.png
change filename to text
.imagette46734971738464513/
imagette46734971738464513/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269321_0.png.png
imagette46734971738464513/1634827697_407544_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208267172_0.png.png
imagette46734971738464513/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251730_0.png.png
imagette46734971738464513/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251862_0.png.png
imagette46734971738464513/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251865_0.png.png
imagette46734971738464513/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244113_0.png.png
imagette46734971738464513/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269334_0.png.png
imagette46734971738464513/1634827697_407544_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208269289_0.png.png
imagette46734971738464513/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269296_0.png.png
imagette46734971738464513/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251802_0.png.png
imagette46734971738464513/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251798_0.png.png
imagette46734971738464513/1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269345_0.png.png
imagette46734971738464513/1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208269246_0.png.png
imagette46734971738464513/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225380_0.png.png
imagette46734971738464513/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251768_0.png.png
imagette46734971738464513/1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208267250_0.png.png
imagette46734971738464513/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214662_0.png.png
imagette46734971738464513/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244046_0.png.png
imagette46734971738464513/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208244157_0.png.png
imagette46734971738464513/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269297_0.png.png
wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a00c7d1a2c8432a6364d68164c278304_35227740.png
imagette46734971738464513
4673498

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673498  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057570963: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214620_0.png', 1057570964: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225394_0.png', 1057570991: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225451_0.png', 1057574097: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244055_0.png', 1057574098: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251757_0.png', 1057576375: '1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208269241_0.png', 1057576376: '1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208267146_0.png', 1057576408: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208267205_0.png', 1057582138: '1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208356978_0.png', 1057582139: '1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208355531_0.png', 1057582166: '1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208355608_0.png', 1057582190: '1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357152_0.png', 1057582192: '1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208355683_0.png', 1057632392: '1634847099_952197_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208555525_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/cc278c36f86af3345934162953249fd1_2706330.png
change filename to text
.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/74d3a151e2773eb4d6ccb2a3fe8baf96_75025292.png
change filename to text
.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/2d55fda3b650351c291c5d542349d5da_97358446.png
change filename to text
.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f483aaeaa7e3e8c2540219413922a967_40191638.png
change filename to text
.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/12928408b61322ad9e6c2fbd49234cb0_44090343.png
change filename to text
.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/876136909d0101fd27d749c8d722f3ce_97958763.png
change filename to text
.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/d4d6b00e7d2e5b047cff3d1791f16685_3122747.png
change filename to text
.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/360a6759b720b0d1911741a34b50b2e9_71948049.png
change filename to text
.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/8c4f3943a1299e35b3e5026edf798404_54239833.png
change filename to text
.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/201c56fd7a3c61a4ec27c6113aa314cf_22732231.png
change filename to text
.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ac2a3ad76079b7f6ea40225ec0b9517d_53326661.png
change filename to text
.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/74f261551f75ba548de2c59b0a91059f_82401762.png
change filename to text
.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/efb3fd6e36f94fe4eb3e266347e3af2d_68231292.png
change filename to text
.imagette46734981738464515/
imagette46734981738464515/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208355683_0.png.png
imagette46734981738464515/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208267205_0.png.png
imagette46734981738464515/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225394_0.png.png
imagette46734981738464515/1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208356978_0.png.png
imagette46734981738464515/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251757_0.png.png
imagette46734981738464515/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214620_0.png.png
imagette46734981738464515/1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208355608_0.png.png
imagette46734981738464515/1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208267146_0.png.png
imagette46734981738464515/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244055_0.png.png
imagette46734981738464515/1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208355531_0.png.png
imagette46734981738464515/1634847099_952197_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208555525_0.png.png
imagette46734981738464515/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225451_0.png.png
imagette46734981738464515/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357152_0.png.png
imagette46734981738464515/1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208269241_0.png.png
wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f570aad44611f3421897ccd23ef75523_48559113.png
imagette46734981738464515
4673500

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673500  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057574091: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251765_0.png', 1057574092: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244068_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ec55449e5491598066251ba43d8ff5b5_49204074.png
change filename to text
.imagette46735001738464517/
imagette46735001738464517/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244068_0.png.png
imagette46735001738464517/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251765_0.png.png
wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/114f7f7115589424559ae6c2873adb29_25954215.png
imagette46735001738464517
4673501

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673501  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057576423: '1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269364_0.png'}
change filename to text
.imagette46735011738464517/
imagette46735011738464517/1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269364_0.png.png
imagette46735021738464517/
wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b8f11e2d4082d97201c583f79c001cb4_46151338.png
imagette46735011738464517
4673502

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673502  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {}
imagette46735021738464517
4673503

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673503  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057563189: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133134_0.png', 1057563190: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133122_0.png', 1057563191: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133133_0.png', 1057563192: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208132944_0.png', 1057570971: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225403_0.png', 1057570973: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225401_0.png', 1057570989: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225479_0.png', 1057570990: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214696_0.png', 1057570992: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225483_0.png', 1057570998: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225462_0.png', 1057570999: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214682_0.png', 1057571000: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225492_0.png', 1057571001: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214689_0.png', 1057574083: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251710_0.png', 1057574084: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244022_0.png', 1057574085: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244031_0.png', 1057574087: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251728_0.png', 1057574088: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244040_0.png', 1057574089: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244042_0.png', 1057574093: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251769_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/97d395946ab922658bfff3f527366008_90017065.png
change filename to text
.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/23f57c437d2b2d1d9007ae5801d87c30_88364048.png
change filename to text
.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/853f151ea4323afd17d8d99d455e13c8_8373503.png
change filename to text
.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f50ae983d3b612ed46c0013da35d453c_66959063.png
change filename to text
.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/55e2f3389322c69bc4dfa34508417775_36773929.png
change filename to text
.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3a73a1036f1a6f13681b9215d5b5e240_71488194.png
change filename to text
.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/03d75be4de20c2734667893c6d42db7a_68314991.png
change filename to text
.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/0adb42bf3f39a97de263e592a9d20e24_98494619.png
change filename to text
.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c258a5634fecd25693eb2dbe9ab0de0a_69807007.png
change filename to text
.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/05f9c7907ad310c7dfcf65802a9f0447_11605693.png
change filename to text
.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/d8f3834b95b6c8e54713e90bdd68fca1_23557804.png
change filename to text
.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/68e22347573daba546b87cd908aa1717_40183792.png
change filename to text
.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/7643aeb82c1a0bc5bf040243f56a772a_79948262.png
change filename to text
.wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/d06680e3cc5fb28ef74b2ee2aa9ffe03_46605634.png
change filename to text
.wget -O 15.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/7f1cf536fca32c35cccc55aa9650d295_53876151.png
change filename to text
.wget -O 16.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b9353940500d4f8569fb79849bde4147_70407709.png
change filename to text
.wget -O 17.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/851b68a752b3b3482b32e4c21a2ab812_31921638.png
change filename to text
.wget -O 18.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/bf01936172e3a670b5acb02c7686a080_81738844.png
change filename to text
.wget -O 19.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/bb972af183a20326bf23716e4673abc1_83873158.png
change filename to text
.imagette46735031738464517/
imagette46735031738464517/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244022_0.png.png
imagette46735031738464517/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251710_0.png.png
imagette46735031738464517/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208132944_0.png.png
imagette46735031738464517/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225492_0.png.png
imagette46735031738464517/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251769_0.png.png
imagette46735031738464517/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133133_0.png.png
imagette46735031738464517/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214689_0.png.png
imagette46735031738464517/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244031_0.png.png
imagette46735031738464517/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225479_0.png.png
imagette46735031738464517/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244040_0.png.png
imagette46735031738464517/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251728_0.png.png
imagette46735031738464517/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244042_0.png.png
imagette46735031738464517/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225462_0.png.png
imagette46735031738464517/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225403_0.png.png
imagette46735031738464517/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133122_0.png.png
imagette46735031738464517/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225483_0.png.png
imagette46735031738464517/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214682_0.png.png
imagette46735031738464517/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225401_0.png.png
imagette46735031738464517/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214696_0.png.png
imagette46735031738464517/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133134_0.png.png
imagette46735041738464519/
imagette46735051738464519/
wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/fce888444ab6590ab8a37cbe3a106c17_45693026.png
imagette46735031738464517
4673504

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673504  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {}
imagette46735041738464519
4673505

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673505  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {}
imagette46735051738464519
4673506

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673506  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057570969: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225396_0.png', 1057570994: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214665_0.png', 1057570995: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225449_0.png', 1057574117: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251788_0.png', 1057574131: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251799_0.png', 1057574132: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244116_0.png', 1057574133: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251778_0.png', 1057574134: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244088_0.png', 1057574155: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251856_0.png', 1057574165: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251841_0.png', 1057574166: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208244133_0.png', 1057582181: '1634829704_286060_1057555395_0c18a4546be7d1e86d74113e392ddd2c_rle_crop_2208357131_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3631abe9ec4ecaa83ee17153a66b5d40_40177555.png
change filename to text
.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ec5622b34f9a4ee1bb672814c568bab5_6735159.png
change filename to text
.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/51fac4b952b1b87c735b13d74c6ed3d4_61311496.png
change filename to text
.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c35526cb8791e02fce3d4324c09a542a_81152221.png
change filename to text
.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/57c3c889f555779955e01d01c999136b_46657843.png
change filename to text
.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/0abe3d33791a3e241d8c3106f2885283_20579759.png
change filename to text
.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/1ea3bd61da85bfcd12f577cbd0d916ce_3826840.png
change filename to text
.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b9364a9cdb865efaa2bd074722d40f56_49585782.png
change filename to text
.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ea1ec9471cd6daf73739f0b044450664_9333895.png
change filename to text
.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/9354afa37afdf8c3ee11e2c0935382b7_28167609.png
change filename to text
.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/920a7703891671e14e12980c8d87c813_84100760.png
change filename to text
.imagette46735061738464519/
imagette46735061738464519/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208244133_0.png.png
imagette46735061738464519/1634829704_286060_1057555395_0c18a4546be7d1e86d74113e392ddd2c_rle_crop_2208357131_0.png.png
imagette46735061738464519/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251841_0.png.png
imagette46735061738464519/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244088_0.png.png
imagette46735061738464519/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225449_0.png.png
imagette46735061738464519/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225396_0.png.png
imagette46735061738464519/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251856_0.png.png
imagette46735061738464519/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251799_0.png.png
imagette46735061738464519/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214665_0.png.png
imagette46735061738464519/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251778_0.png.png
imagette46735061738464519/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244116_0.png.png
imagette46735061738464519/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251788_0.png.png
wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/fb6a7d128ecfee65834b66ca3c1e6cfc_66615736.png
imagette46735061738464519
4673507

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673507  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057457388: '1634762204_45572_1057313055_f53e7d8a8afe308122ceb6b5ec0a1de3_rle_crop_2207764178_0.png', 1057463440: '1634764421_49662_1056707654_ade2052a6e383cf2b4a7ea79094207d1_rle_crop_2207788576_0.png', 1057570268: '1634824063_276557_1057543804_120fc91b5aac6b9e76236a2222f66ec3_rle_crop_2208219390_0.png', 1057570417: '1634824063_276557_1057543793_d871c28f7b64bceb85d0d4bccd88cb77_rle_crop_2208219708_0.png', 1057570431: '1634824063_276557_1057543792_ec15c711dc664131ffdedbf088aff8d6_rle_crop_2208219764_0.png', 1057570432: '1634824063_276557_1057543792_ec15c711dc664131ffdedbf088aff8d6_rle_crop_2208219741_0.png', 1057571011: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225484_0.png', 1057573142: '1634825381_278586_1057514246_28ac58a180069805c59b7834e78da25a_rle_crop_2208242236_0.png', 1057573356: '1634825381_278586_1057514168_75e744aa5338b08b6e89864ae77dc0fe_rle_crop_2208242768_0.png', 1057574626: '1634825502_278952_1057536163_0362527670d279898b61ee989afb1348_rle_crop_2208247599_0.png', 1057584527: '1634830181_287550_1057535438_7155eafccbbc44846943c6b2a5ed53c9_rle_crop_2208368590_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/726059e4ec2c4b6a603df9013757a45e_78455552.png
change filename to text
.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/9a51b4f18e6f308166a0ce4c447583fa_45829562.png
change filename to text
.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/5ea9c489414347fb6daf7ee6e2b36361_46913018.png
change filename to text
.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c81ef57d842bbd056da54c7845944cea_30526420.png
change filename to text
.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/593bd6d7fe84def81cfc83aa1c5ef1ea_38151693.png
change filename to text
.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/2dcd47fd7fec53def169b6b9fdce15c7_99116289.png
change filename to text
.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/0da1e3cded4395987e9b3fe4392a353d_76951827.png
change filename to text
.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/77d2d9dafdfc5797f4685baf33ff6bae_88934429.png
change filename to text
.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/87351efc78167408428344abfb822284_19135017.png
change filename to text
.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3bd9596ad468aca91fa8a693c53c81ac_59271329.png
change filename to text
.imagette46735071738464520/
imagette46735071738464520/1634824063_276557_1057543804_120fc91b5aac6b9e76236a2222f66ec3_rle_crop_2208219390_0.png.png
imagette46735071738464520/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225484_0.png.png
imagette46735071738464520/1634825381_278586_1057514246_28ac58a180069805c59b7834e78da25a_rle_crop_2208242236_0.png.png
imagette46735071738464520/1634824063_276557_1057543792_ec15c711dc664131ffdedbf088aff8d6_rle_crop_2208219741_0.png.png
imagette46735071738464520/1634764421_49662_1056707654_ade2052a6e383cf2b4a7ea79094207d1_rle_crop_2207788576_0.png.png
imagette46735071738464520/1634825502_278952_1057536163_0362527670d279898b61ee989afb1348_rle_crop_2208247599_0.png.png
imagette46735071738464520/1634825381_278586_1057514168_75e744aa5338b08b6e89864ae77dc0fe_rle_crop_2208242768_0.png.png
imagette46735071738464520/1634824063_276557_1057543793_d871c28f7b64bceb85d0d4bccd88cb77_rle_crop_2208219708_0.png.png
imagette46735071738464520/1634824063_276557_1057543792_ec15c711dc664131ffdedbf088aff8d6_rle_crop_2208219764_0.png.png
imagette46735071738464520/1634762204_45572_1057313055_f53e7d8a8afe308122ceb6b5ec0a1de3_rle_crop_2207764178_0.png.png
imagette46735071738464520/1634830181_287550_1057535438_7155eafccbbc44846943c6b2a5ed53c9_rle_crop_2208368590_0.png.png
wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/389954bb38bc27251eece2b33af59521_57972729.png
imagette46735071738464520
4673508

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673508  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057073029: '1634631694_3395528_1056952118_a446055cc0ecd61f8f14c52ac97c65f1_rle_crop_2205767654_0.png', 1057073040: '1634631694_3395528_1056952118_a446055cc0ecd61f8f14c52ac97c65f1_rle_crop_2205771210_0.png', 1057221288: '1634682881_3635026_1056707572_0c04c0833ab2f73176de371f15fba10e_rle_crop_2206539248_0.png', 1057222012: '1634682959_2036712_1056952808_74d76831dec2e88b98e1ee956313098b_rle_crop_2206541136_0.png', 1057223450: '1634683377_2041713_1057076305_4d69819ec75835240e00e59f39b9d840_rle_crop_2206547298_0.png', 1057225324: '1634683799_2045935_1057113099_0d8b621cf424d90e6d970906bf99832d_rle_crop_2206561526_0.png', 1057227849: '1634684217_2050928_1057113112_2807e7023003a0b407ee4f6c7a675b3f_rle_crop_2206580543_0.png', 1057294428: '1634708200_3775898_1057289617_d1c97dad6cbc0afcc8e46623680fcb1e_rle_crop_2206951950_0.png', 1057294430: '1634708200_3775898_1057289617_d1c97dad6cbc0afcc8e46623680fcb1e_rle_crop_2206950411_0.png', 1057294479: '1634708200_3775898_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd_rle_crop_2206952033_0.png', 1057294492: '1634708200_3775898_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd_rle_crop_2206950498_0.png', 1057294584: '1634708200_3775898_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc_rle_crop_2206952156_0.png', 1057294586: '1634708200_3775898_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc_rle_crop_2206950612_0.png', 1057299396: '1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977301_0.png', 1057299399: '1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977297_0.png', 1057299402: '1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977314_0.png', 1057299505: '1634710122_3781798_1057293492_b327ac003c6c0263a2c7b2914895b189_rle_crop_2206975814_0.png', 1057300117: '1634710001_3781530_1057289922_8ca687a143d2ccb48fc21710ef287f96_rle_crop_2206974559_0.png', 1057300166: '1634710001_3781530_1057289771_6650bcb078dc46bca71773fb4969dca3_rle_crop_2206978161_0.png', 1057300170: '1634710001_3781530_1057289771_6650bcb078dc46bca71773fb4969dca3_rle_crop_2206978156_0.png'}
change filename to text
.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/19/a4a07b0b9a727ea4ef64597381eebb3e_90322634.png
change filename to text
.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/19/e35a158c36c587e636e37364dd1e5082_53822321.png
change filename to text
.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/7693f1465b4e553901d2e4a24014361d_7933217.png
change filename to text
.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/10e61026e58f36ba4b47f24d34bf2ea3_77841671.png
change filename to text
.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/7dcc6fcaee9bad03f9bb65135d1bf759_39011319.png
change filename to text
.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/50d5073ff0eeda46479164ee51af9756_40151641.png
change filename to text
.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/03cc114bc6b745dfa98df827b983f421_13403525.png
change filename to text
.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/6755719a9cb23e89aa477794bbf78831_98203054.png
change filename to text
.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/f2de11f1fd97599a20d6e2cca31bfdff_32274146.png
change filename to text
.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/1e84fefd777da2d8c8f947a2b1364aed_23141215.png
change filename to text
.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/d84c22c4274f6cd51a61f0632adafcb7_27678847.png
change filename to text
.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/0497efd2f470f11b8f0e3ca18919c662_91528093.png
change filename to text
.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/208cf8bb4b4ed4c2d568884739ca0876_58844779.png
change filename to text
.wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/71e7f673a6bf94e824f9c17afbfa38f2_99308195.png
change filename to text
.wget -O 15.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/b260cb7f62aa98dff478f02efa362608_4960952.png
change filename to text
.wget -O 16.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/cce73ea9720f285681de9a25bcb33891_98982975.png
change filename to text
.wget -O 17.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/b2201a0c4fed112acdf45171e0b2d793_22876674.png
change filename to text
.wget -O 18.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/e11c3826f59729f548d6fe6f8c9e057a_98598546.png
change filename to text
.wget -O 19.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/87172e9ffd623a5527bbd10b9305e814_8155331.png
change filename to text
.imagette46735081738464521/
imagette46735081738464521/1634684217_2050928_1057113112_2807e7023003a0b407ee4f6c7a675b3f_rle_crop_2206580543_0.png.png
imagette46735081738464521/1634708200_3775898_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc_rle_crop_2206950612_0.png.png
imagette46735081738464521/1634710122_3781798_1057293492_b327ac003c6c0263a2c7b2914895b189_rle_crop_2206975814_0.png.png
imagette46735081738464521/1634708200_3775898_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd_rle_crop_2206950498_0.png.png
imagette46735081738464521/1634708200_3775898_1057289617_d1c97dad6cbc0afcc8e46623680fcb1e_rle_crop_2206950411_0.png.png
imagette46735081738464521/1634710001_3781530_1057289922_8ca687a143d2ccb48fc21710ef287f96_rle_crop_2206974559_0.png.png
imagette46735081738464521/1634708200_3775898_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc_rle_crop_2206952156_0.png.png
imagette46735081738464521/1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977314_0.png.png
imagette46735081738464521/1634683799_2045935_1057113099_0d8b621cf424d90e6d970906bf99832d_rle_crop_2206561526_0.png.png
imagette46735081738464521/1634683377_2041713_1057076305_4d69819ec75835240e00e59f39b9d840_rle_crop_2206547298_0.png.png
imagette46735081738464521/1634682881_3635026_1056707572_0c04c0833ab2f73176de371f15fba10e_rle_crop_2206539248_0.png.png
imagette46735081738464521/1634631694_3395528_1056952118_a446055cc0ecd61f8f14c52ac97c65f1_rle_crop_2205771210_0.png.png
imagette46735081738464521/1634708200_3775898_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd_rle_crop_2206952033_0.png.png
imagette46735081738464521/1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977297_0.png.png
imagette46735081738464521/1634710001_3781530_1057289771_6650bcb078dc46bca71773fb4969dca3_rle_crop_2206978161_0.png.png
imagette46735081738464521/1634631694_3395528_1056952118_a446055cc0ecd61f8f14c52ac97c65f1_rle_crop_2205767654_0.png.png
imagette46735081738464521/1634682959_2036712_1056952808_74d76831dec2e88b98e1ee956313098b_rle_crop_2206541136_0.png.png
imagette46735081738464521/1634710001_3781530_1057289771_6650bcb078dc46bca71773fb4969dca3_rle_crop_2206978156_0.png.png
imagette46735081738464521/1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977301_0.png.png
imagette46735081738464521/1634708200_3775898_1057289617_d1c97dad6cbc0afcc8e46623680fcb1e_rle_crop_2206951950_0.png.png
wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/4d18b7999afe7e8a0635d85de16673f8_61431692.png
imagette46735081738464521
velour_link :  


ce batch n'est pas dans un dashboard, on n'envoi pas de mail. si vous voulez quand même des mail , veuillez configurer no_mail = 2


args[1057289546] : ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349), '0.009511382621534484')
We are sending mail with results at marine@fotonower.com
args[1057289467] : ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774), '0.009511382621534484')
We are sending mail with results at marine@fotonower.com
refus_total : 0.009511382621534484

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4709558  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 1000
current_id not found list index out of range
start upload file to ovh
https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_02-02-2025_03_48_31.pdf
results_COD_P4709558_02-02-2025_03_48_31.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_02-02-2025_03_48_31.pdf
start insert file to database

                insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value)
                values ('3818','4709558','results_COD_P4709558_02-02-2025_03_48_31.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_02-02-2025_03_48_31.pdf','pdf','','0.48','0.009511382621534484') 
                

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 13.86402416229248
time spend to save output : 6.890296936035156e-05
total time spend for step 8 : 13.86409306526184

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 8
 output : 

    SELECT value FROM MTRUser.portfolio_carac_ratio WHERE portfolio_id = 4709558 AND hashtag_type = 4016 ORDER BY hashtag_id;
    
fin du test de rym_consolidate

############################### TEST generate_new_image_add_crop  ################################
test_generate_new_image_add_crop

    DELETE FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id = 4789106
    

    DELETE FROM MTRPhoto.crop_hashtag_ids WHERE type = 4086
    
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3870

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3870
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3870
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3870
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : generate_new_image
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4789595) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4789595)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1057314774, 'portfolio_id': 4789595}, {'photo_id': 1057314768, 'portfolio_id': 4789595}, {'photo_id': 1057314766, 'portfolio_id': 4789595}]
 map_portfolio_id_photo_id: {4789595: [1057314774, 1057314768, 1057314766]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1057314774
begin to download photo : 1057314768
begin to download photo : 1057314766
download finish for photo 1057314766
download finish for photo 1057314768
download finish for photo 1057314774
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 3 ; length of list_pids : 3 ; length of list_args : 3
##### After load_data_input 
time to download the photos : 0.5190730094909668
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:generate_new_image
Sun Feb  2 03:48:48 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464528_2241491_1057314766_850e771a4800ad0a89e4fec977bcfedd_29707587.jpg': 1057314766, 'temp/1738464528_2241491_1057314768_3b6c8b2738f519f078355064487ef55f_72134828.jpg': 1057314768, 'temp/1738464528_2241491_1057314774_6bab7ce0e063fda7d35a74c0adf7f25b_17612544.jpg': 1057314774}
map_photo_id_path_extension : {1057314766: {'path': 'temp/1738464528_2241491_1057314766_850e771a4800ad0a89e4fec977bcfedd_29707587.jpg', 'extension': 'jpg'}, 1057314768: {'path': 'temp/1738464528_2241491_1057314768_3b6c8b2738f519f078355064487ef55f_72134828.jpg', 'extension': 'jpg'}, 1057314774: {'path': 'temp/1738464528_2241491_1057314774_6bab7ce0e063fda7d35a74c0adf7f25b_17612544.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4789595 ORDER BY ph.size desc
select id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057314766,1057314768,1057314774) and `type` in (4021) 

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4789595) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 1000000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4789595)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 1000000
 list_result: [{'photo_id': 1057314774, 'portfolio_id': 4789595}, {'photo_id': 1057314768, 'portfolio_id': 4789595}, {'photo_id': 1057314766, 'portfolio_id': 4789595}]
 map_portfolio_id_photo_id: {4789595: [1057314774, 1057314768, 1057314766]}
we need 3 photos
there is already 3 photos exist in our local_cache
we have to download 0 photos
we have successful downloaded 0 photos
there are 0 photos missing
finally, we can get 3 photo needed from our local_cache
list of photo_id_missing : 
[]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where id in (2208326717,2208326712)
Loaded 2 chid ids of type : 4021
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2208326712,2208326717)
++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2208326712,2208326717)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2208326712,2208326717)

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1057314766,1057314768) 
 Found this number of photos: 2
we need 2 photos
there is already 2 photos exist in our local_cache
we have to download 0 photos
we have successful downloaded 0 photos
there are 0 photos missing
finally, we can get 2 photo needed from our local_cache
list of photo_id_missing : 
[]
begin to treate photo :1057314774
add chi : 2208326717 , rotate : 38
(898, 898)
(529, 825, 234, 643)
(409, 296, 3)
(409, 296)
(898, 898, 3)

time for calcul the mask position with numpy : 0.011301279067993164
nb_pixel_total : 80909
time to create 1 rle with old method : 0.09749221801757812
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057314774) and `type` in (4021) 
Loaded 0 chid ids of type : 0
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in ()
time for calcul the mask position with numpy : 0.0018994808197021484
nb_pixel_total : 80909
time to create 1 rle with old method : 0.08936071395874023
begin to treate photo :1057314768
add chi : 2208326717 , rotate : 96
(703, 703)
(304, 663, 387, 690)
(303, 359, 3)
(303, 359)
(703, 703, 3)

time for calcul the mask position with numpy : 0.003082275390625
nb_pixel_total : 80903
time to create 1 rle with old method : 0.10210752487182617
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057314768) and `type` in (4021) 
Loaded 2 chid ids of type : 4021
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2208326718,2208326717)
++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2208326718,2208326717)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2208326718,2208326717)
time for calcul the mask position with numpy : 0.0021305084228515625
nb_pixel_total : 80694
time to create 1 rle with old method : 0.09298872947692871
time for calcul the mask position with numpy : 0.0018434524536132812
nb_pixel_total : 80903
time to create 1 rle with old method : 0.08825254440307617
time for calcul the mask position with numpy : 0.0013995170593261719
nb_pixel_total : 8099
time to create 1 rle with old method : 0.008752107620239258
begin to treate photo :1057314766
add chi : 2208326712 , rotate : 12
(759, 759)
(128, 464, 140, 687)
(547, 336, 3)
(547, 336)
(759, 759, 3)

time for calcul the mask position with numpy : 0.0027434825897216797
nb_pixel_total : 98276
time to create 1 rle with old method : 0.11815953254699707
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057314766) and `type` in (4021) 
Loaded 3 chid ids of type : 4021
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2208326711,2208326712,2208326713)
+++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2208326711,2208326712,2208326713)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2208326711,2208326712,2208326713)
time for calcul the mask position with numpy : 0.0017704963684082031
nb_pixel_total : 65325
time to create 1 rle with old method : 0.07837510108947754
time for calcul the mask position with numpy : 0.0018010139465332031
nb_pixel_total : 98276
time to create 1 rle with old method : 0.11119580268859863
time for calcul the mask position with numpy : 0.002111196517944336
nb_pixel_total : 84943
time to create 1 rle with old method : 0.09284234046936035
init cache_photo without model_param  
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1738464531_2241491
we have uploaded 1 photos in the portfolio 4789106
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 1 chid ids of type : 4086
Number RLEs to save : 414
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649481594', '438', '134', '2')
...
 last line : ('3649481594', '441', '542', '7')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1738464532_2241491
we have uploaded 1 photos in the portfolio 4789106
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 3 chid ids of type : 4086
Number RLEs to save : 713
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649481595', '380', '0', '156')
...
 last line : ('3649481597', '13', '639', '352')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1738464533_2241491
we have uploaded 1 photos in the portfolio 4789106
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 3 chid ids of type : 4086
Number RLEs to save : 1582
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649481598', '0', '4', '1')
...
 last line : ('3649481600', '189', '639', '110')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'NoneType'>

time spend for datou_step_exec : 6.104545831680298
time spend to save output : 9.274482727050781e-05
total time spend for step 1 : 6.104638576507568

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : None

    SELECT * FROM MTRPhoto.crop_hashtag_ids where photo_id in (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id = 4789106) and type = 4086
    
nombre de crop attendu : 8, nombre de crop obtenu :  7
fin du test de generate_new_image
ERROR generate_new_image_add_crop FAILED

############################### TEST velours_tree  ################################
test velours_tree
- Retrieving photos to tag...
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4837217 ORDER BY ph.size desc
- Loading descriptors...
Size : 512
 len(descriptors) : 5
Compute structured hierarchical clustering...
 ward : AgglomerativeClustering(n_clusters=5)
 ward.labels_ : [4 3 2 1 0]
Elapsed time:  0.025218486785888672
 graph_id used : 1145
- Beta version, working pretty good on 11-5-16 !
fin du test de velours_tree

############################### TEST step ACP  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4208

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4208
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4208
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4208
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : acp
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5709050) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5709050)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1069306967, 'portfolio_id': 5709050}, {'photo_id': 1069306964, 'portfolio_id': 5709050}, {'photo_id': 1069306954, 'portfolio_id': 5709050}, {'photo_id': 1069306844, 'portfolio_id': 5709050}, {'photo_id': 1069306843, 'portfolio_id': 5709050}, {'photo_id': 1069306841, 'portfolio_id': 5709050}, {'photo_id': 1069306815, 'portfolio_id': 5709050}, {'photo_id': 1069306805, 'portfolio_id': 5709050}, {'photo_id': 1069306710, 'portfolio_id': 5709050}, {'photo_id': 1069306708, 'portfolio_id': 5709050}]
 map_portfolio_id_photo_id: {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.018062829971313477
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:acp
Sun Feb  2 03:48:57 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
Cette step permet de calculer une ACP.
ATTENTION : le size etait trop grand : 20, on a changé sa valeur à : 9
SELECT id FROM MTRPhoto.photo_desc_type_params where name = 'ACP_from_type_5619_size_9';
find save_photo_desc_type : 5705
On sauvegarde les nouveaux descripteurs dans le photo desc type : 5705
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (5705)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5705, 'ACP_from_type_5619_size_9', 9, 9, 'ACP_from_type_5619_size_9', None, 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2022, 6, 16, 11, 6, 15), None)
(10, 9)
Got the blobs of the net
 to insert :  
[255, 0, 0, 0, 0, 8, 20, 3, 5]
code_as_byte_string:b'c3bf000000'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 0, 34, 179]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 6, 0, 0, 0, 0, 0, 138, 0]
code_as_byte_string:b'0006000000'|
Got the blobs of the net
 to insert :  
[0, 108, 0, 0, 0, 196, 62, 0, 0]
code_as_byte_string:b'006c000000'|
Got the blobs of the net
 to insert :  
[0, 52, 0, 237, 64, 61, 115, 122, 0]
code_as_byte_string:b'003400c3ad'|
Got the blobs of the net
 to insert :  
[0, 0, 45, 0, 249, 0, 0, 0, 0]
code_as_byte_string:b'00002d00c3'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 134, 0, 84, 0, 0, 0]
code_as_byte_string:b'000000c286'|
Got the blobs of the net
 to insert :  
[20, 131, 255, 31, 0, 0, 0, 0, 0]
code_as_byte_string:b'14c283c3bf'|
Got the blobs of the net
 to insert :  
[6, 255, 0, 88, 26, 0, 0, 0, 31]
code_as_byte_string:b'06c3bf0058'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 171, 0, 0]
code_as_byte_string:b'0000000000'|
time to traite the descriptors :  0.0005724430084228516
Testing : ['1069306708', '1069306710', '1069306805', '1069306815', '1069306841', '1069306843', '1069306844', '1069306954', '1069306964', '1069306967']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (1069306708,1069306710,1069306805,1069306815,1069306841,1069306843,1069306844,1069306954,1069306964,1069306967) 
result : {1069306708: {'photo_id': 1069306708, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/7eba568f0aa961284ede154354a8b509.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_33_10134.jpg'}, 1069306710: {'photo_id': 1069306710, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/fe3d201fbfd00dfcd98aa3625d2cfe6a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_43_10066.jpg'}, 1069306805: {'photo_id': 1069306805, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/42a49f97933b37a87ca53e38379f29b0.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_53_9809.jpg'}, 1069306815: {'photo_id': 1069306815, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/2f5091223d1b3946ee6eb8576faac354.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_03_10054.jpg'}, 1069306841: {'photo_id': 1069306841, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/547760f05364a61b63ad9db90d0b0dec.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_13_10036.jpg'}, 1069306843: {'photo_id': 1069306843, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/5d2b7a6367578e8ac1382d2a1a0bba36.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_23_10032.jpg'}, 1069306844: {'photo_id': 1069306844, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/5b215fd7500b354740ce88c56edeaf99.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_33_10008.jpg'}, 1069306954: {'photo_id': 1069306954, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/2019d5d809e04d2e01c269b108974cd3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_03_9803.jpg'}, 1069306964: {'photo_id': 1069306964, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/d58c1cb31781763bc3bb045dfac967c3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_13_10051.jpg'}, 1069306967: {'photo_id': 1069306967, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/642d8a900dd65f94ea75eb2a9d95b7dd.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_23_10019.jpg'}}
list_photo_exists : [1069306708, 1069306710, 1069306805, 1069306815, 1069306841, 1069306843, 1069306844, 1069306954, 1069306964, 1069306967]
storage_type for insertDescriptorsMulti : 3
Missing photo l117 : 1069306708
Missing photo l117 : 1069306710
Missing photo l117 : 1069306805
Missing photo l117 : 1069306815
Missing photo l117 : 1069306841
Missing photo l117 : 1069306843
Missing photo l117 : 1069306844
Missing photo l117 : 1069306954
Missing photo l117 : 1069306964
Missing photo l117 : 1069306967
To insert : 1069306708
To insert : 1069306710
To insert : 1069306805
To insert : 1069306815
To insert : 1069306841
To insert : 1069306843
To insert : 1069306844
To insert : 1069306954
To insert : 1069306964
To insert : 1069306967
time to insert the descriptors : 2.842006206512451
res : {'1069306708': b'\xc3\xbf\x00\x00\x00\x00\x08\x14\x03\x05', '1069306710': b'\x00\x00\x00\x00\x00\x00\x00"\xc2\xb3', '1069306805': b'\x00\x06\x00\x00\x00\x00\x00\xc2\x8a\x00', '1069306815': b'\x00l\x00\x00\x00\xc3\x84>\x00\x00', '1069306841': b'\x004\x00\xc3\xad@=sz\x00', '1069306843': b'\x00\x00-\x00\xc3\xb9\x00\x00\x00\x00', '1069306844': b'\x00\x00\x00\xc2\x86\x00T\x00\x00\x00', '1069306954': b'\x14\xc2\x83\xc3\xbf\x1f\x00\x00\x00\x00\x00', '1069306964': b'\x06\xc3\xbf\x00X\x1a\x00\x00\x00\x1f', '1069306967': b'\x00\x00\x00\x00\x00\x00\xc2\xab\x00\x00'}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 3.970756769180298
time spend to save output : 0.00013327598571777344
total time spend for step 1 : 3.9708900451660156

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : acp we use saveGeneral 
[1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
 map_info['map_portfolio_photo'] : {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
 final :  True mtd_id 4208 list_pids : [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
Looping around the photos to save general results
len do output : 10
/1069306708Didn't retrieve data
.
/1069306710Didn't retrieve data
.
/1069306805Didn't retrieve data
.
/1069306815Didn't retrieve data
.
/1069306841Didn't retrieve data
.
/1069306843Didn't retrieve data
.
/1069306844Didn't retrieve data
.
/1069306954Didn't retrieve data
.
/1069306964Didn't retrieve data
.
/1069306967Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3cf77280>
Managing all output in save final without adding information in the mtr_datou_result 
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306967', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306964', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306954', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306844', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306843', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306841', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306815', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306805', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306710', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306708', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 20
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4208', '5709050', '1069306708', 'None', None, None, None, None, None), ('4208', '5709050', '1069306710', 'None', None, None, None, None, None), ('4208', '5709050', '1069306805', 'None', None, None, None, None, None), ('4208', '5709050', '1069306815', 'None', None, None, None, None, None), ('4208', '5709050', '1069306841', 'None', None, None, None, None, None), ('4208', '5709050', '1069306843', 'None', None, None, None, None, None), ('4208', '5709050', '1069306844', 'None', None, None, None, None, None), ('4208', '5709050', '1069306954', 'None', None, None, None, None, None), ('4208', '5709050', '1069306964', 'None', None, None, None, None, None), ('4208', '5709050', '1069306967', 'None', None, None, None, None, None)]
time used for this insertion : 0.02007746696472168
 save_final 

save missing photos in datou_result :
After save, about to update current !
ret : {'1069306708': b'\xc3\xbf\x00\x00\x00\x00\x08\x14\x03\x05', '1069306710': b'\x00\x00\x00\x00\x00\x00\x00"\xc2\xb3', '1069306805': b'\x00\x06\x00\x00\x00\x00\x00\xc2\x8a\x00', '1069306815': b'\x00l\x00\x00\x00\xc3\x84>\x00\x00', '1069306841': b'\x004\x00\xc3\xad@=sz\x00', '1069306843': b'\x00\x00-\x00\xc3\xb9\x00\x00\x00\x00', '1069306844': b'\x00\x00\x00\xc2\x86\x00T\x00\x00\x00', '1069306954': b'\x14\xc2\x83\xc3\xbf\x1f\x00\x00\x00\x00\x00', '1069306964': b'\x06\xc3\xbf\x00X\x1a\x00\x00\x00\x1f', '1069306967': b'\x00\x00\x00\x00\x00\x00\xc2\xab\x00\x00'}
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4209

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4209
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4209
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4209
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : acp
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5709050) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5709050)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1069306967, 'portfolio_id': 5709050}, {'photo_id': 1069306964, 'portfolio_id': 5709050}, {'photo_id': 1069306954, 'portfolio_id': 5709050}, {'photo_id': 1069306844, 'portfolio_id': 5709050}, {'photo_id': 1069306843, 'portfolio_id': 5709050}, {'photo_id': 1069306841, 'portfolio_id': 5709050}, {'photo_id': 1069306815, 'portfolio_id': 5709050}, {'photo_id': 1069306805, 'portfolio_id': 5709050}, {'photo_id': 1069306710, 'portfolio_id': 5709050}, {'photo_id': 1069306708, 'portfolio_id': 5709050}]
 map_portfolio_id_photo_id: {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.015124797821044922
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:acp
Sun Feb  2 03:49:01 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
Cette step permet de calculer une ACP.
ATTENTION : le size etait trop grand : 20, on a changé sa valeur à : 9
Sauvegarde du modèle et envoi sur OVH
Attention : /data/models_weight/ACP_from_port_5709050_type_5619_size_9 existe, son contenu risque d'être écrasé
model_param file didn't exist 
model didn't exist , save the new model in s3
local folder to save in s3 :  /data/models_weight/ACP_from_port_5709050_type_5619_size_9
update :  1738464544.2372437
done !  1738464544.3883624
{'files': [{'name': 'pca_model.pkl', 'size': 103314, 'last_modified': '2025-02-02T02:49:04.250530', 'hash': 'd7e2c6aa9a1ef592ffdfc4abe9c66263'}], 'directories': []}
Création d'un nouveau thème de classification
Le thème de classification 'ACP_from_port_5709050_type_5619_size_9' existe déjà, merci de relancer avec un nouveau nom dans les params-json.

After datou_step_exec type output : <class 'int'>

time spend for datou_step_exec : 2.5105292797088623
time spend to save output : 5.435943603515625e-05
total time spend for step 1 : 2.5105836391448975

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : acp we use saveGeneral 
[1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
 map_info['map_portfolio_photo'] : {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
 final :  True mtd_id 4209 list_pids : [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
Looping around the photos to save general results
object of type 'int' has no len()


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 10
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4209', '5709050', '1069306967', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306964', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306954', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306844', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306843', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306841', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306815', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306805', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306710', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306708', '0', '0', '-1.0', '501120777', '1.0', None)]
time used for this insertion : 0.06737065315246582
 save_final 

save missing photos in datou_result :
After save, about to update current !
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4212

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4212
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4212
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4212
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : acp
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5709050) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5709050)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1069306967, 'portfolio_id': 5709050}, {'photo_id': 1069306964, 'portfolio_id': 5709050}, {'photo_id': 1069306954, 'portfolio_id': 5709050}, {'photo_id': 1069306844, 'portfolio_id': 5709050}, {'photo_id': 1069306843, 'portfolio_id': 5709050}, {'photo_id': 1069306841, 'portfolio_id': 5709050}, {'photo_id': 1069306815, 'portfolio_id': 5709050}, {'photo_id': 1069306805, 'portfolio_id': 5709050}, {'photo_id': 1069306710, 'portfolio_id': 5709050}, {'photo_id': 1069306708, 'portfolio_id': 5709050}]
 map_portfolio_id_photo_id: {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.013156890869140625
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:acp
Sun Feb  2 03:49:04 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
Cette step permet de calculer une ACP.
To do loadFromThcl(), then load ParamDescType : thcl3412
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (3412) 
 thcls : [{'id': 3412, 'mtr_user_id': 31, 'name': 'ACP_from_port_5709050_type_5619_size_9', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '', 'svm_portfolios_learning': '0', 'photo_hashtag_type': 4398, 'photo_desc_type': 5706, 'type_classification': 'ACP', 'hashtag_id_list': '0'}]
 thcl {'id': 3412, 'mtr_user_id': 31, 'name': 'ACP_from_port_5709050_type_5619_size_9', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '', 'svm_portfolios_learning': '0', 'photo_hashtag_type': 4398, 'photo_desc_type': 5706, 'type_classification': 'ACP', 'hashtag_id_list': '0'}
 Update svm_hashtag_type_desc : 5706
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (5706)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5706, 'ACP_from_port_5709050_type_5619_size_9', 9, 9, 'ACP_from_port_5709050_type_5619_size_9', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2022, 6, 16, 11, 8, 14), datetime.datetime(2022, 6, 16, 11, 8, 14))
model_param file didn't exist 
model_name : ACP_from_port_5709050_type_5619_size_9
model_type : acp
list file need :
['pca_model.pkl']
file exist in s3 :
['pca_model.pkl']
file manque in s3 : 
[]
local folder  : /data/models_weight/ACP_from_port_5709050_type_5619_size_9


/data/models_weight/ACP_from_port_5709050_type_5619_size_9/pca_model.pkl
size_local : 103314 size in s3 : 103314
create time local : 2025-02-02 03:49:02 create time in s3 : 2025-02-02 02:49:04
pca_model.pkl already exist and didn't need to update
model_name : ACP_from_port_5709050_type_5619_size_9
On sauvegarde les nouveaux descripteurs dans le photo desc type : 5706
(10, 9)
Got the blobs of the net
 to insert :  
[255, 0, 0, 0, 0, 8, 20, 3, 5]
code_as_byte_string:b'c3bf000000'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 0, 34, 179]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 6, 0, 0, 0, 0, 0, 138, 0]
code_as_byte_string:b'0006000000'|
Got the blobs of the net
 to insert :  
[0, 108, 0, 0, 0, 196, 62, 0, 0]
code_as_byte_string:b'006c000000'|
Got the blobs of the net
 to insert :  
[0, 52, 0, 237, 64, 61, 115, 122, 0]
code_as_byte_string:b'003400c3ad'|
Got the blobs of the net
 to insert :  
[0, 0, 45, 0, 249, 0, 0, 0, 0]
code_as_byte_string:b'00002d00c3'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 134, 0, 84, 0, 0, 0]
code_as_byte_string:b'000000c286'|
Got the blobs of the net
 to insert :  
[20, 131, 255, 31, 0, 0, 0, 0, 0]
code_as_byte_string:b'14c283c3bf'|
Got the blobs of the net
 to insert :  
[6, 255, 0, 88, 26, 0, 0, 0, 31]
code_as_byte_string:b'06c3bf0058'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 171, 0, 0]
code_as_byte_string:b'0000000000'|
time to traite the descriptors :  0.00046539306640625
Testing : ['1069306708', '1069306710', '1069306805', '1069306815', '1069306841', '1069306843', '1069306844', '1069306954', '1069306964', '1069306967']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (1069306708,1069306710,1069306805,1069306815,1069306841,1069306843,1069306844,1069306954,1069306964,1069306967) 
result : {1069306708: {'photo_id': 1069306708, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/7eba568f0aa961284ede154354a8b509.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_33_10134.jpg'}, 1069306710: {'photo_id': 1069306710, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/fe3d201fbfd00dfcd98aa3625d2cfe6a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_43_10066.jpg'}, 1069306805: {'photo_id': 1069306805, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/42a49f97933b37a87ca53e38379f29b0.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_53_9809.jpg'}, 1069306815: {'photo_id': 1069306815, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/2f5091223d1b3946ee6eb8576faac354.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_03_10054.jpg'}, 1069306841: {'photo_id': 1069306841, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/547760f05364a61b63ad9db90d0b0dec.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_13_10036.jpg'}, 1069306843: {'photo_id': 1069306843, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/5d2b7a6367578e8ac1382d2a1a0bba36.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_23_10032.jpg'}, 1069306844: {'photo_id': 1069306844, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/5b215fd7500b354740ce88c56edeaf99.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_33_10008.jpg'}, 1069306954: {'photo_id': 1069306954, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/2019d5d809e04d2e01c269b108974cd3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_03_9803.jpg'}, 1069306964: {'photo_id': 1069306964, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/d58c1cb31781763bc3bb045dfac967c3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_13_10051.jpg'}, 1069306967: {'photo_id': 1069306967, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/642d8a900dd65f94ea75eb2a9d95b7dd.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_23_10019.jpg'}}
list_photo_exists : [1069306708, 1069306710, 1069306805, 1069306815, 1069306841, 1069306843, 1069306844, 1069306954, 1069306964, 1069306967]
storage_type for insertDescriptorsMulti : 3
Missing photo l117 : 1069306708
Missing photo l117 : 1069306710
Missing photo l117 : 1069306805
Missing photo l117 : 1069306815
Missing photo l117 : 1069306841
Missing photo l117 : 1069306843
Missing photo l117 : 1069306844
Missing photo l117 : 1069306954
Missing photo l117 : 1069306964
Missing photo l117 : 1069306967
To insert : 1069306708
To insert : 1069306710
To insert : 1069306805
To insert : 1069306815
To insert : 1069306841
To insert : 1069306843
To insert : 1069306844
To insert : 1069306954
To insert : 1069306964
To insert : 1069306967
time to insert the descriptors : 2.604560136795044
res : {'1069306708': b'\xc3\xbf\x00\x00\x00\x00\x08\x14\x03\x05', '1069306710': b'\x00\x00\x00\x00\x00\x00\x00"\xc2\xb3', '1069306805': b'\x00\x06\x00\x00\x00\x00\x00\xc2\x8a\x00', '1069306815': b'\x00l\x00\x00\x00\xc3\x84>\x00\x00', '1069306841': b'\x004\x00\xc3\xad@=sz\x00', '1069306843': b'\x00\x00-\x00\xc3\xb9\x00\x00\x00\x00', '1069306844': b'\x00\x00\x00\xc2\x86\x00T\x00\x00\x00', '1069306954': b'\x14\xc2\x83\xc3\xbf\x1f\x00\x00\x00\x00\x00', '1069306964': b'\x06\xc3\xbf\x00X\x1a\x00\x00\x00\x1f', '1069306967': b'\x00\x00\x00\x00\x00\x00\xc2\xab\x00\x00'}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 4.276782751083374
time spend to save output : 9.512901306152344e-05
total time spend for step 1 : 4.2768778800964355

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : acp we use saveGeneral 
[1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
 map_info['map_portfolio_photo'] : {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
 final :  True mtd_id 4212 list_pids : [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
Looping around the photos to save general results
len do output : 10
/1069306708Didn't retrieve data
.
/1069306710Didn't retrieve data
.
/1069306805Didn't retrieve data
.
/1069306815Didn't retrieve data
.
/1069306841Didn't retrieve data
.
/1069306843Didn't retrieve data
.
/1069306844Didn't retrieve data
.
/1069306954Didn't retrieve data
.
/1069306964Didn't retrieve data
.
/1069306967Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c824460>
Managing all output in save final without adding information in the mtr_datou_result 
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306967', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306964', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306954', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306844', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306843', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306841', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306815', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306805', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306710', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306708', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 20
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4212', '5709050', '1069306708', 'None', None, None, None, None, None), ('4212', '5709050', '1069306710', 'None', None, None, None, None, None), ('4212', '5709050', '1069306805', 'None', None, None, None, None, None), ('4212', '5709050', '1069306815', 'None', None, None, None, None, None), ('4212', '5709050', '1069306841', 'None', None, None, None, None, None), ('4212', '5709050', '1069306843', 'None', None, None, None, None, None), ('4212', '5709050', '1069306844', 'None', None, None, None, None, None), ('4212', '5709050', '1069306954', 'None', None, None, None, None, None), ('4212', '5709050', '1069306964', 'None', None, None, None, None, None), ('4212', '5709050', '1069306967', 'None', None, None, None, None, None)]
time used for this insertion : 0.21476507186889648
 save_final 

save missing photos in datou_result :
After save, about to update current !
ret : {'1069306708': b'\xc3\xbf\x00\x00\x00\x00\x08\x14\x03\x05', '1069306710': b'\x00\x00\x00\x00\x00\x00\x00"\xc2\xb3', '1069306805': b'\x00\x06\x00\x00\x00\x00\x00\xc2\x8a\x00', '1069306815': b'\x00l\x00\x00\x00\xc3\x84>\x00\x00', '1069306841': b'\x004\x00\xc3\xad@=sz\x00', '1069306843': b'\x00\x00-\x00\xc3\xb9\x00\x00\x00\x00', '1069306844': b'\x00\x00\x00\xc2\x86\x00T\x00\x00\x00', '1069306954': b'\x14\xc2\x83\xc3\xbf\x1f\x00\x00\x00\x00\x00', '1069306964': b'\x06\xc3\xbf\x00X\x1a\x00\x00\x00\x1f', '1069306967': b'\x00\x00\x00\x00\x00\x00\xc2\xab\x00\x00'}
fin du test de la step acp

############################### TEST blur_crop  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3990

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3990
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3990
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3990
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : crop_condition
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (6135916) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (6135916)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1105701516, 'portfolio_id': 6135916}, {'photo_id': 1105701500, 'portfolio_id': 6135916}]
 map_portfolio_id_photo_id: {6135916: [1105701516, 1105701500]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1105701516
begin to download photo : 1105701500
download finish for photo 1105701500
download finish for photo 1105701516
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 1.254328966140747
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:crop_condition
Sun Feb  2 03:49:10 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27.jpg': 1105701500, 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058.jpg': 1105701516}
map_photo_id_path_extension : {1105701500: {'path': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27.jpg', 'extension': 'jpg'}, 1105701516: {'path': 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
param_json : {'filter': {'Papier_Magazine': {}, 'carton_brun': {}, 'carton_gris': {}, 'cartonnette': {}, 'kraft': {}, 'autre_refus': {}, 'metal': {}, 'plastique': {}, 'teint_dans_la_masse': {}, 'environnement': {}, 'contaminant': {}}, 'upload_type': 'python', 'photo_hashtag_type': 4356, 'token': 'bdba771f7b99dd431d09e7a0ad6ec08f', 'portfolio_name': 'crop_qualipapia_rle', 'crop_type': 'blur', 'min_score': 0.5, 'feed_id_new_photos': 6163545}
Loading chi in step crop with photo_hashtag_type : 4356
Loading chi in step crop for list_pids : 2 !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1105701500,1105701516) and `type` in (4356) 
Loaded 3 chid ids of type : 4356
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2436373819,2436374092,2436374262)
++WARNING : duplicated polygon, we should remove this data for chi_id : 2436373819. Ignored now
+++WARNING : duplicated polygon, we should remove this data for chi_id : 2436374262. Ignored now
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2436373819,2436374092,2436374262)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2436373819,2436374092,2436374262)
select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos  where photo_id in ( 1105701500,1105701516) 
select sub_photo_id, crop_hashtag_id from MTRPhoto.crop_sub_photo_ids where sub_photo_id in (1105703688,1105703689,1105703686) 

begin to crop the class : Papier_Magazine
param for this class : {}
filtre for class : Papier_Magazine 
hashtag_id of this class : 2107752386
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107752386) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : carton_brun
param for this class : {}
filtre for class : carton_brun 
hashtag_id of this class : 2107753024
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107753024) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : carton_gris
param for this class : {}
filtre for class : carton_gris 
hashtag_id of this class : 2107753020
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107753020) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : cartonnette
param for this class : {}
filtre for class : cartonnette 
hashtag_id of this class : 702398920
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 702398920) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : kraft
param for this class : {}
filtre for class : kraft 
hashtag_id of this class : 493202403
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 493202403) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : autre_refus
param for this class : {}
filtre for class : autre_refus 
hashtag_id of this class : 2107752406
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107752406) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : metal
param for this class : {}
filtre for class : metal 
hashtag_id of this class : 492628673
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 492628673) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : plastique
param for this class : {}
filtre for class : plastique 
hashtag_id of this class : 492725882
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 492725882) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : teint_dans_la_masse
param for this class : {}
filtre for class : teint_dans_la_masse 
hashtag_id of this class : 2107752385
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107752385) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : environnement
param for this class : {}
filtre for class : environnement 
hashtag_id of this class : 493012381
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 493012381) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : contaminant
param for this class : {}
filtre for class : contaminant 
hashtag_id of this class : 681467679
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 681467679) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2436373819]
chi_id interessant : [2436373819, 2436374092]
chi_id interessant : [2436373819, 2436374092, 2436374262]

type of cropped photo chosen : blur
we resize croppped photo by 1 on x axis and by 1 on y axis
 new_file_path_bib_crop : temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436373819_0.jpg
Here we manage polygons !
 new_file_path_bib_crop : temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436374262_0.jpg
Here we manage polygons !
 new_file_path_bib_crop : temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_bib_crop_2436374092_0.jpg
Here we manage polygons !
 map_result returned by crop_photo_return_map_crop : length : 3
map_result after crop : {2436373819: {'crop': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436373819_0.jpg', 'photo_id': 1105701500, 'sub_photo_id': 1105703688, 'coordonates': (108, 300, 16, 138), 'sub_photo_infos': (108, 300, 16, 138, 1, 1), 'same_chi': True, 'black': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_black_2436373819_0.jpg', 'polygon': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_2436373819_0.jpg', 'polygon_crop': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_crop_2436373819_0.jpg', 'blur': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg'}, 2436374262: {'crop': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436374262_0.jpg', 'photo_id': 1105701500, 'sub_photo_id': 1105703689, 'coordonates': (47, 300, 91, 247), 'sub_photo_infos': (47, 300, 91, 247, 1, 1), 'same_chi': True, 'black': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_black_2436374262_0.jpg', 'polygon': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_2436374262_0.jpg', 'polygon_crop': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_crop_2436374262_0.jpg', 'blur': 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg'}, 2436374092: {'crop': 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_bib_crop_2436374092_0.jpg', 'photo_id': 1105701516, 'sub_photo_id': 1105703686, 'coordonates': (25, 175, 137, 235), 'sub_photo_infos': (25, 175, 137, 235, 1, 1), 'same_chi': True, 'black': 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_black_2436374092_0.jpg', 'polygon': 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_2436374092_0.jpg', 'polygon_crop': 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_crop_2436374092_0.jpg', 'blur': 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg'}}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{1105703688: [1105701500, 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}
we have finished the crop for the class : contaminant


map of total cropped photos with some data : 
{1105703688: [1105701500, 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 4.443965196609497
time spend to save output : 8.869171142578125e-05
total time spend for step 1 : 4.444053888320923

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral 
[1105701500, 1105701516]
 map_info['map_portfolio_photo'] : {6135916: [1105701516, 1105701500]}
 final :  True mtd_id 3990 list_pids : [1105701500, 1105701516]
Looping around the photos to save general results
len do output : 3
/1105703688Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1105703689Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1105703686Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3c3b6e20>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3dac9130>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3dac9220>
Managing all output in save final without adding information in the mtr_datou_result 
('3990', None, None, None, None, None, None, None, None)
('3990', '6135916', '1105701500', None, None, None, None, None, None)
('3990', None, None, None, None, None, None, None, None)
('3990', '6135916', '1105701516', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 11
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3990', None, '1105703688', 'None', None, None, None, None, None), ('3990', None, '1105703689', 'None', None, None, None, None, None), ('3990', None, '1105703686', 'None', None, None, None, None, None), ('3990', '6135916', '1105701500', None, None, None, None, None, None), ('3990', '6135916', '1105701516', None, None, None, None, None, None)]
time used for this insertion : 0.2600996494293213
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1105703688: [1105701500, 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}
ret : {1105703688: [1105701500, 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1738464550_2241491_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1738464550_2241491_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}
res wanted : {1105703686: [1105701516, 'temp/1653313707_21236_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)], 1105703688: [1105701500, 'temp/1653313707_21236_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1653313707_21236_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)]}
fin du test de la step crop option blur

############################### TEST pma_consolidate  ################################
update MTRUser.mtr_portfolio_photos set hide_status=1 where mtr_portfolio_id in (
    select mtr_portfolio_id_2 from MTRPhoto.mtr_port_to_port_ids where mtr_portfolio_id_1 = 9778120)
    
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4492

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4492
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4492
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4492
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 12666 copy_chis is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 12667 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 12664 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition !
WARNING : number of outputs for step 12664 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 12671 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 12666 have datatype=11 whereas input 0 of step 12664 have datatype=2
WARNING : type of output 1 of step 12667 doesn't seem to be define in the database(
WARNING : type of input 3 of step 12665 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 12667 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12664 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12671 doesn't seem to be define in the database(
WARNING : output 1 of step 12664 have datatype=7 whereas input 1 of step 12671 have datatype=None
WARNING : type of output 1 of step 12671 doesn't seem to be define in the database(
WARNING : type of input 4 of step 12665 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 12666 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12667 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : copy_chis, consolidate_hashtags_from_manual_portfolio, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (6549724) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (6549724)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1114046597, 'portfolio_id': 6549724}, {'photo_id': 1114046377, 'portfolio_id': 6549724}]
 map_portfolio_id_photo_id: {6549724: [1114046597, 1114046377]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1114046597
begin to download photo : 1114046377
download finish for photo 1114046377
download finish for photo 1114046597
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 4.186035394668579
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  5
step1:copy_chis
Sun Feb  2 03:49:20 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg
processing picture : temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377,1114046597) and `type` in (4482)  and score>0.01and hashtag_id in (493061979,493012381) 
Loaded 21 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 88 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
 map_nb_chis : {1114046377: 12, 1114046597: 9}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 3.779811382293701
time spend to save output : 4.9114227294921875e-05
total time spend for step 1 : 3.779860496520996

step2:consolidate_hashtags_from_manual_portfolio
Sun Feb  2 03:49:24 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step consolidate_hashtags_from_manual_portfolio
Iterating over portfolio : 6549724
on est dans le IF portfolio mere 26T
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement'))  AND  mptpi.`min_score`=0.1
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement'))  AND  mptpi.`min_score`=0.1
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=9778120 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement'))  AND  mptpi.`min_score`=0.1
To do
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755323 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281235,1187281236,1187281237,1187281238,1187281239,1187281240,1187281241,1187281242,1187281243,1187281244,1187281245,1187281246,1187281247)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755346, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755323;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755346 and b.mtr_portfolio_id = 9755323;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092606, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755323;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092606 and b.mtr_portfolio_id = 9755323;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755324 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281457,1187281474,1187281473,1187281472,1187281471,1187281470,1187281468,1187281467,1187281466,1187281465,1187281464,1187281463,1187281462,1187281461,1187281458,1187281438,1187281456,1187281455,1187281453,1187281452,1187281451,1187281450,1187281449,1187281448,1187281447,1187281446,1187281443,1187281442,1187281441,1187281440)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755347, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755324;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755347 and b.mtr_portfolio_id = 9755324;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092607, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755324;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092607 and b.mtr_portfolio_id = 9755324;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755325 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281483,1187281484,1187281485)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377) and `type` in (4482) 
Loaded 53 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755348, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755325;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755348 and b.mtr_portfolio_id = 9755325;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092608, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755325;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092608 and b.mtr_portfolio_id = 9755325;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755326 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281541,1187281542,1187281543,1187281544,1187281545,1187281546,1187281547,1187281548,1187281549)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755349, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755326;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755349 and b.mtr_portfolio_id = 9755326;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092609, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755326;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092609 and b.mtr_portfolio_id = 9755326;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755327 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755350, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755327;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755350 and b.mtr_portfolio_id = 9755327;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092610, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755327;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092610 and b.mtr_portfolio_id = 9755327;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755328 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281590)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377) and `type` in (4482) 
Loaded 53 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755351, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755328;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755351 and b.mtr_portfolio_id = 9755328;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092611, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755328;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092611 and b.mtr_portfolio_id = 9755328;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755329 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755352, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755329;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755352 and b.mtr_portfolio_id = 9755329;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092612, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755329;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092612 and b.mtr_portfolio_id = 9755329;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755330 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755353, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755330;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755353 and b.mtr_portfolio_id = 9755330;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092613, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755330;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092613 and b.mtr_portfolio_id = 9755330;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755331 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755354, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755331;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755354 and b.mtr_portfolio_id = 9755331;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092614, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755331;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092614 and b.mtr_portfolio_id = 9755331;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755332 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755355, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755332;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755355 and b.mtr_portfolio_id = 9755332;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092615, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755332;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092615 and b.mtr_portfolio_id = 9755332;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755333 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281637,1187281639,1187281640,1187281641,1187281642,1187281643,1187281644)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755356, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755333;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755356 and b.mtr_portfolio_id = 9755333;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092616, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755333;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092616 and b.mtr_portfolio_id = 9755333;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755334 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755357, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755334;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755357 and b.mtr_portfolio_id = 9755334;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092617, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755334;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092617 and b.mtr_portfolio_id = 9755334;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755335 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755358, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755335;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755358 and b.mtr_portfolio_id = 9755335;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092618, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755335;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092618 and b.mtr_portfolio_id = 9755335;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755336 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755359, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755336;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755359 and b.mtr_portfolio_id = 9755336;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092619, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755336;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092619 and b.mtr_portfolio_id = 9755336;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755337 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755360, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755337;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755360 and b.mtr_portfolio_id = 9755337;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092620, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755337;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092620 and b.mtr_portfolio_id = 9755337;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755338 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755361, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755338;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755361 and b.mtr_portfolio_id = 9755338;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092621, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755338;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092621 and b.mtr_portfolio_id = 9755338;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755339 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755362, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755339;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755362 and b.mtr_portfolio_id = 9755339;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092622, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755339;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092622 and b.mtr_portfolio_id = 9755339;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755340 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755363, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755340;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755363 and b.mtr_portfolio_id = 9755340;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092623, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755340;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092623 and b.mtr_portfolio_id = 9755340;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755341 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281653,1187281655)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597) and `type` in (4482) 
Loaded 48 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755364, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755341;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755364 and b.mtr_portfolio_id = 9755341;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092624, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755341;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092624 and b.mtr_portfolio_id = 9755341;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755342 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187282123,1187282134,1187282131,1187282130,1187282129,1187282128,1187282127,1187282126,1187282125,1187282124,1187282110,1187282121,1187282119,1187282118,1187282117,1187282116,1187282115,1187282114,1187282112,1187282111)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755365, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755342;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755365 and b.mtr_portfolio_id = 9755342;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092625, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755342;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092625 and b.mtr_portfolio_id = 9755342;
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4534333,4534334,4534335,4534336,4534337,4534338,4534339,4534340,4534341,4534342,4534343,4534344,4534345,4534346,4534347,4534348,4534349,4534350,4534351,4534352);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4534382,4534383,4534384,4534385,4534386,4534387,4534388,4534389,4534390,4534391,4534392,4534393,4534394,4534395,4534396,4534397,4534398,4534399,4534400,4534401);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4533644,4533645,4533646,4533647,4533648,4533649,4533650,4533651,4533652,4533653,4533654,4533655,4533656,4533657,4533658,4533659,4533660,4533661,4533662,4533663);
To test !
Use context local managing function !

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 9.401167154312134
time spend to save output : 8.702278137207031e-05
total time spend for step 2 : 9.401254177093506

step3:rle_unique_nms_with_priority
Sun Feb  2 03:49:33 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ['temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg
on traite la photo : temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377,1114046597) and `type` in (4490) and hashtag_id in (493012381,2107760329,2107760328,605975549,492626781,1608424396,530726390,492631919,494789423,492618350,492741797,2107756122,2107760128,2107759152,2107755900,628944319,2107755846,492628673,492774966,492668766) 
Loaded 88 chid ids of type : 4490
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 50 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.033657073974609375
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 38 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.03305339813232422
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904), 1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.042555570602417
time spend to save output : 0.00011444091796875
total time spend for step 3 : 1.0426700115203857

step4:ventilate_hashtags_in_portfolio
Sun Feb  2 03:49:34 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 6549724
get user id for portfolio 6549724
get sub ptf for main ptf 6549724, type 4490 and hashtags ['papier', 'carton', 'metal', 'pet_clair', 'pehd', 'pet_fonce', 'pet_opaque', 'barquette_opaque', 'film_plastique', 'ela', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', 'environnement', 'mal_croppe', 'flou']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 6549724, 'sub_port_id': 9755346, 'hashtag': 'papier', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534382, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755347, 'hashtag': 'carton', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534383, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755348, 'hashtag': 'metal', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534384, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755349, 'hashtag': 'pet_clair', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534385, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755350, 'hashtag': 'pehd', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534386, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755351, 'hashtag': 'pet_fonce', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534387, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755352, 'hashtag': 'pet_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534388, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755353, 'hashtag': 'barquette_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534389, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755354, 'hashtag': 'film_plastique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534390, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755355, 'hashtag': 'ela', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534391, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755356, 'hashtag': 'sac', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534392, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755357, 'hashtag': 'textiles', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534393, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755358, 'hashtag': 'verre', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534394, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755359, 'hashtag': 'organique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534395, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755360, 'hashtag': 'dasri', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534396, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755361, 'hashtag': 'masque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534397, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755362, 'hashtag': 'encombrant', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534398, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755363, 'hashtag': 'autre_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534399, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755364, 'hashtag': 'autre_non_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534400, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755365, 'hashtag': 'environnement', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534401, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755366, 'hashtag': 'mal_croppe', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534402, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 42, 30)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755367, 'hashtag': 'flou', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534403, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 42, 30)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755346 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755347 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='carton'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755348 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='metal'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755349 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755350 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pehd'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755351 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_fonce'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755352 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755353 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='barquette_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755354 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='film_plastique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755355 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='ela'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755356 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='sac'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755357 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='textiles'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755358 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='verre'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755359 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='organique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755360 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='dasri'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755361 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='masque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755362 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='encombrant'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755363 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755364 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_non_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755365 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environnement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755366 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755367 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='flou'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 6549724, 'sub_port_id': 9755323, 'hashtag': 'papier', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534333, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755324, 'hashtag': 'carton', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534334, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755325, 'hashtag': 'metal', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534335, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755326, 'hashtag': 'pet_clair', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534336, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755327, 'hashtag': 'pehd', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534337, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755328, 'hashtag': 'pet_fonce', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534338, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755329, 'hashtag': 'pet_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534339, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755330, 'hashtag': 'barquette_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534340, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755331, 'hashtag': 'film_plastique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534341, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755332, 'hashtag': 'ela', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534342, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755333, 'hashtag': 'sac', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534343, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755334, 'hashtag': 'textiles', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534344, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755335, 'hashtag': 'verre', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534345, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755336, 'hashtag': 'organique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534346, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755337, 'hashtag': 'dasri', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534347, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755338, 'hashtag': 'masque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534348, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755339, 'hashtag': 'encombrant', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534349, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755340, 'hashtag': 'autre_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534350, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755341, 'hashtag': 'autre_non_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534351, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755342, 'hashtag': 'environnement', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534352, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 33), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 33)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755344, 'hashtag': 'mal_croppe', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534354, 'last_updated_at': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755345, 'hashtag': 'flou', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534355, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}}
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755323,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755346 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755324,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755347 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755325,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755348 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755326,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755349 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755327,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755350 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755328,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755351 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755329,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755352 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755330,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755353 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755331,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755354 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755332,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755355 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755333,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755356 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755334,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755357 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755335,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755358 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755336,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755359 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755337,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755360 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755338,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755361 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755339,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755362 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755340,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755363 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755341,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755364 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755342,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755365 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755344,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755366 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755345,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755367 


lien utilise dans velours :  https://www.fotonower.com/velours/9755323,9755324,9755325,9755326,9755327,9755328,9755329,9755330,9755331,9755332,9755333,9755334,9755335,9755336,9755337,9755338,9755339,9755340,9755341,9755342,9755344,9755345?tags=papier,carton,metal,pet_clair,pehd,pet_fonce,pet_opaque,barquette_opaque,film_plastique,ela,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement,mal_croppe,flou&datou_id_consolidate=4387&port_consolidate=6549724

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.4312717914581299
time spend to save output : 6.604194641113281e-05
total time spend for step 4 : 0.431337833404541

step5:final
Sun Feb  2 03:49:35 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
complete output_args for input 2 : {1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904), 1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064)}
 input_args_next_step : {1114046377: ()}
 output_args : {1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904), 1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064)}
 args : 1114046377
 depend.output_id : 0
 input_args_next_step : {1114046377: (0.09264291817443555,), 1114046597: ()}
 output_args : {1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904), 1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064)}
 args : 1114046597
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : (0.09264291817443555,)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464560_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464560_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step final !
 query to retrieve results for portfolio 6549724 : SELECT photo_id, hashtag_id, ratio from MTRPhoto.photo_carac_ratio where hashtag_type = 4490  and photo_id in (1114046597,1114046377);
insert ignore into MTRUser.portfolio_carac_ratio (portfolio_id, hashtag_type, hashtag_id, value) values (%s,%s,%s,%s) on DUPLICATE KEY UPDATE value=VALUES(value)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.07298040390014648
time spend to save output : 9.298324584960938e-05
total time spend for step 5 : 0.0730733871459961

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
original output for save of step final : {1114046377: ('0.3133414848207032',), 1114046597: ('0.3133414848207032',)}
new output for save of step final : {1114046377: ('0.3133414848207032',), 1114046597: ('0.3133414848207032',)}
[1114046377, 1114046597]
 map_info['map_portfolio_photo'] : {6549724: [1114046597, 1114046377]}
 final :  True mtd_id 4492 list_pids : [1114046377, 1114046597]
Looping around the photos to save general results
len do output : 2
/1114046377.Didn't retrieve data
.
/1114046597.Didn't retrieve data
.
before output type
Used above
Used above
Managing all output in save final without adding information in the mtr_datou_result 
('4492', None, None, None, None, None, None, None, None)
('4492', '6549724', '1114046377', None, None, None, None, None, None)
('4492', None, None, None, None, None, None, None, None)
('4492', '6549724', '1114046597', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4492', '6549724', '1114046377', '0.3133414848207032', None, None, None, None, None), ('4492', '6549724', '1114046597', '0.3133414848207032', None, None, None, None, None)]
time used for this insertion : 0.01406097412109375
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 5
 output : {1114046377: ('0.3133414848207032',), 1114046597: ('0.3133414848207032',)}
select mp.id, count(*) from MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp
    where mpp.mtr_portfolio_id = mp.id and mp.id in (
    select mtr_portfolio_id_2 from MTRPhoto.mtr_port_to_port_ids where mtr_portfolio_id_1 = 9778120)
    and hide_status = 0 group by mp.id order by id desc;
    
fin du test de portfolio mere absolue dans consolidate

############################### TEST pma_ventilate  ################################
delete from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (
    select mtr_portfolio_id_2 from MTRPhoto.mtr_port_to_port_ids where mtr_portfolio_id_1 = 9974548);
    
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4553

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4553
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4553
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4553
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 12795 copy_chis is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 12796 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 12793 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition !
WARNING : number of outputs for step 12793 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : output 0 of step 12795 have datatype=11 whereas input 0 of step 12793 have datatype=2
WARNING : type of output 1 of step 12796 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12793 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12800 doesn't seem to be define in the database(
WARNING : output 1 of step 12793 have datatype=7 whereas input 1 of step 12800 have datatype=None
WARNING : type of output 1 of step 12795 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12796 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : copy_chis, consolidate_hashtags_from_manual_portfolio, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (6549724) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (6549724)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1114046597, 'portfolio_id': 6549724}, {'photo_id': 1114046377, 'portfolio_id': 6549724}]
 map_portfolio_id_photo_id: {6549724: [1114046597, 1114046377]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1114046597
begin to download photo : 1114046377
download finish for photo 1114046377
download finish for photo 1114046597
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 0.2697281837463379
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  4
step1:copy_chis
Sun Feb  2 03:49:35 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg
processing picture : temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377,1114046597) and `type` in (4482)  and score>0.01and hashtag_id in (493061979,493012381) 
Loaded 21 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 88 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
 map_nb_chis : {1114046377: 12, 1114046597: 9}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.05279898643493652
time spend to save output : 4.673004150390625e-05
total time spend for step 1 : 0.05284571647644043

step2:consolidate_hashtags_from_manual_portfolio
Sun Feb  2 03:49:35 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step consolidate_hashtags_from_manual_portfolio
Iterating over portfolio : 6549724
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement')) 
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement')) 
To do
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755323 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281235,1187281236,1187281237,1187281238,1187281239,1187281240,1187281241,1187281242,1187281243,1187281244,1187281245,1187281246,1187281247)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755346, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755323;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755346 and b.mtr_portfolio_id = 9755323;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755324 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281457,1187281474,1187281473,1187281472,1187281471,1187281470,1187281468,1187281467,1187281466,1187281465,1187281464,1187281463,1187281462,1187281461,1187281458,1187281438,1187281456,1187281455,1187281453,1187281452,1187281451,1187281450,1187281449,1187281448,1187281447,1187281446,1187281443,1187281442,1187281441,1187281440)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755347, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755324;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755347 and b.mtr_portfolio_id = 9755324;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755325 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281483,1187281484,1187281485)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377) and `type` in (4482) 
Loaded 53 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755348, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755325;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755348 and b.mtr_portfolio_id = 9755325;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755326 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281541,1187281542,1187281543,1187281544,1187281545,1187281546,1187281547,1187281548,1187281549)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755349, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755326;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755349 and b.mtr_portfolio_id = 9755326;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755327 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755350, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755327;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755350 and b.mtr_portfolio_id = 9755327;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755328 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281590)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377) and `type` in (4482) 
Loaded 53 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755351, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755328;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755351 and b.mtr_portfolio_id = 9755328;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755329 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755352, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755329;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755352 and b.mtr_portfolio_id = 9755329;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755330 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755353, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755330;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755353 and b.mtr_portfolio_id = 9755330;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755331 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755354, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755331;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755354 and b.mtr_portfolio_id = 9755331;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755332 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755355, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755332;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755355 and b.mtr_portfolio_id = 9755332;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755333 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281637,1187281639,1187281640,1187281641,1187281642,1187281643,1187281644)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755356, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755333;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755356 and b.mtr_portfolio_id = 9755333;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755334 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755357, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755334;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755357 and b.mtr_portfolio_id = 9755334;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755335 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755358, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755335;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755358 and b.mtr_portfolio_id = 9755335;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755336 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755359, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755336;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755359 and b.mtr_portfolio_id = 9755336;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755337 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755360, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755337;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755360 and b.mtr_portfolio_id = 9755337;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755338 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755361, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755338;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755361 and b.mtr_portfolio_id = 9755338;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755339 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755362, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755339;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755362 and b.mtr_portfolio_id = 9755339;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755340 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755363, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755340;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755363 and b.mtr_portfolio_id = 9755340;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755341 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281653,1187281655)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597) and `type` in (4482) 
Loaded 48 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755364, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755341;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755364 and b.mtr_portfolio_id = 9755341;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755342 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187282123,1187282134,1187282131,1187282130,1187282129,1187282128,1187282127,1187282126,1187282125,1187282124,1187282110,1187282121,1187282119,1187282118,1187282117,1187282116,1187282115,1187282114,1187282112,1187282111)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755365, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755342;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755365 and b.mtr_portfolio_id = 9755342;
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4534333,4534334,4534335,4534336,4534337,4534338,4534339,4534340,4534341,4534342,4534343,4534344,4534345,4534346,4534347,4534348,4534349,4534350,4534351,4534352);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4534382,4534383,4534384,4534385,4534386,4534387,4534388,4534389,4534390,4534391,4534392,4534393,4534394,4534395,4534396,4534397,4534398,4534399,4534400,4534401);
To test !
Use context local managing function !

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 2.093352794647217
time spend to save output : 0.00010156631469726562
total time spend for step 2 : 2.093454360961914

step3:rle_unique_nms_with_priority
Sun Feb  2 03:49:37 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ['temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg
on traite la photo : temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377,1114046597) and `type` in (4490) and hashtag_id in (493012381,2107760329,2107760328,605975549,492626781,1608424396,530726390,492631919,494789423,492618350,492741797,2107756122,2107760128,2107759152,2107755900,628944319,2107755846,492628673,492774966,492668766) 
Loaded 88 chid ids of type : 4490
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 50 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.11476969718933105
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 38 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.033408164978027344
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904), 1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.945960521697998
time spend to save output : 0.0001976490020751953
total time spend for step 3 : 0.9461581707000732

step4:ventilate_hashtags_in_portfolio
Sun Feb  2 03:49:38 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377, 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597}
map_photo_id_path_extension : {1114046377: {'path': 'temp/1738464575_2241491_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}, 1114046597: {'path': 'temp/1738464575_2241491_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 6549724
get user id for portfolio 6549724
get sub ptf for main ptf 9974548, type 4490 and hashtags ['papier', 'carton', 'metal', 'pet_clair', 'pehd', 'pet_fonce', 'pet_opaque', 'barquette_opaque', 'film_plastique', 'ela', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', 'environnement', 'mal_croppe', 'flou']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=9974548 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=9974548 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 9974548, 'sub_port_id': 9974558, 'hashtag': 'papier', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533836, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'carton': {'main_port_id': 9974548, 'sub_port_id': 9974559, 'hashtag': 'carton', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533837, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'metal': {'main_port_id': 9974548, 'sub_port_id': 9974560, 'hashtag': 'metal', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533838, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'pet_clair': {'main_port_id': 9974548, 'sub_port_id': 9974561, 'hashtag': 'pet_clair', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533839, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'pehd': {'main_port_id': 9974548, 'sub_port_id': 9974562, 'hashtag': 'pehd', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533840, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'pet_fonce': {'main_port_id': 9974548, 'sub_port_id': 9974563, 'hashtag': 'pet_fonce', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533841, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'pet_opaque': {'main_port_id': 9974548, 'sub_port_id': 9974564, 'hashtag': 'pet_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533842, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'barquette_opaque': {'main_port_id': 9974548, 'sub_port_id': 9974565, 'hashtag': 'barquette_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533843, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'film_plastique': {'main_port_id': 9974548, 'sub_port_id': 9974566, 'hashtag': 'film_plastique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533844, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'ela': {'main_port_id': 9974548, 'sub_port_id': 9974567, 'hashtag': 'ela', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533845, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'sac': {'main_port_id': 9974548, 'sub_port_id': 9974568, 'hashtag': 'sac', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533846, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'textiles': {'main_port_id': 9974548, 'sub_port_id': 9974569, 'hashtag': 'textiles', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533847, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'verre': {'main_port_id': 9974548, 'sub_port_id': 9974570, 'hashtag': 'verre', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533848, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'organique': {'main_port_id': 9974548, 'sub_port_id': 9974571, 'hashtag': 'organique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533849, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'dasri': {'main_port_id': 9974548, 'sub_port_id': 9974572, 'hashtag': 'dasri', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533850, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'masque': {'main_port_id': 9974548, 'sub_port_id': 9974573, 'hashtag': 'masque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533851, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'encombrant': {'main_port_id': 9974548, 'sub_port_id': 9974574, 'hashtag': 'encombrant', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533852, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'autre_emballage': {'main_port_id': 9974548, 'sub_port_id': 9974575, 'hashtag': 'autre_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533853, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'autre_non_emballage': {'main_port_id': 9974548, 'sub_port_id': 9974576, 'hashtag': 'autre_non_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533854, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'environnement': {'main_port_id': 9974548, 'sub_port_id': 9974577, 'hashtag': 'environnement', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533855, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'mal_croppe': {'main_port_id': 9974548, 'sub_port_id': 9974578, 'hashtag': 'mal_croppe', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533856, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'flou': {'main_port_id': 9974548, 'sub_port_id': 9974579, 'hashtag': 'flou', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533857, 'last_updated_at': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 16), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}}
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='papier'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974558;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974558 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='carton'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974559;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974559 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='carton'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='metal'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974560;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974560 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='metal'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_clair'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974561;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974561 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pehd'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974562;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974562 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pehd'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_fonce'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974563;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974563 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_fonce'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_opaque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974564;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974564 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='barquette_opaque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974565;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974565 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='barquette_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='film_plastique'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974566;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974566 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='film_plastique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='ela'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974567;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974567 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='ela'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='sac'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974568;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974568 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='sac'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='textiles'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974569;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974569 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='textiles'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='verre'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974570;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974570 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='verre'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='organique'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974571;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974571 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='organique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='dasri'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974572;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974572 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='dasri'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='masque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974573;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974573 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='masque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='encombrant'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974574;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974574 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='encombrant'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='autre_emballage'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974575;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974575 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='autre_non_emballage'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974576;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974576 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_non_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='environnement'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974577;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974577 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environnement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='mal_croppe'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974578;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974578 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='flou'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974579;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974579 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='flou'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !
get sub ptf for main ptf 6549724, type 4490 and hashtags ['papier', 'carton', 'metal', 'pet_clair', 'pehd', 'pet_fonce', 'pet_opaque', 'barquette_opaque', 'film_plastique', 'ela', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', 'environnement', 'mal_croppe', 'flou']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 6549724, 'sub_port_id': 9755346, 'hashtag': 'papier', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534382, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755347, 'hashtag': 'carton', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534383, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755348, 'hashtag': 'metal', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534384, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755349, 'hashtag': 'pet_clair', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534385, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755350, 'hashtag': 'pehd', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534386, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755351, 'hashtag': 'pet_fonce', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534387, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755352, 'hashtag': 'pet_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534388, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755353, 'hashtag': 'barquette_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534389, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755354, 'hashtag': 'film_plastique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534390, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755355, 'hashtag': 'ela', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534391, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755356, 'hashtag': 'sac', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534392, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755357, 'hashtag': 'textiles', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534393, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755358, 'hashtag': 'verre', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534394, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755359, 'hashtag': 'organique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534395, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755360, 'hashtag': 'dasri', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534396, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755361, 'hashtag': 'masque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534397, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755362, 'hashtag': 'encombrant', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534398, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755363, 'hashtag': 'autre_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534399, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755364, 'hashtag': 'autre_non_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534400, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755365, 'hashtag': 'environnement', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534401, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755366, 'hashtag': 'mal_croppe', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534402, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 42, 30)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755367, 'hashtag': 'flou', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534403, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 34), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 42, 30)}}
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='papier'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755346;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755346 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='carton'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755347;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755347 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='carton'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='metal'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755348;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755348 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='metal'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_clair'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755349;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755349 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pehd'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755350;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755350 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pehd'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_fonce'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755351;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755351 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_fonce'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_opaque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755352;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755352 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='barquette_opaque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755353;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755353 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='barquette_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='film_plastique'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755354;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755354 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='film_plastique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='ela'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755355;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755355 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='ela'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='sac'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755356;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755356 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='sac'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='textiles'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755357;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755357 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='textiles'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='verre'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755358;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755358 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='verre'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='organique'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755359;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755359 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='organique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='dasri'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755360;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755360 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='dasri'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='masque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755361;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755361 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='masque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='encombrant'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755362;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755362 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='encombrant'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='autre_emballage'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755363;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755363 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='autre_non_emballage'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755364;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755364 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_non_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='environnement'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755365;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755365 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environnement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='mal_croppe'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755366;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755366 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='flou'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755367;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755367 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='flou'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 6549724, 'sub_port_id': 9755323, 'hashtag': 'papier', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534333, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755324, 'hashtag': 'carton', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534334, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755325, 'hashtag': 'metal', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534335, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755326, 'hashtag': 'pet_clair', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534336, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755327, 'hashtag': 'pehd', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534337, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755328, 'hashtag': 'pet_fonce', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534338, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755329, 'hashtag': 'pet_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534339, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755330, 'hashtag': 'barquette_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534340, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755331, 'hashtag': 'film_plastique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534341, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755332, 'hashtag': 'ela', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534342, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755333, 'hashtag': 'sac', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534343, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755334, 'hashtag': 'textiles', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534344, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755335, 'hashtag': 'verre', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534345, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755336, 'hashtag': 'organique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534346, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755337, 'hashtag': 'dasri', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534347, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755338, 'hashtag': 'masque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534348, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755339, 'hashtag': 'encombrant', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534349, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755340, 'hashtag': 'autre_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534350, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755341, 'hashtag': 'autre_non_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534351, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755342, 'hashtag': 'environnement', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534352, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 37), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 2, 3, 49, 37)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755344, 'hashtag': 'mal_croppe', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534354, 'last_updated_at': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755345, 'hashtag': 'flou', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534355, 'last_updated_at': datetime.datetime(2025, 2, 2, 3, 49, 35), 'last_updated_at_desc': datetime.datetime(2025, 2, 2, 3, 49, 35), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}}
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755323,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755346 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755324,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755347 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755325,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755348 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755326,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755349 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755327,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755350 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755328,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755351 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755329,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755352 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755330,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755353 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755331,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755354 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755332,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755355 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755333,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755356 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755334,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755357 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755335,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755358 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755336,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755359 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755337,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755360 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755338,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755361 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755339,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755362 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755340,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755363 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755341,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755364 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755342,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755365 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755344,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755366 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755345,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755367 


lien utilise dans velours :  https://www.fotonower.com/velours/9755323,9755324,9755325,9755326,9755327,9755328,9755329,9755330,9755331,9755332,9755333,9755334,9755335,9755336,9755337,9755338,9755339,9755340,9755341,9755342,9755344,9755345?tags=papier,carton,metal,pet_clair,pehd,pet_fonce,pet_opaque,barquette_opaque,film_plastique,ela,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement,mal_croppe,flou&datou_id_consolidate=4387&port_consolidate=6549724

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.1025042533874512
time spend to save output : 8.869171142578125e-05
total time spend for step 4 : 1.102592945098877

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral 
[1114046377, 1114046597]
 map_info['map_portfolio_photo'] : {6549724: [1114046597, 1114046377]}
 final :  True mtd_id 4553 list_pids : [1114046377, 1114046597]
Looping around the photos to save general results
len do output : 1
/6549724.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5d3cf47250>
Managing all output in save final without adding information in the mtr_datou_result 
('4553', None, None, None, None, None, None, None, None)
('4553', '6549724', '1114046377', None, None, None, None, None, None)
('4553', None, None, None, None, None, None, None, None)
('4553', '6549724', '1114046597', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 3
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4553', None, '6549724', "{'papier': 9755346, 'carton': 9755347, 'metal': 9755348, 'pet_clair': 9755349, 'pehd': 9755350, 'pet_fonce': 9755351, 'pet_opaque': 9755352, 'barquette_opaque': 9755353, 'film_plastique': 9755354, 'ela': 9755355, 'sac': 9755356, 'textiles': 9755357, 'verre': 9755358, 'organique': 9755359, 'dasri': 9755360, 'masque': 9755361, 'encombrant': 9755362, 'autre_emballage': 9755363, 'autre_non_emballage': 9755364, 'environnement': 9755365, 'mal_croppe': 9755366, 'flou': 9755367}", None, None, None, None, None), ('4553', '6549724', '1114046377', None, None, None, None, None, None), ('4553', '6549724', '1114046597', None, None, None, None, None, None)]
time used for this insertion : 0.016002416610717773
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 4
 output : {6549724: [{'papier': 9755346, 'carton': 9755347, 'metal': 9755348, 'pet_clair': 9755349, 'pehd': 9755350, 'pet_fonce': 9755351, 'pet_opaque': 9755352, 'barquette_opaque': 9755353, 'film_plastique': 9755354, 'ela': 9755355, 'sac': 9755356, 'textiles': 9755357, 'verre': 9755358, 'organique': 9755359, 'dasri': 9755360, 'masque': 9755361, 'encombrant': 9755362, 'autre_emballage': 9755363, 'autre_non_emballage': 9755364, 'environnement': 9755365, 'mal_croppe': 9755366, 'flou': 9755367}]}
select mp.id, count(*) from MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp
    where mpp.mtr_portfolio_id = mp.id and mp.id in (
    select mtr_portfolio_id_2 from MTRPhoto.mtr_port_to_port_ids where mtr_portfolio_id_1 = 9974548)
    and hide_status = 0 group by mp.id order by id desc;
    
fin du test de portfolio mere absolue dans consolidate
[('sam', 'SUCCESS', True), ('frcnn', 'SUCCESS', True), ('thcl', 'SUCCESS', True), ('tfhub2', 'SUCCESS', True), ('ordonner', 'SUCCESS', True), ('rotate', 'SUCCESS', True), ('data_augmentation_ellipse_varroa_tile_rotate', 'SUCCESS', True), ('flip', 'SUCCESS', True), ('crop_rles', 'SUCCESS', True), ('angular_coeff', 'SUCCESS', True), ('detection_filter_by_crop', 'SUCCESS', True), ('detection_filter_by_classif', 'SUCCESS', True), ('blur_detection', 'success', True), ('detect_point_224x224', 'SUCCESS', True), ('certificat_qualite_papier', 'FAILURE', False), ('image_temperature_detection', 'success', True), ('broca', 'success', True), ('crop_conditional', 'success', True), ('image_blanchir', 'success', True), ('darker_image', 'success', True), ('img_aug', 'success', True), ('rubbia', 'success', True), ('rubbia_split_dark', 'success', True), ('rubbia_append', 'success', True), ('rubbia_horaire', 'failed', False), ('rle_unique_nms_with_priority', 'SUCCESS', True), ('random_deformation', 'success', True), ('tile', 'Success', True), ('rotate_chi', 'Success', True), ('rubbia_carac_pet_clair_0121_no_cnn', 'success', True), ('rubbia_carac_jrm_no_mask_detect', 'success', True), ('ventilate_hashtags_in_portfolio', 'success', True), ('poly_ro_rle', 'Success', True), ('cod_sts', 'success', True), ('cod_download', 'success', True), ('sendgrid', 'Success', True), ('rym_consolidate', 'Success', True), ('generate_new_image_add_crop', 'failed', False), ('velours_tree', 'Success', True), ('step ACP', 'Success', True), ('blur_crop', 'Success', True), ('pma_consolidate', 'Success', True), ('pma_ventilate', 'Success', True)]
 res_total : False

#&_#_#&_# TEST sam SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST frcnn SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST thcl SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST tfhub2 SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST ordonner SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rotate SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST data_augmentation_ellipse_varroa_tile_rotate SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST flip SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST crop_rles SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST angular_coeff SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST detection_filter_by_crop SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST detection_filter_by_classif SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST blur_detection SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST detect_point_224x224 SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST certificat_qualite_papier FAILED #&_#_#&_#

#&_#_#&_# TEST image_temperature_detection SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST broca SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST crop_conditional SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST image_blanchir SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST darker_image SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST img_aug SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_split_dark SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_append SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_horaire FAILED #&_#_#&_#

#&_#_#&_# TEST rle_unique_nms_with_priority SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST random_deformation SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST tile SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rotate_chi SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_carac_pet_clair_0121_no_cnn SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_carac_jrm_no_mask_detect SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST ventilate_hashtags_in_portfolio SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST poly_ro_rle SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST cod_sts SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST cod_download SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST sendgrid SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rym_consolidate SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST generate_new_image_add_crop FAILED #&_#_#&_#

#&_#_#&_# TEST velours_tree SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST step ACP SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST blur_crop SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST pma_consolidate SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST pma_ventilate SUCCEEDED #&_#_#&_#


#&_# TEST FAILED #&_# : tests/datou_test #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"sam": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','sam');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"frcnn": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','frcnn');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"thcl": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','thcl');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"tfhub2": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','tfhub2');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"ordonner": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','ordonner');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rotate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rotate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"data_augmentation_ellipse_varroa_tile_rotate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','data_augmentation_ellipse_varroa_tile_rotate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"flip": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','flip');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"crop_rles": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','crop_rles');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"angular_coeff": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','angular_coeff');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"detection_filter_by_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','detection_filter_by_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"detection_filter_by_classif": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','detection_filter_by_classif');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"blur_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','blur_detection');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"detect_point_224x224": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','detect_point_224x224');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"certificat_qualite_papier": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','certificat_qualite_papier');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"image_temperature_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','image_temperature_detection');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"broca": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','broca');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"crop_conditional": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','crop_conditional');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"image_blanchir": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','image_blanchir');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"darker_image": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','darker_image');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"img_aug": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','img_aug');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rubbia');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_split_dark": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rubbia_split_dark');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_append": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rubbia_append');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_horaire": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rubbia_horaire');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rle_unique_nms_with_priority": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rle_unique_nms_with_priority');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"random_deformation": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','random_deformation');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"tile": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','tile');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rotate_chi": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rotate_chi');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_carac_pet_clair_0121_no_cnn": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rubbia_carac_pet_clair_0121_no_cnn');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_carac_jrm_no_mask_detect": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rubbia_carac_jrm_no_mask_detect');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"ventilate_hashtags_in_portfolio": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','ventilate_hashtags_in_portfolio');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"poly_ro_rle": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','poly_ro_rle');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"cod_sts": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','cod_sts');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"cod_download": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','cod_download');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"sendgrid": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','sendgrid');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rym_consolidate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','rym_consolidate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"generate_new_image_add_crop": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','generate_new_image_add_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"velours_tree": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','velours_tree');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"step ACP": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','step ACP');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"blur_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','blur_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"pma_consolidate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','pma_consolidate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"pma_ventilate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','datou','pma_ventilate');

#&_# END OF TEST #&_# : tests/datou_test #&_# 





#&_# BEGIN OF TEST : mtr/database_queries/CacheModelData_queries #&_# 


/home/admin/workarea/git/Velours/python/mtr/database_queries/CacheModelData_queries.py
<module 'mtr.database_queries.CacheModelData_queries' from '/home/admin/workarea/git/Velours/python/mtr/database_queries/CacheModelData_queries.py'>
Test Cache Model Data
test a faire VR 27-9-17


#&_# TEST SUCCEEDED #&_# : mtr/database_queries/CacheModelData_queries #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"CacheModelData_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','CacheModelData_queries','unknown');

#&_# END OF TEST #&_# : mtr/database_queries/CacheModelData_queries #&_# 





#&_# BEGIN OF TEST : tests/cache_photo_data_test #&_# 


/home/admin/workarea/git/Velours/python/tests/cache_photo_data_test.py
<module 'tests.cache_photo_data_test' from '/home/admin/workarea/git/Velours/python/tests/cache_photo_data_test.py'>
Test local_cache_photo 

############################### test_download_photos_by_local_cache ################################

test download portfolio 1162416 : 574 photos

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1162416) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 1000000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (1162416)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 1000000
 list_result: [{'photo_id': 947118557, 'portfolio_id': 1162416}, {'photo_id': 947117332, 'portfolio_id': 1162416}, {'photo_id': 947116978, 'portfolio_id': 1162416}, {'photo_id': 947094003, 'portfolio_id': 1162416}, {'photo_id': 947074070, 'portfolio_id': 1162416}, {'photo_id': 947073868, 'portfolio_id': 1162416}, {'photo_id': 947073564, 'portfolio_id': 1162416}, {'photo_id': 947072790, 'portfolio_id': 1162416}, {'photo_id': 947064745, 'portfolio_id': 1162416}, {'photo_id': 947063327, 'portfolio_id': 1162416}, {'photo_id': 947063078, 'portfolio_id': 1162416}, {'photo_id': 947038224, 'portfolio_id': 1162416}, {'photo_id': 947037232, 'portfolio_id': 1162416}, {'photo_id': 947005262, 'portfolio_id': 1162416}, {'photo_id': 946989144, 'portfolio_id': 1162416}, {'photo_id': 946963782, 'portfolio_id': 1162416}, {'photo_id': 946937784, 'portfolio_id': 1162416}, {'photo_id': 946937387, 'portfolio_id': 1162416}, {'photo_id': 946921140, 'portfolio_id': 1162416}, {'photo_id': 946892570, 'portfolio_id': 1162416}, {'photo_id': 946871837, 'portfolio_id': 1162416}, {'photo_id': 946846441, 'portfolio_id': 1162416}, {'photo_id': 946833000, 'portfolio_id': 1162416}, {'photo_id': 946798783, 'portfolio_id': 1162416}, {'photo_id': 946781036, 'portfolio_id': 1162416}, {'photo_id': 946759661, 'portfolio_id': 1162416}, {'photo_id': 946624058, 'portfolio_id': 1162416}, {'photo_id': 946586956, 'portfolio_id': 1162416}, {'photo_id': 946572679, 'portfolio_id': 1162416}, {'photo_id': 946545288, 'portfolio_id': 1162416}, {'photo_id': 946540235, 'portfolio_id': 1162416}, {'photo_id': 946528705, 'portfolio_id': 1162416}, {'photo_id': 946522227, 'portfolio_id': 1162416}, {'photo_id': 946467551, 'portfolio_id': 1162416}, {'photo_id': 946447431, 'portfolio_id': 1162416}, {'photo_id': 946424646, 'portfolio_id': 1162416}, {'photo_id': 946395673, 'portfolio_id': 1162416}, {'photo_id': 946378913, 'portfolio_id': 1162416}, {'photo_id': 946352329, 'portfolio_id': 1162416}, {'photo_id': 946349460, 'portfolio_id': 1162416}, {'photo_id': 946325476, 'portfolio_id': 1162416}, {'photo_id': 946311655, 'portfolio_id': 1162416}, {'photo_id': 946303194, 'portfolio_id': 1162416}, {'photo_id': 946292480, 'portfolio_id': 1162416}, {'photo_id': 946271387, 'portfolio_id': 1162416}, {'photo_id': 946261683, 'portfolio_id': 1162416}, {'photo_id': 946224205, 'portfolio_id': 1162416}, {'photo_id': 946205223, 'portfolio_id': 1162416}, {'photo_id': 946202180, 'portfolio_id': 1162416}, {'photo_id': 946179949, 'portfolio_id': 1162416}, {'photo_id': 946179401, 'portfolio_id': 1162416}, {'photo_id': 946171142, 'portfolio_id': 1162416}, {'photo_id': 946151090, 'portfolio_id': 1162416}, {'photo_id': 946137099, 'portfolio_id': 1162416}, {'photo_id': 946121367, 'portfolio_id': 1162416}, {'photo_id': 946117923, 'portfolio_id': 1162416}, {'photo_id': 946084305, 'portfolio_id': 1162416}, {'photo_id': 946064005, 'portfolio_id': 1162416}, {'photo_id': 946063873, 'portfolio_id': 1162416}, {'photo_id': 946047653, 'portfolio_id': 1162416}, {'photo_id': 946041177, 'portfolio_id': 1162416}, {'photo_id': 946005848, 'portfolio_id': 1162416}, {'photo_id': 945991006, 'portfolio_id': 1162416}, {'photo_id': 945988446, 'portfolio_id': 1162416}, {'photo_id': 945978492, 'portfolio_id': 1162416}, {'photo_id': 945929143, 'portfolio_id': 1162416}, {'photo_id': 945913126, 'portfolio_id': 1162416}, {'photo_id': 945902755, 'portfolio_id': 1162416}, {'photo_id': 945865172, 'portfolio_id': 1162416}, {'photo_id': 945847594, 'portfolio_id': 1162416}, {'photo_id': 945820988, 'portfolio_id': 1162416}, {'photo_id': 945808991, 'portfolio_id': 1162416}, {'photo_id': 945804788, 'portfolio_id': 1162416}, {'photo_id': 945786172, 'portfolio_id': 1162416}, {'photo_id': 945772118, 'portfolio_id': 1162416}, {'photo_id': 945737783, 'portfolio_id': 1162416}, {'photo_id': 945708251, 'portfolio_id': 1162416}, {'photo_id': 945603688, 'portfolio_id': 1162416}, {'photo_id': 945584945, 'portfolio_id': 1162416}, {'photo_id': 945564403, 'portfolio_id': 1162416}, {'photo_id': 945554348, 'portfolio_id': 1162416}, {'photo_id': 945552710, 'portfolio_id': 1162416}, {'photo_id': 945463329, 'portfolio_id': 1162416}, {'photo_id': 945460339, 'portfolio_id': 1162416}, {'photo_id': 945436913, 'portfolio_id': 1162416}, {'photo_id': 945420368, 'portfolio_id': 1162416}, {'photo_id': 945415177, 'portfolio_id': 1162416}, {'photo_id': 945376098, 'portfolio_id': 1162416}, {'photo_id': 945354589, 'portfolio_id': 1162416}, {'photo_id': 945300895, 'portfolio_id': 1162416}, {'photo_id': 945294858, 'portfolio_id': 1162416}, {'photo_id': 945293053, 'portfolio_id': 1162416}, {'photo_id': 945291369, 'portfolio_id': 1162416}, {'photo_id': 945254633, 'portfolio_id': 1162416}, {'photo_id': 945091973, 'portfolio_id': 1162416}, {'photo_id': 945073877, 'portfolio_id': 1162416}, {'photo_id': 945001039, 'portfolio_id': 1162416}, {'photo_id': 944942990, 'portfolio_id': 1162416}, {'photo_id': 944862533, 'portfolio_id': 1162416}, {'photo_id': 944857075, 'portfolio_id': 1162416}, {'photo_id': 944829478, 'portfolio_id': 1162416}, {'photo_id': 944824017, 'portfolio_id': 1162416}, {'photo_id': 944803588, 'portfolio_id': 1162416}, {'photo_id': 944803368, 'portfolio_id': 1162416}, {'photo_id': 944794005, 'portfolio_id': 1162416}, {'photo_id': 944764793, 'portfolio_id': 1162416}, {'photo_id': 944756087, 'portfolio_id': 1162416}, {'photo_id': 944711406, 'portfolio_id': 1162416}, {'photo_id': 944686636, 'portfolio_id': 1162416}, {'photo_id': 944636249, 'portfolio_id': 1162416}, {'photo_id': 944623375, 'portfolio_id': 1162416}, {'photo_id': 944615894, 'portfolio_id': 1162416}, {'photo_id': 944585666, 'portfolio_id': 1162416}, {'photo_id': 944580397, 'portfolio_id': 1162416}, {'photo_id': 944536912, 'portfolio_id': 1162416}, {'photo_id': 944535462, 'portfolio_id': 1162416}, {'photo_id': 944525224, 'portfolio_id': 1162416}, {'photo_id': 944517156, 'portfolio_id': 1162416}, {'photo_id': 941317713, 'portfolio_id': 1162416}, {'photo_id': 941308810, 'portfolio_id': 1162416}, {'photo_id': 941302268, 'portfolio_id': 1162416}, {'photo_id': 941300768, 'portfolio_id': 1162416}, {'photo_id': 941300323, 'portfolio_id': 1162416}, {'photo_id': 941293390, 'portfolio_id': 1162416}, {'photo_id': 941292137, 'portfolio_id': 1162416}, {'photo_id': 941136019, 'portfolio_id': 1162416}, {'photo_id': 941125304, 'portfolio_id': 1162416}, {'photo_id': 941091474, 'portfolio_id': 1162416}, {'photo_id': 941020291, 'portfolio_id': 1162416}, {'photo_id': 940986395, 'portfolio_id': 1162416}, {'photo_id': 940978924, 'portfolio_id': 1162416}, {'photo_id': 940868650, 'portfolio_id': 1162416}, {'photo_id': 940850734, 'portfolio_id': 1162416}, {'photo_id': 940811912, 'portfolio_id': 1162416}, {'photo_id': 940808900, 'portfolio_id': 1162416}, {'photo_id': 940792162, 'portfolio_id': 1162416}, {'photo_id': 940765928, 'portfolio_id': 1162416}, {'photo_id': 940722192, 'portfolio_id': 1162416}, {'photo_id': 940704390, 'portfolio_id': 1162416}, {'photo_id': 940594612, 'portfolio_id': 1162416}, {'photo_id': 940438971, 'portfolio_id': 1162416}, {'photo_id': 940427986, 'portfolio_id': 1162416}, {'photo_id': 939848288, 'portfolio_id': 1162416}, {'photo_id': 939519185, 'portfolio_id': 1162416}, {'photo_id': 939357561, 'portfolio_id': 1162416}, {'photo_id': 939291834, 'portfolio_id': 1162416}, {'photo_id': 939284857, 'portfolio_id': 1162416}, {'photo_id': 939272028, 'portfolio_id': 1162416}, {'photo_id': 939180013, 'portfolio_id': 1162416}, {'photo_id': 939030086, 'portfolio_id': 1162416}, {'photo_id': 939026799, 'portfolio_id': 1162416}, {'photo_id': 939012622, 'portfolio_id': 1162416}, {'photo_id': 938992400, 'portfolio_id': 1162416}, {'photo_id': 938980801, 'portfolio_id': 1162416}, {'photo_id': 938850547, 'portfolio_id': 1162416}, {'photo_id': 938831138, 'portfolio_id': 1162416}, {'photo_id': 938758198, 'portfolio_id': 1162416}, {'photo_id': 938713762, 'portfolio_id': 1162416}, {'photo_id': 938649763, 'portfolio_id': 1162416}, {'photo_id': 938610200, 'portfolio_id': 1162416}, {'photo_id': 938458941, 'portfolio_id': 1162416}, {'photo_id': 938380185, 'portfolio_id': 1162416}, {'photo_id': 938350001, 'portfolio_id': 1162416}, {'photo_id': 938251522, 'portfolio_id': 1162416}, {'photo_id': 938166326, 'portfolio_id': 1162416}, {'photo_id': 938090140, 'portfolio_id': 1162416}, {'photo_id': 937766309, 'portfolio_id': 1162416}, {'photo_id': 937754100, 'portfolio_id': 1162416}, {'photo_id': 937748876, 'portfolio_id': 1162416}, {'photo_id': 937736267, 'portfolio_id': 1162416}, {'photo_id': 937671865, 'portfolio_id': 1162416}, {'photo_id': 937669453, 'portfolio_id': 1162416}, {'photo_id': 937648117, 'portfolio_id': 1162416}, {'photo_id': 937600045, 'portfolio_id': 1162416}, {'photo_id': 937578802, 'portfolio_id': 1162416}, {'photo_id': 937540518, 'portfolio_id': 1162416}, {'photo_id': 937486610, 'portfolio_id': 1162416}, {'photo_id': 937379363, 'portfolio_id': 1162416}, {'photo_id': 937355677, 'portfolio_id': 1162416}, {'photo_id': 937328715, 'portfolio_id': 1162416}, {'photo_id': 937311328, 'portfolio_id': 1162416}, {'photo_id': 937257995, 'portfolio_id': 1162416}, {'photo_id': 937224321, 'portfolio_id': 1162416}, {'photo_id': 937203361, 'portfolio_id': 1162416}, {'photo_id': 937156356, 'portfolio_id': 1162416}, {'photo_id': 937150674, 'portfolio_id': 1162416}, {'photo_id': 937142382, 'portfolio_id': 1162416}, {'photo_id': 937105034, 'portfolio_id': 1162416}, {'photo_id': 937101584, 'portfolio_id': 1162416}, {'photo_id': 937094928, 'portfolio_id': 1162416}, {'photo_id': 937088345, 'portfolio_id': 1162416}, {'photo_id': 937086761, 'portfolio_id': 1162416}, {'photo_id': 937075829, 'portfolio_id': 1162416}, {'photo_id': 937073328, 'portfolio_id': 1162416}, {'photo_id': 937066818, 'portfolio_id': 1162416}, {'photo_id': 937030339, 'portfolio_id': 1162416}, {'photo_id': 937004163, 'portfolio_id': 1162416}, {'photo_id': 936995510, 'portfolio_id': 1162416}, {'photo_id': 936969251, 'portfolio_id': 1162416}, {'photo_id': 936949793, 'portfolio_id': 1162416}, {'photo_id': 936893289, 'portfolio_id': 1162416}, {'photo_id': 936864307, 'portfolio_id': 1162416}, {'photo_id': 936857788, 'portfolio_id': 1162416}, {'photo_id': 936845391, 'portfolio_id': 1162416}, {'photo_id': 936839912, 'portfolio_id': 1162416}, {'photo_id': 936813401, 'portfolio_id': 1162416}, {'photo_id': 936800109, 'portfolio_id': 1162416}, {'photo_id': 936799499, 'portfolio_id': 1162416}, {'photo_id': 936796565, 'portfolio_id': 1162416}, {'photo_id': 936756197, 'portfolio_id': 1162416}, {'photo_id': 936713410, 'portfolio_id': 1162416}, {'photo_id': 936688647, 'portfolio_id': 1162416}, {'photo_id': 936673851, 'portfolio_id': 1162416}, {'photo_id': 936671139, 'portfolio_id': 1162416}, {'photo_id': 936660246, 'portfolio_id': 1162416}, {'photo_id': 936658203, 'portfolio_id': 1162416}, {'photo_id': 936647080, 'portfolio_id': 1162416}, {'photo_id': 936638493, 'portfolio_id': 1162416}, {'photo_id': 936625749, 'portfolio_id': 1162416}, {'photo_id': 936589574, 'portfolio_id': 1162416}, {'photo_id': 936573631, 'portfolio_id': 1162416}, {'photo_id': 936558714, 'portfolio_id': 1162416}, {'photo_id': 936558655, 'portfolio_id': 1162416}, {'photo_id': 936556013, 'portfolio_id': 1162416}, {'photo_id': 936554949, 'portfolio_id': 1162416}, {'photo_id': 936511308, 'portfolio_id': 1162416}, {'photo_id': 936508915, 'portfolio_id': 1162416}, {'photo_id': 936498864, 'portfolio_id': 1162416}, {'photo_id': 936489917, 'portfolio_id': 1162416}, {'photo_id': 936479480, 'portfolio_id': 1162416}, {'photo_id': 936423718, 'portfolio_id': 1162416}, {'photo_id': 936411992, 'portfolio_id': 1162416}, {'photo_id': 936407947, 'portfolio_id': 1162416}, {'photo_id': 936388160, 'portfolio_id': 1162416}, {'photo_id': 936366406, 'portfolio_id': 1162416}, {'photo_id': 936352744, 'portfolio_id': 1162416}, {'photo_id': 936331327, 'portfolio_id': 1162416}, {'photo_id': 936284870, 'portfolio_id': 1162416}, {'photo_id': 936259855, 'portfolio_id': 1162416}, {'photo_id': 936251065, 'portfolio_id': 1162416}, {'photo_id': 936242721, 'portfolio_id': 1162416}, {'photo_id': 936233702, 'portfolio_id': 1162416}, {'photo_id': 936192167, 'portfolio_id': 1162416}, {'photo_id': 936172667, 'portfolio_id': 1162416}, {'photo_id': 936132419, 'portfolio_id': 1162416}, {'photo_id': 936131711, 'portfolio_id': 1162416}, {'photo_id': 936118198, 'portfolio_id': 1162416}, {'photo_id': 936111324, 'portfolio_id': 1162416}, {'photo_id': 936096984, 'portfolio_id': 1162416}, {'photo_id': 936071533, 'portfolio_id': 1162416}, {'photo_id': 936051793, 'portfolio_id': 1162416}, {'photo_id': 936039368, 'portfolio_id': 1162416}, {'photo_id': 936027444, 'portfolio_id': 1162416}, {'photo_id': 936026429, 'portfolio_id': 1162416}, {'photo_id': 936023339, 'portfolio_id': 1162416}, {'photo_id': 936013781, 'portfolio_id': 1162416}, {'photo_id': 935974387, 'portfolio_id': 1162416}, {'photo_id': 935968604, 'portfolio_id': 1162416}, {'photo_id': 935927402, 'portfolio_id': 1162416}, {'photo_id': 935906662, 'portfolio_id': 1162416}, {'photo_id': 935880577, 'portfolio_id': 1162416}, {'photo_id': 935879181, 'portfolio_id': 1162416}, {'photo_id': 935867655, 'portfolio_id': 1162416}, {'photo_id': 935839613, 'portfolio_id': 1162416}, {'photo_id': 935838653, 'portfolio_id': 1162416}, {'photo_id': 935811770, 'portfolio_id': 1162416}, {'photo_id': 935798228, 'portfolio_id': 1162416}, {'photo_id': 935797142, 'portfolio_id': 1162416}, {'photo_id': 935782080, 'portfolio_id': 1162416}, {'photo_id': 935754507, 'portfolio_id': 1162416}, {'photo_id': 935746638, 'portfolio_id': 1162416}, {'photo_id': 935743753, 'portfolio_id': 1162416}, {'photo_id': 935727808, 'portfolio_id': 1162416}, {'photo_id': 935702888, 'portfolio_id': 1162416}, {'photo_id': 935682826, 'portfolio_id': 1162416}, {'photo_id': 935673256, 'portfolio_id': 1162416}, {'photo_id': 935665960, 'portfolio_id': 1162416}, {'photo_id': 935657965, 'portfolio_id': 1162416}, {'photo_id': 935632156, 'portfolio_id': 1162416}, {'photo_id': 935608640, 'portfolio_id': 1162416}, {'photo_id': 935606121, 'portfolio_id': 1162416}, {'photo_id': 935587873, 'portfolio_id': 1162416}, {'photo_id': 935581495, 'portfolio_id': 1162416}, {'photo_id': 935570289, 'portfolio_id': 1162416}, {'photo_id': 935542804, 'portfolio_id': 1162416}, {'photo_id': 935540246, 'portfolio_id': 1162416}, {'photo_id': 935527922, 'portfolio_id': 1162416}, {'photo_id': 935522299, 'portfolio_id': 1162416}, {'photo_id': 935504545, 'portfolio_id': 1162416}, {'photo_id': 935487449, 'portfolio_id': 1162416}, {'photo_id': 935486893, 'portfolio_id': 1162416}, {'photo_id': 935476932, 'portfolio_id': 1162416}, {'photo_id': 935462445, 'portfolio_id': 1162416}, {'photo_id': 935455206, 'portfolio_id': 1162416}, {'photo_id': 935434251, 'portfolio_id': 1162416}, {'photo_id': 935414326, 'portfolio_id': 1162416}, {'photo_id': 935401028, 'portfolio_id': 1162416}, {'photo_id': 935365627, 'portfolio_id': 1162416}, {'photo_id': 935339027, 'portfolio_id': 1162416}, {'photo_id': 935314273, 'portfolio_id': 1162416}, {'photo_id': 935312530, 'portfolio_id': 1162416}, {'photo_id': 935311160, 'portfolio_id': 1162416}, {'photo_id': 935310104, 'portfolio_id': 1162416}, {'photo_id': 935282714, 'portfolio_id': 1162416}, {'photo_id': 935268002, 'portfolio_id': 1162416}, {'photo_id': 935257365, 'portfolio_id': 1162416}, {'photo_id': 935220911, 'portfolio_id': 1162416}, {'photo_id': 935191890, 'portfolio_id': 1162416}, {'photo_id': 935163661, 'portfolio_id': 1162416}, {'photo_id': 935160386, 'portfolio_id': 1162416}, {'photo_id': 935020176, 'portfolio_id': 1162416}, {'photo_id': 935017927, 'portfolio_id': 1162416}, {'photo_id': 935008281, 'portfolio_id': 1162416}, {'photo_id': 935001343, 'portfolio_id': 1162416}, {'photo_id': 934995773, 'portfolio_id': 1162416}, {'photo_id': 934993225, 'portfolio_id': 1162416}, {'photo_id': 934925577, 'portfolio_id': 1162416}, {'photo_id': 934901098, 'portfolio_id': 1162416}, {'photo_id': 934899941, 'portfolio_id': 1162416}, {'photo_id': 934872361, 'portfolio_id': 1162416}, {'photo_id': 934867355, 'portfolio_id': 1162416}, {'photo_id': 934859534, 'portfolio_id': 1162416}, {'photo_id': 934742969, 'portfolio_id': 1162416}, {'photo_id': 934742764, 'portfolio_id': 1162416}, {'photo_id': 934713891, 'portfolio_id': 1162416}, {'photo_id': 934631028, 'portfolio_id': 1162416}, {'photo_id': 934628810, 'portfolio_id': 1162416}, {'photo_id': 934624902, 'portfolio_id': 1162416}, {'photo_id': 934624595, 'portfolio_id': 1162416}, {'photo_id': 934584345, 'portfolio_id': 1162416}, {'photo_id': 934565114, 'portfolio_id': 1162416}, {'photo_id': 934521998, 'portfolio_id': 1162416}, {'photo_id': 934517486, 'portfolio_id': 1162416}, {'photo_id': 934511694, 'portfolio_id': 1162416}, {'photo_id': 934465816, 'portfolio_id': 1162416}, {'photo_id': 934375607, 'portfolio_id': 1162416}, {'photo_id': 934361867, 'portfolio_id': 1162416}, {'photo_id': 934314535, 'portfolio_id': 1162416}, {'photo_id': 934302789, 'portfolio_id': 1162416}, {'photo_id': 934232847, 'portfolio_id': 1162416}, {'photo_id': 934216785, 'portfolio_id': 1162416}, {'photo_id': 934179595, 'portfolio_id': 1162416}, {'photo_id': 934165728, 'portfolio_id': 1162416}, {'photo_id': 934084733, 'portfolio_id': 1162416}, {'photo_id': 934053442, 'portfolio_id': 1162416}, {'photo_id': 933989628, 'portfolio_id': 1162416}, {'photo_id': 933954815, 'portfolio_id': 1162416}, {'photo_id': 933935574, 'portfolio_id': 1162416}, {'photo_id': 933927986, 'portfolio_id': 1162416}, {'photo_id': 933913583, 'portfolio_id': 1162416}, {'photo_id': 933880701, 'portfolio_id': 1162416}, {'photo_id': 933866195, 'portfolio_id': 1162416}, {'photo_id': 933844984, 'portfolio_id': 1162416}, {'photo_id': 933841899, 'portfolio_id': 1162416}, {'photo_id': 933816667, 'portfolio_id': 1162416}, {'photo_id': 933812049, 'portfolio_id': 1162416}, {'photo_id': 933787722, 'portfolio_id': 1162416}, {'photo_id': 933781367, 'portfolio_id': 1162416}, {'photo_id': 933778854, 'portfolio_id': 1162416}, {'photo_id': 933773078, 'portfolio_id': 1162416}, {'photo_id': 933742123, 'portfolio_id': 1162416}, {'photo_id': 933731195, 'portfolio_id': 1162416}, {'photo_id': 933729529, 'portfolio_id': 1162416}, {'photo_id': 933706317, 'portfolio_id': 1162416}, {'photo_id': 933690173, 'portfolio_id': 1162416}, {'photo_id': 933654913, 'portfolio_id': 1162416}, {'photo_id': 933653362, 'portfolio_id': 1162416}, {'photo_id': 933640270, 'portfolio_id': 1162416}, {'photo_id': 933606050, 'portfolio_id': 1162416}, {'photo_id': 933597585, 'portfolio_id': 1162416}, {'photo_id': 933575796, 'portfolio_id': 1162416}, {'photo_id': 933574212, 'portfolio_id': 1162416}, {'photo_id': 933565535, 'portfolio_id': 1162416}, {'photo_id': 933562125, 'portfolio_id': 1162416}, {'photo_id': 933551473, 'portfolio_id': 1162416}, {'photo_id': 933548803, 'portfolio_id': 1162416}, {'photo_id': 933526432, 'portfolio_id': 1162416}, {'photo_id': 933511800, 'portfolio_id': 1162416}, {'photo_id': 933510842, 'portfolio_id': 1162416}, {'photo_id': 933488630, 'portfolio_id': 1162416}, {'photo_id': 933474800, 'portfolio_id': 1162416}, {'photo_id': 933470378, 'portfolio_id': 1162416}, {'photo_id': 933469148, 'portfolio_id': 1162416}, {'photo_id': 933465631, 'portfolio_id': 1162416}, {'photo_id': 933465170, 'portfolio_id': 1162416}, {'photo_id': 933464015, 'portfolio_id': 1162416}, {'photo_id': 933458272, 'portfolio_id': 1162416}, {'photo_id': 933447542, 'portfolio_id': 1162416}, {'photo_id': 933442036, 'portfolio_id': 1162416}, {'photo_id': 933434339, 'portfolio_id': 1162416}, {'photo_id': 933433865, 'portfolio_id': 1162416}, {'photo_id': 933427621, 'portfolio_id': 1162416}, {'photo_id': 933404791, 'portfolio_id': 1162416}, {'photo_id': 933398828, 'portfolio_id': 1162416}, {'photo_id': 933392302, 'portfolio_id': 1162416}, {'photo_id': 933366682, 'portfolio_id': 1162416}, {'photo_id': 933340888, 'portfolio_id': 1162416}, {'photo_id': 933293424, 'portfolio_id': 1162416}, {'photo_id': 933292040, 'portfolio_id': 1162416}, {'photo_id': 933289639, 'portfolio_id': 1162416}, {'photo_id': 933287052, 'portfolio_id': 1162416}, {'photo_id': 933285616, 'portfolio_id': 1162416}, {'photo_id': 933262289, 'portfolio_id': 1162416}, {'photo_id': 933227061, 'portfolio_id': 1162416}, {'photo_id': 933222238, 'portfolio_id': 1162416}, {'photo_id': 933218878, 'portfolio_id': 1162416}, {'photo_id': 933209540, 'portfolio_id': 1162416}, {'photo_id': 933209509, 'portfolio_id': 1162416}, {'photo_id': 933188916, 'portfolio_id': 1162416}, {'photo_id': 933188860, 'portfolio_id': 1162416}, {'photo_id': 933182557, 'portfolio_id': 1162416}, {'photo_id': 933171079, 'portfolio_id': 1162416}, {'photo_id': 933170112, 'portfolio_id': 1162416}, {'photo_id': 933165203, 'portfolio_id': 1162416}, {'photo_id': 933159590, 'portfolio_id': 1162416}, {'photo_id': 933148597, 'portfolio_id': 1162416}, {'photo_id': 933147152, 'portfolio_id': 1162416}, {'photo_id': 933137346, 'portfolio_id': 1162416}, {'photo_id': 933134008, 'portfolio_id': 1162416}, {'photo_id': 933118814, 'portfolio_id': 1162416}, {'photo_id': 933107878, 'portfolio_id': 1162416}, {'photo_id': 933106317, 'portfolio_id': 1162416}, {'photo_id': 933095005, 'portfolio_id': 1162416}, {'photo_id': 933084920, 'portfolio_id': 1162416}, {'photo_id': 933064294, 'portfolio_id': 1162416}, {'photo_id': 933056512, 'portfolio_id': 1162416}, {'photo_id': 933028399, 'portfolio_id': 1162416}, {'photo_id': 933018218, 'portfolio_id': 1162416}, {'photo_id': 933017684, 'portfolio_id': 1162416}, {'photo_id': 933015896, 'portfolio_id': 1162416}, {'photo_id': 933012980, 'portfolio_id': 1162416}, {'photo_id': 933007049, 'portfolio_id': 1162416}, {'photo_id': 932985952, 'portfolio_id': 1162416}, {'photo_id': 932948430, 'portfolio_id': 1162416}, {'photo_id': 932945415, 'portfolio_id': 1162416}, {'photo_id': 932940145, 'portfolio_id': 1162416}, {'photo_id': 932934917, 'portfolio_id': 1162416}, {'photo_id': 932926613, 'portfolio_id': 1162416}, {'photo_id': 932856554, 'portfolio_id': 1162416}, {'photo_id': 932850708, 'portfolio_id': 1162416}, {'photo_id': 932835046, 'portfolio_id': 1162416}, {'photo_id': 932825525, 'portfolio_id': 1162416}, {'photo_id': 932791970, 'portfolio_id': 1162416}, {'photo_id': 932775841, 'portfolio_id': 1162416}, {'photo_id': 932775532, 'portfolio_id': 1162416}, {'photo_id': 932753089, 'portfolio_id': 1162416}, {'photo_id': 932734982, 'portfolio_id': 1162416}, {'photo_id': 932732140, 'portfolio_id': 1162416}, {'photo_id': 932715670, 'portfolio_id': 1162416}, {'photo_id': 932702144, 'portfolio_id': 1162416}, {'photo_id': 932689249, 'portfolio_id': 1162416}, {'photo_id': 932687750, 'portfolio_id': 1162416}, {'photo_id': 932663958, 'portfolio_id': 1162416}, {'photo_id': 932641430, 'portfolio_id': 1162416}, {'photo_id': 932637273, 'portfolio_id': 1162416}, {'photo_id': 932626128, 'portfolio_id': 1162416}, {'photo_id': 932622490, 'portfolio_id': 1162416}, {'photo_id': 932614672, 'portfolio_id': 1162416}, {'photo_id': 932611887, 'portfolio_id': 1162416}, {'photo_id': 932594022, 'portfolio_id': 1162416}, {'photo_id': 932592002, 'portfolio_id': 1162416}, {'photo_id': 932587952, 'portfolio_id': 1162416}, {'photo_id': 932584560, 'portfolio_id': 1162416}, {'photo_id': 932529942, 'portfolio_id': 1162416}, {'photo_id': 932510942, 'portfolio_id': 1162416}, {'photo_id': 932503866, 'portfolio_id': 1162416}, {'photo_id': 932493742, 'portfolio_id': 1162416}, {'photo_id': 932492771, 'portfolio_id': 1162416}, {'photo_id': 932492210, 'portfolio_id': 1162416}, {'photo_id': 932481861, 'portfolio_id': 1162416}, {'photo_id': 932481163, 'portfolio_id': 1162416}, {'photo_id': 932445203, 'portfolio_id': 1162416}, {'photo_id': 932443152, 'portfolio_id': 1162416}, {'photo_id': 932442403, 'portfolio_id': 1162416}, {'photo_id': 932428564, 'portfolio_id': 1162416}, {'photo_id': 932426126, 'portfolio_id': 1162416}, {'photo_id': 932417693, 'portfolio_id': 1162416}, {'photo_id': 932345373, 'portfolio_id': 1162416}, {'photo_id': 932294464, 'portfolio_id': 1162416}, {'photo_id': 932283147, 'portfolio_id': 1162416}, {'photo_id': 932260018, 'portfolio_id': 1162416}, {'photo_id': 932256214, 'portfolio_id': 1162416}, {'photo_id': 932254354, 'portfolio_id': 1162416}, {'photo_id': 932244469, 'portfolio_id': 1162416}, {'photo_id': 932240365, 'portfolio_id': 1162416}, {'photo_id': 932240186, 'portfolio_id': 1162416}, {'photo_id': 932235720, 'portfolio_id': 1162416}, {'photo_id': 932217847, 'portfolio_id': 1162416}, {'photo_id': 932161257, 'portfolio_id': 1162416}, {'photo_id': 932158710, 'portfolio_id': 1162416}, {'photo_id': 932148033, 'portfolio_id': 1162416}, {'photo_id': 932143168, 'portfolio_id': 1162416}, {'photo_id': 932143023, 'portfolio_id': 1162416}, {'photo_id': 932133972, 'portfolio_id': 1162416}, {'photo_id': 932133490, 'portfolio_id': 1162416}, {'photo_id': 932104358, 'portfolio_id': 1162416}, {'photo_id': 932103673, 'portfolio_id': 1162416}, {'photo_id': 932100179, 'portfolio_id': 1162416}, {'photo_id': 932095582, 'portfolio_id': 1162416}, {'photo_id': 932083835, 'portfolio_id': 1162416}, {'photo_id': 930980012, 'portfolio_id': 1162416}, {'photo_id': 930780618, 'portfolio_id': 1162416}, {'photo_id': 930713751, 'portfolio_id': 1162416}, {'photo_id': 930694004, 'portfolio_id': 1162416}, {'photo_id': 930693115, 'portfolio_id': 1162416}, {'photo_id': 930691654, 'portfolio_id': 1162416}, {'photo_id': 930690959, 'portfolio_id': 1162416}, {'photo_id': 930681528, 'portfolio_id': 1162416}, {'photo_id': 930667883, 'portfolio_id': 1162416}, {'photo_id': 930667320, 'portfolio_id': 1162416}, {'photo_id': 930665602, 'portfolio_id': 1162416}, {'photo_id': 930655794, 'portfolio_id': 1162416}, {'photo_id': 930651385, 'portfolio_id': 1162416}, {'photo_id': 930568395, 'portfolio_id': 1162416}, {'photo_id': 930525518, 'portfolio_id': 1162416}, {'photo_id': 930507723, 'portfolio_id': 1162416}, {'photo_id': 930477858, 'portfolio_id': 1162416}, {'photo_id': 930473393, 'portfolio_id': 1162416}, {'photo_id': 930449642, 'portfolio_id': 1162416}, {'photo_id': 930444050, 'portfolio_id': 1162416}, {'photo_id': 930435847, 'portfolio_id': 1162416}, {'photo_id': 930424602, 'portfolio_id': 1162416}, {'photo_id': 930420339, 'portfolio_id': 1162416}, {'photo_id': 930413269, 'portfolio_id': 1162416}, {'photo_id': 930374680, 'portfolio_id': 1162416}, {'photo_id': 930368567, 'portfolio_id': 1162416}, {'photo_id': 930351271, 'portfolio_id': 1162416}, {'photo_id': 930350299, 'portfolio_id': 1162416}, {'photo_id': 930344413, 'portfolio_id': 1162416}, {'photo_id': 930315869, 'portfolio_id': 1162416}, {'photo_id': 930274683, 'portfolio_id': 1162416}, {'photo_id': 930266874, 'portfolio_id': 1162416}, {'photo_id': 930254492, 'portfolio_id': 1162416}, {'photo_id': 930250413, 'portfolio_id': 1162416}, {'photo_id': 930241692, 'portfolio_id': 1162416}, {'photo_id': 930238033, 'portfolio_id': 1162416}, {'photo_id': 930234225, 'portfolio_id': 1162416}, {'photo_id': 930226690, 'portfolio_id': 1162416}, {'photo_id': 930169133, 'portfolio_id': 1162416}, {'photo_id': 930151813, 'portfolio_id': 1162416}, {'photo_id': 930121174, 'portfolio_id': 1162416}, {'photo_id': 930036928, 'portfolio_id': 1162416}, {'photo_id': 930004214, 'portfolio_id': 1162416}, {'photo_id': 929997042, 'portfolio_id': 1162416}, {'photo_id': 929995451, 'portfolio_id': 1162416}, {'photo_id': 929952896, 'portfolio_id': 1162416}, {'photo_id': 929938277, 'portfolio_id': 1162416}, {'photo_id': 929917391, 'portfolio_id': 1162416}, {'photo_id': 929867509, 'portfolio_id': 1162416}, {'photo_id': 929852170, 'portfolio_id': 1162416}, {'photo_id': 929841716, 'portfolio_id': 1162416}, {'photo_id': 929821336, 'portfolio_id': 1162416}, {'photo_id': 929819490, 'portfolio_id': 1162416}, {'photo_id': 929809329, 'portfolio_id': 1162416}, {'photo_id': 929807315, 'portfolio_id': 1162416}, {'photo_id': 929806174, 'portfolio_id': 1162416}, {'photo_id': 929802254, 'portfolio_id': 1162416}, {'photo_id': 929791288, 'portfolio_id': 1162416}, {'photo_id': 929786343, 'portfolio_id': 1162416}, {'photo_id': 929776980, 'portfolio_id': 1162416}, {'photo_id': 929763532, 'portfolio_id': 1162416}, {'photo_id': 929745750, 'portfolio_id': 1162416}, {'photo_id': 929729136, 'portfolio_id': 1162416}, {'photo_id': 929710389, 'portfolio_id': 1162416}, {'photo_id': 929698707, 'portfolio_id': 1162416}, {'photo_id': 929693999, 'portfolio_id': 1162416}, {'photo_id': 929650200, 'portfolio_id': 1162416}, {'photo_id': 929621894, 'portfolio_id': 1162416}, {'photo_id': 929547491, 'portfolio_id': 1162416}, {'photo_id': 929542401, 'portfolio_id': 1162416}, {'photo_id': 929537894, 'portfolio_id': 1162416}, {'photo_id': 929528050, 'portfolio_id': 1162416}, {'photo_id': 929525456, 'portfolio_id': 1162416}, {'photo_id': 929515829, 'portfolio_id': 1162416}]
 map_portfolio_id_photo_id: {1162416: [947118557, 947117332, 947116978, 947094003, 947074070, 947073868, 947073564, 947072790, 947064745, 947063327, 947063078, 947038224, 947037232, 947005262, 946989144, 946963782, 946937784, 946937387, 946921140, 946892570, 946871837, 946846441, 946833000, 946798783, 946781036, 946759661, 946624058, 946586956, 946572679, 946545288, 946540235, 946528705, 946522227, 946467551, 946447431, 946424646, 946395673, 946378913, 946352329, 946349460, 946325476, 946311655, 946303194, 946292480, 946271387, 946261683, 946224205, 946205223, 946202180, 946179949, 946179401, 946171142, 946151090, 946137099, 946121367, 946117923, 946084305, 946064005, 946063873, 946047653, 946041177, 946005848, 945991006, 945988446, 945978492, 945929143, 945913126, 945902755, 945865172, 945847594, 945820988, 945808991, 945804788, 945786172, 945772118, 945737783, 945708251, 945603688, 945584945, 945564403, 945554348, 945552710, 945463329, 945460339, 945436913, 945420368, 945415177, 945376098, 945354589, 945300895, 945294858, 945293053, 945291369, 945254633, 945091973, 945073877, 945001039, 944942990, 944862533, 944857075, 944829478, 944824017, 944803588, 944803368, 944794005, 944764793, 944756087, 944711406, 944686636, 944636249, 944623375, 944615894, 944585666, 944580397, 944536912, 944535462, 944525224, 944517156, 941317713, 941308810, 941302268, 941300768, 941300323, 941293390, 941292137, 941136019, 941125304, 941091474, 941020291, 940986395, 940978924, 940868650, 940850734, 940811912, 940808900, 940792162, 940765928, 940722192, 940704390, 940594612, 940438971, 940427986, 939848288, 939519185, 939357561, 939291834, 939284857, 939272028, 939180013, 939030086, 939026799, 939012622, 938992400, 938980801, 938850547, 938831138, 938758198, 938713762, 938649763, 938610200, 938458941, 938380185, 938350001, 938251522, 938166326, 938090140, 937766309, 937754100, 937748876, 937736267, 937671865, 937669453, 937648117, 937600045, 937578802, 937540518, 937486610, 937379363, 937355677, 937328715, 937311328, 937257995, 937224321, 937203361, 937156356, 937150674, 937142382, 937105034, 937101584, 937094928, 937088345, 937086761, 937075829, 937073328, 937066818, 937030339, 937004163, 936995510, 936969251, 936949793, 936893289, 936864307, 936857788, 936845391, 936839912, 936813401, 936800109, 936799499, 936796565, 936756197, 936713410, 936688647, 936673851, 936671139, 936660246, 936658203, 936647080, 936638493, 936625749, 936589574, 936573631, 936558714, 936558655, 936556013, 936554949, 936511308, 936508915, 936498864, 936489917, 936479480, 936423718, 936411992, 936407947, 936388160, 936366406, 936352744, 936331327, 936284870, 936259855, 936251065, 936242721, 936233702, 936192167, 936172667, 936132419, 936131711, 936118198, 936111324, 936096984, 936071533, 936051793, 936039368, 936027444, 936026429, 936023339, 936013781, 935974387, 935968604, 935927402, 935906662, 935880577, 935879181, 935867655, 935839613, 935838653, 935811770, 935798228, 935797142, 935782080, 935754507, 935746638, 935743753, 935727808, 935702888, 935682826, 935673256, 935665960, 935657965, 935632156, 935608640, 935606121, 935587873, 935581495, 935570289, 935542804, 935540246, 935527922, 935522299, 935504545, 935487449, 935486893, 935476932, 935462445, 935455206, 935434251, 935414326, 935401028, 935365627, 935339027, 935314273, 935312530, 935311160, 935310104, 935282714, 935268002, 935257365, 935220911, 935191890, 935163661, 935160386, 935020176, 935017927, 935008281, 935001343, 934995773, 934993225, 934925577, 934901098, 934899941, 934872361, 934867355, 934859534, 934742969, 934742764, 934713891, 934631028, 934628810, 934624902, 934624595, 934584345, 934565114, 934521998, 934517486, 934511694, 934465816, 934375607, 934361867, 934314535, 934302789, 934232847, 934216785, 934179595, 934165728, 934084733, 934053442, 933989628, 933954815, 933935574, 933927986, 933913583, 933880701, 933866195, 933844984, 933841899, 933816667, 933812049, 933787722, 933781367, 933778854, 933773078, 933742123, 933731195, 933729529, 933706317, 933690173, 933654913, 933653362, 933640270, 933606050, 933597585, 933575796, 933574212, 933565535, 933562125, 933551473, 933548803, 933526432, 933511800, 933510842, 933488630, 933474800, 933470378, 933469148, 933465631, 933465170, 933464015, 933458272, 933447542, 933442036, 933434339, 933433865, 933427621, 933404791, 933398828, 933392302, 933366682, 933340888, 933293424, 933292040, 933289639, 933287052, 933285616, 933262289, 933227061, 933222238, 933218878, 933209540, 933209509, 933188916, 933188860, 933182557, 933171079, 933170112, 933165203, 933159590, 933148597, 933147152, 933137346, 933134008, 933118814, 933107878, 933106317, 933095005, 933084920, 933064294, 933056512, 933028399, 933018218, 933017684, 933015896, 933012980, 933007049, 932985952, 932948430, 932945415, 932940145, 932934917, 932926613, 932856554, 932850708, 932835046, 932825525, 932791970, 932775841, 932775532, 932753089, 932734982, 932732140, 932715670, 932702144, 932689249, 932687750, 932663958, 932641430, 932637273, 932626128, 932622490, 932614672, 932611887, 932594022, 932592002, 932587952, 932584560, 932529942, 932510942, 932503866, 932493742, 932492771, 932492210, 932481861, 932481163, 932445203, 932443152, 932442403, 932428564, 932426126, 932417693, 932345373, 932294464, 932283147, 932260018, 932256214, 932254354, 932244469, 932240365, 932240186, 932235720, 932217847, 932161257, 932158710, 932148033, 932143168, 932143023, 932133972, 932133490, 932104358, 932103673, 932100179, 932095582, 932083835, 930980012, 930780618, 930713751, 930694004, 930693115, 930691654, 930690959, 930681528, 930667883, 930667320, 930665602, 930655794, 930651385, 930568395, 930525518, 930507723, 930477858, 930473393, 930449642, 930444050, 930435847, 930424602, 930420339, 930413269, 930374680, 930368567, 930351271, 930350299, 930344413, 930315869, 930274683, 930266874, 930254492, 930250413, 930241692, 930238033, 930234225, 930226690, 930169133, 930151813, 930121174, 930036928, 930004214, 929997042, 929995451, 929952896, 929938277, 929917391, 929867509, 929852170, 929841716, 929821336, 929819490, 929809329, 929807315, 929806174, 929802254, 929791288, 929786343, 929776980, 929763532, 929745750, 929729136, 929710389, 929698707, 929693999, 929650200, 929621894, 929547491, 929542401, 929537894, 929528050, 929525456, 929515829]}
we need 574 photos
there is already 574 photos exist in our local_cache
we have to download 0 photos
we have successful downloaded 0 photos
there are 0 photos missing
finally, we can get 574 photo needed from our local_cache
list of photo_id_missing : 
[]

test download a list if photos : 10 photos (6 exist in ovh and 4 missing in ovh)

        SELECT photo_id, url_medium
        FROM MTRBack.photos ph
        WHERE photo_id IN (1109585436,1109585120,1109585121,1109585109,944829478,944824017,944803588,944803368,944794005,944764793) 
 Found this number of photos: 10
we need 10 photos
there is already 6 photos exist in our local_cache
we have to download 4 photos
download_photo : 1 to 2000
begin to download photo : 1109585109
begin to download photo : 1109585120
begin to download photo : 1109585121
begin to download photo : 1109585436
HTTP Error 404: Not Found
can't download the photo : 1109585121
download finish for photo 1109585121
HTTP Error 404: Not Found
can't download the photo : 1109585120
download finish for photo 1109585120
HTTP Error 404: Not Found
can't download the photo : 1109585436
download finish for photo 1109585436
HTTP Error 404: Not Found
can't download the photo : 1109585109
download finish for photo 1109585109
we have successful downloaded 0 photos
there are 4 photos missing
finally, we can get 6 photo needed from our local_cache
list of photo_id_missing : 
[1109585121, 1109585120, 1109585436, 1109585109]

############################### test_update_time_created ################################

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (936407947) 
 Found this number of photos: 1
we need 1 photos
there is already 1 photos exist in our local_cache
we have to download 0 photos
we have successful downloaded 0 photos
there are 0 photos missing
finally, we can get 1 photo needed from our local_cache
list of photo_id_missing : 
[]

#&_#_#&_# TEST cache photo data SUCCEEDED #&_#_#&_#


#&_# TEST SUCCEEDED #&_# : tests/cache_photo_data_test #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"CachePhotoData_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','CachePhotoData_queries','unknown');

#&_# END OF TEST #&_# : tests/cache_photo_data_test #&_# 





#&_# BEGIN OF TEST : mtr/mask_rcnn/prepare_maskdata #&_# 


/home/admin/workarea/git/Velours/python/mtr/mask_rcnn/prepare_maskdata.py
<module 'mtr.mask_rcnn.prepare_maskdata' from '/home/admin/workarea/git/Velours/python/mtr/mask_rcnn/prepare_maskdata.py'>
test prepare mask data
 c : Plaque-immatriculation
2096875719
 c : capot
599722655

            SELECT photo_id
            FROM MTRPhoto.crop_hashtag_ids
            WHERE  type= 840 and photo_id in (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos 
        where mtr_portfolio_id = 2069971 and hide_status = 0)  group by photo_id
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907850592) and `type` in (840) 
Loaded 20 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33750301,33750302,33750303,33750304,33750305,33750306,33750307,33750308,33750309,33750310,33750311,33750312,33750313,33750314,33750315,33750316,33750317,33750318,33750319,33750320)
++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33750301,33750302,33750303,33750304,33750305,33750306,33750307,33750308,33750309,33750310,33750311,33750312,33750313,33750314,33750315,33750316,33750317,33750318,33750319,33750320)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33750301,33750302,33750303,33750304,33750305,33750306,33750307,33750308,33750309,33750310,33750311,33750312,33750313,33750314,33750315,33750316,33750317,33750318,33750319,33750320)
{907850592: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de671c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de672b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de674c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de671f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de673d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67f70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67eb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de678b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67dc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de674f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67340>]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907857924) and `type` in (840) 
Loaded 16 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33749327,33749328,33749329,33749330,33749331,33749332,33749333,33749334,33749335,33749336,33749337,33749338,33749339,33749340,33749341,33749342)
+++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33749327,33749328,33749329,33749330,33749331,33749332,33749333,33749334,33749335,33749336,33749337,33749338,33749339,33749340,33749341,33749342)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33749327,33749328,33749329,33749330,33749331,33749332,33749333,33749334,33749335,33749336,33749337,33749338,33749339,33749340,33749341,33749342)
{907857924: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de676d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de673a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d49a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4c70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4be0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d43d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4640>]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907862724) and `type` in (840) 
Loaded 20 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33750565,33750566,33750567,33750568,33750569,33750570,33750571,33750572,33750573,33750574,33750575,33750576,33750577,33750578,33750579,33750580,33750581,33750582,33750583,33750584)
++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33750565,33750566,33750567,33750568,33750569,33750570,33750571,33750572,33750573,33750574,33750575,33750576,33750577,33750578,33750579,33750580,33750581,33750582,33750583,33750584)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33750565,33750566,33750567,33750568,33750569,33750570,33750571,33750572,33750573,33750574,33750575,33750576,33750577,33750578,33750579,33750580,33750581,33750582,33750583,33750584)
{907862724: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4af0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4ca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d41f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4c10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d46a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d45b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4550>]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907863602) and `type` in (840) 
Loaded 19 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33747793,33747794,33747795,33747796,33747797,33747798,33747799,33747800,33747801,33747802,33747803,33747804,33747805,33747806,33747807,33747808,33747809,33747810,33747811)
++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33747793,33747794,33747795,33747796,33747797,33747798,33747799,33747800,33747801,33747802,33747803,33747804,33747805,33747806,33747807,33747808,33747809,33747810,33747811)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33747793,33747794,33747795,33747796,33747797,33747798,33747799,33747800,33747801,33747802,33747803,33747804,33747805,33747806,33747807,33747808,33747809,33747810,33747811)
{907863602: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de673a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de675e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d49a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4c70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4be0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d43d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d44c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d49d0>]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907863940) and `type` in (840) 
Loaded 20 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33747538,33747539,33747540,33747541,33747542,33747543,33747544,33747545,33747546,33747547,33747548,33747549,33747550,33747551,33747552,33747553,33747554,33747555,33747556,33747557)
++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33747538,33747539,33747540,33747541,33747542,33747543,33747544,33747545,33747546,33747547,33747548,33747549,33747550,33747551,33747552,33747553,33747554,33747555,33747556,33747557)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33747538,33747539,33747540,33747541,33747542,33747543,33747544,33747545,33747546,33747547,33747548,33747549,33747550,33747551,33747552,33747553,33747554,33747555,33747556,33747557)
{907863940: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4d90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4e20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4eb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d41c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d42e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4fa0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d47c0>]}
{2096875719: 'Plaque-immatriculation', 599722655: 'capot'}
{907850592: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de671c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de672b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de674c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de671f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de673d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67f70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67eb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de678b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67dc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de674f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67340>], 907862724: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4af0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4ca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d41f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4c10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d46a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d45b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4550>], 907863602: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de673a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de675e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d49a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4c70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4be0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d43d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d44c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d49d0>], 907863940: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4d90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4e20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4eb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d41c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d42e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4fa0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d4820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d9c3d47c0>]}
dict_keys([907850592, 907862724, 907863602, 907863940])

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (907850592,907862724,907863602,907863940) 
 Found this number of photos: 4
[{'photo_id': 907850592, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/6/16/ed4966e7174a77396ac8fcda79dbb623-big.jpg'}, {'photo_id': 907862724, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/6/16/832cac3a051929b54bf6624844e6ae19-big.jpg'}, {'photo_id': 907863602, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/6/16/9bdc888dccb678f78cae7bd094089fa8-big.jpg'}, {'photo_id': 907863940, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/6/16/eab8c1f33202454ec634f443beea6485-big.jpg'}]
{907850592: '/data/data_root/test_preparedata/train/907850592.jpg', 907862724: '/data/data_root/test_preparedata/train/907862724.jpg', 907863602: '/data/data_root/test_preparedata/train/907863602.jpg', 907863940: '/data/data_root/test_preparedata/val/907863940.jpg'}
logo-marque
2096875717
907850592
 x0 : 38 y1 : 269 width : 32, height : 38, area : 1216, score : 1.0
None
pare-choc
624624117
907850592
 x0 : 0 y1 : 559 width : 362, height : 235, area : 85070, score : 1.0
None
coffre
495920967
907850592
 x0 : 0 y1 : 398 width : 302, height : 336, area : 101472, score : 1.0
None
coffre
495920967
907850592
 x0 : 626 y1 : 206 width : 18, height : 35, area : 630, score : 1.0
None
aile-arriere
2106233861
907850592
 x0 : 189 y1 : 476 width : 282, height : 235, area : 66270, score : 1.0
None
roue
492689227
907850592
 x0 : 275 y1 : 620 width : 170, height : 215, area : 36550, score : 1.0
None
Plaque-immatriculation
2096875719
907850592
 x0 : 10 y1 : 454 width : 108, height : 84, area : 9072, score : 1.0
None
feu-arriere
2096875713
907850592
 x0 : 192 y1 : 359 width : 147, height : 96, area : 14112, score : 1.0
None
poignee
499500794
907850592
 x0 : 437 y1 : 315 width : 42, height : 37, area : 1554, score : 1.0
None
poignee
499500794
907850592
 x0 : 567 y1 : 282 width : 25, height : 31, area : 775, score : 1.0
None
Pot-echappement
2096875720
907850592
 x0 : 155 y1 : 532 width : 21, height : 20, area : 420, score : 1.0
None
toit
492731002
907850592
 x0 : 136 y1 : 74 width : 281, height : 21, area : 5901, score : 1.0
None
Pare-brise
2096875709
907850592
 x0 : 1 y1 : 241 width : 285, height : 165, area : 47025, score : 1.0
None
porte
492654799
907850592
 x0 : 354 y1 : 442 width : 210, height : 380, area : 79800, score : 1.0
None
porte
492654799
907850592
 x0 : 501 y1 : 389 width : 135, height : 324, area : 43740, score : 1.0
None
Info-modele
2096875721
907850592
 x0 : 132 y1 : 295 width : 53, height : 31, area : 1643, score : 1.0
None
vitre
492925064
907850592
 x0 : 407 y1 : 201 width : 123, height : 122, area : 15006, score : 1.0
None
vitre
492925064
907850592
 x0 : 377 y1 : 201 width : 64, height : 118, area : 7552, score : 1.0
None
vitre
492925064
907850592
 x0 : 522 y1 : 203 width : 102, height : 120, area : 12240, score : 1.0
None
Essuie-glace
2096875722
907850592
 x0 : 7 y1 : 250 width : 72, height : 61, area : 4392, score : 1.0
None
/data/data_root/test_preparedata/train/907850592.jpg
logo-marque
2096875717
907862724
 x0 : 100 y1 : 282 width : 35, height : 41, area : 1435, score : 1.0
None
pare-choc
624624117
907862724
 x0 : 1 y1 : 483 width : 435, height : 194, area : 84390, score : 1.0
None
aile-arriere
2106233861
907862724
 x0 : 399 y1 : 411 width : 110, height : 128, area : 14080, score : 1.0
None
retroviseur
492844413
907862724
 x0 : 600 y1 : 203 width : 41, height : 37, area : 1517, score : 1.0
None
coffre
495920967
907862724
 x0 : 5 y1 : 351 width : 369, height : 270, area : 99630, score : 1.0
None
Cache-reservoir
2096875718
907862724
 x0 : 417 y1 : 289 width : 50, height : 61, area : 3050, score : 1.0
None
roue
492689227
907862724
 x0 : 367 y1 : 541 width : 121, height : 190, area : 22990, score : 1.0
None
poignee
499500794
907862724
 x0 : 478 y1 : 275 width : 33, height : 25, area : 825, score : 1.0
None
toit
492731002
907862724
 x0 : 226 y1 : 110 width : 223, height : 36, area : 8028, score : 1.0
None
feu-arriere
2096875713
907862724
 x0 : 294 y1 : 331 width : 112, height : 146, area : 16352, score : 1.0
None
poignee
499500794
907862724
 x0 : 566 y1 : 252 width : 20, height : 27, area : 540, score : 1.0
None
Plaque-immatriculation
2096875719
907862724
 x0 : 55 y1 : 436 width : 142, height : 54, area : 7668, score : 1.0
None
Pare-brise
2096875709
907862724
 x0 : 6 y1 : 225 width : 366, height : 132, area : 48312, score : 1.0
None
porte
492654799
907862724
 x0 : 395 y1 : 391 width : 170, height : 311, area : 52870, score : 1.0
None
porte
492654799
907862724
 x0 : 508 y1 : 354 width : 101, height : 269, area : 27169, score : 1.0
None
vitre
492925064
907862724
 x0 : 451 y1 : 202 width : 85, height : 99, area : 8415, score : 1.0
None
vitre
492925064
907862724
 x0 : 524 y1 : 202 width : 70, height : 99, area : 6930, score : 1.0
None
vitre
492925064
907862724
 x0 : 428 y1 : 208 width : 50, height : 102, area : 5100, score : 1.0
None
Essuie-glace
2096875722
907862724
 x0 : 114 y1 : 218 width : 186, height : 27, area : 5022, score : 1.0
None
Info-modele
2096875721
907862724
 x0 : 10 y1 : 306 width : 41, height : 33, area : 1353, score : 1.0
None
/data/data_root/test_preparedata/train/907862724.jpg
porte
492654799
907863602
 x0 : 129 y1 : 380 width : 300, height : 279, area : 83700, score : 1.0
None
porte
492654799
907863602
 x0 : 193 y1 : 345 width : 228, height : 215, area : 49020, score : 1.0
None
porte
492654799
907863602
 x0 : 379 y1 : 385 width : 257, height : 286, area : 73502, score : 1.0
None
porte
492654799
907863602
 x0 : 400 y1 : 365 width : 195, height : 248, area : 48360, score : 1.0
None
roue
492689227
907863602
 x0 : 0 y1 : 419 width : 124, height : 148, area : 18352, score : 1.0
None
roue
492689227
907863602
 x0 : 0 y1 : 411 width : 127, height : 129, area : 16383, score : 1.0
None
roue
492689227
907863602
 x0 : 580 y1 : 449 width : 60, height : 129, area : 7740, score : 1.0
None
roue
492689227
907863602
 x0 : 584 y1 : 444 width : 50, height : 126, area : 6300, score : 1.0
None
retroviseur
492844413
907863602
 x0 : 165 y1 : 225 width : 53, height : 51, area : 2703, score : 1.0
None
vitre
492925064
907863602
 x0 : 211 y1 : 218 width : 197, height : 109, area : 21473, score : 1.0
None
vitre
492925064
907863602
 x0 : 217 y1 : 214 width : 193, height : 99, area : 19107, score : 1.0
None
vitre
492925064
907863602
 x0 : 409 y1 : 214 width : 188, height : 98, area : 18424, score : 1.0
None
vitre
492925064
907863602
 x0 : 414 y1 : 206 width : 187, height : 96, area : 17952, score : 1.0
None
poignee
499500794
907863602
 x0 : 320 y1 : 271 width : 46, height : 19, area : 874, score : 1.0
None
poignee
499500794
907863602
 x0 : 321 y1 : 270 width : 44, height : 19, area : 836, score : 1.0
None
poignee
499500794
907863602
 x0 : 553 y1 : 270 width : 62, height : 25, area : 1550, score : 1.0
None
poignee
499500794
907863602
 x0 : 565 y1 : 266 width : 42, height : 16, area : 672, score : 1.0
None
capot
599722655
907863602
 x0 : -1 y1 : 215 width : 135, height : 37, area : 4995, score : 1.0
None
capot
599722655
907863602
 x0 : 242 y1 : 123 width : 330, height : 52, area : 17160, score : 1.0
None
/data/data_root/test_preparedata/train/907863602.jpg
porte
492654799
907863940
 x0 : 109 y1 : 426 width : 283, height : 265, area : 74995, score : 1.0
None
porte
492654799
907863940
 x0 : 179 y1 : 399 width : 203, height : 221, area : 44863, score : 1.0
None
porte
492654799
907863940
 x0 : 354 y1 : 425 width : 277, height : 266, area : 73682, score : 1.0
None
porte
492654799
907863940
 x0 : 370 y1 : 407 width : 179, height : 233, area : 41707, score : 1.0
None
roue
492689227
907863940
 x0 : -1 y1 : 463 width : 98, height : 141, area : 13818, score : 1.0
None
roue
492689227
907863940
 x0 : 0 y1 : 468 width : 88, height : 147, area : 12936, score : 1.0
None
roue
492689227
907863940
 x0 : 523 y1 : 493 width : 117, height : 146, area : 17082, score : 1.0
None
roue
492689227
907863940
 x0 : 525 y1 : 493 width : 111, height : 147, area : 16317, score : 1.0
None
retroviseur
492844413
907863940
 x0 : 138 y1 : 278 width : 46, height : 44, area : 2024, score : 1.0
None
vitre
492925064
907863940
 x0 : 182 y1 : 266 width : 200, height : 95, area : 19000, score : 1.0
None
vitre
492925064
907863940
 x0 : 385 y1 : 257 width : 172, height : 90, area : 15480, score : 1.0
None
vitre
492925064
907863940
 x0 : 394 y1 : 256 width : 144, height : 86, area : 12384, score : 1.0
None
vitre
492925064
907863940
 x0 : 549 y1 : 253 width : 58, height : 53, area : 3074, score : 1.0
None
poignee
499500794
907863940
 x0 : 300 y1 : 306 width : 59, height : 17, area : 1003, score : 1.0
None
poignee
499500794
907863940
 x0 : 307 y1 : 313 width : 51, height : 24, area : 1224, score : 1.0
None
poignee
499500794
907863940
 x0 : 527 y1 : 308 width : 53, height : 22, area : 1166, score : 1.0
None
poignee
499500794
907863940
 x0 : 536 y1 : 310 width : 45, height : 24, area : 1080, score : 1.0
None
capot
599722655
907863940
 x0 : 219 y1 : 181 width : 370, height : 38, area : 14060, score : 1.0
None
logo-roue
2106233859
907863940
 x0 : 7 y1 : 419 width : 27, height : 43, area : 1161, score : 1.0
None
logo-roue
2106233859
907863940
 x0 : 594 y1 : 441 width : 26, height : 25, area : 650, score : 1.0
None
/data/data_root/test_preparedata/val/907863940.jpg

#&_#_#&_# TEST prepare mask data poly SUCCEEDED #&_#_#&_#
 c : pet_clair
2107755846

            SELECT photo_id
            FROM MTRPhoto.crop_hashtag_ids
            WHERE  type= 2622 and photo_id in (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos 
        where mtr_portfolio_id = 2880504 and hide_status = 0)  group by photo_id
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 964453879) and `type` in (2622) 
Loaded 15 chid ids of type : 2622
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1902110441,1902110442,1902110443,1902110444,1902110445,1902110446,1902110447,1902110448,1902110449,1902110450,1902110451,1902110452,1902110453,2808777934,2808777935)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1902110441,1902110442,1902110443,1902110444,1902110445,1902110446,1902110447,1902110448,1902110449,1902110450,1902110451,1902110452,1902110453,2808777934,2808777935)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1902110441,1902110442,1902110443,1902110444,1902110445,1902110446,1902110447,1902110448,1902110449,1902110450,1902110451,1902110452,1902110453,2808777934,2808777935)
{964453879: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de673a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de671c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de672b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de674c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de671f0>]}
{2107755846: 'pet_clair'}
{964453879: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de673a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de671c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de67190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de672b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de674c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f5d3de671f0>]}
dict_keys([964453879])

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (964453879) 
 Found this number of photos: 1
[{'photo_id': 964453879, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/1/6/3d07bc7d06c477acf98514ee747d5c5a.jpg'}]
{964453879: '/data/data_root/test_preparedata/val/964453879.jpg'}
environment
492622729
964453879
 x0 : 0 y1 : 479 width : 112, height : 415, area : 46480, score : 1.0
None
error
501120777
964453879
 x0 : 142 y1 : 479 width : 28, height : 20, area : 560, score : 1.0
None
error
501120777
964453879
 x0 : 151 y1 : 99 width : 23, height : 42, area : 966, score : 1.0
None
error
501120777
964453879
 x0 : 175 y1 : 59 width : 117, height : 59, area : 6903, score : 1.0
None
error
501120777
964453879
 x0 : 282 y1 : 479 width : 35, height : 62, area : 2170, score : 1.0
None
error
501120777
964453879
 x0 : 315 y1 : 460 width : 19, height : 26, area : 494, score : 1.0
None
error
501120777
964453879
 x0 : 353 y1 : 361 width : 32, height : 41, area : 1312, score : 1.0
None
error
501120777
964453879
 x0 : 403 y1 : 215 width : 47, height : 51, area : 2397, score : 1.0
None
error
501120777
964453879
 x0 : 497 y1 : 253 width : 89, height : 55, area : 4895, score : 1.0
None
error
501120777
964453879
 x0 : 546 y1 : 195 width : 58, height : 68, area : 3944, score : 1.0
None
error
501120777
964453879
 x0 : 613 y1 : 323 width : 20, height : 32, area : 640, score : 1.0
None
error
501120777
964453879
 x0 : 638 y1 : 225 width : 17, height : 27, area : 459, score : 1.0
None
pet_clair
2107755846
964453879
 x0 : 0 y1 : 479 width : 719, height : 479, area : 344401, score : 1.0
None
error
501120777
964453879
 x0 : 546 y1 : 195 width : 60, height : 68, area : 4080, score : 1.0
None
error
501120777
964453879
 x0 : 613 y1 : 323 width : 22, height : 32, area : 704, score : 1.0
None
/data/data_root/test_preparedata/val/964453879.jpg

#&_#_#&_# TEST prepare mask data rle SUCCEEDED #&_#_#&_#
time for calcul the mask position with numpy : 8.082389831542969e-05
nb_pixel_total : 6
time to create 1 rle with old method : 3.0517578125e-05
 Sanity check PASSED : sum_rle_size : 12 height * width : 12
7

#&_#_#&_# TEST prepare mask data mat SUCCEEDED #&_#_#&_#


#&_# TEST SUCCEEDED #&_# : mtr/mask_rcnn/prepare_maskdata #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"prepare mask data poly": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','prepare_maskdata','prepare mask data poly');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"prepare mask data rle": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','prepare_maskdata','prepare mask data rle');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"prepare mask data mat": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','prepare_maskdata','prepare mask data mat');

#&_# END OF TEST #&_# : mtr/mask_rcnn/prepare_maskdata #&_# 





#&_# BEGIN OF TEST : mtr/database_queries/portfolio_queries #&_# 


/home/admin/workarea/git/Velours/python/mtr/database_queries/portfolio_queries.py
<module 'mtr.database_queries.portfolio_queries' from '/home/admin/workarea/git/Velours/python/mtr/database_queries/portfolio_queries.py'>
test portfolio queries

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=6391492  AND mpp.hide_status=0  ORDER BY mpp.order 
SELECT mtr_portfolio_id FROM MTRUser.mtr_portfolio_photos where mtr_photo_id=1095053596 AND `order`=14279380
Catched exception !
Connect or reconnect !

        SELECT mtr_portfolio_id FROM (select mtr_portfolio_id, count(*) as nb
        FROM MTRUser.mtr_portfolio_photos
        WHERE hide_status=0
        AND mtr_portfolio_id IN (5773607,6180280,6391492)
        GROUP BY mtr_portfolio_id
        ) as temp
        WHERE nb=8

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=5773607  AND mpp.hide_status=0  ORDER BY mpp.order 

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=6391492  AND mpp.hide_status=0  ORDER BY mpp.order 
SELECT mtr_portfolio_id FROM MTRUser.mtr_portfolio_photos where mtr_photo_id=1095053584

        SELECT mtr_portfolio_id FROM (select mtr_portfolio_id, count(*) as nb
        FROM MTRUser.mtr_portfolio_photos
        WHERE hide_status=0
        AND mtr_portfolio_id IN (5773607,6214363,6391492,12985573,12985574)
        GROUP BY mtr_portfolio_id
        ) as temp
        WHERE nb=8

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=5773607  AND mpp.hide_status=0  ORDER BY mpp.order 

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=6391492  AND mpp.hide_status=0  ORDER BY mpp.order 


#&_# TEST SUCCEEDED #&_# : mtr/database_queries/portfolio_queries #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"portfolio_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','portfolio_queries','unknown');

#&_# END OF TEST #&_# : mtr/database_queries/portfolio_queries #&_# 





#&_# BEGIN OF TEST : prod/memo/memo #&_# 


/home/admin/workarea/git/Velours/python/prod/memo/memo.py
<module 'prod.memo.memo' from '/home/admin/workarea/git/Velours/python/prod/memo/memo.py'>
SLA Mensuel
python version used : 3

############################### TEST memo  ################################
Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
 nb_day : (0, 31)
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
place_id : 53
month : 08
mtr_id : 1038
dashboard_places : Romainville_Presse_2
date : 2022-08
year : 2022
raspi : 30002
select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (select id from MTRUser.mtr_portfolios where  id in (select mtr_portfolio_id from MTRPhoto.dashboard_results where dashboard_run_id in(select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id in (select id from MTRPhoto.dashboard_places where name = 'Romainville_Presse_2' and date like '%2022-08%') and created_at like '%2022-08%')));
 nb_day : (0, 31)
after unwanted_material_data
 nb_day : (0, 31)
SQL: SELECT ms.id, ms.name, mst.name as type, ms.test_group, ms.test_name, ms.server, ms.version_code, ms.result_str, ms.result_bool, ms.result_float, ms.lien, ms.created_at FROM MTRAdmin.monitor_sys ms
                 INNER JOIN MTRAdmin.monitor_sys_type mst on mst.id = ms.type 
                 WHERE ms.test_name like '%30002%' AND ms.result_str like '%2022/08%'ORDER BY ms.id desc LIMIT 0, 1000000;
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
Since we don't have condition on date we need to verify this lately !
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
Since we don't have condition on date we need to verify this lately !
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
Since we don't have condition on date we need to verify this lately !
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
Since we don't have condition on date we need to verify this lately !
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
{'date': '2022/08/06/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/05/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/04/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/03/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/02/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/01/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/06/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/05/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/04/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/03/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/02/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/01/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/06/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/05/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/04/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/03/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/02/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/01/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/06/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/05/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/04/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/03/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/02/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/01/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_dark': 546, 'end_of_day_photos_duplicated': 1001, 'end_of_day_photos_ok_for_neural_classification': 28, 'end_of_day_photos_uploaded': 9982, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9210}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1317}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 835}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 277, 'nb_selected_images': 277, 'last_update': '2022/08/26', 'portfolio_id': 6783368, 'last_run_id': 472528, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/17', 'portfolio_id': 6658698, 'last_run_id': 461498, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/17', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/16', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/16', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 15, 'nb_images_started': 448, 'nb_selected_images': 448, 'last_update': '2022/08/14', 'portfolio_id': 6629957, 'last_run_id': 454465, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 373, 'nb_selected_images': 584, 'last_update': '2022/08/15', 'portfolio_id': 6622675, 'last_run_id': 454450, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/11', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6778458860349266}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9210}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6778458860349266}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9198}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.455452878757014}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1317}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6778458860349266}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9198}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.455452878757014}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4632308005703809}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 835}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4871016129928332}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.5211392803570436}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.524509713142836}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.48604603788959055}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.4653604696383266}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.47606437156243636}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.4970277227356062}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.4633048760162225}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 277, 'nb_selected_images': 277, 'last_update': '2022/08/26', 'portfolio_id': 6783368, 'last_run_id': 472528, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5373432841348914}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4459897405507509}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.6107520509639067}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6344191559102946}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.46671234652493565}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.43580436674753237}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.469990185003426}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.5109909442767459}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/17', 'portfolio_id': 6658698, 'last_run_id': 461498, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4820830015370655}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.4769717957739958}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/17', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4822126335672883}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/16', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.5002314857682549}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/16', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5368247560140003}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 15, 'nb_images_started': 448, 'nb_selected_images': 448, 'last_update': '2022/08/14', 'portfolio_id': 6629957, 'last_run_id': 454465, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5615659549250912}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 373, 'nb_selected_images': 584, 'last_update': '2022/08/15', 'portfolio_id': 6622675, 'last_run_id': 454450, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.6263449323135614}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/11', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6465675290283154}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9198}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 835}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 277, 'nb_selected_images': 277, 'last_update': '2022/08/26', 'portfolio_id': 6783368, 'last_run_id': 472528, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/17', 'portfolio_id': 6658698, 'last_run_id': 461498, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/17', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/16', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/16', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 15, 'nb_images_started': 448, 'nb_selected_images': 448, 'last_update': '2022/08/14', 'portfolio_id': 6629957, 'last_run_id': 454465, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 373, 'nb_selected_images': 584, 'last_update': '2022/08/15', 'portfolio_id': 6622675, 'last_run_id': 454450, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/11', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 8880}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 6813}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 5175}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 3585}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 357, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 5, 'nb_selected_images': 362, 'last_update': '2022/09/01', 'portfolio_id': 6891498, 'last_run_id': 478934, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/01', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 3353}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 357, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 5, 'nb_selected_images': 362, 'last_update': '2022/09/01', 'portfolio_id': 6891498, 'last_run_id': 478934, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 277, 'nb_selected_images': 277, 'last_update': '2022/08/26', 'portfolio_id': 6783368, 'last_run_id': 472528, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/17', 'portfolio_id': 6658698, 'last_run_id': 461498, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/17', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/16', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/16', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 15, 'nb_images_started': 448, 'nb_selected_images': 448, 'last_update': '2022/08/14', 'portfolio_id': 6629957, 'last_run_id': 454465, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 373, 'nb_selected_images': 584, 'last_update': '2022/08/15', 'portfolio_id': 6622675, 'last_run_id': 454450, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/11', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 357, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 5, 'nb_selected_images': 362, 'last_update': '2022/08/31', 'portfolio_id': 6891498, 'last_run_id': 478934, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 17, 'nb_images_finished': 225, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 8, 'nb_selected_images': 233, 'last_update': '2022/08/30', 'portfolio_id': 6880717, 'last_run_id': 477481, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474335, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 7, 'nb_images_finished': 134, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 3, 'nb_images_started': 31, 'nb_selected_images': 165, 'last_update': '2022/08/26', 'portfolio_id': 6856460, 'last_run_id': 472687, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 314, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 314, 'last_update': '2022/08/24', 'portfolio_id': 6827218, 'last_run_id': 470784, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474335, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 15, 'nb_images_finished': 328, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 328, 'last_update': '2022/08/25', 'portfolio_id': 6844250, 'last_run_id': 472181, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 314, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 314, 'last_update': '2022/08/24', 'portfolio_id': 6827218, 'last_run_id': 470784, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 15, 'nb_images_finished': 328, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 328, 'last_update': '2022/08/25', 'portfolio_id': 6844250, 'last_run_id': 472127, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 314, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 314, 'last_update': '2022/08/24', 'portfolio_id': 6827218, 'last_run_id': 470784, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 314, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 314, 'last_update': '2022/08/24', 'portfolio_id': 6827218, 'last_run_id': 470715, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/18', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/17', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/18', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/17', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/18', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/17', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/13', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/12', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/13', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 456475, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/12', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 284, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 91, 'nb_selected_images': 375, 'last_update': '2022/08/10', 'portfolio_id': 6633495, 'last_run_id': 451521, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/12', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/11', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/12', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 284, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 91, 'nb_selected_images': 375, 'last_update': '2022/08/10', 'portfolio_id': 6633495, 'last_run_id': 451521, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 65, 'nb_selected_images': 65, 'last_update': '2022/08/10', 'portfolio_id': 6631875, 'last_run_id': 450783, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/11', 'portfolio_id': 6630410, 'last_run_id': 450676, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/06', 'portfolio_id': 6629957, 'last_run_id': 450648, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 284, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 91, 'nb_selected_images': 375, 'last_update': '2022/08/10', 'portfolio_id': 6633495, 'last_run_id': 451521, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 65, 'nb_selected_images': 65, 'last_update': '2022/08/10', 'portfolio_id': 6631875, 'last_run_id': 450783, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/06', 'portfolio_id': 6630410, 'last_run_id': 450676, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/06', 'portfolio_id': 6629957, 'last_run_id': 450648, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 37, 'nb_selected_images': 248, 'last_update': '2022/08/06', 'portfolio_id': 6622675, 'last_run_id': 450630, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 284, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 91, 'nb_selected_images': 375, 'last_update': '2022/08/09', 'portfolio_id': 6633495, 'last_run_id': 451521, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 65, 'nb_selected_images': 65, 'last_update': '2022/08/06', 'portfolio_id': 6631875, 'last_run_id': 450783, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/06', 'portfolio_id': 6630410, 'last_run_id': 450676, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/06', 'portfolio_id': 6629957, 'last_run_id': 450648, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 37, 'nb_selected_images': 248, 'last_update': '2022/08/06', 'portfolio_id': 6622675, 'last_run_id': 450630, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/03', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/06', 'portfolio_id': 6630410, 'last_run_id': 450667, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/06', 'portfolio_id': 6629957, 'last_run_id': 450648, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 37, 'nb_selected_images': 248, 'last_update': '2022/08/06', 'portfolio_id': 6622675, 'last_run_id': 450630, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/03', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/06', 'portfolio_id': 6630410, 'last_run_id': 450667, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/03', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/03', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
Found day : 2022-08-31 00:00:00
Found day : 2022-08-30 00:00:00
Found day : 2022-08-29 00:00:00
Found day : 2022-08-27 00:00:00
Found day : 2022-08-26 00:00:00
Found day : 2022-08-25 00:00:00
Found day : 2022-08-24 00:00:00
Found day : 2022-08-23 00:00:00
Found day : 2022-08-22 00:00:00
Found day : 2022-08-20 00:00:00
Found day : 2022-08-19 00:00:00
Found day : 2022-08-18 00:00:00
Found day : 2022-08-17 00:00:00
Found day : 2022-08-16 00:00:00
Found day : 2022-08-15 00:00:00
Found day : 2022-08-13 00:00:00
Found day : 2022-08-12 00:00:00
Found day : 2022-08-11 00:00:00
Found day : 2022-08-10 00:00:00
Found day : 2022-08-09 00:00:00
Found day : 2022-08-08 00:00:00
Found day : 2022-08-06 00:00:00
Found day : 2022-08-05 00:00:00
Found day : 2022-08-04 00:00:00
Found day : 2022-08-03 00:00:00
Found day : 2022-08-02 00:00:00
Found day : 2022-08-01 00:00:00
after coverage_data
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______emr' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______jrm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______aluminium' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______pet_fonce' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______gm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
select avg(cps.score) as score, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'__', -1), '_', 1) as sbstr, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'_', -2), '_', 1) as sbstr2, SUBSTRING_INDEX(mp.name,'_', -1) as sbstr3 FROM MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp,MTRPhoto.class_photo_score cps,MTRBack.hashtags h,MTRPhoto.dashboard_results dr,MTRPhoto.dashboard_entry_day ded, MTRPhoto.dashboard_places dp WHERE mp.id=mpp.mtr_portfolio_id and cps.photo_id=mpp.mtr_photo_id and h.hashtag_id=cps.hashtag_id and dr.mtr_portfolio_id = mpp.mtr_portfolio_id and dr.dashboard_run_id = ded.last_run_id and ded.dashboard_place_id = dp.id and h.hashtag in ('blur', 'mean_blur', 'clear') and dp.id = 53 and mp.name like '%082022%' and cps.thcl =  1533 GROUP BY sbstr ;
after number_of_batch
 date_start : 2022-08-01 :  <class 'str'>
 dt_date_just_month_year : 2022-08-01 00:00:00 :  <class 'datetime.datetime'>
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
Error parsing crontab !
[Errno 2] No such file or directory: ''
You better check your LOGRASPI env !!!
after pl.get_datou_sts_from_crontab : verbose : True
no sts found, try to find from database
SELECT dri.id
            FROM MTRPhoto.dashboard_run_ids dri,
            MTRPhoto.dashboard_entry_day ded,
            MTRPhoto.dashboard_places dp
            WHERE dp.name= "Romainville_Presse_2"
            AND ded.dashboard_place_id=dp.id
            AND dri.dashboard_entry_day=ded.id
            AND dri.id=ded.last_run_id AND ded.date >= "2022-08-01" AND ded.date <= "2022-08-31"
apple3 {'gm': {'mat': 'gm', 'pht': 4209, 'datou_carac_id': 3994, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier'}, 'emr': {'mat': 'emr', 'pht': 4207, 'datou_carac_id': 3993, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'carton'}, 'jrm': {'mat': 'jrm', 'pht': 3726, 'datou_carac_id': 3459, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier'}, 'ela': {'mat': 'ela', 'pht': 4203, 'datou_carac_id': 3991, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'ela'}, 'pehd_pp': {'mat': 'pehd_pp', 'pht': 4211, 'datou_carac_id': 3995, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pehd'}, 'pet_fonce': {'mat': 'pet_fonce', 'pht': 4200, 'datou_carac_id': 4153, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_fonce'}, 'aluminium': {'mat': 'aluminium', 'pht': 4205, 'datou_carac_id': 3992, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'metal'}, 'refus': {'mat': 'refus', 'pht': 3594, 'datou_carac_id': 3318, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'refus'}, 'pet_clair': {'mat': 'pet_clair', 'pht': 3327, 'datou_carac_id': 3804, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_clair,bouchon,etiquette,barquette_avec_film'}}
SELECT h.hashtag as unwanted_material, substr(dr.hashtag,8) as main_material,
            ptp.type as pht_type,
            sum(pcr.value*dr.nombre_balle)/sum(dr.nombre_balle) as ratio,
            count(distinct mpp.mtr_photo_id) as nb_photo,
            group_concat(distinct ptp.mtr_portfolio_id_2) as list_port_cont,
            group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_port,
            group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", h.hashtag, ":", cast(ptp.type as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_mat
                FROM MTRPhoto.dashboard_results dr,
                MTRPhoto.mtr_port_to_port_ids ptp,
                MTRUser.mtr_portfolio_photos mpp,
                MTRUser.portfolio_carac_ratio pcr,
                MTRBack.hashtags h  WHERE dr.dashboard_run_id IN  (448643,449568,454450,454465,454459,454472,456239,458795,461498,454567,457375,457649,459844,460382,461634,463066,472528,465865,469297,468129,475039,472453,474892,474538,475316,476524,479832,481665,479903)
                AND dr.mtr_portfolio_id=ptp.mtr_portfolio_id_1
                AND dr.qualite >= 0
                AND mpp.mtr_portfolio_id=ptp.mtr_portfolio_id_2
                AND pcr.portfolio_id=ptp.mtr_portfolio_id_1
                AND h.hashtag_id = pcr.hashtag_id
                AND ptp.type = pcr.hashtag_type
                AND mpp.hide_status = 0
                AND ptp.hashtag_id=h.hashtag_id  AND ptp.type IN (4209,4207,3726,4203,4211,4200,4205,3594,3327) 
                 group by h.hashtag, dr.hashtag, ptp.type;
VR TODO TO BETTER PARSE !
({'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001728785023265608, 'nb_photo': 18, 'list_port_cont': '6861407,6862123,6862547,6867908,6868674,6869389,6869558,6877707,6877972,6881690,6891352,6894202,6907047,6922714,6925593', 'assoc_port': '6790887:6862547,6794193:6862123,6834822:6877972,6840554:6877707,6845438:6869389,6846972:6869558,6851003:6868674,6853215:6861407,6864848:6867908,6881492:6881690,6889190:6891352,6894094:6894202,6906036:6907047,6921897:6922714,6925484:6925593', 'assoc_mat': '6790887:barquette_opaque:4207:6862547,6794193:barquette_opaque:4207:6862123,6834822:barquette_opaque:4207:6877972,6840554:barquette_opaque:4207:6877707,6845438:barquette_opaque:4207:6869389,6846972:barquette_opaque:4207:6869558,6851003:barquette_opaque:4207:6868674,6853215:barquette_opaque:4207:6861407,6864848:barquette_opaque:4207:6867908,6881492:barquette_opaque:4207:6881690,6889190:barquette_opaque:4207:6891352,6894094:barquette_opaque:4207:6894202,6906036:barquette_opaque:4207:6907047,6921897:barquette_opaque:4207:6922714,6925484:barquette_opaque:4207:6925593'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 8.469862336652651e-05, 'nb_photo': 44, 'list_port_cont': '6626450,6627857,6628405,6628829,6644425,6664932,6665236,6666075,6666652,6669243,6669771,6706891,6712605,6719637,6720391,6720629,6722154,6744912,6762879,6775287,6835808,6841133,6842925,6846016,6852775,6853230', 'assoc_port': '6625827:6626450,6627447:6627857,6627801:6628405,6628455:6628829,6630580:6664932,6630581:6665236,6630822:6666075,6631618:6669771,6639123:6644425,6665718:6666652,6668655:6669243,6706262:6706891,6708643:6712605,6719441:6719637,6719951:6720391,6720202:6720629,6721827:6722154,6744086:6744912,6762224:6762879,6774283:6775287,6834821:6835808,6840554:6841133,6842390:6842925,6845438:6846016,6852117:6852775,6852533:6853230', 'assoc_mat': '6625827:barquette_opaque:4209:6626450,6627447:barquette_opaque:4209:6627857,6627801:barquette_opaque:4209:6628405,6628455:barquette_opaque:4209:6628829,6630580:barquette_opaque:4209:6664932,6630581:barquette_opaque:4209:6665236,6630822:barquette_opaque:4209:6666075,6631618:barquette_opaque:4209:6669771,6639123:barquette_opaque:4209:6644425,6665718:barquette_opaque:4209:6666652,6668655:barquette_opaque:4209:6669243,6706262:barquette_opaque:4209:6706891,6708643:barquette_opaque:4209:6712605,6719441:barquette_opaque:4209:6719637,6719951:barquette_opaque:4209:6720391,6720202:barquette_opaque:4209:6720629,6721827:barquette_opaque:4209:6722154,6744086:barquette_opaque:4209:6744912,6762224:barquette_opaque:4209:6762879,6774283:barquette_opaque:4209:6775287,6834821:barquette_opaque:4209:6835808,6840554:barquette_opaque:4209:6841133,6842390:barquette_opaque:4209:6842925,6845438:barquette_opaque:4209:6846016,6852117:barquette_opaque:4209:6852775,6852533:barquette_opaque:4209:6853230'}, {'unwanted_material': 'carton', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.01022994561299725, 'nb_photo': 16, 'list_port_cont': '6625532,6880743,6880786', 'assoc_port': '6625304:6625532,6880715:6880786,6880716:6880743', 'assoc_mat': '6625304:carton:4205:6625532,6880715:carton:4205:6880786,6880716:carton:4205:6880743'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.9683717828305286, 'nb_photo': 2565, 'list_port_cont': '6860769,6860801,6860841,6860928,6860987,6861035,6861210,6861405,6861437,6861808,6861831,6861929,6862023,6862130,6862206,6862328,6862365,6862540,6862581,6862649,6862984,6863819,6864050,6866304,6866467,6866495,6866955,6867660,6867837,6867907,6868220,6868254,6868280,6868378,6868398,6868623,6868676,6868731,6868887,6868963,6869104,6869323,6869395,6869455,6869560,6876859,6876893,6876912,6876948,6877006,6877054,6877103,6877189,6877551,6877616,6877676,6877710,6877780,6877820,6877867,6877909,6877915,6877971,6877996,6878027,6881699,6884486,6886468,6886876,6887990,6888294,6889466,6891082,6891177,6891354,6894196,6894492,6895946,6896156,6897897,6898092,6898471,6898488,6900295,6900456,6904480,6904513,6905153,6905998,6906484,6907056,6908162,6908516,6908935,6909121,6914618,6915177,6915209,6915268,6916694,6917250,6917397,6920809,6922717,6925589', 'assoc_port': '6790886:6864050,6790887:6862540,6794193:6862130,6832752:6877915,6832753:6877867,6833565:6878027,6834821:6877996,6834822:6877971,6836050:6877780,6838973:6877676,6838974:6877616,6840554:6877710,6842390:6877820,6845438:6869395,6846972:6869560,6846973:6869455,6848417:6869323,6849526:6868887,6851003:6868676,6852117:6868731,6852533:6869104,6852534:6868963,6853215:6861405,6853569:6861437,6853919:6868623,6855642:6860801,6859123:6861831,6860530:6861210,6860531:6861035,6860532:6860987,6860535:6860928,6860537:6860841,6860538:6860769,6861512:6868220,6861514:6868280,6861516:6868254,6861517:6868378,6861519:6862581,6861520:6862649,6861522:6861808,6861523:6862328,6861524:6862206,6861525:6861929,6861635:6862365,6861636:6862023,6862501:6862984,6863220:6863819,6864848:6867907,6864850:6867837,6864851:6867660,6864853:6866955,6864855:6866495,6865738:6866304,6865739:6866467,6868332:6868398,6876683:6877189,6876684:6876912,6876685:6877006,6876686:6877054,6876687:6877103,6876688:6876893,6876689:6876948,6876691:6876859,6877478:6877909,', 'assoc_mat': '6790886:carton:4207:6864050,6790887:carton:4207:6862540,6794193:carton:4207:6862130,6832752:carton:4207:6877915,6832753:carton:4207:6877867,6833565:carton:4207:6878027,6834821:carton:4207:6877996,6834822:carton:4207:6877971,6836050:carton:4207:6877780,6838973:carton:4207:6877676,6838974:carton:4207:6877616,6840554:carton:4207:6877710,6842390:carton:4207:6877820,6845438:carton:4207:6869395,6846972:carton:4207:6869560,6846973:carton:4207:6869455,6848417:carton:4207:6869323,6849526:carton:4207:6868887,6851003:carton:4207:6868676,6852117:carton:4207:6868731,6852533:carton:4207:6869104,6852534:carton:4207:6868963,6853215:carton:4207:6861405,6853569:carton:4207:6861437,6853919:carton:4207:6868623,6855642:carton:4207:6860801,6859123:carton:4207:6861831,6860530:carton:4207:6861210,6860531:carton:4207:6861035,6860532:carton:4207:6860987,6860535:carton:4207:6860928,6860537:carton:4207:6860841,6860538:carton:4207:6860769,6861512:carton:4207:6868220,6861514:carton:4207:6868280,6861516:carton:4207:6868254,6861517:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007834080277437061, 'nb_photo': 1462, 'list_port_cont': '6613099,6614127,6614585,6615525,6616029,6626453,6627860,6628395,6628840,6629152,6629205,6629281,6635304,6635369,6635432,6639702,6640661,6641608,6642551,6644436,6646356,6647438,6648160,6648884,6654375,6655819,6657180,6658370,6659145,6659232,6660891,6661075,6664557,6664640,6664706,6664802,6664929,6665234,6666043,6666077,6666648,6666765,6666944,6668004,6668673,6668922,6669250,6669483,6669559,6669701,6669786,6669812,6670114,6671149,6671463,6671574,6671847,6672297,6674151,6674264,6674794,6676772,6678452,6681186,6683438,6683967,6700222,6702222,6704712,6706887,6708974,6709414,6709569,6710040,6710776,6711299,6712611,6716502,6718348,6718717,6718883,6719281,6719649,6719891,6720389,6720622,6722163,6722585,6722885,6723449,6723510,6744917,6745245,6746407,6748615,6748946,6749029,6758826,6760253,6760547,6761445,6761998,6762877,6774108,6774613,6775298,6776475,6776981,6813192,6834126,6834362,6834696,6835803,6836102,6837017,6839291,6839592,6841138,6842928,6846019,6847495,6847556,6849259,6850419,6851368,6852770,6853216,6853519,', 'assoc_port': '6612572:6613099,6613636:6614127,6614336:6614585,6614890:6615525,6614891:6616029,6625827:6626453,6627447:6627860,6627801:6628395,6627802:6629281,6628455:6628840,6628735:6629152,6628736:6629205,6630577:6664557,6630578:6664706,6630579:6664640,6630580:6664929,6630581:6665234,6630822:6666077,6630823:6666043,6631154:6668004,6631384:6668673,6631385:6668922,6631618:6669786,6631619:6669812,6631901:6670114,6632901:6671149,6632902:6671463,6633542:6635432,6633543:6635304,6633544:6671847,6633545:6635369,6633546:6672297,6635651:6661075,6635653:6660891,6639123:6644436,6639124:6639702,6639695:6642551,6640066:6640661,6640928:6641608,6645791:6646356,6646682:6647438,6647202:6648160,6648217:6648884,6652800:6654375,6655088:6655819,6656505:6657180,6656506:6658370,6657819:6659145,6659025:6659232,6663042:6664802,6665067:6666944,6665718:6666648,6665719:6666765,6668654:6669701,6668655:6669250,6668656:6669483,6668657:6669559,6670886:6671574,6671756:6676772,6673385:6674151,6673850:6674264,6674357:6674794,6678032:6678452,6680947:6681186,', 'assoc_mat': '6612572:carton:4209:6613099,6613636:carton:4209:6614127,6614336:carton:4209:6614585,6614890:carton:4209:6615525,6614891:carton:4209:6616029,6625827:carton:4209:6626453,6627447:carton:4209:6627860,6627801:carton:4209:6628395,6627802:carton:4209:6629281,6628455:carton:4209:6628840,6628735:carton:4209:6629152,6628736:carton:4209:6629205,6630577:carton:4209:6664557,6630578:carton:4209:6664706,6630579:carton:4209:6664640,6630580:carton:4209:6664929,6630581:carton:4209:6665234,6630822:carton:4209:6666077,6630823:carton:4209:6666043,6631154:carton:4209:6668004,6631384:carton:4209:6668673,6631385:carton:4209:6668922,6631618:carton:4209:6669786,6631619:carton:4209:6669812,6631901:carton:4209:6670114,6632901:carton:4209:6671149,6632902:carton:4209:6671463,6633542:carton:4209:6635432,6633543:carton:4209:6635304,6633544:carton:4209:6671847,6633545:carton:4209:6635369,6633546:carton:4209:6672297,6635651:carton:4209:6661075,6635653:carton:4209:6660891,6639123:carton:4209:6644436,6639124:carton:4209:6639702,6639695:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0029313403454804565, 'nb_photo': 10, 'list_port_cont': '6861174,6862613,6886392,6902824,6905431,6920955', 'assoc_port': '6860533:6861174,6861515:6862613,6886257:6886392,6900676:6902824,6905103:6905431,6920015:6920955', 'assoc_mat': '6860533:carton:4209:6861174,6861515:carton:4209:6862613,6886257:carton:4209:6886392,6900676:carton:4209:6902824,6905103:carton:4209:6905431,6920015:carton:4209:6920955'}, {'unwanted_material': 'carton', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.005861756255830517, 'nb_photo': 4, 'list_port_cont': '6647696', 'assoc_port': '6647200:6647696', 'assoc_mat': '6647200:carton:4200:6647696'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001359155180754883, 'nb_photo': 1, 'list_port_cont': '6877603', 'assoc_port': '6838974:6877603', 'assoc_mat': '6838974:ela:4207:6877603'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 5.6302219709875656e-05, 'nb_photo': 3, 'list_port_cont': '6635371,6644435,6657178', 'assoc_port': '6633545:6635371,6639123:6644435,6656505:6657178', 'assoc_mat': '6633545:ela:4209:6635371,6639123:ela:4209:6644435,6656505:ela:4209:6657178'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0004908205603477037, 'nb_photo': 82, 'list_port_cont': '6860802,6860985,6861441,6861842,6861919,6862212,6862342,6862370,6862544,6862643,6868221,6868633,6868729,6869099,6869322,6869388,6869458,6876887,6877052,6877109,6877190,6877547,6877688,6877715,6877814,6877918,6877964,6877998,6878028,6886871,6891088,6891171,6896147,6900293,6900464,6904479,6907053,6908947,6909124,6915211,6915265,6916685,6917252,6920804,6922718', 'assoc_port': '6790887:6862544,6832752:6877918,6833565:6878028,6834821:6877998,6834822:6877964,6838973:6877688,6840554:6877715,6842390:6877814,6845438:6869388,6846973:6869458,6848417:6869322,6852117:6868729,6852533:6869099,6853569:6861441,6853919:6868633,6855642:6860802,6859123:6861842,6860532:6860985,6861512:6868221,6861520:6862643,6861523:6862342,6861524:6862212,6861525:6861919,6861635:6862370,6876683:6877190,6876686:6877052,6876687:6877109,6876688:6876887,6877480:6877547,6886258:6886871,6889185:6891088,6891024:6891171,6895749:6896147,6899246:6900464,6899248:6900293,6900677:6909124,6900678:6908947,6903712:6904479,6906036:6907053,6914258:6915211,6914260:6916685,6914751:6915265,6917033:6917252,6920014:6920804,6921897:6922718', 'assoc_mat': '6790887:etiquette:4207:6862544,6832752:etiquette:4207:6877918,6833565:etiquette:4207:6878028,6834821:etiquette:4207:6877998,6834822:etiquette:4207:6877964,6838973:etiquette:4207:6877688,6840554:etiquette:4207:6877715,6842390:etiquette:4207:6877814,6845438:etiquette:4207:6869388,6846973:etiquette:4207:6869458,6848417:etiquette:4207:6869322,6852117:etiquette:4207:6868729,6852533:etiquette:4207:6869099,6853569:etiquette:4207:6861441,6853919:etiquette:4207:6868633,6855642:etiquette:4207:6860802,6859123:etiquette:4207:6861842,6860532:etiquette:4207:6860985,6861512:etiquette:4207:6868221,6861520:etiquette:4207:6862643,6861523:etiquette:4207:6862342,6861524:etiquette:4207:6862212,6861525:etiquette:4207:6861919,6861635:etiquette:4207:6862370,6876683:etiquette:4207:6877190,6876686:etiquette:4207:6877052,6876687:etiquette:4207:6877109,6876688:etiquette:4207:6876887,6877480:etiquette:4207:6877547,6886258:etiquette:4207:6886871,6889185:etiquette:4207:6891088,6891024:etiquette:4207:6891171,6895749:etiquette:4207:6896147,6'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0008238173967106119, 'nb_photo': 1049, 'list_port_cont': '6613101,6614126,6614587,6616038,6626458,6627864,6628397,6628838,6629141,6629204,6629280,6635302,6635366,6635430,6640667,6641598,6642545,6644428,6646362,6647450,6648167,6648890,6654367,6655834,6657182,6658372,6659142,6659220,6660894,6661081,6664553,6664638,6664707,6664807,6664938,6665231,6666055,6666086,6666643,6666770,6666946,6668001,6668670,6668913,6669257,6669490,6669555,6669702,6669778,6669808,6670117,6671148,6671464,6671561,6671836,6672301,6674153,6674271,6674799,6676771,6678460,6681184,6683436,6683981,6700231,6702226,6704721,6706890,6708962,6709416,6709579,6710035,6710785,6711300,6712603,6716517,6718720,6718877,6719278,6719639,6719881,6720398,6720627,6722161,6722583,6722896,6723446,6723519,6744916,6745258,6746410,6748605,6748955,6749037,6760261,6760532,6761442,6762007,6774112,6774618,6775290,6776483,6776974,6813185,6834132,6834363,6834703,6835800,6836101,6837027,6839290,6839587,6841136,6842924,6846017,6847494,6847557,6849269,6850421,6852780,6853222,6853521,6853980,6854357,6855828,6859399', 'assoc_port': '6612572:6613101,6613636:6614126,6614336:6614587,6614891:6616038,6625827:6626458,6627447:6627864,6627801:6628397,6627802:6629280,6628455:6628838,6628735:6629141,6628736:6629204,6630577:6664553,6630578:6664707,6630579:6664638,6630580:6664938,6630581:6665231,6630822:6666086,6630823:6666055,6631154:6668001,6631384:6668670,6631385:6668913,6631618:6669778,6631619:6669808,6631901:6670117,6632901:6671148,6632902:6671464,6633542:6635430,6633543:6635302,6633544:6671836,6633545:6635366,6633546:6672301,6635651:6661081,6635653:6660894,6639123:6644428,6639695:6642545,6640066:6640667,6640928:6641598,6645791:6646362,6646682:6647450,6647202:6648167,6648217:6648890,6652800:6654367,6655088:6655834,6656505:6657182,6656506:6658372,6657819:6659142,6659025:6659220,6663042:6664807,6665067:6666946,6665718:6666643,6665719:6666770,6668654:6669702,6668655:6669257,6668656:6669490,6668657:6669555,6670886:6671561,6671756:6676771,6673385:6674153,6673850:6674271,6674357:6674799,6678032:6678460,6680947:6681184,6682633:6683436,6683289:6683981,', 'assoc_mat': '6612572:etiquette:4209:6613101,6613636:etiquette:4209:6614126,6614336:etiquette:4209:6614587,6614891:etiquette:4209:6616038,6625827:etiquette:4209:6626458,6627447:etiquette:4209:6627864,6627801:etiquette:4209:6628397,6627802:etiquette:4209:6629280,6628455:etiquette:4209:6628838,6628735:etiquette:4209:6629141,6628736:etiquette:4209:6629204,6630577:etiquette:4209:6664553,6630578:etiquette:4209:6664707,6630579:etiquette:4209:6664638,6630580:etiquette:4209:6664938,6630581:etiquette:4209:6665231,6630822:etiquette:4209:6666086,6630823:etiquette:4209:6666055,6631154:etiquette:4209:6668001,6631384:etiquette:4209:6668670,6631385:etiquette:4209:6668913,6631618:etiquette:4209:6669778,6631619:etiquette:4209:6669808,6631901:etiquette:4209:6670117,6632901:etiquette:4209:6671148,6632902:etiquette:4209:6671464,6633542:etiquette:4209:6635430,6633543:etiquette:4209:6635302,6633544:etiquette:4209:6671836,6633545:etiquette:4209:6635366,6633546:etiquette:4209:6672301,6635651:etiquette:4209:6661081,6635653:etiquette:4209:6660894,6'}, {'unwanted_material': 'etiquette', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0007589310876444754, 'nb_photo': 16, 'list_port_cont': '6860869,6861178,6861533,6862611,6863435,6876769,6889758,6894819,6902814,6920942', 'assoc_port': '6860533:6861178,6860536:6860869,6861163:6861533,6861515:6862611,6863221:6863435,6876690:6876769,6889188:6889758,6894658:6894819,6900676:6902814,6920015:6920942', 'assoc_mat': '6860533:etiquette:4209:6861178,6860536:etiquette:4209:6860869,6861163:etiquette:4209:6861533,6861515:etiquette:4209:6862611,6863221:etiquette:4209:6863435,6876690:etiquette:4209:6876769,6889188:etiquette:4209:6889758,6894658:etiquette:4209:6894819,6900676:etiquette:4209:6902814,6920015:etiquette:4209:6920942'}, {'unwanted_material': 'etiquette', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0010885671487047438, 'nb_photo': 5, 'list_port_cont': '6647706', 'assoc_port': '6647200:6647706', 'assoc_mat': '6647200:etiquette:4200:6647706'}, {'unwanted_material': 'film_plastique', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.00029682028164317286, 'nb_photo': 8, 'list_port_cont': '6862648,6866460,6877060,6877718,6877925,6922720,6925580', 'assoc_port': '6832752:6877925,6840554:6877718,6861520:6862648,6865739:6866460,6876686:6877060,6921897:6922720,6925484:6925580', 'assoc_mat': '6832752:film_plastique:4207:6877925,6840554:film_plastique:4207:6877718,6861520:film_plastique:4207:6862648,6865739:film_plastique:4207:6866460,6876686:film_plastique:4207:6877060,6921897:film_plastique:4207:6922720,6925484:film_plastique:4207:6925580'}, {'unwanted_material': 'film_plastique', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 9.746706181821035e-05, 'nb_photo': 9, 'list_port_cont': '6614124,6644434,6702223,6711304,6712598,6744913,6834700', 'assoc_port': '6613636:6614124,6639123:6644434,6701501:6702223,6708643:6712598,6708644:6711304,6744086:6744913,6832752:6834700', 'assoc_mat': '6613636:film_plastique:4209:6614124,6639123:film_plastique:4209:6644434,6701501:film_plastique:4209:6702223,6708643:film_plastique:4209:6712598,6708644:film_plastique:4209:6711304,6744086:film_plastique:4209:6744913,6832752:film_plastique:4209:6834700'}, {'unwanted_material': 'kraft', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0011039430628874177, 'nb_photo': 1, 'list_port_cont': '6917403', 'assoc_port': '6917034:6917403', 'assoc_mat': '6917034:kraft:4207:6917403'}, {'unwanted_material': 'metal', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.9896715615394742, 'nb_photo': 54, 'list_port_cont': '6625531,6661187,6880740,6880777,6881860,6918649', 'assoc_port': '6625304:6625531,6632479:6661187,6880715:6880777,6880716:6880740,6881491:6881860,6887696:6918649', 'assoc_mat': '6625304:metal:4205:6625531,6632479:metal:4205:6661187,6880715:metal:4205:6880777,6880716:metal:4205:6880740,6881491:metal:4205:6881860,6887696:metal:4205:6918649'}, {'unwanted_material': 'metal', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.002857356890964171, 'nb_photo': 188, 'list_port_cont': '6860922,6860979,6861033,6861211,6861400,6861433,6861833,6862030,6862128,6862210,6862338,6862362,6862534,6862572,6862638,6863807,6864053,6866290,6866466,6866498,6866956,6867841,6867914,6868223,6868261,6868374,6868621,6868667,6868732,6869091,6869331,6869392,6869468,6869545,6876850,6876885,6876957,6877055,6877099,6877198,6877539,6877618,6877678,6877719,6877785,6877818,6877877,6877912,6877928,6877966,6878004,6878040,6884491,6886881,6887977,6888302,6894497,6895947,6896159,6897898,6898087,6898465,6898489,6900299,6900468,6904477,6905148,6905987,6907057,6908937,6909122,6915222,6915272,6916692,6917256,6920805,6925583', 'assoc_port': '6790886:6864053,6790887:6862534,6794193:6862128,6832752:6877928,6832753:6877877,6833565:6878040,6834821:6878004,6834822:6877966,6836050:6877785,6838973:6877678,6838974:6877618,6840554:6877719,6842390:6877818,6845438:6869392,6846972:6869545,6846973:6869468,6848417:6869331,6851003:6868667,6852117:6868732,6852533:6869091,6853215:6861400,6853569:6861433,6853919:6868621,6859123:6861833,6860530:6861211,6860531:6861033,6860532:6860979,6860535:6860922,6861512:6868223,6861516:6868261,6861517:6868374,6861519:6862572,6861520:6862638,6861523:6862338,6861524:6862210,6861635:6862362,6861636:6862030,6863220:6863807,6864848:6867914,6864850:6867841,6864853:6866956,6864855:6866498,6865738:6866290,6865739:6866466,6876683:6877198,6876686:6877055,6876687:6877099,6876688:6876885,6876689:6876957,6876691:6876850,6877478:6877912,6877480:6877539,6884290:6884491,6886258:6886881,6887695:6888302,6887732:6887977,6894095:6894497,6895749:6896159,6895752:6895947,6897575:6898087,6897576:6897898,6898175:6898489,6898176:6898465,6899246:6900468,', 'assoc_mat': '6790886:metal:4207:6864053,6790887:metal:4207:6862534,6794193:metal:4207:6862128,6832752:metal:4207:6877928,6832753:metal:4207:6877877,6833565:metal:4207:6878040,6834821:metal:4207:6878004,6834822:metal:4207:6877966,6836050:metal:4207:6877785,6838973:metal:4207:6877678,6838974:metal:4207:6877618,6840554:metal:4207:6877719,6842390:metal:4207:6877818,6845438:metal:4207:6869392,6846972:metal:4207:6869545,6846973:metal:4207:6869468,6848417:metal:4207:6869331,6851003:metal:4207:6868667,6852117:metal:4207:6868732,6852533:metal:4207:6869091,6853215:metal:4207:6861400,6853569:metal:4207:6861433,6853919:metal:4207:6868621,6859123:metal:4207:6861833,6860530:metal:4207:6861211,6860531:metal:4207:6861033,6860532:metal:4207:6860979,6860535:metal:4207:6860922,6861512:metal:4207:6868223,6861516:metal:4207:6868261,6861517:metal:4207:6868374,6861519:metal:4207:6862572,6861520:metal:4207:6862638,6861523:metal:4207:6862338,6861524:metal:4207:6862210,6861635:metal:4207:6862362,6861636:metal:4207:6862030,6863220:metal:4207:686380'}, {'unwanted_material': 'metal', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.026017127541676587, 'nb_photo': 787, 'list_port_cont': '6613097,6614121,6615521,6616026,6626451,6627868,6628403,6628835,6629153,6629208,6629277,6635307,6635359,6635433,6639705,6640666,6641594,6642552,6644427,6647437,6648164,6648886,6654370,6655828,6657169,6658371,6659139,6660892,6661087,6664549,6664633,6664701,6664796,6664935,6665224,6666046,6666081,6666646,6666766,6666945,6667992,6668663,6668912,6669249,6669482,6669546,6669703,6669773,6669806,6670109,6671159,6671466,6671576,6672296,6674155,6674267,6674795,6676776,6678453,6681189,6683437,6683972,6700233,6702218,6704725,6706893,6708961,6709417,6709566,6710044,6710774,6711296,6712599,6716510,6718358,6718713,6718870,6719287,6719648,6720401,6720631,6722162,6722586,6722893,6723437,6723512,6744909,6745246,6746419,6748619,6748941,6749034,6758839,6760267,6760542,6761443,6762005,6774106,6774607,6775285,6776482,6776987,6813179,6834120,6834369,6834695,6835802,6836110,6837026,6839593,6841134,6846021,6847508,6847568,6849264,6850424,6851374,6852778,6853219,6853526,6854348,6855834,6859395', 'assoc_port': '6612572:6613097,6613636:6614121,6614890:6615521,6614891:6616026,6625827:6626451,6627447:6627868,6627801:6628403,6627802:6629277,6628455:6628835,6628735:6629153,6628736:6629208,6630577:6664549,6630578:6664701,6630579:6664633,6630580:6664935,6630581:6665224,6630822:6666081,6630823:6666046,6631154:6667992,6631384:6668663,6631385:6668912,6631618:6669773,6631619:6669806,6631901:6670109,6632901:6671159,6632902:6671466,6633542:6635433,6633543:6635307,6633545:6635359,6633546:6672296,6635651:6661087,6635653:6660892,6639123:6644427,6639124:6639705,6639695:6642552,6640066:6640666,6640928:6641594,6646682:6647437,6647202:6648164,6648217:6648886,6652800:6654370,6655088:6655828,6656505:6657169,6656506:6658371,6657819:6659139,6663042:6664796,6665067:6666945,6665718:6666646,6665719:6666766,6668654:6669703,6668655:6669249,6668656:6669482,6668657:6669546,6670886:6671576,6671756:6676776,6673385:6674155,6673850:6674267,6674357:6674795,6678032:6678453,6680947:6681189,6682633:6683437,6683289:6683972,6699726:6700233,6700555:6704725,', 'assoc_mat': '6612572:metal:4209:6613097,6613636:metal:4209:6614121,6614890:metal:4209:6615521,6614891:metal:4209:6616026,6625827:metal:4209:6626451,6627447:metal:4209:6627868,6627801:metal:4209:6628403,6627802:metal:4209:6629277,6628455:metal:4209:6628835,6628735:metal:4209:6629153,6628736:metal:4209:6629208,6630577:metal:4209:6664549,6630578:metal:4209:6664701,6630579:metal:4209:6664633,6630580:metal:4209:6664935,6630581:metal:4209:6665224,6630822:metal:4209:6666081,6630823:metal:4209:6666046,6631154:metal:4209:6667992,6631384:metal:4209:6668663,6631385:metal:4209:6668912,6631618:metal:4209:6669773,6631619:metal:4209:6669806,6631901:metal:4209:6670109,6632901:metal:4209:6671159,6632902:metal:4209:6671466,6633542:metal:4209:6635433,6633543:metal:4209:6635307,6633545:metal:4209:6635359,6633546:metal:4209:6672296,6635651:metal:4209:6661087,6635653:metal:4209:6660892,6639123:metal:4209:6644427,6639124:metal:4209:6639705,6639695:metal:4209:6642552,6640066:metal:4209:6640666,6640928:metal:4209:6641594,6646682:metal:4209:664743'}, {'unwanted_material': 'metal', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.03426755560145856, 'nb_photo': 14, 'list_port_cont': '6861172,6863427,6863597,6865059,6876772,6881616,6889760,6902821,6920943', 'assoc_port': '6860533:6861172,6863219:6863597,6863221:6863427,6864849:6865059,6876690:6876772,6881493:6881616,6889188:6889760,6900676:6902821,6920015:6920943', 'assoc_mat': '6860533:metal:4209:6861172,6863219:metal:4209:6863597,6863221:metal:4209:6863427,6864849:metal:4209:6865059,6876690:metal:4209:6876772,6881493:metal:4209:6881616,6889188:metal:4209:6889760,6900676:metal:4209:6902821,6920015:metal:4209:6920943'}, {'unwanted_material': 'papier', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.0013353682339268438, 'nb_photo': 9, 'list_port_cont': '6625537,6880784', 'assoc_port': '6625304:6625537,6880715:6880784', 'assoc_mat': '6625304:papier:4205:6625537,6880715:papier:4205:6880784'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.030078019576209876, 'nb_photo': 6564, 'list_port_cont': '6860765,6860809,6860834,6860929,6860974,6861044,6861206,6861412,6861434,6861798,6861840,6861924,6862024,6862135,6862201,6862331,6862374,6862545,6862582,6862651,6862990,6863820,6864046,6866293,6866465,6866499,6866949,6867662,6867830,6867915,6868217,6868247,6868293,6868379,6868403,6868626,6868668,6868733,6868889,6868970,6869094,6869326,6869384,6869464,6869555,6876860,6876889,6876921,6876951,6877008,6877057,6877102,6877186,6877542,6877605,6877685,6877711,6877787,6877810,6877872,6877908,6877920,6877963,6878007,6878032,6881693,6884489,6886474,6886878,6887983,6888296,6889465,6891084,6891165,6891355,6894204,6894504,6895937,6896154,6897893,6898095,6898457,6898491,6900292,6900467,6904483,6904508,6905154,6905995,6906491,6907050,6908161,6908519,6908941,6909123,6914622,6915183,6915210,6915259,6916693,6917258,6917398,6920814,6922713,6925594', 'assoc_port': '6790886:6864046,6790887:6862545,6794193:6862135,6832752:6877920,6832753:6877872,6833565:6878032,6834821:6878007,6834822:6877963,6836050:6877787,6838973:6877685,6838974:6877605,6840554:6877711,6842390:6877810,6845438:6869384,6846972:6869555,6846973:6869464,6848417:6869326,6849526:6868889,6851003:6868668,6852117:6868733,6852533:6869094,6852534:6868970,6853215:6861412,6853569:6861434,6853919:6868626,6855642:6860809,6859123:6861840,6860530:6861206,6860531:6861044,6860532:6860974,6860535:6860929,6860537:6860834,6860538:6860765,6861512:6868217,6861514:6868293,6861516:6868247,6861517:6868379,6861519:6862582,6861520:6862651,6861522:6861798,6861523:6862331,6861524:6862201,6861525:6861924,6861635:6862374,6861636:6862024,6862501:6862990,6863220:6863820,6864848:6867915,6864850:6867830,6864851:6867662,6864853:6866949,6864855:6866499,6865738:6866293,6865739:6866465,6868332:6868403,6876683:6877186,6876684:6876921,6876685:6877008,6876686:6877057,6876687:6877102,6876688:6876889,6876689:6876951,6876691:6876860,6877478:6877908,', 'assoc_mat': '6790886:papier:4207:6864046,6790887:papier:4207:6862545,6794193:papier:4207:6862135,6832752:papier:4207:6877920,6832753:papier:4207:6877872,6833565:papier:4207:6878032,6834821:papier:4207:6878007,6834822:papier:4207:6877963,6836050:papier:4207:6877787,6838973:papier:4207:6877685,6838974:papier:4207:6877605,6840554:papier:4207:6877711,6842390:papier:4207:6877810,6845438:papier:4207:6869384,6846972:papier:4207:6869555,6846973:papier:4207:6869464,6848417:papier:4207:6869326,6849526:papier:4207:6868889,6851003:papier:4207:6868668,6852117:papier:4207:6868733,6852533:papier:4207:6869094,6852534:papier:4207:6868970,6853215:papier:4207:6861412,6853569:papier:4207:6861434,6853919:papier:4207:6868626,6855642:papier:4207:6860809,6859123:papier:4207:6861840,6860530:papier:4207:6861206,6860531:papier:4207:6861044,6860532:papier:4207:6860974,6860535:papier:4207:6860929,6860537:papier:4207:6860834,6860538:papier:4207:6860765,6861512:papier:4207:6868217,6861514:papier:4207:6868293,6861516:papier:4207:6868247,6861517:papier:4'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.9686131104416358, 'nb_photo': 148871, 'list_port_cont': '6613100,6614114,6614594,6615529,6616034,6626462,6627859,6628399,6628843,6629142,6629212,6629275,6635305,6635363,6635424,6639712,6640665,6641601,6642549,6644429,6646359,6647443,6648156,6648888,6654374,6655830,6657171,6658366,6659151,6659226,6660896,6661088,6664555,6664630,6664696,6664799,6664931,6665226,6666045,6666080,6666650,6666767,6666948,6667998,6668669,6668911,6669246,6669487,6669556,6669704,6669775,6669818,6670116,6671162,6671475,6671569,6671851,6672303,6674157,6674272,6674793,6676777,6678463,6681194,6683426,6683976,6700220,6702213,6704717,6706880,6708963,6709412,6709561,6710050,6710787,6711302,6712597,6716513,6718354,6718721,6718876,6719283,6719641,6719885,6720392,6720623,6722156,6722577,6722881,6723438,6723515,6744914,6745255,6746412,6748609,6748948,6749033,6758834,6760258,6760534,6761446,6762006,6762872,6774101,6774621,6775292,6776474,6776980,6813189,6834129,6834360,6834694,6835804,6836115,6837019,6839283,6839590,6841139,6842937,6846030,6847507,6847554,6849265,6850417,6851367,6852769,6853226,6853512,', 'assoc_port': '6612572:6613100,6613636:6614114,6614336:6614594,6614890:6615529,6614891:6616034,6625827:6626462,6627447:6627859,6627801:6628399,6627802:6629275,6628455:6628843,6628735:6629142,6628736:6629212,6630577:6664555,6630578:6664696,6630579:6664630,6630580:6664931,6630581:6665226,6630822:6666080,6630823:6666045,6631154:6667998,6631384:6668669,6631385:6668911,6631618:6669775,6631619:6669818,6631901:6670116,6632901:6671162,6632902:6671475,6633542:6635424,6633543:6635305,6633544:6671851,6633545:6635363,6633546:6672303,6635651:6661088,6635653:6660896,6639123:6644429,6639124:6639712,6639695:6642549,6640066:6640665,6640928:6641601,6645791:6646359,6646682:6647443,6647202:6648156,6648217:6648888,6652800:6654374,6655088:6655830,6656505:6657171,6656506:6658366,6657819:6659151,6659025:6659226,6663042:6664799,6665067:6666948,6665718:6666650,6665719:6666767,6668654:6669704,6668655:6669246,6668656:6669487,6668657:6669556,6670886:6671569,6671756:6676777,6673385:6674157,6673850:6674272,6674357:6674793,6678032:6678463,6680947:6681194,', 'assoc_mat': '6612572:papier:4209:6613100,6613636:papier:4209:6614114,6614336:papier:4209:6614594,6614890:papier:4209:6615529,6614891:papier:4209:6616034,6625827:papier:4209:6626462,6627447:papier:4209:6627859,6627801:papier:4209:6628399,6627802:papier:4209:6629275,6628455:papier:4209:6628843,6628735:papier:4209:6629142,6628736:papier:4209:6629212,6630577:papier:4209:6664555,6630578:papier:4209:6664696,6630579:papier:4209:6664630,6630580:papier:4209:6664931,6630581:papier:4209:6665226,6630822:papier:4209:6666080,6630823:papier:4209:6666045,6631154:papier:4209:6667998,6631384:papier:4209:6668669,6631385:papier:4209:6668911,6631618:papier:4209:6669775,6631619:papier:4209:6669818,6631901:papier:4209:6670116,6632901:papier:4209:6671162,6632902:papier:4209:6671475,6633542:papier:4209:6635424,6633543:papier:4209:6635305,6633544:papier:4209:6671851,6633545:papier:4209:6635363,6633546:papier:4209:6672303,6635651:papier:4209:6661088,6635653:papier:4209:6660896,6639123:papier:4209:6644429,6639124:papier:4209:6639712,6639695:papier:4'}, {'unwanted_material': 'papier', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.9902901831097267, 'nb_photo': 2955, 'list_port_cont': '6860598,6860874,6861066,6861173,6861345,6861539,6861959,6862604,6863422,6863593,6864917,6865058,6866086,6866174,6876761,6877571,6877655,6877751,6881620,6886395,6888025,6889756,6894811,6902822,6905423,6907081,6909151,6920947', 'assoc_port': '6860529:6861066,6860533:6861173,6860534:6860598,6860536:6860874,6861163:6861539,6861164:6861345,6861513:6861959,6861515:6862604,6863219:6863593,6863221:6863422,6864847:6866174,6864849:6865058,6864854:6864917,6865737:6866086,6876690:6876761,6877477:6877751,6877481:6877655,6877482:6877571,6881493:6881620,6886257:6886395,6887731:6888025,6889188:6889756,6894658:6894811,6899249:6909151,6900676:6902822,6903711:6907081,6905103:6905423,6920015:6920947', 'assoc_mat': '6860529:papier:4209:6861066,6860533:papier:4209:6861173,6860534:papier:4209:6860598,6860536:papier:4209:6860874,6861163:papier:4209:6861539,6861164:papier:4209:6861345,6861513:papier:4209:6861959,6861515:papier:4209:6862604,6863219:papier:4209:6863593,6863221:papier:4209:6863422,6864847:papier:4209:6866174,6864849:papier:4209:6865058,6864854:papier:4209:6864917,6865737:papier:4209:6866086,6876690:papier:4209:6876761,6877477:papier:4209:6877751,6877481:papier:4209:6877655,6877482:papier:4209:6877571,6881493:papier:4209:6881620,6886257:papier:4209:6886395,6887731:papier:4209:6888025,6889188:papier:4209:6889756,6894658:papier:4209:6894811,6899249:papier:4209:6909151,6900676:papier:4209:6902822,6903711:papier:4209:6907081,6905103:papier:4209:6905423,6920015:papier:4209:6920947'}, {'unwanted_material': 'papier', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.010245453120925422, 'nb_photo': 31, 'list_port_cont': '6647707,6861711', 'assoc_port': '6647200:6647707,6861521:6861711', 'assoc_mat': '6647200:papier:4200:6647707,6861521:papier:4200:6861711'}, {'unwanted_material': 'pehd', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 2.520265649788176e-05, 'nb_photo': 2, 'list_port_cont': '6678458', 'assoc_port': '6678032:6678458', 'assoc_mat': '6678032:pehd:4209:6678458'}, {'unwanted_material': 'pet_clair', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0009691335779369147, 'nb_photo': 50, 'list_port_cont': '6862208,6862361,6862535,6862580,6862650,6867917,6868229,6868248,6868281,6868376,6868672,6869102,6869324,6869466,6869550,6877011,6877046,6877191,6877677,6877777,6877812,6877923,6877993,6878035,6886875,6888290,6891353,6896153,6898498,6904509,6907044,6917257,6922719,6925591', 'assoc_port': '6790887:6862535,6832752:6877923,6833565:6878035,6834821:6877993,6836050:6877777,6838973:6877677,6842390:6877812,6846972:6869550,6846973:6869466,6848417:6869324,6851003:6868672,6852533:6869102,6861512:6868229,6861514:6868281,6861516:6868248,6861517:6868376,6861519:6862580,6861520:6862650,6861524:6862208,6861635:6862361,6864848:6867917,6876683:6877191,6876685:6877011,6876686:6877046,6886258:6886875,6887695:6888290,6889190:6891353,6895749:6896153,6898175:6898498,6904057:6904509,6906036:6907044,6917033:6917257,6921897:6922719,6925484:6925591', 'assoc_mat': '6790887:pet_clair:4207:6862535,6832752:pet_clair:4207:6877923,6833565:pet_clair:4207:6878035,6834821:pet_clair:4207:6877993,6836050:pet_clair:4207:6877777,6838973:pet_clair:4207:6877677,6842390:pet_clair:4207:6877812,6846972:pet_clair:4207:6869550,6846973:pet_clair:4207:6869466,6848417:pet_clair:4207:6869324,6851003:pet_clair:4207:6868672,6852533:pet_clair:4207:6869102,6861512:pet_clair:4207:6868229,6861514:pet_clair:4207:6868281,6861516:pet_clair:4207:6868248,6861517:pet_clair:4207:6868376,6861519:pet_clair:4207:6862580,6861520:pet_clair:4207:6862650,6861524:pet_clair:4207:6862208,6861635:pet_clair:4207:6862361,6864848:pet_clair:4207:6867917,6876683:pet_clair:4207:6877191,6876685:pet_clair:4207:6877011,6876686:pet_clair:4207:6877046,6886258:pet_clair:4207:6886875,6887695:pet_clair:4207:6888290,6889190:pet_clair:4207:6891353,6895749:pet_clair:4207:6896153,6898175:pet_clair:4207:6898498,6904057:pet_clair:4207:6904509,6906036:pet_clair:4207:6907044,6917033:pet_clair:4207:6917257,6921897:pet_clair:4207:6922719,6'}, {'unwanted_material': 'pet_clair', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.00038788845724592604, 'nb_photo': 52, 'list_port_cont': '6613103,6648162,6655833,6657176,6658378,6660889,6666083,6666651,6666947,6668915,6669550,6669705,6669777,6671157,6700228,6704711,6706879,6709548,6712610,6720621,6722887,6723439,6744920,6748621,6748942,6761453,6774102,6776478,6837016,6841130,6846026,6853934', 'assoc_port': '6612572:6613103,6630822:6666083,6631385:6668915,6631618:6669777,6632901:6671157,6635653:6660889,6647202:6648162,6655088:6655833,6656505:6657176,6656506:6658378,6665067:6666947,6665718:6666651,6668654:6669705,6668657:6669550,6699726:6700228,6700555:6704711,6706262:6706879,6707499:6709548,6708643:6712610,6720202:6720621,6722573:6722887,6723094:6723439,6744086:6744920,6747584:6748621,6748313:6748942,6761126:6761453,6773386:6774102,6776077:6776478,6836050:6837016,6840554:6841130,6845438:6846026,6852534:6853934', 'assoc_mat': '6612572:pet_clair:4209:6613103,6630822:pet_clair:4209:6666083,6631385:pet_clair:4209:6668915,6631618:pet_clair:4209:6669777,6632901:pet_clair:4209:6671157,6635653:pet_clair:4209:6660889,6647202:pet_clair:4209:6648162,6655088:pet_clair:4209:6655833,6656505:pet_clair:4209:6657176,6656506:pet_clair:4209:6658378,6665067:pet_clair:4209:6666947,6665718:pet_clair:4209:6666651,6668654:pet_clair:4209:6669705,6668657:pet_clair:4209:6669550,6699726:pet_clair:4209:6700228,6700555:pet_clair:4209:6704711,6706262:pet_clair:4209:6706879,6707499:pet_clair:4209:6709548,6708643:pet_clair:4209:6712610,6720202:pet_clair:4209:6720621,6722573:pet_clair:4209:6722887,6723094:pet_clair:4209:6723439,6744086:pet_clair:4209:6744920,6747584:pet_clair:4209:6748621,6748313:pet_clair:4209:6748942,6761126:pet_clair:4209:6761453,6773386:pet_clair:4209:6774102,6776077:pet_clair:4209:6776478,6836050:pet_clair:4209:6837016,6840554:pet_clair:4209:6841130,6845438:pet_clair:4209:6846026,6852534:pet_clair:4209:6853934'}, {'unwanted_material': 'pet_clair', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.00042088720046359597, 'nb_photo': 1, 'list_port_cont': '6862605', 'assoc_port': '6861515:6862605', 'assoc_mat': '6861515:pet_clair:4209:6862605'}, {'unwanted_material': 'pet_fonce', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0008578698895049885, 'nb_photo': 28, 'list_port_cont': '6860798,6861839,6862207,6868256,6868671,6869549,6877674,6877708,6877816,6877879,6878008,6886869,6888301,6889467,6898496,6904520,6915175,6922716', 'assoc_port': '6832753:6877879,6834821:6878008,6838973:6877674,6840554:6877708,6842390:6877816,6846972:6869549,6851003:6868671,6855642:6860798,6859123:6861839,6861516:6868256,6861524:6862207,6886258:6886869,6887695:6888301,6887698:6889467,6898175:6898496,6904057:6904520,6914259:6915175,6921897:6922716', 'assoc_mat': '6832753:pet_fonce:4207:6877879,6834821:pet_fonce:4207:6878008,6838973:pet_fonce:4207:6877674,6840554:pet_fonce:4207:6877708,6842390:pet_fonce:4207:6877816,6846972:pet_fonce:4207:6869549,6851003:pet_fonce:4207:6868671,6855642:pet_fonce:4207:6860798,6859123:pet_fonce:4207:6861839,6861516:pet_fonce:4207:6868256,6861524:pet_fonce:4207:6862207,6886258:pet_fonce:4207:6886869,6887695:pet_fonce:4207:6888301,6887698:pet_fonce:4207:6889467,6898175:pet_fonce:4207:6898496,6904057:pet_fonce:4207:6904520,6914259:pet_fonce:4207:6915175,6921897:pet_fonce:4207:6922716'}, {'unwanted_material': 'pet_fonce', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.002001176734086916, 'nb_photo': 165, 'list_port_cont': '6613106,6614596,6626457,6628830,6629210,6635370,6641607,6642548,6644426,6646347,6647448,6648893,6654377,6659140,6659225,6660883,6661079,6664546,6664700,6665227,6666079,6666644,6666756,6666950,6668662,6669252,6669485,6669785,6671575,6674270,6678461,6683425,6683978,6702227,6704714,6706892,6708972,6709423,6709577,6711293,6712608,6718881,6719276,6719647,6720634,6722892,6723506,6744910,6748597,6762003,6774109,6776983,6841135,6842934,6847565,6859391', 'assoc_port': '6612572:6613106,6614336:6614596,6625827:6626457,6628455:6628830,6628736:6629210,6630577:6664546,6630578:6664700,6630581:6665227,6630822:6666079,6631384:6668662,6631618:6669785,6633545:6635370,6635651:6661079,6635653:6660883,6639123:6644426,6639695:6642548,6640928:6641607,6645791:6646347,6646682:6647448,6648217:6648893,6652800:6654377,6657819:6659140,6659025:6659225,6665067:6666950,6665718:6666644,6665719:6666756,6668655:6669252,6668656:6669485,6670886:6671575,6673850:6674270,6678032:6678461,6682633:6683425,6683289:6683978,6700555:6704714,6701501:6702227,6706262:6706892,6706760:6709423,6707163:6708972,6707499:6709577,6708643:6712608,6708644:6711293,6718520:6719276,6718521:6718881,6719441:6719647,6720202:6720634,6722573:6722892,6723192:6723506,6744086:6744910,6747584:6748597,6759349:6762003,6773386:6774109,6775574:6776983,6840554:6841135,6842390:6842934,6846972:6847565,6859123:6859391', 'assoc_mat': '6612572:pet_fonce:4209:6613106,6614336:pet_fonce:4209:6614596,6625827:pet_fonce:4209:6626457,6628455:pet_fonce:4209:6628830,6628736:pet_fonce:4209:6629210,6630577:pet_fonce:4209:6664546,6630578:pet_fonce:4209:6664700,6630581:pet_fonce:4209:6665227,6630822:pet_fonce:4209:6666079,6631384:pet_fonce:4209:6668662,6631618:pet_fonce:4209:6669785,6633545:pet_fonce:4209:6635370,6635651:pet_fonce:4209:6661079,6635653:pet_fonce:4209:6660883,6639123:pet_fonce:4209:6644426,6639695:pet_fonce:4209:6642548,6640928:pet_fonce:4209:6641607,6645791:pet_fonce:4209:6646347,6646682:pet_fonce:4209:6647448,6648217:pet_fonce:4209:6648893,6652800:pet_fonce:4209:6654377,6657819:pet_fonce:4209:6659140,6659025:pet_fonce:4209:6659225,6665067:pet_fonce:4209:6666950,6665718:pet_fonce:4209:6666644,6665719:pet_fonce:4209:6666756,6668655:pet_fonce:4209:6669252,6668656:pet_fonce:4209:6669485,6670886:pet_fonce:4209:6671575,6673850:pet_fonce:4209:6674270,6678032:pet_fonce:4209:6678461,6682633:pet_fonce:4209:6683425,6683289:pet_fonce:4209:6683978,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0009882492230258019, 'nb_photo': 2, 'list_port_cont': '6894805', 'assoc_port': '6894658:6894805', 'assoc_mat': '6894658:pet_fonce:4209:6894805'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9832720072705387, 'nb_photo': 21, 'list_port_cont': '6647700,6861697', 'assoc_port': '6647200:6647700,6861521:6861697', 'assoc_mat': '6647200:pet_fonce:4200:6647700,6861521:pet_fonce:4200:6861697'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0006428090611349251, 'nb_photo': 9, 'list_port_cont': '6866496,6868369,6869096,6869546,6878036,6904487,6905142,6905991,6922715', 'assoc_port': '6833565:6878036,6846972:6869546,6852533:6869096,6861517:6868369,6864855:6866496,6903710:6905991,6903712:6904487,6905102:6905142,6921897:6922715', 'assoc_mat': '6833565:pet_opaque:4207:6878036,6846972:pet_opaque:4207:6869546,6852533:pet_opaque:4207:6869096,6861517:pet_opaque:4207:6868369,6864855:pet_opaque:4207:6866496,6903710:pet_opaque:4207:6905991,6903712:pet_opaque:4207:6904487,6905102:pet_opaque:4207:6905142,6921897:pet_opaque:4207:6922715'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005744915736568625, 'nb_photo': 214, 'list_port_cont': '6613105,6614118,6616031,6627858,6628408,6628839,6629216,6629282,6635308,6635367,6639706,6640660,6641595,6644422,6647441,6655823,6657172,6658373,6659149,6660897,6661077,6664543,6664634,6664804,6664940,6665229,6666078,6666656,6666757,6666952,6667994,6668664,6668914,6669254,6669547,6669695,6669784,6669814,6670110,6671566,6671848,6672292,6674152,6676774,6678456,6681180,6683428,6683979,6700223,6704719,6706884,6709575,6711305,6712607,6718352,6718715,6719280,6719890,6720396,6722151,6722589,6722891,6723435,6744915,6748617,6748952,6749035,6760254,6761440,6774110,6776978,6813183,6834135,6834365,6834702,6835809,6839582,6841141,6842938,6853225,6853523,6859402', 'assoc_port': '6612572:6613105,6613636:6614118,6614891:6616031,6627447:6627858,6627801:6628408,6627802:6629282,6628455:6628839,6628736:6629216,6630577:6664543,6630579:6664634,6630580:6664940,6630581:6665229,6630822:6666078,6631154:6667994,6631384:6668664,6631385:6668914,6631618:6669784,6631619:6669814,6631901:6670110,6633543:6635308,6633544:6671848,6633545:6635367,6633546:6672292,6635651:6661077,6635653:6660897,6639123:6644422,6639124:6639706,6640066:6640660,6640928:6641595,6646682:6647441,6655088:6655823,6656505:6657172,6656506:6658373,6657819:6659149,6663042:6664804,6665067:6666952,6665718:6666656,6665719:6666757,6668654:6669695,6668655:6669254,6668657:6669547,6670886:6671566,6671756:6676774,6673385:6674152,6678032:6678456,6680947:6681180,6682633:6683428,6683289:6683979,6699726:6700223,6700555:6704719,6706262:6706884,6707499:6709575,6708643:6712607,6708644:6711305,6715973:6718352,6716500:6718715,6717201:6719890,6718520:6719280,6719951:6720396,6721826:6722589,6721827:6722151,6722573:6722891,6723094:6723435,6744086:6744915,', 'assoc_mat': '6612572:pet_opaque:4209:6613105,6613636:pet_opaque:4209:6614118,6614891:pet_opaque:4209:6616031,6627447:pet_opaque:4209:6627858,6627801:pet_opaque:4209:6628408,6627802:pet_opaque:4209:6629282,6628455:pet_opaque:4209:6628839,6628736:pet_opaque:4209:6629216,6630577:pet_opaque:4209:6664543,6630579:pet_opaque:4209:6664634,6630580:pet_opaque:4209:6664940,6630581:pet_opaque:4209:6665229,6630822:pet_opaque:4209:6666078,6631154:pet_opaque:4209:6667994,6631384:pet_opaque:4209:6668664,6631385:pet_opaque:4209:6668914,6631618:pet_opaque:4209:6669784,6631619:pet_opaque:4209:6669814,6631901:pet_opaque:4209:6670110,6633543:pet_opaque:4209:6635308,6633544:pet_opaque:4209:6671848,6633545:pet_opaque:4209:6635367,6633546:pet_opaque:4209:6672292,6635651:pet_opaque:4209:6661077,6635653:pet_opaque:4209:6660897,6639123:pet_opaque:4209:6644422,6639124:pet_opaque:4209:6639706,6640066:pet_opaque:4209:6640660,6640928:pet_opaque:4209:6641595,6646682:pet_opaque:4209:6647441,6655088:pet_opaque:4209:6655823,6656505:pet_opaque:4209:6657172,'})
select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in
                       (select mtr_portfolio_id from MTRPhoto.dashboard_results
                       where dashboard_run_id in(448643,449568,454450,454465,454459,454472,456239,458795,461498,454567,457375,457649,459844,460382,461634,463066,472528,465865,469297,468129,475039,472453,474892,474538,475316,476524,479832,481665,479903));
after get_hostname_from_raspi
 hasthag :  emr
 hasthag that could be used but not yet :  _______carton
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______emr' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  jrm
 hasthag that could be used but not yet :  _______papier
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______jrm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  aluminium
 hasthag that could be used but not yet :  _______metal
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______aluminium' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  pet_fonce
 hasthag that could be used but not yet :  _______pet_fonce
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______pet_fonce' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  gm
 hasthag that could be used but not yet :  _______papier
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______gm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
after impurety_average_per_hashtag
{'number_of_analysed_photos': ((8000,),), 'unwanted_material_monthly_percentage': ((0.02991916097445073,),), 'material_repartition': (('emr', 5015), ('gm', 135), ('aluminium', 89), ('jrm', 45), ('pet_fonce', 28)), 'material_dict': {'emr': 5015, 'autres': 297}, 'coverage_data': (('2022/08/31/', 0.645567), ('2022/08/30/', 1.0), ('2022/08/29/', 1.0), ('2022/08/27/', 0.463906), ('2022/08/26/', 1.0), ('2022/08/25/', 0.812121), ('2022/08/24/', 1.0), ('2022/08/23/', 1.0), ('2022/08/22/', 0.486486), ('2022/08/20/', 0.473359), ('2022/08/19/', 0.441242), ('2022/08/18/', 0.836601), ('2022/08/17/', 0.898649), ('2022/08/16/', 0.581668), ('2022/08/15/', 0.604208), ('2022/08/13/', 0.905738), ('2022/08/12/', 1.0), ('2022/08/11/', 0.555556), ('2022/08/10/', 1.0), ('2022/08/09/', 1.0), ('2022/08/08/', 1.0), ('2022/08/06/', 0.45925), ('2022/08/05/', 1.0), ('2022/08/04/', 0.511261), ('2022/08/03/', 0.850806), ('2022/08/02/', 0.714286), ('2022/08/01/', 0.615778)), 'impurety_average_data': ((datetime.date(2022, 8, 2), 0.014282331762157728, 103), (datetime.date(2022, 8, 3), 0.03494206677880239, 211), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.04557840319999026, 54), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.02268268592206632, 320), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.029592761588569258, 277), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.02985658365132344, 351), (datetime.date(2022, 8, 24), 0.02890717923269598, 369), (datetime.date(2022, 8, 25), 0.02964405365672207, 385), (datetime.date(2022, 8, 26), 0.027188360813364603, 209), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.023942954543620824, 233), (datetime.date(2022, 8, 30), 0.03176500481166622, 362), (datetime.date(2022, 8, 31), 0.024400799858355637, 340)), 'impurety_average_data_per_hashtag': {'emr': ((datetime.date(2022, 8, 2), 0.014497225753743103, 90), (datetime.date(2022, 8, 3), 0.035407726190541, 201), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.051389769677544335, 43), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.022808792662868328, 304), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.03144342737311807, 238), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.030080632780942033, 330), (datetime.date(2022, 8, 24), 0.029230789634089597, 345), (datetime.date(2022, 8, 25), 0.029901630015503007, 357), (datetime.date(2022, 8, 26), 0.028097448563616227, 175), (datetime.date(2022, 8, 29), 0.03005524006484819, 165), (datetime.date(2022, 8, 30), 0.03263495327830263, 307), (datetime.date(2022, 8, 31), 0.02525588399363416, 301)), 'jrm': ((datetime.date(2022, 8, 2), 0.012085072487249132, 13), (datetime.date(2022, 8, 19), 0.010114825333022708, 10), (datetime.date(2022, 8, 23), 0.024498907798673017, 5), (datetime.date(2022, 8, 26), 0.0052974707656706635, 12), (datetime.date(2022, 8, 29), 0.0180872193641313, 5), (datetime.date(2022, 8, 30), 0.012309361035885383, 18), (datetime.date(2022, 8, 31), 0.0, 30)), 'aluminium': ((datetime.date(2022, 8, 3), 0.0029466085982426723, 10), (datetime.date(2022, 8, 6), 0.0, 11), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.0027249051959917212, 35), (datetime.date(2022, 8, 30), 0.0, 5)), 'pet_fonce': ((datetime.date(2022, 8, 9), 0.01691330253037371, 16), (datetime.date(2022, 8, 19), 0.01514668242834379, 6), (datetime.date(2022, 8, 29), 0.0, 6)), 'gm': ((datetime.date(2022, 8, 19), 0.0036688743500458555, 23), (datetime.date(2022, 8, 23), 2.7541150063779214e-07, 16), (datetime.date(2022, 8, 24), 0.009998135847154843, 24), (datetime.date(2022, 8, 25), 0.007110951820118182, 28), (datetime.date(2022, 8, 26), 0.0026635914561474365, 22), (datetime.date(2022, 8, 29), 0.005845156606103965, 22), (datetime.date(2022, 8, 30), 0.01774597693816732, 32), (datetime.date(2022, 8, 31), 0.04037847154938461, 9))}, 'quality_array': [['7.002742885641196', '01082022'], ['7.276538764582762', '02082022'], ['7.489191991610414', '03082022'], ['7.1515808570282635', '04082022'], ['7.481548146738859', '05082022'], ['7.304119764213931', '06082022'], ['7.180322525692267', '08082022'], ['6.878113539107664', '09082022'], ['7.100998473868195', '10082022'], ['7.303181417036363', '11082022'], ['6.929539513848952', '12082022'], ['6.949887273916412', '13082022'], ['6.952864344290567', '15082022'], ['6.946439599449299', '16082022'], ['8.200164971876198', '17082022'], ['7.414826551741067', '18082022'], ['7.567049552876916', '19082022'], ['8.275572615180698', '22082022'], ['8.683058890962057', '23082022'], ['9.447587725285345', '24082022'], ['9.907266828738836', '25082022'], ['9.398694081509628', '26082022'], ['3.699836545530341', '28082022'], ['9.278913980706943', '29082022'], ['9.808918378829057', '30082022'], ['12.679394134058633', '31082022']], 'number_of_batch': ((325,),), 'datou_id_sts': 3981, 'map_hashtag_number_mat': {'hash_to_mat_nb': ({'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001728785023265608, 'nb_photo': 18, 'list_port_cont': '6861407,6862123,6862547,6867908,6868674,6869389,6869558,6877707,6877972,6881690,6891352,6894202,6907047,6922714,6925593', 'assoc_port': '6790887:6862547,6794193:6862123,6834822:6877972,6840554:6877707,6845438:6869389,6846972:6869558,6851003:6868674,6853215:6861407,6864848:6867908,6881492:6881690,6889190:6891352,6894094:6894202,6906036:6907047,6921897:6922714,6925484:6925593', 'assoc_mat': '6790887:barquette_opaque:4207:6862547,6794193:barquette_opaque:4207:6862123,6834822:barquette_opaque:4207:6877972,6840554:barquette_opaque:4207:6877707,6845438:barquette_opaque:4207:6869389,6846972:barquette_opaque:4207:6869558,6851003:barquette_opaque:4207:6868674,6853215:barquette_opaque:4207:6861407,6864848:barquette_opaque:4207:6867908,6881492:barquette_opaque:4207:6881690,6889190:barquette_opaque:4207:6891352,6894094:barquette_opaque:4207:6894202,6906036:barquette_opaque:4207:6907047,6921897:barquette_opaque:4207:6922714,6925484:barquette_opaque:4207:6925593'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 8.469862336652651e-05, 'nb_photo': 44, 'list_port_cont': '6626450,6627857,6628405,6628829,6644425,6664932,6665236,6666075,6666652,6669243,6669771,6706891,6712605,6719637,6720391,6720629,6722154,6744912,6762879,6775287,6835808,6841133,6842925,6846016,6852775,6853230', 'assoc_port': '6625827:6626450,6627447:6627857,6627801:6628405,6628455:6628829,6630580:6664932,6630581:6665236,6630822:6666075,6631618:6669771,6639123:6644425,6665718:6666652,6668655:6669243,6706262:6706891,6708643:6712605,6719441:6719637,6719951:6720391,6720202:6720629,6721827:6722154,6744086:6744912,6762224:6762879,6774283:6775287,6834821:6835808,6840554:6841133,6842390:6842925,6845438:6846016,6852117:6852775,6852533:6853230', 'assoc_mat': '6625827:barquette_opaque:4209:6626450,6627447:barquette_opaque:4209:6627857,6627801:barquette_opaque:4209:6628405,6628455:barquette_opaque:4209:6628829,6630580:barquette_opaque:4209:6664932,6630581:barquette_opaque:4209:6665236,6630822:barquette_opaque:4209:6666075,6631618:barquette_opaque:4209:6669771,6639123:barquette_opaque:4209:6644425,6665718:barquette_opaque:4209:6666652,6668655:barquette_opaque:4209:6669243,6706262:barquette_opaque:4209:6706891,6708643:barquette_opaque:4209:6712605,6719441:barquette_opaque:4209:6719637,6719951:barquette_opaque:4209:6720391,6720202:barquette_opaque:4209:6720629,6721827:barquette_opaque:4209:6722154,6744086:barquette_opaque:4209:6744912,6762224:barquette_opaque:4209:6762879,6774283:barquette_opaque:4209:6775287,6834821:barquette_opaque:4209:6835808,6840554:barquette_opaque:4209:6841133,6842390:barquette_opaque:4209:6842925,6845438:barquette_opaque:4209:6846016,6852117:barquette_opaque:4209:6852775,6852533:barquette_opaque:4209:6853230'}, {'unwanted_material': 'carton', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.01022994561299725, 'nb_photo': 16, 'list_port_cont': '6625532,6880743,6880786', 'assoc_port': '6625304:6625532,6880715:6880786,6880716:6880743', 'assoc_mat': '6625304:carton:4205:6625532,6880715:carton:4205:6880786,6880716:carton:4205:6880743'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.9683717828305286, 'nb_photo': 2565, 'list_port_cont': '6860769,6860801,6860841,6860928,6860987,6861035,6861210,6861405,6861437,6861808,6861831,6861929,6862023,6862130,6862206,6862328,6862365,6862540,6862581,6862649,6862984,6863819,6864050,6866304,6866467,6866495,6866955,6867660,6867837,6867907,6868220,6868254,6868280,6868378,6868398,6868623,6868676,6868731,6868887,6868963,6869104,6869323,6869395,6869455,6869560,6876859,6876893,6876912,6876948,6877006,6877054,6877103,6877189,6877551,6877616,6877676,6877710,6877780,6877820,6877867,6877909,6877915,6877971,6877996,6878027,6881699,6884486,6886468,6886876,6887990,6888294,6889466,6891082,6891177,6891354,6894196,6894492,6895946,6896156,6897897,6898092,6898471,6898488,6900295,6900456,6904480,6904513,6905153,6905998,6906484,6907056,6908162,6908516,6908935,6909121,6914618,6915177,6915209,6915268,6916694,6917250,6917397,6920809,6922717,6925589', 'assoc_port': '6790886:6864050,6790887:6862540,6794193:6862130,6832752:6877915,6832753:6877867,6833565:6878027,6834821:6877996,6834822:6877971,6836050:6877780,6838973:6877676,6838974:6877616,6840554:6877710,6842390:6877820,6845438:6869395,6846972:6869560,6846973:6869455,6848417:6869323,6849526:6868887,6851003:6868676,6852117:6868731,6852533:6869104,6852534:6868963,6853215:6861405,6853569:6861437,6853919:6868623,6855642:6860801,6859123:6861831,6860530:6861210,6860531:6861035,6860532:6860987,6860535:6860928,6860537:6860841,6860538:6860769,6861512:6868220,6861514:6868280,6861516:6868254,6861517:6868378,6861519:6862581,6861520:6862649,6861522:6861808,6861523:6862328,6861524:6862206,6861525:6861929,6861635:6862365,6861636:6862023,6862501:6862984,6863220:6863819,6864848:6867907,6864850:6867837,6864851:6867660,6864853:6866955,6864855:6866495,6865738:6866304,6865739:6866467,6868332:6868398,6876683:6877189,6876684:6876912,6876685:6877006,6876686:6877054,6876687:6877103,6876688:6876893,6876689:6876948,6876691:6876859,6877478:6877909,', 'assoc_mat': '6790886:carton:4207:6864050,6790887:carton:4207:6862540,6794193:carton:4207:6862130,6832752:carton:4207:6877915,6832753:carton:4207:6877867,6833565:carton:4207:6878027,6834821:carton:4207:6877996,6834822:carton:4207:6877971,6836050:carton:4207:6877780,6838973:carton:4207:6877676,6838974:carton:4207:6877616,6840554:carton:4207:6877710,6842390:carton:4207:6877820,6845438:carton:4207:6869395,6846972:carton:4207:6869560,6846973:carton:4207:6869455,6848417:carton:4207:6869323,6849526:carton:4207:6868887,6851003:carton:4207:6868676,6852117:carton:4207:6868731,6852533:carton:4207:6869104,6852534:carton:4207:6868963,6853215:carton:4207:6861405,6853569:carton:4207:6861437,6853919:carton:4207:6868623,6855642:carton:4207:6860801,6859123:carton:4207:6861831,6860530:carton:4207:6861210,6860531:carton:4207:6861035,6860532:carton:4207:6860987,6860535:carton:4207:6860928,6860537:carton:4207:6860841,6860538:carton:4207:6860769,6861512:carton:4207:6868220,6861514:carton:4207:6868280,6861516:carton:4207:6868254,6861517:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007834080277437061, 'nb_photo': 1462, 'list_port_cont': '6613099,6614127,6614585,6615525,6616029,6626453,6627860,6628395,6628840,6629152,6629205,6629281,6635304,6635369,6635432,6639702,6640661,6641608,6642551,6644436,6646356,6647438,6648160,6648884,6654375,6655819,6657180,6658370,6659145,6659232,6660891,6661075,6664557,6664640,6664706,6664802,6664929,6665234,6666043,6666077,6666648,6666765,6666944,6668004,6668673,6668922,6669250,6669483,6669559,6669701,6669786,6669812,6670114,6671149,6671463,6671574,6671847,6672297,6674151,6674264,6674794,6676772,6678452,6681186,6683438,6683967,6700222,6702222,6704712,6706887,6708974,6709414,6709569,6710040,6710776,6711299,6712611,6716502,6718348,6718717,6718883,6719281,6719649,6719891,6720389,6720622,6722163,6722585,6722885,6723449,6723510,6744917,6745245,6746407,6748615,6748946,6749029,6758826,6760253,6760547,6761445,6761998,6762877,6774108,6774613,6775298,6776475,6776981,6813192,6834126,6834362,6834696,6835803,6836102,6837017,6839291,6839592,6841138,6842928,6846019,6847495,6847556,6849259,6850419,6851368,6852770,6853216,6853519,', 'assoc_port': '6612572:6613099,6613636:6614127,6614336:6614585,6614890:6615525,6614891:6616029,6625827:6626453,6627447:6627860,6627801:6628395,6627802:6629281,6628455:6628840,6628735:6629152,6628736:6629205,6630577:6664557,6630578:6664706,6630579:6664640,6630580:6664929,6630581:6665234,6630822:6666077,6630823:6666043,6631154:6668004,6631384:6668673,6631385:6668922,6631618:6669786,6631619:6669812,6631901:6670114,6632901:6671149,6632902:6671463,6633542:6635432,6633543:6635304,6633544:6671847,6633545:6635369,6633546:6672297,6635651:6661075,6635653:6660891,6639123:6644436,6639124:6639702,6639695:6642551,6640066:6640661,6640928:6641608,6645791:6646356,6646682:6647438,6647202:6648160,6648217:6648884,6652800:6654375,6655088:6655819,6656505:6657180,6656506:6658370,6657819:6659145,6659025:6659232,6663042:6664802,6665067:6666944,6665718:6666648,6665719:6666765,6668654:6669701,6668655:6669250,6668656:6669483,6668657:6669559,6670886:6671574,6671756:6676772,6673385:6674151,6673850:6674264,6674357:6674794,6678032:6678452,6680947:6681186,', 'assoc_mat': '6612572:carton:4209:6613099,6613636:carton:4209:6614127,6614336:carton:4209:6614585,6614890:carton:4209:6615525,6614891:carton:4209:6616029,6625827:carton:4209:6626453,6627447:carton:4209:6627860,6627801:carton:4209:6628395,6627802:carton:4209:6629281,6628455:carton:4209:6628840,6628735:carton:4209:6629152,6628736:carton:4209:6629205,6630577:carton:4209:6664557,6630578:carton:4209:6664706,6630579:carton:4209:6664640,6630580:carton:4209:6664929,6630581:carton:4209:6665234,6630822:carton:4209:6666077,6630823:carton:4209:6666043,6631154:carton:4209:6668004,6631384:carton:4209:6668673,6631385:carton:4209:6668922,6631618:carton:4209:6669786,6631619:carton:4209:6669812,6631901:carton:4209:6670114,6632901:carton:4209:6671149,6632902:carton:4209:6671463,6633542:carton:4209:6635432,6633543:carton:4209:6635304,6633544:carton:4209:6671847,6633545:carton:4209:6635369,6633546:carton:4209:6672297,6635651:carton:4209:6661075,6635653:carton:4209:6660891,6639123:carton:4209:6644436,6639124:carton:4209:6639702,6639695:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0029313403454804565, 'nb_photo': 10, 'list_port_cont': '6861174,6862613,6886392,6902824,6905431,6920955', 'assoc_port': '6860533:6861174,6861515:6862613,6886257:6886392,6900676:6902824,6905103:6905431,6920015:6920955', 'assoc_mat': '6860533:carton:4209:6861174,6861515:carton:4209:6862613,6886257:carton:4209:6886392,6900676:carton:4209:6902824,6905103:carton:4209:6905431,6920015:carton:4209:6920955'}, {'unwanted_material': 'carton', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.005861756255830517, 'nb_photo': 4, 'list_port_cont': '6647696', 'assoc_port': '6647200:6647696', 'assoc_mat': '6647200:carton:4200:6647696'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001359155180754883, 'nb_photo': 1, 'list_port_cont': '6877603', 'assoc_port': '6838974:6877603', 'assoc_mat': '6838974:ela:4207:6877603'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 5.6302219709875656e-05, 'nb_photo': 3, 'list_port_cont': '6635371,6644435,6657178', 'assoc_port': '6633545:6635371,6639123:6644435,6656505:6657178', 'assoc_mat': '6633545:ela:4209:6635371,6639123:ela:4209:6644435,6656505:ela:4209:6657178'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0004908205603477037, 'nb_photo': 82, 'list_port_cont': '6860802,6860985,6861441,6861842,6861919,6862212,6862342,6862370,6862544,6862643,6868221,6868633,6868729,6869099,6869322,6869388,6869458,6876887,6877052,6877109,6877190,6877547,6877688,6877715,6877814,6877918,6877964,6877998,6878028,6886871,6891088,6891171,6896147,6900293,6900464,6904479,6907053,6908947,6909124,6915211,6915265,6916685,6917252,6920804,6922718', 'assoc_port': '6790887:6862544,6832752:6877918,6833565:6878028,6834821:6877998,6834822:6877964,6838973:6877688,6840554:6877715,6842390:6877814,6845438:6869388,6846973:6869458,6848417:6869322,6852117:6868729,6852533:6869099,6853569:6861441,6853919:6868633,6855642:6860802,6859123:6861842,6860532:6860985,6861512:6868221,6861520:6862643,6861523:6862342,6861524:6862212,6861525:6861919,6861635:6862370,6876683:6877190,6876686:6877052,6876687:6877109,6876688:6876887,6877480:6877547,6886258:6886871,6889185:6891088,6891024:6891171,6895749:6896147,6899246:6900464,6899248:6900293,6900677:6909124,6900678:6908947,6903712:6904479,6906036:6907053,6914258:6915211,6914260:6916685,6914751:6915265,6917033:6917252,6920014:6920804,6921897:6922718', 'assoc_mat': '6790887:etiquette:4207:6862544,6832752:etiquette:4207:6877918,6833565:etiquette:4207:6878028,6834821:etiquette:4207:6877998,6834822:etiquette:4207:6877964,6838973:etiquette:4207:6877688,6840554:etiquette:4207:6877715,6842390:etiquette:4207:6877814,6845438:etiquette:4207:6869388,6846973:etiquette:4207:6869458,6848417:etiquette:4207:6869322,6852117:etiquette:4207:6868729,6852533:etiquette:4207:6869099,6853569:etiquette:4207:6861441,6853919:etiquette:4207:6868633,6855642:etiquette:4207:6860802,6859123:etiquette:4207:6861842,6860532:etiquette:4207:6860985,6861512:etiquette:4207:6868221,6861520:etiquette:4207:6862643,6861523:etiquette:4207:6862342,6861524:etiquette:4207:6862212,6861525:etiquette:4207:6861919,6861635:etiquette:4207:6862370,6876683:etiquette:4207:6877190,6876686:etiquette:4207:6877052,6876687:etiquette:4207:6877109,6876688:etiquette:4207:6876887,6877480:etiquette:4207:6877547,6886258:etiquette:4207:6886871,6889185:etiquette:4207:6891088,6891024:etiquette:4207:6891171,6895749:etiquette:4207:6896147,6'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0008238173967106119, 'nb_photo': 1049, 'list_port_cont': '6613101,6614126,6614587,6616038,6626458,6627864,6628397,6628838,6629141,6629204,6629280,6635302,6635366,6635430,6640667,6641598,6642545,6644428,6646362,6647450,6648167,6648890,6654367,6655834,6657182,6658372,6659142,6659220,6660894,6661081,6664553,6664638,6664707,6664807,6664938,6665231,6666055,6666086,6666643,6666770,6666946,6668001,6668670,6668913,6669257,6669490,6669555,6669702,6669778,6669808,6670117,6671148,6671464,6671561,6671836,6672301,6674153,6674271,6674799,6676771,6678460,6681184,6683436,6683981,6700231,6702226,6704721,6706890,6708962,6709416,6709579,6710035,6710785,6711300,6712603,6716517,6718720,6718877,6719278,6719639,6719881,6720398,6720627,6722161,6722583,6722896,6723446,6723519,6744916,6745258,6746410,6748605,6748955,6749037,6760261,6760532,6761442,6762007,6774112,6774618,6775290,6776483,6776974,6813185,6834132,6834363,6834703,6835800,6836101,6837027,6839290,6839587,6841136,6842924,6846017,6847494,6847557,6849269,6850421,6852780,6853222,6853521,6853980,6854357,6855828,6859399', 'assoc_port': '6612572:6613101,6613636:6614126,6614336:6614587,6614891:6616038,6625827:6626458,6627447:6627864,6627801:6628397,6627802:6629280,6628455:6628838,6628735:6629141,6628736:6629204,6630577:6664553,6630578:6664707,6630579:6664638,6630580:6664938,6630581:6665231,6630822:6666086,6630823:6666055,6631154:6668001,6631384:6668670,6631385:6668913,6631618:6669778,6631619:6669808,6631901:6670117,6632901:6671148,6632902:6671464,6633542:6635430,6633543:6635302,6633544:6671836,6633545:6635366,6633546:6672301,6635651:6661081,6635653:6660894,6639123:6644428,6639695:6642545,6640066:6640667,6640928:6641598,6645791:6646362,6646682:6647450,6647202:6648167,6648217:6648890,6652800:6654367,6655088:6655834,6656505:6657182,6656506:6658372,6657819:6659142,6659025:6659220,6663042:6664807,6665067:6666946,6665718:6666643,6665719:6666770,6668654:6669702,6668655:6669257,6668656:6669490,6668657:6669555,6670886:6671561,6671756:6676771,6673385:6674153,6673850:6674271,6674357:6674799,6678032:6678460,6680947:6681184,6682633:6683436,6683289:6683981,', 'assoc_mat': '6612572:etiquette:4209:6613101,6613636:etiquette:4209:6614126,6614336:etiquette:4209:6614587,6614891:etiquette:4209:6616038,6625827:etiquette:4209:6626458,6627447:etiquette:4209:6627864,6627801:etiquette:4209:6628397,6627802:etiquette:4209:6629280,6628455:etiquette:4209:6628838,6628735:etiquette:4209:6629141,6628736:etiquette:4209:6629204,6630577:etiquette:4209:6664553,6630578:etiquette:4209:6664707,6630579:etiquette:4209:6664638,6630580:etiquette:4209:6664938,6630581:etiquette:4209:6665231,6630822:etiquette:4209:6666086,6630823:etiquette:4209:6666055,6631154:etiquette:4209:6668001,6631384:etiquette:4209:6668670,6631385:etiquette:4209:6668913,6631618:etiquette:4209:6669778,6631619:etiquette:4209:6669808,6631901:etiquette:4209:6670117,6632901:etiquette:4209:6671148,6632902:etiquette:4209:6671464,6633542:etiquette:4209:6635430,6633543:etiquette:4209:6635302,6633544:etiquette:4209:6671836,6633545:etiquette:4209:6635366,6633546:etiquette:4209:6672301,6635651:etiquette:4209:6661081,6635653:etiquette:4209:6660894,6'}, {'unwanted_material': 'etiquette', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0007589310876444754, 'nb_photo': 16, 'list_port_cont': '6860869,6861178,6861533,6862611,6863435,6876769,6889758,6894819,6902814,6920942', 'assoc_port': '6860533:6861178,6860536:6860869,6861163:6861533,6861515:6862611,6863221:6863435,6876690:6876769,6889188:6889758,6894658:6894819,6900676:6902814,6920015:6920942', 'assoc_mat': '6860533:etiquette:4209:6861178,6860536:etiquette:4209:6860869,6861163:etiquette:4209:6861533,6861515:etiquette:4209:6862611,6863221:etiquette:4209:6863435,6876690:etiquette:4209:6876769,6889188:etiquette:4209:6889758,6894658:etiquette:4209:6894819,6900676:etiquette:4209:6902814,6920015:etiquette:4209:6920942'}, {'unwanted_material': 'etiquette', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0010885671487047438, 'nb_photo': 5, 'list_port_cont': '6647706', 'assoc_port': '6647200:6647706', 'assoc_mat': '6647200:etiquette:4200:6647706'}, {'unwanted_material': 'film_plastique', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.00029682028164317286, 'nb_photo': 8, 'list_port_cont': '6862648,6866460,6877060,6877718,6877925,6922720,6925580', 'assoc_port': '6832752:6877925,6840554:6877718,6861520:6862648,6865739:6866460,6876686:6877060,6921897:6922720,6925484:6925580', 'assoc_mat': '6832752:film_plastique:4207:6877925,6840554:film_plastique:4207:6877718,6861520:film_plastique:4207:6862648,6865739:film_plastique:4207:6866460,6876686:film_plastique:4207:6877060,6921897:film_plastique:4207:6922720,6925484:film_plastique:4207:6925580'}, {'unwanted_material': 'film_plastique', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 9.746706181821035e-05, 'nb_photo': 9, 'list_port_cont': '6614124,6644434,6702223,6711304,6712598,6744913,6834700', 'assoc_port': '6613636:6614124,6639123:6644434,6701501:6702223,6708643:6712598,6708644:6711304,6744086:6744913,6832752:6834700', 'assoc_mat': '6613636:film_plastique:4209:6614124,6639123:film_plastique:4209:6644434,6701501:film_plastique:4209:6702223,6708643:film_plastique:4209:6712598,6708644:film_plastique:4209:6711304,6744086:film_plastique:4209:6744913,6832752:film_plastique:4209:6834700'}, {'unwanted_material': 'kraft', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0011039430628874177, 'nb_photo': 1, 'list_port_cont': '6917403', 'assoc_port': '6917034:6917403', 'assoc_mat': '6917034:kraft:4207:6917403'}, {'unwanted_material': 'metal', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.9896715615394742, 'nb_photo': 54, 'list_port_cont': '6625531,6661187,6880740,6880777,6881860,6918649', 'assoc_port': '6625304:6625531,6632479:6661187,6880715:6880777,6880716:6880740,6881491:6881860,6887696:6918649', 'assoc_mat': '6625304:metal:4205:6625531,6632479:metal:4205:6661187,6880715:metal:4205:6880777,6880716:metal:4205:6880740,6881491:metal:4205:6881860,6887696:metal:4205:6918649'}, {'unwanted_material': 'metal', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.002857356890964171, 'nb_photo': 188, 'list_port_cont': '6860922,6860979,6861033,6861211,6861400,6861433,6861833,6862030,6862128,6862210,6862338,6862362,6862534,6862572,6862638,6863807,6864053,6866290,6866466,6866498,6866956,6867841,6867914,6868223,6868261,6868374,6868621,6868667,6868732,6869091,6869331,6869392,6869468,6869545,6876850,6876885,6876957,6877055,6877099,6877198,6877539,6877618,6877678,6877719,6877785,6877818,6877877,6877912,6877928,6877966,6878004,6878040,6884491,6886881,6887977,6888302,6894497,6895947,6896159,6897898,6898087,6898465,6898489,6900299,6900468,6904477,6905148,6905987,6907057,6908937,6909122,6915222,6915272,6916692,6917256,6920805,6925583', 'assoc_port': '6790886:6864053,6790887:6862534,6794193:6862128,6832752:6877928,6832753:6877877,6833565:6878040,6834821:6878004,6834822:6877966,6836050:6877785,6838973:6877678,6838974:6877618,6840554:6877719,6842390:6877818,6845438:6869392,6846972:6869545,6846973:6869468,6848417:6869331,6851003:6868667,6852117:6868732,6852533:6869091,6853215:6861400,6853569:6861433,6853919:6868621,6859123:6861833,6860530:6861211,6860531:6861033,6860532:6860979,6860535:6860922,6861512:6868223,6861516:6868261,6861517:6868374,6861519:6862572,6861520:6862638,6861523:6862338,6861524:6862210,6861635:6862362,6861636:6862030,6863220:6863807,6864848:6867914,6864850:6867841,6864853:6866956,6864855:6866498,6865738:6866290,6865739:6866466,6876683:6877198,6876686:6877055,6876687:6877099,6876688:6876885,6876689:6876957,6876691:6876850,6877478:6877912,6877480:6877539,6884290:6884491,6886258:6886881,6887695:6888302,6887732:6887977,6894095:6894497,6895749:6896159,6895752:6895947,6897575:6898087,6897576:6897898,6898175:6898489,6898176:6898465,6899246:6900468,', 'assoc_mat': '6790886:metal:4207:6864053,6790887:metal:4207:6862534,6794193:metal:4207:6862128,6832752:metal:4207:6877928,6832753:metal:4207:6877877,6833565:metal:4207:6878040,6834821:metal:4207:6878004,6834822:metal:4207:6877966,6836050:metal:4207:6877785,6838973:metal:4207:6877678,6838974:metal:4207:6877618,6840554:metal:4207:6877719,6842390:metal:4207:6877818,6845438:metal:4207:6869392,6846972:metal:4207:6869545,6846973:metal:4207:6869468,6848417:metal:4207:6869331,6851003:metal:4207:6868667,6852117:metal:4207:6868732,6852533:metal:4207:6869091,6853215:metal:4207:6861400,6853569:metal:4207:6861433,6853919:metal:4207:6868621,6859123:metal:4207:6861833,6860530:metal:4207:6861211,6860531:metal:4207:6861033,6860532:metal:4207:6860979,6860535:metal:4207:6860922,6861512:metal:4207:6868223,6861516:metal:4207:6868261,6861517:metal:4207:6868374,6861519:metal:4207:6862572,6861520:metal:4207:6862638,6861523:metal:4207:6862338,6861524:metal:4207:6862210,6861635:metal:4207:6862362,6861636:metal:4207:6862030,6863220:metal:4207:686380'}, {'unwanted_material': 'metal', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.026017127541676587, 'nb_photo': 787, 'list_port_cont': '6613097,6614121,6615521,6616026,6626451,6627868,6628403,6628835,6629153,6629208,6629277,6635307,6635359,6635433,6639705,6640666,6641594,6642552,6644427,6647437,6648164,6648886,6654370,6655828,6657169,6658371,6659139,6660892,6661087,6664549,6664633,6664701,6664796,6664935,6665224,6666046,6666081,6666646,6666766,6666945,6667992,6668663,6668912,6669249,6669482,6669546,6669703,6669773,6669806,6670109,6671159,6671466,6671576,6672296,6674155,6674267,6674795,6676776,6678453,6681189,6683437,6683972,6700233,6702218,6704725,6706893,6708961,6709417,6709566,6710044,6710774,6711296,6712599,6716510,6718358,6718713,6718870,6719287,6719648,6720401,6720631,6722162,6722586,6722893,6723437,6723512,6744909,6745246,6746419,6748619,6748941,6749034,6758839,6760267,6760542,6761443,6762005,6774106,6774607,6775285,6776482,6776987,6813179,6834120,6834369,6834695,6835802,6836110,6837026,6839593,6841134,6846021,6847508,6847568,6849264,6850424,6851374,6852778,6853219,6853526,6854348,6855834,6859395', 'assoc_port': '6612572:6613097,6613636:6614121,6614890:6615521,6614891:6616026,6625827:6626451,6627447:6627868,6627801:6628403,6627802:6629277,6628455:6628835,6628735:6629153,6628736:6629208,6630577:6664549,6630578:6664701,6630579:6664633,6630580:6664935,6630581:6665224,6630822:6666081,6630823:6666046,6631154:6667992,6631384:6668663,6631385:6668912,6631618:6669773,6631619:6669806,6631901:6670109,6632901:6671159,6632902:6671466,6633542:6635433,6633543:6635307,6633545:6635359,6633546:6672296,6635651:6661087,6635653:6660892,6639123:6644427,6639124:6639705,6639695:6642552,6640066:6640666,6640928:6641594,6646682:6647437,6647202:6648164,6648217:6648886,6652800:6654370,6655088:6655828,6656505:6657169,6656506:6658371,6657819:6659139,6663042:6664796,6665067:6666945,6665718:6666646,6665719:6666766,6668654:6669703,6668655:6669249,6668656:6669482,6668657:6669546,6670886:6671576,6671756:6676776,6673385:6674155,6673850:6674267,6674357:6674795,6678032:6678453,6680947:6681189,6682633:6683437,6683289:6683972,6699726:6700233,6700555:6704725,', 'assoc_mat': '6612572:metal:4209:6613097,6613636:metal:4209:6614121,6614890:metal:4209:6615521,6614891:metal:4209:6616026,6625827:metal:4209:6626451,6627447:metal:4209:6627868,6627801:metal:4209:6628403,6627802:metal:4209:6629277,6628455:metal:4209:6628835,6628735:metal:4209:6629153,6628736:metal:4209:6629208,6630577:metal:4209:6664549,6630578:metal:4209:6664701,6630579:metal:4209:6664633,6630580:metal:4209:6664935,6630581:metal:4209:6665224,6630822:metal:4209:6666081,6630823:metal:4209:6666046,6631154:metal:4209:6667992,6631384:metal:4209:6668663,6631385:metal:4209:6668912,6631618:metal:4209:6669773,6631619:metal:4209:6669806,6631901:metal:4209:6670109,6632901:metal:4209:6671159,6632902:metal:4209:6671466,6633542:metal:4209:6635433,6633543:metal:4209:6635307,6633545:metal:4209:6635359,6633546:metal:4209:6672296,6635651:metal:4209:6661087,6635653:metal:4209:6660892,6639123:metal:4209:6644427,6639124:metal:4209:6639705,6639695:metal:4209:6642552,6640066:metal:4209:6640666,6640928:metal:4209:6641594,6646682:metal:4209:664743'}, {'unwanted_material': 'metal', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.03426755560145856, 'nb_photo': 14, 'list_port_cont': '6861172,6863427,6863597,6865059,6876772,6881616,6889760,6902821,6920943', 'assoc_port': '6860533:6861172,6863219:6863597,6863221:6863427,6864849:6865059,6876690:6876772,6881493:6881616,6889188:6889760,6900676:6902821,6920015:6920943', 'assoc_mat': '6860533:metal:4209:6861172,6863219:metal:4209:6863597,6863221:metal:4209:6863427,6864849:metal:4209:6865059,6876690:metal:4209:6876772,6881493:metal:4209:6881616,6889188:metal:4209:6889760,6900676:metal:4209:6902821,6920015:metal:4209:6920943'}, {'unwanted_material': 'papier', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.0013353682339268438, 'nb_photo': 9, 'list_port_cont': '6625537,6880784', 'assoc_port': '6625304:6625537,6880715:6880784', 'assoc_mat': '6625304:papier:4205:6625537,6880715:papier:4205:6880784'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.030078019576209876, 'nb_photo': 6564, 'list_port_cont': '6860765,6860809,6860834,6860929,6860974,6861044,6861206,6861412,6861434,6861798,6861840,6861924,6862024,6862135,6862201,6862331,6862374,6862545,6862582,6862651,6862990,6863820,6864046,6866293,6866465,6866499,6866949,6867662,6867830,6867915,6868217,6868247,6868293,6868379,6868403,6868626,6868668,6868733,6868889,6868970,6869094,6869326,6869384,6869464,6869555,6876860,6876889,6876921,6876951,6877008,6877057,6877102,6877186,6877542,6877605,6877685,6877711,6877787,6877810,6877872,6877908,6877920,6877963,6878007,6878032,6881693,6884489,6886474,6886878,6887983,6888296,6889465,6891084,6891165,6891355,6894204,6894504,6895937,6896154,6897893,6898095,6898457,6898491,6900292,6900467,6904483,6904508,6905154,6905995,6906491,6907050,6908161,6908519,6908941,6909123,6914622,6915183,6915210,6915259,6916693,6917258,6917398,6920814,6922713,6925594', 'assoc_port': '6790886:6864046,6790887:6862545,6794193:6862135,6832752:6877920,6832753:6877872,6833565:6878032,6834821:6878007,6834822:6877963,6836050:6877787,6838973:6877685,6838974:6877605,6840554:6877711,6842390:6877810,6845438:6869384,6846972:6869555,6846973:6869464,6848417:6869326,6849526:6868889,6851003:6868668,6852117:6868733,6852533:6869094,6852534:6868970,6853215:6861412,6853569:6861434,6853919:6868626,6855642:6860809,6859123:6861840,6860530:6861206,6860531:6861044,6860532:6860974,6860535:6860929,6860537:6860834,6860538:6860765,6861512:6868217,6861514:6868293,6861516:6868247,6861517:6868379,6861519:6862582,6861520:6862651,6861522:6861798,6861523:6862331,6861524:6862201,6861525:6861924,6861635:6862374,6861636:6862024,6862501:6862990,6863220:6863820,6864848:6867915,6864850:6867830,6864851:6867662,6864853:6866949,6864855:6866499,6865738:6866293,6865739:6866465,6868332:6868403,6876683:6877186,6876684:6876921,6876685:6877008,6876686:6877057,6876687:6877102,6876688:6876889,6876689:6876951,6876691:6876860,6877478:6877908,', 'assoc_mat': '6790886:papier:4207:6864046,6790887:papier:4207:6862545,6794193:papier:4207:6862135,6832752:papier:4207:6877920,6832753:papier:4207:6877872,6833565:papier:4207:6878032,6834821:papier:4207:6878007,6834822:papier:4207:6877963,6836050:papier:4207:6877787,6838973:papier:4207:6877685,6838974:papier:4207:6877605,6840554:papier:4207:6877711,6842390:papier:4207:6877810,6845438:papier:4207:6869384,6846972:papier:4207:6869555,6846973:papier:4207:6869464,6848417:papier:4207:6869326,6849526:papier:4207:6868889,6851003:papier:4207:6868668,6852117:papier:4207:6868733,6852533:papier:4207:6869094,6852534:papier:4207:6868970,6853215:papier:4207:6861412,6853569:papier:4207:6861434,6853919:papier:4207:6868626,6855642:papier:4207:6860809,6859123:papier:4207:6861840,6860530:papier:4207:6861206,6860531:papier:4207:6861044,6860532:papier:4207:6860974,6860535:papier:4207:6860929,6860537:papier:4207:6860834,6860538:papier:4207:6860765,6861512:papier:4207:6868217,6861514:papier:4207:6868293,6861516:papier:4207:6868247,6861517:papier:4'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.9686131104416358, 'nb_photo': 148871, 'list_port_cont': '6613100,6614114,6614594,6615529,6616034,6626462,6627859,6628399,6628843,6629142,6629212,6629275,6635305,6635363,6635424,6639712,6640665,6641601,6642549,6644429,6646359,6647443,6648156,6648888,6654374,6655830,6657171,6658366,6659151,6659226,6660896,6661088,6664555,6664630,6664696,6664799,6664931,6665226,6666045,6666080,6666650,6666767,6666948,6667998,6668669,6668911,6669246,6669487,6669556,6669704,6669775,6669818,6670116,6671162,6671475,6671569,6671851,6672303,6674157,6674272,6674793,6676777,6678463,6681194,6683426,6683976,6700220,6702213,6704717,6706880,6708963,6709412,6709561,6710050,6710787,6711302,6712597,6716513,6718354,6718721,6718876,6719283,6719641,6719885,6720392,6720623,6722156,6722577,6722881,6723438,6723515,6744914,6745255,6746412,6748609,6748948,6749033,6758834,6760258,6760534,6761446,6762006,6762872,6774101,6774621,6775292,6776474,6776980,6813189,6834129,6834360,6834694,6835804,6836115,6837019,6839283,6839590,6841139,6842937,6846030,6847507,6847554,6849265,6850417,6851367,6852769,6853226,6853512,', 'assoc_port': '6612572:6613100,6613636:6614114,6614336:6614594,6614890:6615529,6614891:6616034,6625827:6626462,6627447:6627859,6627801:6628399,6627802:6629275,6628455:6628843,6628735:6629142,6628736:6629212,6630577:6664555,6630578:6664696,6630579:6664630,6630580:6664931,6630581:6665226,6630822:6666080,6630823:6666045,6631154:6667998,6631384:6668669,6631385:6668911,6631618:6669775,6631619:6669818,6631901:6670116,6632901:6671162,6632902:6671475,6633542:6635424,6633543:6635305,6633544:6671851,6633545:6635363,6633546:6672303,6635651:6661088,6635653:6660896,6639123:6644429,6639124:6639712,6639695:6642549,6640066:6640665,6640928:6641601,6645791:6646359,6646682:6647443,6647202:6648156,6648217:6648888,6652800:6654374,6655088:6655830,6656505:6657171,6656506:6658366,6657819:6659151,6659025:6659226,6663042:6664799,6665067:6666948,6665718:6666650,6665719:6666767,6668654:6669704,6668655:6669246,6668656:6669487,6668657:6669556,6670886:6671569,6671756:6676777,6673385:6674157,6673850:6674272,6674357:6674793,6678032:6678463,6680947:6681194,', 'assoc_mat': '6612572:papier:4209:6613100,6613636:papier:4209:6614114,6614336:papier:4209:6614594,6614890:papier:4209:6615529,6614891:papier:4209:6616034,6625827:papier:4209:6626462,6627447:papier:4209:6627859,6627801:papier:4209:6628399,6627802:papier:4209:6629275,6628455:papier:4209:6628843,6628735:papier:4209:6629142,6628736:papier:4209:6629212,6630577:papier:4209:6664555,6630578:papier:4209:6664696,6630579:papier:4209:6664630,6630580:papier:4209:6664931,6630581:papier:4209:6665226,6630822:papier:4209:6666080,6630823:papier:4209:6666045,6631154:papier:4209:6667998,6631384:papier:4209:6668669,6631385:papier:4209:6668911,6631618:papier:4209:6669775,6631619:papier:4209:6669818,6631901:papier:4209:6670116,6632901:papier:4209:6671162,6632902:papier:4209:6671475,6633542:papier:4209:6635424,6633543:papier:4209:6635305,6633544:papier:4209:6671851,6633545:papier:4209:6635363,6633546:papier:4209:6672303,6635651:papier:4209:6661088,6635653:papier:4209:6660896,6639123:papier:4209:6644429,6639124:papier:4209:6639712,6639695:papier:4'}, {'unwanted_material': 'papier', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.9902901831097267, 'nb_photo': 2955, 'list_port_cont': '6860598,6860874,6861066,6861173,6861345,6861539,6861959,6862604,6863422,6863593,6864917,6865058,6866086,6866174,6876761,6877571,6877655,6877751,6881620,6886395,6888025,6889756,6894811,6902822,6905423,6907081,6909151,6920947', 'assoc_port': '6860529:6861066,6860533:6861173,6860534:6860598,6860536:6860874,6861163:6861539,6861164:6861345,6861513:6861959,6861515:6862604,6863219:6863593,6863221:6863422,6864847:6866174,6864849:6865058,6864854:6864917,6865737:6866086,6876690:6876761,6877477:6877751,6877481:6877655,6877482:6877571,6881493:6881620,6886257:6886395,6887731:6888025,6889188:6889756,6894658:6894811,6899249:6909151,6900676:6902822,6903711:6907081,6905103:6905423,6920015:6920947', 'assoc_mat': '6860529:papier:4209:6861066,6860533:papier:4209:6861173,6860534:papier:4209:6860598,6860536:papier:4209:6860874,6861163:papier:4209:6861539,6861164:papier:4209:6861345,6861513:papier:4209:6861959,6861515:papier:4209:6862604,6863219:papier:4209:6863593,6863221:papier:4209:6863422,6864847:papier:4209:6866174,6864849:papier:4209:6865058,6864854:papier:4209:6864917,6865737:papier:4209:6866086,6876690:papier:4209:6876761,6877477:papier:4209:6877751,6877481:papier:4209:6877655,6877482:papier:4209:6877571,6881493:papier:4209:6881620,6886257:papier:4209:6886395,6887731:papier:4209:6888025,6889188:papier:4209:6889756,6894658:papier:4209:6894811,6899249:papier:4209:6909151,6900676:papier:4209:6902822,6903711:papier:4209:6907081,6905103:papier:4209:6905423,6920015:papier:4209:6920947'}, {'unwanted_material': 'papier', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.010245453120925422, 'nb_photo': 31, 'list_port_cont': '6647707,6861711', 'assoc_port': '6647200:6647707,6861521:6861711', 'assoc_mat': '6647200:papier:4200:6647707,6861521:papier:4200:6861711'}, {'unwanted_material': 'pehd', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 2.520265649788176e-05, 'nb_photo': 2, 'list_port_cont': '6678458', 'assoc_port': '6678032:6678458', 'assoc_mat': '6678032:pehd:4209:6678458'}, {'unwanted_material': 'pet_clair', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0009691335779369147, 'nb_photo': 50, 'list_port_cont': '6862208,6862361,6862535,6862580,6862650,6867917,6868229,6868248,6868281,6868376,6868672,6869102,6869324,6869466,6869550,6877011,6877046,6877191,6877677,6877777,6877812,6877923,6877993,6878035,6886875,6888290,6891353,6896153,6898498,6904509,6907044,6917257,6922719,6925591', 'assoc_port': '6790887:6862535,6832752:6877923,6833565:6878035,6834821:6877993,6836050:6877777,6838973:6877677,6842390:6877812,6846972:6869550,6846973:6869466,6848417:6869324,6851003:6868672,6852533:6869102,6861512:6868229,6861514:6868281,6861516:6868248,6861517:6868376,6861519:6862580,6861520:6862650,6861524:6862208,6861635:6862361,6864848:6867917,6876683:6877191,6876685:6877011,6876686:6877046,6886258:6886875,6887695:6888290,6889190:6891353,6895749:6896153,6898175:6898498,6904057:6904509,6906036:6907044,6917033:6917257,6921897:6922719,6925484:6925591', 'assoc_mat': '6790887:pet_clair:4207:6862535,6832752:pet_clair:4207:6877923,6833565:pet_clair:4207:6878035,6834821:pet_clair:4207:6877993,6836050:pet_clair:4207:6877777,6838973:pet_clair:4207:6877677,6842390:pet_clair:4207:6877812,6846972:pet_clair:4207:6869550,6846973:pet_clair:4207:6869466,6848417:pet_clair:4207:6869324,6851003:pet_clair:4207:6868672,6852533:pet_clair:4207:6869102,6861512:pet_clair:4207:6868229,6861514:pet_clair:4207:6868281,6861516:pet_clair:4207:6868248,6861517:pet_clair:4207:6868376,6861519:pet_clair:4207:6862580,6861520:pet_clair:4207:6862650,6861524:pet_clair:4207:6862208,6861635:pet_clair:4207:6862361,6864848:pet_clair:4207:6867917,6876683:pet_clair:4207:6877191,6876685:pet_clair:4207:6877011,6876686:pet_clair:4207:6877046,6886258:pet_clair:4207:6886875,6887695:pet_clair:4207:6888290,6889190:pet_clair:4207:6891353,6895749:pet_clair:4207:6896153,6898175:pet_clair:4207:6898498,6904057:pet_clair:4207:6904509,6906036:pet_clair:4207:6907044,6917033:pet_clair:4207:6917257,6921897:pet_clair:4207:6922719,6'}, {'unwanted_material': 'pet_clair', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.00038788845724592604, 'nb_photo': 52, 'list_port_cont': '6613103,6648162,6655833,6657176,6658378,6660889,6666083,6666651,6666947,6668915,6669550,6669705,6669777,6671157,6700228,6704711,6706879,6709548,6712610,6720621,6722887,6723439,6744920,6748621,6748942,6761453,6774102,6776478,6837016,6841130,6846026,6853934', 'assoc_port': '6612572:6613103,6630822:6666083,6631385:6668915,6631618:6669777,6632901:6671157,6635653:6660889,6647202:6648162,6655088:6655833,6656505:6657176,6656506:6658378,6665067:6666947,6665718:6666651,6668654:6669705,6668657:6669550,6699726:6700228,6700555:6704711,6706262:6706879,6707499:6709548,6708643:6712610,6720202:6720621,6722573:6722887,6723094:6723439,6744086:6744920,6747584:6748621,6748313:6748942,6761126:6761453,6773386:6774102,6776077:6776478,6836050:6837016,6840554:6841130,6845438:6846026,6852534:6853934', 'assoc_mat': '6612572:pet_clair:4209:6613103,6630822:pet_clair:4209:6666083,6631385:pet_clair:4209:6668915,6631618:pet_clair:4209:6669777,6632901:pet_clair:4209:6671157,6635653:pet_clair:4209:6660889,6647202:pet_clair:4209:6648162,6655088:pet_clair:4209:6655833,6656505:pet_clair:4209:6657176,6656506:pet_clair:4209:6658378,6665067:pet_clair:4209:6666947,6665718:pet_clair:4209:6666651,6668654:pet_clair:4209:6669705,6668657:pet_clair:4209:6669550,6699726:pet_clair:4209:6700228,6700555:pet_clair:4209:6704711,6706262:pet_clair:4209:6706879,6707499:pet_clair:4209:6709548,6708643:pet_clair:4209:6712610,6720202:pet_clair:4209:6720621,6722573:pet_clair:4209:6722887,6723094:pet_clair:4209:6723439,6744086:pet_clair:4209:6744920,6747584:pet_clair:4209:6748621,6748313:pet_clair:4209:6748942,6761126:pet_clair:4209:6761453,6773386:pet_clair:4209:6774102,6776077:pet_clair:4209:6776478,6836050:pet_clair:4209:6837016,6840554:pet_clair:4209:6841130,6845438:pet_clair:4209:6846026,6852534:pet_clair:4209:6853934'}, {'unwanted_material': 'pet_clair', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.00042088720046359597, 'nb_photo': 1, 'list_port_cont': '6862605', 'assoc_port': '6861515:6862605', 'assoc_mat': '6861515:pet_clair:4209:6862605'}, {'unwanted_material': 'pet_fonce', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0008578698895049885, 'nb_photo': 28, 'list_port_cont': '6860798,6861839,6862207,6868256,6868671,6869549,6877674,6877708,6877816,6877879,6878008,6886869,6888301,6889467,6898496,6904520,6915175,6922716', 'assoc_port': '6832753:6877879,6834821:6878008,6838973:6877674,6840554:6877708,6842390:6877816,6846972:6869549,6851003:6868671,6855642:6860798,6859123:6861839,6861516:6868256,6861524:6862207,6886258:6886869,6887695:6888301,6887698:6889467,6898175:6898496,6904057:6904520,6914259:6915175,6921897:6922716', 'assoc_mat': '6832753:pet_fonce:4207:6877879,6834821:pet_fonce:4207:6878008,6838973:pet_fonce:4207:6877674,6840554:pet_fonce:4207:6877708,6842390:pet_fonce:4207:6877816,6846972:pet_fonce:4207:6869549,6851003:pet_fonce:4207:6868671,6855642:pet_fonce:4207:6860798,6859123:pet_fonce:4207:6861839,6861516:pet_fonce:4207:6868256,6861524:pet_fonce:4207:6862207,6886258:pet_fonce:4207:6886869,6887695:pet_fonce:4207:6888301,6887698:pet_fonce:4207:6889467,6898175:pet_fonce:4207:6898496,6904057:pet_fonce:4207:6904520,6914259:pet_fonce:4207:6915175,6921897:pet_fonce:4207:6922716'}, {'unwanted_material': 'pet_fonce', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.002001176734086916, 'nb_photo': 165, 'list_port_cont': '6613106,6614596,6626457,6628830,6629210,6635370,6641607,6642548,6644426,6646347,6647448,6648893,6654377,6659140,6659225,6660883,6661079,6664546,6664700,6665227,6666079,6666644,6666756,6666950,6668662,6669252,6669485,6669785,6671575,6674270,6678461,6683425,6683978,6702227,6704714,6706892,6708972,6709423,6709577,6711293,6712608,6718881,6719276,6719647,6720634,6722892,6723506,6744910,6748597,6762003,6774109,6776983,6841135,6842934,6847565,6859391', 'assoc_port': '6612572:6613106,6614336:6614596,6625827:6626457,6628455:6628830,6628736:6629210,6630577:6664546,6630578:6664700,6630581:6665227,6630822:6666079,6631384:6668662,6631618:6669785,6633545:6635370,6635651:6661079,6635653:6660883,6639123:6644426,6639695:6642548,6640928:6641607,6645791:6646347,6646682:6647448,6648217:6648893,6652800:6654377,6657819:6659140,6659025:6659225,6665067:6666950,6665718:6666644,6665719:6666756,6668655:6669252,6668656:6669485,6670886:6671575,6673850:6674270,6678032:6678461,6682633:6683425,6683289:6683978,6700555:6704714,6701501:6702227,6706262:6706892,6706760:6709423,6707163:6708972,6707499:6709577,6708643:6712608,6708644:6711293,6718520:6719276,6718521:6718881,6719441:6719647,6720202:6720634,6722573:6722892,6723192:6723506,6744086:6744910,6747584:6748597,6759349:6762003,6773386:6774109,6775574:6776983,6840554:6841135,6842390:6842934,6846972:6847565,6859123:6859391', 'assoc_mat': '6612572:pet_fonce:4209:6613106,6614336:pet_fonce:4209:6614596,6625827:pet_fonce:4209:6626457,6628455:pet_fonce:4209:6628830,6628736:pet_fonce:4209:6629210,6630577:pet_fonce:4209:6664546,6630578:pet_fonce:4209:6664700,6630581:pet_fonce:4209:6665227,6630822:pet_fonce:4209:6666079,6631384:pet_fonce:4209:6668662,6631618:pet_fonce:4209:6669785,6633545:pet_fonce:4209:6635370,6635651:pet_fonce:4209:6661079,6635653:pet_fonce:4209:6660883,6639123:pet_fonce:4209:6644426,6639695:pet_fonce:4209:6642548,6640928:pet_fonce:4209:6641607,6645791:pet_fonce:4209:6646347,6646682:pet_fonce:4209:6647448,6648217:pet_fonce:4209:6648893,6652800:pet_fonce:4209:6654377,6657819:pet_fonce:4209:6659140,6659025:pet_fonce:4209:6659225,6665067:pet_fonce:4209:6666950,6665718:pet_fonce:4209:6666644,6665719:pet_fonce:4209:6666756,6668655:pet_fonce:4209:6669252,6668656:pet_fonce:4209:6669485,6670886:pet_fonce:4209:6671575,6673850:pet_fonce:4209:6674270,6678032:pet_fonce:4209:6678461,6682633:pet_fonce:4209:6683425,6683289:pet_fonce:4209:6683978,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0009882492230258019, 'nb_photo': 2, 'list_port_cont': '6894805', 'assoc_port': '6894658:6894805', 'assoc_mat': '6894658:pet_fonce:4209:6894805'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9832720072705387, 'nb_photo': 21, 'list_port_cont': '6647700,6861697', 'assoc_port': '6647200:6647700,6861521:6861697', 'assoc_mat': '6647200:pet_fonce:4200:6647700,6861521:pet_fonce:4200:6861697'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0006428090611349251, 'nb_photo': 9, 'list_port_cont': '6866496,6868369,6869096,6869546,6878036,6904487,6905142,6905991,6922715', 'assoc_port': '6833565:6878036,6846972:6869546,6852533:6869096,6861517:6868369,6864855:6866496,6903710:6905991,6903712:6904487,6905102:6905142,6921897:6922715', 'assoc_mat': '6833565:pet_opaque:4207:6878036,6846972:pet_opaque:4207:6869546,6852533:pet_opaque:4207:6869096,6861517:pet_opaque:4207:6868369,6864855:pet_opaque:4207:6866496,6903710:pet_opaque:4207:6905991,6903712:pet_opaque:4207:6904487,6905102:pet_opaque:4207:6905142,6921897:pet_opaque:4207:6922715'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005744915736568625, 'nb_photo': 214, 'list_port_cont': '6613105,6614118,6616031,6627858,6628408,6628839,6629216,6629282,6635308,6635367,6639706,6640660,6641595,6644422,6647441,6655823,6657172,6658373,6659149,6660897,6661077,6664543,6664634,6664804,6664940,6665229,6666078,6666656,6666757,6666952,6667994,6668664,6668914,6669254,6669547,6669695,6669784,6669814,6670110,6671566,6671848,6672292,6674152,6676774,6678456,6681180,6683428,6683979,6700223,6704719,6706884,6709575,6711305,6712607,6718352,6718715,6719280,6719890,6720396,6722151,6722589,6722891,6723435,6744915,6748617,6748952,6749035,6760254,6761440,6774110,6776978,6813183,6834135,6834365,6834702,6835809,6839582,6841141,6842938,6853225,6853523,6859402', 'assoc_port': '6612572:6613105,6613636:6614118,6614891:6616031,6627447:6627858,6627801:6628408,6627802:6629282,6628455:6628839,6628736:6629216,6630577:6664543,6630579:6664634,6630580:6664940,6630581:6665229,6630822:6666078,6631154:6667994,6631384:6668664,6631385:6668914,6631618:6669784,6631619:6669814,6631901:6670110,6633543:6635308,6633544:6671848,6633545:6635367,6633546:6672292,6635651:6661077,6635653:6660897,6639123:6644422,6639124:6639706,6640066:6640660,6640928:6641595,6646682:6647441,6655088:6655823,6656505:6657172,6656506:6658373,6657819:6659149,6663042:6664804,6665067:6666952,6665718:6666656,6665719:6666757,6668654:6669695,6668655:6669254,6668657:6669547,6670886:6671566,6671756:6676774,6673385:6674152,6678032:6678456,6680947:6681180,6682633:6683428,6683289:6683979,6699726:6700223,6700555:6704719,6706262:6706884,6707499:6709575,6708643:6712607,6708644:6711305,6715973:6718352,6716500:6718715,6717201:6719890,6718520:6719280,6719951:6720396,6721826:6722589,6721827:6722151,6722573:6722891,6723094:6723435,6744086:6744915,', 'assoc_mat': '6612572:pet_opaque:4209:6613105,6613636:pet_opaque:4209:6614118,6614891:pet_opaque:4209:6616031,6627447:pet_opaque:4209:6627858,6627801:pet_opaque:4209:6628408,6627802:pet_opaque:4209:6629282,6628455:pet_opaque:4209:6628839,6628736:pet_opaque:4209:6629216,6630577:pet_opaque:4209:6664543,6630579:pet_opaque:4209:6664634,6630580:pet_opaque:4209:6664940,6630581:pet_opaque:4209:6665229,6630822:pet_opaque:4209:6666078,6631154:pet_opaque:4209:6667994,6631384:pet_opaque:4209:6668664,6631385:pet_opaque:4209:6668914,6631618:pet_opaque:4209:6669784,6631619:pet_opaque:4209:6669814,6631901:pet_opaque:4209:6670110,6633543:pet_opaque:4209:6635308,6633544:pet_opaque:4209:6671848,6633545:pet_opaque:4209:6635367,6633546:pet_opaque:4209:6672292,6635651:pet_opaque:4209:6661077,6635653:pet_opaque:4209:6660897,6639123:pet_opaque:4209:6644422,6639124:pet_opaque:4209:6639706,6640066:pet_opaque:4209:6640660,6640928:pet_opaque:4209:6641595,6646682:pet_opaque:4209:6647441,6655088:pet_opaque:4209:6655823,6656505:pet_opaque:4209:6657172,'}), 'main_stat': {'nb_photos': 8000}}, 'hostname': (('jetson-2',),), 'impurety_average_per_hashtag': [(('emr', '2022-08', 0.03139712425437559),), (('jrm', '2022-08', 0.00838254816722681),), (('aluminium', '2022-08', 0.006832126052700646),), (('pet_fonce', '2022-08', 0.012910461966287217),), (('gm', '2022-08', 0.009116560536537937),)]}
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
{'number_of_analysed_photos': ((8000,),), 'unwanted_material_monthly_percentage': ((0.02991916097445073,),), 'material_repartition': (('emr', 5015), ('gm', 135), ('aluminium', 89), ('jrm', 45), ('pet_fonce', 28)), 'material_dict': {'emr': 5015, 'autres': 297}, 'coverage_data': (('2022/08/31/', 0.645567), ('2022/08/30/', 1.0), ('2022/08/29/', 1.0), ('2022/08/27/', 0.463906), ('2022/08/26/', 1.0), ('2022/08/25/', 0.812121), ('2022/08/24/', 1.0), ('2022/08/23/', 1.0), ('2022/08/22/', 0.486486), ('2022/08/20/', 0.473359), ('2022/08/19/', 0.441242), ('2022/08/18/', 0.836601), ('2022/08/17/', 0.898649), ('2022/08/16/', 0.581668), ('2022/08/15/', 0.604208), ('2022/08/13/', 0.905738), ('2022/08/12/', 1.0), ('2022/08/11/', 0.555556), ('2022/08/10/', 1.0), ('2022/08/09/', 1.0), ('2022/08/08/', 1.0), ('2022/08/06/', 0.45925), ('2022/08/05/', 1.0), ('2022/08/04/', 0.511261), ('2022/08/03/', 0.850806), ('2022/08/02/', 0.714286), ('2022/08/01/', 0.615778)), 'impurety_average_data': ((datetime.date(2022, 8, 2), 0.014282331762157728, 103), (datetime.date(2022, 8, 3), 0.03494206677880239, 211), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.04557840319999026, 54), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.02268268592206632, 320), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.029592761588569258, 277), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.02985658365132344, 351), (datetime.date(2022, 8, 24), 0.02890717923269598, 369), (datetime.date(2022, 8, 25), 0.02964405365672207, 385), (datetime.date(2022, 8, 26), 0.027188360813364603, 209), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.023942954543620824, 233), (datetime.date(2022, 8, 30), 0.03176500481166622, 362), (datetime.date(2022, 8, 31), 0.024400799858355637, 340)), 'impurety_average_data_per_hashtag': {'emr': ((datetime.date(2022, 8, 2), 0.014497225753743103, 90), (datetime.date(2022, 8, 3), 0.035407726190541, 201), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.051389769677544335, 43), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.022808792662868328, 304), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.03144342737311807, 238), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.030080632780942033, 330), (datetime.date(2022, 8, 24), 0.029230789634089597, 345), (datetime.date(2022, 8, 25), 0.029901630015503007, 357), (datetime.date(2022, 8, 26), 0.028097448563616227, 175), (datetime.date(2022, 8, 29), 0.03005524006484819, 165), (datetime.date(2022, 8, 30), 0.03263495327830263, 307), (datetime.date(2022, 8, 31), 0.02525588399363416, 301)), 'jrm': ((datetime.date(2022, 8, 2), 0.012085072487249132, 13), (datetime.date(2022, 8, 19), 0.010114825333022708, 10), (datetime.date(2022, 8, 23), 0.024498907798673017, 5), (datetime.date(2022, 8, 26), 0.0052974707656706635, 12), (datetime.date(2022, 8, 29), 0.0180872193641313, 5), (datetime.date(2022, 8, 30), 0.012309361035885383, 18), (datetime.date(2022, 8, 31), 0.0, 30)), 'aluminium': ((datetime.date(2022, 8, 3), 0.0029466085982426723, 10), (datetime.date(2022, 8, 6), 0.0, 11), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.0027249051959917212, 35), (datetime.date(2022, 8, 30), 0.0, 5)), 'pet_fonce': ((datetime.date(2022, 8, 9), 0.01691330253037371, 16), (datetime.date(2022, 8, 19), 0.01514668242834379, 6), (datetime.date(2022, 8, 29), 0.0, 6)), 'gm': ((datetime.date(2022, 8, 19), 0.0036688743500458555, 23), (datetime.date(2022, 8, 23), 2.7541150063779214e-07, 16), (datetime.date(2022, 8, 24), 0.009998135847154843, 24), (datetime.date(2022, 8, 25), 0.007110951820118182, 28), (datetime.date(2022, 8, 26), 0.0026635914561474365, 22), (datetime.date(2022, 8, 29), 0.005845156606103965, 22), (datetime.date(2022, 8, 30), 0.01774597693816732, 32), (datetime.date(2022, 8, 31), 0.04037847154938461, 9))}, 'quality_array': [['7.002742885641196', '01082022'], ['7.276538764582762', '02082022'], ['7.489191991610414', '03082022'], ['7.1515808570282635', '04082022'], ['7.481548146738859', '05082022'], ['7.304119764213931', '06082022'], ['7.180322525692267', '08082022'], ['6.878113539107664', '09082022'], ['7.100998473868195', '10082022'], ['7.303181417036363', '11082022'], ['6.929539513848952', '12082022'], ['6.949887273916412', '13082022'], ['6.952864344290567', '15082022'], ['6.946439599449299', '16082022'], ['8.200164971876198', '17082022'], ['7.414826551741067', '18082022'], ['7.567049552876916', '19082022'], ['8.275572615180698', '22082022'], ['8.683058890962057', '23082022'], ['9.447587725285345', '24082022'], ['9.907266828738836', '25082022'], ['9.398694081509628', '26082022'], ['3.699836545530341', '28082022'], ['9.278913980706943', '29082022'], ['9.808918378829057', '30082022'], ['12.679394134058633', '31082022']], 'number_of_batch': ((325,),), 'datou_id_sts': 3981, 'map_hashtag_number_mat': {'hash_to_mat_nb': ({'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001728785023265608, 'nb_photo': 18, 'list_port_cont': '6861407,6862123,6862547,6867908,6868674,6869389,6869558,6877707,6877972,6881690,6891352,6894202,6907047,6922714,6925593', 'assoc_port': '6790887:6862547,6794193:6862123,6834822:6877972,6840554:6877707,6845438:6869389,6846972:6869558,6851003:6868674,6853215:6861407,6864848:6867908,6881492:6881690,6889190:6891352,6894094:6894202,6906036:6907047,6921897:6922714,6925484:6925593', 'assoc_mat': '6790887:barquette_opaque:4207:6862547,6794193:barquette_opaque:4207:6862123,6834822:barquette_opaque:4207:6877972,6840554:barquette_opaque:4207:6877707,6845438:barquette_opaque:4207:6869389,6846972:barquette_opaque:4207:6869558,6851003:barquette_opaque:4207:6868674,6853215:barquette_opaque:4207:6861407,6864848:barquette_opaque:4207:6867908,6881492:barquette_opaque:4207:6881690,6889190:barquette_opaque:4207:6891352,6894094:barquette_opaque:4207:6894202,6906036:barquette_opaque:4207:6907047,6921897:barquette_opaque:4207:6922714,6925484:barquette_opaque:4207:6925593'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 8.469862336652651e-05, 'nb_photo': 44, 'list_port_cont': '6626450,6627857,6628405,6628829,6644425,6664932,6665236,6666075,6666652,6669243,6669771,6706891,6712605,6719637,6720391,6720629,6722154,6744912,6762879,6775287,6835808,6841133,6842925,6846016,6852775,6853230', 'assoc_port': '6625827:6626450,6627447:6627857,6627801:6628405,6628455:6628829,6630580:6664932,6630581:6665236,6630822:6666075,6631618:6669771,6639123:6644425,6665718:6666652,6668655:6669243,6706262:6706891,6708643:6712605,6719441:6719637,6719951:6720391,6720202:6720629,6721827:6722154,6744086:6744912,6762224:6762879,6774283:6775287,6834821:6835808,6840554:6841133,6842390:6842925,6845438:6846016,6852117:6852775,6852533:6853230', 'assoc_mat': '6625827:barquette_opaque:4209:6626450,6627447:barquette_opaque:4209:6627857,6627801:barquette_opaque:4209:6628405,6628455:barquette_opaque:4209:6628829,6630580:barquette_opaque:4209:6664932,6630581:barquette_opaque:4209:6665236,6630822:barquette_opaque:4209:6666075,6631618:barquette_opaque:4209:6669771,6639123:barquette_opaque:4209:6644425,6665718:barquette_opaque:4209:6666652,6668655:barquette_opaque:4209:6669243,6706262:barquette_opaque:4209:6706891,6708643:barquette_opaque:4209:6712605,6719441:barquette_opaque:4209:6719637,6719951:barquette_opaque:4209:6720391,6720202:barquette_opaque:4209:6720629,6721827:barquette_opaque:4209:6722154,6744086:barquette_opaque:4209:6744912,6762224:barquette_opaque:4209:6762879,6774283:barquette_opaque:4209:6775287,6834821:barquette_opaque:4209:6835808,6840554:barquette_opaque:4209:6841133,6842390:barquette_opaque:4209:6842925,6845438:barquette_opaque:4209:6846016,6852117:barquette_opaque:4209:6852775,6852533:barquette_opaque:4209:6853230'}, {'unwanted_material': 'carton', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.01022994561299725, 'nb_photo': 16, 'list_port_cont': '6625532,6880743,6880786', 'assoc_port': '6625304:6625532,6880715:6880786,6880716:6880743', 'assoc_mat': '6625304:carton:4205:6625532,6880715:carton:4205:6880786,6880716:carton:4205:6880743'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.9683717828305286, 'nb_photo': 2565, 'list_port_cont': '6860769,6860801,6860841,6860928,6860987,6861035,6861210,6861405,6861437,6861808,6861831,6861929,6862023,6862130,6862206,6862328,6862365,6862540,6862581,6862649,6862984,6863819,6864050,6866304,6866467,6866495,6866955,6867660,6867837,6867907,6868220,6868254,6868280,6868378,6868398,6868623,6868676,6868731,6868887,6868963,6869104,6869323,6869395,6869455,6869560,6876859,6876893,6876912,6876948,6877006,6877054,6877103,6877189,6877551,6877616,6877676,6877710,6877780,6877820,6877867,6877909,6877915,6877971,6877996,6878027,6881699,6884486,6886468,6886876,6887990,6888294,6889466,6891082,6891177,6891354,6894196,6894492,6895946,6896156,6897897,6898092,6898471,6898488,6900295,6900456,6904480,6904513,6905153,6905998,6906484,6907056,6908162,6908516,6908935,6909121,6914618,6915177,6915209,6915268,6916694,6917250,6917397,6920809,6922717,6925589', 'assoc_port': '6790886:6864050,6790887:6862540,6794193:6862130,6832752:6877915,6832753:6877867,6833565:6878027,6834821:6877996,6834822:6877971,6836050:6877780,6838973:6877676,6838974:6877616,6840554:6877710,6842390:6877820,6845438:6869395,6846972:6869560,6846973:6869455,6848417:6869323,6849526:6868887,6851003:6868676,6852117:6868731,6852533:6869104,6852534:6868963,6853215:6861405,6853569:6861437,6853919:6868623,6855642:6860801,6859123:6861831,6860530:6861210,6860531:6861035,6860532:6860987,6860535:6860928,6860537:6860841,6860538:6860769,6861512:6868220,6861514:6868280,6861516:6868254,6861517:6868378,6861519:6862581,6861520:6862649,6861522:6861808,6861523:6862328,6861524:6862206,6861525:6861929,6861635:6862365,6861636:6862023,6862501:6862984,6863220:6863819,6864848:6867907,6864850:6867837,6864851:6867660,6864853:6866955,6864855:6866495,6865738:6866304,6865739:6866467,6868332:6868398,6876683:6877189,6876684:6876912,6876685:6877006,6876686:6877054,6876687:6877103,6876688:6876893,6876689:6876948,6876691:6876859,6877478:6877909,', 'assoc_mat': '6790886:carton:4207:6864050,6790887:carton:4207:6862540,6794193:carton:4207:6862130,6832752:carton:4207:6877915,6832753:carton:4207:6877867,6833565:carton:4207:6878027,6834821:carton:4207:6877996,6834822:carton:4207:6877971,6836050:carton:4207:6877780,6838973:carton:4207:6877676,6838974:carton:4207:6877616,6840554:carton:4207:6877710,6842390:carton:4207:6877820,6845438:carton:4207:6869395,6846972:carton:4207:6869560,6846973:carton:4207:6869455,6848417:carton:4207:6869323,6849526:carton:4207:6868887,6851003:carton:4207:6868676,6852117:carton:4207:6868731,6852533:carton:4207:6869104,6852534:carton:4207:6868963,6853215:carton:4207:6861405,6853569:carton:4207:6861437,6853919:carton:4207:6868623,6855642:carton:4207:6860801,6859123:carton:4207:6861831,6860530:carton:4207:6861210,6860531:carton:4207:6861035,6860532:carton:4207:6860987,6860535:carton:4207:6860928,6860537:carton:4207:6860841,6860538:carton:4207:6860769,6861512:carton:4207:6868220,6861514:carton:4207:6868280,6861516:carton:4207:6868254,6861517:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007834080277437061, 'nb_photo': 1462, 'list_port_cont': '6613099,6614127,6614585,6615525,6616029,6626453,6627860,6628395,6628840,6629152,6629205,6629281,6635304,6635369,6635432,6639702,6640661,6641608,6642551,6644436,6646356,6647438,6648160,6648884,6654375,6655819,6657180,6658370,6659145,6659232,6660891,6661075,6664557,6664640,6664706,6664802,6664929,6665234,6666043,6666077,6666648,6666765,6666944,6668004,6668673,6668922,6669250,6669483,6669559,6669701,6669786,6669812,6670114,6671149,6671463,6671574,6671847,6672297,6674151,6674264,6674794,6676772,6678452,6681186,6683438,6683967,6700222,6702222,6704712,6706887,6708974,6709414,6709569,6710040,6710776,6711299,6712611,6716502,6718348,6718717,6718883,6719281,6719649,6719891,6720389,6720622,6722163,6722585,6722885,6723449,6723510,6744917,6745245,6746407,6748615,6748946,6749029,6758826,6760253,6760547,6761445,6761998,6762877,6774108,6774613,6775298,6776475,6776981,6813192,6834126,6834362,6834696,6835803,6836102,6837017,6839291,6839592,6841138,6842928,6846019,6847495,6847556,6849259,6850419,6851368,6852770,6853216,6853519,', 'assoc_port': '6612572:6613099,6613636:6614127,6614336:6614585,6614890:6615525,6614891:6616029,6625827:6626453,6627447:6627860,6627801:6628395,6627802:6629281,6628455:6628840,6628735:6629152,6628736:6629205,6630577:6664557,6630578:6664706,6630579:6664640,6630580:6664929,6630581:6665234,6630822:6666077,6630823:6666043,6631154:6668004,6631384:6668673,6631385:6668922,6631618:6669786,6631619:6669812,6631901:6670114,6632901:6671149,6632902:6671463,6633542:6635432,6633543:6635304,6633544:6671847,6633545:6635369,6633546:6672297,6635651:6661075,6635653:6660891,6639123:6644436,6639124:6639702,6639695:6642551,6640066:6640661,6640928:6641608,6645791:6646356,6646682:6647438,6647202:6648160,6648217:6648884,6652800:6654375,6655088:6655819,6656505:6657180,6656506:6658370,6657819:6659145,6659025:6659232,6663042:6664802,6665067:6666944,6665718:6666648,6665719:6666765,6668654:6669701,6668655:6669250,6668656:6669483,6668657:6669559,6670886:6671574,6671756:6676772,6673385:6674151,6673850:6674264,6674357:6674794,6678032:6678452,6680947:6681186,', 'assoc_mat': '6612572:carton:4209:6613099,6613636:carton:4209:6614127,6614336:carton:4209:6614585,6614890:carton:4209:6615525,6614891:carton:4209:6616029,6625827:carton:4209:6626453,6627447:carton:4209:6627860,6627801:carton:4209:6628395,6627802:carton:4209:6629281,6628455:carton:4209:6628840,6628735:carton:4209:6629152,6628736:carton:4209:6629205,6630577:carton:4209:6664557,6630578:carton:4209:6664706,6630579:carton:4209:6664640,6630580:carton:4209:6664929,6630581:carton:4209:6665234,6630822:carton:4209:6666077,6630823:carton:4209:6666043,6631154:carton:4209:6668004,6631384:carton:4209:6668673,6631385:carton:4209:6668922,6631618:carton:4209:6669786,6631619:carton:4209:6669812,6631901:carton:4209:6670114,6632901:carton:4209:6671149,6632902:carton:4209:6671463,6633542:carton:4209:6635432,6633543:carton:4209:6635304,6633544:carton:4209:6671847,6633545:carton:4209:6635369,6633546:carton:4209:6672297,6635651:carton:4209:6661075,6635653:carton:4209:6660891,6639123:carton:4209:6644436,6639124:carton:4209:6639702,6639695:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0029313403454804565, 'nb_photo': 10, 'list_port_cont': '6861174,6862613,6886392,6902824,6905431,6920955', 'assoc_port': '6860533:6861174,6861515:6862613,6886257:6886392,6900676:6902824,6905103:6905431,6920015:6920955', 'assoc_mat': '6860533:carton:4209:6861174,6861515:carton:4209:6862613,6886257:carton:4209:6886392,6900676:carton:4209:6902824,6905103:carton:4209:6905431,6920015:carton:4209:6920955'}, {'unwanted_material': 'carton', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.005861756255830517, 'nb_photo': 4, 'list_port_cont': '6647696', 'assoc_port': '6647200:6647696', 'assoc_mat': '6647200:carton:4200:6647696'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001359155180754883, 'nb_photo': 1, 'list_port_cont': '6877603', 'assoc_port': '6838974:6877603', 'assoc_mat': '6838974:ela:4207:6877603'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 5.6302219709875656e-05, 'nb_photo': 3, 'list_port_cont': '6635371,6644435,6657178', 'assoc_port': '6633545:6635371,6639123:6644435,6656505:6657178', 'assoc_mat': '6633545:ela:4209:6635371,6639123:ela:4209:6644435,6656505:ela:4209:6657178'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0004908205603477037, 'nb_photo': 82, 'list_port_cont': '6860802,6860985,6861441,6861842,6861919,6862212,6862342,6862370,6862544,6862643,6868221,6868633,6868729,6869099,6869322,6869388,6869458,6876887,6877052,6877109,6877190,6877547,6877688,6877715,6877814,6877918,6877964,6877998,6878028,6886871,6891088,6891171,6896147,6900293,6900464,6904479,6907053,6908947,6909124,6915211,6915265,6916685,6917252,6920804,6922718', 'assoc_port': '6790887:6862544,6832752:6877918,6833565:6878028,6834821:6877998,6834822:6877964,6838973:6877688,6840554:6877715,6842390:6877814,6845438:6869388,6846973:6869458,6848417:6869322,6852117:6868729,6852533:6869099,6853569:6861441,6853919:6868633,6855642:6860802,6859123:6861842,6860532:6860985,6861512:6868221,6861520:6862643,6861523:6862342,6861524:6862212,6861525:6861919,6861635:6862370,6876683:6877190,6876686:6877052,6876687:6877109,6876688:6876887,6877480:6877547,6886258:6886871,6889185:6891088,6891024:6891171,6895749:6896147,6899246:6900464,6899248:6900293,6900677:6909124,6900678:6908947,6903712:6904479,6906036:6907053,6914258:6915211,6914260:6916685,6914751:6915265,6917033:6917252,6920014:6920804,6921897:6922718', 'assoc_mat': '6790887:etiquette:4207:6862544,6832752:etiquette:4207:6877918,6833565:etiquette:4207:6878028,6834821:etiquette:4207:6877998,6834822:etiquette:4207:6877964,6838973:etiquette:4207:6877688,6840554:etiquette:4207:6877715,6842390:etiquette:4207:6877814,6845438:etiquette:4207:6869388,6846973:etiquette:4207:6869458,6848417:etiquette:4207:6869322,6852117:etiquette:4207:6868729,6852533:etiquette:4207:6869099,6853569:etiquette:4207:6861441,6853919:etiquette:4207:6868633,6855642:etiquette:4207:6860802,6859123:etiquette:4207:6861842,6860532:etiquette:4207:6860985,6861512:etiquette:4207:6868221,6861520:etiquette:4207:6862643,6861523:etiquette:4207:6862342,6861524:etiquette:4207:6862212,6861525:etiquette:4207:6861919,6861635:etiquette:4207:6862370,6876683:etiquette:4207:6877190,6876686:etiquette:4207:6877052,6876687:etiquette:4207:6877109,6876688:etiquette:4207:6876887,6877480:etiquette:4207:6877547,6886258:etiquette:4207:6886871,6889185:etiquette:4207:6891088,6891024:etiquette:4207:6891171,6895749:etiquette:4207:6896147,6'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0008238173967106119, 'nb_photo': 1049, 'list_port_cont': '6613101,6614126,6614587,6616038,6626458,6627864,6628397,6628838,6629141,6629204,6629280,6635302,6635366,6635430,6640667,6641598,6642545,6644428,6646362,6647450,6648167,6648890,6654367,6655834,6657182,6658372,6659142,6659220,6660894,6661081,6664553,6664638,6664707,6664807,6664938,6665231,6666055,6666086,6666643,6666770,6666946,6668001,6668670,6668913,6669257,6669490,6669555,6669702,6669778,6669808,6670117,6671148,6671464,6671561,6671836,6672301,6674153,6674271,6674799,6676771,6678460,6681184,6683436,6683981,6700231,6702226,6704721,6706890,6708962,6709416,6709579,6710035,6710785,6711300,6712603,6716517,6718720,6718877,6719278,6719639,6719881,6720398,6720627,6722161,6722583,6722896,6723446,6723519,6744916,6745258,6746410,6748605,6748955,6749037,6760261,6760532,6761442,6762007,6774112,6774618,6775290,6776483,6776974,6813185,6834132,6834363,6834703,6835800,6836101,6837027,6839290,6839587,6841136,6842924,6846017,6847494,6847557,6849269,6850421,6852780,6853222,6853521,6853980,6854357,6855828,6859399', 'assoc_port': '6612572:6613101,6613636:6614126,6614336:6614587,6614891:6616038,6625827:6626458,6627447:6627864,6627801:6628397,6627802:6629280,6628455:6628838,6628735:6629141,6628736:6629204,6630577:6664553,6630578:6664707,6630579:6664638,6630580:6664938,6630581:6665231,6630822:6666086,6630823:6666055,6631154:6668001,6631384:6668670,6631385:6668913,6631618:6669778,6631619:6669808,6631901:6670117,6632901:6671148,6632902:6671464,6633542:6635430,6633543:6635302,6633544:6671836,6633545:6635366,6633546:6672301,6635651:6661081,6635653:6660894,6639123:6644428,6639695:6642545,6640066:6640667,6640928:6641598,6645791:6646362,6646682:6647450,6647202:6648167,6648217:6648890,6652800:6654367,6655088:6655834,6656505:6657182,6656506:6658372,6657819:6659142,6659025:6659220,6663042:6664807,6665067:6666946,6665718:6666643,6665719:6666770,6668654:6669702,6668655:6669257,6668656:6669490,6668657:6669555,6670886:6671561,6671756:6676771,6673385:6674153,6673850:6674271,6674357:6674799,6678032:6678460,6680947:6681184,6682633:6683436,6683289:6683981,', 'assoc_mat': '6612572:etiquette:4209:6613101,6613636:etiquette:4209:6614126,6614336:etiquette:4209:6614587,6614891:etiquette:4209:6616038,6625827:etiquette:4209:6626458,6627447:etiquette:4209:6627864,6627801:etiquette:4209:6628397,6627802:etiquette:4209:6629280,6628455:etiquette:4209:6628838,6628735:etiquette:4209:6629141,6628736:etiquette:4209:6629204,6630577:etiquette:4209:6664553,6630578:etiquette:4209:6664707,6630579:etiquette:4209:6664638,6630580:etiquette:4209:6664938,6630581:etiquette:4209:6665231,6630822:etiquette:4209:6666086,6630823:etiquette:4209:6666055,6631154:etiquette:4209:6668001,6631384:etiquette:4209:6668670,6631385:etiquette:4209:6668913,6631618:etiquette:4209:6669778,6631619:etiquette:4209:6669808,6631901:etiquette:4209:6670117,6632901:etiquette:4209:6671148,6632902:etiquette:4209:6671464,6633542:etiquette:4209:6635430,6633543:etiquette:4209:6635302,6633544:etiquette:4209:6671836,6633545:etiquette:4209:6635366,6633546:etiquette:4209:6672301,6635651:etiquette:4209:6661081,6635653:etiquette:4209:6660894,6'}, {'unwanted_material': 'etiquette', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0007589310876444754, 'nb_photo': 16, 'list_port_cont': '6860869,6861178,6861533,6862611,6863435,6876769,6889758,6894819,6902814,6920942', 'assoc_port': '6860533:6861178,6860536:6860869,6861163:6861533,6861515:6862611,6863221:6863435,6876690:6876769,6889188:6889758,6894658:6894819,6900676:6902814,6920015:6920942', 'assoc_mat': '6860533:etiquette:4209:6861178,6860536:etiquette:4209:6860869,6861163:etiquette:4209:6861533,6861515:etiquette:4209:6862611,6863221:etiquette:4209:6863435,6876690:etiquette:4209:6876769,6889188:etiquette:4209:6889758,6894658:etiquette:4209:6894819,6900676:etiquette:4209:6902814,6920015:etiquette:4209:6920942'}, {'unwanted_material': 'etiquette', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0010885671487047438, 'nb_photo': 5, 'list_port_cont': '6647706', 'assoc_port': '6647200:6647706', 'assoc_mat': '6647200:etiquette:4200:6647706'}, {'unwanted_material': 'film_plastique', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.00029682028164317286, 'nb_photo': 8, 'list_port_cont': '6862648,6866460,6877060,6877718,6877925,6922720,6925580', 'assoc_port': '6832752:6877925,6840554:6877718,6861520:6862648,6865739:6866460,6876686:6877060,6921897:6922720,6925484:6925580', 'assoc_mat': '6832752:film_plastique:4207:6877925,6840554:film_plastique:4207:6877718,6861520:film_plastique:4207:6862648,6865739:film_plastique:4207:6866460,6876686:film_plastique:4207:6877060,6921897:film_plastique:4207:6922720,6925484:film_plastique:4207:6925580'}, {'unwanted_material': 'film_plastique', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 9.746706181821035e-05, 'nb_photo': 9, 'list_port_cont': '6614124,6644434,6702223,6711304,6712598,6744913,6834700', 'assoc_port': '6613636:6614124,6639123:6644434,6701501:6702223,6708643:6712598,6708644:6711304,6744086:6744913,6832752:6834700', 'assoc_mat': '6613636:film_plastique:4209:6614124,6639123:film_plastique:4209:6644434,6701501:film_plastique:4209:6702223,6708643:film_plastique:4209:6712598,6708644:film_plastique:4209:6711304,6744086:film_plastique:4209:6744913,6832752:film_plastique:4209:6834700'}, {'unwanted_material': 'kraft', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0011039430628874177, 'nb_photo': 1, 'list_port_cont': '6917403', 'assoc_port': '6917034:6917403', 'assoc_mat': '6917034:kraft:4207:6917403'}, {'unwanted_material': 'metal', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.9896715615394742, 'nb_photo': 54, 'list_port_cont': '6625531,6661187,6880740,6880777,6881860,6918649', 'assoc_port': '6625304:6625531,6632479:6661187,6880715:6880777,6880716:6880740,6881491:6881860,6887696:6918649', 'assoc_mat': '6625304:metal:4205:6625531,6632479:metal:4205:6661187,6880715:metal:4205:6880777,6880716:metal:4205:6880740,6881491:metal:4205:6881860,6887696:metal:4205:6918649'}, {'unwanted_material': 'metal', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.002857356890964171, 'nb_photo': 188, 'list_port_cont': '6860922,6860979,6861033,6861211,6861400,6861433,6861833,6862030,6862128,6862210,6862338,6862362,6862534,6862572,6862638,6863807,6864053,6866290,6866466,6866498,6866956,6867841,6867914,6868223,6868261,6868374,6868621,6868667,6868732,6869091,6869331,6869392,6869468,6869545,6876850,6876885,6876957,6877055,6877099,6877198,6877539,6877618,6877678,6877719,6877785,6877818,6877877,6877912,6877928,6877966,6878004,6878040,6884491,6886881,6887977,6888302,6894497,6895947,6896159,6897898,6898087,6898465,6898489,6900299,6900468,6904477,6905148,6905987,6907057,6908937,6909122,6915222,6915272,6916692,6917256,6920805,6925583', 'assoc_port': '6790886:6864053,6790887:6862534,6794193:6862128,6832752:6877928,6832753:6877877,6833565:6878040,6834821:6878004,6834822:6877966,6836050:6877785,6838973:6877678,6838974:6877618,6840554:6877719,6842390:6877818,6845438:6869392,6846972:6869545,6846973:6869468,6848417:6869331,6851003:6868667,6852117:6868732,6852533:6869091,6853215:6861400,6853569:6861433,6853919:6868621,6859123:6861833,6860530:6861211,6860531:6861033,6860532:6860979,6860535:6860922,6861512:6868223,6861516:6868261,6861517:6868374,6861519:6862572,6861520:6862638,6861523:6862338,6861524:6862210,6861635:6862362,6861636:6862030,6863220:6863807,6864848:6867914,6864850:6867841,6864853:6866956,6864855:6866498,6865738:6866290,6865739:6866466,6876683:6877198,6876686:6877055,6876687:6877099,6876688:6876885,6876689:6876957,6876691:6876850,6877478:6877912,6877480:6877539,6884290:6884491,6886258:6886881,6887695:6888302,6887732:6887977,6894095:6894497,6895749:6896159,6895752:6895947,6897575:6898087,6897576:6897898,6898175:6898489,6898176:6898465,6899246:6900468,', 'assoc_mat': '6790886:metal:4207:6864053,6790887:metal:4207:6862534,6794193:metal:4207:6862128,6832752:metal:4207:6877928,6832753:metal:4207:6877877,6833565:metal:4207:6878040,6834821:metal:4207:6878004,6834822:metal:4207:6877966,6836050:metal:4207:6877785,6838973:metal:4207:6877678,6838974:metal:4207:6877618,6840554:metal:4207:6877719,6842390:metal:4207:6877818,6845438:metal:4207:6869392,6846972:metal:4207:6869545,6846973:metal:4207:6869468,6848417:metal:4207:6869331,6851003:metal:4207:6868667,6852117:metal:4207:6868732,6852533:metal:4207:6869091,6853215:metal:4207:6861400,6853569:metal:4207:6861433,6853919:metal:4207:6868621,6859123:metal:4207:6861833,6860530:metal:4207:6861211,6860531:metal:4207:6861033,6860532:metal:4207:6860979,6860535:metal:4207:6860922,6861512:metal:4207:6868223,6861516:metal:4207:6868261,6861517:metal:4207:6868374,6861519:metal:4207:6862572,6861520:metal:4207:6862638,6861523:metal:4207:6862338,6861524:metal:4207:6862210,6861635:metal:4207:6862362,6861636:metal:4207:6862030,6863220:metal:4207:686380'}, {'unwanted_material': 'metal', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.026017127541676587, 'nb_photo': 787, 'list_port_cont': '6613097,6614121,6615521,6616026,6626451,6627868,6628403,6628835,6629153,6629208,6629277,6635307,6635359,6635433,6639705,6640666,6641594,6642552,6644427,6647437,6648164,6648886,6654370,6655828,6657169,6658371,6659139,6660892,6661087,6664549,6664633,6664701,6664796,6664935,6665224,6666046,6666081,6666646,6666766,6666945,6667992,6668663,6668912,6669249,6669482,6669546,6669703,6669773,6669806,6670109,6671159,6671466,6671576,6672296,6674155,6674267,6674795,6676776,6678453,6681189,6683437,6683972,6700233,6702218,6704725,6706893,6708961,6709417,6709566,6710044,6710774,6711296,6712599,6716510,6718358,6718713,6718870,6719287,6719648,6720401,6720631,6722162,6722586,6722893,6723437,6723512,6744909,6745246,6746419,6748619,6748941,6749034,6758839,6760267,6760542,6761443,6762005,6774106,6774607,6775285,6776482,6776987,6813179,6834120,6834369,6834695,6835802,6836110,6837026,6839593,6841134,6846021,6847508,6847568,6849264,6850424,6851374,6852778,6853219,6853526,6854348,6855834,6859395', 'assoc_port': '6612572:6613097,6613636:6614121,6614890:6615521,6614891:6616026,6625827:6626451,6627447:6627868,6627801:6628403,6627802:6629277,6628455:6628835,6628735:6629153,6628736:6629208,6630577:6664549,6630578:6664701,6630579:6664633,6630580:6664935,6630581:6665224,6630822:6666081,6630823:6666046,6631154:6667992,6631384:6668663,6631385:6668912,6631618:6669773,6631619:6669806,6631901:6670109,6632901:6671159,6632902:6671466,6633542:6635433,6633543:6635307,6633545:6635359,6633546:6672296,6635651:6661087,6635653:6660892,6639123:6644427,6639124:6639705,6639695:6642552,6640066:6640666,6640928:6641594,6646682:6647437,6647202:6648164,6648217:6648886,6652800:6654370,6655088:6655828,6656505:6657169,6656506:6658371,6657819:6659139,6663042:6664796,6665067:6666945,6665718:6666646,6665719:6666766,6668654:6669703,6668655:6669249,6668656:6669482,6668657:6669546,6670886:6671576,6671756:6676776,6673385:6674155,6673850:6674267,6674357:6674795,6678032:6678453,6680947:6681189,6682633:6683437,6683289:6683972,6699726:6700233,6700555:6704725,', 'assoc_mat': '6612572:metal:4209:6613097,6613636:metal:4209:6614121,6614890:metal:4209:6615521,6614891:metal:4209:6616026,6625827:metal:4209:6626451,6627447:metal:4209:6627868,6627801:metal:4209:6628403,6627802:metal:4209:6629277,6628455:metal:4209:6628835,6628735:metal:4209:6629153,6628736:metal:4209:6629208,6630577:metal:4209:6664549,6630578:metal:4209:6664701,6630579:metal:4209:6664633,6630580:metal:4209:6664935,6630581:metal:4209:6665224,6630822:metal:4209:6666081,6630823:metal:4209:6666046,6631154:metal:4209:6667992,6631384:metal:4209:6668663,6631385:metal:4209:6668912,6631618:metal:4209:6669773,6631619:metal:4209:6669806,6631901:metal:4209:6670109,6632901:metal:4209:6671159,6632902:metal:4209:6671466,6633542:metal:4209:6635433,6633543:metal:4209:6635307,6633545:metal:4209:6635359,6633546:metal:4209:6672296,6635651:metal:4209:6661087,6635653:metal:4209:6660892,6639123:metal:4209:6644427,6639124:metal:4209:6639705,6639695:metal:4209:6642552,6640066:metal:4209:6640666,6640928:metal:4209:6641594,6646682:metal:4209:664743'}, {'unwanted_material': 'metal', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.03426755560145856, 'nb_photo': 14, 'list_port_cont': '6861172,6863427,6863597,6865059,6876772,6881616,6889760,6902821,6920943', 'assoc_port': '6860533:6861172,6863219:6863597,6863221:6863427,6864849:6865059,6876690:6876772,6881493:6881616,6889188:6889760,6900676:6902821,6920015:6920943', 'assoc_mat': '6860533:metal:4209:6861172,6863219:metal:4209:6863597,6863221:metal:4209:6863427,6864849:metal:4209:6865059,6876690:metal:4209:6876772,6881493:metal:4209:6881616,6889188:metal:4209:6889760,6900676:metal:4209:6902821,6920015:metal:4209:6920943'}, {'unwanted_material': 'papier', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.0013353682339268438, 'nb_photo': 9, 'list_port_cont': '6625537,6880784', 'assoc_port': '6625304:6625537,6880715:6880784', 'assoc_mat': '6625304:papier:4205:6625537,6880715:papier:4205:6880784'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.030078019576209876, 'nb_photo': 6564, 'list_port_cont': '6860765,6860809,6860834,6860929,6860974,6861044,6861206,6861412,6861434,6861798,6861840,6861924,6862024,6862135,6862201,6862331,6862374,6862545,6862582,6862651,6862990,6863820,6864046,6866293,6866465,6866499,6866949,6867662,6867830,6867915,6868217,6868247,6868293,6868379,6868403,6868626,6868668,6868733,6868889,6868970,6869094,6869326,6869384,6869464,6869555,6876860,6876889,6876921,6876951,6877008,6877057,6877102,6877186,6877542,6877605,6877685,6877711,6877787,6877810,6877872,6877908,6877920,6877963,6878007,6878032,6881693,6884489,6886474,6886878,6887983,6888296,6889465,6891084,6891165,6891355,6894204,6894504,6895937,6896154,6897893,6898095,6898457,6898491,6900292,6900467,6904483,6904508,6905154,6905995,6906491,6907050,6908161,6908519,6908941,6909123,6914622,6915183,6915210,6915259,6916693,6917258,6917398,6920814,6922713,6925594', 'assoc_port': '6790886:6864046,6790887:6862545,6794193:6862135,6832752:6877920,6832753:6877872,6833565:6878032,6834821:6878007,6834822:6877963,6836050:6877787,6838973:6877685,6838974:6877605,6840554:6877711,6842390:6877810,6845438:6869384,6846972:6869555,6846973:6869464,6848417:6869326,6849526:6868889,6851003:6868668,6852117:6868733,6852533:6869094,6852534:6868970,6853215:6861412,6853569:6861434,6853919:6868626,6855642:6860809,6859123:6861840,6860530:6861206,6860531:6861044,6860532:6860974,6860535:6860929,6860537:6860834,6860538:6860765,6861512:6868217,6861514:6868293,6861516:6868247,6861517:6868379,6861519:6862582,6861520:6862651,6861522:6861798,6861523:6862331,6861524:6862201,6861525:6861924,6861635:6862374,6861636:6862024,6862501:6862990,6863220:6863820,6864848:6867915,6864850:6867830,6864851:6867662,6864853:6866949,6864855:6866499,6865738:6866293,6865739:6866465,6868332:6868403,6876683:6877186,6876684:6876921,6876685:6877008,6876686:6877057,6876687:6877102,6876688:6876889,6876689:6876951,6876691:6876860,6877478:6877908,', 'assoc_mat': '6790886:papier:4207:6864046,6790887:papier:4207:6862545,6794193:papier:4207:6862135,6832752:papier:4207:6877920,6832753:papier:4207:6877872,6833565:papier:4207:6878032,6834821:papier:4207:6878007,6834822:papier:4207:6877963,6836050:papier:4207:6877787,6838973:papier:4207:6877685,6838974:papier:4207:6877605,6840554:papier:4207:6877711,6842390:papier:4207:6877810,6845438:papier:4207:6869384,6846972:papier:4207:6869555,6846973:papier:4207:6869464,6848417:papier:4207:6869326,6849526:papier:4207:6868889,6851003:papier:4207:6868668,6852117:papier:4207:6868733,6852533:papier:4207:6869094,6852534:papier:4207:6868970,6853215:papier:4207:6861412,6853569:papier:4207:6861434,6853919:papier:4207:6868626,6855642:papier:4207:6860809,6859123:papier:4207:6861840,6860530:papier:4207:6861206,6860531:papier:4207:6861044,6860532:papier:4207:6860974,6860535:papier:4207:6860929,6860537:papier:4207:6860834,6860538:papier:4207:6860765,6861512:papier:4207:6868217,6861514:papier:4207:6868293,6861516:papier:4207:6868247,6861517:papier:4'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.9686131104416358, 'nb_photo': 148871, 'list_port_cont': '6613100,6614114,6614594,6615529,6616034,6626462,6627859,6628399,6628843,6629142,6629212,6629275,6635305,6635363,6635424,6639712,6640665,6641601,6642549,6644429,6646359,6647443,6648156,6648888,6654374,6655830,6657171,6658366,6659151,6659226,6660896,6661088,6664555,6664630,6664696,6664799,6664931,6665226,6666045,6666080,6666650,6666767,6666948,6667998,6668669,6668911,6669246,6669487,6669556,6669704,6669775,6669818,6670116,6671162,6671475,6671569,6671851,6672303,6674157,6674272,6674793,6676777,6678463,6681194,6683426,6683976,6700220,6702213,6704717,6706880,6708963,6709412,6709561,6710050,6710787,6711302,6712597,6716513,6718354,6718721,6718876,6719283,6719641,6719885,6720392,6720623,6722156,6722577,6722881,6723438,6723515,6744914,6745255,6746412,6748609,6748948,6749033,6758834,6760258,6760534,6761446,6762006,6762872,6774101,6774621,6775292,6776474,6776980,6813189,6834129,6834360,6834694,6835804,6836115,6837019,6839283,6839590,6841139,6842937,6846030,6847507,6847554,6849265,6850417,6851367,6852769,6853226,6853512,', 'assoc_port': '6612572:6613100,6613636:6614114,6614336:6614594,6614890:6615529,6614891:6616034,6625827:6626462,6627447:6627859,6627801:6628399,6627802:6629275,6628455:6628843,6628735:6629142,6628736:6629212,6630577:6664555,6630578:6664696,6630579:6664630,6630580:6664931,6630581:6665226,6630822:6666080,6630823:6666045,6631154:6667998,6631384:6668669,6631385:6668911,6631618:6669775,6631619:6669818,6631901:6670116,6632901:6671162,6632902:6671475,6633542:6635424,6633543:6635305,6633544:6671851,6633545:6635363,6633546:6672303,6635651:6661088,6635653:6660896,6639123:6644429,6639124:6639712,6639695:6642549,6640066:6640665,6640928:6641601,6645791:6646359,6646682:6647443,6647202:6648156,6648217:6648888,6652800:6654374,6655088:6655830,6656505:6657171,6656506:6658366,6657819:6659151,6659025:6659226,6663042:6664799,6665067:6666948,6665718:6666650,6665719:6666767,6668654:6669704,6668655:6669246,6668656:6669487,6668657:6669556,6670886:6671569,6671756:6676777,6673385:6674157,6673850:6674272,6674357:6674793,6678032:6678463,6680947:6681194,', 'assoc_mat': '6612572:papier:4209:6613100,6613636:papier:4209:6614114,6614336:papier:4209:6614594,6614890:papier:4209:6615529,6614891:papier:4209:6616034,6625827:papier:4209:6626462,6627447:papier:4209:6627859,6627801:papier:4209:6628399,6627802:papier:4209:6629275,6628455:papier:4209:6628843,6628735:papier:4209:6629142,6628736:papier:4209:6629212,6630577:papier:4209:6664555,6630578:papier:4209:6664696,6630579:papier:4209:6664630,6630580:papier:4209:6664931,6630581:papier:4209:6665226,6630822:papier:4209:6666080,6630823:papier:4209:6666045,6631154:papier:4209:6667998,6631384:papier:4209:6668669,6631385:papier:4209:6668911,6631618:papier:4209:6669775,6631619:papier:4209:6669818,6631901:papier:4209:6670116,6632901:papier:4209:6671162,6632902:papier:4209:6671475,6633542:papier:4209:6635424,6633543:papier:4209:6635305,6633544:papier:4209:6671851,6633545:papier:4209:6635363,6633546:papier:4209:6672303,6635651:papier:4209:6661088,6635653:papier:4209:6660896,6639123:papier:4209:6644429,6639124:papier:4209:6639712,6639695:papier:4'}, {'unwanted_material': 'papier', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.9902901831097267, 'nb_photo': 2955, 'list_port_cont': '6860598,6860874,6861066,6861173,6861345,6861539,6861959,6862604,6863422,6863593,6864917,6865058,6866086,6866174,6876761,6877571,6877655,6877751,6881620,6886395,6888025,6889756,6894811,6902822,6905423,6907081,6909151,6920947', 'assoc_port': '6860529:6861066,6860533:6861173,6860534:6860598,6860536:6860874,6861163:6861539,6861164:6861345,6861513:6861959,6861515:6862604,6863219:6863593,6863221:6863422,6864847:6866174,6864849:6865058,6864854:6864917,6865737:6866086,6876690:6876761,6877477:6877751,6877481:6877655,6877482:6877571,6881493:6881620,6886257:6886395,6887731:6888025,6889188:6889756,6894658:6894811,6899249:6909151,6900676:6902822,6903711:6907081,6905103:6905423,6920015:6920947', 'assoc_mat': '6860529:papier:4209:6861066,6860533:papier:4209:6861173,6860534:papier:4209:6860598,6860536:papier:4209:6860874,6861163:papier:4209:6861539,6861164:papier:4209:6861345,6861513:papier:4209:6861959,6861515:papier:4209:6862604,6863219:papier:4209:6863593,6863221:papier:4209:6863422,6864847:papier:4209:6866174,6864849:papier:4209:6865058,6864854:papier:4209:6864917,6865737:papier:4209:6866086,6876690:papier:4209:6876761,6877477:papier:4209:6877751,6877481:papier:4209:6877655,6877482:papier:4209:6877571,6881493:papier:4209:6881620,6886257:papier:4209:6886395,6887731:papier:4209:6888025,6889188:papier:4209:6889756,6894658:papier:4209:6894811,6899249:papier:4209:6909151,6900676:papier:4209:6902822,6903711:papier:4209:6907081,6905103:papier:4209:6905423,6920015:papier:4209:6920947'}, {'unwanted_material': 'papier', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.010245453120925422, 'nb_photo': 31, 'list_port_cont': '6647707,6861711', 'assoc_port': '6647200:6647707,6861521:6861711', 'assoc_mat': '6647200:papier:4200:6647707,6861521:papier:4200:6861711'}, {'unwanted_material': 'pehd', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 2.520265649788176e-05, 'nb_photo': 2, 'list_port_cont': '6678458', 'assoc_port': '6678032:6678458', 'assoc_mat': '6678032:pehd:4209:6678458'}, {'unwanted_material': 'pet_clair', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0009691335779369147, 'nb_photo': 50, 'list_port_cont': '6862208,6862361,6862535,6862580,6862650,6867917,6868229,6868248,6868281,6868376,6868672,6869102,6869324,6869466,6869550,6877011,6877046,6877191,6877677,6877777,6877812,6877923,6877993,6878035,6886875,6888290,6891353,6896153,6898498,6904509,6907044,6917257,6922719,6925591', 'assoc_port': '6790887:6862535,6832752:6877923,6833565:6878035,6834821:6877993,6836050:6877777,6838973:6877677,6842390:6877812,6846972:6869550,6846973:6869466,6848417:6869324,6851003:6868672,6852533:6869102,6861512:6868229,6861514:6868281,6861516:6868248,6861517:6868376,6861519:6862580,6861520:6862650,6861524:6862208,6861635:6862361,6864848:6867917,6876683:6877191,6876685:6877011,6876686:6877046,6886258:6886875,6887695:6888290,6889190:6891353,6895749:6896153,6898175:6898498,6904057:6904509,6906036:6907044,6917033:6917257,6921897:6922719,6925484:6925591', 'assoc_mat': '6790887:pet_clair:4207:6862535,6832752:pet_clair:4207:6877923,6833565:pet_clair:4207:6878035,6834821:pet_clair:4207:6877993,6836050:pet_clair:4207:6877777,6838973:pet_clair:4207:6877677,6842390:pet_clair:4207:6877812,6846972:pet_clair:4207:6869550,6846973:pet_clair:4207:6869466,6848417:pet_clair:4207:6869324,6851003:pet_clair:4207:6868672,6852533:pet_clair:4207:6869102,6861512:pet_clair:4207:6868229,6861514:pet_clair:4207:6868281,6861516:pet_clair:4207:6868248,6861517:pet_clair:4207:6868376,6861519:pet_clair:4207:6862580,6861520:pet_clair:4207:6862650,6861524:pet_clair:4207:6862208,6861635:pet_clair:4207:6862361,6864848:pet_clair:4207:6867917,6876683:pet_clair:4207:6877191,6876685:pet_clair:4207:6877011,6876686:pet_clair:4207:6877046,6886258:pet_clair:4207:6886875,6887695:pet_clair:4207:6888290,6889190:pet_clair:4207:6891353,6895749:pet_clair:4207:6896153,6898175:pet_clair:4207:6898498,6904057:pet_clair:4207:6904509,6906036:pet_clair:4207:6907044,6917033:pet_clair:4207:6917257,6921897:pet_clair:4207:6922719,6'}, {'unwanted_material': 'pet_clair', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.00038788845724592604, 'nb_photo': 52, 'list_port_cont': '6613103,6648162,6655833,6657176,6658378,6660889,6666083,6666651,6666947,6668915,6669550,6669705,6669777,6671157,6700228,6704711,6706879,6709548,6712610,6720621,6722887,6723439,6744920,6748621,6748942,6761453,6774102,6776478,6837016,6841130,6846026,6853934', 'assoc_port': '6612572:6613103,6630822:6666083,6631385:6668915,6631618:6669777,6632901:6671157,6635653:6660889,6647202:6648162,6655088:6655833,6656505:6657176,6656506:6658378,6665067:6666947,6665718:6666651,6668654:6669705,6668657:6669550,6699726:6700228,6700555:6704711,6706262:6706879,6707499:6709548,6708643:6712610,6720202:6720621,6722573:6722887,6723094:6723439,6744086:6744920,6747584:6748621,6748313:6748942,6761126:6761453,6773386:6774102,6776077:6776478,6836050:6837016,6840554:6841130,6845438:6846026,6852534:6853934', 'assoc_mat': '6612572:pet_clair:4209:6613103,6630822:pet_clair:4209:6666083,6631385:pet_clair:4209:6668915,6631618:pet_clair:4209:6669777,6632901:pet_clair:4209:6671157,6635653:pet_clair:4209:6660889,6647202:pet_clair:4209:6648162,6655088:pet_clair:4209:6655833,6656505:pet_clair:4209:6657176,6656506:pet_clair:4209:6658378,6665067:pet_clair:4209:6666947,6665718:pet_clair:4209:6666651,6668654:pet_clair:4209:6669705,6668657:pet_clair:4209:6669550,6699726:pet_clair:4209:6700228,6700555:pet_clair:4209:6704711,6706262:pet_clair:4209:6706879,6707499:pet_clair:4209:6709548,6708643:pet_clair:4209:6712610,6720202:pet_clair:4209:6720621,6722573:pet_clair:4209:6722887,6723094:pet_clair:4209:6723439,6744086:pet_clair:4209:6744920,6747584:pet_clair:4209:6748621,6748313:pet_clair:4209:6748942,6761126:pet_clair:4209:6761453,6773386:pet_clair:4209:6774102,6776077:pet_clair:4209:6776478,6836050:pet_clair:4209:6837016,6840554:pet_clair:4209:6841130,6845438:pet_clair:4209:6846026,6852534:pet_clair:4209:6853934'}, {'unwanted_material': 'pet_clair', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.00042088720046359597, 'nb_photo': 1, 'list_port_cont': '6862605', 'assoc_port': '6861515:6862605', 'assoc_mat': '6861515:pet_clair:4209:6862605'}, {'unwanted_material': 'pet_fonce', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0008578698895049885, 'nb_photo': 28, 'list_port_cont': '6860798,6861839,6862207,6868256,6868671,6869549,6877674,6877708,6877816,6877879,6878008,6886869,6888301,6889467,6898496,6904520,6915175,6922716', 'assoc_port': '6832753:6877879,6834821:6878008,6838973:6877674,6840554:6877708,6842390:6877816,6846972:6869549,6851003:6868671,6855642:6860798,6859123:6861839,6861516:6868256,6861524:6862207,6886258:6886869,6887695:6888301,6887698:6889467,6898175:6898496,6904057:6904520,6914259:6915175,6921897:6922716', 'assoc_mat': '6832753:pet_fonce:4207:6877879,6834821:pet_fonce:4207:6878008,6838973:pet_fonce:4207:6877674,6840554:pet_fonce:4207:6877708,6842390:pet_fonce:4207:6877816,6846972:pet_fonce:4207:6869549,6851003:pet_fonce:4207:6868671,6855642:pet_fonce:4207:6860798,6859123:pet_fonce:4207:6861839,6861516:pet_fonce:4207:6868256,6861524:pet_fonce:4207:6862207,6886258:pet_fonce:4207:6886869,6887695:pet_fonce:4207:6888301,6887698:pet_fonce:4207:6889467,6898175:pet_fonce:4207:6898496,6904057:pet_fonce:4207:6904520,6914259:pet_fonce:4207:6915175,6921897:pet_fonce:4207:6922716'}, {'unwanted_material': 'pet_fonce', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.002001176734086916, 'nb_photo': 165, 'list_port_cont': '6613106,6614596,6626457,6628830,6629210,6635370,6641607,6642548,6644426,6646347,6647448,6648893,6654377,6659140,6659225,6660883,6661079,6664546,6664700,6665227,6666079,6666644,6666756,6666950,6668662,6669252,6669485,6669785,6671575,6674270,6678461,6683425,6683978,6702227,6704714,6706892,6708972,6709423,6709577,6711293,6712608,6718881,6719276,6719647,6720634,6722892,6723506,6744910,6748597,6762003,6774109,6776983,6841135,6842934,6847565,6859391', 'assoc_port': '6612572:6613106,6614336:6614596,6625827:6626457,6628455:6628830,6628736:6629210,6630577:6664546,6630578:6664700,6630581:6665227,6630822:6666079,6631384:6668662,6631618:6669785,6633545:6635370,6635651:6661079,6635653:6660883,6639123:6644426,6639695:6642548,6640928:6641607,6645791:6646347,6646682:6647448,6648217:6648893,6652800:6654377,6657819:6659140,6659025:6659225,6665067:6666950,6665718:6666644,6665719:6666756,6668655:6669252,6668656:6669485,6670886:6671575,6673850:6674270,6678032:6678461,6682633:6683425,6683289:6683978,6700555:6704714,6701501:6702227,6706262:6706892,6706760:6709423,6707163:6708972,6707499:6709577,6708643:6712608,6708644:6711293,6718520:6719276,6718521:6718881,6719441:6719647,6720202:6720634,6722573:6722892,6723192:6723506,6744086:6744910,6747584:6748597,6759349:6762003,6773386:6774109,6775574:6776983,6840554:6841135,6842390:6842934,6846972:6847565,6859123:6859391', 'assoc_mat': '6612572:pet_fonce:4209:6613106,6614336:pet_fonce:4209:6614596,6625827:pet_fonce:4209:6626457,6628455:pet_fonce:4209:6628830,6628736:pet_fonce:4209:6629210,6630577:pet_fonce:4209:6664546,6630578:pet_fonce:4209:6664700,6630581:pet_fonce:4209:6665227,6630822:pet_fonce:4209:6666079,6631384:pet_fonce:4209:6668662,6631618:pet_fonce:4209:6669785,6633545:pet_fonce:4209:6635370,6635651:pet_fonce:4209:6661079,6635653:pet_fonce:4209:6660883,6639123:pet_fonce:4209:6644426,6639695:pet_fonce:4209:6642548,6640928:pet_fonce:4209:6641607,6645791:pet_fonce:4209:6646347,6646682:pet_fonce:4209:6647448,6648217:pet_fonce:4209:6648893,6652800:pet_fonce:4209:6654377,6657819:pet_fonce:4209:6659140,6659025:pet_fonce:4209:6659225,6665067:pet_fonce:4209:6666950,6665718:pet_fonce:4209:6666644,6665719:pet_fonce:4209:6666756,6668655:pet_fonce:4209:6669252,6668656:pet_fonce:4209:6669485,6670886:pet_fonce:4209:6671575,6673850:pet_fonce:4209:6674270,6678032:pet_fonce:4209:6678461,6682633:pet_fonce:4209:6683425,6683289:pet_fonce:4209:6683978,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0009882492230258019, 'nb_photo': 2, 'list_port_cont': '6894805', 'assoc_port': '6894658:6894805', 'assoc_mat': '6894658:pet_fonce:4209:6894805'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9832720072705387, 'nb_photo': 21, 'list_port_cont': '6647700,6861697', 'assoc_port': '6647200:6647700,6861521:6861697', 'assoc_mat': '6647200:pet_fonce:4200:6647700,6861521:pet_fonce:4200:6861697'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0006428090611349251, 'nb_photo': 9, 'list_port_cont': '6866496,6868369,6869096,6869546,6878036,6904487,6905142,6905991,6922715', 'assoc_port': '6833565:6878036,6846972:6869546,6852533:6869096,6861517:6868369,6864855:6866496,6903710:6905991,6903712:6904487,6905102:6905142,6921897:6922715', 'assoc_mat': '6833565:pet_opaque:4207:6878036,6846972:pet_opaque:4207:6869546,6852533:pet_opaque:4207:6869096,6861517:pet_opaque:4207:6868369,6864855:pet_opaque:4207:6866496,6903710:pet_opaque:4207:6905991,6903712:pet_opaque:4207:6904487,6905102:pet_opaque:4207:6905142,6921897:pet_opaque:4207:6922715'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005744915736568625, 'nb_photo': 214, 'list_port_cont': '6613105,6614118,6616031,6627858,6628408,6628839,6629216,6629282,6635308,6635367,6639706,6640660,6641595,6644422,6647441,6655823,6657172,6658373,6659149,6660897,6661077,6664543,6664634,6664804,6664940,6665229,6666078,6666656,6666757,6666952,6667994,6668664,6668914,6669254,6669547,6669695,6669784,6669814,6670110,6671566,6671848,6672292,6674152,6676774,6678456,6681180,6683428,6683979,6700223,6704719,6706884,6709575,6711305,6712607,6718352,6718715,6719280,6719890,6720396,6722151,6722589,6722891,6723435,6744915,6748617,6748952,6749035,6760254,6761440,6774110,6776978,6813183,6834135,6834365,6834702,6835809,6839582,6841141,6842938,6853225,6853523,6859402', 'assoc_port': '6612572:6613105,6613636:6614118,6614891:6616031,6627447:6627858,6627801:6628408,6627802:6629282,6628455:6628839,6628736:6629216,6630577:6664543,6630579:6664634,6630580:6664940,6630581:6665229,6630822:6666078,6631154:6667994,6631384:6668664,6631385:6668914,6631618:6669784,6631619:6669814,6631901:6670110,6633543:6635308,6633544:6671848,6633545:6635367,6633546:6672292,6635651:6661077,6635653:6660897,6639123:6644422,6639124:6639706,6640066:6640660,6640928:6641595,6646682:6647441,6655088:6655823,6656505:6657172,6656506:6658373,6657819:6659149,6663042:6664804,6665067:6666952,6665718:6666656,6665719:6666757,6668654:6669695,6668655:6669254,6668657:6669547,6670886:6671566,6671756:6676774,6673385:6674152,6678032:6678456,6680947:6681180,6682633:6683428,6683289:6683979,6699726:6700223,6700555:6704719,6706262:6706884,6707499:6709575,6708643:6712607,6708644:6711305,6715973:6718352,6716500:6718715,6717201:6719890,6718520:6719280,6719951:6720396,6721826:6722589,6721827:6722151,6722573:6722891,6723094:6723435,6744086:6744915,', 'assoc_mat': '6612572:pet_opaque:4209:6613105,6613636:pet_opaque:4209:6614118,6614891:pet_opaque:4209:6616031,6627447:pet_opaque:4209:6627858,6627801:pet_opaque:4209:6628408,6627802:pet_opaque:4209:6629282,6628455:pet_opaque:4209:6628839,6628736:pet_opaque:4209:6629216,6630577:pet_opaque:4209:6664543,6630579:pet_opaque:4209:6664634,6630580:pet_opaque:4209:6664940,6630581:pet_opaque:4209:6665229,6630822:pet_opaque:4209:6666078,6631154:pet_opaque:4209:6667994,6631384:pet_opaque:4209:6668664,6631385:pet_opaque:4209:6668914,6631618:pet_opaque:4209:6669784,6631619:pet_opaque:4209:6669814,6631901:pet_opaque:4209:6670110,6633543:pet_opaque:4209:6635308,6633544:pet_opaque:4209:6671848,6633545:pet_opaque:4209:6635367,6633546:pet_opaque:4209:6672292,6635651:pet_opaque:4209:6661077,6635653:pet_opaque:4209:6660897,6639123:pet_opaque:4209:6644422,6639124:pet_opaque:4209:6639706,6640066:pet_opaque:4209:6640660,6640928:pet_opaque:4209:6641595,6646682:pet_opaque:4209:6647441,6655088:pet_opaque:4209:6655823,6656505:pet_opaque:4209:6657172,'}), 'main_stat': {'nb_photos': 8000}}, 'hostname': (('jetson-2',),), 'impurety_average_per_hashtag': [(('emr', '2022-08', 0.03139712425437559),), (('jrm', '2022-08', 0.00838254816722681),), (('aluminium', '2022-08', 0.006832126052700646),), (('pet_fonce', '2022-08', 0.012910461966287217),), (('gm', '2022-08', 0.009116560536537937),)]}
filepath : /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf
Before plot_photos_and_unwanted_material_summary
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
None was removed should we ?
donnée sous forme de texte was removed should we ?
[ptf_id0,ptf_id1...] was removed should we ?
Before organize_and_plot_unwanted_material_stats
{'emr': {'barquette_opaque': ['barquette_opaque', '0.01%', 44], 'carton': ['carton', '0.78%', 1462], 'ela': ['ela', '0.01%', 3], 'etiquette': ['etiquette', '0.08%', 1049], 'film_plastique': ['film_plastique', '0.01%', 9], 'kraft': ['kraft', '0.11%', 1], 'metal': ['metal', '2.6%', 787], 'papier': ['papier', '96.86%', 148871], 'pehd': ['pehd', '0.0%', 2], 'pet_clair': ['pet_clair', '0.04%', 52], 'pet_fonce': ['pet_fonce', '0.2%', 165], 'pet_opaque': ['pet_opaque', '0.06%', 214]}, 'aluminium': {'carton': ['carton', '1.02%', 16], 'metal': ['metal', '98.97%', 54], 'papier': ['papier', '0.13%', 9]}, 'gm': {'carton': ['carton', '0.29%', 10], 'etiquette': ['etiquette', '0.08%', 16], 'metal': ['metal', '3.43%', 14], 'papier': ['papier', '99.03%', 2955], 'pet_clair': ['pet_clair', '0.04%', 1], 'pet_fonce': ['pet_fonce', '0.1%', 2]}, 'pet_fonce': {'carton': ['carton', '0.59%', 4], 'etiquette': ['etiquette', '0.11%', 5], 'papier': ['papier', '1.02%', 31], 'pet_fonce': ['pet_fonce', '98.33%', 21]}}
before plot_matierial_repartition
before organize_and_plot_coverage_data
before organize_and_plot_impurety_average_data
before organize_and_plot_quality_photo_data
finish generating
filepath : /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf
hash: 9b473a9b7e6f69a2b2147971a7bf4221 for path: /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf
voici le hostname : marlene
hash: 9b473a9b7e6f69a2b2147971a7bf4221 for path: /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf

############################### TEST one_day  ################################
TODO and TOTEST
Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_one_day
 nb_day : (3, 30)
nb deleted : 3
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
Inconsistency in dashboard_places 
 dashboard_places from input : romainville_petite_presse
 dashboard_name_from_port found from datou STS from crontab from raspi : Romainville_Presse_1
We force the correct camera_place_name !
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO
TODO : Insert select and so on
 ***** analysis of device with port 20001 for dashboard romainville_petite_presse *****
  **** analysis of day 2022/09/01/ ****
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
WARNING: No hour configured for port 20001, from 00:00 to 24:00 used
0:00:00 apple
   pause between two photos 10
Unable to retrieve photo time from log, find in sqlite.
Find filename in sqlite.
 List of all images
[]
   Info from logs
    total number of images : 0
    coverage for 10 seconds : 0:00:00 (0.00%)
    coverage for 20 seconds : 0:00:00 (0.00%)
    max time between two photos : 0:00:00
    results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0
    end of day status of photos as found in sqllite
Unable to find info for dashboard number 181 for day 2022-09-01 00:00:00
   Info from dashboard
    total number of uploaded images : 0
    number of useful images : 5716
    number of finished photos : 0 (0.00% of two criteria ok)
    number of finished photos for older algorithm : 0 (0.00% of two criteria ok)
    number of started photos : 0 (0.00% of two criteria ok)
  **** analysis of day 2022/09/02/ ****
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
WARNING: No hour configured for port 20001, from 00:00 to 24:00 used
0:00:00 apple
   pause between two photos 10
Unable to retrieve photo time from log, find in sqlite.
Find filename in sqlite.
 List of all images
[]
   Info from logs
    total number of images : 0
    coverage for 10 seconds : 0:00:00 (0.00%)
    coverage for 20 seconds : 0:00:00 (0.00%)
    max time between two photos : 0:00:00
    results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0
    end of day status of photos as found in sqllite
Unable to find info for dashboard number 181 for day 2022-09-02 00:00:00
   Info from dashboard
    total number of uploaded images : 0
    number of useful images : 5716
    number of finished photos : 0 (0.00% of two criteria ok)
    number of finished photos for older algorithm : 0 (0.00% of two criteria ok)
    number of started photos : 0 (0.00% of two criteria ok)
  **** analysis of day 2022/09/03/ ****
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
WARNING: No hour configured for port 20001, from 00:00 to 24:00 used
0:00:00 apple
   pause between two photos 10
Unable to retrieve photo time from log, find in sqlite.
Find filename in sqlite.
 List of all images
[]
   Info from logs
    total number of images : 0
    coverage for 10 seconds : 0:00:00 (0.00%)
    coverage for 20 seconds : 0:00:00 (0.00%)
    max time between two photos : 0:00:00
    results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0
    end of day status of photos as found in sqllite
Unable to find info for dashboard number 181 for day 2022-09-03 00:00:00
   Info from dashboard
    total number of uploaded images : 0
    number of useful images : 5716
    number of finished photos : 0 (0.00% of two criteria ok)
    number of finished photos for older algorithm : 0 (0.00% of two criteria ok)
    number of started photos : 0 (0.00% of two criteria ok)
  **** analysis for all days ****
  Info from logs
   total number of images : 0
   coverage for 10 seconds : 0:00:00 (0.00%)
   coverage for 20 seconds : 0:00:00 (0.00%)
   max time between two photos : 0:00:00
   results of pre-diagnostic : light ok 17148, not duplicated 17595, two criteria ok 17148, nb forced upload 0
   end of day status of photos as found in sqllite
  Info from dashboard
   total number of uploaded images : 0
   number of useful images : 17148
   number of finished photos : 0 (0.00% of two criteria ok)
   number of finished photos for older algorithm : 0 (0.00% of two criteria ok)
   number of started photos : 0 (0.00% of two criteria ok)
cvs resume : 

date,nb_photos,% time,nb ok,uploaded,to upload, % uploaded, nb useful, % completed photos, last_update, remark
2022/09/01,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00,
2022/09/02,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00,
2022/09/03,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00,
coverage for this period for every 10 second
2022/09/01/ 0.0
2022/09/02/ 0.0
2022/09/03/ 0.0
mean value for this period :  0.0
coverage for this period for every 20 second
2022/09/01/ 0.0
2022/09/02/ 0.0
2022/09/03/ 0.0
mean value for this period :  0.0
SQL: SELECT ms.id, ms.name, mst.name as type, ms.test_group, ms.test_name, ms.server, ms.version_code, ms.result_str, ms.result_bool, ms.result_float, ms.lien, ms.created_at FROM MTRAdmin.monitor_sys ms
                 INNER JOIN MTRAdmin.monitor_sys_type mst on mst.id = ms.type 
                 WHERE mst.id='3' AND ms.name='sla_RUBBIA' AND ms.test_name like '%20001 romainville_petite_presse%'ORDER BY ms.id desc LIMIT 0, 1000000;

############################### TEST get_data  ################################
TODO and TOTEST
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
 nb_day : (0, 31)
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
place_id : 53
month : 08
mtr_id : 1038
dashboard_places : Romainville_Presse_1
date : 2022-08
year : 2022
raspi : 20064
select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (select id from MTRUser.mtr_portfolios where  id in (select mtr_portfolio_id from MTRPhoto.dashboard_results where dashboard_run_id in(select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id in (select id from MTRPhoto.dashboard_places where name = 'Romainville_Presse_1' and date like '%2022-08%') and created_at like '%2022-08%')));
 nb_day : (0, 31)
after unwanted_material_data
 nb_day : (0, 31)
SQL: SELECT ms.id, ms.name, mst.name as type, ms.test_group, ms.test_name, ms.server, ms.version_code, ms.result_str, ms.result_bool, ms.result_float, ms.lien, ms.created_at FROM MTRAdmin.monitor_sys ms
                 INNER JOIN MTRAdmin.monitor_sys_type mst on mst.id = ms.type 
                 WHERE ms.test_name like '%20064%' AND ms.result_str like '%2022/08%'ORDER BY ms.id desc LIMIT 0, 1000000;
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/02', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4023}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/02', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/01', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/01', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4023}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/01', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/01', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/27', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472123, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/24', 'portfolio_id': 6830485, 'last_run_id': 470724, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469344, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/20', 'portfolio_id': 6785173, 'last_run_id': 464819, 'total_number_of_photos': 3939}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 58, 'nb_images_finished': 1089, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 15, 'nb_images_started': 413, 'nb_selected_images': 1603, 'last_update': '2022/08/19', 'portfolio_id': 6771154, 'last_run_id': 463447, 'total_number_of_photos': 4062}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/18', 'portfolio_id': 6756941, 'last_run_id': 462344, 'total_number_of_photos': 3930}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 68, 'nb_images_finished': 1390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 343, 'nb_selected_images': 1733, 'last_update': '2022/08/17', 'portfolio_id': 6738801, 'last_run_id': 461015, 'total_number_of_photos': 3941}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2474}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 51, 'nb_images_finished': 864, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 33, 'nb_images_started': 767, 'nb_selected_images': 1631, 'last_update': '2022/08/12', 'portfolio_id': 6680169, 'last_run_id': 455143, 'total_number_of_photos': 3939}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 856, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 17, 'nb_images_started': 407, 'nb_selected_images': 1263, 'last_update': '2022/08/11', 'portfolio_id': 6662197, 'last_run_id': 453977, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/10', 'portfolio_id': 6645254, 'last_run_id': 452640, 'total_number_of_photos': 3937}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 76, 'nb_images_started': 1439, 'nb_selected_images': 1439, 'last_update': '2022/08/06', 'portfolio_id': 6630409, 'last_run_id': 450661, 'total_number_of_photos': 3927}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/03', 'portfolio_id': 6612466, 'last_run_id': 450107, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449257, 'total_number_of_photos': 3918}}
Found day : 2022-08-31 00:00:00
Found day : 2022-08-30 00:00:00
Found day : 2022-08-29 00:00:00
Found day : 2022-08-27 00:00:00
Found day : 2022-08-26 00:00:00
Found day : 2022-08-25 00:00:00
Found day : 2022-08-24 00:00:00
Found day : 2022-08-23 00:00:00
Found day : 2022-08-22 00:00:00
Found day : 2022-08-20 00:00:00
Found day : 2022-08-19 00:00:00
Found day : 2022-08-18 00:00:00
Found day : 2022-08-17 00:00:00
Found day : 2022-08-16 00:00:00
Found day : 2022-08-15 00:00:00
Found day : 2022-08-13 00:00:00
Found day : 2022-08-12 00:00:00
Found day : 2022-08-11 00:00:00
Found day : 2022-08-10 00:00:00
Found day : 2022-08-09 00:00:00
Found day : 2022-08-08 00:00:00
Found day : 2022-08-06 00:00:00
Found day : 2022-08-05 00:00:00
Found day : 2022-08-04 00:00:00
Found day : 2022-08-03 00:00:00
Found day : 2022-08-02 00:00:00
Found day : 2022-08-01 00:00:00
after coverage_data
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______emr' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______jrm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______aluminium' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______pet_fonce' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______gm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
select avg(cps.score) as score, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'__', -1), '_', 1) as sbstr, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'_', -2), '_', 1) as sbstr2, SUBSTRING_INDEX(mp.name,'_', -1) as sbstr3 FROM MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp,MTRPhoto.class_photo_score cps,MTRBack.hashtags h,MTRPhoto.dashboard_results dr,MTRPhoto.dashboard_entry_day ded, MTRPhoto.dashboard_places dp WHERE mp.id=mpp.mtr_portfolio_id and cps.photo_id=mpp.mtr_photo_id and h.hashtag_id=cps.hashtag_id and dr.mtr_portfolio_id = mpp.mtr_portfolio_id and dr.dashboard_run_id = ded.last_run_id and ded.dashboard_place_id = dp.id and h.hashtag in ('blur', 'mean_blur', 'clear') and dp.id = 53 and mp.name like '%082022%' and cps.thcl =  1533 GROUP BY sbstr ;
after number_of_batch
 date_start : 2022-08-01 :  <class 'str'>
 dt_date_just_month_year : 2022-08-01 00:00:00 :  <class 'datetime.datetime'>
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
after pl.get_datou_sts_from_crontab : verbose : True
no sts found, try to find from database
SELECT dri.id
            FROM MTRPhoto.dashboard_run_ids dri,
            MTRPhoto.dashboard_entry_day ded,
            MTRPhoto.dashboard_places dp
            WHERE dp.name= "Romainville_Presse_1"
            AND ded.dashboard_place_id=dp.id
            AND dri.dashboard_entry_day=ded.id
            AND dri.id=ded.last_run_id AND ded.date >= "2022-08-01" AND ded.date <= "2022-08-31"
apple3 {'gm': {'mat': 'gm', 'pht': 4209, 'datou_carac_id': 3994, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier'}, 'emr': {'mat': 'emr', 'pht': 4207, 'datou_carac_id': 3993, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'carton'}, 'jrm': {'mat': 'jrm', 'pht': 3726, 'datou_carac_id': 3459, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier'}, 'ela': {'mat': 'ela', 'pht': 4203, 'datou_carac_id': 3991, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'ela'}, 'pet_clair': {'mat': 'pet_clair', 'pht': 3327, 'datou_carac_id': 3804, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_clair,bouchon,etiquette,barquette_avec_film'}, 'film_pedb': {'mat': 'film_pedb', 'pht': 4461, 'datou_carac_id': 4322, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'film_plastique'}, 'pehd_pp': {'mat': 'pehd_pp', 'pht': 4211, 'datou_carac_id': 3995, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pehd'}, 'pet_fonce': {'mat': 'pet_fonce', 'pht': 4200, 'datou_carac_id': 4153, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_fonce'}, 'aluminium': {'mat': 'aluminium', 'pht': 4205, 'datou_carac_id': 3992, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'metal'}, 'refus': {'mat': 'refus', 'pht': 3594, 'datou_carac_id': 3318, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'refus'}}
SELECT h.hashtag as unwanted_material, substr(dr.hashtag,8) as main_material,
            ptp.type as pht_type,
            sum(pcr.value*dr.nombre_balle)/sum(dr.nombre_balle) as ratio,
            count(distinct mpp.mtr_photo_id) as nb_photo,
            group_concat(distinct ptp.mtr_portfolio_id_2) as list_port_cont,
            group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_port,
            group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", h.hashtag, ":", cast(ptp.type as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_mat
                FROM MTRPhoto.dashboard_results dr,
                MTRPhoto.mtr_port_to_port_ids ptp,
                MTRUser.mtr_portfolio_photos mpp,
                MTRUser.portfolio_carac_ratio pcr,
                MTRBack.hashtags h  WHERE dr.dashboard_run_id IN  (449271,454376,454388,454411,454399,454424,451519,452689,468274,455185,456478,457640,459828,461074,462392,463490,464885,465870,469411,470781,897152,474755,474338,475306,477478,478927,479886)
                AND dr.mtr_portfolio_id=ptp.mtr_portfolio_id_1
                AND dr.qualite >= 0
                AND mpp.mtr_portfolio_id=ptp.mtr_portfolio_id_2
                AND pcr.portfolio_id=ptp.mtr_portfolio_id_1
                AND h.hashtag_id = pcr.hashtag_id
                AND ptp.type = pcr.hashtag_type
                AND mpp.hide_status = 0
                AND ptp.hashtag_id=h.hashtag_id  AND ptp.type IN (4209,4207,3726,4203,3327,4461,4211,4200,4205,3594) 
                 group by h.hashtag, dr.hashtag, ptp.type;
VR TODO TO BETTER PARSE !
({'unwanted_material': 'autre', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.025985557831013643, 'nb_photo': 16651, 'list_port_cont': '6601211,6601249,6601319,6601376,6601558,6601691,6601783,6601837,6602312,6603611,6603837,6603984,6604939,6606283,6606361,6607127,6607396,6607889,6608318,6608592,6608684,6608960,6609911,6610060,6610278,6610907,6611078,6613725,6614148,6615899,6616064,6616199,6616975,6617461,6617846,6618177,6618947,6620505,6620992,6621119,6621146,6621174,6621388,6621447,6621537,6622105,6622162,6622311,6622378,6622426,6622514,6622647,6622758,6626372,6626974,6626997,6627200,6627837,6628024,6628557,6628624,6629354,6629396,6635806,6635864,6635897,6635947,6635974,6636029,6636109,6636139,6636295,6636316,6636423,6636599,6636674,6636727,6636791,6637048,6637689,6637708,6637756,6637854,6637954,6637974,6638095,6638421,6638597,6638696,6638833,6638947,6638968,6639187,6639299,6639353,6639652,6639761,6639844,6639904,6639965,6640123,6640725,6640745,6640776,6640959,6641209,6641306,6641333,6641484,6641521,6641655,6641820,6641954,6642026,6642079,6642285,6643237,6643372,6643479,6643603,6643631,6643664,6643695,6643718,6643895,6644078,6644458,6644663,', 'assoc_port': '6600535:6601249,6600537:6601691,6600543:6601211,6600545:6601376,6600547:6601558,6600550:6601783,6600553:6601319,6601140:6602312,6601199:6601837,6602727:6603837,6602729:6603984,6602732:6603611,6604400:6604939,6604702:6606361,6605500:6606283,6605502:6607127,6606682:6608318,6606685:6607889,6606687:6607396,6607836:6608592,6607838:6608684,6608144:6608960,6609197:6610060,6609198:6609911,6609963:6610278,6610497:6611078,6610499:6610907,6612953:6613725,6613333:6614148,6614966:6616199,6614968:6616064,6615360:6615899,6616171:6616975,6616960:6618177,6616966:6617461,6616967:6617846,6618310:6618947,6620036:6620505,6620039:6621388,6620042:6620992,6620404:6621146,6620441:6621447,6620445:6621174,6620446:6621537,6620449:6621119,6621639:6622647,6621642:6622758,6621645:6622514,6621650:6622378,6621652:6622426,6621655:6622162,6621656:6622105,6621661:6622311,6625901:6626372,6626270:6626974,6626272:6626997,6626275:6627200,6627097:6627837,6627099:6628024,6627946:6628557,6627948:6628624,6628988:6629354,6628991:6629396,6630847:6635947,', 'assoc_mat': '6600535:autre:3327:6601249,6600537:autre:3327:6601691,6600543:autre:3327:6601211,6600545:autre:3327:6601376,6600547:autre:3327:6601558,6600550:autre:3327:6601783,6600553:autre:3327:6601319,6601140:autre:3327:6602312,6601199:autre:3327:6601837,6602727:autre:3327:6603837,6602729:autre:3327:6603984,6602732:autre:3327:6603611,6604400:autre:3327:6604939,6604702:autre:3327:6606361,6605500:autre:3327:6606283,6605502:autre:3327:6607127,6606682:autre:3327:6608318,6606685:autre:3327:6607889,6606687:autre:3327:6607396,6607836:autre:3327:6608592,6607838:autre:3327:6608684,6608144:autre:3327:6608960,6609197:autre:3327:6610060,6609198:autre:3327:6609911,6609963:autre:3327:6610278,6610497:autre:3327:6611078,6610499:autre:3327:6610907,6612953:autre:3327:6613725,6613333:autre:3327:6614148,6614966:autre:3327:6616199,6614968:autre:3327:6616064,6615360:autre:3327:6615899,6616171:autre:3327:6616975,6616960:autre:3327:6618177,6616966:autre:3327:6617461,6616967:autre:3327:6617846,6618310:autre:3327:6618947,6620036:autre:3327:662050'}, {'unwanted_material': 'barquette_avec_film', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0050634087913797535, 'nb_photo': 1051, 'list_port_cont': '6601216,6601255,6601316,6601366,6601556,6601694,6601795,6601849,6602314,6603610,6603845,6603981,6604938,6606272,6606380,6607136,6607388,6607885,6608324,6608593,6608675,6608967,6609910,6610048,6610273,6611082,6613721,6614147,6615898,6616193,6616972,6617468,6618176,6618950,6620509,6620988,6621144,6621167,6621391,6621449,6622102,6622163,6622316,6622379,6622436,6622519,6622752,6626364,6626973,6627004,6627197,6627840,6628023,6628564,6628623,6629352,6629394,6635811,6635862,6635901,6635945,6635972,6636036,6636112,6636138,6636318,6636424,6636724,6637044,6637685,6637716,6637764,6637852,6637945,6637984,6638094,6638596,6638700,6638835,6638944,6638974,6639298,6639361,6639645,6639764,6639852,6639896,6639968,6640121,6640722,6640783,6640963,6641211,6641294,6641332,6641486,6641520,6641652,6641944,6642022,6642080,6642290,6643373,6643478,6643608,6643683,6643716,6643902,6644079,6644456,6644652,6645162,6645304,6645766,6647408,6648376,6648805,6649738,6651383,6651686,6654487,6654608,6655045,6655877,6656213,6656668,6659085,6660221,', 'assoc_port': '6600535:6601255,6600537:6601694,6600543:6601216,6600545:6601366,6600547:6601556,6600550:6601795,6600553:6601316,6601140:6602314,6601199:6601849,6602727:6603845,6602729:6603981,6602732:6603610,6604400:6604938,6604702:6606380,6605500:6606272,6605502:6607136,6606682:6608324,6606685:6607885,6606687:6607388,6607836:6608593,6607838:6608675,6608144:6608967,6609197:6610048,6609198:6609910,6609963:6610273,6610497:6611082,6612953:6613721,6613333:6614147,6614966:6616193,6615360:6615898,6616171:6616972,6616960:6618176,6616966:6617468,6618310:6618950,6620036:6620509,6620039:6621391,6620042:6620988,6620404:6621144,6620441:6621449,6620445:6621167,6621642:6622752,6621645:6622519,6621650:6622379,6621652:6622436,6621655:6622163,6621656:6622102,6621661:6622316,6625901:6626364,6626270:6626973,6626272:6627004,6626275:6627197,6627097:6627840,6627099:6628023,6627946:6628564,6627948:6628623,6628988:6629352,6628991:6629394,6630847:6635945,6630849:6636036,6630851:6635972,6630854:6637685,6630934:6637764,6630936:6637716,6630938:6638094,', 'assoc_mat': '6600535:barquette_avec_film:3327:6601255,6600537:barquette_avec_film:3327:6601694,6600543:barquette_avec_film:3327:6601216,6600545:barquette_avec_film:3327:6601366,6600547:barquette_avec_film:3327:6601556,6600550:barquette_avec_film:3327:6601795,6600553:barquette_avec_film:3327:6601316,6601140:barquette_avec_film:3327:6602314,6601199:barquette_avec_film:3327:6601849,6602727:barquette_avec_film:3327:6603845,6602729:barquette_avec_film:3327:6603981,6602732:barquette_avec_film:3327:6603610,6604400:barquette_avec_film:3327:6604938,6604702:barquette_avec_film:3327:6606380,6605500:barquette_avec_film:3327:6606272,6605502:barquette_avec_film:3327:6607136,6606682:barquette_avec_film:3327:6608324,6606685:barquette_avec_film:3327:6607885,6606687:barquette_avec_film:3327:6607388,6607836:barquette_avec_film:3327:6608593,6607838:barquette_avec_film:3327:6608675,6608144:barquette_avec_film:3327:6608967,6609197:barquette_avec_film:3327:6610048,6609198:barquette_avec_film:3327:6609910,6609963:barquette_avec_film:3327:6610273'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0006065490165070008, 'nb_photo': 9, 'list_port_cont': '6603426,6627334,6634749,6723417,6780640,6834099,6852168', 'assoc_port': '6602731:6603426,6626721:6627334,6630937:6634749,6671808:6834099,6722813:6723417,6780026:6780640,6851650:6852168', 'assoc_mat': '6602731:barquette_opaque:4203:6603426,6626721:barquette_opaque:4203:6627334,6630937:barquette_opaque:4203:6634749,6671808:barquette_opaque:4203:6834099,6722813:barquette_opaque:4203:6723417,6780026:barquette_opaque:4203:6780640,6851650:barquette_opaque:4203:6852168'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005293780694215035, 'nb_photo': 1, 'list_port_cont': '6692906', 'assoc_port': '6691778:6692906', 'assoc_mat': '6691778:barquette_opaque:4209:6692906'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.008662761320534096, 'nb_photo': 659, 'list_port_cont': '6600860,6600903,6601023,6601433,6602273,6602593,6603403,6606082,6607689,6608069,6608289,6609462,6610653,6614532,6615427,6615792,6616525,6618779,6618922,6620328,6621053,6621664,6621960,6622002,6622135,6622199,6624057,6626607,6627268,6628481,6629183,6629252,6634382,6635139,6638289,6638441,6640989,6642058,6642706,6650155,6650276,6650959,6658495,6664041,6668175,6669610,6672035,6674014,6674549,6674630,6674772,6675081,6675105,6675139,6675482,6676524,6677132,6677217,6678042,6678216,6678577,6678660,6678688,6678769,6678960,6678988,6681252,6687138,6692292,6693194,6693681,6693891,6694045,6694217,6694420,6698421,6698805,6699377,6699427,6700669,6707231,6711232,6711409,6711495,6712142,6713437,6713607,6713753,6714397,6716562,6717498,6717555,6718025,6719023,6719736,6720660,6720723,6721143,6721925,6722677,6723045,6723102,6724740,6724912,6724973,6725830,6729866,6730263,6730718,6731855,6732324,6732440,6735375,6738136,6740197,6740602,6741090,6741939,6743256,6743597,6743876,6745278,6747827,6751581,6751678,6751683,6752336,6754140,', 'assoc_port': '10844008:10846065,10844009:10845784,10844011:10845552,10844012:10845981,10844014:10845176,10844016:10845161,10844017:10845129,10844018:10844946,10844019:10845048,10844020:10844679,12107427:12108055,12107429:12107821,6600536:6601433,6600544:6600860,6600546:6601023,6600551:6600903,6601138:6602593,6601649:6602273,6602733:6603403,6604399:6608069,6605499:6610653,6605688:6606082,6606683:6607689,6607839:6608289,6609199:6609462,6614199:6614532,6614969:6615427,6615362:6615792,6616173:6616525,6618307:6618779,6618311:6618922,6620040:6620328,6620422:6621664,6620444:6621053,6621638:6624057,6621647:6622199,6621651:6622135,6621654:6621960,6621659:6622002,6626268:6626607,6627098:6627268,6627945:6628481,6628987:6629183,6628989:6629252,6630852:6674014,6630932:6674630,6630935:6674772,6630939:6675105,6631065:6675081,6631069:6675482,6631193:6635139,6631477:6676524,6631489:6677132,6631492:6677217,6631967:6634382,6632585:6678216,6632660:6678577,6632663:6678660,6632714:6678769,6632787:6678688,6632877:6678960,6632881:6678988,6635669:', 'assoc_mat': '10844008:barquette_opaque:4211:10846065,10844009:barquette_opaque:4211:10845784,10844011:barquette_opaque:4211:10845552,10844012:barquette_opaque:4211:10845981,10844014:barquette_opaque:4211:10845176,10844016:barquette_opaque:4211:10845161,10844017:barquette_opaque:4211:10845129,10844018:barquette_opaque:4211:10844946,10844019:barquette_opaque:4211:10845048,10844020:barquette_opaque:4211:10844679,12107427:barquette_opaque:4211:12108055,12107429:barquette_opaque:4211:12107821,6600536:barquette_opaque:4211:6601433,6600544:barquette_opaque:4211:6600860,6600546:barquette_opaque:4211:6601023,6600551:barquette_opaque:4211:6600903,6601138:barquette_opaque:4211:6602593,6601649:barquette_opaque:4211:6602273,6602733:barquette_opaque:4211:6603403,6604399:barquette_opaque:4211:6608069,6605499:barquette_opaque:4211:6610653,6605688:barquette_opaque:4211:6606082,6606683:barquette_opaque:4211:6607689,6607839:barquette_opaque:4211:6608289,6609199:barquette_opaque:4211:6609462,6614199:barquette_opaque:4211:6614532,6614969:barq'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0009915902324084817, 'nb_photo': 5, 'list_port_cont': '6649286,6687459,6784020,6813915,6920756', 'assoc_port': '6631070:6649286,6686295:6687459,6782249:6784020,6813389:6813915,6920100:6920756', 'assoc_mat': '6631070:barquette_opaque:4200:6649286,6686295:barquette_opaque:4200:6687459,6782249:barquette_opaque:4200:6784020,6813389:barquette_opaque:4200:6813915,6920100:barquette_opaque:4200:6920756'}, {'unwanted_material': 'bouchon', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.002148587132747826, 'nb_photo': 2481, 'list_port_cont': '6601204,6601258,6601320,6601369,6601559,6601701,6601789,6601838,6602303,6603616,6603840,6603991,6604940,6606271,6606371,6607138,6607392,6607893,6608314,6608584,6608679,6608959,6609909,6610052,6610283,6610913,6611085,6613733,6614158,6615892,6616060,6616205,6616979,6617470,6617845,6618175,6618953,6620508,6620996,6621149,6621177,6621393,6621437,6621531,6622101,6622159,6622323,6622381,6622429,6622524,6622659,6622748,6626363,6626980,6626996,6627191,6627830,6628020,6628559,6628625,6629350,6629387,6635807,6635871,6635902,6635950,6635976,6636031,6636142,6636288,6636337,6636425,6636596,6636683,6636733,6636798,6637042,6637681,6637704,6637763,6637859,6637953,6637977,6638087,6638418,6638605,6638699,6638834,6638943,6638976,6639182,6639296,6639351,6639643,6639763,6639846,6639907,6639971,6640125,6640715,6640780,6640955,6641210,6641300,6641327,6641485,6641509,6641661,6641818,6641952,6642084,6642292,6643375,6643473,6643600,6643630,6643663,6643691,6643711,6643907,6644068,6644455,6644662,6645166,6645298,6645757,6647406,6648003,', 'assoc_port': '6600535:6601258,6600537:6601701,6600543:6601204,6600545:6601369,6600547:6601559,6600550:6601789,6600553:6601320,6601140:6602303,6601199:6601838,6602727:6603840,6602729:6603991,6602732:6603616,6604400:6604940,6604702:6606371,6605500:6606271,6605502:6607138,6606682:6608314,6606685:6607893,6606687:6607392,6607836:6608584,6607838:6608679,6608144:6608959,6609197:6610052,6609198:6609909,6609963:6610283,6610497:6611085,6610499:6610913,6612953:6613733,6613333:6614158,6614966:6616205,6614968:6616060,6615360:6615892,6616171:6616979,6616960:6618175,6616966:6617470,6616967:6617845,6618310:6618953,6620036:6620508,6620039:6621393,6620042:6620996,6620404:6621149,6620441:6621437,6620445:6621177,6620446:6621531,6621639:6622659,6621642:6622748,6621645:6622524,6621650:6622381,6621652:6622429,6621655:6622159,6621656:6622101,6621661:6622323,6625901:6626363,6626270:6626980,6626272:6626996,6626275:6627191,6627097:6627830,6627099:6628020,6627946:6628559,6627948:6628625,6628988:6629350,6628991:6629387,6630847:6635950,6630849:6636031,', 'assoc_mat': '6600535:bouchon:3327:6601258,6600537:bouchon:3327:6601701,6600543:bouchon:3327:6601204,6600545:bouchon:3327:6601369,6600547:bouchon:3327:6601559,6600550:bouchon:3327:6601789,6600553:bouchon:3327:6601320,6601140:bouchon:3327:6602303,6601199:bouchon:3327:6601838,6602727:bouchon:3327:6603840,6602729:bouchon:3327:6603991,6602732:bouchon:3327:6603616,6604400:bouchon:3327:6604940,6604702:bouchon:3327:6606371,6605500:bouchon:3327:6606271,6605502:bouchon:3327:6607138,6606682:bouchon:3327:6608314,6606685:bouchon:3327:6607893,6606687:bouchon:3327:6607392,6607836:bouchon:3327:6608584,6607838:bouchon:3327:6608679,6608144:bouchon:3327:6608959,6609197:bouchon:3327:6610052,6609198:bouchon:3327:6609909,6609963:bouchon:3327:6610283,6610497:bouchon:3327:6611085,6610499:bouchon:3327:6610913,6612953:bouchon:3327:6613733,6613333:bouchon:3327:6614158,6614966:bouchon:3327:6616205,6614968:bouchon:3327:6616060,6615360:bouchon:3327:6615892,6616171:bouchon:3327:6616979,6616960:bouchon:3327:6618175,6616966:bouchon:3327:6617470,6616967:b'}, {'unwanted_material': 'carton', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.015781843756573148, 'nb_photo': 1998, 'list_port_cont': '6603428,6608804,6618325,6624159,6627335,6634751,6634798,6660090,6698369,6704158,6712719,6720528,6723218,6723410,6735159,6735455,6741137,6754060,6761153,6768731,6775020,6780639,6799269,6800310,6801317,6806363,6808106,6808745,6810123,6812813,6822554,6826369,6834087,6838770,6846433,6852159,6863267,6865659,6869925,6876020,6924800,6930493,6940832,10844173', 'assoc_port': '10844025:10844173,6602731:6603428,6608146:6608804,6617603:6618325,6620405:6624159,6626721:6627335,6630937:6634751,6631483:6634798,6632879:6660090,6638160:6704158,6653521:6723218,6664117:6735455,6671808:6834087,6682068:6768731,6685476:6799269,6685991:6800310,6686304:6801317,6690887:6735159,6696473:6698369,6712332:6712719,6718634:6720528,6722813:6723410,6740022:6741137,6745199:6810123,6753416:6754060,6760133:6761153,6765566:6808745,6774410:6775020,6780026:6780639,6786466:6808106,6793236:6806363,6811950:6812813,6820599:6822554,6825858:6826369,6837012:6838770,6846007:6846433,6851650:6852159,6863104:6863267,6865559:6865659,6869544:6869925,6875674:6876020,6894306:6930493,6900378:6940832,6923650:6924800', 'assoc_mat': '10844025:carton:4203:10844173,6602731:carton:4203:6603428,6608146:carton:4203:6608804,6617603:carton:4203:6618325,6620405:carton:4203:6624159,6626721:carton:4203:6627335,6630937:carton:4203:6634751,6631483:carton:4203:6634798,6632879:carton:4203:6660090,6638160:carton:4203:6704158,6653521:carton:4203:6723218,6664117:carton:4203:6735455,6671808:carton:4203:6834087,6682068:carton:4203:6768731,6685476:carton:4203:6799269,6685991:carton:4203:6800310,6686304:carton:4203:6801317,6690887:carton:4203:6735159,6696473:carton:4203:6698369,6712332:carton:4203:6712719,6718634:carton:4203:6720528,6722813:carton:4203:6723410,6740022:carton:4203:6741137,6745199:carton:4203:6810123,6753416:carton:4203:6754060,6760133:carton:4203:6761153,6765566:carton:4203:6808745,6774410:carton:4203:6775020,6780026:carton:4203:6780639,6786466:carton:4203:6808106,6793236:carton:4203:6806363,6811950:carton:4203:6812813,6820599:carton:4203:6822554,6825858:carton:4203:6826369,6837012:carton:4203:6838770,6846007:carton:4203:6846433,6851650:carton'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.9743551532309155, 'nb_photo': 4, 'list_port_cont': '12107738,12108208', 'assoc_port': '12107419:12108208,12107426:12107738', 'assoc_mat': '12107419:carton:4207:12108208,12107426:carton:4207:12107738'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.004418352534261281, 'nb_photo': 161, 'list_port_cont': '6600769,6601467,6602156,6616727,6617535,6617707,6618976,6620415,6621476,6621927,6622071,6625405,6627053,6637137,6638503,6641082,6644340,6647280,6648123,6651932,6655484,6657576,6664017,6666562,6667513,6668138,6668212,6669002,6669287,6669404,6670447,6670556,6670902,6672181,6673400,6674363,6678083,6682353,6690824,6692905,6694179,6695453,6695907,6697455,6699015,6711039,6712083,6712246,6716814,6721878,6723683,6740491,6742328,6751444,6754763,6812438,6824357', 'assoc_port': '6600533:6601467,6600540:6602156,6600552:6600769,6616168:6616727,6616961:6617707,6616963:6617535,6618302:6618976,6620037:6620415,6620443:6621476,6621640:6622071,6621646:6621927,6625237:6625405,6626722:6627053,6631064:6666562,6631190:6668138,6631196:6668212,6631480:6669002,6631482:6669287,6631491:6669404,6632580:6670447,6632661:6670556,6632883:6670902,6633864:6637137,6638162:6638503,6638777:6644340,6640593:6641082,6646444:6647280,6647214:6648123,6650509:6651932,6654838:6655484,6656897:6657576,6663620:6664017,6664426:6667513,6671806:6672181,6672700:6673400,6673893:6674363,6677866:6678083,6681682:6682353,6682898:6690824,6685513:6697455,6688873:6699015,6691778:6692905,6692502:6694179,6694731:6695907,6694740:6695453,6709375:6711039,6710867:6712246,6711682:6712083,6716079:6716814,6721779:6721878,6723504:6723683,6739465:6742328,6740030:6740491,6741911:6754763,6750987:6751444,6811912:6812438,6823971:6824357', 'assoc_mat': '6600533:carton:4209:6601467,6600540:carton:4209:6602156,6600552:carton:4209:6600769,6616168:carton:4209:6616727,6616961:carton:4209:6617707,6616963:carton:4209:6617535,6618302:carton:4209:6618976,6620037:carton:4209:6620415,6620443:carton:4209:6621476,6621640:carton:4209:6622071,6621646:carton:4209:6621927,6625237:carton:4209:6625405,6626722:carton:4209:6627053,6631064:carton:4209:6666562,6631190:carton:4209:6668138,6631196:carton:4209:6668212,6631480:carton:4209:6669002,6631482:carton:4209:6669287,6631491:carton:4209:6669404,6632580:carton:4209:6670447,6632661:carton:4209:6670556,6632883:carton:4209:6670902,6633864:carton:4209:6637137,6638162:carton:4209:6638503,6638777:carton:4209:6644340,6640593:carton:4209:6641082,6646444:carton:4209:6647280,6647214:carton:4209:6648123,6650509:carton:4209:6651932,6654838:carton:4209:6655484,6656897:carton:4209:6657576,6663620:carton:4209:6664017,6664426:carton:4209:6667513,6671806:carton:4209:6672181,6672700:carton:4209:6673400,6673893:carton:4209:6674363,6677866:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0034360485265016666, 'nb_photo': 74, 'list_port_cont': '6846228,6863059,6869289,6886849,6890963,6894674,6908912,6914945,6920514,6922344,6960443,12107789,12108019,12108273,12108337,12108377,12108542,12108682,12151219', 'assoc_port': '12107418:12151219,12107420:12108682,12107421:12108542,12107422:12108377,12107424:12108273,12107425:12108337,12107428:12108019,12107430:12107789,6845636:6846228,6862271:6863059,6868823:6869289,6886556:6886849,6890813:6890963,6894304:6894674,6902262:6908912,6914405:6914945,6919130:6920514,6919131:6960443,6920918:6922344', 'assoc_mat': '12107418:carton:4209:12151219,12107420:carton:4209:12108682,12107421:carton:4209:12108542,12107422:carton:4209:12108377,12107424:carton:4209:12108273,12107425:carton:4209:12108337,12107428:carton:4209:12108019,12107430:carton:4209:12107789,6845636:carton:4209:6846228,6862271:carton:4209:6863059,6868823:carton:4209:6869289,6886556:carton:4209:6886849,6890813:carton:4209:6890963,6894304:carton:4209:6894674,6902262:carton:4209:6908912,6914405:carton:4209:6914945,6919130:carton:4209:6920514,6919131:carton:4209:6960443,6920918:carton:4209:6922344'}, {'unwanted_material': 'carton', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.7882882989748035, 'nb_photo': 99, 'list_port_cont': '6617257,6617678,6633558,6659532', 'assoc_port': '6616962:6617257,6616964:6617678,6631478:6633558,6652939:6659532', 'assoc_mat': '6616962:carton:4207:6617257,6616964:carton:4207:6617678,6631478:carton:4207:6633558,6652939:carton:4207:6659532'}, {'unwanted_material': 'carton', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.005541745404523602, 'nb_photo': 10072, 'list_port_cont': '6600862,6600896,6601025,6601432,6601509,6602274,6602602,6603017,6603405,6605885,6606079,6607679,6608062,6608285,6609455,6610403,6610610,6610646,6611147,6613688,6614029,6614524,6615392,6615433,6615557,6615807,6616523,6617433,6618778,6618919,6620209,6620333,6620915,6621055,6621679,6621959,6621994,6622138,6622194,6622460,6624060,6625559,6626610,6626645,6627278,6628471,6629181,6629246,6634380,6634648,6634846,6635132,6635839,6638277,6638440,6639151,6640998,6642060,6642703,6648971,6650047,6650147,6650271,6650967,6658510,6664044,6666448,6668089,6668177,6669622,6672030,6674022,6674547,6674632,6674763,6675077,6675104,6675135,6675473,6676026,6676537,6676625,6677127,6677221,6677812,6678043,6678220,6678576,6678652,6678765,6678931,6678963,6678994,6679223,6681249,6687137,6691499,6691652,6692287,6693204,6693679,6693897,6694010,6694038,6694216,6694416,6695511,6697512,6698426,6698766,6698791,6699371,6699423,6700624,6700657,6705442,6706626,6706767,6707236,6707810,6709732,6711227,6711402,6711481,6712143,6712484,6712643,6712742,', 'assoc_port': '10844008:10846058,10844009:10845786,10844010:10846035,10844011:10845555,10844012:10845974,10844013:10845417,10844014:10845188,10844015:10845076,10844016:10845159,10844017:10845134,10844018:10844944,10844019:10845036,10844020:10844680,10844021:10844446,12107423:12108311,12107427:12108078,12107429:12107832,6600536:6601432,6600541:6601509,6600544:6600862,6600546:6601025,6600551:6600896,6601138:6602602,6601649:6602274,6602728:6603017,6602733:6603405,6604399:6608062,6605499:6610646,6605503:6605885,6605688:6606079,6606683:6607679,6607835:6610403,6607839:6608285,6609199:6609455,6610498:6610610,6610992:6611147,6613334:6613688,6613876:6614029,6614199:6614524,6614967:6615392,6614969:6615433,6615340:6615557,6615362:6615807,6616173:6616523,6616982:6617433,6618307:6618778,6618311:6618919,6620038:6620209,6620040:6620333,6620422:6621679,6620444:6621055,6620447:6620915,6621638:6624060,6621643:6622460,6621647:6622194,6621651:6622138,6621654:6621959,6621659:6621994,6625236:6625559,6626268:6626610,6626274:6626645,6627098:662727', 'assoc_mat': '10844008:carton:4211:10846058,10844009:carton:4211:10845786,10844010:carton:4211:10846035,10844011:carton:4211:10845555,10844012:carton:4211:10845974,10844013:carton:4211:10845417,10844014:carton:4211:10845188,10844015:carton:4211:10845076,10844016:carton:4211:10845159,10844017:carton:4211:10845134,10844018:carton:4211:10844944,10844019:carton:4211:10845036,10844020:carton:4211:10844680,10844021:carton:4211:10844446,12107423:carton:4211:12108311,12107427:carton:4211:12108078,12107429:carton:4211:12107832,6600536:carton:4211:6601432,6600541:carton:4211:6601509,6600544:carton:4211:6600862,6600546:carton:4211:6601025,6600551:carton:4211:6600896,6601138:carton:4211:6602602,6601649:carton:4211:6602274,6602728:carton:4211:6603017,6602733:carton:4211:6603405,6604399:carton:4211:6608062,6605499:carton:4211:6610646,6605503:carton:4211:6605885,6605688:carton:4211:6606079,6606683:carton:4211:6607679,6607835:carton:4211:6610403,6607839:carton:4211:6608285,6609199:carton:4211:6609455,6610498:carton:4211:6610610,6610992:ca'}, {'unwanted_material': 'carton', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.021265796174868765, 'nb_photo': 11055, 'list_port_cont': '6601215,6601254,6601311,6601365,6601560,6601690,6601782,6601848,6602311,6603606,6603844,6603989,6604932,6606278,6606384,6607129,6607398,6607888,6608321,6608587,6608682,6608971,6609916,6610055,6610284,6610912,6611077,6613728,6614151,6615888,6616062,6616202,6616976,6617459,6617851,6618180,6618944,6620516,6620989,6621115,6621137,6621173,6621387,6621436,6621535,6622109,6622160,6622315,6622373,6622427,6622513,6622655,6622753,6626373,6626971,6627002,6627199,6627839,6628013,6628560,6628619,6629361,6629384,6635813,6635874,6635895,6635941,6635971,6636033,6636118,6636148,6636296,6636333,6636418,6636592,6636681,6636726,6636802,6637043,6637688,6637712,6637762,6637860,6637949,6637973,6638091,6638425,6638595,6638701,6638837,6638945,6638981,6639192,6639297,6639349,6639651,6639755,6639845,6639906,6639972,6640117,6640719,6640754,6640781,6640958,6641217,6641305,6641322,6641489,6641514,6641657,6641813,6641946,6642029,6642085,6642288,6643238,6643376,6643471,6643599,6643635,6643658,6643688,6643713,6643897,6644067,6644460,6644654,', 'assoc_port': '6600535:6601254,6600537:6601690,6600543:6601215,6600545:6601365,6600547:6601560,6600550:6601782,6600553:6601311,6601140:6602311,6601199:6601848,6602727:6603844,6602729:6603989,6602732:6603606,6604400:6604932,6604702:6606384,6605500:6606278,6605502:6607129,6606682:6608321,6606685:6607888,6606687:6607398,6607836:6608587,6607838:6608682,6608144:6608971,6609197:6610055,6609198:6609916,6609963:6610284,6610497:6611077,6610499:6610912,6612953:6613728,6613333:6614151,6614966:6616202,6614968:6616062,6615360:6615888,6616171:6616976,6616960:6618180,6616966:6617459,6616967:6617851,6618310:6618944,6620036:6620516,6620039:6621387,6620042:6620989,6620404:6621137,6620441:6621436,6620445:6621173,6620446:6621535,6620449:6621115,6621639:6622655,6621642:6622753,6621645:6622513,6621650:6622373,6621652:6622427,6621655:6622160,6621656:6622109,6621661:6622315,6625901:6626373,6626270:6626971,6626272:6627002,6626275:6627199,6627097:6627839,6627099:6628013,6627946:6628560,6627948:6628619,6628988:6629361,6628991:6629384,6630847:6635941,', 'assoc_mat': '6600535:carton:3327:6601254,6600537:carton:3327:6601690,6600543:carton:3327:6601215,6600545:carton:3327:6601365,6600547:carton:3327:6601560,6600550:carton:3327:6601782,6600553:carton:3327:6601311,6601140:carton:3327:6602311,6601199:carton:3327:6601848,6602727:carton:3327:6603844,6602729:carton:3327:6603989,6602732:carton:3327:6603606,6604400:carton:3327:6604932,6604702:carton:3327:6606384,6605500:carton:3327:6606278,6605502:carton:3327:6607129,6606682:carton:3327:6608321,6606685:carton:3327:6607888,6606687:carton:3327:6607398,6607836:carton:3327:6608587,6607838:carton:3327:6608682,6608144:carton:3327:6608971,6609197:carton:3327:6610055,6609198:carton:3327:6609916,6609963:carton:3327:6610284,6610497:carton:3327:6611077,6610499:carton:3327:6610912,6612953:carton:3327:6613728,6613333:carton:3327:6614151,6614966:carton:3327:6616202,6614968:carton:3327:6616062,6615360:carton:3327:6615888,6616171:carton:3327:6616976,6616960:carton:3327:6618180,6616966:carton:3327:6617459,6616967:carton:3327:6617851,6618310:carton:3'}, {'unwanted_material': 'carton', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0030077102589759186, 'nb_photo': 188, 'list_port_cont': '6600928,6602053,6613067,6615617,6620856,6626789,6634257,6637078,6637444,6638372,6639234,6641575,6646017,6647334,6649471,6649914,6653437,6654689,6655701,6658478,6662382,6670056,6672616,6674513,6683667,6684475,6687238,6687457,6696453,6696810,6698452,6711567,6712284,6712773,6714498,6717605,6719822,6720209,6720249,6720369,6721251,6722524,6740808,6745523,6745785,6750251,6754193,6754563,6765279,6766693,6780395,6780519,6784030,6786852,6788641,6791341,6793689,6795536,6817651,6821378,6824090,6835185,6836549,6840202,6849237,6852379,6854531,6859034,6862722,6865777,6866323,6867980,6869264,6874412,6875751,6875979,6882733,6886815,6888107,6889496,6902501,6904840,6914439,6920752,6921621,6924262', 'assoc_port': '6600538:6600928,6601136:6602053,6612632:6613067,6615365:6615617,6620439:6620856,6626271:6626789,6630848:6646017,6631186:6634257,6631194:6649914,6631961:6655701,6632583:6662382,6632966:6670056,6635673:6637444,6635681:6637078,6637843:6638372,6638774:6639234,6641286:6641575,6646447:6647334,6648940:6649471,6650951:6653437,6654041:6654689,6657889:6658478,6671809:6672616,6673895:6674513,6681680:6683667,6683618:6684475,6685440:6720369,6685511:6720209,6686027:6719822,6686295:6687457,6686312:6687238,6688871:6714498,6690894:6698452,6693641:6696453,6696476:6696810,6710860:6711567,6711680:6712284,6712324:6712773,6716688:6717605,6718843:6720249,6720803:6721251,6722354:6722524,6740018:6740808,6740709:6745523,6744268:6745785,6748062:6750251,6753406:6754563,6753419:6754193,6764848:6765279,6765563:6766693,6779977:6780519,6780017:6780395,6782249:6784030,6786463:6786852,6787690:6788641,6790918:6791341,6793238:6793689,6795258:6795536,6817300:6817651,6820776:6821378,6823753:6824090,6833510:6835185,6835942:6836549,6839793:6840202,', 'assoc_mat': '6600538:carton:4200:6600928,6601136:carton:4200:6602053,6612632:carton:4200:6613067,6615365:carton:4200:6615617,6620439:carton:4200:6620856,6626271:carton:4200:6626789,6630848:carton:4200:6646017,6631186:carton:4200:6634257,6631194:carton:4200:6649914,6631961:carton:4200:6655701,6632583:carton:4200:6662382,6632966:carton:4200:6670056,6635673:carton:4200:6637444,6635681:carton:4200:6637078,6637843:carton:4200:6638372,6638774:carton:4200:6639234,6641286:carton:4200:6641575,6646447:carton:4200:6647334,6648940:carton:4200:6649471,6650951:carton:4200:6653437,6654041:carton:4200:6654689,6657889:carton:4200:6658478,6671809:carton:4200:6672616,6673895:carton:4200:6674513,6681680:carton:4200:6683667,6683618:carton:4200:6684475,6685440:carton:4200:6720369,6685511:carton:4200:6720209,6686027:carton:4200:6719822,6686295:carton:4200:6687457,6686312:carton:4200:6687238,6688871:carton:4200:6714498,6690894:carton:4200:6698452,6693641:carton:4200:6696453,6696476:carton:4200:6696810,6710860:carton:4200:6711567,6711680:carton:4'}, {'unwanted_material': 'ela', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.9213990406858268, 'nb_photo': 851, 'list_port_cont': '6603436,6608816,6618318,6624164,6627339,6634755,6634797,6660094,6660517,6698372,6704166,6712720,6720539,6723233,6723408,6735149,6735451,6741141,6754061,6761154,6768736,6775025,6780642,6799277,6800318,6801314,6806353,6808104,6808746,6810130,6812814,6822548,6826377,6834092,6838771,6846432,6852158,6863258,6865673,6869916,6876021,6930479,6940847,10844172', 'assoc_port': '10844025:10844172,6602731:6603436,6608146:6608816,6617603:6618318,6620405:6624164,6626721:6627339,6630937:6634755,6631483:6634797,6631962:6660517,6632879:6660094,6638160:6704166,6653521:6723233,6664117:6735451,6671808:6834092,6682068:6768736,6685476:6799277,6685991:6800318,6686304:6801314,6690887:6735149,6696473:6698372,6712332:6712720,6718634:6720539,6722813:6723408,6740022:6741141,6745199:6810130,6753416:6754061,6760133:6761154,6765566:6808746,6774410:6775025,6780026:6780642,6786466:6808104,6793236:6806353,6811950:6812814,6820599:6822548,6825858:6826377,6837012:6838771,6846007:6846432,6851650:6852158,6863104:6863258,6865559:6865673,6869544:6869916,6875674:6876021,6894306:6930479,6900378:6940847', 'assoc_mat': '10844025:ela:4203:10844172,6602731:ela:4203:6603436,6608146:ela:4203:6608816,6617603:ela:4203:6618318,6620405:ela:4203:6624164,6626721:ela:4203:6627339,6630937:ela:4203:6634755,6631483:ela:4203:6634797,6631962:ela:4203:6660517,6632879:ela:4203:6660094,6638160:ela:4203:6704166,6653521:ela:4203:6723233,6664117:ela:4203:6735451,6671808:ela:4203:6834092,6682068:ela:4203:6768736,6685476:ela:4203:6799277,6685991:ela:4203:6800318,6686304:ela:4203:6801314,6690887:ela:4203:6735149,6696473:ela:4203:6698372,6712332:ela:4203:6712720,6718634:ela:4203:6720539,6722813:ela:4203:6723408,6740022:ela:4203:6741141,6745199:ela:4203:6810130,6753416:ela:4203:6754061,6760133:ela:4203:6761154,6765566:ela:4203:6808746,6774410:ela:4203:6775025,6780026:ela:4203:6780642,6786466:ela:4203:6808104,6793236:ela:4203:6806353,6811950:ela:4203:6812814,6820599:ela:4203:6822548,6825858:ela:4203:6826377,6837012:ela:4203:6838771,6846007:ela:4203:6846432,6851650:ela:4203:6852158,6863104:ela:4203:6863258,6865559:ela:4203:6865673,6869544:ela:4203:68699'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0007116836898320703, 'nb_photo': 13, 'list_port_cont': '6622066,6638510,6668140,6674367,6682359,6692900,6699027,6751454,6812448', 'assoc_port': '6621640:6622066,6631190:6668140,6638162:6638510,6673893:6674367,6681682:6682359,6688873:6699027,6691778:6692900,6750987:6751454,6811912:6812448', 'assoc_mat': '6621640:ela:4209:6622066,6631190:ela:4209:6668140,6638162:ela:4209:6638510,6673893:ela:4209:6674367,6681682:ela:4209:6682359,6688873:ela:4209:6699027,6691778:ela:4209:6692900,6750987:ela:4209:6751454,6811912:ela:4209:6812448'}, {'unwanted_material': 'ela', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.00032398461757896294, 'nb_photo': 4, 'list_port_cont': '6846232,6863050,6869299,6922346', 'assoc_port': '6845636:6846232,6862271:6863050,6868823:6869299,6920918:6922346', 'assoc_mat': '6845636:ela:4209:6846232,6862271:ela:4209:6863050,6868823:ela:4209:6869299,6920918:ela:4209:6922346'}, {'unwanted_material': 'ela', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.00015698953627416628, 'nb_photo': 147, 'list_port_cont': '6606078,6610614,6610650,6611153,6618777,6621995,6624051,6626615,6629238,6634390,6638443,6650283,6668181,6674761,6676619,6687148,6691488,6692283,6693901,6697509,6698420,6712139,6712495,6712638,6713763,6714406,6719444,6721923,6723047,6725696,6725822,6730328,6732327,6732432,6735373,6735646,6743245,6748843,6752335,6753734,6754131,6754280,6755113,6756969,6757867,6757971,6759593,6762164,6768398,6778929,6780252,6780740,6780892,6784776,6785335,6790082,6794260,6795576,6797595,6799113,6799411,6799545,6799693,6800458,6800536,6800674,6800830,6808649,6808671,6808798,6809166,6810011,6810258,6812213,6835747,6840031,6842616,6854223,6855219,6855451,6869220,6889386,6889562,6917712,6920224,6922983,6961422,10844945,10845415,10846062,12107826', 'assoc_port': '10844008:10846062,10844013:10845415,10844018:10844945,12107429:12107826,6605499:6610650,6605688:6606078,6610498:6610614,6610992:6611153,6618307:6618777,6621638:6624051,6621659:6621995,6626268:6626615,6628989:6629238,6630935:6674761,6631484:6676619,6631967:6634390,6635671:6693901,6638161:6638443,6649833:6650283,6653520:6723047,6653523:6725696,6654837:6725822,6663625:6735646,6666361:6668181,6671801:6755113,6683616:6790082,6683620:6691488,6685431:6799113,6685484:6854223,6685489:6799411,6685506:6799545,6685519:6799693,6685533:6697509,6686006:6855219,6686021:6855451,6686031:6800458,6686094:6800536,6686289:6800674,6686298:6800830,6686321:6687148,6688870:6732432,6688875:6732327,6690891:6735373,6691780:6730328,6691869:6692283,6696477:6698420,6710862:6713763,6711681:6712139,6711684:6714406,6712328:6712638,6712336:6712495,6718636:6719444,6721635:6721923,6738742:6810258,6740001:6752335,6740031:6743245,6743340:6757867,6748058:6810011,6748061:6748843,6748064:6756969,6753412:6754131,6753415:6754280,6753418:6753734,6757493:', 'assoc_mat': '10844008:ela:4211:10846062,10844013:ela:4211:10845415,10844018:ela:4211:10844945,12107429:ela:4211:12107826,6605499:ela:4211:6610650,6605688:ela:4211:6606078,6610498:ela:4211:6610614,6610992:ela:4211:6611153,6618307:ela:4211:6618777,6621638:ela:4211:6624051,6621659:ela:4211:6621995,6626268:ela:4211:6626615,6628989:ela:4211:6629238,6630935:ela:4211:6674761,6631484:ela:4211:6676619,6631967:ela:4211:6634390,6635671:ela:4211:6693901,6638161:ela:4211:6638443,6649833:ela:4211:6650283,6653520:ela:4211:6723047,6653523:ela:4211:6725696,6654837:ela:4211:6725822,6663625:ela:4211:6735646,6666361:ela:4211:6668181,6671801:ela:4211:6755113,6683616:ela:4211:6790082,6683620:ela:4211:6691488,6685431:ela:4211:6799113,6685484:ela:4211:6854223,6685489:ela:4211:6799411,6685506:ela:4211:6799545,6685519:ela:4211:6799693,6685533:ela:4211:6697509,6686006:ela:4211:6855219,6686021:ela:4211:6855451,6686031:ela:4211:6800458,6686094:ela:4211:6800536,6686289:ela:4211:6800674,6686298:ela:4211:6800830,6686321:ela:4211:6687148,6688870:ela:4211'}, {'unwanted_material': 'ela', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0010348878985054983, 'nb_photo': 35, 'list_port_cont': '6604882,6609168,6620173,6628355,6637450,6641567,6654693,6665190,6684476,6719824,6754201,6754550,6780397,6797660,6813919,6835187,6842436,6852373,6859023,6862721,6866325,6867974,6875989,6888099,6895293,6920760', 'assoc_port': '6604397:6604882,6608145:6609168,6620043:6620173,6627944:6628355,6635673:6637450,6641286:6641567,6654041:6654693,6664429:6665190,6683618:6684476,6686027:6719824,6753406:6754550,6753419:6754201,6780017:6780397,6797266:6797660,6813389:6813919,6833510:6835187,6842061:6842436,6852123:6852373,6858797:6859023,6862270:6862721,6865552:6866325,6867749:6867974,6875675:6875989,6887861:6888099,6894305:6895293,6920100:6920760', 'assoc_mat': '6604397:ela:4200:6604882,6608145:ela:4200:6609168,6620043:ela:4200:6620173,6627944:ela:4200:6628355,6635673:ela:4200:6637450,6641286:ela:4200:6641567,6654041:ela:4200:6654693,6664429:ela:4200:6665190,6683618:ela:4200:6684476,6686027:ela:4200:6719824,6753406:ela:4200:6754550,6753419:ela:4200:6754201,6780017:ela:4200:6780397,6797266:ela:4200:6797660,6813389:ela:4200:6813919,6833510:ela:4200:6835187,6842061:ela:4200:6842436,6852123:ela:4200:6852373,6858797:ela:4200:6859023,6862270:ela:4200:6862721,6865552:ela:4200:6866325,6867749:ela:4200:6867974,6875675:ela:4200:6875989,6887861:ela:4200:6888099,6894305:ela:4200:6895293,6920100:ela:4200:6920760'}, {'unwanted_material': 'etiquette', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.00021900090159665767, 'nb_photo': 78, 'list_port_cont': '6603427,6608805,6624167,6634748,6634790,6660096,6698374,6704172,6712723,6720540,6723232,6723415,6735146,6741134,6754075,6761156,6775024,6780647,6799267,6800315,6801318,6806348,6808094,6808744,6810125,6822562,6826365,6834101,6838767,6852166,6863265,6865664,6869922,6876013,6930484,10844168', 'assoc_port': '10844025:10844168,6602731:6603427,6608146:6608805,6620405:6624167,6630937:6634748,6631483:6634790,6632879:6660096,6638160:6704172,6653521:6723232,6671808:6834101,6685476:6799267,6685991:6800315,6686304:6801318,6690887:6735146,6696473:6698374,6712332:6712723,6718634:6720540,6722813:6723415,6740022:6741134,6745199:6810125,6753416:6754075,6760133:6761156,6765566:6808744,6774410:6775024,6780026:6780647,6786466:6808094,6793236:6806348,6820599:6822562,6825858:6826365,6837012:6838767,6851650:6852166,6863104:6863265,6865559:6865664,6869544:6869922,6875674:6876013,6894306:6930484', 'assoc_mat': '10844025:etiquette:4203:10844168,6602731:etiquette:4203:6603427,6608146:etiquette:4203:6608805,6620405:etiquette:4203:6624167,6630937:etiquette:4203:6634748,6631483:etiquette:4203:6634790,6632879:etiquette:4203:6660096,6638160:etiquette:4203:6704172,6653521:etiquette:4203:6723232,6671808:etiquette:4203:6834101,6685476:etiquette:4203:6799267,6685991:etiquette:4203:6800315,6686304:etiquette:4203:6801318,6690887:etiquette:4203:6735146,6696473:etiquette:4203:6698374,6712332:etiquette:4203:6712723,6718634:etiquette:4203:6720540,6722813:etiquette:4203:6723415,6740022:etiquette:4203:6741134,6745199:etiquette:4203:6810125,6753416:etiquette:4203:6754075,6760133:etiquette:4203:6761156,6765566:etiquette:4203:6808744,6774410:etiquette:4203:6775024,6780026:etiquette:4203:6780647,6786466:etiquette:4203:6808094,6793236:etiquette:4203:6806348,6820599:etiquette:4203:6822562,6825858:etiquette:4203:6826365,6837012:etiquette:4203:6838767,6851650:etiquette:4203:6852166,6863104:etiquette:4203:6863265,6865559:etiquette:4203:6865664'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.00030922441233135133, 'nb_photo': 45, 'list_port_cont': '6600778,6617522,6618983,6620411,6621477,6621941,6625401,6641076,6647266,6648129,6651936,6667511,6669411,6670890,6672171,6673397,6674364,6678090,6682348,6690825,6695447,6695912,6697467,6699022,6711044,6712233,6723686,6740487,6742318,6751446,6754766', 'assoc_port': '6600552:6600778,6616963:6617522,6618302:6618983,6620037:6620411,6620443:6621477,6621646:6621941,6625237:6625401,6631491:6669411,6632883:6670890,6640593:6641076,6646444:6647266,6647214:6648129,6650509:6651936,6664426:6667511,6671806:6672171,6672700:6673397,6673893:6674364,6677866:6678090,6681682:6682348,6682898:6690825,6685513:6697467,6688873:6699022,6694731:6695912,6694740:6695447,6709375:6711044,6710867:6712233,6723504:6723686,6739465:6742318,6740030:6740487,6741911:6754766,6750987:6751446', 'assoc_mat': '6600552:etiquette:4209:6600778,6616963:etiquette:4209:6617522,6618302:etiquette:4209:6618983,6620037:etiquette:4209:6620411,6620443:etiquette:4209:6621477,6621646:etiquette:4209:6621941,6625237:etiquette:4209:6625401,6631491:etiquette:4209:6669411,6632883:etiquette:4209:6670890,6640593:etiquette:4209:6641076,6646444:etiquette:4209:6647266,6647214:etiquette:4209:6648129,6650509:etiquette:4209:6651936,6664426:etiquette:4209:6667511,6671806:etiquette:4209:6672171,6672700:etiquette:4209:6673397,6673893:etiquette:4209:6674364,6677866:etiquette:4209:6678090,6681682:etiquette:4209:6682348,6682898:etiquette:4209:6690825,6685513:etiquette:4209:6697467,6688873:etiquette:4209:6699022,6694731:etiquette:4209:6695912,6694740:etiquette:4209:6695447,6709375:etiquette:4209:6711044,6710867:etiquette:4209:6712233,6723504:etiquette:4209:6723686,6739465:etiquette:4209:6742318,6740030:etiquette:4209:6740487,6741911:etiquette:4209:6754766,6750987:etiquette:4209:6751446'}, {'unwanted_material': 'etiquette', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.00022776236187163268, 'nb_photo': 13, 'list_port_cont': '6869297,6890964,6908904,6960438,12108034,12108669', 'assoc_port': '12107420:12108669,12107428:12108034,6868823:6869297,6890813:6890964,6902262:6908904,6919131:6960438', 'assoc_mat': '12107420:etiquette:4209:12108669,12107428:etiquette:4209:12108034,6868823:etiquette:4209:6869297,6890813:etiquette:4209:6890964,6902262:etiquette:4209:6908904,6919131:etiquette:4209:6960438'}, {'unwanted_material': 'etiquette', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 9.761859113588492e-05, 'nb_photo': 731, 'list_port_cont': '6600902,6602270,6608065,6608287,6609459,6610411,6610617,6611154,6614525,6615396,6615423,6615803,6617425,6620339,6620925,6621056,6621665,6621973,6621996,6622127,6622201,6622459,6624053,6625563,6628477,6634393,6634662,6634854,6635143,6635844,6639158,6640993,6650044,6650156,6650281,6658498,6664049,6666450,6669614,6672026,6674393,6674548,6674635,6674760,6675108,6675142,6675485,6676526,6676614,6677128,6677225,6677804,6678044,6678223,6678571,6678768,6678969,6679218,6681248,6687147,6691498,6691665,6692288,6694047,6694207,6694414,6695513,6697508,6698432,6698802,6699435,6700656,6705444,6706636,6706768,6707239,6707826,6709730,6711224,6711404,6711483,6712141,6712483,6712632,6712743,6713443,6713604,6713764,6714402,6716469,6716553,6717496,6717550,6718035,6718534,6719031,6719449,6719733,6720659,6721132,6721831,6722611,6722685,6723046,6723113,6723251,6723786,6724921,6724969,6725105,6725687,6729864,6730275,6730327,6730721,6731860,6732320,6732438,6735374,6735654,6738119,6740200,6740600,6741082,6741932,6743253,6743387,6743591,', 'assoc_port': '10844009:10845795,10844011:10845547,10844012:10845968,10844014:10845181,10844016:10845171,10844017:10845140,10844018:10844947,10844019:10845034,10844020:10844676,10844021:10844452,12107427:12108051,12107429:12107825,6600551:6600902,6601649:6602270,6604399:6608065,6607835:6610411,6607839:6608287,6609199:6609459,6610498:6610617,6610992:6611154,6614199:6614525,6614967:6615396,6614969:6615423,6615362:6615803,6616982:6617425,6620040:6620339,6620422:6621665,6620444:6621056,6620447:6620925,6621638:6624053,6621643:6622459,6621647:6622201,6621651:6622127,6621654:6621973,6621659:6621996,6625236:6625563,6627945:6628477,6630850:6634854,6630856:6634662,6630932:6674635,6630935:6674760,6630939:6675108,6631069:6675485,6631193:6635143,6631477:6676526,6631484:6676614,6631489:6677128,6631492:6677225,6631960:6677804,6631967:6634393,6632585:6678223,6632660:6678571,6632714:6678768,6632877:6678969,6632963:6679218,6633862:6635844,6635676:6694047,6635682:6694207,6637840:6700656,6638773:6705444,6638776:6639158,6640587:6706636,6640590:', 'assoc_mat': '10844009:etiquette:4211:10845795,10844011:etiquette:4211:10845547,10844012:etiquette:4211:10845968,10844014:etiquette:4211:10845181,10844016:etiquette:4211:10845171,10844017:etiquette:4211:10845140,10844018:etiquette:4211:10844947,10844019:etiquette:4211:10845034,10844020:etiquette:4211:10844676,10844021:etiquette:4211:10844452,12107427:etiquette:4211:12108051,12107429:etiquette:4211:12107825,6600551:etiquette:4211:6600902,6601649:etiquette:4211:6602270,6604399:etiquette:4211:6608065,6607835:etiquette:4211:6610411,6607839:etiquette:4211:6608287,6609199:etiquette:4211:6609459,6610498:etiquette:4211:6610617,6610992:etiquette:4211:6611154,6614199:etiquette:4211:6614525,6614967:etiquette:4211:6615396,6614969:etiquette:4211:6615423,6615362:etiquette:4211:6615803,6616982:etiquette:4211:6617425,6620040:etiquette:4211:6620339,6620422:etiquette:4211:6621665,6620444:etiquette:4211:6621056,6620447:etiquette:4211:6620925,6621638:etiquette:4211:6624053,6621643:etiquette:4211:6622459,6621647:etiquette:4211:6622201,6621651:'}, {'unwanted_material': 'etiquette', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.004348080716206635, 'nb_photo': 2177, 'list_port_cont': '6601212,6601260,6601313,6601368,6601566,6601697,6601794,6601839,6602310,6603617,6603847,6603990,6604929,6606281,6606358,6607128,6607393,6607886,6608319,6608595,6609912,6610053,6610275,6610911,6611081,6613732,6614155,6615891,6616068,6616203,6616981,6617464,6617847,6618173,6618943,6620503,6620995,6621113,6621139,6621170,6621386,6621441,6621536,6622158,6622312,6622433,6622517,6622652,6622759,6626361,6626978,6626999,6627195,6627832,6628014,6628554,6628614,6629363,6629389,6635808,6635870,6635898,6635951,6635977,6636117,6636143,6636289,6636331,6636428,6636605,6636678,6636737,6636797,6637045,6637679,6637710,6637767,6637948,6637983,6638086,6638422,6638600,6638706,6638840,6638940,6638970,6639190,6639289,6639354,6639650,6639754,6639847,6639897,6639975,6640120,6640716,6640750,6640777,6640954,6641212,6641304,6641334,6641488,6641517,6641651,6641811,6641945,6642027,6642087,6642291,6643242,6643378,6643477,6643637,6643657,6643690,6643720,6643900,6644076,6644462,6644664,6645167,6645306,6645763,6648004,6648352,6648373,6649645,', 'assoc_port': '6600535:6601260,6600537:6601697,6600543:6601212,6600545:6601368,6600547:6601566,6600550:6601794,6600553:6601313,6601140:6602310,6601199:6601839,6602727:6603847,6602729:6603990,6602732:6603617,6604400:6604929,6604702:6606358,6605500:6606281,6605502:6607128,6606682:6608319,6606685:6607886,6606687:6607393,6607836:6608595,6609197:6610053,6609198:6609912,6609963:6610275,6610497:6611081,6610499:6610911,6612953:6613732,6613333:6614155,6614966:6616203,6614968:6616068,6615360:6615891,6616171:6616981,6616960:6618173,6616966:6617464,6616967:6617847,6618310:6618943,6620036:6620503,6620039:6621386,6620042:6620995,6620404:6621139,6620441:6621441,6620445:6621170,6620446:6621536,6620449:6621113,6621639:6622652,6621642:6622759,6621645:6622517,6621652:6622433,6621655:6622158,6621661:6622312,6625901:6626361,6626270:6626978,6626272:6626999,6626275:6627195,6627097:6627832,6627099:6628014,6627946:6628554,6627948:6628614,6628988:6629363,6628991:6629389,6630847:6635951,6630851:6635977,6630853:6636678,6630854:6637679,6630934:6637767,', 'assoc_mat': '6600535:etiquette:3327:6601260,6600537:etiquette:3327:6601697,6600543:etiquette:3327:6601212,6600545:etiquette:3327:6601368,6600547:etiquette:3327:6601566,6600550:etiquette:3327:6601794,6600553:etiquette:3327:6601313,6601140:etiquette:3327:6602310,6601199:etiquette:3327:6601839,6602727:etiquette:3327:6603847,6602729:etiquette:3327:6603990,6602732:etiquette:3327:6603617,6604400:etiquette:3327:6604929,6604702:etiquette:3327:6606358,6605500:etiquette:3327:6606281,6605502:etiquette:3327:6607128,6606682:etiquette:3327:6608319,6606685:etiquette:3327:6607886,6606687:etiquette:3327:6607393,6607836:etiquette:3327:6608595,6609197:etiquette:3327:6610053,6609198:etiquette:3327:6609912,6609963:etiquette:3327:6610275,6610497:etiquette:3327:6611081,6610499:etiquette:3327:6610911,6612953:etiquette:3327:6613732,6613333:etiquette:3327:6614155,6614966:etiquette:3327:6616203,6614968:etiquette:3327:6616068,6615360:etiquette:3327:6615891,6616171:etiquette:3327:6616981,6616960:etiquette:3327:6618173,6616966:etiquette:3327:6617464,6'}, {'unwanted_material': 'etiquette', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.00042222109924499836, 'nb_photo': 28, 'list_port_cont': '6613076,6621900,6635395,6637437,6638359,6641572,6654692,6665194,6669586,6670051,6686808,6687472,6714497,6717610,6719817,6745800,6765266,6766701,6780408,6780724,6797654,6836540,6840198,6865778,6874405,6886806,6902498,6904836', 'assoc_port': '6612632:6613076,6621653:6621900,6632786:6635395,6632966:6670051,6635673:6637437,6637843:6638359,6641286:6641572,6654041:6654692,6664429:6665194,6668950:6669586,6686027:6719817,6686295:6687472,6686325:6686808,6688871:6714497,6716688:6717610,6744268:6745800,6764848:6765266,6765563:6766701,6779960:6780724,6780017:6780408,6797266:6797654,6835942:6836540,6839793:6840198,6865562:6865778,6873774:6874405,6886550:6886806,6899435:6902498,6904395:6904836', 'assoc_mat': '6612632:etiquette:4200:6613076,6621653:etiquette:4200:6621900,6632786:etiquette:4200:6635395,6632966:etiquette:4200:6670051,6635673:etiquette:4200:6637437,6637843:etiquette:4200:6638359,6641286:etiquette:4200:6641572,6654041:etiquette:4200:6654692,6664429:etiquette:4200:6665194,6668950:etiquette:4200:6669586,6686027:etiquette:4200:6719817,6686295:etiquette:4200:6687472,6686325:etiquette:4200:6686808,6688871:etiquette:4200:6714497,6716688:etiquette:4200:6717610,6744268:etiquette:4200:6745800,6764848:etiquette:4200:6765266,6765563:etiquette:4200:6766701,6779960:etiquette:4200:6780724,6780017:etiquette:4200:6780408,6797266:etiquette:4200:6797654,6835942:etiquette:4200:6836540,6839793:etiquette:4200:6840198,6865562:etiquette:4200:6865778,6873774:etiquette:4200:6874405,6886550:etiquette:4200:6886806,6899435:etiquette:4200:6902498,6904395:etiquette:4200:6904836'}, {'unwanted_material': 'film_plastique', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0010375570916267033, 'nb_photo': 51, 'list_port_cont': '6603435,6618321,6624160,6627326,6698377,6704173,6723230,6735453,6741145,6754070,6761155,6768723,6775026,6780641,6799270,6800313,6801310,6808096,6810127,6822556,6826374,6834088,6838769,6846429,6852169,6869926,6876022,6930487,6940833', 'assoc_port': '6602731:6603435,6617603:6618321,6620405:6624160,6626721:6627326,6638160:6704173,6653521:6723230,6664117:6735453,6671808:6834088,6682068:6768723,6685476:6799270,6685991:6800313,6686304:6801310,6696473:6698377,6740022:6741145,6745199:6810127,6753416:6754070,6760133:6761155,6774410:6775026,6780026:6780641,6786466:6808096,6820599:6822556,6825858:6826374,6837012:6838769,6846007:6846429,6851650:6852169,6869544:6869926,6875674:6876022,6894306:6930487,6900378:6940833', 'assoc_mat': '6602731:film_plastique:4203:6603435,6617603:film_plastique:4203:6618321,6620405:film_plastique:4203:6624160,6626721:film_plastique:4203:6627326,6638160:film_plastique:4203:6704173,6653521:film_plastique:4203:6723230,6664117:film_plastique:4203:6735453,6671808:film_plastique:4203:6834088,6682068:film_plastique:4203:6768723,6685476:film_plastique:4203:6799270,6685991:film_plastique:4203:6800313,6686304:film_plastique:4203:6801310,6696473:film_plastique:4203:6698377,6740022:film_plastique:4203:6741145,6745199:film_plastique:4203:6810127,6753416:film_plastique:4203:6754070,6760133:film_plastique:4203:6761155,6774410:film_plastique:4203:6775026,6780026:film_plastique:4203:6780641,6786466:film_plastique:4203:6808096,6820599:film_plastique:4203:6822556,6825858:film_plastique:4203:6826374,6837012:film_plastique:4203:6838769,6846007:film_plastique:4203:6846429,6851650:film_plastique:4203:6852169,6869544:film_plastique:4203:6869926,6875674:film_plastique:4203:6876022,6894306:film_plastique:4203:6930487,6900378:film_pla'}, {'unwanted_material': 'film_plastique', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0024536770792147593, 'nb_photo': 69, 'list_port_cont': '6600779,6602159,6617705,6618987,6620421,6620776,6621929,6622078,6627041,6638509,6641074,6648120,6655495,6664009,6667518,6668136,6668210,6670551,6670887,6672176,6673393,6674366,6678097,6690827,6692895,6694182,6695921,6697464,6699019,6712090,6712235,6716808,6721888,6723150,6723675,6724773,6740489,6742332,6751452,6824345', 'assoc_port': '6600540:6602159,6600552:6600779,6616961:6617705,6618302:6618987,6620037:6620421,6620448:6620776,6621640:6622078,6621646:6621929,6626722:6627041,6631190:6668136,6631196:6668210,6632661:6670551,6632883:6670887,6638162:6638509,6640593:6641074,6647214:6648120,6654838:6655495,6663620:6664009,6664426:6667518,6671806:6672176,6672700:6673393,6673893:6674366,6677866:6678097,6682898:6690827,6685513:6697464,6688873:6699019,6691778:6692895,6692502:6694182,6694731:6695921,6710867:6712235,6711682:6712090,6716079:6716808,6721779:6721888,6722817:6723150,6723504:6723675,6724593:6724773,6739465:6742332,6740030:6740489,6750987:6751452,6823971:6824345', 'assoc_mat': '6600540:film_plastique:4209:6602159,6600552:film_plastique:4209:6600779,6616961:film_plastique:4209:6617705,6618302:film_plastique:4209:6618987,6620037:film_plastique:4209:6620421,6620448:film_plastique:4209:6620776,6621640:film_plastique:4209:6622078,6621646:film_plastique:4209:6621929,6626722:film_plastique:4209:6627041,6631190:film_plastique:4209:6668136,6631196:film_plastique:4209:6668210,6632661:film_plastique:4209:6670551,6632883:film_plastique:4209:6670887,6638162:film_plastique:4209:6638509,6640593:film_plastique:4209:6641074,6647214:film_plastique:4209:6648120,6654838:film_plastique:4209:6655495,6663620:film_plastique:4209:6664009,6664426:film_plastique:4209:6667518,6671806:film_plastique:4209:6672176,6672700:film_plastique:4209:6673393,6673893:film_plastique:4209:6674366,6677866:film_plastique:4209:6678097,6682898:film_plastique:4209:6690827,6685513:film_plastique:4209:6697464,6688873:film_plastique:4209:6699019,6691778:film_plastique:4209:6692895,6692502:film_plastique:4209:6694182,6694731:film_pla'}, {'unwanted_material': 'film_plastique', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.004405144558639858, 'nb_photo': 50, 'list_port_cont': '6846222,6863051,6869293,6869651,6886840,6890965,6908908,6914944,6917082,6920507,6922345,6960431,12107792,12108029,12108283,12108676', 'assoc_port': '12107420:12108676,12107424:12108283,12107428:12108029,12107430:12107792,6845636:6846222,6862271:6863051,6868823:6869293,6869543:6869651,6886556:6886840,6890813:6890965,6902262:6908908,6914405:6914944,6916368:6917082,6919130:6920507,6919131:6960431,6920918:6922345', 'assoc_mat': '12107420:film_plastique:4209:12108676,12107424:film_plastique:4209:12108283,12107428:film_plastique:4209:12108029,12107430:film_plastique:4209:12107792,6845636:film_plastique:4209:6846222,6862271:film_plastique:4209:6863051,6868823:film_plastique:4209:6869293,6869543:film_plastique:4209:6869651,6886556:film_plastique:4209:6886840,6890813:film_plastique:4209:6890965,6902262:film_plastique:4209:6908908,6914405:film_plastique:4209:6914944,6916368:film_plastique:4209:6917082,6919130:film_plastique:4209:6920507,6919131:film_plastique:4209:6960431,6920918:film_plastique:4209:6922345'}, {'unwanted_material': 'film_plastique', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.006753454742247015, 'nb_photo': 34, 'list_port_cont': '6617254,6617671,6659522', 'assoc_port': '6616962:6617254,6616964:6617671,6652939:6659522', 'assoc_mat': '6616962:film_plastique:4207:6617254,6616964:film_plastique:4207:6617671,6652939:film_plastique:4207:6659522'}, {'unwanted_material': 'film_plastique', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.002259746608148063, 'nb_photo': 5499, 'list_port_cont': '6600849,6600890,6601017,6601442,6602275,6602592,6603008,6603406,6606076,6607678,6608058,6608295,6609456,6610404,6610609,6610652,6611148,6614536,6615399,6615435,6615793,6616511,6617424,6618766,6618925,6620326,6620921,6621065,6621674,6621974,6622008,6622128,6622208,6622454,6624061,6625573,6626621,6626647,6627282,6628485,6629175,6629247,6634383,6634658,6634850,6635144,6635829,6638283,6638444,6639153,6641001,6642062,6642716,6650045,6650153,6650270,6650961,6658508,6664038,6666449,6668094,6668173,6669613,6672032,6674008,6674546,6674641,6674770,6675073,6675109,6675137,6675474,6676525,6676617,6677121,6677223,6677802,6678045,6678212,6678572,6678654,6678774,6678959,6678990,6679232,6681260,6687145,6691518,6691651,6692290,6693202,6693680,6693906,6694032,6694214,6694412,6695522,6697517,6698427,6698760,6698790,6699374,6699429,6700667,6705446,6706630,6706777,6707225,6707821,6709736,6711239,6711396,6711489,6712153,6712493,6712628,6712756,6713442,6713595,6713761,6714400,6716476,6716567,6717500,6717544,6718036,6718525,6719027,', 'assoc_port': '10844008:10846072,10844009:10845794,10844010:10846040,10844011:10845549,10844012:10845979,10844013:10845414,10844014:10845182,10844015:10845079,10844016:10845170,10844017:10845132,10844018:10844951,10844019:10845054,10844020:10844687,10844021:10844442,12107423:12108313,12107427:12108076,12107429:12107822,6600536:6601442,6600544:6600849,6600546:6601017,6600551:6600890,6601138:6602592,6601649:6602275,6602728:6603008,6602733:6603406,6604399:6608058,6605499:6610652,6605688:6606076,6606683:6607678,6607835:6610404,6607839:6608295,6609199:6609456,6610498:6610609,6610992:6611148,6614199:6614536,6614967:6615399,6614969:6615435,6615362:6615793,6616173:6616511,6616982:6617424,6618307:6618766,6618311:6618925,6620040:6620326,6620422:6621674,6620444:6621065,6620447:6620921,6621638:6624061,6621643:6622454,6621647:6622208,6621651:6622128,6621654:6621974,6621659:6622008,6625236:6625573,6626268:6626621,6626274:6626647,6627098:6627282,6627945:6628485,6628987:6629175,6628989:6629247,6630850:6634850,6630852:6674008,6630856:663465', 'assoc_mat': '10844008:film_plastique:4211:10846072,10844009:film_plastique:4211:10845794,10844010:film_plastique:4211:10846040,10844011:film_plastique:4211:10845549,10844012:film_plastique:4211:10845979,10844013:film_plastique:4211:10845414,10844014:film_plastique:4211:10845182,10844015:film_plastique:4211:10845079,10844016:film_plastique:4211:10845170,10844017:film_plastique:4211:10845132,10844018:film_plastique:4211:10844951,10844019:film_plastique:4211:10845054,10844020:film_plastique:4211:10844687,10844021:film_plastique:4211:10844442,12107423:film_plastique:4211:12108313,12107427:film_plastique:4211:12108076,12107429:film_plastique:4211:12107822,6600536:film_plastique:4211:6601442,6600544:film_plastique:4211:6600849,6600546:film_plastique:4211:6601017,6600551:film_plastique:4211:6600890,6601138:film_plastique:4211:6602592,6601649:film_plastique:4211:6602275,6602728:film_plastique:4211:6603008,6602733:film_plastique:4211:6603406,6604399:film_plastique:4211:6608058,6605499:film_plastique:4211:6610652,6605688:film_plast'}, {'unwanted_material': 'film_plastique', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.009562760165995879, 'nb_photo': 651, 'list_port_cont': '6600935,6602065,6604873,6606113,6609166,6613072,6615619,6618496,6620183,6620863,6621894,6626781,6628361,6634253,6635399,6637071,6637439,6638362,6639237,6641573,6646019,6647326,6649276,6649481,6649910,6653428,6654681,6655699,6658476,6662389,6665188,6669588,6670057,6672611,6674515,6683658,6684468,6686795,6687232,6687468,6696454,6696813,6698466,6711565,6712273,6712779,6714502,6717597,6719828,6720160,6720216,6720243,6720362,6721257,6722534,6724152,6739287,6740805,6745514,6745792,6750253,6754188,6754560,6759424,6765277,6766706,6767355,6780405,6780527,6780713,6784028,6786844,6788649,6791328,6793700,6795545,6797658,6813918,6817663,6821381,6824093,6835171,6836542,6840210,6842440,6849225,6851785,6852368,6854521,6859028,6862726,6865775,6866336,6867967,6869257,6874408,6875757,6882725,6886810,6888104,6889508,6895295,6900331,6902499,6904843,6914441,6920747,6921624,6924250', 'assoc_port': '6600538:6600935,6601136:6602065,6604397:6604873,6605689:6606113,6608145:6609166,6612632:6613072,6615365:6615619,6618309:6618496,6620043:6620183,6620439:6620863,6621653:6621894,6626271:6626781,6627944:6628361,6630848:6646019,6631070:6649276,6631186:6634253,6631194:6649910,6631961:6655699,6632583:6662389,6632786:6635399,6632966:6670057,6635673:6637439,6635681:6637071,6637843:6638362,6638774:6639237,6641286:6641573,6646447:6647326,6648940:6649481,6650951:6653428,6654041:6654681,6657889:6658476,6664429:6665188,6668950:6669588,6671809:6672611,6673895:6674515,6681680:6683658,6683618:6684468,6685440:6720362,6685511:6720216,6686027:6719828,6686041:6720160,6686295:6687468,6686312:6687232,6686325:6686795,6688871:6714502,6690894:6698466,6693641:6696454,6696476:6696813,6710860:6711565,6711680:6712273,6712324:6712779,6716688:6717597,6718843:6720243,6720803:6721257,6722354:6722534,6723892:6724152,6738748:6739287,6740018:6740805,6740709:6745514,6744268:6745792,6748062:6750253,6753406:6754560,6753419:6754188,6759057:6759424,', 'assoc_mat': '6600538:film_plastique:4200:6600935,6601136:film_plastique:4200:6602065,6604397:film_plastique:4200:6604873,6605689:film_plastique:4200:6606113,6608145:film_plastique:4200:6609166,6612632:film_plastique:4200:6613072,6615365:film_plastique:4200:6615619,6618309:film_plastique:4200:6618496,6620043:film_plastique:4200:6620183,6620439:film_plastique:4200:6620863,6621653:film_plastique:4200:6621894,6626271:film_plastique:4200:6626781,6627944:film_plastique:4200:6628361,6630848:film_plastique:4200:6646019,6631070:film_plastique:4200:6649276,6631186:film_plastique:4200:6634253,6631194:film_plastique:4200:6649910,6631961:film_plastique:4200:6655699,6632583:film_plastique:4200:6662389,6632786:film_plastique:4200:6635399,6632966:film_plastique:4200:6670057,6635673:film_plastique:4200:6637439,6635681:film_plastique:4200:6637071,6637843:film_plastique:4200:6638362,6638774:film_plastique:4200:6639237,6641286:film_plastique:4200:6641573,6646447:film_plastique:4200:6647326,6648940:film_plastique:4200:6649481,6650951:film_pla'}, {'unwanted_material': 'kraft', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0013476688860348137, 'nb_photo': 25, 'list_port_cont': '6603437,6608810,6624174,6698367,6704169,6720534,6723222,6723404,6735448,6754066,6768737,6775016,6799274,6806349,6808099,6808748,6822563,6826367,6930490', 'assoc_port': '6602731:6603437,6608146:6608810,6620405:6624174,6638160:6704169,6653521:6723222,6664117:6735448,6682068:6768737,6685476:6799274,6696473:6698367,6718634:6720534,6722813:6723404,6753416:6754066,6765566:6808748,6774410:6775016,6786466:6808099,6793236:6806349,6820599:6822563,6825858:6826367,6894306:6930490', 'assoc_mat': '6602731:kraft:4203:6603437,6608146:kraft:4203:6608810,6620405:kraft:4203:6624174,6638160:kraft:4203:6704169,6653521:kraft:4203:6723222,6664117:kraft:4203:6735448,6682068:kraft:4203:6768737,6685476:kraft:4203:6799274,6696473:kraft:4203:6698367,6718634:kraft:4203:6720534,6722813:kraft:4203:6723404,6753416:kraft:4203:6754066,6765566:kraft:4203:6808748,6774410:kraft:4203:6775016,6786466:kraft:4203:6808099,6793236:kraft:4203:6806349,6820599:kraft:4203:6822563,6825858:kraft:4203:6826367,6894306:kraft:4203:6930490'}, {'unwanted_material': 'kraft', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0002605400427680809, 'nb_photo': 31, 'list_port_cont': '6602597,6603402,6608291,6621971,6629173,6635141,6674012,6675078,6718038,6721839,6731861,6756973,6763094,6767267,6782609,6783130,6786055,6787764,6799513,6800227,6800537,6806177,6808705,6863473,6869206,6917724', 'assoc_port': '6601138:6602597,6602733:6603402,6607839:6608291,6621654:6621971,6628987:6629173,6630852:6674012,6631065:6675078,6631193:6635141,6640595:6806177,6651292:6721839,6657891:6731861,6685502:6799513,6685989:6800227,6686094:6800537,6717679:6718038,6748064:6756973,6762546:6763094,6765565:6808705,6766922:6767267,6779975:6786055,6782244:6783130,6782282:6782609,6787218:6787764,6862775:6863473,6868825:6869206,6916370:6917724', 'assoc_mat': '6601138:kraft:4211:6602597,6602733:kraft:4211:6603402,6607839:kraft:4211:6608291,6621654:kraft:4211:6621971,6628987:kraft:4211:6629173,6630852:kraft:4211:6674012,6631065:kraft:4211:6675078,6631193:kraft:4211:6635141,6640595:kraft:4211:6806177,6651292:kraft:4211:6721839,6657891:kraft:4211:6731861,6685502:kraft:4211:6799513,6685989:kraft:4211:6800227,6686094:kraft:4211:6800537,6717679:kraft:4211:6718038,6748064:kraft:4211:6756973,6762546:kraft:4211:6763094,6765565:kraft:4211:6808705,6766922:kraft:4211:6767267,6779975:kraft:4211:6786055,6782244:kraft:4211:6783130,6782282:kraft:4211:6782609,6787218:kraft:4211:6787764,6862775:kraft:4211:6863473,6868825:kraft:4211:6869206,6916370:kraft:4211:6917724'}, {'unwanted_material': 'kraft', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.002080903131306298, 'nb_photo': 8, 'list_port_cont': '6654687,6665187,6711559,6739285,6786851,6875988,6895294', 'assoc_port': '6654041:6654687,6664429:6665187,6710860:6711559,6738748:6739285,6786463:6786851,6875675:6875988,6894305:6895294', 'assoc_mat': '6654041:kraft:4200:6654687,6664429:kraft:4200:6665187,6710860:kraft:4200:6711559,6738748:kraft:4200:6739285,6786463:kraft:4200:6786851,6875675:kraft:4200:6875988,6894305:kraft:4200:6895294'}, {'unwanted_material': 'metal', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0025689075464105384, 'nb_photo': 116, 'list_port_cont': '6603439,6608802,6618323,6624168,6627336,6634744,6634804,6698366,6704170,6712714,6720531,6723221,6723414,6735153,6741143,6754064,6768738,6775029,6780637,6799279,6800304,6801309,6806355,6808095,6808740,6810126,6812819,6822550,6826362,6834102,6838768,6846434,6852156,6863255,6865671,6869930,6876016,6930480,6940846,10844182', 'assoc_port': '10844025:10844182,6602731:6603439,6608146:6608802,6617603:6618323,6620405:6624168,6626721:6627336,6630937:6634744,6631483:6634804,6638160:6704170,6653521:6723221,6671808:6834102,6682068:6768738,6685476:6799279,6685991:6800304,6686304:6801309,6690887:6735153,6696473:6698366,6712332:6712714,6718634:6720531,6722813:6723414,6740022:6741143,6745199:6810126,6753416:6754064,6765566:6808740,6774410:6775029,6780026:6780637,6786466:6808095,6793236:6806355,6811950:6812819,6820599:6822550,6825858:6826362,6837012:6838768,6846007:6846434,6851650:6852156,6863104:6863255,6865559:6865671,6869544:6869930,6875674:6876016,6894306:6930480,6900378:6940846', 'assoc_mat': '10844025:metal:4203:10844182,6602731:metal:4203:6603439,6608146:metal:4203:6608802,6617603:metal:4203:6618323,6620405:metal:4203:6624168,6626721:metal:4203:6627336,6630937:metal:4203:6634744,6631483:metal:4203:6634804,6638160:metal:4203:6704170,6653521:metal:4203:6723221,6671808:metal:4203:6834102,6682068:metal:4203:6768738,6685476:metal:4203:6799279,6685991:metal:4203:6800304,6686304:metal:4203:6801309,6690887:metal:4203:6735153,6696473:metal:4203:6698366,6712332:metal:4203:6712714,6718634:metal:4203:6720531,6722813:metal:4203:6723414,6740022:metal:4203:6741143,6745199:metal:4203:6810126,6753416:metal:4203:6754064,6765566:metal:4203:6808740,6774410:metal:4203:6775029,6780026:metal:4203:6780637,6786466:metal:4203:6808095,6793236:metal:4203:6806355,6811950:metal:4203:6812819,6820599:metal:4203:6822550,6825858:metal:4203:6826362,6837012:metal:4203:6838768,6846007:metal:4203:6846434,6851650:metal:4203:6852156,6863104:metal:4203:6863255,6865559:metal:4203:6865671,6869544:metal:4203:6869930,6875674:metal:4203:6876'}, {'unwanted_material': 'metal', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.01620320652826406, 'nb_photo': 95, 'list_port_cont': '6600765,6601464,6602163,6616735,6618978,6620417,6620780,6621471,6622065,6625394,6627054,6638506,6641080,6644333,6647279,6648126,6651921,6655492,6664016,6666561,6668141,6668996,6669285,6669399,6670444,6670900,6672174,6673388,6678096,6690826,6692907,6695450,6695916,6697457,6711036,6712095,6712243,6716818,6721890,6723141,6723677,6740494,6751439,6754759,6791206,6812443', 'assoc_port': '6600533:6601464,6600540:6602163,6600552:6600765,6616168:6616735,6618302:6618978,6620037:6620417,6620443:6621471,6620448:6620780,6621640:6622065,6625237:6625394,6626722:6627054,6631064:6666561,6631190:6668141,6631480:6668996,6631482:6669285,6631491:6669399,6632580:6670444,6632883:6670900,6638162:6638506,6638777:6644333,6640593:6641080,6646444:6647279,6647214:6648126,6650509:6651921,6654838:6655492,6663620:6664016,6671806:6672174,6672700:6673388,6677866:6678096,6682898:6690826,6685513:6697457,6691778:6692907,6694731:6695916,6694740:6695450,6709375:6711036,6710867:6712243,6711682:6712095,6716079:6716818,6721779:6721890,6722817:6723141,6723504:6723677,6740030:6740494,6741911:6754759,6750987:6751439,6790915:6791206,6811912:6812443', 'assoc_mat': '6600533:metal:4209:6601464,6600540:metal:4209:6602163,6600552:metal:4209:6600765,6616168:metal:4209:6616735,6618302:metal:4209:6618978,6620037:metal:4209:6620417,6620443:metal:4209:6621471,6620448:metal:4209:6620780,6621640:metal:4209:6622065,6625237:metal:4209:6625394,6626722:metal:4209:6627054,6631064:metal:4209:6666561,6631190:metal:4209:6668141,6631480:metal:4209:6668996,6631482:metal:4209:6669285,6631491:metal:4209:6669399,6632580:metal:4209:6670444,6632883:metal:4209:6670900,6638162:metal:4209:6638506,6638777:metal:4209:6644333,6640593:metal:4209:6641080,6646444:metal:4209:6647279,6647214:metal:4209:6648126,6650509:metal:4209:6651921,6654838:metal:4209:6655492,6663620:metal:4209:6664016,6671806:metal:4209:6672174,6672700:metal:4209:6673388,6677866:metal:4209:6678096,6682898:metal:4209:6690826,6685513:metal:4209:6697457,6691778:metal:4209:6692907,6694731:metal:4209:6695916,6694740:metal:4209:6695450,6709375:metal:4209:6711036,6710867:metal:4209:6712243,6711682:metal:4209:6712095,6716079:metal:4209:671681'}, {'unwanted_material': 'metal', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.03813640273004401, 'nb_photo': 50, 'list_port_cont': '6846234,6869292,6869658,6886838,6890968,6894664,6908915,6914949,6920506,6922343,6960437,12108025,12108375,12108683', 'assoc_port': '12107420:12108683,12107422:12108375,12107428:12108025,6845636:6846234,6868823:6869292,6869543:6869658,6886556:6886838,6890813:6890968,6894304:6894664,6902262:6908915,6914405:6914949,6919130:6920506,6919131:6960437,6920918:6922343', 'assoc_mat': '12107420:metal:4209:12108683,12107422:metal:4209:12108375,12107428:metal:4209:12108025,6845636:metal:4209:6846234,6868823:metal:4209:6869292,6869543:metal:4209:6869658,6886556:metal:4209:6886838,6890813:metal:4209:6890968,6894304:metal:4209:6894664,6902262:metal:4209:6908915,6914405:metal:4209:6914949,6919130:metal:4209:6920506,6919131:metal:4209:6960437,6920918:metal:4209:6922343'}, {'unwanted_material': 'metal', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.28424781729752074, 'nb_photo': 15, 'list_port_cont': '6617261,6617679,6659518', 'assoc_port': '6616962:6617261,6616964:6617679,6652939:6659518', 'assoc_mat': '6616962:metal:4207:6617261,6616964:metal:4207:6617679,6652939:metal:4207:6659518'}, {'unwanted_material': 'metal', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.014105013759782188, 'nb_photo': 4099, 'list_port_cont': '6600856,6600899,6601011,6601438,6601603,6602271,6602596,6603016,6603404,6606080,6607692,6608057,6608280,6609447,6610406,6610603,6610660,6611150,6613941,6614530,6615402,6615431,6615798,6616522,6617438,6618772,6618911,6620212,6620337,6620916,6621058,6621671,6621967,6622006,6622131,6622198,6622469,6624050,6625565,6626622,6626649,6627272,6628473,6629174,6629239,6634384,6634649,6634849,6635130,6635842,6638288,6638454,6639155,6641000,6642050,6642701,6649970,6650051,6650148,6650282,6650968,6653714,6658501,6664036,6666452,6668086,6668172,6669618,6672033,6674018,6674395,6674559,6674640,6674768,6675067,6675113,6675145,6675475,6676538,6676615,6677120,6677227,6677799,6678035,6678225,6678304,6678567,6678655,6678773,6678968,6679000,6679222,6681257,6687134,6691497,6691663,6692286,6693199,6693683,6693905,6694046,6694218,6694411,6695512,6697510,6698424,6698770,6698800,6699365,6699425,6700612,6700659,6705447,6706623,6706766,6707227,6707825,6709724,6711225,6711407,6711492,6712148,6712489,6712634,6712755,6713434,6713596,6713751,', 'assoc_port': '10844008:10846070,10844009:10845782,10844010:10846037,10844011:10845544,10844012:10845982,10844013:10845413,10844014:10845190,10844015:10845088,10844016:10845174,10844017:10845137,10844018:10844954,10844019:10845038,10844020:10844683,10844021:10844455,12107423:12108305,12107427:12108080,12107429:12107834,6600536:6601438,6600544:6600856,6600546:6601011,6600551:6600899,6601138:6602596,6601142:6601603,6601649:6602271,6602728:6603016,6602733:6603404,6604399:6608057,6605499:6610660,6605688:6606080,6606683:6607692,6607835:6610406,6607839:6608280,6609199:6609447,6610498:6610603,6610992:6611150,6613877:6613941,6614199:6614530,6614967:6615402,6614969:6615431,6615362:6615798,6616173:6616522,6616982:6617438,6618307:6618772,6618311:6618911,6620038:6620212,6620040:6620337,6620422:6621671,6620444:6621058,6620447:6620916,6621638:6624050,6621643:6622469,6621647:6622198,6621651:6622131,6621654:6621967,6621659:6622006,6625236:6625565,6626268:6626622,6626274:6626649,6627098:6627272,6627945:6628473,6628987:6629174,6628989:662923', 'assoc_mat': '10844008:metal:4211:10846070,10844009:metal:4211:10845782,10844010:metal:4211:10846037,10844011:metal:4211:10845544,10844012:metal:4211:10845982,10844013:metal:4211:10845413,10844014:metal:4211:10845190,10844015:metal:4211:10845088,10844016:metal:4211:10845174,10844017:metal:4211:10845137,10844018:metal:4211:10844954,10844019:metal:4211:10845038,10844020:metal:4211:10844683,10844021:metal:4211:10844455,12107423:metal:4211:12108305,12107427:metal:4211:12108080,12107429:metal:4211:12107834,6600536:metal:4211:6601438,6600544:metal:4211:6600856,6600546:metal:4211:6601011,6600551:metal:4211:6600899,6601138:metal:4211:6602596,6601142:metal:4211:6601603,6601649:metal:4211:6602271,6602728:metal:4211:6603016,6602733:metal:4211:6603404,6604399:metal:4211:6608057,6605499:metal:4211:6610660,6605688:metal:4211:6606080,6606683:metal:4211:6607692,6607835:metal:4211:6610406,6607839:metal:4211:6608280,6609199:metal:4211:6609447,6610498:metal:4211:6610603,6610992:metal:4211:6611150,6613877:metal:4211:6613941,6614199:metal:4211'}, {'unwanted_material': 'metal', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0018611932504713049, 'nb_photo': 168, 'list_port_cont': '6602309,6606381,6607132,6607892,6608676,6609913,6610058,6613724,6618178,6621382,6621446,6622317,6622515,6622750,6627836,6629357,6635868,6636122,6636323,6636736,6637761,6638093,6638417,6638705,6638836,6638971,6639356,6639756,6639841,6640772,6640965,6642021,6642089,6643659,6643689,6644080,6648806,6652946,6664581,6668616,6674494,6675599,6676588,6681849,6685021,6686471,6687366,6687492,6688258,6688984,6689512,6689535,6690288,6690633,6692197,6692683,6693648,6696369,6697176,6697873,6698735,6698882,6699062,6699467,6700152,6712810,6712846,6713279,6718380,6719374,6721461,6722064,6723542,6724041,6725336,6740417,6745471,6746032,6750024,6751761,6754361,6754498,6754531,6756337,6760376,6761240,6765850,6767303,6767722,6781605,6782080,6783162,6784119,6788824,6789101,6789299,6790666,6792153,6792401,6797280,6797781,6798013,6817846,6821598,6833582,6834267,6840067,6843272,6851938,6852133,6852491,6854288,6865690,6865866,6869175,6875951,6876047,6876102,6876518,6887363,6887386,6888987,6890298,6891134,6895349,6904238,6904578,6915036', 'assoc_port': '6601140:6602309,6604702:6606381,6605502:6607132,6606685:6607892,6607838:6608676,6609197:6610058,6609198:6609913,6612953:6613724,6616960:6618178,6620039:6621382,6620441:6621446,6621642:6622750,6621645:6622515,6621661:6622317,6627097:6627836,6628988:6629357,6630934:6637761,6630938:6638093,6631068:6638836,6631071:6638971,6631076:6639356,6631490:6640772,6631493:6640965,6631964:6642089,6632713:6648806,6632788:6643659,6632880:6636323,6632882:6644080,6633863:6635868,6635683:6636736,6635684:6636122,6637839:6638705,6637844:6638417,6638772:6639841,6638775:6639756,6640596:6643689,6641258:6642021,6650952:6652946,6663623:6664581,6667559:6668616,6673888:6675599,6673890:6674494,6674743:6676588,6681004:6681849,6683621:6685021,6685438:6699467,6685448:6698882,6685487:6698735,6685490:6699062,6685495:6700152,6685528:6687366,6685534:6686471,6686008:6697873,6686056:6697176,6686063:6689512,6686284:6689535,6686287:6690633,6686297:6688984,6686305:6688258,6686329:6687492,6688867:6690288,6690873:6692197,6691781:6692683,6692503:6693648,', 'assoc_mat': '6601140:metal:3327:6602309,6604702:metal:3327:6606381,6605502:metal:3327:6607132,6606685:metal:3327:6607892,6607838:metal:3327:6608676,6609197:metal:3327:6610058,6609198:metal:3327:6609913,6612953:metal:3327:6613724,6616960:metal:3327:6618178,6620039:metal:3327:6621382,6620441:metal:3327:6621446,6621642:metal:3327:6622750,6621645:metal:3327:6622515,6621661:metal:3327:6622317,6627097:metal:3327:6627836,6628988:metal:3327:6629357,6630934:metal:3327:6637761,6630938:metal:3327:6638093,6631068:metal:3327:6638836,6631071:metal:3327:6638971,6631076:metal:3327:6639356,6631490:metal:3327:6640772,6631493:metal:3327:6640965,6631964:metal:3327:6642089,6632713:metal:3327:6648806,6632788:metal:3327:6643659,6632880:metal:3327:6636323,6632882:metal:3327:6644080,6633863:metal:3327:6635868,6635683:metal:3327:6636736,6635684:metal:3327:6636122,6637839:metal:3327:6638705,6637844:metal:3327:6638417,6638772:metal:3327:6639841,6638775:metal:3327:6639756,6640596:metal:3327:6643689,6641258:metal:3327:6642021,6650952:metal:3327:665294'}, {'unwanted_material': 'metal', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.008187433477581552, 'nb_photo': 161, 'list_port_cont': '6600924,6604874,6606109,6609169,6613066,6615621,6618495,6620180,6620864,6621895,6628356,6635390,6637077,6637440,6638365,6639245,6646018,6649283,6649472,6649917,6653439,6654695,6655708,6662393,6672612,6674525,6683669,6684477,6686796,6687223,6687470,6696448,6696812,6698463,6711552,6712278,6714493,6719818,6720151,6720203,6720239,6720363,6721248,6722529,6724153,6740811,6745799,6750239,6754562,6759423,6765268,6767356,6780402,6780532,6784026,6786842,6788648,6791326,6793698,6797669,6813916,6824104,6835192,6836545,6840197,6842435,6849222,6851783,6852365,6854532,6859036,6862724,6866334,6867975,6869267,6874413,6875761,6875987,6882735,6895285,6900330,6902505,6904844,6914446,6920751,6921633', 'assoc_port': '6600538:6600924,6604397:6604874,6605689:6606109,6608145:6609169,6612632:6613066,6615365:6615621,6618309:6618495,6620043:6620180,6620439:6620864,6621653:6621895,6627944:6628356,6630848:6646018,6631070:6649283,6631194:6649917,6631961:6655708,6632583:6662393,6632786:6635390,6635673:6637440,6635681:6637077,6637843:6638365,6638774:6639245,6648940:6649472,6650951:6653439,6654041:6654695,6671809:6672612,6673895:6674525,6681680:6683669,6683618:6684477,6685440:6720363,6685511:6720203,6686027:6719818,6686041:6720151,6686295:6687470,6686312:6687223,6686325:6686796,6688871:6714493,6690894:6698463,6693641:6696448,6696476:6696812,6710860:6711552,6711680:6712278,6718843:6720239,6720803:6721248,6722354:6722529,6723892:6724153,6740018:6740811,6744268:6745799,6748062:6750239,6753406:6754562,6759057:6759423,6764848:6765268,6766924:6767356,6779977:6780532,6780017:6780402,6782249:6784026,6786463:6786842,6787690:6788648,6790918:6791326,6793238:6793698,6797266:6797669,6813389:6813916,6823753:6824104,6833510:6835192,6835942:6836545,', 'assoc_mat': '6600538:metal:4200:6600924,6604397:metal:4200:6604874,6605689:metal:4200:6606109,6608145:metal:4200:6609169,6612632:metal:4200:6613066,6615365:metal:4200:6615621,6618309:metal:4200:6618495,6620043:metal:4200:6620180,6620439:metal:4200:6620864,6621653:metal:4200:6621895,6627944:metal:4200:6628356,6630848:metal:4200:6646018,6631070:metal:4200:6649283,6631194:metal:4200:6649917,6631961:metal:4200:6655708,6632583:metal:4200:6662393,6632786:metal:4200:6635390,6635673:metal:4200:6637440,6635681:metal:4200:6637077,6637843:metal:4200:6638365,6638774:metal:4200:6639245,6648940:metal:4200:6649472,6650951:metal:4200:6653439,6654041:metal:4200:6654695,6671809:metal:4200:6672612,6673895:metal:4200:6674525,6681680:metal:4200:6683669,6683618:metal:4200:6684477,6685440:metal:4200:6720363,6685511:metal:4200:6720203,6686027:metal:4200:6719818,6686041:metal:4200:6720151,6686295:metal:4200:6687470,6686312:metal:4200:6687223,6686325:metal:4200:6686796,6688871:metal:4200:6714493,6690894:metal:4200:6698463,6693641:metal:4200:669644'}, {'unwanted_material': 'papier', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.061231730810446236, 'nb_photo': 10116, 'list_port_cont': '6603432,6608812,6618330,6624173,6627328,6634747,6634795,6660087,6698364,6704163,6712713,6720535,6723229,6723411,6735156,6735458,6741135,6754073,6761149,6768728,6775022,6780633,6799278,6800307,6801306,6806356,6808105,6808742,6810131,6812817,6822555,6826373,6834089,6838762,6846431,6852157,6863266,6865666,6869918,6876010,6930481,6940835,10844177', 'assoc_port': '10844025:10844177,6602731:6603432,6608146:6608812,6617603:6618330,6620405:6624173,6626721:6627328,6630937:6634747,6631483:6634795,6632879:6660087,6638160:6704163,6653521:6723229,6664117:6735458,6671808:6834089,6682068:6768728,6685476:6799278,6685991:6800307,6686304:6801306,6690887:6735156,6696473:6698364,6712332:6712713,6718634:6720535,6722813:6723411,6740022:6741135,6745199:6810131,6753416:6754073,6760133:6761149,6765566:6808742,6774410:6775022,6780026:6780633,6786466:6808105,6793236:6806356,6811950:6812817,6820599:6822555,6825858:6826373,6837012:6838762,6846007:6846431,6851650:6852157,6863104:6863266,6865559:6865666,6869544:6869918,6875674:6876010,6894306:6930481,6900378:6940835', 'assoc_mat': '10844025:papier:4203:10844177,6602731:papier:4203:6603432,6608146:papier:4203:6608812,6617603:papier:4203:6618330,6620405:papier:4203:6624173,6626721:papier:4203:6627328,6630937:papier:4203:6634747,6631483:papier:4203:6634795,6632879:papier:4203:6660087,6638160:papier:4203:6704163,6653521:papier:4203:6723229,6664117:papier:4203:6735458,6671808:papier:4203:6834089,6682068:papier:4203:6768728,6685476:papier:4203:6799278,6685991:papier:4203:6800307,6686304:papier:4203:6801306,6690887:papier:4203:6735156,6696473:papier:4203:6698364,6712332:papier:4203:6712713,6718634:papier:4203:6720535,6722813:papier:4203:6723411,6740022:papier:4203:6741135,6745199:papier:4203:6810131,6753416:papier:4203:6754073,6760133:papier:4203:6761149,6765566:papier:4203:6808742,6774410:papier:4203:6775022,6780026:papier:4203:6780633,6786466:papier:4203:6808105,6793236:papier:4203:6806356,6811950:papier:4203:6812817,6820599:papier:4203:6822555,6825858:papier:4203:6826373,6837012:papier:4203:6838762,6846007:papier:4203:6846431,6851650:papier'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.026271390056728197, 'nb_photo': 8, 'list_port_cont': '12107737,12108213', 'assoc_port': '12107419:12108213,12107426:12107737', 'assoc_mat': '12107419:papier:4207:12108213,12107426:papier:4207:12107737'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.9818228416534489, 'nb_photo': 22895, 'list_port_cont': '6600771,6601474,6602161,6616739,6617534,6617710,6618973,6620407,6620774,6621480,6621932,6622068,6625404,6627042,6637128,6638496,6641078,6644338,6647274,6648128,6651923,6655481,6657574,6664005,6666560,6667526,6668133,6668203,6668997,6669282,6669400,6670442,6670550,6670895,6672175,6673389,6674361,6678087,6682355,6690830,6692892,6694186,6695449,6695911,6697461,6699021,6711049,6712084,6712241,6716813,6721889,6723151,6723680,6724781,6740492,6742323,6751441,6754771,6791212,6812437,6824349', 'assoc_port': '6600533:6601474,6600540:6602161,6600552:6600771,6616168:6616739,6616961:6617710,6616963:6617534,6618302:6618973,6620037:6620407,6620443:6621480,6620448:6620774,6621640:6622068,6621646:6621932,6625237:6625404,6626722:6627042,6631064:6666560,6631190:6668133,6631196:6668203,6631480:6668997,6631482:6669282,6631491:6669400,6632580:6670442,6632661:6670550,6632883:6670895,6633864:6637128,6638162:6638496,6638777:6644338,6640593:6641078,6646444:6647274,6647214:6648128,6650509:6651923,6654838:6655481,6656897:6657574,6663620:6664005,6664426:6667526,6671806:6672175,6672700:6673389,6673893:6674361,6677866:6678087,6681682:6682355,6682898:6690830,6685513:6697461,6688873:6699021,6691778:6692892,6692502:6694186,6694731:6695911,6694740:6695449,6709375:6711049,6710867:6712241,6711682:6712084,6716079:6716813,6721779:6721889,6722817:6723151,6723504:6723680,6724593:6724781,6739465:6742323,6740030:6740492,6741911:6754771,6750987:6751441,6790915:6791212,6811912:6812437,6823971:6824349', 'assoc_mat': '6600533:papier:4209:6601474,6600540:papier:4209:6602161,6600552:papier:4209:6600771,6616168:papier:4209:6616739,6616961:papier:4209:6617710,6616963:papier:4209:6617534,6618302:papier:4209:6618973,6620037:papier:4209:6620407,6620443:papier:4209:6621480,6620448:papier:4209:6620774,6621640:papier:4209:6622068,6621646:papier:4209:6621932,6625237:papier:4209:6625404,6626722:papier:4209:6627042,6631064:papier:4209:6666560,6631190:papier:4209:6668133,6631196:papier:4209:6668203,6631480:papier:4209:6668997,6631482:papier:4209:6669282,6631491:papier:4209:6669400,6632580:papier:4209:6670442,6632661:papier:4209:6670550,6632883:papier:4209:6670895,6633864:papier:4209:6637128,6638162:papier:4209:6638496,6638777:papier:4209:6644338,6640593:papier:4209:6641078,6646444:papier:4209:6647274,6647214:papier:4209:6648128,6650509:papier:4209:6651923,6654838:papier:4209:6655481,6656897:papier:4209:6657574,6663620:papier:4209:6664005,6664426:papier:4209:6667526,6671806:papier:4209:6672175,6672700:papier:4209:6673389,6673893:papier:4'}, {'unwanted_material': 'papier', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.9778679543860948, 'nb_photo': 9654, 'list_port_cont': '6846225,6863052,6869290,6869652,6886839,6890954,6894669,6908902,6914938,6917074,6920517,6922339,6960439,12107799,12108033,12108279,12108335,12108368,12108547,12108681,12151216', 'assoc_port': '12107418:12151216,12107420:12108681,12107421:12108547,12107422:12108368,12107424:12108279,12107425:12108335,12107428:12108033,12107430:12107799,6845636:6846225,6862271:6863052,6868823:6869290,6869543:6869652,6886556:6886839,6890813:6890954,6894304:6894669,6902262:6908902,6914405:6914938,6916368:6917074,6919130:6920517,6919131:6960439,6920918:6922339', 'assoc_mat': '12107418:papier:4209:12151216,12107420:papier:4209:12108681,12107421:papier:4209:12108547,12107422:papier:4209:12108368,12107424:papier:4209:12108279,12107425:papier:4209:12108335,12107428:papier:4209:12108033,12107430:papier:4209:12107799,6845636:papier:4209:6846225,6862271:papier:4209:6863052,6868823:papier:4209:6869290,6869543:papier:4209:6869652,6886556:papier:4209:6886839,6890813:papier:4209:6890954,6894304:papier:4209:6894669,6902262:papier:4209:6908902,6914405:papier:4209:6914938,6916368:papier:4209:6917074,6919130:papier:4209:6920517,6919131:papier:4209:6960439,6920918:papier:4209:6922339'}, {'unwanted_material': 'papier', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.01913239060931627, 'nb_photo': 173, 'list_port_cont': '6617263,6617672,6633555,6659520', 'assoc_port': '6616962:6617263,6616964:6617672,6631478:6633555,6652939:6659520', 'assoc_mat': '6616962:papier:4207:6617263,6616964:papier:4207:6617672,6631478:papier:4207:6633555,6652939:papier:4207:6659520'}, {'unwanted_material': 'papier', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.02200696110253512, 'nb_photo': 44767, 'list_port_cont': '6600859,6600889,6601024,6601441,6601504,6602279,6602446,6602594,6603004,6603395,6605883,6606067,6607684,6608067,6608284,6609460,6610408,6610604,6610647,6611155,6613695,6614035,6614526,6615395,6615430,6615802,6616513,6617436,6618598,6618775,6618915,6620220,6620329,6620926,6621066,6621670,6621709,6621963,6621993,6622136,6622195,6622456,6624056,6625570,6626617,6626659,6627281,6628480,6629180,6629253,6634378,6634445,6634659,6634723,6634856,6635137,6635833,6638284,6638445,6639159,6640995,6642056,6642709,6648980,6650056,6650154,6650269,6650966,6653712,6658497,6664045,6666459,6668084,6668174,6669620,6672034,6674013,6674557,6674636,6674758,6674902,6675068,6675112,6675138,6675487,6676025,6676535,6676626,6677122,6677215,6677813,6678048,6678214,6678566,6678657,6678767,6678938,6678965,6679003,6679162,6679227,6681256,6687142,6691490,6691666,6692285,6693203,6693684,6693895,6694008,6694043,6694209,6694415,6695514,6697518,6698423,6698761,6698796,6699375,6699424,6700614,6700670,6704525,6705435,6706448,6706631,6706771,6707237,', 'assoc_port': '10844008:10846064,10844009:10845789,10844010:10846038,10844011:10845545,10844012:10845980,10844013:10845418,10844014:10845180,10844015:10845083,10844016:10845173,10844017:10845135,10844018:10844948,10844019:10845046,10844020:10844685,10844021:10844451,12107423:12108307,12107427:12108063,12107429:12107830,6600536:6601441,6600541:6601504,6600544:6600859,6600546:6601024,6600551:6600889,6601134:6602446,6601138:6602594,6601649:6602279,6602728:6603004,6602733:6603395,6604399:6608067,6605499:6610647,6605503:6605883,6605688:6606067,6606683:6607684,6607835:6610408,6607839:6608284,6609199:6609460,6610498:6610604,6610992:6611155,6613334:6613695,6613876:6614035,6614199:6614526,6614967:6615395,6614969:6615430,6615362:6615802,6616173:6616513,6616982:6617436,6618305:6618598,6618307:6618775,6618311:6618915,6620038:6620220,6620040:6620329,6620422:6621670,6620440:6621709,6620444:6621066,6620447:6620926,6621638:6624056,6621643:6622456,6621647:6622195,6621651:6622136,6621654:6621963,6621659:6621993,6625236:6625570,6626268:662661', 'assoc_mat': '10844008:papier:4211:10846064,10844009:papier:4211:10845789,10844010:papier:4211:10846038,10844011:papier:4211:10845545,10844012:papier:4211:10845980,10844013:papier:4211:10845418,10844014:papier:4211:10845180,10844015:papier:4211:10845083,10844016:papier:4211:10845173,10844017:papier:4211:10845135,10844018:papier:4211:10844948,10844019:papier:4211:10845046,10844020:papier:4211:10844685,10844021:papier:4211:10844451,12107423:papier:4211:12108307,12107427:papier:4211:12108063,12107429:papier:4211:12107830,6600536:papier:4211:6601441,6600541:papier:4211:6601504,6600544:papier:4211:6600859,6600546:papier:4211:6601024,6600551:papier:4211:6600889,6601134:papier:4211:6602446,6601138:papier:4211:6602594,6601649:papier:4211:6602279,6602728:papier:4211:6603004,6602733:papier:4211:6603395,6604399:papier:4211:6608067,6605499:papier:4211:6610647,6605503:papier:4211:6605883,6605688:papier:4211:6606067,6606683:papier:4211:6607684,6607835:papier:4211:6610408,6607839:papier:4211:6608284,6609199:papier:4211:6609460,6610498:pa'}, {'unwanted_material': 'papier', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.009355240101605987, 'nb_photo': 6285, 'list_port_cont': '6601213,6601256,6601317,6601373,6601553,6601698,6601785,6601845,6602306,6603618,6603848,6603983,6604941,6606282,6606355,6607130,6607397,6607894,6608325,6608588,6608678,6608962,6609907,6610050,6610277,6610916,6611080,6613729,6614150,6615896,6616066,6616196,6616978,6617467,6617840,6618171,6618951,6620513,6620986,6621120,6621143,6621171,6621389,6621444,6621532,6622103,6622164,6622319,6622375,6622434,6622526,6622660,6622747,6626370,6626972,6627003,6627196,6627833,6628017,6628555,6628622,6629355,6629386,6635801,6635866,6635899,6635944,6635981,6636042,6636111,6636140,6636285,6636315,6636430,6636597,6636684,6636728,6636793,6637051,6637686,6637707,6637760,6637847,6637947,6637985,6638092,6638415,6638592,6638709,6638831,6638953,6638977,6639183,6639295,6639358,6639648,6639762,6639839,6639905,6639970,6640128,6640718,6640743,6640775,6640957,6641216,6641307,6641324,6641487,6641516,6641659,6641814,6641948,6642020,6642091,6642283,6643241,6643369,6643482,6643610,6643638,6643667,6643692,6643717,6643898,6644077,6644463,6644658,', 'assoc_port': '6600535:6601256,6600537:6601698,6600543:6601213,6600545:6601373,6600547:6601553,6600550:6601785,6600553:6601317,6601140:6602306,6601199:6601845,6602727:6603848,6602729:6603983,6602732:6603618,6604400:6604941,6604702:6606355,6605500:6606282,6605502:6607130,6606682:6608325,6606685:6607894,6606687:6607397,6607836:6608588,6607838:6608678,6608144:6608962,6609197:6610050,6609198:6609907,6609963:6610277,6610497:6611080,6610499:6610916,6612953:6613729,6613333:6614150,6614966:6616196,6614968:6616066,6615360:6615896,6616171:6616978,6616960:6618171,6616966:6617467,6616967:6617840,6618310:6618951,6620036:6620513,6620039:6621389,6620042:6620986,6620404:6621143,6620441:6621444,6620445:6621171,6620446:6621532,6620449:6621120,6621639:6622660,6621642:6622747,6621645:6622526,6621650:6622375,6621652:6622434,6621655:6622164,6621656:6622103,6621661:6622319,6625901:6626370,6626270:6626972,6626272:6627003,6626275:6627196,6627097:6627833,6627099:6628017,6627946:6628555,6627948:6628622,6628988:6629355,6628991:6629386,6630847:6635944,', 'assoc_mat': '6600535:papier:3327:6601256,6600537:papier:3327:6601698,6600543:papier:3327:6601213,6600545:papier:3327:6601373,6600547:papier:3327:6601553,6600550:papier:3327:6601785,6600553:papier:3327:6601317,6601140:papier:3327:6602306,6601199:papier:3327:6601845,6602727:papier:3327:6603848,6602729:papier:3327:6603983,6602732:papier:3327:6603618,6604400:papier:3327:6604941,6604702:papier:3327:6606355,6605500:papier:3327:6606282,6605502:papier:3327:6607130,6606682:papier:3327:6608325,6606685:papier:3327:6607894,6606687:papier:3327:6607397,6607836:papier:3327:6608588,6607838:papier:3327:6608678,6608144:papier:3327:6608962,6609197:papier:3327:6610050,6609198:papier:3327:6609907,6609963:papier:3327:6610277,6610497:papier:3327:6611080,6610499:papier:3327:6610916,6612953:papier:3327:6613729,6613333:papier:3327:6614150,6614966:papier:3327:6616196,6614968:papier:3327:6616066,6615360:papier:3327:6615896,6616171:papier:3327:6616978,6616960:papier:3327:6618171,6616966:papier:3327:6617467,6616967:papier:3327:6617840,6618310:papier:3'}, {'unwanted_material': 'papier', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.017125275841086585, 'nb_photo': 2971, 'list_port_cont': '6600926,6602063,6604875,6606104,6609174,6613071,6615626,6618500,6620184,6620854,6621908,6626783,6628360,6634243,6635396,6637073,6637446,6638360,6639247,6641571,6646008,6647325,6649284,6649479,6649902,6653435,6654683,6655706,6658468,6662396,6665198,6669579,6670065,6672619,6674516,6683662,6684471,6686799,6687236,6687458,6696447,6696824,6698461,6711553,6712279,6712781,6714496,6717599,6719829,6720164,6720215,6720241,6720368,6721253,6722530,6724154,6739279,6740796,6745518,6745791,6750249,6754202,6754551,6759426,6765269,6766705,6767366,6780400,6780521,6780722,6784029,6786845,6788639,6791340,6793690,6795542,6797664,6813924,6817658,6821374,6824105,6835188,6836541,6840208,6842437,6849226,6851792,6852378,6854525,6859024,6862734,6865779,6866332,6867973,6869258,6874411,6875759,6875982,6882729,6886818,6888094,6889509,6895296,6902512,6904831,6914440,6920757,6921627,6924261', 'assoc_port': '6600538:6600926,6601136:6602063,6604397:6604875,6605689:6606104,6608145:6609174,6612632:6613071,6615365:6615626,6618309:6618500,6620043:6620184,6620439:6620854,6621653:6621908,6626271:6626783,6627944:6628360,6630848:6646008,6631070:6649284,6631186:6634243,6631194:6649902,6631961:6655706,6632583:6662396,6632786:6635396,6632966:6670065,6635673:6637446,6635681:6637073,6637843:6638360,6638774:6639247,6641286:6641571,6646447:6647325,6648940:6649479,6650951:6653435,6654041:6654683,6657889:6658468,6664429:6665198,6668950:6669579,6671809:6672619,6673895:6674516,6681680:6683662,6683618:6684471,6685440:6720368,6685511:6720215,6686027:6719829,6686041:6720164,6686295:6687458,6686312:6687236,6686325:6686799,6688871:6714496,6690894:6698461,6693641:6696447,6696476:6696824,6710860:6711553,6711680:6712279,6712324:6712781,6716688:6717599,6718843:6720241,6720803:6721253,6722354:6722530,6723892:6724154,6738748:6739279,6740018:6740796,6740709:6745518,6744268:6745791,6748062:6750249,6753406:6754551,6753419:6754202,6759057:6759426,', 'assoc_mat': '6600538:papier:4200:6600926,6601136:papier:4200:6602063,6604397:papier:4200:6604875,6605689:papier:4200:6606104,6608145:papier:4200:6609174,6612632:papier:4200:6613071,6615365:papier:4200:6615626,6618309:papier:4200:6618500,6620043:papier:4200:6620184,6620439:papier:4200:6620854,6621653:papier:4200:6621908,6626271:papier:4200:6626783,6627944:papier:4200:6628360,6630848:papier:4200:6646008,6631070:papier:4200:6649284,6631186:papier:4200:6634243,6631194:papier:4200:6649902,6631961:papier:4200:6655706,6632583:papier:4200:6662396,6632786:papier:4200:6635396,6632966:papier:4200:6670065,6635673:papier:4200:6637446,6635681:papier:4200:6637073,6637843:papier:4200:6638360,6638774:papier:4200:6639247,6641286:papier:4200:6641571,6646447:papier:4200:6647325,6648940:papier:4200:6649479,6650951:papier:4200:6653435,6654041:papier:4200:6654683,6657889:papier:4200:6658468,6664429:papier:4200:6665198,6668950:papier:4200:6669579,6671809:papier:4200:6672619,6673895:papier:4200:6674516,6681680:papier:4200:6683662,6683618:papier:4'}, {'unwanted_material': 'pehd', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0013604158722732354, 'nb_photo': 67, 'list_port_cont': '6603441,6608813,6618332,6624169,6627324,6634752,6634796,6698371,6704167,6712710,6720530,6723225,6723402,6735152,6735445,6754074,6761147,6775031,6799271,6801313,6806359,6808097,6808736,6826372,6834093,6838765,6852167,6865667,6876014,6930485,6940839,10844181', 'assoc_port': '10844025:10844181,6602731:6603441,6608146:6608813,6617603:6618332,6620405:6624169,6626721:6627324,6630937:6634752,6631483:6634796,6638160:6704167,6653521:6723225,6664117:6735445,6671808:6834093,6685476:6799271,6686304:6801313,6690887:6735152,6696473:6698371,6712332:6712710,6718634:6720530,6722813:6723402,6753416:6754074,6760133:6761147,6765566:6808736,6774410:6775031,6786466:6808097,6793236:6806359,6825858:6826372,6837012:6838765,6851650:6852167,6865559:6865667,6875674:6876014,6894306:6930485,6900378:6940839', 'assoc_mat': '10844025:pehd:4203:10844181,6602731:pehd:4203:6603441,6608146:pehd:4203:6608813,6617603:pehd:4203:6618332,6620405:pehd:4203:6624169,6626721:pehd:4203:6627324,6630937:pehd:4203:6634752,6631483:pehd:4203:6634796,6638160:pehd:4203:6704167,6653521:pehd:4203:6723225,6664117:pehd:4203:6735445,6671808:pehd:4203:6834093,6685476:pehd:4203:6799271,6686304:pehd:4203:6801313,6690887:pehd:4203:6735152,6696473:pehd:4203:6698371,6712332:pehd:4203:6712710,6718634:pehd:4203:6720530,6722813:pehd:4203:6723402,6753416:pehd:4203:6754074,6760133:pehd:4203:6761147,6765566:pehd:4203:6808736,6774410:pehd:4203:6775031,6786466:pehd:4203:6808097,6793236:pehd:4203:6806359,6825858:pehd:4203:6826372,6837012:pehd:4203:6838765,6851650:pehd:4203:6852167,6865559:pehd:4203:6865667,6875674:pehd:4203:6876014,6894306:pehd:4203:6930485,6900378:pehd:4203:6940839'}, {'unwanted_material': 'pehd', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0004041124511179276, 'nb_photo': 6, 'list_port_cont': '6618980,6620778,6655493,6669280,6711051,6751445', 'assoc_port': '6618302:6618980,6620448:6620778,6631482:6669280,6654838:6655493,6709375:6711051,6750987:6751445', 'assoc_mat': '6618302:pehd:4209:6618980,6620448:pehd:4209:6620778,6631482:pehd:4209:6669280,6654838:pehd:4209:6655493,6709375:pehd:4209:6711051,6750987:pehd:4209:6751445'}, {'unwanted_material': 'pehd', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0005712244972110796, 'nb_photo': 6, 'list_port_cont': '6869288,6869648,6922350,12108027,12108673', 'assoc_port': '12107420:12108673,12107428:12108027,6868823:6869288,6869543:6869648,6920918:6922350', 'assoc_mat': '12107420:pehd:4209:12108673,12107428:pehd:4209:12108027,6868823:pehd:4209:6869288,6869543:pehd:4209:6869648,6920918:pehd:4209:6922350'}, {'unwanted_material': 'pehd', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.07610095728061055, 'nb_photo': 1, 'list_port_cont': '6659525', 'assoc_port': '6652939:6659525', 'assoc_mat': '6652939:pehd:4207:6659525'}, {'unwanted_material': 'pehd', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.9648891206027819, 'nb_photo': 8269, 'list_port_cont': '6600597,6600702,6600852,6600891,6601022,6601052,6601428,6601500,6601604,6602281,6602444,6602601,6603006,6603409,6605890,6606075,6607690,6608072,6608288,6609448,6610185,6610407,6610605,6610648,6611149,6613701,6613906,6613939,6614041,6614531,6615390,6615428,6615558,6615799,6616519,6617435,6618606,6618771,6618913,6620221,6620341,6620928,6621057,6621666,6621699,6621790,6621962,6622001,6622037,6622126,6622206,6622461,6624054,6625571,6626612,6626650,6627283,6628486,6629182,6629248,6634392,6634439,6634652,6634721,6634852,6635131,6635834,6638285,6638453,6639157,6640992,6642047,6642713,6648978,6649961,6650055,6650160,6650275,6650956,6653710,6658507,6664051,6666446,6668093,6668166,6669619,6672027,6674019,6674406,6674558,6674637,6674764,6674895,6675069,6675098,6675131,6675486,6676018,6676531,6676620,6677123,6677226,6677805,6678033,6678221,6678316,6678581,6678659,6678689,6678763,6678928,6678955,6678997,6679159,6679231,6681253,6687144,6691496,6691661,6692281,6693207,6693677,6693893,6694000,6694040,6694208,6694413,6695519,', 'assoc_port': '10844008:10846067,10844009:10845792,10844010:10846032,10844011:10845548,10844012:10845975,10844013:10845405,10844014:10845186,10844015:10845082,10844016:10845169,10844017:10845131,10844018:10844955,10844019:10845040,10844020:10844684,10844021:10844450,12107423:12108306,12107427:12108068,12107429:12107833,6600532:6601052,6600536:6601428,6600541:6601500,6600544:6600852,6600546:6601022,6600548:6600702,6600551:6600891,6600554:6600597,6601134:6602444,6601138:6602601,6601142:6601604,6601649:6602281,6602728:6603006,6602733:6603409,6604399:6608072,6605499:6610648,6605503:6605890,6605688:6606075,6606683:6607690,6607835:6610407,6607837:6610185,6607839:6608288,6609199:6609448,6610498:6610605,6610992:6611149,6613334:6613701,6613876:6614041,6613877:6613939,6613878:6613906,6614199:6614531,6614967:6615390,6614969:6615428,6615340:6615558,6615362:6615799,6616173:6616519,6616982:6617435,6618305:6618606,6618307:6618771,6618311:6618913,6620038:6620221,6620040:6620341,6620422:6621666,6620440:6621699,6620444:6621057,6620447:662092', 'assoc_mat': '10844008:pehd:4211:10846067,10844009:pehd:4211:10845792,10844010:pehd:4211:10846032,10844011:pehd:4211:10845548,10844012:pehd:4211:10845975,10844013:pehd:4211:10845405,10844014:pehd:4211:10845186,10844015:pehd:4211:10845082,10844016:pehd:4211:10845169,10844017:pehd:4211:10845131,10844018:pehd:4211:10844955,10844019:pehd:4211:10845040,10844020:pehd:4211:10844684,10844021:pehd:4211:10844450,12107423:pehd:4211:12108306,12107427:pehd:4211:12108068,12107429:pehd:4211:12107833,6600532:pehd:4211:6601052,6600536:pehd:4211:6601428,6600541:pehd:4211:6601500,6600544:pehd:4211:6600852,6600546:pehd:4211:6601022,6600548:pehd:4211:6600702,6600551:pehd:4211:6600891,6600554:pehd:4211:6600597,6601134:pehd:4211:6602444,6601138:pehd:4211:6602601,6601142:pehd:4211:6601604,6601649:pehd:4211:6602281,6602728:pehd:4211:6603006,6602733:pehd:4211:6603409,6604399:pehd:4211:6608072,6605499:pehd:4211:6610648,6605503:pehd:4211:6605890,6605688:pehd:4211:6606075,6606683:pehd:4211:6607690,6607835:pehd:4211:6610407,6607837:pehd:4211:6610185,66'}, {'unwanted_material': 'pehd', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0019293084660709505, 'nb_photo': 273, 'list_port_cont': '6601307,6601555,6601786,6602308,6603607,6603836,6604931,6606273,6606378,6607134,6607399,6607896,6608317,6608582,6609917,6610054,6610919,6611086,6613723,6616969,6621109,6621147,6621175,6621381,6621443,6622372,6622653,6622754,6626366,6626981,6628626,6629353,6629393,6635973,6636120,6636144,6636682,6637052,6637758,6638416,6638593,6638979,6639653,6639753,6639840,6639973,6640752,6640773,6640962,6641208,6641482,6641513,6641943,6642092,6643483,6643627,6643714,6643896,6645157,6645307,6645764,6648008,6648357,6648811,6649737,6652023,6652944,6654490,6655049,6656662,6657953,6663978,6670191,6671021,6672471,6673060,6674484,6675451,6675589,6676584,6681848,6682438,6684388,6686711,6687374,6687704,6688265,6689126,6689282,6689505,6690578,6690632,6692194,6692352,6692541,6692686,6693519,6694785,6696037,6697044,6697601,6697680,6698233,6698691,6698892,6698922,6699065,6710963,6711527,6712030,6712064,6712351,6712522,6712805,6712843,6713118,6713310,6717346,6720929,6721463,6723979,6724042,6725337,6725396,6727508,6740875,6741549,6742203,', 'assoc_port': '6600547:6601555,6600550:6601786,6600553:6601307,6601140:6602308,6602727:6603836,6602732:6603607,6604400:6604931,6604702:6606378,6605500:6606273,6605502:6607134,6606682:6608317,6606685:6607896,6606687:6607399,6607836:6608582,6609197:6610054,6609198:6609917,6610497:6611086,6610499:6610919,6612953:6613723,6616171:6616969,6620039:6621381,6620404:6621147,6620441:6621443,6620445:6621175,6620449:6621109,6621639:6622653,6621642:6622754,6621650:6622372,6625901:6626366,6626270:6626981,6627948:6628626,6628988:6629353,6628991:6629393,6630851:6635973,6630853:6636682,6630934:6637758,6631071:6638979,6631073:6639653,6631075:6639973,6631486:6641482,6631488:6640752,6631490:6640773,6631493:6640962,6631964:6642092,6631965:6641513,6632579:6645157,6632584:6645764,6632662:6643483,6632711:6643714,6632713:6648811,6632876:6643896,6632968:6645307,6633861:6637052,6635680:6636144,6635684:6636120,6637842:6638593,6637844:6638416,6638772:6639840,6638775:6639753,6640591:6641208,6641288:6643627,6641292:6641943,6646445:6648008,6647213:6648357,', 'assoc_mat': '6600547:pehd:3327:6601555,6600550:pehd:3327:6601786,6600553:pehd:3327:6601307,6601140:pehd:3327:6602308,6602727:pehd:3327:6603836,6602732:pehd:3327:6603607,6604400:pehd:3327:6604931,6604702:pehd:3327:6606378,6605500:pehd:3327:6606273,6605502:pehd:3327:6607134,6606682:pehd:3327:6608317,6606685:pehd:3327:6607896,6606687:pehd:3327:6607399,6607836:pehd:3327:6608582,6609197:pehd:3327:6610054,6609198:pehd:3327:6609917,6610497:pehd:3327:6611086,6610499:pehd:3327:6610919,6612953:pehd:3327:6613723,6616171:pehd:3327:6616969,6620039:pehd:3327:6621381,6620404:pehd:3327:6621147,6620441:pehd:3327:6621443,6620445:pehd:3327:6621175,6620449:pehd:3327:6621109,6621639:pehd:3327:6622653,6621642:pehd:3327:6622754,6621650:pehd:3327:6622372,6625901:pehd:3327:6626366,6626270:pehd:3327:6626981,6627948:pehd:3327:6628626,6628988:pehd:3327:6629353,6628991:pehd:3327:6629393,6630851:pehd:3327:6635973,6630853:pehd:3327:6636682,6630934:pehd:3327:6637758,6631071:pehd:3327:6638979,6631073:pehd:3327:6639653,6631075:pehd:3327:6639973,6631486:pe'}, {'unwanted_material': 'pehd', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0051100227990344554, 'nb_photo': 146, 'list_port_cont': '6604877,6609170,6613068,6615614,6618503,6620187,6620866,6621902,6628367,6634250,6637080,6637448,6641565,6653431,6654691,6655698,6658465,6662390,6665200,6669580,6670050,6672621,6674514,6683659,6684464,6687228,6696451,6698464,6711561,6712283,6712785,6714507,6717609,6719826,6720245,6720364,6721249,6740804,6745511,6745786,6750247,6754189,6754553,6759422,6765273,6766697,6780403,6780526,6780710,6786856,6788637,6791338,6793691,6795538,6797665,6821369,6824092,6842448,6849223,6851780,6852369,6854529,6859027,6862725,6866337,6867970,6869263,6875756,6882722,6888109,6895287,6902508,6914447,6920759,6921629,6924255', 'assoc_port': '6604397:6604877,6608145:6609170,6612632:6613068,6615365:6615614,6618309:6618503,6620043:6620187,6620439:6620866,6621653:6621902,6627944:6628367,6631186:6634250,6631961:6655698,6632583:6662390,6632966:6670050,6635673:6637448,6635681:6637080,6641286:6641565,6650951:6653431,6654041:6654691,6657889:6658465,6664429:6665200,6668950:6669580,6671809:6672621,6673895:6674514,6681680:6683659,6683618:6684464,6685440:6720364,6686027:6719826,6686312:6687228,6688871:6714507,6690894:6698464,6693641:6696451,6710860:6711561,6711680:6712283,6712324:6712785,6716688:6717609,6718843:6720245,6720803:6721249,6740018:6740804,6740709:6745511,6744268:6745786,6748062:6750247,6753406:6754553,6753419:6754189,6759057:6759422,6764848:6765273,6765563:6766697,6779960:6780710,6779977:6780526,6780017:6780403,6786463:6786856,6787690:6788637,6790918:6791338,6793238:6793691,6795258:6795538,6797266:6797665,6820776:6821369,6823753:6824092,6842061:6842448,6848832:6849223,6850353:6851780,6852123:6852369,6854184:6854529,6858797:6859027,6862270:6862725,', 'assoc_mat': '6604397:pehd:4200:6604877,6608145:pehd:4200:6609170,6612632:pehd:4200:6613068,6615365:pehd:4200:6615614,6618309:pehd:4200:6618503,6620043:pehd:4200:6620187,6620439:pehd:4200:6620866,6621653:pehd:4200:6621902,6627944:pehd:4200:6628367,6631186:pehd:4200:6634250,6631961:pehd:4200:6655698,6632583:pehd:4200:6662390,6632966:pehd:4200:6670050,6635673:pehd:4200:6637448,6635681:pehd:4200:6637080,6641286:pehd:4200:6641565,6650951:pehd:4200:6653431,6654041:pehd:4200:6654691,6657889:pehd:4200:6658465,6664429:pehd:4200:6665200,6668950:pehd:4200:6669580,6671809:pehd:4200:6672621,6673895:pehd:4200:6674514,6681680:pehd:4200:6683659,6683618:pehd:4200:6684464,6685440:pehd:4200:6720364,6686027:pehd:4200:6719826,6686312:pehd:4200:6687228,6688871:pehd:4200:6714507,6690894:pehd:4200:6698464,6693641:pehd:4200:6696451,6710860:pehd:4200:6711561,6711680:pehd:4200:6712283,6712324:pehd:4200:6712785,6716688:pehd:4200:6717609,6718843:pehd:4200:6720245,6720803:pehd:4200:6721249,6740018:pehd:4200:6740804,6740709:pehd:4200:6745511,6744268:pe'}, {'unwanted_material': 'pet_clair', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0005167916399878171, 'nb_photo': 10, 'list_port_cont': '6608803,6712721,6754068,6800312,6806350,6808098,6876008,6940836', 'assoc_port': '6608146:6608803,6685991:6800312,6712332:6712721,6753416:6754068,6786466:6808098,6793236:6806350,6875674:6876008,6900378:6940836', 'assoc_mat': '6608146:pet_clair:4203:6608803,6685991:pet_clair:4203:6800312,6712332:pet_clair:4203:6712721,6753416:pet_clair:4203:6754068,6786466:pet_clair:4203:6808098,6793236:pet_clair:4203:6806350,6875674:pet_clair:4203:6876008,6900378:pet_clair:4203:6940836'}, {'unwanted_material': 'pet_clair', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.002615200546649331, 'nb_photo': 21, 'list_port_cont': '6600774,6602155,6638508,6669283,6673392,6694184,6695455,6712247,6723146,6740495,6742322,6751442,6754773', 'assoc_port': '6600540:6602155,6600552:6600774,6631482:6669283,6638162:6638508,6672700:6673392,6692502:6694184,6694740:6695455,6710867:6712247,6722817:6723146,6739465:6742322,6740030:6740495,6741911:6754773,6750987:6751442', 'assoc_mat': '6600540:pet_clair:4209:6602155,6600552:pet_clair:4209:6600774,6631482:pet_clair:4209:6669283,6638162:pet_clair:4209:6638508,6672700:pet_clair:4209:6673392,6692502:pet_clair:4209:6694184,6694740:pet_clair:4209:6695455,6710867:pet_clair:4209:6712247,6722817:pet_clair:4209:6723146,6739465:pet_clair:4209:6742322,6740030:pet_clair:4209:6740495,6741911:pet_clair:4209:6754773,6750987:pet_clair:4209:6751442'}, {'unwanted_material': 'pet_clair', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0001938470394354349, 'nb_photo': 4, 'list_port_cont': '6869295,6869655,6914936,6960440', 'assoc_port': '6868823:6869295,6869543:6869655,6914405:6914936,6919131:6960440', 'assoc_mat': '6868823:pet_clair:4209:6869295,6869543:pet_clair:4209:6869655,6914405:pet_clair:4209:6914936,6919131:pet_clair:4209:6960440'}, {'unwanted_material': 'pet_clair', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.0010334097253368944, 'nb_photo': 3, 'list_port_cont': '6617252,6617677,6633560', 'assoc_port': '6616962:6617252,6616964:6617677,6631478:6633560', 'assoc_mat': '6616962:pet_clair:4207:6617252,6616964:pet_clair:4207:6617677,6631478:pet_clair:4207:6633560'}, {'unwanted_material': 'pet_clair', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0015524153897367723, 'nb_photo': 1500, 'list_port_cont': '6600858,6600897,6601013,6601431,6602282,6602595,6603012,6603407,6606068,6607680,6608064,6608283,6609454,6610409,6610606,6610649,6611145,6614534,6615393,6615436,6615797,6616526,6617426,6618921,6620330,6620914,6621054,6621668,6621965,6621997,6622134,6622196,6622457,6624048,6625562,6626620,6626654,6627270,6628482,6629176,6629250,6634388,6634656,6634855,6635135,6635836,6638280,6638446,6639162,6640996,6642051,6642710,6650049,6650151,6650272,6650962,6658506,6664046,6666445,6668082,6668178,6669608,6672025,6674016,6674544,6674638,6674762,6675076,6675106,6675132,6675480,6676532,6676622,6677125,6677222,6677808,6678040,6678226,6678568,6678651,6678771,6678961,6678993,6679220,6681247,6687136,6691495,6691657,6692280,6693193,6693673,6693892,6694033,6694210,6694409,6695508,6697514,6698425,6698773,6698798,6699368,6699436,6705438,6706628,6706772,6707230,6709725,6711231,6711405,6711487,6712154,6712633,6712745,6713436,6713606,6713756,6714401,6716473,6716566,6717505,6717554,6718023,6718524,6719029,6719453,6719723,6720668,6720734,', 'assoc_port': '10844008:10846061,10844009:10845791,10844010:10846028,10844011:10845556,10844012:10845977,10844014:10845189,10844015:10845087,10844017:10845127,10844018:10844952,10844019:10845053,10844020:10844681,10844021:10844449,12107423:12108303,12107427:12108066,12107429:12107823,6600536:6601431,6600544:6600858,6600546:6601013,6600551:6600897,6601138:6602595,6601649:6602282,6602728:6603012,6602733:6603407,6604399:6608064,6605499:6610649,6605688:6606068,6606683:6607680,6607835:6610409,6607839:6608283,6609199:6609454,6610498:6610606,6610992:6611145,6614199:6614534,6614967:6615393,6614969:6615436,6615362:6615797,6616173:6616526,6616982:6617426,6618311:6618921,6620040:6620330,6620422:6621668,6620444:6621054,6620447:6620914,6621638:6624048,6621643:6622457,6621647:6622196,6621651:6622134,6621654:6621965,6621659:6621997,6625236:6625562,6626268:6626620,6626274:6626654,6627098:6627270,6627945:6628482,6628987:6629176,6628989:6629250,6630850:6634855,6630852:6674016,6630856:6634656,6630932:6674638,6630935:6674762,6630939:6675106,66', 'assoc_mat': '10844008:pet_clair:4211:10846061,10844009:pet_clair:4211:10845791,10844010:pet_clair:4211:10846028,10844011:pet_clair:4211:10845556,10844012:pet_clair:4211:10845977,10844014:pet_clair:4211:10845189,10844015:pet_clair:4211:10845087,10844017:pet_clair:4211:10845127,10844018:pet_clair:4211:10844952,10844019:pet_clair:4211:10845053,10844020:pet_clair:4211:10844681,10844021:pet_clair:4211:10844449,12107423:pet_clair:4211:12108303,12107427:pet_clair:4211:12108066,12107429:pet_clair:4211:12107823,6600536:pet_clair:4211:6601431,6600544:pet_clair:4211:6600858,6600546:pet_clair:4211:6601013,6600551:pet_clair:4211:6600897,6601138:pet_clair:4211:6602595,6601649:pet_clair:4211:6602282,6602728:pet_clair:4211:6603012,6602733:pet_clair:4211:6603407,6604399:pet_clair:4211:6608064,6605499:pet_clair:4211:6610649,6605688:pet_clair:4211:6606068,6606683:pet_clair:4211:6607680,6607835:pet_clair:4211:6610409,6607839:pet_clair:4211:6608283,6609199:pet_clair:4211:6609454,6610498:pet_clair:4211:6610606,6610992:pet_clair:4211:6611145,66'}, {'unwanted_material': 'pet_clair', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.9599310617320319, 'nb_photo': 267351, 'list_port_cont': '6601210,6601259,6601315,6601372,6601561,6601699,6601793,6601843,6602315,6603612,6603846,6603988,6604935,6606277,6606379,6607135,6607387,6607887,6608320,6608594,6608685,6608963,6609915,6610051,6610272,6610908,6611079,6613731,6614159,6615900,6616061,6616197,6616980,6617460,6617848,6618172,6618946,6620507,6620990,6621111,6621145,6621178,6621380,6621448,6621534,6622108,6622166,6622320,6622376,6622431,6622522,6622656,6622746,6626362,6626970,6627008,6627198,6627829,6628015,6628553,6628621,6629351,6629395,6635805,6635872,6635894,6635946,6635979,6636038,6636114,6636146,6636284,6636327,6636427,6636595,6636676,6636732,6636800,6637047,6637357,6637676,6637709,6637759,6637850,6637946,6637981,6638089,6638412,6638604,6638708,6638827,6638952,6638975,6639189,6639290,6639357,6639644,6639751,6639842,6639900,6639967,6640118,6640724,6640748,6640771,6640953,6641215,6641298,6641330,6641481,6641511,6641662,6641812,6641955,6642028,6642082,6642295,6643245,6643371,6643476,6643601,6643634,6643665,6643684,6643715,6643904,6644075,6644466,', 'assoc_port': '6600535:6601259,6600537:6601699,6600543:6601210,6600545:6601372,6600547:6601561,6600550:6601793,6600553:6601315,6601140:6602315,6601199:6601843,6602727:6603846,6602729:6603988,6602732:6603612,6604400:6604935,6604702:6606379,6605500:6606277,6605502:6607135,6606682:6608320,6606685:6607887,6606687:6607387,6607836:6608594,6607838:6608685,6608144:6608963,6609197:6610051,6609198:6609915,6609963:6610272,6610497:6611079,6610499:6610908,6612953:6613731,6613333:6614159,6614966:6616197,6614968:6616061,6615360:6615900,6616171:6616980,6616960:6618172,6616966:6617460,6616967:6617848,6618310:6618946,6620036:6620507,6620039:6621380,6620042:6620990,6620404:6621145,6620441:6621448,6620445:6621178,6620446:6621534,6620449:6621111,6621639:6622656,6621642:6622746,6621645:6622522,6621650:6622376,6621652:6622431,6621655:6622166,6621656:6622108,6621661:6622320,6625901:6626362,6626270:6626970,6626272:6627008,6626275:6627198,6627097:6627829,6627099:6628015,6627946:6628553,6627948:6628621,6628988:6629351,6628991:6629395,6630847:6635946,', 'assoc_mat': '6600535:pet_clair:3327:6601259,6600537:pet_clair:3327:6601699,6600543:pet_clair:3327:6601210,6600545:pet_clair:3327:6601372,6600547:pet_clair:3327:6601561,6600550:pet_clair:3327:6601793,6600553:pet_clair:3327:6601315,6601140:pet_clair:3327:6602315,6601199:pet_clair:3327:6601843,6602727:pet_clair:3327:6603846,6602729:pet_clair:3327:6603988,6602732:pet_clair:3327:6603612,6604400:pet_clair:3327:6604935,6604702:pet_clair:3327:6606379,6605500:pet_clair:3327:6606277,6605502:pet_clair:3327:6607135,6606682:pet_clair:3327:6608320,6606685:pet_clair:3327:6607887,6606687:pet_clair:3327:6607387,6607836:pet_clair:3327:6608594,6607838:pet_clair:3327:6608685,6608144:pet_clair:3327:6608963,6609197:pet_clair:3327:6610051,6609198:pet_clair:3327:6609915,6609963:pet_clair:3327:6610272,6610497:pet_clair:3327:6611079,6610499:pet_clair:3327:6610908,6612953:pet_clair:3327:6613731,6613333:pet_clair:3327:6614159,6614966:pet_clair:3327:6616197,6614968:pet_clair:3327:6616061,6615360:pet_clair:3327:6615900,6616171:pet_clair:3327:6616980,6'}, {'unwanted_material': 'pet_clair', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.013850132418607056, 'nb_photo': 729, 'list_port_cont': '6600932,6602056,6604868,6606116,6609176,6613074,6615622,6618504,6620175,6620851,6621896,6626788,6628359,6634256,6635400,6637083,6637447,6638371,6639240,6641570,6646011,6647331,6649288,6649483,6649916,6653442,6654690,6655705,6658463,6662388,6665196,6669581,6670064,6672613,6674519,6683665,6684474,6686801,6687235,6687462,6696450,6696819,6698459,6711564,6712276,6712777,6714501,6717602,6719815,6720155,6720212,6720236,6720365,6721245,6722531,6724155,6739274,6740798,6745510,6745796,6750242,6754194,6754554,6759416,6765275,6766695,6767363,6780396,6780522,6780718,6784027,6786850,6788647,6791335,6793696,6795535,6797659,6813917,6817661,6821368,6824094,6835198,6836547,6840209,6842441,6849227,6851786,6852367,6854528,6859033,6862731,6865772,6866324,6867968,6869265,6874404,6875758,6875978,6882732,6886808,6888105,6889504,6895291,6900326,6902507,6904839,6914449,6920746,6921620,6924256', 'assoc_port': '6600538:6600932,6601136:6602056,6604397:6604868,6605689:6606116,6608145:6609176,6612632:6613074,6615365:6615622,6618309:6618504,6620043:6620175,6620439:6620851,6621653:6621896,6626271:6626788,6627944:6628359,6630848:6646011,6631070:6649288,6631186:6634256,6631194:6649916,6631961:6655705,6632583:6662388,6632786:6635400,6632966:6670064,6635673:6637447,6635681:6637083,6637843:6638371,6638774:6639240,6641286:6641570,6646447:6647331,6648940:6649483,6650951:6653442,6654041:6654690,6657889:6658463,6664429:6665196,6668950:6669581,6671809:6672613,6673895:6674519,6681680:6683665,6683618:6684474,6685440:6720365,6685511:6720212,6686027:6719815,6686041:6720155,6686295:6687462,6686312:6687235,6686325:6686801,6688871:6714501,6690894:6698459,6693641:6696450,6696476:6696819,6710860:6711564,6711680:6712276,6712324:6712777,6716688:6717602,6718843:6720236,6720803:6721245,6722354:6722531,6723892:6724155,6738748:6739274,6740018:6740798,6740709:6745510,6744268:6745796,6748062:6750242,6753406:6754554,6753419:6754194,6759057:6759416,', 'assoc_mat': '6600538:pet_clair:4200:6600932,6601136:pet_clair:4200:6602056,6604397:pet_clair:4200:6604868,6605689:pet_clair:4200:6606116,6608145:pet_clair:4200:6609176,6612632:pet_clair:4200:6613074,6615365:pet_clair:4200:6615622,6618309:pet_clair:4200:6618504,6620043:pet_clair:4200:6620175,6620439:pet_clair:4200:6620851,6621653:pet_clair:4200:6621896,6626271:pet_clair:4200:6626788,6627944:pet_clair:4200:6628359,6630848:pet_clair:4200:6646011,6631070:pet_clair:4200:6649288,6631186:pet_clair:4200:6634256,6631194:pet_clair:4200:6649916,6631961:pet_clair:4200:6655705,6632583:pet_clair:4200:6662388,6632786:pet_clair:4200:6635400,6632966:pet_clair:4200:6670064,6635673:pet_clair:4200:6637447,6635681:pet_clair:4200:6637083,6637843:pet_clair:4200:6638371,6638774:pet_clair:4200:6639240,6641286:pet_clair:4200:6641570,6646447:pet_clair:4200:6647331,6648940:pet_clair:4200:6649483,6650951:pet_clair:4200:6653442,6654041:pet_clair:4200:6654690,6657889:pet_clair:4200:6658463,6664429:pet_clair:4200:6665196,6668950:pet_clair:4200:6669581,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.00022092315643821876, 'nb_photo': 2, 'list_port_cont': '6712712,6806360', 'assoc_port': '6712332:6712712,6793236:6806360', 'assoc_mat': '6712332:pet_fonce:4203:6712712,6793236:pet_fonce:4203:6806360'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0003846699616495868, 'nb_photo': 87, 'list_port_cont': '6600861,6603394,6607677,6615422,6622000,6622197,6624062,6627276,6628479,6629185,6634858,6635145,6672029,6674545,6675144,6675478,6677810,6678775,6691486,6694039,6698430,6699376,6699426,6707232,6719024,6720655,6721843,6723783,6724752,6724915,6725834,6730262,6732433,6741928,6743868,6751578,6751686,6754292,6756063,6768401,6769194,6775051,6780889,6782985,6783127,6789494,6789900,6792092,6794401,6795573,6800465,6800534,6800819,6801501,6808800,6808842,6835780,6855452,6869892,6885665,6917719,6920225,6922977,10844443', 'assoc_port': '10844021:10844443,6600544:6600861,6602733:6603394,6606683:6607677,6614969:6615422,6621638:6624062,6621647:6622197,6621659:6622000,6627098:6627276,6627945:6628479,6628987:6629185,6630850:6634858,6631069:6675478,6631193:6635145,6631960:6677810,6632714:6678775,6635676:6694039,6640592:6707232,6647212:6719024,6651292:6721843,6654038:6724915,6654837:6725834,6668952:6751578,6671805:6756063,6671810:6672029,6673889:6674545,6674723:6675144,6683614:6789900,6683620:6691486,6686021:6855452,6686031:6800465,6686094:6800534,6686298:6800819,6686318:6801501,6688870:6732433,6690893:6730262,6694730:6699426,6696471:6699376,6696477:6698430,6720298:6720655,6723498:6723783,6724591:6724752,6741314:6741928,6743337:6743868,6750985:6751686,6753415:6754292,6764851:6808842,6765559:6808800,6767894:6768401,6768944:6769194,6773721:6775051,6780010:6780889,6782241:6782985,6782244:6783127,6788947:6789494,6791774:6792092,6793940:6794401,6795260:6795573,6833511:6869892,6835299:6835780,6885269:6885665,6916370:6917719,6919132:6920225,6920914:692297', 'assoc_mat': '10844021:pet_fonce:4211:10844443,6600544:pet_fonce:4211:6600861,6602733:pet_fonce:4211:6603394,6606683:pet_fonce:4211:6607677,6614969:pet_fonce:4211:6615422,6621638:pet_fonce:4211:6624062,6621647:pet_fonce:4211:6622197,6621659:pet_fonce:4211:6622000,6627098:pet_fonce:4211:6627276,6627945:pet_fonce:4211:6628479,6628987:pet_fonce:4211:6629185,6630850:pet_fonce:4211:6634858,6631069:pet_fonce:4211:6675478,6631193:pet_fonce:4211:6635145,6631960:pet_fonce:4211:6677810,6632714:pet_fonce:4211:6678775,6635676:pet_fonce:4211:6694039,6640592:pet_fonce:4211:6707232,6647212:pet_fonce:4211:6719024,6651292:pet_fonce:4211:6721843,6654038:pet_fonce:4211:6724915,6654837:pet_fonce:4211:6725834,6668952:pet_fonce:4211:6751578,6671805:pet_fonce:4211:6756063,6671810:pet_fonce:4211:6672029,6673889:pet_fonce:4211:6674545,6674723:pet_fonce:4211:6675144,6683614:pet_fonce:4211:6789900,6683620:pet_fonce:4211:6691486,6686021:pet_fonce:4211:6855452,6686031:pet_fonce:4211:6800465,6686094:pet_fonce:4211:6800534,6686298:pet_fonce:4211:6800819'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0027937857287839945, 'nb_photo': 263, 'list_port_cont': '6601312,6601378,6602302,6604937,6607386,6607897,6609918,6610056,6614156,6616198,6617469,6618949,6621166,6621524,6622171,6622318,6622432,6622523,6627007,6627194,6628022,6628558,6628620,6629360,6629385,6635890,6636150,6636335,6637041,6637956,6638951,6639300,6639360,6639649,6639843,6639963,6640116,6641206,6641660,6642031,6642088,6643666,6643686,6644074,6645311,6645758,6647413,6648013,6648348,6651389,6651678,6652033,6652947,6653022,6654605,6655887,6658048,6659096,6660216,6665644,6665949,6668610,6672473,6673067,6674828,6675455,6682558,6684379,6686720,6687693,6687751,6688499,6688987,6689537,6689587,6689850,6690097,6690214,6690635,6692361,6692530,6692691,6693861,6694779,6695712,6696111,6697041,6697340,6697715,6697768,6697941,6698112,6698730,6698987,6711529,6712340,6712870,6713125,6713218,6713281,6719368,6721992,6722018,6722072,6722229,6723374,6723733,6724035,6725340,6740139,6740418,6742670,6743702,6744133,6748415,6748972,6749009,6749528,6750026,6751763,6754264,6754530,6758447,6759452,6760150,6760421,6765840,6766308,', 'assoc_port': '6600545:6601378,6600553:6601312,6601140:6602302,6604400:6604937,6606685:6607897,6606687:6607386,6609197:6610056,6609198:6609918,6613333:6614156,6614966:6616198,6616966:6617469,6618310:6618949,6620445:6621166,6620446:6621524,6621645:6622523,6621652:6622432,6621655:6622171,6621661:6622318,6626272:6627007,6626275:6627194,6627099:6628022,6627946:6628558,6627948:6628620,6628988:6629360,6628991:6629385,6631066:6641660,6631073:6639649,6631075:6639963,6631076:6639360,6631185:6638951,6631476:6640116,6631964:6642088,6632584:6645758,6632785:6635890,6632788:6643666,6632880:6636335,6632882:6644074,6632968:6645311,6633861:6637041,6635680:6636150,6637237:6637956,6637846:6639300,6638772:6639843,6640591:6641206,6640596:6643686,6641258:6642031,6646445:6648013,6646448:6647413,6647213:6648348,6649832:6652033,6650508:6651389,6650511:6651678,6650952:6652947,6652019:6653022,6653519:6654605,6654835:6655887,6654836:6659096,6656899:6658048,6657892:6660216,6664425:6665644,6664427:6665949,6667559:6668610,6671807:6672473,6671811:6673067,', 'assoc_mat': '6600545:pet_fonce:3327:6601378,6600553:pet_fonce:3327:6601312,6601140:pet_fonce:3327:6602302,6604400:pet_fonce:3327:6604937,6606685:pet_fonce:3327:6607897,6606687:pet_fonce:3327:6607386,6609197:pet_fonce:3327:6610056,6609198:pet_fonce:3327:6609918,6613333:pet_fonce:3327:6614156,6614966:pet_fonce:3327:6616198,6616966:pet_fonce:3327:6617469,6618310:pet_fonce:3327:6618949,6620445:pet_fonce:3327:6621166,6620446:pet_fonce:3327:6621524,6621645:pet_fonce:3327:6622523,6621652:pet_fonce:3327:6622432,6621655:pet_fonce:3327:6622171,6621661:pet_fonce:3327:6622318,6626272:pet_fonce:3327:6627007,6626275:pet_fonce:3327:6627194,6627099:pet_fonce:3327:6628022,6627946:pet_fonce:3327:6628558,6627948:pet_fonce:3327:6628620,6628988:pet_fonce:3327:6629360,6628991:pet_fonce:3327:6629385,6631066:pet_fonce:3327:6641660,6631073:pet_fonce:3327:6639649,6631075:pet_fonce:3327:6639963,6631076:pet_fonce:3327:6639360,6631185:pet_fonce:3327:6638951,6631476:pet_fonce:3327:6640116,6631964:pet_fonce:3327:6642088,6632584:pet_fonce:3327:6645758,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9433959349191054, 'nb_photo': 1865, 'list_port_cont': '6600921,6602052,6604879,6606107,6609173,6613064,6615625,6618497,6620185,6620862,6621905,6626786,6628358,6634244,6635391,6637070,6637445,6638364,6639248,6641566,6646009,6647335,6649279,6649476,6649915,6653441,6654686,6655703,6658466,6662391,6665191,6669589,6670061,6672609,6674517,6683670,6684465,6686804,6687227,6687466,6696439,6696818,6698462,6711554,6712271,6712775,6714495,6717596,6719814,6720150,6720211,6720250,6720367,6721247,6722527,6724149,6739286,6740801,6745519,6745787,6750252,6754190,6754558,6759425,6765276,6766699,6767360,6780401,6780523,6780723,6784025,6786849,6788646,6791336,6793695,6795539,6797667,6813921,6817652,6821383,6824097,6835196,6836551,6840207,6842434,6849224,6851782,6852366,6854523,6859029,6862727,6865773,6866335,6867976,6869266,6874407,6875753,6875975,6882723,6886803,6888103,6889495,6895281,6900334,6902509,6904835,6914448,6920755,6921623,6924260', 'assoc_port': '6600538:6600921,6601136:6602052,6604397:6604879,6605689:6606107,6608145:6609173,6612632:6613064,6615365:6615625,6618309:6618497,6620043:6620185,6620439:6620862,6621653:6621905,6626271:6626786,6627944:6628358,6630848:6646009,6631070:6649279,6631186:6634244,6631194:6649915,6631961:6655703,6632583:6662391,6632786:6635391,6632966:6670061,6635673:6637445,6635681:6637070,6637843:6638364,6638774:6639248,6641286:6641566,6646447:6647335,6648940:6649476,6650951:6653441,6654041:6654686,6657889:6658466,6664429:6665191,6668950:6669589,6671809:6672609,6673895:6674517,6681680:6683670,6683618:6684465,6685440:6720367,6685511:6720211,6686027:6719814,6686041:6720150,6686295:6687466,6686312:6687227,6686325:6686804,6688871:6714495,6690894:6698462,6693641:6696439,6696476:6696818,6710860:6711554,6711680:6712271,6712324:6712775,6716688:6717596,6718843:6720250,6720803:6721247,6722354:6722527,6723892:6724149,6738748:6739286,6740018:6740801,6740709:6745519,6744268:6745787,6748062:6750252,6753406:6754558,6753419:6754190,6759057:6759425,', 'assoc_mat': '6600538:pet_fonce:4200:6600921,6601136:pet_fonce:4200:6602052,6604397:pet_fonce:4200:6604879,6605689:pet_fonce:4200:6606107,6608145:pet_fonce:4200:6609173,6612632:pet_fonce:4200:6613064,6615365:pet_fonce:4200:6615625,6618309:pet_fonce:4200:6618497,6620043:pet_fonce:4200:6620185,6620439:pet_fonce:4200:6620862,6621653:pet_fonce:4200:6621905,6626271:pet_fonce:4200:6626786,6627944:pet_fonce:4200:6628358,6630848:pet_fonce:4200:6646009,6631070:pet_fonce:4200:6649279,6631186:pet_fonce:4200:6634244,6631194:pet_fonce:4200:6649915,6631961:pet_fonce:4200:6655703,6632583:pet_fonce:4200:6662391,6632786:pet_fonce:4200:6635391,6632966:pet_fonce:4200:6670061,6635673:pet_fonce:4200:6637445,6635681:pet_fonce:4200:6637070,6637843:pet_fonce:4200:6638364,6638774:pet_fonce:4200:6639248,6641286:pet_fonce:4200:6641566,6646447:pet_fonce:4200:6647335,6648940:pet_fonce:4200:6649476,6650951:pet_fonce:4200:6653441,6654041:pet_fonce:4200:6654686,6657889:pet_fonce:4200:6658466,6664429:pet_fonce:4200:6665191,6668950:pet_fonce:4200:6669589,6'}, {'unwanted_material': 'pet_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0009264502462378221, 'nb_photo': 9, 'list_port_cont': '6608814,6660097,6712722,6735145,6799275,6808109,6869931', 'assoc_port': '6608146:6608814,6632879:6660097,6685476:6799275,6690887:6735145,6712332:6712722,6786466:6808109,6869544:6869931', 'assoc_mat': '6608146:pet_opaque:4203:6608814,6632879:pet_opaque:4203:6660097,6685476:pet_opaque:4203:6799275,6690887:pet_opaque:4203:6735145,6712332:pet_opaque:4203:6712722,6786466:pet_opaque:4203:6808109,6869544:pet_opaque:4203:6869931'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007255625347838711, 'nb_photo': 19, 'list_port_cont': '6616740,6617521,6620419,6621938,6627043,6638500,6668139,6668209,6670564,6670896,6678093,6740485,6791207', 'assoc_port': '6616168:6616740,6616963:6617521,6620037:6620419,6621646:6621938,6626722:6627043,6631190:6668139,6631196:6668209,6632661:6670564,6632883:6670896,6638162:6638500,6677866:6678093,6740030:6740485,6790915:6791207', 'assoc_mat': '6616168:pet_opaque:4209:6616740,6616963:pet_opaque:4209:6617521,6620037:pet_opaque:4209:6620419,6621646:pet_opaque:4209:6621938,6626722:pet_opaque:4209:6627043,6631190:pet_opaque:4209:6668139,6631196:pet_opaque:4209:6668209,6632661:pet_opaque:4209:6670564,6632883:pet_opaque:4209:6670896,6638162:pet_opaque:4209:6638500,6677866:pet_opaque:4209:6678093,6740030:pet_opaque:4209:6740485,6790915:pet_opaque:4209:6791207'}, {'unwanted_material': 'pet_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0016345171833525593, 'nb_photo': 222, 'list_port_cont': '6600901,6602283,6603013,6606069,6608294,6610401,6610657,6611146,6614528,6615400,6621062,6621675,6621998,6622129,6622205,6626613,6629184,6629244,6634651,6635837,6638286,6639164,6650157,6668179,6669616,6672038,6674023,6674634,6674773,6675099,6675136,6677119,6677811,6678215,6678578,6678957,6679224,6681250,6691510,6691659,6693900,6694213,6694417,6698434,6698768,6698799,6699430,6711411,6711493,6712146,6712497,6712754,6713439,6716561,6717501,6717546,6718028,6719452,6720657,6720722,6724914,6725690,6725833,6728841,6729870,6730329,6730727,6731863,6732437,6735376,6738126,6740205,6740607,6741938,6743382,6745286,6751579,6751673,6754142,6754990,6755968,6756060,6756975,6762171,6763524,6767274,6768410,6773018,6774679,6775056,6778932,6780264,6780486,6783061,6791499,6793831,6794248,6794400,6795572,6796823,6799103,6799441,6799779,6800492,6800530,6801272,6801402,6806174,6808133,6808682,6808713,6808832,6808873,6809086,6810005,6815419,6822330,6839899,6842610,6853846,6855228,6855448,6863478,6866679,6869888,6870654,6875922,6890225,', 'assoc_port': '10844011:10845551,10844021:10844440,6600551:6600901,6601649:6602283,6602728:6603013,6605499:6610657,6605688:6606069,6607835:6610401,6607839:6608294,6610992:6611146,6614199:6614528,6614967:6615400,6620422:6621675,6620444:6621062,6621647:6622205,6621651:6622129,6621659:6621998,6626268:6626613,6628987:6629184,6628989:6629244,6630852:6674023,6630856:6634651,6630932:6674634,6630935:6674773,6630939:6675099,6631489:6677119,6631960:6677811,6632585:6678215,6632660:6678578,6632877:6678957,6632963:6679224,6633862:6635837,6635671:6693900,6635682:6694213,6637236:6698768,6637845:6638286,6638776:6639164,6640595:6806174,6647215:6717546,6648944:6650157,6653523:6725690,6654038:6724914,6654837:6725833,6655426:6728841,6656895:6729870,6657891:6731863,6666361:6668179,6668952:6751579,6668953:6669616,6671805:6756060,6671810:6672038,6672701:6755968,6674723:6675136,6681005:6681250,6683620:6691510,6685431:6799103,6685494:6799441,6685525:6799779,6686006:6855228,6686021:6855448,6686094:6800530,6686269:6800492,6686302:6801272,6686308:6801', 'assoc_mat': '10844011:pet_opaque:4211:10845551,10844021:pet_opaque:4211:10844440,6600551:pet_opaque:4211:6600901,6601649:pet_opaque:4211:6602283,6602728:pet_opaque:4211:6603013,6605499:pet_opaque:4211:6610657,6605688:pet_opaque:4211:6606069,6607835:pet_opaque:4211:6610401,6607839:pet_opaque:4211:6608294,6610992:pet_opaque:4211:6611146,6614199:pet_opaque:4211:6614528,6614967:pet_opaque:4211:6615400,6620422:pet_opaque:4211:6621675,6620444:pet_opaque:4211:6621062,6621647:pet_opaque:4211:6622205,6621651:pet_opaque:4211:6622129,6621659:pet_opaque:4211:6621998,6626268:pet_opaque:4211:6626613,6628987:pet_opaque:4211:6629184,6628989:pet_opaque:4211:6629244,6630852:pet_opaque:4211:6674023,6630856:pet_opaque:4211:6634651,6630932:pet_opaque:4211:6674634,6630935:pet_opaque:4211:6674773,6630939:pet_opaque:4211:6675099,6631489:pet_opaque:4211:6677119,6631960:pet_opaque:4211:6677811,6632585:pet_opaque:4211:6678215,6632660:pet_opaque:4211:6678578,6632877:pet_opaque:4211:6678957,6632963:pet_opaque:4211:6679224,6633862:pet_opaque:4211:6635'}, {'unwanted_material': 'pet_opaque', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.006625372408584668, 'nb_photo': 447, 'list_port_cont': '6600927,6602060,6604867,6606114,6609165,6613073,6615618,6618507,6620186,6620865,6621897,6626785,6628362,6634254,6635389,6637069,6637443,6638357,6639233,6641563,6646016,6647330,6649289,6649475,6649908,6653440,6654682,6655700,6658472,6662384,6665186,6669577,6670052,6672606,6674518,6683671,6684478,6686802,6687225,6687464,6696442,6696817,6698458,6711562,6712277,6712786,6714508,6717607,6719819,6720158,6720206,6720247,6720358,6721243,6722532,6724146,6739282,6740800,6745521,6745789,6750245,6754191,6754564,6759415,6765265,6766702,6767358,6780406,6780528,6780714,6784016,6786843,6788645,6791330,6793704,6795548,6797668,6817665,6821371,6824096,6835190,6840200,6842443,6849228,6851781,6852374,6854530,6859022,6862735,6865768,6866326,6867982,6869259,6874403,6875763,6882730,6886804,6888096,6889498,6895283,6900338,6902503,6904834,6914452,6920753,6921628,6924247', 'assoc_port': '6600538:6600927,6601136:6602060,6604397:6604867,6605689:6606114,6608145:6609165,6612632:6613073,6615365:6615618,6618309:6618507,6620043:6620186,6620439:6620865,6621653:6621897,6626271:6626785,6627944:6628362,6630848:6646016,6631070:6649289,6631186:6634254,6631194:6649908,6631961:6655700,6632583:6662384,6632786:6635389,6632966:6670052,6635673:6637443,6635681:6637069,6637843:6638357,6638774:6639233,6641286:6641563,6646447:6647330,6648940:6649475,6650951:6653440,6654041:6654682,6657889:6658472,6664429:6665186,6668950:6669577,6671809:6672606,6673895:6674518,6681680:6683671,6683618:6684478,6685440:6720358,6685511:6720206,6686027:6719819,6686041:6720158,6686295:6687464,6686312:6687225,6686325:6686802,6688871:6714508,6690894:6698458,6693641:6696442,6696476:6696817,6710860:6711562,6711680:6712277,6712324:6712786,6716688:6717607,6718843:6720247,6720803:6721243,6722354:6722532,6723892:6724146,6738748:6739282,6740018:6740800,6740709:6745521,6744268:6745789,6748062:6750245,6753406:6754564,6753419:6754191,6759057:6759415,', 'assoc_mat': '6600538:pet_opaque:4200:6600927,6601136:pet_opaque:4200:6602060,6604397:pet_opaque:4200:6604867,6605689:pet_opaque:4200:6606114,6608145:pet_opaque:4200:6609165,6612632:pet_opaque:4200:6613073,6615365:pet_opaque:4200:6615618,6618309:pet_opaque:4200:6618507,6620043:pet_opaque:4200:6620186,6620439:pet_opaque:4200:6620865,6621653:pet_opaque:4200:6621897,6626271:pet_opaque:4200:6626785,6627944:pet_opaque:4200:6628362,6630848:pet_opaque:4200:6646016,6631070:pet_opaque:4200:6649289,6631186:pet_opaque:4200:6634254,6631194:pet_opaque:4200:6649908,6631961:pet_opaque:4200:6655700,6632583:pet_opaque:4200:6662384,6632786:pet_opaque:4200:6635389,6632966:pet_opaque:4200:6670052,6635673:pet_opaque:4200:6637443,6635681:pet_opaque:4200:6637069,6637843:pet_opaque:4200:6638357,6638774:pet_opaque:4200:6639233,6641286:pet_opaque:4200:6641563,6646447:pet_opaque:4200:6647330,6648940:pet_opaque:4200:6649475,6650951:pet_opaque:4200:6653440,6654041:pet_opaque:4200:6654682,6657889:pet_opaque:4200:6658472,6664429:pet_opaque:4200:6665186,'}, {'unwanted_material': 'textiles_sanitaires', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 5.317677982697793e-05, 'nb_photo': 1, 'list_port_cont': '6754069', 'assoc_port': '6753416:6754069', 'assoc_mat': '6753416:textiles_sanitaires:4203:6754069'}, {'unwanted_material': 'textiles_sanitaires', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.00014015295179752374, 'nb_photo': 14, 'list_port_cont': '6608063,6675111,6678967,6709734,6720656,6724749,6725824,6735649,6787860,6791503,6813248,6828520,6855445,10845973', 'assoc_port': '10844012:10845973,6604399:6608063,6630939:6675111,6632877:6678967,6654837:6725824,6663625:6735649,6686021:6855445,6709374:6709734,6720298:6720656,6724591:6724749,6787210:6787860,6790919:6791503,6812962:6813248,6814154:6828520', 'assoc_mat': '10844012:textiles_sanitaires:4211:10845973,6604399:textiles_sanitaires:4211:6608063,6630939:textiles_sanitaires:4211:6675111,6632877:textiles_sanitaires:4211:6678967,6654837:textiles_sanitaires:4211:6725824,6663625:textiles_sanitaires:4211:6735649,6686021:textiles_sanitaires:4211:6855445,6709374:textiles_sanitaires:4211:6709734,6720298:textiles_sanitaires:4211:6720656,6724591:textiles_sanitaires:4211:6724749,6787210:textiles_sanitaires:4211:6787860,6790919:textiles_sanitaires:4211:6791503,6812962:textiles_sanitaires:4211:6813248,6814154:textiles_sanitaires:4211:6828520'})
select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in
                       (select mtr_portfolio_id from MTRPhoto.dashboard_results
                       where dashboard_run_id in(449271,454376,454388,454411,454399,454424,451519,452689,468274,455185,456478,457640,459828,461074,462392,463490,464885,465870,469411,470781,897152,474755,474338,475306,477478,478927,479886));
after get_hostname_from_raspi
 hasthag :  emr
 hasthag that could be used but not yet :  _______carton
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______emr' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  jrm
 hasthag that could be used but not yet :  _______papier
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______jrm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  aluminium
 hasthag that could be used but not yet :  _______metal
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______aluminium' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  pet_fonce
 hasthag that could be used but not yet :  _______pet_fonce
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______pet_fonce' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  gm
 hasthag that could be used but not yet :  _______papier
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______gm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
after impurety_average_per_hashtag
{'number_of_analysed_photos': ((29394,),), 'unwanted_material_monthly_percentage': ((0.04166288885557681,),), 'material_repartition': (('pet_clair', 11530), ('pehd_pp', 8058), ('pet_fonce', 2026), ('emr', 805), ('ela', 779), ('gm', 319), ('pcnc', 86)), 'material_dict': {'pet_clair': 11530, 'pehd_pp': 8058, 'pet_fonce': 2026, 'autres': 1989}, 'coverage_data': (('2022/08/31/', 0.691297), ('2022/08/30/', 0.653266), ('2022/08/29/', 0.840173), ('2022/08/27/', 1.0), ('2022/08/26/', 0.767143), ('2022/08/25/', 0.354839), ('2022/08/24/', 0.807854), ('2022/08/23/', 0.76), ('2022/08/22/', 0.767742), ('2022/08/20/', 0.138662), ('2022/08/19/', 0.829545), ('2022/08/18/', 0.76544), ('2022/08/17/', 0.765348), ('2022/08/16/', 0.809002), ('2022/08/15/', 0.139015), ('2022/08/13/', 0.777927), ('2022/08/12/', 0.815502), ('2022/08/11/', 0.639485), ('2022/08/10/', 0.820269), ('2022/08/09/', 0.684094), ('2022/08/08/', 0.52381), ('2022/08/06/', 0.376658), ('2022/08/05/', 0.820709), ('2022/08/04/', 0.139015), ('2022/08/03/', 0.4419), ('2022/08/02/', 0.838305), ('2022/08/01/', 0.851022)), 'impurety_average_data': ((datetime.date(2022, 8, 2), 0.014282331762157728, 103), (datetime.date(2022, 8, 3), 0.03494206677880239, 211), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.04557840319999026, 54), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.02268268592206632, 320), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.029592761588569258, 277), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.02985658365132344, 351), (datetime.date(2022, 8, 24), 0.02890717923269598, 369), (datetime.date(2022, 8, 25), 0.02964405365672207, 385), (datetime.date(2022, 8, 26), 0.027188360813364603, 209), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.023942954543620824, 233), (datetime.date(2022, 8, 30), 0.03176500481166622, 362), (datetime.date(2022, 8, 31), 0.024400799858355637, 340)), 'impurety_average_data_per_hashtag': {'emr': ((datetime.date(2022, 8, 2), 0.014497225753743103, 90), (datetime.date(2022, 8, 3), 0.035407726190541, 201), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.051389769677544335, 43), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.022808792662868328, 304), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.03144342737311807, 238), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.030080632780942033, 330), (datetime.date(2022, 8, 24), 0.029230789634089597, 345), (datetime.date(2022, 8, 25), 0.029901630015503007, 357), (datetime.date(2022, 8, 26), 0.028097448563616227, 175), (datetime.date(2022, 8, 29), 0.03005524006484819, 165), (datetime.date(2022, 8, 30), 0.03263495327830263, 307), (datetime.date(2022, 8, 31), 0.02525588399363416, 301)), 'jrm': ((datetime.date(2022, 8, 2), 0.012085072487249132, 13), (datetime.date(2022, 8, 19), 0.010114825333022708, 10), (datetime.date(2022, 8, 23), 0.024498907798673017, 5), (datetime.date(2022, 8, 26), 0.0052974707656706635, 12), (datetime.date(2022, 8, 29), 0.0180872193641313, 5), (datetime.date(2022, 8, 30), 0.012309361035885383, 18), (datetime.date(2022, 8, 31), 0.0, 30)), 'aluminium': ((datetime.date(2022, 8, 3), 0.0029466085982426723, 10), (datetime.date(2022, 8, 6), 0.0, 11), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.0027249051959917212, 35), (datetime.date(2022, 8, 30), 0.0, 5)), 'pet_fonce': ((datetime.date(2022, 8, 9), 0.01691330253037371, 16), (datetime.date(2022, 8, 19), 0.01514668242834379, 6), (datetime.date(2022, 8, 29), 0.0, 6)), 'gm': ((datetime.date(2022, 8, 19), 0.0036688743500458555, 23), (datetime.date(2022, 8, 23), 2.7541150063779214e-07, 16), (datetime.date(2022, 8, 24), 0.009998135847154843, 24), (datetime.date(2022, 8, 25), 0.007110951820118182, 28), (datetime.date(2022, 8, 26), 0.0026635914561474365, 22), (datetime.date(2022, 8, 29), 0.005845156606103965, 22), (datetime.date(2022, 8, 30), 0.01774597693816732, 32), (datetime.date(2022, 8, 31), 0.04037847154938461, 9))}, 'quality_array': [['7.002742885641196', '01082022'], ['7.276538764582762', '02082022'], ['7.489191991610414', '03082022'], ['7.1515808570282635', '04082022'], ['7.481548146738859', '05082022'], ['7.304119764213931', '06082022'], ['7.180322525692267', '08082022'], ['6.878113539107664', '09082022'], ['7.100998473868195', '10082022'], ['7.303181417036363', '11082022'], ['6.929539513848952', '12082022'], ['6.949887273916412', '13082022'], ['6.952864344290567', '15082022'], ['6.946439599449299', '16082022'], ['8.200164971876198', '17082022'], ['7.414826551741067', '18082022'], ['7.567049552876916', '19082022'], ['8.275572615180698', '22082022'], ['8.683058890962057', '23082022'], ['9.447587725285345', '24082022'], ['9.907266828738836', '25082022'], ['9.398694081509628', '26082022'], ['3.699836545530341', '28082022'], ['9.278913980706943', '29082022'], ['9.808918378829057', '30082022'], ['12.679394134058633', '31082022']], 'number_of_batch': ((325,),), 'datou_id_sts': 3980, 'map_hashtag_number_mat': {'hash_to_mat_nb': ({'unwanted_material': 'autre', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.025985557831013643, 'nb_photo': 16651, 'list_port_cont': '6601211,6601249,6601319,6601376,6601558,6601691,6601783,6601837,6602312,6603611,6603837,6603984,6604939,6606283,6606361,6607127,6607396,6607889,6608318,6608592,6608684,6608960,6609911,6610060,6610278,6610907,6611078,6613725,6614148,6615899,6616064,6616199,6616975,6617461,6617846,6618177,6618947,6620505,6620992,6621119,6621146,6621174,6621388,6621447,6621537,6622105,6622162,6622311,6622378,6622426,6622514,6622647,6622758,6626372,6626974,6626997,6627200,6627837,6628024,6628557,6628624,6629354,6629396,6635806,6635864,6635897,6635947,6635974,6636029,6636109,6636139,6636295,6636316,6636423,6636599,6636674,6636727,6636791,6637048,6637689,6637708,6637756,6637854,6637954,6637974,6638095,6638421,6638597,6638696,6638833,6638947,6638968,6639187,6639299,6639353,6639652,6639761,6639844,6639904,6639965,6640123,6640725,6640745,6640776,6640959,6641209,6641306,6641333,6641484,6641521,6641655,6641820,6641954,6642026,6642079,6642285,6643237,6643372,6643479,6643603,6643631,6643664,6643695,6643718,6643895,6644078,6644458,6644663,', 'assoc_port': '6600535:6601249,6600537:6601691,6600543:6601211,6600545:6601376,6600547:6601558,6600550:6601783,6600553:6601319,6601140:6602312,6601199:6601837,6602727:6603837,6602729:6603984,6602732:6603611,6604400:6604939,6604702:6606361,6605500:6606283,6605502:6607127,6606682:6608318,6606685:6607889,6606687:6607396,6607836:6608592,6607838:6608684,6608144:6608960,6609197:6610060,6609198:6609911,6609963:6610278,6610497:6611078,6610499:6610907,6612953:6613725,6613333:6614148,6614966:6616199,6614968:6616064,6615360:6615899,6616171:6616975,6616960:6618177,6616966:6617461,6616967:6617846,6618310:6618947,6620036:6620505,6620039:6621388,6620042:6620992,6620404:6621146,6620441:6621447,6620445:6621174,6620446:6621537,6620449:6621119,6621639:6622647,6621642:6622758,6621645:6622514,6621650:6622378,6621652:6622426,6621655:6622162,6621656:6622105,6621661:6622311,6625901:6626372,6626270:6626974,6626272:6626997,6626275:6627200,6627097:6627837,6627099:6628024,6627946:6628557,6627948:6628624,6628988:6629354,6628991:6629396,6630847:6635947,', 'assoc_mat': '6600535:autre:3327:6601249,6600537:autre:3327:6601691,6600543:autre:3327:6601211,6600545:autre:3327:6601376,6600547:autre:3327:6601558,6600550:autre:3327:6601783,6600553:autre:3327:6601319,6601140:autre:3327:6602312,6601199:autre:3327:6601837,6602727:autre:3327:6603837,6602729:autre:3327:6603984,6602732:autre:3327:6603611,6604400:autre:3327:6604939,6604702:autre:3327:6606361,6605500:autre:3327:6606283,6605502:autre:3327:6607127,6606682:autre:3327:6608318,6606685:autre:3327:6607889,6606687:autre:3327:6607396,6607836:autre:3327:6608592,6607838:autre:3327:6608684,6608144:autre:3327:6608960,6609197:autre:3327:6610060,6609198:autre:3327:6609911,6609963:autre:3327:6610278,6610497:autre:3327:6611078,6610499:autre:3327:6610907,6612953:autre:3327:6613725,6613333:autre:3327:6614148,6614966:autre:3327:6616199,6614968:autre:3327:6616064,6615360:autre:3327:6615899,6616171:autre:3327:6616975,6616960:autre:3327:6618177,6616966:autre:3327:6617461,6616967:autre:3327:6617846,6618310:autre:3327:6618947,6620036:autre:3327:662050'}, {'unwanted_material': 'barquette_avec_film', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0050634087913797535, 'nb_photo': 1051, 'list_port_cont': '6601216,6601255,6601316,6601366,6601556,6601694,6601795,6601849,6602314,6603610,6603845,6603981,6604938,6606272,6606380,6607136,6607388,6607885,6608324,6608593,6608675,6608967,6609910,6610048,6610273,6611082,6613721,6614147,6615898,6616193,6616972,6617468,6618176,6618950,6620509,6620988,6621144,6621167,6621391,6621449,6622102,6622163,6622316,6622379,6622436,6622519,6622752,6626364,6626973,6627004,6627197,6627840,6628023,6628564,6628623,6629352,6629394,6635811,6635862,6635901,6635945,6635972,6636036,6636112,6636138,6636318,6636424,6636724,6637044,6637685,6637716,6637764,6637852,6637945,6637984,6638094,6638596,6638700,6638835,6638944,6638974,6639298,6639361,6639645,6639764,6639852,6639896,6639968,6640121,6640722,6640783,6640963,6641211,6641294,6641332,6641486,6641520,6641652,6641944,6642022,6642080,6642290,6643373,6643478,6643608,6643683,6643716,6643902,6644079,6644456,6644652,6645162,6645304,6645766,6647408,6648376,6648805,6649738,6651383,6651686,6654487,6654608,6655045,6655877,6656213,6656668,6659085,6660221,', 'assoc_port': '6600535:6601255,6600537:6601694,6600543:6601216,6600545:6601366,6600547:6601556,6600550:6601795,6600553:6601316,6601140:6602314,6601199:6601849,6602727:6603845,6602729:6603981,6602732:6603610,6604400:6604938,6604702:6606380,6605500:6606272,6605502:6607136,6606682:6608324,6606685:6607885,6606687:6607388,6607836:6608593,6607838:6608675,6608144:6608967,6609197:6610048,6609198:6609910,6609963:6610273,6610497:6611082,6612953:6613721,6613333:6614147,6614966:6616193,6615360:6615898,6616171:6616972,6616960:6618176,6616966:6617468,6618310:6618950,6620036:6620509,6620039:6621391,6620042:6620988,6620404:6621144,6620441:6621449,6620445:6621167,6621642:6622752,6621645:6622519,6621650:6622379,6621652:6622436,6621655:6622163,6621656:6622102,6621661:6622316,6625901:6626364,6626270:6626973,6626272:6627004,6626275:6627197,6627097:6627840,6627099:6628023,6627946:6628564,6627948:6628623,6628988:6629352,6628991:6629394,6630847:6635945,6630849:6636036,6630851:6635972,6630854:6637685,6630934:6637764,6630936:6637716,6630938:6638094,', 'assoc_mat': '6600535:barquette_avec_film:3327:6601255,6600537:barquette_avec_film:3327:6601694,6600543:barquette_avec_film:3327:6601216,6600545:barquette_avec_film:3327:6601366,6600547:barquette_avec_film:3327:6601556,6600550:barquette_avec_film:3327:6601795,6600553:barquette_avec_film:3327:6601316,6601140:barquette_avec_film:3327:6602314,6601199:barquette_avec_film:3327:6601849,6602727:barquette_avec_film:3327:6603845,6602729:barquette_avec_film:3327:6603981,6602732:barquette_avec_film:3327:6603610,6604400:barquette_avec_film:3327:6604938,6604702:barquette_avec_film:3327:6606380,6605500:barquette_avec_film:3327:6606272,6605502:barquette_avec_film:3327:6607136,6606682:barquette_avec_film:3327:6608324,6606685:barquette_avec_film:3327:6607885,6606687:barquette_avec_film:3327:6607388,6607836:barquette_avec_film:3327:6608593,6607838:barquette_avec_film:3327:6608675,6608144:barquette_avec_film:3327:6608967,6609197:barquette_avec_film:3327:6610048,6609198:barquette_avec_film:3327:6609910,6609963:barquette_avec_film:3327:6610273'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0006065490165070008, 'nb_photo': 9, 'list_port_cont': '6603426,6627334,6634749,6723417,6780640,6834099,6852168', 'assoc_port': '6602731:6603426,6626721:6627334,6630937:6634749,6671808:6834099,6722813:6723417,6780026:6780640,6851650:6852168', 'assoc_mat': '6602731:barquette_opaque:4203:6603426,6626721:barquette_opaque:4203:6627334,6630937:barquette_opaque:4203:6634749,6671808:barquette_opaque:4203:6834099,6722813:barquette_opaque:4203:6723417,6780026:barquette_opaque:4203:6780640,6851650:barquette_opaque:4203:6852168'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005293780694215035, 'nb_photo': 1, 'list_port_cont': '6692906', 'assoc_port': '6691778:6692906', 'assoc_mat': '6691778:barquette_opaque:4209:6692906'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.008662761320534096, 'nb_photo': 659, 'list_port_cont': '6600860,6600903,6601023,6601433,6602273,6602593,6603403,6606082,6607689,6608069,6608289,6609462,6610653,6614532,6615427,6615792,6616525,6618779,6618922,6620328,6621053,6621664,6621960,6622002,6622135,6622199,6624057,6626607,6627268,6628481,6629183,6629252,6634382,6635139,6638289,6638441,6640989,6642058,6642706,6650155,6650276,6650959,6658495,6664041,6668175,6669610,6672035,6674014,6674549,6674630,6674772,6675081,6675105,6675139,6675482,6676524,6677132,6677217,6678042,6678216,6678577,6678660,6678688,6678769,6678960,6678988,6681252,6687138,6692292,6693194,6693681,6693891,6694045,6694217,6694420,6698421,6698805,6699377,6699427,6700669,6707231,6711232,6711409,6711495,6712142,6713437,6713607,6713753,6714397,6716562,6717498,6717555,6718025,6719023,6719736,6720660,6720723,6721143,6721925,6722677,6723045,6723102,6724740,6724912,6724973,6725830,6729866,6730263,6730718,6731855,6732324,6732440,6735375,6738136,6740197,6740602,6741090,6741939,6743256,6743597,6743876,6745278,6747827,6751581,6751678,6751683,6752336,6754140,', 'assoc_port': '10844008:10846065,10844009:10845784,10844011:10845552,10844012:10845981,10844014:10845176,10844016:10845161,10844017:10845129,10844018:10844946,10844019:10845048,10844020:10844679,12107427:12108055,12107429:12107821,6600536:6601433,6600544:6600860,6600546:6601023,6600551:6600903,6601138:6602593,6601649:6602273,6602733:6603403,6604399:6608069,6605499:6610653,6605688:6606082,6606683:6607689,6607839:6608289,6609199:6609462,6614199:6614532,6614969:6615427,6615362:6615792,6616173:6616525,6618307:6618779,6618311:6618922,6620040:6620328,6620422:6621664,6620444:6621053,6621638:6624057,6621647:6622199,6621651:6622135,6621654:6621960,6621659:6622002,6626268:6626607,6627098:6627268,6627945:6628481,6628987:6629183,6628989:6629252,6630852:6674014,6630932:6674630,6630935:6674772,6630939:6675105,6631065:6675081,6631069:6675482,6631193:6635139,6631477:6676524,6631489:6677132,6631492:6677217,6631967:6634382,6632585:6678216,6632660:6678577,6632663:6678660,6632714:6678769,6632787:6678688,6632877:6678960,6632881:6678988,6635669:', 'assoc_mat': '10844008:barquette_opaque:4211:10846065,10844009:barquette_opaque:4211:10845784,10844011:barquette_opaque:4211:10845552,10844012:barquette_opaque:4211:10845981,10844014:barquette_opaque:4211:10845176,10844016:barquette_opaque:4211:10845161,10844017:barquette_opaque:4211:10845129,10844018:barquette_opaque:4211:10844946,10844019:barquette_opaque:4211:10845048,10844020:barquette_opaque:4211:10844679,12107427:barquette_opaque:4211:12108055,12107429:barquette_opaque:4211:12107821,6600536:barquette_opaque:4211:6601433,6600544:barquette_opaque:4211:6600860,6600546:barquette_opaque:4211:6601023,6600551:barquette_opaque:4211:6600903,6601138:barquette_opaque:4211:6602593,6601649:barquette_opaque:4211:6602273,6602733:barquette_opaque:4211:6603403,6604399:barquette_opaque:4211:6608069,6605499:barquette_opaque:4211:6610653,6605688:barquette_opaque:4211:6606082,6606683:barquette_opaque:4211:6607689,6607839:barquette_opaque:4211:6608289,6609199:barquette_opaque:4211:6609462,6614199:barquette_opaque:4211:6614532,6614969:barq'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0009915902324084817, 'nb_photo': 5, 'list_port_cont': '6649286,6687459,6784020,6813915,6920756', 'assoc_port': '6631070:6649286,6686295:6687459,6782249:6784020,6813389:6813915,6920100:6920756', 'assoc_mat': '6631070:barquette_opaque:4200:6649286,6686295:barquette_opaque:4200:6687459,6782249:barquette_opaque:4200:6784020,6813389:barquette_opaque:4200:6813915,6920100:barquette_opaque:4200:6920756'}, {'unwanted_material': 'bouchon', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.002148587132747826, 'nb_photo': 2481, 'list_port_cont': '6601204,6601258,6601320,6601369,6601559,6601701,6601789,6601838,6602303,6603616,6603840,6603991,6604940,6606271,6606371,6607138,6607392,6607893,6608314,6608584,6608679,6608959,6609909,6610052,6610283,6610913,6611085,6613733,6614158,6615892,6616060,6616205,6616979,6617470,6617845,6618175,6618953,6620508,6620996,6621149,6621177,6621393,6621437,6621531,6622101,6622159,6622323,6622381,6622429,6622524,6622659,6622748,6626363,6626980,6626996,6627191,6627830,6628020,6628559,6628625,6629350,6629387,6635807,6635871,6635902,6635950,6635976,6636031,6636142,6636288,6636337,6636425,6636596,6636683,6636733,6636798,6637042,6637681,6637704,6637763,6637859,6637953,6637977,6638087,6638418,6638605,6638699,6638834,6638943,6638976,6639182,6639296,6639351,6639643,6639763,6639846,6639907,6639971,6640125,6640715,6640780,6640955,6641210,6641300,6641327,6641485,6641509,6641661,6641818,6641952,6642084,6642292,6643375,6643473,6643600,6643630,6643663,6643691,6643711,6643907,6644068,6644455,6644662,6645166,6645298,6645757,6647406,6648003,', 'assoc_port': '6600535:6601258,6600537:6601701,6600543:6601204,6600545:6601369,6600547:6601559,6600550:6601789,6600553:6601320,6601140:6602303,6601199:6601838,6602727:6603840,6602729:6603991,6602732:6603616,6604400:6604940,6604702:6606371,6605500:6606271,6605502:6607138,6606682:6608314,6606685:6607893,6606687:6607392,6607836:6608584,6607838:6608679,6608144:6608959,6609197:6610052,6609198:6609909,6609963:6610283,6610497:6611085,6610499:6610913,6612953:6613733,6613333:6614158,6614966:6616205,6614968:6616060,6615360:6615892,6616171:6616979,6616960:6618175,6616966:6617470,6616967:6617845,6618310:6618953,6620036:6620508,6620039:6621393,6620042:6620996,6620404:6621149,6620441:6621437,6620445:6621177,6620446:6621531,6621639:6622659,6621642:6622748,6621645:6622524,6621650:6622381,6621652:6622429,6621655:6622159,6621656:6622101,6621661:6622323,6625901:6626363,6626270:6626980,6626272:6626996,6626275:6627191,6627097:6627830,6627099:6628020,6627946:6628559,6627948:6628625,6628988:6629350,6628991:6629387,6630847:6635950,6630849:6636031,', 'assoc_mat': '6600535:bouchon:3327:6601258,6600537:bouchon:3327:6601701,6600543:bouchon:3327:6601204,6600545:bouchon:3327:6601369,6600547:bouchon:3327:6601559,6600550:bouchon:3327:6601789,6600553:bouchon:3327:6601320,6601140:bouchon:3327:6602303,6601199:bouchon:3327:6601838,6602727:bouchon:3327:6603840,6602729:bouchon:3327:6603991,6602732:bouchon:3327:6603616,6604400:bouchon:3327:6604940,6604702:bouchon:3327:6606371,6605500:bouchon:3327:6606271,6605502:bouchon:3327:6607138,6606682:bouchon:3327:6608314,6606685:bouchon:3327:6607893,6606687:bouchon:3327:6607392,6607836:bouchon:3327:6608584,6607838:bouchon:3327:6608679,6608144:bouchon:3327:6608959,6609197:bouchon:3327:6610052,6609198:bouchon:3327:6609909,6609963:bouchon:3327:6610283,6610497:bouchon:3327:6611085,6610499:bouchon:3327:6610913,6612953:bouchon:3327:6613733,6613333:bouchon:3327:6614158,6614966:bouchon:3327:6616205,6614968:bouchon:3327:6616060,6615360:bouchon:3327:6615892,6616171:bouchon:3327:6616979,6616960:bouchon:3327:6618175,6616966:bouchon:3327:6617470,6616967:b'}, {'unwanted_material': 'carton', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.015781843756573148, 'nb_photo': 1998, 'list_port_cont': '6603428,6608804,6618325,6624159,6627335,6634751,6634798,6660090,6698369,6704158,6712719,6720528,6723218,6723410,6735159,6735455,6741137,6754060,6761153,6768731,6775020,6780639,6799269,6800310,6801317,6806363,6808106,6808745,6810123,6812813,6822554,6826369,6834087,6838770,6846433,6852159,6863267,6865659,6869925,6876020,6924800,6930493,6940832,10844173', 'assoc_port': '10844025:10844173,6602731:6603428,6608146:6608804,6617603:6618325,6620405:6624159,6626721:6627335,6630937:6634751,6631483:6634798,6632879:6660090,6638160:6704158,6653521:6723218,6664117:6735455,6671808:6834087,6682068:6768731,6685476:6799269,6685991:6800310,6686304:6801317,6690887:6735159,6696473:6698369,6712332:6712719,6718634:6720528,6722813:6723410,6740022:6741137,6745199:6810123,6753416:6754060,6760133:6761153,6765566:6808745,6774410:6775020,6780026:6780639,6786466:6808106,6793236:6806363,6811950:6812813,6820599:6822554,6825858:6826369,6837012:6838770,6846007:6846433,6851650:6852159,6863104:6863267,6865559:6865659,6869544:6869925,6875674:6876020,6894306:6930493,6900378:6940832,6923650:6924800', 'assoc_mat': '10844025:carton:4203:10844173,6602731:carton:4203:6603428,6608146:carton:4203:6608804,6617603:carton:4203:6618325,6620405:carton:4203:6624159,6626721:carton:4203:6627335,6630937:carton:4203:6634751,6631483:carton:4203:6634798,6632879:carton:4203:6660090,6638160:carton:4203:6704158,6653521:carton:4203:6723218,6664117:carton:4203:6735455,6671808:carton:4203:6834087,6682068:carton:4203:6768731,6685476:carton:4203:6799269,6685991:carton:4203:6800310,6686304:carton:4203:6801317,6690887:carton:4203:6735159,6696473:carton:4203:6698369,6712332:carton:4203:6712719,6718634:carton:4203:6720528,6722813:carton:4203:6723410,6740022:carton:4203:6741137,6745199:carton:4203:6810123,6753416:carton:4203:6754060,6760133:carton:4203:6761153,6765566:carton:4203:6808745,6774410:carton:4203:6775020,6780026:carton:4203:6780639,6786466:carton:4203:6808106,6793236:carton:4203:6806363,6811950:carton:4203:6812813,6820599:carton:4203:6822554,6825858:carton:4203:6826369,6837012:carton:4203:6838770,6846007:carton:4203:6846433,6851650:carton'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.9743551532309155, 'nb_photo': 4, 'list_port_cont': '12107738,12108208', 'assoc_port': '12107419:12108208,12107426:12107738', 'assoc_mat': '12107419:carton:4207:12108208,12107426:carton:4207:12107738'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.004418352534261281, 'nb_photo': 161, 'list_port_cont': '6600769,6601467,6602156,6616727,6617535,6617707,6618976,6620415,6621476,6621927,6622071,6625405,6627053,6637137,6638503,6641082,6644340,6647280,6648123,6651932,6655484,6657576,6664017,6666562,6667513,6668138,6668212,6669002,6669287,6669404,6670447,6670556,6670902,6672181,6673400,6674363,6678083,6682353,6690824,6692905,6694179,6695453,6695907,6697455,6699015,6711039,6712083,6712246,6716814,6721878,6723683,6740491,6742328,6751444,6754763,6812438,6824357', 'assoc_port': '6600533:6601467,6600540:6602156,6600552:6600769,6616168:6616727,6616961:6617707,6616963:6617535,6618302:6618976,6620037:6620415,6620443:6621476,6621640:6622071,6621646:6621927,6625237:6625405,6626722:6627053,6631064:6666562,6631190:6668138,6631196:6668212,6631480:6669002,6631482:6669287,6631491:6669404,6632580:6670447,6632661:6670556,6632883:6670902,6633864:6637137,6638162:6638503,6638777:6644340,6640593:6641082,6646444:6647280,6647214:6648123,6650509:6651932,6654838:6655484,6656897:6657576,6663620:6664017,6664426:6667513,6671806:6672181,6672700:6673400,6673893:6674363,6677866:6678083,6681682:6682353,6682898:6690824,6685513:6697455,6688873:6699015,6691778:6692905,6692502:6694179,6694731:6695907,6694740:6695453,6709375:6711039,6710867:6712246,6711682:6712083,6716079:6716814,6721779:6721878,6723504:6723683,6739465:6742328,6740030:6740491,6741911:6754763,6750987:6751444,6811912:6812438,6823971:6824357', 'assoc_mat': '6600533:carton:4209:6601467,6600540:carton:4209:6602156,6600552:carton:4209:6600769,6616168:carton:4209:6616727,6616961:carton:4209:6617707,6616963:carton:4209:6617535,6618302:carton:4209:6618976,6620037:carton:4209:6620415,6620443:carton:4209:6621476,6621640:carton:4209:6622071,6621646:carton:4209:6621927,6625237:carton:4209:6625405,6626722:carton:4209:6627053,6631064:carton:4209:6666562,6631190:carton:4209:6668138,6631196:carton:4209:6668212,6631480:carton:4209:6669002,6631482:carton:4209:6669287,6631491:carton:4209:6669404,6632580:carton:4209:6670447,6632661:carton:4209:6670556,6632883:carton:4209:6670902,6633864:carton:4209:6637137,6638162:carton:4209:6638503,6638777:carton:4209:6644340,6640593:carton:4209:6641082,6646444:carton:4209:6647280,6647214:carton:4209:6648123,6650509:carton:4209:6651932,6654838:carton:4209:6655484,6656897:carton:4209:6657576,6663620:carton:4209:6664017,6664426:carton:4209:6667513,6671806:carton:4209:6672181,6672700:carton:4209:6673400,6673893:carton:4209:6674363,6677866:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0034360485265016666, 'nb_photo': 74, 'list_port_cont': '6846228,6863059,6869289,6886849,6890963,6894674,6908912,6914945,6920514,6922344,6960443,12107789,12108019,12108273,12108337,12108377,12108542,12108682,12151219', 'assoc_port': '12107418:12151219,12107420:12108682,12107421:12108542,12107422:12108377,12107424:12108273,12107425:12108337,12107428:12108019,12107430:12107789,6845636:6846228,6862271:6863059,6868823:6869289,6886556:6886849,6890813:6890963,6894304:6894674,6902262:6908912,6914405:6914945,6919130:6920514,6919131:6960443,6920918:6922344', 'assoc_mat': '12107418:carton:4209:12151219,12107420:carton:4209:12108682,12107421:carton:4209:12108542,12107422:carton:4209:12108377,12107424:carton:4209:12108273,12107425:carton:4209:12108337,12107428:carton:4209:12108019,12107430:carton:4209:12107789,6845636:carton:4209:6846228,6862271:carton:4209:6863059,6868823:carton:4209:6869289,6886556:carton:4209:6886849,6890813:carton:4209:6890963,6894304:carton:4209:6894674,6902262:carton:4209:6908912,6914405:carton:4209:6914945,6919130:carton:4209:6920514,6919131:carton:4209:6960443,6920918:carton:4209:6922344'}, {'unwanted_material': 'carton', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.7882882989748035, 'nb_photo': 99, 'list_port_cont': '6617257,6617678,6633558,6659532', 'assoc_port': '6616962:6617257,6616964:6617678,6631478:6633558,6652939:6659532', 'assoc_mat': '6616962:carton:4207:6617257,6616964:carton:4207:6617678,6631478:carton:4207:6633558,6652939:carton:4207:6659532'}, {'unwanted_material': 'carton', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.005541745404523602, 'nb_photo': 10072, 'list_port_cont': '6600862,6600896,6601025,6601432,6601509,6602274,6602602,6603017,6603405,6605885,6606079,6607679,6608062,6608285,6609455,6610403,6610610,6610646,6611147,6613688,6614029,6614524,6615392,6615433,6615557,6615807,6616523,6617433,6618778,6618919,6620209,6620333,6620915,6621055,6621679,6621959,6621994,6622138,6622194,6622460,6624060,6625559,6626610,6626645,6627278,6628471,6629181,6629246,6634380,6634648,6634846,6635132,6635839,6638277,6638440,6639151,6640998,6642060,6642703,6648971,6650047,6650147,6650271,6650967,6658510,6664044,6666448,6668089,6668177,6669622,6672030,6674022,6674547,6674632,6674763,6675077,6675104,6675135,6675473,6676026,6676537,6676625,6677127,6677221,6677812,6678043,6678220,6678576,6678652,6678765,6678931,6678963,6678994,6679223,6681249,6687137,6691499,6691652,6692287,6693204,6693679,6693897,6694010,6694038,6694216,6694416,6695511,6697512,6698426,6698766,6698791,6699371,6699423,6700624,6700657,6705442,6706626,6706767,6707236,6707810,6709732,6711227,6711402,6711481,6712143,6712484,6712643,6712742,', 'assoc_port': '10844008:10846058,10844009:10845786,10844010:10846035,10844011:10845555,10844012:10845974,10844013:10845417,10844014:10845188,10844015:10845076,10844016:10845159,10844017:10845134,10844018:10844944,10844019:10845036,10844020:10844680,10844021:10844446,12107423:12108311,12107427:12108078,12107429:12107832,6600536:6601432,6600541:6601509,6600544:6600862,6600546:6601025,6600551:6600896,6601138:6602602,6601649:6602274,6602728:6603017,6602733:6603405,6604399:6608062,6605499:6610646,6605503:6605885,6605688:6606079,6606683:6607679,6607835:6610403,6607839:6608285,6609199:6609455,6610498:6610610,6610992:6611147,6613334:6613688,6613876:6614029,6614199:6614524,6614967:6615392,6614969:6615433,6615340:6615557,6615362:6615807,6616173:6616523,6616982:6617433,6618307:6618778,6618311:6618919,6620038:6620209,6620040:6620333,6620422:6621679,6620444:6621055,6620447:6620915,6621638:6624060,6621643:6622460,6621647:6622194,6621651:6622138,6621654:6621959,6621659:6621994,6625236:6625559,6626268:6626610,6626274:6626645,6627098:662727', 'assoc_mat': '10844008:carton:4211:10846058,10844009:carton:4211:10845786,10844010:carton:4211:10846035,10844011:carton:4211:10845555,10844012:carton:4211:10845974,10844013:carton:4211:10845417,10844014:carton:4211:10845188,10844015:carton:4211:10845076,10844016:carton:4211:10845159,10844017:carton:4211:10845134,10844018:carton:4211:10844944,10844019:carton:4211:10845036,10844020:carton:4211:10844680,10844021:carton:4211:10844446,12107423:carton:4211:12108311,12107427:carton:4211:12108078,12107429:carton:4211:12107832,6600536:carton:4211:6601432,6600541:carton:4211:6601509,6600544:carton:4211:6600862,6600546:carton:4211:6601025,6600551:carton:4211:6600896,6601138:carton:4211:6602602,6601649:carton:4211:6602274,6602728:carton:4211:6603017,6602733:carton:4211:6603405,6604399:carton:4211:6608062,6605499:carton:4211:6610646,6605503:carton:4211:6605885,6605688:carton:4211:6606079,6606683:carton:4211:6607679,6607835:carton:4211:6610403,6607839:carton:4211:6608285,6609199:carton:4211:6609455,6610498:carton:4211:6610610,6610992:ca'}, {'unwanted_material': 'carton', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.021265796174868765, 'nb_photo': 11055, 'list_port_cont': '6601215,6601254,6601311,6601365,6601560,6601690,6601782,6601848,6602311,6603606,6603844,6603989,6604932,6606278,6606384,6607129,6607398,6607888,6608321,6608587,6608682,6608971,6609916,6610055,6610284,6610912,6611077,6613728,6614151,6615888,6616062,6616202,6616976,6617459,6617851,6618180,6618944,6620516,6620989,6621115,6621137,6621173,6621387,6621436,6621535,6622109,6622160,6622315,6622373,6622427,6622513,6622655,6622753,6626373,6626971,6627002,6627199,6627839,6628013,6628560,6628619,6629361,6629384,6635813,6635874,6635895,6635941,6635971,6636033,6636118,6636148,6636296,6636333,6636418,6636592,6636681,6636726,6636802,6637043,6637688,6637712,6637762,6637860,6637949,6637973,6638091,6638425,6638595,6638701,6638837,6638945,6638981,6639192,6639297,6639349,6639651,6639755,6639845,6639906,6639972,6640117,6640719,6640754,6640781,6640958,6641217,6641305,6641322,6641489,6641514,6641657,6641813,6641946,6642029,6642085,6642288,6643238,6643376,6643471,6643599,6643635,6643658,6643688,6643713,6643897,6644067,6644460,6644654,', 'assoc_port': '6600535:6601254,6600537:6601690,6600543:6601215,6600545:6601365,6600547:6601560,6600550:6601782,6600553:6601311,6601140:6602311,6601199:6601848,6602727:6603844,6602729:6603989,6602732:6603606,6604400:6604932,6604702:6606384,6605500:6606278,6605502:6607129,6606682:6608321,6606685:6607888,6606687:6607398,6607836:6608587,6607838:6608682,6608144:6608971,6609197:6610055,6609198:6609916,6609963:6610284,6610497:6611077,6610499:6610912,6612953:6613728,6613333:6614151,6614966:6616202,6614968:6616062,6615360:6615888,6616171:6616976,6616960:6618180,6616966:6617459,6616967:6617851,6618310:6618944,6620036:6620516,6620039:6621387,6620042:6620989,6620404:6621137,6620441:6621436,6620445:6621173,6620446:6621535,6620449:6621115,6621639:6622655,6621642:6622753,6621645:6622513,6621650:6622373,6621652:6622427,6621655:6622160,6621656:6622109,6621661:6622315,6625901:6626373,6626270:6626971,6626272:6627002,6626275:6627199,6627097:6627839,6627099:6628013,6627946:6628560,6627948:6628619,6628988:6629361,6628991:6629384,6630847:6635941,', 'assoc_mat': '6600535:carton:3327:6601254,6600537:carton:3327:6601690,6600543:carton:3327:6601215,6600545:carton:3327:6601365,6600547:carton:3327:6601560,6600550:carton:3327:6601782,6600553:carton:3327:6601311,6601140:carton:3327:6602311,6601199:carton:3327:6601848,6602727:carton:3327:6603844,6602729:carton:3327:6603989,6602732:carton:3327:6603606,6604400:carton:3327:6604932,6604702:carton:3327:6606384,6605500:carton:3327:6606278,6605502:carton:3327:6607129,6606682:carton:3327:6608321,6606685:carton:3327:6607888,6606687:carton:3327:6607398,6607836:carton:3327:6608587,6607838:carton:3327:6608682,6608144:carton:3327:6608971,6609197:carton:3327:6610055,6609198:carton:3327:6609916,6609963:carton:3327:6610284,6610497:carton:3327:6611077,6610499:carton:3327:6610912,6612953:carton:3327:6613728,6613333:carton:3327:6614151,6614966:carton:3327:6616202,6614968:carton:3327:6616062,6615360:carton:3327:6615888,6616171:carton:3327:6616976,6616960:carton:3327:6618180,6616966:carton:3327:6617459,6616967:carton:3327:6617851,6618310:carton:3'}, {'unwanted_material': 'carton', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0030077102589759186, 'nb_photo': 188, 'list_port_cont': '6600928,6602053,6613067,6615617,6620856,6626789,6634257,6637078,6637444,6638372,6639234,6641575,6646017,6647334,6649471,6649914,6653437,6654689,6655701,6658478,6662382,6670056,6672616,6674513,6683667,6684475,6687238,6687457,6696453,6696810,6698452,6711567,6712284,6712773,6714498,6717605,6719822,6720209,6720249,6720369,6721251,6722524,6740808,6745523,6745785,6750251,6754193,6754563,6765279,6766693,6780395,6780519,6784030,6786852,6788641,6791341,6793689,6795536,6817651,6821378,6824090,6835185,6836549,6840202,6849237,6852379,6854531,6859034,6862722,6865777,6866323,6867980,6869264,6874412,6875751,6875979,6882733,6886815,6888107,6889496,6902501,6904840,6914439,6920752,6921621,6924262', 'assoc_port': '6600538:6600928,6601136:6602053,6612632:6613067,6615365:6615617,6620439:6620856,6626271:6626789,6630848:6646017,6631186:6634257,6631194:6649914,6631961:6655701,6632583:6662382,6632966:6670056,6635673:6637444,6635681:6637078,6637843:6638372,6638774:6639234,6641286:6641575,6646447:6647334,6648940:6649471,6650951:6653437,6654041:6654689,6657889:6658478,6671809:6672616,6673895:6674513,6681680:6683667,6683618:6684475,6685440:6720369,6685511:6720209,6686027:6719822,6686295:6687457,6686312:6687238,6688871:6714498,6690894:6698452,6693641:6696453,6696476:6696810,6710860:6711567,6711680:6712284,6712324:6712773,6716688:6717605,6718843:6720249,6720803:6721251,6722354:6722524,6740018:6740808,6740709:6745523,6744268:6745785,6748062:6750251,6753406:6754563,6753419:6754193,6764848:6765279,6765563:6766693,6779977:6780519,6780017:6780395,6782249:6784030,6786463:6786852,6787690:6788641,6790918:6791341,6793238:6793689,6795258:6795536,6817300:6817651,6820776:6821378,6823753:6824090,6833510:6835185,6835942:6836549,6839793:6840202,', 'assoc_mat': '6600538:carton:4200:6600928,6601136:carton:4200:6602053,6612632:carton:4200:6613067,6615365:carton:4200:6615617,6620439:carton:4200:6620856,6626271:carton:4200:6626789,6630848:carton:4200:6646017,6631186:carton:4200:6634257,6631194:carton:4200:6649914,6631961:carton:4200:6655701,6632583:carton:4200:6662382,6632966:carton:4200:6670056,6635673:carton:4200:6637444,6635681:carton:4200:6637078,6637843:carton:4200:6638372,6638774:carton:4200:6639234,6641286:carton:4200:6641575,6646447:carton:4200:6647334,6648940:carton:4200:6649471,6650951:carton:4200:6653437,6654041:carton:4200:6654689,6657889:carton:4200:6658478,6671809:carton:4200:6672616,6673895:carton:4200:6674513,6681680:carton:4200:6683667,6683618:carton:4200:6684475,6685440:carton:4200:6720369,6685511:carton:4200:6720209,6686027:carton:4200:6719822,6686295:carton:4200:6687457,6686312:carton:4200:6687238,6688871:carton:4200:6714498,6690894:carton:4200:6698452,6693641:carton:4200:6696453,6696476:carton:4200:6696810,6710860:carton:4200:6711567,6711680:carton:4'}, {'unwanted_material': 'ela', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.9213990406858268, 'nb_photo': 851, 'list_port_cont': '6603436,6608816,6618318,6624164,6627339,6634755,6634797,6660094,6660517,6698372,6704166,6712720,6720539,6723233,6723408,6735149,6735451,6741141,6754061,6761154,6768736,6775025,6780642,6799277,6800318,6801314,6806353,6808104,6808746,6810130,6812814,6822548,6826377,6834092,6838771,6846432,6852158,6863258,6865673,6869916,6876021,6930479,6940847,10844172', 'assoc_port': '10844025:10844172,6602731:6603436,6608146:6608816,6617603:6618318,6620405:6624164,6626721:6627339,6630937:6634755,6631483:6634797,6631962:6660517,6632879:6660094,6638160:6704166,6653521:6723233,6664117:6735451,6671808:6834092,6682068:6768736,6685476:6799277,6685991:6800318,6686304:6801314,6690887:6735149,6696473:6698372,6712332:6712720,6718634:6720539,6722813:6723408,6740022:6741141,6745199:6810130,6753416:6754061,6760133:6761154,6765566:6808746,6774410:6775025,6780026:6780642,6786466:6808104,6793236:6806353,6811950:6812814,6820599:6822548,6825858:6826377,6837012:6838771,6846007:6846432,6851650:6852158,6863104:6863258,6865559:6865673,6869544:6869916,6875674:6876021,6894306:6930479,6900378:6940847', 'assoc_mat': '10844025:ela:4203:10844172,6602731:ela:4203:6603436,6608146:ela:4203:6608816,6617603:ela:4203:6618318,6620405:ela:4203:6624164,6626721:ela:4203:6627339,6630937:ela:4203:6634755,6631483:ela:4203:6634797,6631962:ela:4203:6660517,6632879:ela:4203:6660094,6638160:ela:4203:6704166,6653521:ela:4203:6723233,6664117:ela:4203:6735451,6671808:ela:4203:6834092,6682068:ela:4203:6768736,6685476:ela:4203:6799277,6685991:ela:4203:6800318,6686304:ela:4203:6801314,6690887:ela:4203:6735149,6696473:ela:4203:6698372,6712332:ela:4203:6712720,6718634:ela:4203:6720539,6722813:ela:4203:6723408,6740022:ela:4203:6741141,6745199:ela:4203:6810130,6753416:ela:4203:6754061,6760133:ela:4203:6761154,6765566:ela:4203:6808746,6774410:ela:4203:6775025,6780026:ela:4203:6780642,6786466:ela:4203:6808104,6793236:ela:4203:6806353,6811950:ela:4203:6812814,6820599:ela:4203:6822548,6825858:ela:4203:6826377,6837012:ela:4203:6838771,6846007:ela:4203:6846432,6851650:ela:4203:6852158,6863104:ela:4203:6863258,6865559:ela:4203:6865673,6869544:ela:4203:68699'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0007116836898320703, 'nb_photo': 13, 'list_port_cont': '6622066,6638510,6668140,6674367,6682359,6692900,6699027,6751454,6812448', 'assoc_port': '6621640:6622066,6631190:6668140,6638162:6638510,6673893:6674367,6681682:6682359,6688873:6699027,6691778:6692900,6750987:6751454,6811912:6812448', 'assoc_mat': '6621640:ela:4209:6622066,6631190:ela:4209:6668140,6638162:ela:4209:6638510,6673893:ela:4209:6674367,6681682:ela:4209:6682359,6688873:ela:4209:6699027,6691778:ela:4209:6692900,6750987:ela:4209:6751454,6811912:ela:4209:6812448'}, {'unwanted_material': 'ela', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.00032398461757896294, 'nb_photo': 4, 'list_port_cont': '6846232,6863050,6869299,6922346', 'assoc_port': '6845636:6846232,6862271:6863050,6868823:6869299,6920918:6922346', 'assoc_mat': '6845636:ela:4209:6846232,6862271:ela:4209:6863050,6868823:ela:4209:6869299,6920918:ela:4209:6922346'}, {'unwanted_material': 'ela', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.00015698953627416628, 'nb_photo': 147, 'list_port_cont': '6606078,6610614,6610650,6611153,6618777,6621995,6624051,6626615,6629238,6634390,6638443,6650283,6668181,6674761,6676619,6687148,6691488,6692283,6693901,6697509,6698420,6712139,6712495,6712638,6713763,6714406,6719444,6721923,6723047,6725696,6725822,6730328,6732327,6732432,6735373,6735646,6743245,6748843,6752335,6753734,6754131,6754280,6755113,6756969,6757867,6757971,6759593,6762164,6768398,6778929,6780252,6780740,6780892,6784776,6785335,6790082,6794260,6795576,6797595,6799113,6799411,6799545,6799693,6800458,6800536,6800674,6800830,6808649,6808671,6808798,6809166,6810011,6810258,6812213,6835747,6840031,6842616,6854223,6855219,6855451,6869220,6889386,6889562,6917712,6920224,6922983,6961422,10844945,10845415,10846062,12107826', 'assoc_port': '10844008:10846062,10844013:10845415,10844018:10844945,12107429:12107826,6605499:6610650,6605688:6606078,6610498:6610614,6610992:6611153,6618307:6618777,6621638:6624051,6621659:6621995,6626268:6626615,6628989:6629238,6630935:6674761,6631484:6676619,6631967:6634390,6635671:6693901,6638161:6638443,6649833:6650283,6653520:6723047,6653523:6725696,6654837:6725822,6663625:6735646,6666361:6668181,6671801:6755113,6683616:6790082,6683620:6691488,6685431:6799113,6685484:6854223,6685489:6799411,6685506:6799545,6685519:6799693,6685533:6697509,6686006:6855219,6686021:6855451,6686031:6800458,6686094:6800536,6686289:6800674,6686298:6800830,6686321:6687148,6688870:6732432,6688875:6732327,6690891:6735373,6691780:6730328,6691869:6692283,6696477:6698420,6710862:6713763,6711681:6712139,6711684:6714406,6712328:6712638,6712336:6712495,6718636:6719444,6721635:6721923,6738742:6810258,6740001:6752335,6740031:6743245,6743340:6757867,6748058:6810011,6748061:6748843,6748064:6756969,6753412:6754131,6753415:6754280,6753418:6753734,6757493:', 'assoc_mat': '10844008:ela:4211:10846062,10844013:ela:4211:10845415,10844018:ela:4211:10844945,12107429:ela:4211:12107826,6605499:ela:4211:6610650,6605688:ela:4211:6606078,6610498:ela:4211:6610614,6610992:ela:4211:6611153,6618307:ela:4211:6618777,6621638:ela:4211:6624051,6621659:ela:4211:6621995,6626268:ela:4211:6626615,6628989:ela:4211:6629238,6630935:ela:4211:6674761,6631484:ela:4211:6676619,6631967:ela:4211:6634390,6635671:ela:4211:6693901,6638161:ela:4211:6638443,6649833:ela:4211:6650283,6653520:ela:4211:6723047,6653523:ela:4211:6725696,6654837:ela:4211:6725822,6663625:ela:4211:6735646,6666361:ela:4211:6668181,6671801:ela:4211:6755113,6683616:ela:4211:6790082,6683620:ela:4211:6691488,6685431:ela:4211:6799113,6685484:ela:4211:6854223,6685489:ela:4211:6799411,6685506:ela:4211:6799545,6685519:ela:4211:6799693,6685533:ela:4211:6697509,6686006:ela:4211:6855219,6686021:ela:4211:6855451,6686031:ela:4211:6800458,6686094:ela:4211:6800536,6686289:ela:4211:6800674,6686298:ela:4211:6800830,6686321:ela:4211:6687148,6688870:ela:4211'}, {'unwanted_material': 'ela', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0010348878985054983, 'nb_photo': 35, 'list_port_cont': '6604882,6609168,6620173,6628355,6637450,6641567,6654693,6665190,6684476,6719824,6754201,6754550,6780397,6797660,6813919,6835187,6842436,6852373,6859023,6862721,6866325,6867974,6875989,6888099,6895293,6920760', 'assoc_port': '6604397:6604882,6608145:6609168,6620043:6620173,6627944:6628355,6635673:6637450,6641286:6641567,6654041:6654693,6664429:6665190,6683618:6684476,6686027:6719824,6753406:6754550,6753419:6754201,6780017:6780397,6797266:6797660,6813389:6813919,6833510:6835187,6842061:6842436,6852123:6852373,6858797:6859023,6862270:6862721,6865552:6866325,6867749:6867974,6875675:6875989,6887861:6888099,6894305:6895293,6920100:6920760', 'assoc_mat': '6604397:ela:4200:6604882,6608145:ela:4200:6609168,6620043:ela:4200:6620173,6627944:ela:4200:6628355,6635673:ela:4200:6637450,6641286:ela:4200:6641567,6654041:ela:4200:6654693,6664429:ela:4200:6665190,6683618:ela:4200:6684476,6686027:ela:4200:6719824,6753406:ela:4200:6754550,6753419:ela:4200:6754201,6780017:ela:4200:6780397,6797266:ela:4200:6797660,6813389:ela:4200:6813919,6833510:ela:4200:6835187,6842061:ela:4200:6842436,6852123:ela:4200:6852373,6858797:ela:4200:6859023,6862270:ela:4200:6862721,6865552:ela:4200:6866325,6867749:ela:4200:6867974,6875675:ela:4200:6875989,6887861:ela:4200:6888099,6894305:ela:4200:6895293,6920100:ela:4200:6920760'}, {'unwanted_material': 'etiquette', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.00021900090159665767, 'nb_photo': 78, 'list_port_cont': '6603427,6608805,6624167,6634748,6634790,6660096,6698374,6704172,6712723,6720540,6723232,6723415,6735146,6741134,6754075,6761156,6775024,6780647,6799267,6800315,6801318,6806348,6808094,6808744,6810125,6822562,6826365,6834101,6838767,6852166,6863265,6865664,6869922,6876013,6930484,10844168', 'assoc_port': '10844025:10844168,6602731:6603427,6608146:6608805,6620405:6624167,6630937:6634748,6631483:6634790,6632879:6660096,6638160:6704172,6653521:6723232,6671808:6834101,6685476:6799267,6685991:6800315,6686304:6801318,6690887:6735146,6696473:6698374,6712332:6712723,6718634:6720540,6722813:6723415,6740022:6741134,6745199:6810125,6753416:6754075,6760133:6761156,6765566:6808744,6774410:6775024,6780026:6780647,6786466:6808094,6793236:6806348,6820599:6822562,6825858:6826365,6837012:6838767,6851650:6852166,6863104:6863265,6865559:6865664,6869544:6869922,6875674:6876013,6894306:6930484', 'assoc_mat': '10844025:etiquette:4203:10844168,6602731:etiquette:4203:6603427,6608146:etiquette:4203:6608805,6620405:etiquette:4203:6624167,6630937:etiquette:4203:6634748,6631483:etiquette:4203:6634790,6632879:etiquette:4203:6660096,6638160:etiquette:4203:6704172,6653521:etiquette:4203:6723232,6671808:etiquette:4203:6834101,6685476:etiquette:4203:6799267,6685991:etiquette:4203:6800315,6686304:etiquette:4203:6801318,6690887:etiquette:4203:6735146,6696473:etiquette:4203:6698374,6712332:etiquette:4203:6712723,6718634:etiquette:4203:6720540,6722813:etiquette:4203:6723415,6740022:etiquette:4203:6741134,6745199:etiquette:4203:6810125,6753416:etiquette:4203:6754075,6760133:etiquette:4203:6761156,6765566:etiquette:4203:6808744,6774410:etiquette:4203:6775024,6780026:etiquette:4203:6780647,6786466:etiquette:4203:6808094,6793236:etiquette:4203:6806348,6820599:etiquette:4203:6822562,6825858:etiquette:4203:6826365,6837012:etiquette:4203:6838767,6851650:etiquette:4203:6852166,6863104:etiquette:4203:6863265,6865559:etiquette:4203:6865664'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.00030922441233135133, 'nb_photo': 45, 'list_port_cont': '6600778,6617522,6618983,6620411,6621477,6621941,6625401,6641076,6647266,6648129,6651936,6667511,6669411,6670890,6672171,6673397,6674364,6678090,6682348,6690825,6695447,6695912,6697467,6699022,6711044,6712233,6723686,6740487,6742318,6751446,6754766', 'assoc_port': '6600552:6600778,6616963:6617522,6618302:6618983,6620037:6620411,6620443:6621477,6621646:6621941,6625237:6625401,6631491:6669411,6632883:6670890,6640593:6641076,6646444:6647266,6647214:6648129,6650509:6651936,6664426:6667511,6671806:6672171,6672700:6673397,6673893:6674364,6677866:6678090,6681682:6682348,6682898:6690825,6685513:6697467,6688873:6699022,6694731:6695912,6694740:6695447,6709375:6711044,6710867:6712233,6723504:6723686,6739465:6742318,6740030:6740487,6741911:6754766,6750987:6751446', 'assoc_mat': '6600552:etiquette:4209:6600778,6616963:etiquette:4209:6617522,6618302:etiquette:4209:6618983,6620037:etiquette:4209:6620411,6620443:etiquette:4209:6621477,6621646:etiquette:4209:6621941,6625237:etiquette:4209:6625401,6631491:etiquette:4209:6669411,6632883:etiquette:4209:6670890,6640593:etiquette:4209:6641076,6646444:etiquette:4209:6647266,6647214:etiquette:4209:6648129,6650509:etiquette:4209:6651936,6664426:etiquette:4209:6667511,6671806:etiquette:4209:6672171,6672700:etiquette:4209:6673397,6673893:etiquette:4209:6674364,6677866:etiquette:4209:6678090,6681682:etiquette:4209:6682348,6682898:etiquette:4209:6690825,6685513:etiquette:4209:6697467,6688873:etiquette:4209:6699022,6694731:etiquette:4209:6695912,6694740:etiquette:4209:6695447,6709375:etiquette:4209:6711044,6710867:etiquette:4209:6712233,6723504:etiquette:4209:6723686,6739465:etiquette:4209:6742318,6740030:etiquette:4209:6740487,6741911:etiquette:4209:6754766,6750987:etiquette:4209:6751446'}, {'unwanted_material': 'etiquette', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.00022776236187163268, 'nb_photo': 13, 'list_port_cont': '6869297,6890964,6908904,6960438,12108034,12108669', 'assoc_port': '12107420:12108669,12107428:12108034,6868823:6869297,6890813:6890964,6902262:6908904,6919131:6960438', 'assoc_mat': '12107420:etiquette:4209:12108669,12107428:etiquette:4209:12108034,6868823:etiquette:4209:6869297,6890813:etiquette:4209:6890964,6902262:etiquette:4209:6908904,6919131:etiquette:4209:6960438'}, {'unwanted_material': 'etiquette', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 9.761859113588492e-05, 'nb_photo': 731, 'list_port_cont': '6600902,6602270,6608065,6608287,6609459,6610411,6610617,6611154,6614525,6615396,6615423,6615803,6617425,6620339,6620925,6621056,6621665,6621973,6621996,6622127,6622201,6622459,6624053,6625563,6628477,6634393,6634662,6634854,6635143,6635844,6639158,6640993,6650044,6650156,6650281,6658498,6664049,6666450,6669614,6672026,6674393,6674548,6674635,6674760,6675108,6675142,6675485,6676526,6676614,6677128,6677225,6677804,6678044,6678223,6678571,6678768,6678969,6679218,6681248,6687147,6691498,6691665,6692288,6694047,6694207,6694414,6695513,6697508,6698432,6698802,6699435,6700656,6705444,6706636,6706768,6707239,6707826,6709730,6711224,6711404,6711483,6712141,6712483,6712632,6712743,6713443,6713604,6713764,6714402,6716469,6716553,6717496,6717550,6718035,6718534,6719031,6719449,6719733,6720659,6721132,6721831,6722611,6722685,6723046,6723113,6723251,6723786,6724921,6724969,6725105,6725687,6729864,6730275,6730327,6730721,6731860,6732320,6732438,6735374,6735654,6738119,6740200,6740600,6741082,6741932,6743253,6743387,6743591,', 'assoc_port': '10844009:10845795,10844011:10845547,10844012:10845968,10844014:10845181,10844016:10845171,10844017:10845140,10844018:10844947,10844019:10845034,10844020:10844676,10844021:10844452,12107427:12108051,12107429:12107825,6600551:6600902,6601649:6602270,6604399:6608065,6607835:6610411,6607839:6608287,6609199:6609459,6610498:6610617,6610992:6611154,6614199:6614525,6614967:6615396,6614969:6615423,6615362:6615803,6616982:6617425,6620040:6620339,6620422:6621665,6620444:6621056,6620447:6620925,6621638:6624053,6621643:6622459,6621647:6622201,6621651:6622127,6621654:6621973,6621659:6621996,6625236:6625563,6627945:6628477,6630850:6634854,6630856:6634662,6630932:6674635,6630935:6674760,6630939:6675108,6631069:6675485,6631193:6635143,6631477:6676526,6631484:6676614,6631489:6677128,6631492:6677225,6631960:6677804,6631967:6634393,6632585:6678223,6632660:6678571,6632714:6678768,6632877:6678969,6632963:6679218,6633862:6635844,6635676:6694047,6635682:6694207,6637840:6700656,6638773:6705444,6638776:6639158,6640587:6706636,6640590:', 'assoc_mat': '10844009:etiquette:4211:10845795,10844011:etiquette:4211:10845547,10844012:etiquette:4211:10845968,10844014:etiquette:4211:10845181,10844016:etiquette:4211:10845171,10844017:etiquette:4211:10845140,10844018:etiquette:4211:10844947,10844019:etiquette:4211:10845034,10844020:etiquette:4211:10844676,10844021:etiquette:4211:10844452,12107427:etiquette:4211:12108051,12107429:etiquette:4211:12107825,6600551:etiquette:4211:6600902,6601649:etiquette:4211:6602270,6604399:etiquette:4211:6608065,6607835:etiquette:4211:6610411,6607839:etiquette:4211:6608287,6609199:etiquette:4211:6609459,6610498:etiquette:4211:6610617,6610992:etiquette:4211:6611154,6614199:etiquette:4211:6614525,6614967:etiquette:4211:6615396,6614969:etiquette:4211:6615423,6615362:etiquette:4211:6615803,6616982:etiquette:4211:6617425,6620040:etiquette:4211:6620339,6620422:etiquette:4211:6621665,6620444:etiquette:4211:6621056,6620447:etiquette:4211:6620925,6621638:etiquette:4211:6624053,6621643:etiquette:4211:6622459,6621647:etiquette:4211:6622201,6621651:'}, {'unwanted_material': 'etiquette', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.004348080716206635, 'nb_photo': 2177, 'list_port_cont': '6601212,6601260,6601313,6601368,6601566,6601697,6601794,6601839,6602310,6603617,6603847,6603990,6604929,6606281,6606358,6607128,6607393,6607886,6608319,6608595,6609912,6610053,6610275,6610911,6611081,6613732,6614155,6615891,6616068,6616203,6616981,6617464,6617847,6618173,6618943,6620503,6620995,6621113,6621139,6621170,6621386,6621441,6621536,6622158,6622312,6622433,6622517,6622652,6622759,6626361,6626978,6626999,6627195,6627832,6628014,6628554,6628614,6629363,6629389,6635808,6635870,6635898,6635951,6635977,6636117,6636143,6636289,6636331,6636428,6636605,6636678,6636737,6636797,6637045,6637679,6637710,6637767,6637948,6637983,6638086,6638422,6638600,6638706,6638840,6638940,6638970,6639190,6639289,6639354,6639650,6639754,6639847,6639897,6639975,6640120,6640716,6640750,6640777,6640954,6641212,6641304,6641334,6641488,6641517,6641651,6641811,6641945,6642027,6642087,6642291,6643242,6643378,6643477,6643637,6643657,6643690,6643720,6643900,6644076,6644462,6644664,6645167,6645306,6645763,6648004,6648352,6648373,6649645,', 'assoc_port': '6600535:6601260,6600537:6601697,6600543:6601212,6600545:6601368,6600547:6601566,6600550:6601794,6600553:6601313,6601140:6602310,6601199:6601839,6602727:6603847,6602729:6603990,6602732:6603617,6604400:6604929,6604702:6606358,6605500:6606281,6605502:6607128,6606682:6608319,6606685:6607886,6606687:6607393,6607836:6608595,6609197:6610053,6609198:6609912,6609963:6610275,6610497:6611081,6610499:6610911,6612953:6613732,6613333:6614155,6614966:6616203,6614968:6616068,6615360:6615891,6616171:6616981,6616960:6618173,6616966:6617464,6616967:6617847,6618310:6618943,6620036:6620503,6620039:6621386,6620042:6620995,6620404:6621139,6620441:6621441,6620445:6621170,6620446:6621536,6620449:6621113,6621639:6622652,6621642:6622759,6621645:6622517,6621652:6622433,6621655:6622158,6621661:6622312,6625901:6626361,6626270:6626978,6626272:6626999,6626275:6627195,6627097:6627832,6627099:6628014,6627946:6628554,6627948:6628614,6628988:6629363,6628991:6629389,6630847:6635951,6630851:6635977,6630853:6636678,6630854:6637679,6630934:6637767,', 'assoc_mat': '6600535:etiquette:3327:6601260,6600537:etiquette:3327:6601697,6600543:etiquette:3327:6601212,6600545:etiquette:3327:6601368,6600547:etiquette:3327:6601566,6600550:etiquette:3327:6601794,6600553:etiquette:3327:6601313,6601140:etiquette:3327:6602310,6601199:etiquette:3327:6601839,6602727:etiquette:3327:6603847,6602729:etiquette:3327:6603990,6602732:etiquette:3327:6603617,6604400:etiquette:3327:6604929,6604702:etiquette:3327:6606358,6605500:etiquette:3327:6606281,6605502:etiquette:3327:6607128,6606682:etiquette:3327:6608319,6606685:etiquette:3327:6607886,6606687:etiquette:3327:6607393,6607836:etiquette:3327:6608595,6609197:etiquette:3327:6610053,6609198:etiquette:3327:6609912,6609963:etiquette:3327:6610275,6610497:etiquette:3327:6611081,6610499:etiquette:3327:6610911,6612953:etiquette:3327:6613732,6613333:etiquette:3327:6614155,6614966:etiquette:3327:6616203,6614968:etiquette:3327:6616068,6615360:etiquette:3327:6615891,6616171:etiquette:3327:6616981,6616960:etiquette:3327:6618173,6616966:etiquette:3327:6617464,6'}, {'unwanted_material': 'etiquette', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.00042222109924499836, 'nb_photo': 28, 'list_port_cont': '6613076,6621900,6635395,6637437,6638359,6641572,6654692,6665194,6669586,6670051,6686808,6687472,6714497,6717610,6719817,6745800,6765266,6766701,6780408,6780724,6797654,6836540,6840198,6865778,6874405,6886806,6902498,6904836', 'assoc_port': '6612632:6613076,6621653:6621900,6632786:6635395,6632966:6670051,6635673:6637437,6637843:6638359,6641286:6641572,6654041:6654692,6664429:6665194,6668950:6669586,6686027:6719817,6686295:6687472,6686325:6686808,6688871:6714497,6716688:6717610,6744268:6745800,6764848:6765266,6765563:6766701,6779960:6780724,6780017:6780408,6797266:6797654,6835942:6836540,6839793:6840198,6865562:6865778,6873774:6874405,6886550:6886806,6899435:6902498,6904395:6904836', 'assoc_mat': '6612632:etiquette:4200:6613076,6621653:etiquette:4200:6621900,6632786:etiquette:4200:6635395,6632966:etiquette:4200:6670051,6635673:etiquette:4200:6637437,6637843:etiquette:4200:6638359,6641286:etiquette:4200:6641572,6654041:etiquette:4200:6654692,6664429:etiquette:4200:6665194,6668950:etiquette:4200:6669586,6686027:etiquette:4200:6719817,6686295:etiquette:4200:6687472,6686325:etiquette:4200:6686808,6688871:etiquette:4200:6714497,6716688:etiquette:4200:6717610,6744268:etiquette:4200:6745800,6764848:etiquette:4200:6765266,6765563:etiquette:4200:6766701,6779960:etiquette:4200:6780724,6780017:etiquette:4200:6780408,6797266:etiquette:4200:6797654,6835942:etiquette:4200:6836540,6839793:etiquette:4200:6840198,6865562:etiquette:4200:6865778,6873774:etiquette:4200:6874405,6886550:etiquette:4200:6886806,6899435:etiquette:4200:6902498,6904395:etiquette:4200:6904836'}, {'unwanted_material': 'film_plastique', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0010375570916267033, 'nb_photo': 51, 'list_port_cont': '6603435,6618321,6624160,6627326,6698377,6704173,6723230,6735453,6741145,6754070,6761155,6768723,6775026,6780641,6799270,6800313,6801310,6808096,6810127,6822556,6826374,6834088,6838769,6846429,6852169,6869926,6876022,6930487,6940833', 'assoc_port': '6602731:6603435,6617603:6618321,6620405:6624160,6626721:6627326,6638160:6704173,6653521:6723230,6664117:6735453,6671808:6834088,6682068:6768723,6685476:6799270,6685991:6800313,6686304:6801310,6696473:6698377,6740022:6741145,6745199:6810127,6753416:6754070,6760133:6761155,6774410:6775026,6780026:6780641,6786466:6808096,6820599:6822556,6825858:6826374,6837012:6838769,6846007:6846429,6851650:6852169,6869544:6869926,6875674:6876022,6894306:6930487,6900378:6940833', 'assoc_mat': '6602731:film_plastique:4203:6603435,6617603:film_plastique:4203:6618321,6620405:film_plastique:4203:6624160,6626721:film_plastique:4203:6627326,6638160:film_plastique:4203:6704173,6653521:film_plastique:4203:6723230,6664117:film_plastique:4203:6735453,6671808:film_plastique:4203:6834088,6682068:film_plastique:4203:6768723,6685476:film_plastique:4203:6799270,6685991:film_plastique:4203:6800313,6686304:film_plastique:4203:6801310,6696473:film_plastique:4203:6698377,6740022:film_plastique:4203:6741145,6745199:film_plastique:4203:6810127,6753416:film_plastique:4203:6754070,6760133:film_plastique:4203:6761155,6774410:film_plastique:4203:6775026,6780026:film_plastique:4203:6780641,6786466:film_plastique:4203:6808096,6820599:film_plastique:4203:6822556,6825858:film_plastique:4203:6826374,6837012:film_plastique:4203:6838769,6846007:film_plastique:4203:6846429,6851650:film_plastique:4203:6852169,6869544:film_plastique:4203:6869926,6875674:film_plastique:4203:6876022,6894306:film_plastique:4203:6930487,6900378:film_pla'}, {'unwanted_material': 'film_plastique', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0024536770792147593, 'nb_photo': 69, 'list_port_cont': '6600779,6602159,6617705,6618987,6620421,6620776,6621929,6622078,6627041,6638509,6641074,6648120,6655495,6664009,6667518,6668136,6668210,6670551,6670887,6672176,6673393,6674366,6678097,6690827,6692895,6694182,6695921,6697464,6699019,6712090,6712235,6716808,6721888,6723150,6723675,6724773,6740489,6742332,6751452,6824345', 'assoc_port': '6600540:6602159,6600552:6600779,6616961:6617705,6618302:6618987,6620037:6620421,6620448:6620776,6621640:6622078,6621646:6621929,6626722:6627041,6631190:6668136,6631196:6668210,6632661:6670551,6632883:6670887,6638162:6638509,6640593:6641074,6647214:6648120,6654838:6655495,6663620:6664009,6664426:6667518,6671806:6672176,6672700:6673393,6673893:6674366,6677866:6678097,6682898:6690827,6685513:6697464,6688873:6699019,6691778:6692895,6692502:6694182,6694731:6695921,6710867:6712235,6711682:6712090,6716079:6716808,6721779:6721888,6722817:6723150,6723504:6723675,6724593:6724773,6739465:6742332,6740030:6740489,6750987:6751452,6823971:6824345', 'assoc_mat': '6600540:film_plastique:4209:6602159,6600552:film_plastique:4209:6600779,6616961:film_plastique:4209:6617705,6618302:film_plastique:4209:6618987,6620037:film_plastique:4209:6620421,6620448:film_plastique:4209:6620776,6621640:film_plastique:4209:6622078,6621646:film_plastique:4209:6621929,6626722:film_plastique:4209:6627041,6631190:film_plastique:4209:6668136,6631196:film_plastique:4209:6668210,6632661:film_plastique:4209:6670551,6632883:film_plastique:4209:6670887,6638162:film_plastique:4209:6638509,6640593:film_plastique:4209:6641074,6647214:film_plastique:4209:6648120,6654838:film_plastique:4209:6655495,6663620:film_plastique:4209:6664009,6664426:film_plastique:4209:6667518,6671806:film_plastique:4209:6672176,6672700:film_plastique:4209:6673393,6673893:film_plastique:4209:6674366,6677866:film_plastique:4209:6678097,6682898:film_plastique:4209:6690827,6685513:film_plastique:4209:6697464,6688873:film_plastique:4209:6699019,6691778:film_plastique:4209:6692895,6692502:film_plastique:4209:6694182,6694731:film_pla'}, {'unwanted_material': 'film_plastique', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.004405144558639858, 'nb_photo': 50, 'list_port_cont': '6846222,6863051,6869293,6869651,6886840,6890965,6908908,6914944,6917082,6920507,6922345,6960431,12107792,12108029,12108283,12108676', 'assoc_port': '12107420:12108676,12107424:12108283,12107428:12108029,12107430:12107792,6845636:6846222,6862271:6863051,6868823:6869293,6869543:6869651,6886556:6886840,6890813:6890965,6902262:6908908,6914405:6914944,6916368:6917082,6919130:6920507,6919131:6960431,6920918:6922345', 'assoc_mat': '12107420:film_plastique:4209:12108676,12107424:film_plastique:4209:12108283,12107428:film_plastique:4209:12108029,12107430:film_plastique:4209:12107792,6845636:film_plastique:4209:6846222,6862271:film_plastique:4209:6863051,6868823:film_plastique:4209:6869293,6869543:film_plastique:4209:6869651,6886556:film_plastique:4209:6886840,6890813:film_plastique:4209:6890965,6902262:film_plastique:4209:6908908,6914405:film_plastique:4209:6914944,6916368:film_plastique:4209:6917082,6919130:film_plastique:4209:6920507,6919131:film_plastique:4209:6960431,6920918:film_plastique:4209:6922345'}, {'unwanted_material': 'film_plastique', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.006753454742247015, 'nb_photo': 34, 'list_port_cont': '6617254,6617671,6659522', 'assoc_port': '6616962:6617254,6616964:6617671,6652939:6659522', 'assoc_mat': '6616962:film_plastique:4207:6617254,6616964:film_plastique:4207:6617671,6652939:film_plastique:4207:6659522'}, {'unwanted_material': 'film_plastique', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.002259746608148063, 'nb_photo': 5499, 'list_port_cont': '6600849,6600890,6601017,6601442,6602275,6602592,6603008,6603406,6606076,6607678,6608058,6608295,6609456,6610404,6610609,6610652,6611148,6614536,6615399,6615435,6615793,6616511,6617424,6618766,6618925,6620326,6620921,6621065,6621674,6621974,6622008,6622128,6622208,6622454,6624061,6625573,6626621,6626647,6627282,6628485,6629175,6629247,6634383,6634658,6634850,6635144,6635829,6638283,6638444,6639153,6641001,6642062,6642716,6650045,6650153,6650270,6650961,6658508,6664038,6666449,6668094,6668173,6669613,6672032,6674008,6674546,6674641,6674770,6675073,6675109,6675137,6675474,6676525,6676617,6677121,6677223,6677802,6678045,6678212,6678572,6678654,6678774,6678959,6678990,6679232,6681260,6687145,6691518,6691651,6692290,6693202,6693680,6693906,6694032,6694214,6694412,6695522,6697517,6698427,6698760,6698790,6699374,6699429,6700667,6705446,6706630,6706777,6707225,6707821,6709736,6711239,6711396,6711489,6712153,6712493,6712628,6712756,6713442,6713595,6713761,6714400,6716476,6716567,6717500,6717544,6718036,6718525,6719027,', 'assoc_port': '10844008:10846072,10844009:10845794,10844010:10846040,10844011:10845549,10844012:10845979,10844013:10845414,10844014:10845182,10844015:10845079,10844016:10845170,10844017:10845132,10844018:10844951,10844019:10845054,10844020:10844687,10844021:10844442,12107423:12108313,12107427:12108076,12107429:12107822,6600536:6601442,6600544:6600849,6600546:6601017,6600551:6600890,6601138:6602592,6601649:6602275,6602728:6603008,6602733:6603406,6604399:6608058,6605499:6610652,6605688:6606076,6606683:6607678,6607835:6610404,6607839:6608295,6609199:6609456,6610498:6610609,6610992:6611148,6614199:6614536,6614967:6615399,6614969:6615435,6615362:6615793,6616173:6616511,6616982:6617424,6618307:6618766,6618311:6618925,6620040:6620326,6620422:6621674,6620444:6621065,6620447:6620921,6621638:6624061,6621643:6622454,6621647:6622208,6621651:6622128,6621654:6621974,6621659:6622008,6625236:6625573,6626268:6626621,6626274:6626647,6627098:6627282,6627945:6628485,6628987:6629175,6628989:6629247,6630850:6634850,6630852:6674008,6630856:663465', 'assoc_mat': '10844008:film_plastique:4211:10846072,10844009:film_plastique:4211:10845794,10844010:film_plastique:4211:10846040,10844011:film_plastique:4211:10845549,10844012:film_plastique:4211:10845979,10844013:film_plastique:4211:10845414,10844014:film_plastique:4211:10845182,10844015:film_plastique:4211:10845079,10844016:film_plastique:4211:10845170,10844017:film_plastique:4211:10845132,10844018:film_plastique:4211:10844951,10844019:film_plastique:4211:10845054,10844020:film_plastique:4211:10844687,10844021:film_plastique:4211:10844442,12107423:film_plastique:4211:12108313,12107427:film_plastique:4211:12108076,12107429:film_plastique:4211:12107822,6600536:film_plastique:4211:6601442,6600544:film_plastique:4211:6600849,6600546:film_plastique:4211:6601017,6600551:film_plastique:4211:6600890,6601138:film_plastique:4211:6602592,6601649:film_plastique:4211:6602275,6602728:film_plastique:4211:6603008,6602733:film_plastique:4211:6603406,6604399:film_plastique:4211:6608058,6605499:film_plastique:4211:6610652,6605688:film_plast'}, {'unwanted_material': 'film_plastique', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.009562760165995879, 'nb_photo': 651, 'list_port_cont': '6600935,6602065,6604873,6606113,6609166,6613072,6615619,6618496,6620183,6620863,6621894,6626781,6628361,6634253,6635399,6637071,6637439,6638362,6639237,6641573,6646019,6647326,6649276,6649481,6649910,6653428,6654681,6655699,6658476,6662389,6665188,6669588,6670057,6672611,6674515,6683658,6684468,6686795,6687232,6687468,6696454,6696813,6698466,6711565,6712273,6712779,6714502,6717597,6719828,6720160,6720216,6720243,6720362,6721257,6722534,6724152,6739287,6740805,6745514,6745792,6750253,6754188,6754560,6759424,6765277,6766706,6767355,6780405,6780527,6780713,6784028,6786844,6788649,6791328,6793700,6795545,6797658,6813918,6817663,6821381,6824093,6835171,6836542,6840210,6842440,6849225,6851785,6852368,6854521,6859028,6862726,6865775,6866336,6867967,6869257,6874408,6875757,6882725,6886810,6888104,6889508,6895295,6900331,6902499,6904843,6914441,6920747,6921624,6924250', 'assoc_port': '6600538:6600935,6601136:6602065,6604397:6604873,6605689:6606113,6608145:6609166,6612632:6613072,6615365:6615619,6618309:6618496,6620043:6620183,6620439:6620863,6621653:6621894,6626271:6626781,6627944:6628361,6630848:6646019,6631070:6649276,6631186:6634253,6631194:6649910,6631961:6655699,6632583:6662389,6632786:6635399,6632966:6670057,6635673:6637439,6635681:6637071,6637843:6638362,6638774:6639237,6641286:6641573,6646447:6647326,6648940:6649481,6650951:6653428,6654041:6654681,6657889:6658476,6664429:6665188,6668950:6669588,6671809:6672611,6673895:6674515,6681680:6683658,6683618:6684468,6685440:6720362,6685511:6720216,6686027:6719828,6686041:6720160,6686295:6687468,6686312:6687232,6686325:6686795,6688871:6714502,6690894:6698466,6693641:6696454,6696476:6696813,6710860:6711565,6711680:6712273,6712324:6712779,6716688:6717597,6718843:6720243,6720803:6721257,6722354:6722534,6723892:6724152,6738748:6739287,6740018:6740805,6740709:6745514,6744268:6745792,6748062:6750253,6753406:6754560,6753419:6754188,6759057:6759424,', 'assoc_mat': '6600538:film_plastique:4200:6600935,6601136:film_plastique:4200:6602065,6604397:film_plastique:4200:6604873,6605689:film_plastique:4200:6606113,6608145:film_plastique:4200:6609166,6612632:film_plastique:4200:6613072,6615365:film_plastique:4200:6615619,6618309:film_plastique:4200:6618496,6620043:film_plastique:4200:6620183,6620439:film_plastique:4200:6620863,6621653:film_plastique:4200:6621894,6626271:film_plastique:4200:6626781,6627944:film_plastique:4200:6628361,6630848:film_plastique:4200:6646019,6631070:film_plastique:4200:6649276,6631186:film_plastique:4200:6634253,6631194:film_plastique:4200:6649910,6631961:film_plastique:4200:6655699,6632583:film_plastique:4200:6662389,6632786:film_plastique:4200:6635399,6632966:film_plastique:4200:6670057,6635673:film_plastique:4200:6637439,6635681:film_plastique:4200:6637071,6637843:film_plastique:4200:6638362,6638774:film_plastique:4200:6639237,6641286:film_plastique:4200:6641573,6646447:film_plastique:4200:6647326,6648940:film_plastique:4200:6649481,6650951:film_pla'}, {'unwanted_material': 'kraft', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0013476688860348137, 'nb_photo': 25, 'list_port_cont': '6603437,6608810,6624174,6698367,6704169,6720534,6723222,6723404,6735448,6754066,6768737,6775016,6799274,6806349,6808099,6808748,6822563,6826367,6930490', 'assoc_port': '6602731:6603437,6608146:6608810,6620405:6624174,6638160:6704169,6653521:6723222,6664117:6735448,6682068:6768737,6685476:6799274,6696473:6698367,6718634:6720534,6722813:6723404,6753416:6754066,6765566:6808748,6774410:6775016,6786466:6808099,6793236:6806349,6820599:6822563,6825858:6826367,6894306:6930490', 'assoc_mat': '6602731:kraft:4203:6603437,6608146:kraft:4203:6608810,6620405:kraft:4203:6624174,6638160:kraft:4203:6704169,6653521:kraft:4203:6723222,6664117:kraft:4203:6735448,6682068:kraft:4203:6768737,6685476:kraft:4203:6799274,6696473:kraft:4203:6698367,6718634:kraft:4203:6720534,6722813:kraft:4203:6723404,6753416:kraft:4203:6754066,6765566:kraft:4203:6808748,6774410:kraft:4203:6775016,6786466:kraft:4203:6808099,6793236:kraft:4203:6806349,6820599:kraft:4203:6822563,6825858:kraft:4203:6826367,6894306:kraft:4203:6930490'}, {'unwanted_material': 'kraft', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0002605400427680809, 'nb_photo': 31, 'list_port_cont': '6602597,6603402,6608291,6621971,6629173,6635141,6674012,6675078,6718038,6721839,6731861,6756973,6763094,6767267,6782609,6783130,6786055,6787764,6799513,6800227,6800537,6806177,6808705,6863473,6869206,6917724', 'assoc_port': '6601138:6602597,6602733:6603402,6607839:6608291,6621654:6621971,6628987:6629173,6630852:6674012,6631065:6675078,6631193:6635141,6640595:6806177,6651292:6721839,6657891:6731861,6685502:6799513,6685989:6800227,6686094:6800537,6717679:6718038,6748064:6756973,6762546:6763094,6765565:6808705,6766922:6767267,6779975:6786055,6782244:6783130,6782282:6782609,6787218:6787764,6862775:6863473,6868825:6869206,6916370:6917724', 'assoc_mat': '6601138:kraft:4211:6602597,6602733:kraft:4211:6603402,6607839:kraft:4211:6608291,6621654:kraft:4211:6621971,6628987:kraft:4211:6629173,6630852:kraft:4211:6674012,6631065:kraft:4211:6675078,6631193:kraft:4211:6635141,6640595:kraft:4211:6806177,6651292:kraft:4211:6721839,6657891:kraft:4211:6731861,6685502:kraft:4211:6799513,6685989:kraft:4211:6800227,6686094:kraft:4211:6800537,6717679:kraft:4211:6718038,6748064:kraft:4211:6756973,6762546:kraft:4211:6763094,6765565:kraft:4211:6808705,6766922:kraft:4211:6767267,6779975:kraft:4211:6786055,6782244:kraft:4211:6783130,6782282:kraft:4211:6782609,6787218:kraft:4211:6787764,6862775:kraft:4211:6863473,6868825:kraft:4211:6869206,6916370:kraft:4211:6917724'}, {'unwanted_material': 'kraft', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.002080903131306298, 'nb_photo': 8, 'list_port_cont': '6654687,6665187,6711559,6739285,6786851,6875988,6895294', 'assoc_port': '6654041:6654687,6664429:6665187,6710860:6711559,6738748:6739285,6786463:6786851,6875675:6875988,6894305:6895294', 'assoc_mat': '6654041:kraft:4200:6654687,6664429:kraft:4200:6665187,6710860:kraft:4200:6711559,6738748:kraft:4200:6739285,6786463:kraft:4200:6786851,6875675:kraft:4200:6875988,6894305:kraft:4200:6895294'}, {'unwanted_material': 'metal', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0025689075464105384, 'nb_photo': 116, 'list_port_cont': '6603439,6608802,6618323,6624168,6627336,6634744,6634804,6698366,6704170,6712714,6720531,6723221,6723414,6735153,6741143,6754064,6768738,6775029,6780637,6799279,6800304,6801309,6806355,6808095,6808740,6810126,6812819,6822550,6826362,6834102,6838768,6846434,6852156,6863255,6865671,6869930,6876016,6930480,6940846,10844182', 'assoc_port': '10844025:10844182,6602731:6603439,6608146:6608802,6617603:6618323,6620405:6624168,6626721:6627336,6630937:6634744,6631483:6634804,6638160:6704170,6653521:6723221,6671808:6834102,6682068:6768738,6685476:6799279,6685991:6800304,6686304:6801309,6690887:6735153,6696473:6698366,6712332:6712714,6718634:6720531,6722813:6723414,6740022:6741143,6745199:6810126,6753416:6754064,6765566:6808740,6774410:6775029,6780026:6780637,6786466:6808095,6793236:6806355,6811950:6812819,6820599:6822550,6825858:6826362,6837012:6838768,6846007:6846434,6851650:6852156,6863104:6863255,6865559:6865671,6869544:6869930,6875674:6876016,6894306:6930480,6900378:6940846', 'assoc_mat': '10844025:metal:4203:10844182,6602731:metal:4203:6603439,6608146:metal:4203:6608802,6617603:metal:4203:6618323,6620405:metal:4203:6624168,6626721:metal:4203:6627336,6630937:metal:4203:6634744,6631483:metal:4203:6634804,6638160:metal:4203:6704170,6653521:metal:4203:6723221,6671808:metal:4203:6834102,6682068:metal:4203:6768738,6685476:metal:4203:6799279,6685991:metal:4203:6800304,6686304:metal:4203:6801309,6690887:metal:4203:6735153,6696473:metal:4203:6698366,6712332:metal:4203:6712714,6718634:metal:4203:6720531,6722813:metal:4203:6723414,6740022:metal:4203:6741143,6745199:metal:4203:6810126,6753416:metal:4203:6754064,6765566:metal:4203:6808740,6774410:metal:4203:6775029,6780026:metal:4203:6780637,6786466:metal:4203:6808095,6793236:metal:4203:6806355,6811950:metal:4203:6812819,6820599:metal:4203:6822550,6825858:metal:4203:6826362,6837012:metal:4203:6838768,6846007:metal:4203:6846434,6851650:metal:4203:6852156,6863104:metal:4203:6863255,6865559:metal:4203:6865671,6869544:metal:4203:6869930,6875674:metal:4203:6876'}, {'unwanted_material': 'metal', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.01620320652826406, 'nb_photo': 95, 'list_port_cont': '6600765,6601464,6602163,6616735,6618978,6620417,6620780,6621471,6622065,6625394,6627054,6638506,6641080,6644333,6647279,6648126,6651921,6655492,6664016,6666561,6668141,6668996,6669285,6669399,6670444,6670900,6672174,6673388,6678096,6690826,6692907,6695450,6695916,6697457,6711036,6712095,6712243,6716818,6721890,6723141,6723677,6740494,6751439,6754759,6791206,6812443', 'assoc_port': '6600533:6601464,6600540:6602163,6600552:6600765,6616168:6616735,6618302:6618978,6620037:6620417,6620443:6621471,6620448:6620780,6621640:6622065,6625237:6625394,6626722:6627054,6631064:6666561,6631190:6668141,6631480:6668996,6631482:6669285,6631491:6669399,6632580:6670444,6632883:6670900,6638162:6638506,6638777:6644333,6640593:6641080,6646444:6647279,6647214:6648126,6650509:6651921,6654838:6655492,6663620:6664016,6671806:6672174,6672700:6673388,6677866:6678096,6682898:6690826,6685513:6697457,6691778:6692907,6694731:6695916,6694740:6695450,6709375:6711036,6710867:6712243,6711682:6712095,6716079:6716818,6721779:6721890,6722817:6723141,6723504:6723677,6740030:6740494,6741911:6754759,6750987:6751439,6790915:6791206,6811912:6812443', 'assoc_mat': '6600533:metal:4209:6601464,6600540:metal:4209:6602163,6600552:metal:4209:6600765,6616168:metal:4209:6616735,6618302:metal:4209:6618978,6620037:metal:4209:6620417,6620443:metal:4209:6621471,6620448:metal:4209:6620780,6621640:metal:4209:6622065,6625237:metal:4209:6625394,6626722:metal:4209:6627054,6631064:metal:4209:6666561,6631190:metal:4209:6668141,6631480:metal:4209:6668996,6631482:metal:4209:6669285,6631491:metal:4209:6669399,6632580:metal:4209:6670444,6632883:metal:4209:6670900,6638162:metal:4209:6638506,6638777:metal:4209:6644333,6640593:metal:4209:6641080,6646444:metal:4209:6647279,6647214:metal:4209:6648126,6650509:metal:4209:6651921,6654838:metal:4209:6655492,6663620:metal:4209:6664016,6671806:metal:4209:6672174,6672700:metal:4209:6673388,6677866:metal:4209:6678096,6682898:metal:4209:6690826,6685513:metal:4209:6697457,6691778:metal:4209:6692907,6694731:metal:4209:6695916,6694740:metal:4209:6695450,6709375:metal:4209:6711036,6710867:metal:4209:6712243,6711682:metal:4209:6712095,6716079:metal:4209:671681'}, {'unwanted_material': 'metal', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.03813640273004401, 'nb_photo': 50, 'list_port_cont': '6846234,6869292,6869658,6886838,6890968,6894664,6908915,6914949,6920506,6922343,6960437,12108025,12108375,12108683', 'assoc_port': '12107420:12108683,12107422:12108375,12107428:12108025,6845636:6846234,6868823:6869292,6869543:6869658,6886556:6886838,6890813:6890968,6894304:6894664,6902262:6908915,6914405:6914949,6919130:6920506,6919131:6960437,6920918:6922343', 'assoc_mat': '12107420:metal:4209:12108683,12107422:metal:4209:12108375,12107428:metal:4209:12108025,6845636:metal:4209:6846234,6868823:metal:4209:6869292,6869543:metal:4209:6869658,6886556:metal:4209:6886838,6890813:metal:4209:6890968,6894304:metal:4209:6894664,6902262:metal:4209:6908915,6914405:metal:4209:6914949,6919130:metal:4209:6920506,6919131:metal:4209:6960437,6920918:metal:4209:6922343'}, {'unwanted_material': 'metal', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.28424781729752074, 'nb_photo': 15, 'list_port_cont': '6617261,6617679,6659518', 'assoc_port': '6616962:6617261,6616964:6617679,6652939:6659518', 'assoc_mat': '6616962:metal:4207:6617261,6616964:metal:4207:6617679,6652939:metal:4207:6659518'}, {'unwanted_material': 'metal', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.014105013759782188, 'nb_photo': 4099, 'list_port_cont': '6600856,6600899,6601011,6601438,6601603,6602271,6602596,6603016,6603404,6606080,6607692,6608057,6608280,6609447,6610406,6610603,6610660,6611150,6613941,6614530,6615402,6615431,6615798,6616522,6617438,6618772,6618911,6620212,6620337,6620916,6621058,6621671,6621967,6622006,6622131,6622198,6622469,6624050,6625565,6626622,6626649,6627272,6628473,6629174,6629239,6634384,6634649,6634849,6635130,6635842,6638288,6638454,6639155,6641000,6642050,6642701,6649970,6650051,6650148,6650282,6650968,6653714,6658501,6664036,6666452,6668086,6668172,6669618,6672033,6674018,6674395,6674559,6674640,6674768,6675067,6675113,6675145,6675475,6676538,6676615,6677120,6677227,6677799,6678035,6678225,6678304,6678567,6678655,6678773,6678968,6679000,6679222,6681257,6687134,6691497,6691663,6692286,6693199,6693683,6693905,6694046,6694218,6694411,6695512,6697510,6698424,6698770,6698800,6699365,6699425,6700612,6700659,6705447,6706623,6706766,6707227,6707825,6709724,6711225,6711407,6711492,6712148,6712489,6712634,6712755,6713434,6713596,6713751,', 'assoc_port': '10844008:10846070,10844009:10845782,10844010:10846037,10844011:10845544,10844012:10845982,10844013:10845413,10844014:10845190,10844015:10845088,10844016:10845174,10844017:10845137,10844018:10844954,10844019:10845038,10844020:10844683,10844021:10844455,12107423:12108305,12107427:12108080,12107429:12107834,6600536:6601438,6600544:6600856,6600546:6601011,6600551:6600899,6601138:6602596,6601142:6601603,6601649:6602271,6602728:6603016,6602733:6603404,6604399:6608057,6605499:6610660,6605688:6606080,6606683:6607692,6607835:6610406,6607839:6608280,6609199:6609447,6610498:6610603,6610992:6611150,6613877:6613941,6614199:6614530,6614967:6615402,6614969:6615431,6615362:6615798,6616173:6616522,6616982:6617438,6618307:6618772,6618311:6618911,6620038:6620212,6620040:6620337,6620422:6621671,6620444:6621058,6620447:6620916,6621638:6624050,6621643:6622469,6621647:6622198,6621651:6622131,6621654:6621967,6621659:6622006,6625236:6625565,6626268:6626622,6626274:6626649,6627098:6627272,6627945:6628473,6628987:6629174,6628989:662923', 'assoc_mat': '10844008:metal:4211:10846070,10844009:metal:4211:10845782,10844010:metal:4211:10846037,10844011:metal:4211:10845544,10844012:metal:4211:10845982,10844013:metal:4211:10845413,10844014:metal:4211:10845190,10844015:metal:4211:10845088,10844016:metal:4211:10845174,10844017:metal:4211:10845137,10844018:metal:4211:10844954,10844019:metal:4211:10845038,10844020:metal:4211:10844683,10844021:metal:4211:10844455,12107423:metal:4211:12108305,12107427:metal:4211:12108080,12107429:metal:4211:12107834,6600536:metal:4211:6601438,6600544:metal:4211:6600856,6600546:metal:4211:6601011,6600551:metal:4211:6600899,6601138:metal:4211:6602596,6601142:metal:4211:6601603,6601649:metal:4211:6602271,6602728:metal:4211:6603016,6602733:metal:4211:6603404,6604399:metal:4211:6608057,6605499:metal:4211:6610660,6605688:metal:4211:6606080,6606683:metal:4211:6607692,6607835:metal:4211:6610406,6607839:metal:4211:6608280,6609199:metal:4211:6609447,6610498:metal:4211:6610603,6610992:metal:4211:6611150,6613877:metal:4211:6613941,6614199:metal:4211'}, {'unwanted_material': 'metal', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0018611932504713049, 'nb_photo': 168, 'list_port_cont': '6602309,6606381,6607132,6607892,6608676,6609913,6610058,6613724,6618178,6621382,6621446,6622317,6622515,6622750,6627836,6629357,6635868,6636122,6636323,6636736,6637761,6638093,6638417,6638705,6638836,6638971,6639356,6639756,6639841,6640772,6640965,6642021,6642089,6643659,6643689,6644080,6648806,6652946,6664581,6668616,6674494,6675599,6676588,6681849,6685021,6686471,6687366,6687492,6688258,6688984,6689512,6689535,6690288,6690633,6692197,6692683,6693648,6696369,6697176,6697873,6698735,6698882,6699062,6699467,6700152,6712810,6712846,6713279,6718380,6719374,6721461,6722064,6723542,6724041,6725336,6740417,6745471,6746032,6750024,6751761,6754361,6754498,6754531,6756337,6760376,6761240,6765850,6767303,6767722,6781605,6782080,6783162,6784119,6788824,6789101,6789299,6790666,6792153,6792401,6797280,6797781,6798013,6817846,6821598,6833582,6834267,6840067,6843272,6851938,6852133,6852491,6854288,6865690,6865866,6869175,6875951,6876047,6876102,6876518,6887363,6887386,6888987,6890298,6891134,6895349,6904238,6904578,6915036', 'assoc_port': '6601140:6602309,6604702:6606381,6605502:6607132,6606685:6607892,6607838:6608676,6609197:6610058,6609198:6609913,6612953:6613724,6616960:6618178,6620039:6621382,6620441:6621446,6621642:6622750,6621645:6622515,6621661:6622317,6627097:6627836,6628988:6629357,6630934:6637761,6630938:6638093,6631068:6638836,6631071:6638971,6631076:6639356,6631490:6640772,6631493:6640965,6631964:6642089,6632713:6648806,6632788:6643659,6632880:6636323,6632882:6644080,6633863:6635868,6635683:6636736,6635684:6636122,6637839:6638705,6637844:6638417,6638772:6639841,6638775:6639756,6640596:6643689,6641258:6642021,6650952:6652946,6663623:6664581,6667559:6668616,6673888:6675599,6673890:6674494,6674743:6676588,6681004:6681849,6683621:6685021,6685438:6699467,6685448:6698882,6685487:6698735,6685490:6699062,6685495:6700152,6685528:6687366,6685534:6686471,6686008:6697873,6686056:6697176,6686063:6689512,6686284:6689535,6686287:6690633,6686297:6688984,6686305:6688258,6686329:6687492,6688867:6690288,6690873:6692197,6691781:6692683,6692503:6693648,', 'assoc_mat': '6601140:metal:3327:6602309,6604702:metal:3327:6606381,6605502:metal:3327:6607132,6606685:metal:3327:6607892,6607838:metal:3327:6608676,6609197:metal:3327:6610058,6609198:metal:3327:6609913,6612953:metal:3327:6613724,6616960:metal:3327:6618178,6620039:metal:3327:6621382,6620441:metal:3327:6621446,6621642:metal:3327:6622750,6621645:metal:3327:6622515,6621661:metal:3327:6622317,6627097:metal:3327:6627836,6628988:metal:3327:6629357,6630934:metal:3327:6637761,6630938:metal:3327:6638093,6631068:metal:3327:6638836,6631071:metal:3327:6638971,6631076:metal:3327:6639356,6631490:metal:3327:6640772,6631493:metal:3327:6640965,6631964:metal:3327:6642089,6632713:metal:3327:6648806,6632788:metal:3327:6643659,6632880:metal:3327:6636323,6632882:metal:3327:6644080,6633863:metal:3327:6635868,6635683:metal:3327:6636736,6635684:metal:3327:6636122,6637839:metal:3327:6638705,6637844:metal:3327:6638417,6638772:metal:3327:6639841,6638775:metal:3327:6639756,6640596:metal:3327:6643689,6641258:metal:3327:6642021,6650952:metal:3327:665294'}, {'unwanted_material': 'metal', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.008187433477581552, 'nb_photo': 161, 'list_port_cont': '6600924,6604874,6606109,6609169,6613066,6615621,6618495,6620180,6620864,6621895,6628356,6635390,6637077,6637440,6638365,6639245,6646018,6649283,6649472,6649917,6653439,6654695,6655708,6662393,6672612,6674525,6683669,6684477,6686796,6687223,6687470,6696448,6696812,6698463,6711552,6712278,6714493,6719818,6720151,6720203,6720239,6720363,6721248,6722529,6724153,6740811,6745799,6750239,6754562,6759423,6765268,6767356,6780402,6780532,6784026,6786842,6788648,6791326,6793698,6797669,6813916,6824104,6835192,6836545,6840197,6842435,6849222,6851783,6852365,6854532,6859036,6862724,6866334,6867975,6869267,6874413,6875761,6875987,6882735,6895285,6900330,6902505,6904844,6914446,6920751,6921633', 'assoc_port': '6600538:6600924,6604397:6604874,6605689:6606109,6608145:6609169,6612632:6613066,6615365:6615621,6618309:6618495,6620043:6620180,6620439:6620864,6621653:6621895,6627944:6628356,6630848:6646018,6631070:6649283,6631194:6649917,6631961:6655708,6632583:6662393,6632786:6635390,6635673:6637440,6635681:6637077,6637843:6638365,6638774:6639245,6648940:6649472,6650951:6653439,6654041:6654695,6671809:6672612,6673895:6674525,6681680:6683669,6683618:6684477,6685440:6720363,6685511:6720203,6686027:6719818,6686041:6720151,6686295:6687470,6686312:6687223,6686325:6686796,6688871:6714493,6690894:6698463,6693641:6696448,6696476:6696812,6710860:6711552,6711680:6712278,6718843:6720239,6720803:6721248,6722354:6722529,6723892:6724153,6740018:6740811,6744268:6745799,6748062:6750239,6753406:6754562,6759057:6759423,6764848:6765268,6766924:6767356,6779977:6780532,6780017:6780402,6782249:6784026,6786463:6786842,6787690:6788648,6790918:6791326,6793238:6793698,6797266:6797669,6813389:6813916,6823753:6824104,6833510:6835192,6835942:6836545,', 'assoc_mat': '6600538:metal:4200:6600924,6604397:metal:4200:6604874,6605689:metal:4200:6606109,6608145:metal:4200:6609169,6612632:metal:4200:6613066,6615365:metal:4200:6615621,6618309:metal:4200:6618495,6620043:metal:4200:6620180,6620439:metal:4200:6620864,6621653:metal:4200:6621895,6627944:metal:4200:6628356,6630848:metal:4200:6646018,6631070:metal:4200:6649283,6631194:metal:4200:6649917,6631961:metal:4200:6655708,6632583:metal:4200:6662393,6632786:metal:4200:6635390,6635673:metal:4200:6637440,6635681:metal:4200:6637077,6637843:metal:4200:6638365,6638774:metal:4200:6639245,6648940:metal:4200:6649472,6650951:metal:4200:6653439,6654041:metal:4200:6654695,6671809:metal:4200:6672612,6673895:metal:4200:6674525,6681680:metal:4200:6683669,6683618:metal:4200:6684477,6685440:metal:4200:6720363,6685511:metal:4200:6720203,6686027:metal:4200:6719818,6686041:metal:4200:6720151,6686295:metal:4200:6687470,6686312:metal:4200:6687223,6686325:metal:4200:6686796,6688871:metal:4200:6714493,6690894:metal:4200:6698463,6693641:metal:4200:669644'}, {'unwanted_material': 'papier', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.061231730810446236, 'nb_photo': 10116, 'list_port_cont': '6603432,6608812,6618330,6624173,6627328,6634747,6634795,6660087,6698364,6704163,6712713,6720535,6723229,6723411,6735156,6735458,6741135,6754073,6761149,6768728,6775022,6780633,6799278,6800307,6801306,6806356,6808105,6808742,6810131,6812817,6822555,6826373,6834089,6838762,6846431,6852157,6863266,6865666,6869918,6876010,6930481,6940835,10844177', 'assoc_port': '10844025:10844177,6602731:6603432,6608146:6608812,6617603:6618330,6620405:6624173,6626721:6627328,6630937:6634747,6631483:6634795,6632879:6660087,6638160:6704163,6653521:6723229,6664117:6735458,6671808:6834089,6682068:6768728,6685476:6799278,6685991:6800307,6686304:6801306,6690887:6735156,6696473:6698364,6712332:6712713,6718634:6720535,6722813:6723411,6740022:6741135,6745199:6810131,6753416:6754073,6760133:6761149,6765566:6808742,6774410:6775022,6780026:6780633,6786466:6808105,6793236:6806356,6811950:6812817,6820599:6822555,6825858:6826373,6837012:6838762,6846007:6846431,6851650:6852157,6863104:6863266,6865559:6865666,6869544:6869918,6875674:6876010,6894306:6930481,6900378:6940835', 'assoc_mat': '10844025:papier:4203:10844177,6602731:papier:4203:6603432,6608146:papier:4203:6608812,6617603:papier:4203:6618330,6620405:papier:4203:6624173,6626721:papier:4203:6627328,6630937:papier:4203:6634747,6631483:papier:4203:6634795,6632879:papier:4203:6660087,6638160:papier:4203:6704163,6653521:papier:4203:6723229,6664117:papier:4203:6735458,6671808:papier:4203:6834089,6682068:papier:4203:6768728,6685476:papier:4203:6799278,6685991:papier:4203:6800307,6686304:papier:4203:6801306,6690887:papier:4203:6735156,6696473:papier:4203:6698364,6712332:papier:4203:6712713,6718634:papier:4203:6720535,6722813:papier:4203:6723411,6740022:papier:4203:6741135,6745199:papier:4203:6810131,6753416:papier:4203:6754073,6760133:papier:4203:6761149,6765566:papier:4203:6808742,6774410:papier:4203:6775022,6780026:papier:4203:6780633,6786466:papier:4203:6808105,6793236:papier:4203:6806356,6811950:papier:4203:6812817,6820599:papier:4203:6822555,6825858:papier:4203:6826373,6837012:papier:4203:6838762,6846007:papier:4203:6846431,6851650:papier'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.026271390056728197, 'nb_photo': 8, 'list_port_cont': '12107737,12108213', 'assoc_port': '12107419:12108213,12107426:12107737', 'assoc_mat': '12107419:papier:4207:12108213,12107426:papier:4207:12107737'}, {'unwanted_material': 'papier', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.9818228416534489, 'nb_photo': 22895, 'list_port_cont': '6600771,6601474,6602161,6616739,6617534,6617710,6618973,6620407,6620774,6621480,6621932,6622068,6625404,6627042,6637128,6638496,6641078,6644338,6647274,6648128,6651923,6655481,6657574,6664005,6666560,6667526,6668133,6668203,6668997,6669282,6669400,6670442,6670550,6670895,6672175,6673389,6674361,6678087,6682355,6690830,6692892,6694186,6695449,6695911,6697461,6699021,6711049,6712084,6712241,6716813,6721889,6723151,6723680,6724781,6740492,6742323,6751441,6754771,6791212,6812437,6824349', 'assoc_port': '6600533:6601474,6600540:6602161,6600552:6600771,6616168:6616739,6616961:6617710,6616963:6617534,6618302:6618973,6620037:6620407,6620443:6621480,6620448:6620774,6621640:6622068,6621646:6621932,6625237:6625404,6626722:6627042,6631064:6666560,6631190:6668133,6631196:6668203,6631480:6668997,6631482:6669282,6631491:6669400,6632580:6670442,6632661:6670550,6632883:6670895,6633864:6637128,6638162:6638496,6638777:6644338,6640593:6641078,6646444:6647274,6647214:6648128,6650509:6651923,6654838:6655481,6656897:6657574,6663620:6664005,6664426:6667526,6671806:6672175,6672700:6673389,6673893:6674361,6677866:6678087,6681682:6682355,6682898:6690830,6685513:6697461,6688873:6699021,6691778:6692892,6692502:6694186,6694731:6695911,6694740:6695449,6709375:6711049,6710867:6712241,6711682:6712084,6716079:6716813,6721779:6721889,6722817:6723151,6723504:6723680,6724593:6724781,6739465:6742323,6740030:6740492,6741911:6754771,6750987:6751441,6790915:6791212,6811912:6812437,6823971:6824349', 'assoc_mat': '6600533:papier:4209:6601474,6600540:papier:4209:6602161,6600552:papier:4209:6600771,6616168:papier:4209:6616739,6616961:papier:4209:6617710,6616963:papier:4209:6617534,6618302:papier:4209:6618973,6620037:papier:4209:6620407,6620443:papier:4209:6621480,6620448:papier:4209:6620774,6621640:papier:4209:6622068,6621646:papier:4209:6621932,6625237:papier:4209:6625404,6626722:papier:4209:6627042,6631064:papier:4209:6666560,6631190:papier:4209:6668133,6631196:papier:4209:6668203,6631480:papier:4209:6668997,6631482:papier:4209:6669282,6631491:papier:4209:6669400,6632580:papier:4209:6670442,6632661:papier:4209:6670550,6632883:papier:4209:6670895,6633864:papier:4209:6637128,6638162:papier:4209:6638496,6638777:papier:4209:6644338,6640593:papier:4209:6641078,6646444:papier:4209:6647274,6647214:papier:4209:6648128,6650509:papier:4209:6651923,6654838:papier:4209:6655481,6656897:papier:4209:6657574,6663620:papier:4209:6664005,6664426:papier:4209:6667526,6671806:papier:4209:6672175,6672700:papier:4209:6673389,6673893:papier:4'}, {'unwanted_material': 'papier', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.9778679543860948, 'nb_photo': 9654, 'list_port_cont': '6846225,6863052,6869290,6869652,6886839,6890954,6894669,6908902,6914938,6917074,6920517,6922339,6960439,12107799,12108033,12108279,12108335,12108368,12108547,12108681,12151216', 'assoc_port': '12107418:12151216,12107420:12108681,12107421:12108547,12107422:12108368,12107424:12108279,12107425:12108335,12107428:12108033,12107430:12107799,6845636:6846225,6862271:6863052,6868823:6869290,6869543:6869652,6886556:6886839,6890813:6890954,6894304:6894669,6902262:6908902,6914405:6914938,6916368:6917074,6919130:6920517,6919131:6960439,6920918:6922339', 'assoc_mat': '12107418:papier:4209:12151216,12107420:papier:4209:12108681,12107421:papier:4209:12108547,12107422:papier:4209:12108368,12107424:papier:4209:12108279,12107425:papier:4209:12108335,12107428:papier:4209:12108033,12107430:papier:4209:12107799,6845636:papier:4209:6846225,6862271:papier:4209:6863052,6868823:papier:4209:6869290,6869543:papier:4209:6869652,6886556:papier:4209:6886839,6890813:papier:4209:6890954,6894304:papier:4209:6894669,6902262:papier:4209:6908902,6914405:papier:4209:6914938,6916368:papier:4209:6917074,6919130:papier:4209:6920517,6919131:papier:4209:6960439,6920918:papier:4209:6922339'}, {'unwanted_material': 'papier', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.01913239060931627, 'nb_photo': 173, 'list_port_cont': '6617263,6617672,6633555,6659520', 'assoc_port': '6616962:6617263,6616964:6617672,6631478:6633555,6652939:6659520', 'assoc_mat': '6616962:papier:4207:6617263,6616964:papier:4207:6617672,6631478:papier:4207:6633555,6652939:papier:4207:6659520'}, {'unwanted_material': 'papier', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.02200696110253512, 'nb_photo': 44767, 'list_port_cont': '6600859,6600889,6601024,6601441,6601504,6602279,6602446,6602594,6603004,6603395,6605883,6606067,6607684,6608067,6608284,6609460,6610408,6610604,6610647,6611155,6613695,6614035,6614526,6615395,6615430,6615802,6616513,6617436,6618598,6618775,6618915,6620220,6620329,6620926,6621066,6621670,6621709,6621963,6621993,6622136,6622195,6622456,6624056,6625570,6626617,6626659,6627281,6628480,6629180,6629253,6634378,6634445,6634659,6634723,6634856,6635137,6635833,6638284,6638445,6639159,6640995,6642056,6642709,6648980,6650056,6650154,6650269,6650966,6653712,6658497,6664045,6666459,6668084,6668174,6669620,6672034,6674013,6674557,6674636,6674758,6674902,6675068,6675112,6675138,6675487,6676025,6676535,6676626,6677122,6677215,6677813,6678048,6678214,6678566,6678657,6678767,6678938,6678965,6679003,6679162,6679227,6681256,6687142,6691490,6691666,6692285,6693203,6693684,6693895,6694008,6694043,6694209,6694415,6695514,6697518,6698423,6698761,6698796,6699375,6699424,6700614,6700670,6704525,6705435,6706448,6706631,6706771,6707237,', 'assoc_port': '10844008:10846064,10844009:10845789,10844010:10846038,10844011:10845545,10844012:10845980,10844013:10845418,10844014:10845180,10844015:10845083,10844016:10845173,10844017:10845135,10844018:10844948,10844019:10845046,10844020:10844685,10844021:10844451,12107423:12108307,12107427:12108063,12107429:12107830,6600536:6601441,6600541:6601504,6600544:6600859,6600546:6601024,6600551:6600889,6601134:6602446,6601138:6602594,6601649:6602279,6602728:6603004,6602733:6603395,6604399:6608067,6605499:6610647,6605503:6605883,6605688:6606067,6606683:6607684,6607835:6610408,6607839:6608284,6609199:6609460,6610498:6610604,6610992:6611155,6613334:6613695,6613876:6614035,6614199:6614526,6614967:6615395,6614969:6615430,6615362:6615802,6616173:6616513,6616982:6617436,6618305:6618598,6618307:6618775,6618311:6618915,6620038:6620220,6620040:6620329,6620422:6621670,6620440:6621709,6620444:6621066,6620447:6620926,6621638:6624056,6621643:6622456,6621647:6622195,6621651:6622136,6621654:6621963,6621659:6621993,6625236:6625570,6626268:662661', 'assoc_mat': '10844008:papier:4211:10846064,10844009:papier:4211:10845789,10844010:papier:4211:10846038,10844011:papier:4211:10845545,10844012:papier:4211:10845980,10844013:papier:4211:10845418,10844014:papier:4211:10845180,10844015:papier:4211:10845083,10844016:papier:4211:10845173,10844017:papier:4211:10845135,10844018:papier:4211:10844948,10844019:papier:4211:10845046,10844020:papier:4211:10844685,10844021:papier:4211:10844451,12107423:papier:4211:12108307,12107427:papier:4211:12108063,12107429:papier:4211:12107830,6600536:papier:4211:6601441,6600541:papier:4211:6601504,6600544:papier:4211:6600859,6600546:papier:4211:6601024,6600551:papier:4211:6600889,6601134:papier:4211:6602446,6601138:papier:4211:6602594,6601649:papier:4211:6602279,6602728:papier:4211:6603004,6602733:papier:4211:6603395,6604399:papier:4211:6608067,6605499:papier:4211:6610647,6605503:papier:4211:6605883,6605688:papier:4211:6606067,6606683:papier:4211:6607684,6607835:papier:4211:6610408,6607839:papier:4211:6608284,6609199:papier:4211:6609460,6610498:pa'}, {'unwanted_material': 'papier', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.009355240101605987, 'nb_photo': 6285, 'list_port_cont': '6601213,6601256,6601317,6601373,6601553,6601698,6601785,6601845,6602306,6603618,6603848,6603983,6604941,6606282,6606355,6607130,6607397,6607894,6608325,6608588,6608678,6608962,6609907,6610050,6610277,6610916,6611080,6613729,6614150,6615896,6616066,6616196,6616978,6617467,6617840,6618171,6618951,6620513,6620986,6621120,6621143,6621171,6621389,6621444,6621532,6622103,6622164,6622319,6622375,6622434,6622526,6622660,6622747,6626370,6626972,6627003,6627196,6627833,6628017,6628555,6628622,6629355,6629386,6635801,6635866,6635899,6635944,6635981,6636042,6636111,6636140,6636285,6636315,6636430,6636597,6636684,6636728,6636793,6637051,6637686,6637707,6637760,6637847,6637947,6637985,6638092,6638415,6638592,6638709,6638831,6638953,6638977,6639183,6639295,6639358,6639648,6639762,6639839,6639905,6639970,6640128,6640718,6640743,6640775,6640957,6641216,6641307,6641324,6641487,6641516,6641659,6641814,6641948,6642020,6642091,6642283,6643241,6643369,6643482,6643610,6643638,6643667,6643692,6643717,6643898,6644077,6644463,6644658,', 'assoc_port': '6600535:6601256,6600537:6601698,6600543:6601213,6600545:6601373,6600547:6601553,6600550:6601785,6600553:6601317,6601140:6602306,6601199:6601845,6602727:6603848,6602729:6603983,6602732:6603618,6604400:6604941,6604702:6606355,6605500:6606282,6605502:6607130,6606682:6608325,6606685:6607894,6606687:6607397,6607836:6608588,6607838:6608678,6608144:6608962,6609197:6610050,6609198:6609907,6609963:6610277,6610497:6611080,6610499:6610916,6612953:6613729,6613333:6614150,6614966:6616196,6614968:6616066,6615360:6615896,6616171:6616978,6616960:6618171,6616966:6617467,6616967:6617840,6618310:6618951,6620036:6620513,6620039:6621389,6620042:6620986,6620404:6621143,6620441:6621444,6620445:6621171,6620446:6621532,6620449:6621120,6621639:6622660,6621642:6622747,6621645:6622526,6621650:6622375,6621652:6622434,6621655:6622164,6621656:6622103,6621661:6622319,6625901:6626370,6626270:6626972,6626272:6627003,6626275:6627196,6627097:6627833,6627099:6628017,6627946:6628555,6627948:6628622,6628988:6629355,6628991:6629386,6630847:6635944,', 'assoc_mat': '6600535:papier:3327:6601256,6600537:papier:3327:6601698,6600543:papier:3327:6601213,6600545:papier:3327:6601373,6600547:papier:3327:6601553,6600550:papier:3327:6601785,6600553:papier:3327:6601317,6601140:papier:3327:6602306,6601199:papier:3327:6601845,6602727:papier:3327:6603848,6602729:papier:3327:6603983,6602732:papier:3327:6603618,6604400:papier:3327:6604941,6604702:papier:3327:6606355,6605500:papier:3327:6606282,6605502:papier:3327:6607130,6606682:papier:3327:6608325,6606685:papier:3327:6607894,6606687:papier:3327:6607397,6607836:papier:3327:6608588,6607838:papier:3327:6608678,6608144:papier:3327:6608962,6609197:papier:3327:6610050,6609198:papier:3327:6609907,6609963:papier:3327:6610277,6610497:papier:3327:6611080,6610499:papier:3327:6610916,6612953:papier:3327:6613729,6613333:papier:3327:6614150,6614966:papier:3327:6616196,6614968:papier:3327:6616066,6615360:papier:3327:6615896,6616171:papier:3327:6616978,6616960:papier:3327:6618171,6616966:papier:3327:6617467,6616967:papier:3327:6617840,6618310:papier:3'}, {'unwanted_material': 'papier', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.017125275841086585, 'nb_photo': 2971, 'list_port_cont': '6600926,6602063,6604875,6606104,6609174,6613071,6615626,6618500,6620184,6620854,6621908,6626783,6628360,6634243,6635396,6637073,6637446,6638360,6639247,6641571,6646008,6647325,6649284,6649479,6649902,6653435,6654683,6655706,6658468,6662396,6665198,6669579,6670065,6672619,6674516,6683662,6684471,6686799,6687236,6687458,6696447,6696824,6698461,6711553,6712279,6712781,6714496,6717599,6719829,6720164,6720215,6720241,6720368,6721253,6722530,6724154,6739279,6740796,6745518,6745791,6750249,6754202,6754551,6759426,6765269,6766705,6767366,6780400,6780521,6780722,6784029,6786845,6788639,6791340,6793690,6795542,6797664,6813924,6817658,6821374,6824105,6835188,6836541,6840208,6842437,6849226,6851792,6852378,6854525,6859024,6862734,6865779,6866332,6867973,6869258,6874411,6875759,6875982,6882729,6886818,6888094,6889509,6895296,6902512,6904831,6914440,6920757,6921627,6924261', 'assoc_port': '6600538:6600926,6601136:6602063,6604397:6604875,6605689:6606104,6608145:6609174,6612632:6613071,6615365:6615626,6618309:6618500,6620043:6620184,6620439:6620854,6621653:6621908,6626271:6626783,6627944:6628360,6630848:6646008,6631070:6649284,6631186:6634243,6631194:6649902,6631961:6655706,6632583:6662396,6632786:6635396,6632966:6670065,6635673:6637446,6635681:6637073,6637843:6638360,6638774:6639247,6641286:6641571,6646447:6647325,6648940:6649479,6650951:6653435,6654041:6654683,6657889:6658468,6664429:6665198,6668950:6669579,6671809:6672619,6673895:6674516,6681680:6683662,6683618:6684471,6685440:6720368,6685511:6720215,6686027:6719829,6686041:6720164,6686295:6687458,6686312:6687236,6686325:6686799,6688871:6714496,6690894:6698461,6693641:6696447,6696476:6696824,6710860:6711553,6711680:6712279,6712324:6712781,6716688:6717599,6718843:6720241,6720803:6721253,6722354:6722530,6723892:6724154,6738748:6739279,6740018:6740796,6740709:6745518,6744268:6745791,6748062:6750249,6753406:6754551,6753419:6754202,6759057:6759426,', 'assoc_mat': '6600538:papier:4200:6600926,6601136:papier:4200:6602063,6604397:papier:4200:6604875,6605689:papier:4200:6606104,6608145:papier:4200:6609174,6612632:papier:4200:6613071,6615365:papier:4200:6615626,6618309:papier:4200:6618500,6620043:papier:4200:6620184,6620439:papier:4200:6620854,6621653:papier:4200:6621908,6626271:papier:4200:6626783,6627944:papier:4200:6628360,6630848:papier:4200:6646008,6631070:papier:4200:6649284,6631186:papier:4200:6634243,6631194:papier:4200:6649902,6631961:papier:4200:6655706,6632583:papier:4200:6662396,6632786:papier:4200:6635396,6632966:papier:4200:6670065,6635673:papier:4200:6637446,6635681:papier:4200:6637073,6637843:papier:4200:6638360,6638774:papier:4200:6639247,6641286:papier:4200:6641571,6646447:papier:4200:6647325,6648940:papier:4200:6649479,6650951:papier:4200:6653435,6654041:papier:4200:6654683,6657889:papier:4200:6658468,6664429:papier:4200:6665198,6668950:papier:4200:6669579,6671809:papier:4200:6672619,6673895:papier:4200:6674516,6681680:papier:4200:6683662,6683618:papier:4'}, {'unwanted_material': 'pehd', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0013604158722732354, 'nb_photo': 67, 'list_port_cont': '6603441,6608813,6618332,6624169,6627324,6634752,6634796,6698371,6704167,6712710,6720530,6723225,6723402,6735152,6735445,6754074,6761147,6775031,6799271,6801313,6806359,6808097,6808736,6826372,6834093,6838765,6852167,6865667,6876014,6930485,6940839,10844181', 'assoc_port': '10844025:10844181,6602731:6603441,6608146:6608813,6617603:6618332,6620405:6624169,6626721:6627324,6630937:6634752,6631483:6634796,6638160:6704167,6653521:6723225,6664117:6735445,6671808:6834093,6685476:6799271,6686304:6801313,6690887:6735152,6696473:6698371,6712332:6712710,6718634:6720530,6722813:6723402,6753416:6754074,6760133:6761147,6765566:6808736,6774410:6775031,6786466:6808097,6793236:6806359,6825858:6826372,6837012:6838765,6851650:6852167,6865559:6865667,6875674:6876014,6894306:6930485,6900378:6940839', 'assoc_mat': '10844025:pehd:4203:10844181,6602731:pehd:4203:6603441,6608146:pehd:4203:6608813,6617603:pehd:4203:6618332,6620405:pehd:4203:6624169,6626721:pehd:4203:6627324,6630937:pehd:4203:6634752,6631483:pehd:4203:6634796,6638160:pehd:4203:6704167,6653521:pehd:4203:6723225,6664117:pehd:4203:6735445,6671808:pehd:4203:6834093,6685476:pehd:4203:6799271,6686304:pehd:4203:6801313,6690887:pehd:4203:6735152,6696473:pehd:4203:6698371,6712332:pehd:4203:6712710,6718634:pehd:4203:6720530,6722813:pehd:4203:6723402,6753416:pehd:4203:6754074,6760133:pehd:4203:6761147,6765566:pehd:4203:6808736,6774410:pehd:4203:6775031,6786466:pehd:4203:6808097,6793236:pehd:4203:6806359,6825858:pehd:4203:6826372,6837012:pehd:4203:6838765,6851650:pehd:4203:6852167,6865559:pehd:4203:6865667,6875674:pehd:4203:6876014,6894306:pehd:4203:6930485,6900378:pehd:4203:6940839'}, {'unwanted_material': 'pehd', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0004041124511179276, 'nb_photo': 6, 'list_port_cont': '6618980,6620778,6655493,6669280,6711051,6751445', 'assoc_port': '6618302:6618980,6620448:6620778,6631482:6669280,6654838:6655493,6709375:6711051,6750987:6751445', 'assoc_mat': '6618302:pehd:4209:6618980,6620448:pehd:4209:6620778,6631482:pehd:4209:6669280,6654838:pehd:4209:6655493,6709375:pehd:4209:6711051,6750987:pehd:4209:6751445'}, {'unwanted_material': 'pehd', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0005712244972110796, 'nb_photo': 6, 'list_port_cont': '6869288,6869648,6922350,12108027,12108673', 'assoc_port': '12107420:12108673,12107428:12108027,6868823:6869288,6869543:6869648,6920918:6922350', 'assoc_mat': '12107420:pehd:4209:12108673,12107428:pehd:4209:12108027,6868823:pehd:4209:6869288,6869543:pehd:4209:6869648,6920918:pehd:4209:6922350'}, {'unwanted_material': 'pehd', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.07610095728061055, 'nb_photo': 1, 'list_port_cont': '6659525', 'assoc_port': '6652939:6659525', 'assoc_mat': '6652939:pehd:4207:6659525'}, {'unwanted_material': 'pehd', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.9648891206027819, 'nb_photo': 8269, 'list_port_cont': '6600597,6600702,6600852,6600891,6601022,6601052,6601428,6601500,6601604,6602281,6602444,6602601,6603006,6603409,6605890,6606075,6607690,6608072,6608288,6609448,6610185,6610407,6610605,6610648,6611149,6613701,6613906,6613939,6614041,6614531,6615390,6615428,6615558,6615799,6616519,6617435,6618606,6618771,6618913,6620221,6620341,6620928,6621057,6621666,6621699,6621790,6621962,6622001,6622037,6622126,6622206,6622461,6624054,6625571,6626612,6626650,6627283,6628486,6629182,6629248,6634392,6634439,6634652,6634721,6634852,6635131,6635834,6638285,6638453,6639157,6640992,6642047,6642713,6648978,6649961,6650055,6650160,6650275,6650956,6653710,6658507,6664051,6666446,6668093,6668166,6669619,6672027,6674019,6674406,6674558,6674637,6674764,6674895,6675069,6675098,6675131,6675486,6676018,6676531,6676620,6677123,6677226,6677805,6678033,6678221,6678316,6678581,6678659,6678689,6678763,6678928,6678955,6678997,6679159,6679231,6681253,6687144,6691496,6691661,6692281,6693207,6693677,6693893,6694000,6694040,6694208,6694413,6695519,', 'assoc_port': '10844008:10846067,10844009:10845792,10844010:10846032,10844011:10845548,10844012:10845975,10844013:10845405,10844014:10845186,10844015:10845082,10844016:10845169,10844017:10845131,10844018:10844955,10844019:10845040,10844020:10844684,10844021:10844450,12107423:12108306,12107427:12108068,12107429:12107833,6600532:6601052,6600536:6601428,6600541:6601500,6600544:6600852,6600546:6601022,6600548:6600702,6600551:6600891,6600554:6600597,6601134:6602444,6601138:6602601,6601142:6601604,6601649:6602281,6602728:6603006,6602733:6603409,6604399:6608072,6605499:6610648,6605503:6605890,6605688:6606075,6606683:6607690,6607835:6610407,6607837:6610185,6607839:6608288,6609199:6609448,6610498:6610605,6610992:6611149,6613334:6613701,6613876:6614041,6613877:6613939,6613878:6613906,6614199:6614531,6614967:6615390,6614969:6615428,6615340:6615558,6615362:6615799,6616173:6616519,6616982:6617435,6618305:6618606,6618307:6618771,6618311:6618913,6620038:6620221,6620040:6620341,6620422:6621666,6620440:6621699,6620444:6621057,6620447:662092', 'assoc_mat': '10844008:pehd:4211:10846067,10844009:pehd:4211:10845792,10844010:pehd:4211:10846032,10844011:pehd:4211:10845548,10844012:pehd:4211:10845975,10844013:pehd:4211:10845405,10844014:pehd:4211:10845186,10844015:pehd:4211:10845082,10844016:pehd:4211:10845169,10844017:pehd:4211:10845131,10844018:pehd:4211:10844955,10844019:pehd:4211:10845040,10844020:pehd:4211:10844684,10844021:pehd:4211:10844450,12107423:pehd:4211:12108306,12107427:pehd:4211:12108068,12107429:pehd:4211:12107833,6600532:pehd:4211:6601052,6600536:pehd:4211:6601428,6600541:pehd:4211:6601500,6600544:pehd:4211:6600852,6600546:pehd:4211:6601022,6600548:pehd:4211:6600702,6600551:pehd:4211:6600891,6600554:pehd:4211:6600597,6601134:pehd:4211:6602444,6601138:pehd:4211:6602601,6601142:pehd:4211:6601604,6601649:pehd:4211:6602281,6602728:pehd:4211:6603006,6602733:pehd:4211:6603409,6604399:pehd:4211:6608072,6605499:pehd:4211:6610648,6605503:pehd:4211:6605890,6605688:pehd:4211:6606075,6606683:pehd:4211:6607690,6607835:pehd:4211:6610407,6607837:pehd:4211:6610185,66'}, {'unwanted_material': 'pehd', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0019293084660709505, 'nb_photo': 273, 'list_port_cont': '6601307,6601555,6601786,6602308,6603607,6603836,6604931,6606273,6606378,6607134,6607399,6607896,6608317,6608582,6609917,6610054,6610919,6611086,6613723,6616969,6621109,6621147,6621175,6621381,6621443,6622372,6622653,6622754,6626366,6626981,6628626,6629353,6629393,6635973,6636120,6636144,6636682,6637052,6637758,6638416,6638593,6638979,6639653,6639753,6639840,6639973,6640752,6640773,6640962,6641208,6641482,6641513,6641943,6642092,6643483,6643627,6643714,6643896,6645157,6645307,6645764,6648008,6648357,6648811,6649737,6652023,6652944,6654490,6655049,6656662,6657953,6663978,6670191,6671021,6672471,6673060,6674484,6675451,6675589,6676584,6681848,6682438,6684388,6686711,6687374,6687704,6688265,6689126,6689282,6689505,6690578,6690632,6692194,6692352,6692541,6692686,6693519,6694785,6696037,6697044,6697601,6697680,6698233,6698691,6698892,6698922,6699065,6710963,6711527,6712030,6712064,6712351,6712522,6712805,6712843,6713118,6713310,6717346,6720929,6721463,6723979,6724042,6725337,6725396,6727508,6740875,6741549,6742203,', 'assoc_port': '6600547:6601555,6600550:6601786,6600553:6601307,6601140:6602308,6602727:6603836,6602732:6603607,6604400:6604931,6604702:6606378,6605500:6606273,6605502:6607134,6606682:6608317,6606685:6607896,6606687:6607399,6607836:6608582,6609197:6610054,6609198:6609917,6610497:6611086,6610499:6610919,6612953:6613723,6616171:6616969,6620039:6621381,6620404:6621147,6620441:6621443,6620445:6621175,6620449:6621109,6621639:6622653,6621642:6622754,6621650:6622372,6625901:6626366,6626270:6626981,6627948:6628626,6628988:6629353,6628991:6629393,6630851:6635973,6630853:6636682,6630934:6637758,6631071:6638979,6631073:6639653,6631075:6639973,6631486:6641482,6631488:6640752,6631490:6640773,6631493:6640962,6631964:6642092,6631965:6641513,6632579:6645157,6632584:6645764,6632662:6643483,6632711:6643714,6632713:6648811,6632876:6643896,6632968:6645307,6633861:6637052,6635680:6636144,6635684:6636120,6637842:6638593,6637844:6638416,6638772:6639840,6638775:6639753,6640591:6641208,6641288:6643627,6641292:6641943,6646445:6648008,6647213:6648357,', 'assoc_mat': '6600547:pehd:3327:6601555,6600550:pehd:3327:6601786,6600553:pehd:3327:6601307,6601140:pehd:3327:6602308,6602727:pehd:3327:6603836,6602732:pehd:3327:6603607,6604400:pehd:3327:6604931,6604702:pehd:3327:6606378,6605500:pehd:3327:6606273,6605502:pehd:3327:6607134,6606682:pehd:3327:6608317,6606685:pehd:3327:6607896,6606687:pehd:3327:6607399,6607836:pehd:3327:6608582,6609197:pehd:3327:6610054,6609198:pehd:3327:6609917,6610497:pehd:3327:6611086,6610499:pehd:3327:6610919,6612953:pehd:3327:6613723,6616171:pehd:3327:6616969,6620039:pehd:3327:6621381,6620404:pehd:3327:6621147,6620441:pehd:3327:6621443,6620445:pehd:3327:6621175,6620449:pehd:3327:6621109,6621639:pehd:3327:6622653,6621642:pehd:3327:6622754,6621650:pehd:3327:6622372,6625901:pehd:3327:6626366,6626270:pehd:3327:6626981,6627948:pehd:3327:6628626,6628988:pehd:3327:6629353,6628991:pehd:3327:6629393,6630851:pehd:3327:6635973,6630853:pehd:3327:6636682,6630934:pehd:3327:6637758,6631071:pehd:3327:6638979,6631073:pehd:3327:6639653,6631075:pehd:3327:6639973,6631486:pe'}, {'unwanted_material': 'pehd', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.0051100227990344554, 'nb_photo': 146, 'list_port_cont': '6604877,6609170,6613068,6615614,6618503,6620187,6620866,6621902,6628367,6634250,6637080,6637448,6641565,6653431,6654691,6655698,6658465,6662390,6665200,6669580,6670050,6672621,6674514,6683659,6684464,6687228,6696451,6698464,6711561,6712283,6712785,6714507,6717609,6719826,6720245,6720364,6721249,6740804,6745511,6745786,6750247,6754189,6754553,6759422,6765273,6766697,6780403,6780526,6780710,6786856,6788637,6791338,6793691,6795538,6797665,6821369,6824092,6842448,6849223,6851780,6852369,6854529,6859027,6862725,6866337,6867970,6869263,6875756,6882722,6888109,6895287,6902508,6914447,6920759,6921629,6924255', 'assoc_port': '6604397:6604877,6608145:6609170,6612632:6613068,6615365:6615614,6618309:6618503,6620043:6620187,6620439:6620866,6621653:6621902,6627944:6628367,6631186:6634250,6631961:6655698,6632583:6662390,6632966:6670050,6635673:6637448,6635681:6637080,6641286:6641565,6650951:6653431,6654041:6654691,6657889:6658465,6664429:6665200,6668950:6669580,6671809:6672621,6673895:6674514,6681680:6683659,6683618:6684464,6685440:6720364,6686027:6719826,6686312:6687228,6688871:6714507,6690894:6698464,6693641:6696451,6710860:6711561,6711680:6712283,6712324:6712785,6716688:6717609,6718843:6720245,6720803:6721249,6740018:6740804,6740709:6745511,6744268:6745786,6748062:6750247,6753406:6754553,6753419:6754189,6759057:6759422,6764848:6765273,6765563:6766697,6779960:6780710,6779977:6780526,6780017:6780403,6786463:6786856,6787690:6788637,6790918:6791338,6793238:6793691,6795258:6795538,6797266:6797665,6820776:6821369,6823753:6824092,6842061:6842448,6848832:6849223,6850353:6851780,6852123:6852369,6854184:6854529,6858797:6859027,6862270:6862725,', 'assoc_mat': '6604397:pehd:4200:6604877,6608145:pehd:4200:6609170,6612632:pehd:4200:6613068,6615365:pehd:4200:6615614,6618309:pehd:4200:6618503,6620043:pehd:4200:6620187,6620439:pehd:4200:6620866,6621653:pehd:4200:6621902,6627944:pehd:4200:6628367,6631186:pehd:4200:6634250,6631961:pehd:4200:6655698,6632583:pehd:4200:6662390,6632966:pehd:4200:6670050,6635673:pehd:4200:6637448,6635681:pehd:4200:6637080,6641286:pehd:4200:6641565,6650951:pehd:4200:6653431,6654041:pehd:4200:6654691,6657889:pehd:4200:6658465,6664429:pehd:4200:6665200,6668950:pehd:4200:6669580,6671809:pehd:4200:6672621,6673895:pehd:4200:6674514,6681680:pehd:4200:6683659,6683618:pehd:4200:6684464,6685440:pehd:4200:6720364,6686027:pehd:4200:6719826,6686312:pehd:4200:6687228,6688871:pehd:4200:6714507,6690894:pehd:4200:6698464,6693641:pehd:4200:6696451,6710860:pehd:4200:6711561,6711680:pehd:4200:6712283,6712324:pehd:4200:6712785,6716688:pehd:4200:6717609,6718843:pehd:4200:6720245,6720803:pehd:4200:6721249,6740018:pehd:4200:6740804,6740709:pehd:4200:6745511,6744268:pe'}, {'unwanted_material': 'pet_clair', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0005167916399878171, 'nb_photo': 10, 'list_port_cont': '6608803,6712721,6754068,6800312,6806350,6808098,6876008,6940836', 'assoc_port': '6608146:6608803,6685991:6800312,6712332:6712721,6753416:6754068,6786466:6808098,6793236:6806350,6875674:6876008,6900378:6940836', 'assoc_mat': '6608146:pet_clair:4203:6608803,6685991:pet_clair:4203:6800312,6712332:pet_clair:4203:6712721,6753416:pet_clair:4203:6754068,6786466:pet_clair:4203:6808098,6793236:pet_clair:4203:6806350,6875674:pet_clair:4203:6876008,6900378:pet_clair:4203:6940836'}, {'unwanted_material': 'pet_clair', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.002615200546649331, 'nb_photo': 21, 'list_port_cont': '6600774,6602155,6638508,6669283,6673392,6694184,6695455,6712247,6723146,6740495,6742322,6751442,6754773', 'assoc_port': '6600540:6602155,6600552:6600774,6631482:6669283,6638162:6638508,6672700:6673392,6692502:6694184,6694740:6695455,6710867:6712247,6722817:6723146,6739465:6742322,6740030:6740495,6741911:6754773,6750987:6751442', 'assoc_mat': '6600540:pet_clair:4209:6602155,6600552:pet_clair:4209:6600774,6631482:pet_clair:4209:6669283,6638162:pet_clair:4209:6638508,6672700:pet_clair:4209:6673392,6692502:pet_clair:4209:6694184,6694740:pet_clair:4209:6695455,6710867:pet_clair:4209:6712247,6722817:pet_clair:4209:6723146,6739465:pet_clair:4209:6742322,6740030:pet_clair:4209:6740495,6741911:pet_clair:4209:6754773,6750987:pet_clair:4209:6751442'}, {'unwanted_material': 'pet_clair', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0001938470394354349, 'nb_photo': 4, 'list_port_cont': '6869295,6869655,6914936,6960440', 'assoc_port': '6868823:6869295,6869543:6869655,6914405:6914936,6919131:6960440', 'assoc_mat': '6868823:pet_clair:4209:6869295,6869543:pet_clair:4209:6869655,6914405:pet_clair:4209:6914936,6919131:pet_clair:4209:6960440'}, {'unwanted_material': 'pet_clair', 'main_material': 'pcnc', 'pht_type': 4207, 'ratio': 0.0010334097253368944, 'nb_photo': 3, 'list_port_cont': '6617252,6617677,6633560', 'assoc_port': '6616962:6617252,6616964:6617677,6631478:6633560', 'assoc_mat': '6616962:pet_clair:4207:6617252,6616964:pet_clair:4207:6617677,6631478:pet_clair:4207:6633560'}, {'unwanted_material': 'pet_clair', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0015524153897367723, 'nb_photo': 1500, 'list_port_cont': '6600858,6600897,6601013,6601431,6602282,6602595,6603012,6603407,6606068,6607680,6608064,6608283,6609454,6610409,6610606,6610649,6611145,6614534,6615393,6615436,6615797,6616526,6617426,6618921,6620330,6620914,6621054,6621668,6621965,6621997,6622134,6622196,6622457,6624048,6625562,6626620,6626654,6627270,6628482,6629176,6629250,6634388,6634656,6634855,6635135,6635836,6638280,6638446,6639162,6640996,6642051,6642710,6650049,6650151,6650272,6650962,6658506,6664046,6666445,6668082,6668178,6669608,6672025,6674016,6674544,6674638,6674762,6675076,6675106,6675132,6675480,6676532,6676622,6677125,6677222,6677808,6678040,6678226,6678568,6678651,6678771,6678961,6678993,6679220,6681247,6687136,6691495,6691657,6692280,6693193,6693673,6693892,6694033,6694210,6694409,6695508,6697514,6698425,6698773,6698798,6699368,6699436,6705438,6706628,6706772,6707230,6709725,6711231,6711405,6711487,6712154,6712633,6712745,6713436,6713606,6713756,6714401,6716473,6716566,6717505,6717554,6718023,6718524,6719029,6719453,6719723,6720668,6720734,', 'assoc_port': '10844008:10846061,10844009:10845791,10844010:10846028,10844011:10845556,10844012:10845977,10844014:10845189,10844015:10845087,10844017:10845127,10844018:10844952,10844019:10845053,10844020:10844681,10844021:10844449,12107423:12108303,12107427:12108066,12107429:12107823,6600536:6601431,6600544:6600858,6600546:6601013,6600551:6600897,6601138:6602595,6601649:6602282,6602728:6603012,6602733:6603407,6604399:6608064,6605499:6610649,6605688:6606068,6606683:6607680,6607835:6610409,6607839:6608283,6609199:6609454,6610498:6610606,6610992:6611145,6614199:6614534,6614967:6615393,6614969:6615436,6615362:6615797,6616173:6616526,6616982:6617426,6618311:6618921,6620040:6620330,6620422:6621668,6620444:6621054,6620447:6620914,6621638:6624048,6621643:6622457,6621647:6622196,6621651:6622134,6621654:6621965,6621659:6621997,6625236:6625562,6626268:6626620,6626274:6626654,6627098:6627270,6627945:6628482,6628987:6629176,6628989:6629250,6630850:6634855,6630852:6674016,6630856:6634656,6630932:6674638,6630935:6674762,6630939:6675106,66', 'assoc_mat': '10844008:pet_clair:4211:10846061,10844009:pet_clair:4211:10845791,10844010:pet_clair:4211:10846028,10844011:pet_clair:4211:10845556,10844012:pet_clair:4211:10845977,10844014:pet_clair:4211:10845189,10844015:pet_clair:4211:10845087,10844017:pet_clair:4211:10845127,10844018:pet_clair:4211:10844952,10844019:pet_clair:4211:10845053,10844020:pet_clair:4211:10844681,10844021:pet_clair:4211:10844449,12107423:pet_clair:4211:12108303,12107427:pet_clair:4211:12108066,12107429:pet_clair:4211:12107823,6600536:pet_clair:4211:6601431,6600544:pet_clair:4211:6600858,6600546:pet_clair:4211:6601013,6600551:pet_clair:4211:6600897,6601138:pet_clair:4211:6602595,6601649:pet_clair:4211:6602282,6602728:pet_clair:4211:6603012,6602733:pet_clair:4211:6603407,6604399:pet_clair:4211:6608064,6605499:pet_clair:4211:6610649,6605688:pet_clair:4211:6606068,6606683:pet_clair:4211:6607680,6607835:pet_clair:4211:6610409,6607839:pet_clair:4211:6608283,6609199:pet_clair:4211:6609454,6610498:pet_clair:4211:6610606,6610992:pet_clair:4211:6611145,66'}, {'unwanted_material': 'pet_clair', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.9599310617320319, 'nb_photo': 267351, 'list_port_cont': '6601210,6601259,6601315,6601372,6601561,6601699,6601793,6601843,6602315,6603612,6603846,6603988,6604935,6606277,6606379,6607135,6607387,6607887,6608320,6608594,6608685,6608963,6609915,6610051,6610272,6610908,6611079,6613731,6614159,6615900,6616061,6616197,6616980,6617460,6617848,6618172,6618946,6620507,6620990,6621111,6621145,6621178,6621380,6621448,6621534,6622108,6622166,6622320,6622376,6622431,6622522,6622656,6622746,6626362,6626970,6627008,6627198,6627829,6628015,6628553,6628621,6629351,6629395,6635805,6635872,6635894,6635946,6635979,6636038,6636114,6636146,6636284,6636327,6636427,6636595,6636676,6636732,6636800,6637047,6637357,6637676,6637709,6637759,6637850,6637946,6637981,6638089,6638412,6638604,6638708,6638827,6638952,6638975,6639189,6639290,6639357,6639644,6639751,6639842,6639900,6639967,6640118,6640724,6640748,6640771,6640953,6641215,6641298,6641330,6641481,6641511,6641662,6641812,6641955,6642028,6642082,6642295,6643245,6643371,6643476,6643601,6643634,6643665,6643684,6643715,6643904,6644075,6644466,', 'assoc_port': '6600535:6601259,6600537:6601699,6600543:6601210,6600545:6601372,6600547:6601561,6600550:6601793,6600553:6601315,6601140:6602315,6601199:6601843,6602727:6603846,6602729:6603988,6602732:6603612,6604400:6604935,6604702:6606379,6605500:6606277,6605502:6607135,6606682:6608320,6606685:6607887,6606687:6607387,6607836:6608594,6607838:6608685,6608144:6608963,6609197:6610051,6609198:6609915,6609963:6610272,6610497:6611079,6610499:6610908,6612953:6613731,6613333:6614159,6614966:6616197,6614968:6616061,6615360:6615900,6616171:6616980,6616960:6618172,6616966:6617460,6616967:6617848,6618310:6618946,6620036:6620507,6620039:6621380,6620042:6620990,6620404:6621145,6620441:6621448,6620445:6621178,6620446:6621534,6620449:6621111,6621639:6622656,6621642:6622746,6621645:6622522,6621650:6622376,6621652:6622431,6621655:6622166,6621656:6622108,6621661:6622320,6625901:6626362,6626270:6626970,6626272:6627008,6626275:6627198,6627097:6627829,6627099:6628015,6627946:6628553,6627948:6628621,6628988:6629351,6628991:6629395,6630847:6635946,', 'assoc_mat': '6600535:pet_clair:3327:6601259,6600537:pet_clair:3327:6601699,6600543:pet_clair:3327:6601210,6600545:pet_clair:3327:6601372,6600547:pet_clair:3327:6601561,6600550:pet_clair:3327:6601793,6600553:pet_clair:3327:6601315,6601140:pet_clair:3327:6602315,6601199:pet_clair:3327:6601843,6602727:pet_clair:3327:6603846,6602729:pet_clair:3327:6603988,6602732:pet_clair:3327:6603612,6604400:pet_clair:3327:6604935,6604702:pet_clair:3327:6606379,6605500:pet_clair:3327:6606277,6605502:pet_clair:3327:6607135,6606682:pet_clair:3327:6608320,6606685:pet_clair:3327:6607887,6606687:pet_clair:3327:6607387,6607836:pet_clair:3327:6608594,6607838:pet_clair:3327:6608685,6608144:pet_clair:3327:6608963,6609197:pet_clair:3327:6610051,6609198:pet_clair:3327:6609915,6609963:pet_clair:3327:6610272,6610497:pet_clair:3327:6611079,6610499:pet_clair:3327:6610908,6612953:pet_clair:3327:6613731,6613333:pet_clair:3327:6614159,6614966:pet_clair:3327:6616197,6614968:pet_clair:3327:6616061,6615360:pet_clair:3327:6615900,6616171:pet_clair:3327:6616980,6'}, {'unwanted_material': 'pet_clair', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.013850132418607056, 'nb_photo': 729, 'list_port_cont': '6600932,6602056,6604868,6606116,6609176,6613074,6615622,6618504,6620175,6620851,6621896,6626788,6628359,6634256,6635400,6637083,6637447,6638371,6639240,6641570,6646011,6647331,6649288,6649483,6649916,6653442,6654690,6655705,6658463,6662388,6665196,6669581,6670064,6672613,6674519,6683665,6684474,6686801,6687235,6687462,6696450,6696819,6698459,6711564,6712276,6712777,6714501,6717602,6719815,6720155,6720212,6720236,6720365,6721245,6722531,6724155,6739274,6740798,6745510,6745796,6750242,6754194,6754554,6759416,6765275,6766695,6767363,6780396,6780522,6780718,6784027,6786850,6788647,6791335,6793696,6795535,6797659,6813917,6817661,6821368,6824094,6835198,6836547,6840209,6842441,6849227,6851786,6852367,6854528,6859033,6862731,6865772,6866324,6867968,6869265,6874404,6875758,6875978,6882732,6886808,6888105,6889504,6895291,6900326,6902507,6904839,6914449,6920746,6921620,6924256', 'assoc_port': '6600538:6600932,6601136:6602056,6604397:6604868,6605689:6606116,6608145:6609176,6612632:6613074,6615365:6615622,6618309:6618504,6620043:6620175,6620439:6620851,6621653:6621896,6626271:6626788,6627944:6628359,6630848:6646011,6631070:6649288,6631186:6634256,6631194:6649916,6631961:6655705,6632583:6662388,6632786:6635400,6632966:6670064,6635673:6637447,6635681:6637083,6637843:6638371,6638774:6639240,6641286:6641570,6646447:6647331,6648940:6649483,6650951:6653442,6654041:6654690,6657889:6658463,6664429:6665196,6668950:6669581,6671809:6672613,6673895:6674519,6681680:6683665,6683618:6684474,6685440:6720365,6685511:6720212,6686027:6719815,6686041:6720155,6686295:6687462,6686312:6687235,6686325:6686801,6688871:6714501,6690894:6698459,6693641:6696450,6696476:6696819,6710860:6711564,6711680:6712276,6712324:6712777,6716688:6717602,6718843:6720236,6720803:6721245,6722354:6722531,6723892:6724155,6738748:6739274,6740018:6740798,6740709:6745510,6744268:6745796,6748062:6750242,6753406:6754554,6753419:6754194,6759057:6759416,', 'assoc_mat': '6600538:pet_clair:4200:6600932,6601136:pet_clair:4200:6602056,6604397:pet_clair:4200:6604868,6605689:pet_clair:4200:6606116,6608145:pet_clair:4200:6609176,6612632:pet_clair:4200:6613074,6615365:pet_clair:4200:6615622,6618309:pet_clair:4200:6618504,6620043:pet_clair:4200:6620175,6620439:pet_clair:4200:6620851,6621653:pet_clair:4200:6621896,6626271:pet_clair:4200:6626788,6627944:pet_clair:4200:6628359,6630848:pet_clair:4200:6646011,6631070:pet_clair:4200:6649288,6631186:pet_clair:4200:6634256,6631194:pet_clair:4200:6649916,6631961:pet_clair:4200:6655705,6632583:pet_clair:4200:6662388,6632786:pet_clair:4200:6635400,6632966:pet_clair:4200:6670064,6635673:pet_clair:4200:6637447,6635681:pet_clair:4200:6637083,6637843:pet_clair:4200:6638371,6638774:pet_clair:4200:6639240,6641286:pet_clair:4200:6641570,6646447:pet_clair:4200:6647331,6648940:pet_clair:4200:6649483,6650951:pet_clair:4200:6653442,6654041:pet_clair:4200:6654690,6657889:pet_clair:4200:6658463,6664429:pet_clair:4200:6665196,6668950:pet_clair:4200:6669581,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.00022092315643821876, 'nb_photo': 2, 'list_port_cont': '6712712,6806360', 'assoc_port': '6712332:6712712,6793236:6806360', 'assoc_mat': '6712332:pet_fonce:4203:6712712,6793236:pet_fonce:4203:6806360'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0003846699616495868, 'nb_photo': 87, 'list_port_cont': '6600861,6603394,6607677,6615422,6622000,6622197,6624062,6627276,6628479,6629185,6634858,6635145,6672029,6674545,6675144,6675478,6677810,6678775,6691486,6694039,6698430,6699376,6699426,6707232,6719024,6720655,6721843,6723783,6724752,6724915,6725834,6730262,6732433,6741928,6743868,6751578,6751686,6754292,6756063,6768401,6769194,6775051,6780889,6782985,6783127,6789494,6789900,6792092,6794401,6795573,6800465,6800534,6800819,6801501,6808800,6808842,6835780,6855452,6869892,6885665,6917719,6920225,6922977,10844443', 'assoc_port': '10844021:10844443,6600544:6600861,6602733:6603394,6606683:6607677,6614969:6615422,6621638:6624062,6621647:6622197,6621659:6622000,6627098:6627276,6627945:6628479,6628987:6629185,6630850:6634858,6631069:6675478,6631193:6635145,6631960:6677810,6632714:6678775,6635676:6694039,6640592:6707232,6647212:6719024,6651292:6721843,6654038:6724915,6654837:6725834,6668952:6751578,6671805:6756063,6671810:6672029,6673889:6674545,6674723:6675144,6683614:6789900,6683620:6691486,6686021:6855452,6686031:6800465,6686094:6800534,6686298:6800819,6686318:6801501,6688870:6732433,6690893:6730262,6694730:6699426,6696471:6699376,6696477:6698430,6720298:6720655,6723498:6723783,6724591:6724752,6741314:6741928,6743337:6743868,6750985:6751686,6753415:6754292,6764851:6808842,6765559:6808800,6767894:6768401,6768944:6769194,6773721:6775051,6780010:6780889,6782241:6782985,6782244:6783127,6788947:6789494,6791774:6792092,6793940:6794401,6795260:6795573,6833511:6869892,6835299:6835780,6885269:6885665,6916370:6917719,6919132:6920225,6920914:692297', 'assoc_mat': '10844021:pet_fonce:4211:10844443,6600544:pet_fonce:4211:6600861,6602733:pet_fonce:4211:6603394,6606683:pet_fonce:4211:6607677,6614969:pet_fonce:4211:6615422,6621638:pet_fonce:4211:6624062,6621647:pet_fonce:4211:6622197,6621659:pet_fonce:4211:6622000,6627098:pet_fonce:4211:6627276,6627945:pet_fonce:4211:6628479,6628987:pet_fonce:4211:6629185,6630850:pet_fonce:4211:6634858,6631069:pet_fonce:4211:6675478,6631193:pet_fonce:4211:6635145,6631960:pet_fonce:4211:6677810,6632714:pet_fonce:4211:6678775,6635676:pet_fonce:4211:6694039,6640592:pet_fonce:4211:6707232,6647212:pet_fonce:4211:6719024,6651292:pet_fonce:4211:6721843,6654038:pet_fonce:4211:6724915,6654837:pet_fonce:4211:6725834,6668952:pet_fonce:4211:6751578,6671805:pet_fonce:4211:6756063,6671810:pet_fonce:4211:6672029,6673889:pet_fonce:4211:6674545,6674723:pet_fonce:4211:6675144,6683614:pet_fonce:4211:6789900,6683620:pet_fonce:4211:6691486,6686021:pet_fonce:4211:6855452,6686031:pet_fonce:4211:6800465,6686094:pet_fonce:4211:6800534,6686298:pet_fonce:4211:6800819'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0027937857287839945, 'nb_photo': 263, 'list_port_cont': '6601312,6601378,6602302,6604937,6607386,6607897,6609918,6610056,6614156,6616198,6617469,6618949,6621166,6621524,6622171,6622318,6622432,6622523,6627007,6627194,6628022,6628558,6628620,6629360,6629385,6635890,6636150,6636335,6637041,6637956,6638951,6639300,6639360,6639649,6639843,6639963,6640116,6641206,6641660,6642031,6642088,6643666,6643686,6644074,6645311,6645758,6647413,6648013,6648348,6651389,6651678,6652033,6652947,6653022,6654605,6655887,6658048,6659096,6660216,6665644,6665949,6668610,6672473,6673067,6674828,6675455,6682558,6684379,6686720,6687693,6687751,6688499,6688987,6689537,6689587,6689850,6690097,6690214,6690635,6692361,6692530,6692691,6693861,6694779,6695712,6696111,6697041,6697340,6697715,6697768,6697941,6698112,6698730,6698987,6711529,6712340,6712870,6713125,6713218,6713281,6719368,6721992,6722018,6722072,6722229,6723374,6723733,6724035,6725340,6740139,6740418,6742670,6743702,6744133,6748415,6748972,6749009,6749528,6750026,6751763,6754264,6754530,6758447,6759452,6760150,6760421,6765840,6766308,', 'assoc_port': '6600545:6601378,6600553:6601312,6601140:6602302,6604400:6604937,6606685:6607897,6606687:6607386,6609197:6610056,6609198:6609918,6613333:6614156,6614966:6616198,6616966:6617469,6618310:6618949,6620445:6621166,6620446:6621524,6621645:6622523,6621652:6622432,6621655:6622171,6621661:6622318,6626272:6627007,6626275:6627194,6627099:6628022,6627946:6628558,6627948:6628620,6628988:6629360,6628991:6629385,6631066:6641660,6631073:6639649,6631075:6639963,6631076:6639360,6631185:6638951,6631476:6640116,6631964:6642088,6632584:6645758,6632785:6635890,6632788:6643666,6632880:6636335,6632882:6644074,6632968:6645311,6633861:6637041,6635680:6636150,6637237:6637956,6637846:6639300,6638772:6639843,6640591:6641206,6640596:6643686,6641258:6642031,6646445:6648013,6646448:6647413,6647213:6648348,6649832:6652033,6650508:6651389,6650511:6651678,6650952:6652947,6652019:6653022,6653519:6654605,6654835:6655887,6654836:6659096,6656899:6658048,6657892:6660216,6664425:6665644,6664427:6665949,6667559:6668610,6671807:6672473,6671811:6673067,', 'assoc_mat': '6600545:pet_fonce:3327:6601378,6600553:pet_fonce:3327:6601312,6601140:pet_fonce:3327:6602302,6604400:pet_fonce:3327:6604937,6606685:pet_fonce:3327:6607897,6606687:pet_fonce:3327:6607386,6609197:pet_fonce:3327:6610056,6609198:pet_fonce:3327:6609918,6613333:pet_fonce:3327:6614156,6614966:pet_fonce:3327:6616198,6616966:pet_fonce:3327:6617469,6618310:pet_fonce:3327:6618949,6620445:pet_fonce:3327:6621166,6620446:pet_fonce:3327:6621524,6621645:pet_fonce:3327:6622523,6621652:pet_fonce:3327:6622432,6621655:pet_fonce:3327:6622171,6621661:pet_fonce:3327:6622318,6626272:pet_fonce:3327:6627007,6626275:pet_fonce:3327:6627194,6627099:pet_fonce:3327:6628022,6627946:pet_fonce:3327:6628558,6627948:pet_fonce:3327:6628620,6628988:pet_fonce:3327:6629360,6628991:pet_fonce:3327:6629385,6631066:pet_fonce:3327:6641660,6631073:pet_fonce:3327:6639649,6631075:pet_fonce:3327:6639963,6631076:pet_fonce:3327:6639360,6631185:pet_fonce:3327:6638951,6631476:pet_fonce:3327:6640116,6631964:pet_fonce:3327:6642088,6632584:pet_fonce:3327:6645758,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9433959349191054, 'nb_photo': 1865, 'list_port_cont': '6600921,6602052,6604879,6606107,6609173,6613064,6615625,6618497,6620185,6620862,6621905,6626786,6628358,6634244,6635391,6637070,6637445,6638364,6639248,6641566,6646009,6647335,6649279,6649476,6649915,6653441,6654686,6655703,6658466,6662391,6665191,6669589,6670061,6672609,6674517,6683670,6684465,6686804,6687227,6687466,6696439,6696818,6698462,6711554,6712271,6712775,6714495,6717596,6719814,6720150,6720211,6720250,6720367,6721247,6722527,6724149,6739286,6740801,6745519,6745787,6750252,6754190,6754558,6759425,6765276,6766699,6767360,6780401,6780523,6780723,6784025,6786849,6788646,6791336,6793695,6795539,6797667,6813921,6817652,6821383,6824097,6835196,6836551,6840207,6842434,6849224,6851782,6852366,6854523,6859029,6862727,6865773,6866335,6867976,6869266,6874407,6875753,6875975,6882723,6886803,6888103,6889495,6895281,6900334,6902509,6904835,6914448,6920755,6921623,6924260', 'assoc_port': '6600538:6600921,6601136:6602052,6604397:6604879,6605689:6606107,6608145:6609173,6612632:6613064,6615365:6615625,6618309:6618497,6620043:6620185,6620439:6620862,6621653:6621905,6626271:6626786,6627944:6628358,6630848:6646009,6631070:6649279,6631186:6634244,6631194:6649915,6631961:6655703,6632583:6662391,6632786:6635391,6632966:6670061,6635673:6637445,6635681:6637070,6637843:6638364,6638774:6639248,6641286:6641566,6646447:6647335,6648940:6649476,6650951:6653441,6654041:6654686,6657889:6658466,6664429:6665191,6668950:6669589,6671809:6672609,6673895:6674517,6681680:6683670,6683618:6684465,6685440:6720367,6685511:6720211,6686027:6719814,6686041:6720150,6686295:6687466,6686312:6687227,6686325:6686804,6688871:6714495,6690894:6698462,6693641:6696439,6696476:6696818,6710860:6711554,6711680:6712271,6712324:6712775,6716688:6717596,6718843:6720250,6720803:6721247,6722354:6722527,6723892:6724149,6738748:6739286,6740018:6740801,6740709:6745519,6744268:6745787,6748062:6750252,6753406:6754558,6753419:6754190,6759057:6759425,', 'assoc_mat': '6600538:pet_fonce:4200:6600921,6601136:pet_fonce:4200:6602052,6604397:pet_fonce:4200:6604879,6605689:pet_fonce:4200:6606107,6608145:pet_fonce:4200:6609173,6612632:pet_fonce:4200:6613064,6615365:pet_fonce:4200:6615625,6618309:pet_fonce:4200:6618497,6620043:pet_fonce:4200:6620185,6620439:pet_fonce:4200:6620862,6621653:pet_fonce:4200:6621905,6626271:pet_fonce:4200:6626786,6627944:pet_fonce:4200:6628358,6630848:pet_fonce:4200:6646009,6631070:pet_fonce:4200:6649279,6631186:pet_fonce:4200:6634244,6631194:pet_fonce:4200:6649915,6631961:pet_fonce:4200:6655703,6632583:pet_fonce:4200:6662391,6632786:pet_fonce:4200:6635391,6632966:pet_fonce:4200:6670061,6635673:pet_fonce:4200:6637445,6635681:pet_fonce:4200:6637070,6637843:pet_fonce:4200:6638364,6638774:pet_fonce:4200:6639248,6641286:pet_fonce:4200:6641566,6646447:pet_fonce:4200:6647335,6648940:pet_fonce:4200:6649476,6650951:pet_fonce:4200:6653441,6654041:pet_fonce:4200:6654686,6657889:pet_fonce:4200:6658466,6664429:pet_fonce:4200:6665191,6668950:pet_fonce:4200:6669589,6'}, {'unwanted_material': 'pet_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0009264502462378221, 'nb_photo': 9, 'list_port_cont': '6608814,6660097,6712722,6735145,6799275,6808109,6869931', 'assoc_port': '6608146:6608814,6632879:6660097,6685476:6799275,6690887:6735145,6712332:6712722,6786466:6808109,6869544:6869931', 'assoc_mat': '6608146:pet_opaque:4203:6608814,6632879:pet_opaque:4203:6660097,6685476:pet_opaque:4203:6799275,6690887:pet_opaque:4203:6735145,6712332:pet_opaque:4203:6712722,6786466:pet_opaque:4203:6808109,6869544:pet_opaque:4203:6869931'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007255625347838711, 'nb_photo': 19, 'list_port_cont': '6616740,6617521,6620419,6621938,6627043,6638500,6668139,6668209,6670564,6670896,6678093,6740485,6791207', 'assoc_port': '6616168:6616740,6616963:6617521,6620037:6620419,6621646:6621938,6626722:6627043,6631190:6668139,6631196:6668209,6632661:6670564,6632883:6670896,6638162:6638500,6677866:6678093,6740030:6740485,6790915:6791207', 'assoc_mat': '6616168:pet_opaque:4209:6616740,6616963:pet_opaque:4209:6617521,6620037:pet_opaque:4209:6620419,6621646:pet_opaque:4209:6621938,6626722:pet_opaque:4209:6627043,6631190:pet_opaque:4209:6668139,6631196:pet_opaque:4209:6668209,6632661:pet_opaque:4209:6670564,6632883:pet_opaque:4209:6670896,6638162:pet_opaque:4209:6638500,6677866:pet_opaque:4209:6678093,6740030:pet_opaque:4209:6740485,6790915:pet_opaque:4209:6791207'}, {'unwanted_material': 'pet_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0016345171833525593, 'nb_photo': 222, 'list_port_cont': '6600901,6602283,6603013,6606069,6608294,6610401,6610657,6611146,6614528,6615400,6621062,6621675,6621998,6622129,6622205,6626613,6629184,6629244,6634651,6635837,6638286,6639164,6650157,6668179,6669616,6672038,6674023,6674634,6674773,6675099,6675136,6677119,6677811,6678215,6678578,6678957,6679224,6681250,6691510,6691659,6693900,6694213,6694417,6698434,6698768,6698799,6699430,6711411,6711493,6712146,6712497,6712754,6713439,6716561,6717501,6717546,6718028,6719452,6720657,6720722,6724914,6725690,6725833,6728841,6729870,6730329,6730727,6731863,6732437,6735376,6738126,6740205,6740607,6741938,6743382,6745286,6751579,6751673,6754142,6754990,6755968,6756060,6756975,6762171,6763524,6767274,6768410,6773018,6774679,6775056,6778932,6780264,6780486,6783061,6791499,6793831,6794248,6794400,6795572,6796823,6799103,6799441,6799779,6800492,6800530,6801272,6801402,6806174,6808133,6808682,6808713,6808832,6808873,6809086,6810005,6815419,6822330,6839899,6842610,6853846,6855228,6855448,6863478,6866679,6869888,6870654,6875922,6890225,', 'assoc_port': '10844011:10845551,10844021:10844440,6600551:6600901,6601649:6602283,6602728:6603013,6605499:6610657,6605688:6606069,6607835:6610401,6607839:6608294,6610992:6611146,6614199:6614528,6614967:6615400,6620422:6621675,6620444:6621062,6621647:6622205,6621651:6622129,6621659:6621998,6626268:6626613,6628987:6629184,6628989:6629244,6630852:6674023,6630856:6634651,6630932:6674634,6630935:6674773,6630939:6675099,6631489:6677119,6631960:6677811,6632585:6678215,6632660:6678578,6632877:6678957,6632963:6679224,6633862:6635837,6635671:6693900,6635682:6694213,6637236:6698768,6637845:6638286,6638776:6639164,6640595:6806174,6647215:6717546,6648944:6650157,6653523:6725690,6654038:6724914,6654837:6725833,6655426:6728841,6656895:6729870,6657891:6731863,6666361:6668179,6668952:6751579,6668953:6669616,6671805:6756060,6671810:6672038,6672701:6755968,6674723:6675136,6681005:6681250,6683620:6691510,6685431:6799103,6685494:6799441,6685525:6799779,6686006:6855228,6686021:6855448,6686094:6800530,6686269:6800492,6686302:6801272,6686308:6801', 'assoc_mat': '10844011:pet_opaque:4211:10845551,10844021:pet_opaque:4211:10844440,6600551:pet_opaque:4211:6600901,6601649:pet_opaque:4211:6602283,6602728:pet_opaque:4211:6603013,6605499:pet_opaque:4211:6610657,6605688:pet_opaque:4211:6606069,6607835:pet_opaque:4211:6610401,6607839:pet_opaque:4211:6608294,6610992:pet_opaque:4211:6611146,6614199:pet_opaque:4211:6614528,6614967:pet_opaque:4211:6615400,6620422:pet_opaque:4211:6621675,6620444:pet_opaque:4211:6621062,6621647:pet_opaque:4211:6622205,6621651:pet_opaque:4211:6622129,6621659:pet_opaque:4211:6621998,6626268:pet_opaque:4211:6626613,6628987:pet_opaque:4211:6629184,6628989:pet_opaque:4211:6629244,6630852:pet_opaque:4211:6674023,6630856:pet_opaque:4211:6634651,6630932:pet_opaque:4211:6674634,6630935:pet_opaque:4211:6674773,6630939:pet_opaque:4211:6675099,6631489:pet_opaque:4211:6677119,6631960:pet_opaque:4211:6677811,6632585:pet_opaque:4211:6678215,6632660:pet_opaque:4211:6678578,6632877:pet_opaque:4211:6678957,6632963:pet_opaque:4211:6679224,6633862:pet_opaque:4211:6635'}, {'unwanted_material': 'pet_opaque', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.006625372408584668, 'nb_photo': 447, 'list_port_cont': '6600927,6602060,6604867,6606114,6609165,6613073,6615618,6618507,6620186,6620865,6621897,6626785,6628362,6634254,6635389,6637069,6637443,6638357,6639233,6641563,6646016,6647330,6649289,6649475,6649908,6653440,6654682,6655700,6658472,6662384,6665186,6669577,6670052,6672606,6674518,6683671,6684478,6686802,6687225,6687464,6696442,6696817,6698458,6711562,6712277,6712786,6714508,6717607,6719819,6720158,6720206,6720247,6720358,6721243,6722532,6724146,6739282,6740800,6745521,6745789,6750245,6754191,6754564,6759415,6765265,6766702,6767358,6780406,6780528,6780714,6784016,6786843,6788645,6791330,6793704,6795548,6797668,6817665,6821371,6824096,6835190,6840200,6842443,6849228,6851781,6852374,6854530,6859022,6862735,6865768,6866326,6867982,6869259,6874403,6875763,6882730,6886804,6888096,6889498,6895283,6900338,6902503,6904834,6914452,6920753,6921628,6924247', 'assoc_port': '6600538:6600927,6601136:6602060,6604397:6604867,6605689:6606114,6608145:6609165,6612632:6613073,6615365:6615618,6618309:6618507,6620043:6620186,6620439:6620865,6621653:6621897,6626271:6626785,6627944:6628362,6630848:6646016,6631070:6649289,6631186:6634254,6631194:6649908,6631961:6655700,6632583:6662384,6632786:6635389,6632966:6670052,6635673:6637443,6635681:6637069,6637843:6638357,6638774:6639233,6641286:6641563,6646447:6647330,6648940:6649475,6650951:6653440,6654041:6654682,6657889:6658472,6664429:6665186,6668950:6669577,6671809:6672606,6673895:6674518,6681680:6683671,6683618:6684478,6685440:6720358,6685511:6720206,6686027:6719819,6686041:6720158,6686295:6687464,6686312:6687225,6686325:6686802,6688871:6714508,6690894:6698458,6693641:6696442,6696476:6696817,6710860:6711562,6711680:6712277,6712324:6712786,6716688:6717607,6718843:6720247,6720803:6721243,6722354:6722532,6723892:6724146,6738748:6739282,6740018:6740800,6740709:6745521,6744268:6745789,6748062:6750245,6753406:6754564,6753419:6754191,6759057:6759415,', 'assoc_mat': '6600538:pet_opaque:4200:6600927,6601136:pet_opaque:4200:6602060,6604397:pet_opaque:4200:6604867,6605689:pet_opaque:4200:6606114,6608145:pet_opaque:4200:6609165,6612632:pet_opaque:4200:6613073,6615365:pet_opaque:4200:6615618,6618309:pet_opaque:4200:6618507,6620043:pet_opaque:4200:6620186,6620439:pet_opaque:4200:6620865,6621653:pet_opaque:4200:6621897,6626271:pet_opaque:4200:6626785,6627944:pet_opaque:4200:6628362,6630848:pet_opaque:4200:6646016,6631070:pet_opaque:4200:6649289,6631186:pet_opaque:4200:6634254,6631194:pet_opaque:4200:6649908,6631961:pet_opaque:4200:6655700,6632583:pet_opaque:4200:6662384,6632786:pet_opaque:4200:6635389,6632966:pet_opaque:4200:6670052,6635673:pet_opaque:4200:6637443,6635681:pet_opaque:4200:6637069,6637843:pet_opaque:4200:6638357,6638774:pet_opaque:4200:6639233,6641286:pet_opaque:4200:6641563,6646447:pet_opaque:4200:6647330,6648940:pet_opaque:4200:6649475,6650951:pet_opaque:4200:6653440,6654041:pet_opaque:4200:6654682,6657889:pet_opaque:4200:6658472,6664429:pet_opaque:4200:6665186,'}, {'unwanted_material': 'textiles_sanitaires', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 5.317677982697793e-05, 'nb_photo': 1, 'list_port_cont': '6754069', 'assoc_port': '6753416:6754069', 'assoc_mat': '6753416:textiles_sanitaires:4203:6754069'}, {'unwanted_material': 'textiles_sanitaires', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.00014015295179752374, 'nb_photo': 14, 'list_port_cont': '6608063,6675111,6678967,6709734,6720656,6724749,6725824,6735649,6787860,6791503,6813248,6828520,6855445,10845973', 'assoc_port': '10844012:10845973,6604399:6608063,6630939:6675111,6632877:6678967,6654837:6725824,6663625:6735649,6686021:6855445,6709374:6709734,6720298:6720656,6724591:6724749,6787210:6787860,6790919:6791503,6812962:6813248,6814154:6828520', 'assoc_mat': '10844012:textiles_sanitaires:4211:10845973,6604399:textiles_sanitaires:4211:6608063,6630939:textiles_sanitaires:4211:6675111,6632877:textiles_sanitaires:4211:6678967,6654837:textiles_sanitaires:4211:6725824,6663625:textiles_sanitaires:4211:6735649,6686021:textiles_sanitaires:4211:6855445,6709374:textiles_sanitaires:4211:6709734,6720298:textiles_sanitaires:4211:6720656,6724591:textiles_sanitaires:4211:6724749,6787210:textiles_sanitaires:4211:6787860,6790919:textiles_sanitaires:4211:6791503,6812962:textiles_sanitaires:4211:6813248,6814154:textiles_sanitaires:4211:6828520'}), 'main_stat': {'nb_photos': 29394}}, 'hostname': (('raspi-64',),), 'impurety_average_per_hashtag': [(('emr', '2022-08', 0.03139712425437559),), (('jrm', '2022-08', 0.00838254816722681),), (('aluminium', '2022-08', 0.006832126052700646),), (('pet_fonce', '2022-08', 0.012910461966287217),), (('gm', '2022-08', 0.009116560536537937),)]}

############################### TEST csv  ################################
Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_csv
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
create_report_from_API() got an unexpected keyword argument 'outfolder'
ERROR csv FAILED
[('memo', 'SUCCESS', True), ('one_day', 'SUCCESS', True), ('get_data', 'SUCCESS', True), ('csv', 'FAILURE', False)]
 res_total : False

#&_#_#&_# TEST memo SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST one_day SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST get_data SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST csv FAILED #&_#_#&_#


#&_# TEST FAILED #&_# : prod/memo/memo #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"memo": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','sla_mensuel','memo');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"one_day": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','sla_mensuel','one_day');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"get_data": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','sla_mensuel','get_data');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"csv": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/02022025/python_test3//data_2/data_log/job/2025/February/02022025/python_test3/log-python3----short_python3--v--marlene-03:35:01.txt','sla_mensuel','csv');

#&_# END OF TEST #&_# : prod/memo/memo #&_# 




/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/../../tools/../lib/rpn/proposal_layer.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  layer_params = yaml.load(self.param_str_)
/usr/lib/python3/dist-packages/paramiko/transport.py:220: CryptographyDeprecationWarning: Blowfish has been deprecated
  "class": algorithms.Blowfish,
#######all_test_python_finish######
insert result in bdd : 
Test are not running on charlot, the path should be tested !
/data_2/data_log/job/2025/February/02022025/python_test3/output_tests_python-0350.html
new path :  /proc/2241491/
171.80user 137.45system 15:32.06elapsed 33%CPU (0avgtext+0avgdata 6323976maxresident)k
10691984inputs+941256outputs (183234major+12226063minor)pagefaults 0swaps