python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4891' -s datou_current_4891 -M 0 -S 0 -U 95,95,120
 import MySQLdb succeeded 
Import error (python version)
['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/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', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages']
process id : 2292283
load datou : 4891
# 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 !
Unexpected type for variable list_input_json
ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0)
 Tried to parse : 
None was removed should we ?
donnée sous forme de texte was removed should we ?
[ptf_id0,ptf_id1...] was removed should we ?
load thcls
load pdts
Running datou job : batch_current
 TODO datou_current to load to do maybe to take outside batchDatouExec 
no input labels
no input values
updating current state to 1
list_input_json: {}
Current got : datou_id : 4891, datou_cur_ids : ['4342732'] with mtr_portfolio_ids : ['30360684'] and first list_photo_ids : []
new path :  /proc/2292283/
Inside batchDatouExec : verbose : 0
# 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 : split_time_score
over limit max, limiting to limit_max 100
list_input_json : {}
origin
We have 1 , 
WARNING: data may be incomplete, need to offset and complete !
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
time to download the photos : 0.03735828399658203
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : 0
number of steps :  1
step1:split_time_score
Wed Feb 11 13:00:28 2026
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
begin split time score
2022-04-13 10:29:59 0
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}]
thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', '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': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
(('00', 6), ('01', 8), ('02', 5), ('03', 9), ('04', 6), ('05', 10), ('06', 8), ('07', 4), ('08', 6), ('09', 9), ('10', 95), ('11', 214), ('12', 289))
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 465}
11022026 30360684 Nombre de photos uploadées : 669 / 23040 (2%)
11022026 30360684 Nombre de photos taguées (types de déchets): 465 / 669 (69%)
11022026 30360684 Nombre de photos taguées (volume) : 465 / 669 (69%)
 elapsed_time : load_data_split_time_score 3.0994415283203125e-06
 elapsed_time : order_list_meta_photo_and_scores 0.0001971721649169922
???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.02513432502746582
Catched exception !
Connect or reconnect !
Catched exception !
Connect or reconnect !
 elapsed_time : insert_dashboard_record_day_entry 0.23847174644470215

 Creating list_photo_total 

 elapsed_time : select_descriptors 21.03916907310486
11022026 30360684 Nombre de photos avec descriptors (type 6092) : 399 / 597 (66%)
Missing descriptors for photos 0 and 1407523708
0:00:00|ON:Missing descriptors for photos 1407523708 and 1407525362
Missing descriptors for photos 1407525362 and 1407526107
Missing descriptors for photos 1407526107 and 1407526941
Missing descriptors for photos 1407526941 and 1407528746
Missing descriptors for photos 1407528746 and 1407531006
Missing descriptors for photos 1407531006 and 1407531238
Missing descriptors for photos 1407531238 and 1407532210
Missing descriptors for photos 1407532210 and 1407533243
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Missing descriptors for photos 1407533254 and 1407533879
Missing descriptors for photos 1407533879 and 1407535043
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Missing descriptors for photos 1407535745 and 1407538243
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Missing descriptors for photos 1407538253 and 1407538256
Missing descriptors for photos 1407538256 and 1407538257
Missing descriptors for photos 1407538257 and 1407539892
Missing descriptors for photos 1407539892 and 1407540199
Missing descriptors for photos 1407540199 and 1407540321
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Missing descriptors for photos 1407540353 and 1407541167
Missing descriptors for photos 1407541167 and 1407541210
Missing descriptors for photos 1407541210 and 1407543559
Missing descriptors for photos 1407543559 and 1407543601
Missing descriptors for photos 1407543601 and 1407543629
Missing descriptors for photos 1407543629 and 1407543858
Missing descriptors for photos 1407543858 and 1407543869
Missing descriptors for photos 1407543869 and 1407543880
Missing descriptors for photos 1407545476 and 1407545493
Missing descriptors for photos 1407545493 and 1407545503
Missing descriptors for photos 1407545544 and 1407545553
Missing descriptors for photos 1407545553 and 1407545563
Missing descriptors for photos 1407548564 and 1407550218
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Missing descriptors for photos 1407552533 and 1407556450
Missing descriptors for photos 1407556450 and 1407556967
Missing descriptors for photos 1407557416 and 1407557428
Missing descriptors for photos 1407557428 and 1407559055
Missing descriptors for photos 1407559055 and 1407559277
10:03:16.999046|OFF:0:00:06.001033|ON:0:00:28.999370|OFF:0:00:09.999607|ON:0:00:05.000992|OFF:0:00:06.000008|ON:Missing descriptors for photos 1407561355 and 1407561789
Missing descriptors for photos 1407561789 and 1407564714
0:55:38.999235|OFF:0:00:40.000746|ON:0:08:45.999996|OFF:0:00:29.000011|ON:0:02:49.999993|OFF:0:00:46.000010|ON:0:00:28.999040|OFF:0:00:16.000974|ON:0:21:04.999941|OFF:0:00:48.999008|ON:0:00:21.001011|OFF:0:00:48.998999|ON:0:00:31.001029|OFF:0:00:49.000001|ON:0:15:30.999994|OFF:0:00:23.998982|ON:0:00:40.001020|OFF:0:00:09.999996|ON:0:14:50.999938|OFF:0:00:03.999054|ON:0:00:00|OFF:0:00:05.001003|ON:0:00:00|OFF:0:00:04.998996|ON:0:00:00|OFF:0:00:05.000994|ON:0:00:00|OFF:0:00:04.998978|ON:0:00:00|OFF:0:00:05.001041|ON: WARNING condition_same_param while we were looking loading descriptors 
Missing descriptors for photos 1407593177 and 1407593179
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Missing descriptors for photos 1407595137 and 1407595138
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Missing descriptors for photos 1407595140 and 1407595141
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Missing descriptors for photos 1407595153 and 1407595154
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Missing descriptors for photos 1407595156 and 1407595165
Missing descriptors for photos 1407595165 and 1407595157
Missing descriptors for photos 1407595157 and 1407595168
Missing descriptors for photos 1407595168 and 1407595158
Missing descriptors for photos 1407595158 and 1407595171
Missing descriptors for photos 1407595171 and 1407595159
Missing descriptors for photos 1407595159 and 1407595172
Missing descriptors for photos 1407595172 and 1407595160
Missing descriptors for photos 1407595160 and 1407595173
Missing descriptors for photos 1407595173 and 1407595161
Missing descriptors for photos 1407595161 and 1407595174
Missing descriptors for photos 1407595174 and 1407595485
Missing descriptors for photos 1407595485 and 1407595520
Missing descriptors for photos 1407595520 and 1407595557
Missing descriptors for photos 1407595557 and 1407595589

 11022026 Removing 34 photos because of the 'same image' condition
Total on : 43474.000605
list_time_on


Total off : 362.99944100000005
list_time_off



dist_desc




begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 669
time used for this insertion : 0.1455976963043213
  photos_removed : len 34
 elapsed_time : remove_photo_duplicate 0.32228517532348633

 Creating list_photo_total 

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time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
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 elapsed_time : count_sum_diff_and_build_graph 0.13350963592529297
 Total photos : 669
.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 : 0 hashtag : 495916461   photo_id =1407543890 : jrm
.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 : 3 hashtag : 493546845   photo_id =1407545511 : aluminium
.Change port : 1 hashtag : 495916461   photo_id =1407545534 : jrm
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 1 hashtag : 492741797   photo_id =1407547881 : ela
.Change port : 1 hashtag : 495916461   photo_id =1407548132 : jrm
.can't find max_score_info
.Change port : 1 hashtag : 493546845   photo_id =1407548167 : 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
.Change port : 1 hashtag : 2107760237   photo_id =1407550269 : film_pedb
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 1 hashtag : 493546845   photo_id =1407557408 : 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
.Change port : 1 hashtag : 2107760237   photo_id =1407559288 : film_pedb
.can't find max_score_info
.Change port : 1 hashtag : 493546845   photo_id =1407561175 : 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
.Change port : 21 hashtag : 2107755846   photo_id =1407561260 : pet_clair
.....................................................can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 53 hashtag : 616987804   photo_id =1407566150 : emr
............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 : 19 hashtag : 495916461   photo_id =1407571557 : jrm
..............................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 : 64 hashtag : 493546845   photo_id =1407578851 : aluminium
.can't find max_score_info
.Change port : 1 hashtag : 2107760239   photo_id =1407580047 : pehd_pp
...............................can't find max_score_info
.Change port : 31 hashtag : 2107760237   photo_id =1407582362 : film_pedb
..........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 : 28 hashtag : 2107760239   photo_id =1407585811 : pehd_pp
................................can't find max_score_info
.Change port : 32 hashtag : 616987804   photo_id =1407587400 : emr
...........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 : 21 hashtag : 2107760239   photo_id =1407589806 : pehd_pp
..................................Change port : 34 hashtag : 2107760238   photo_id =1407592844 : flux_dev
.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 : 30 hashtag : 2107755846   photo_id =1407593148 : pet_clair
.............
 Total photos : 669
Number of lists : 22
counter photos in port : 359
 hashtag : aluminium(493546845) : 25 photos in 5 portfolios !
 hashtag : ela(492741797) : 1 photos in 1 portfolios !
 hashtag : emr(616987804) : 40 photos in 2 portfolios !
 hashtag : film_pedb(2107760237) : 30 photos in 3 portfolios !
 hashtag : flux_dev(2107760238) : 30 photos in 1 portfolios !
 hashtag : jrm(495916461) : 69 photos in 4 portfolios !
 hashtag : pcm(560181804) : 0 photos in 0 portfolios !
 hashtag : pcnc(1284539308) : 0 photos in 0 portfolios !
 hashtag : pehd_pp(2107760239) : 97 photos in 3 portfolios !
 hashtag : pet_clair(2107755846) : 67 photos in 2 portfolios !
 hashtag : refus(538914404) : 0 photos in 0 portfolios !
 hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios !
 elapsed_time : group_photo_by_moyenne_exp 0.014965057373046875
 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.384185791015625e-06
today str has not a value , we define it as the date of the first image
todaystr_first : 11022026
attention , prev_timestamp is 0 , we do nothing
*************************************************************************
BIG TIME 189.9999279975891 (212.99855303764343, 0, 0.8737682, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6297000049114225, 0.0097, 0.0019000983953475952, 1.9, 0.2179991400241851, -0.19999991337458292) on 21 1407561257 2026-02-11 10:08:22.005382 id_data : 97  

**
BIG TIME 1060.9998681545258 (607.9981780052185, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.59242135, 0, 0, 3.6882000046014785, 0.0151, 0.0019000983953475952, 0.9, 0.3950000689029693, -0.515000106493632) on 74 1407561355 2026-02-11 10:32:38.005319 id_data : 151  

*
BIG TIME 278.9990029335022 (607.9981780052185, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.59242135, 0, 0, 3.6882000046014785, 0.0151, 0.0019000983953475952, 0.9, 0.3950000689029693, -0.515000106493632) on 74 1407561789 2026-02-11 10:37:17.004322 id_data : 152  

*
BIG TIME 281.0009939670563 (607.9981780052185, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.59242135, 0, 0, 3.6882000046014785, 0.0151, 0.0019000983953475952, 0.9, 0.3950000689029693, -0.515000106493632) on 74 1407564714 2026-02-11 10:41:58.005316 id_data : 153  

*
BIG TIME 1023.9990918636322 (607.9981780052185, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.59242135, 0, 0, 3.6882000046014785, 0.0151, 0.0019000983953475952, 0.9, 0.3950000689029693, -0.515000106493632) on 74 1407566150 2026-02-11 10:59:02.004408 id_data : 154  

**
BIG TIME 208.99994921684265 (729.0012402534485, 2, 0, 0, 0.4117603, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.969300003194809, 0.0177, 0.006299997782707214, 2.9, 0.12200203514099123, -0.2683331549167633) on 92 1407571526 2026-02-11 11:05:17.005386 id_data : 177  

*****
BIG TIME 264.99994707107544 (1270.000215768814, 5, 0, 0, 0, 0, 0, 0.95196205, 0, 0, 0, 0, 0, 0, 4.047700000596047, 0.0246, 0.009800005412101746, 1.9, 0.11600093269348144, -0.21499995827674867) on 156 1407578851 2026-02-11 11:19:17.005358 id_data : 246  

*
BIG TIME 279.99895000457764 (1270.000215768814, 5, 0, 0, 0, 0, 0, 0.95196205, 0, 0, 0, 0, 0, 0, 4.047700000596047, 0.0246, 0.009800005412101746, 1.9, 0.11600093269348144, -0.21499995827674867) on 156 1407579125 2026-02-11 11:23:57.004308 id_data : 247  

***
BIG TIME 295.0009939670563 (1536.0023186206818, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.86894387, 0, 0, 0, 4.128699899196625, 0.0279, 0.009800005412101746, 1.9, 0.08499895191192627, -0.13333327651023866) on 187 1407582138 2026-02-11 11:33:17.005391 id_data : 279  

**
BIG TIME 169.99891591072083 (1778.0003225803375, 3, 0, 0, 0, 0.9332096, 0, 0, 0, 0, 0, 0, 0, 0, 4.197200005912781, 0.0321, 0.023500105810165404, 1.9, 0.25299906921386717, -0.5166667552789053) on 215 1407585296 2026-02-11 11:42:37.004380 id_data : 321  

**
BIG TIME 259.999960899353 (2088.0004007816315, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.77209795, 0, 0, 0, 4.244200001907348, 0.0354, 0.023500105810165404, 2.9, 0.300001044034958, -0.31500003854433695) on 247 1407586184 2026-02-11 11:51:57.005385 id_data : 354  

***
BIG TIME 220.00000190734863 (2282.9993798732758, 2, 0, 0, 0.85454553, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.295200023794174, 0.0379, 0.028000210213661194, 1.9, 0.2049992139339447, -0.27500211000442504) on 268 1407589806 2026-02-11 12:01:12.005389 id_data : 380  

*
BIG TIME 371.0009779930115 (2474.0010437965393, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.86524034, 0, 0, 0, 4.343699900197983, 0.0414, 0.028000210213661194, 1.9, 0.1799990179538727, -0.28333337148030596) on 301 1407592844 2026-02-11 12:10:23.005385 id_data : 414  

oooooo**
BIG TIME 214.99993896484375 (2692.9986526966095, 4, 0, 0, 0, 0, 0.6105822, 0, 0, 0, 0, 0, 0, 0, 4.40280000360012, 0.045, 0.028000210213661194, 1.9, 0.15599998092651368, -0.2516683514912923) on 330 1407593144 2026-02-11 12:17:38.005380 id_data : 450  

*Unexpected type of data : ({'photo_id': 1407593170, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0e47674a8dcb05b8a5e571facab0711e.jpg', 'username': None, 'uploaded_at': 1770808942, 'text': 'image_11022026_12_20_28_5453.jpg', 'time': 1770812428.005453}, 'different')
Unexpected type of data : ({'photo_id': 1407593171, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/499808e416dbd554dbe2fe19e29172f3.jpg', 'username': None, 'uploaded_at': 1770808942, 'text': 'image_11022026_12_20_32_4438.jpg', 'time': 1770812432.004438}, 'different')
Unexpected type of data : ({'photo_id': 1407593172, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/11384f683818cef3b551f16b15e0c20c.jpg', 'username': None, 'uploaded_at': 1770808942, 'text': 'image_11022026_12_20_38_5424.jpg', 'time': 1770812438.005424}, 'different')
Unexpected type of data : ({'photo_id': 1407593173, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/eddfe599d2b3eecf95b4a68a43881e3c.jpg', 'username': None, 'uploaded_at': 1770808942, 'text': 'image_11022026_12_20_42_4444.jpg', 'time': 1770812442.004444}, 'different')
Unexpected type of data : ({'photo_id': 1407593174, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/75d72f263953bbc4618f3f470f981c27.jpg', 'username': None, 'uploaded_at': 1770808942, 'text': 'image_11022026_12_20_48_5456.jpg', 'time': 1770812448.005456}, 'different')
Unexpected type of data : ({'photo_id': 1407593175, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0b48f1092e27f53ddaa4b5014db6398c.jpg', 'username': None, 'uploaded_at': 1770808942, 'text': 'image_11022026_12_20_53_5420.jpg', 'time': 1770812453.00542}, 'different')
Unexpected type of data : ({'photo_id': 1407593177, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/12903a4a63060cc36cf5d33c75799d52.jpg', 'username': None, 'uploaded_at': 1770808983, 'text': 'image_11022026_12_20_58_4431.jpg', 'time': 1770812458.004431}, 'different')
Unexpected type of data : ({'photo_id': 1407593179, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/430bc60cc4d7e48cd2b47569212efc42.jpg', 'username': None, 'uploaded_at': 1770808983, 'text': 'image_11022026_12_21_03_5440.jpg', 'time': 1770812463.00544}, 'different')
Unexpected type of data : ({'photo_id': 1407593181, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/4f8e40418378ce0ecf82d66e4c7b1cdf.jpg', 'username': None, 'uploaded_at': 1770808983, 'text': 'image_11022026_12_21_07_4431.jpg', 'time': 1770812467.004431}, 'different')
Unexpected type of data : ({'photo_id': 1407593182, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/242fb3d6258fdff174c94a080b3decc5.jpg', 'username': None, 'uploaded_at': 1770808983, 'text': 'image_11022026_12_21_13_5449.jpg', 'time': 1770812473.005449}, 'different')
Unexpected type of data : ({'photo_id': 1407593183, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ca984c881d549587e2ee7cf9bb9529a8.jpg', 'username': None, 'uploaded_at': 1770808983, 'text': 'image_11022026_12_21_17_4430.jpg', 'time': 1770812477.00443}, 'different')
Unexpected type of data : ({'photo_id': 1407593184, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/eda3033cb0ebe7aa5f9260f1953856b1.jpg', 'username': None, 'uploaded_at': 1770808983, 'text': 'image_11022026_12_21_23_5431.jpg', 'time': 1770812483.005431}, 'different')
Unexpected type of data : ({'photo_id': 1407593185, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/72a15310690775946b603824b33a9746.jpg', 'username': None, 'uploaded_at': 1770809022, 'text': 'image_11022026_12_21_27_4444.jpg', 'time': 1770812487.004444}, 'different')
Unexpected type of data : ({'photo_id': 1407593187, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b4bd19ac64120e931a8822b09e56b2bd.jpg', 'username': None, 'uploaded_at': 1770809022, 'text': 'image_11022026_12_21_33_5429.jpg', 'time': 1770812493.005429}, 'different')
Unexpected type of data : ({'photo_id': 1407593188, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d151f683f0702c1443d0a2966a0957ab.jpg', 'username': None, 'uploaded_at': 1770809022, 'text': 'image_11022026_12_21_38_5454.jpg', 'time': 1770812498.005454}, 'different')
Unexpected type of data : ({'photo_id': 1407593189, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/27502505d5f238b307b14875ab770027.jpg', 'username': None, 'uploaded_at': 1770809022, 'text': 'image_11022026_12_21_43_4430.jpg', 'time': 1770812503.00443}, 'different')
Unexpected type of data : ({'photo_id': 1407593190, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e3ffca3d92576f67a42155565f711cc4.jpg', 'username': None, 'uploaded_at': 1770809022, 'text': 'image_11022026_12_21_48_5453.jpg', 'time': 1770812508.005453}, 'different')
Unexpected type of data : ({'photo_id': 1407593191, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/9613e0fb7226aa5b95a359ab63478006.jpg', 'username': None, 'uploaded_at': 1770809022, 'text': 'image_11022026_12_21_52_4429.jpg', 'time': 1770812512.004429}, 'different')
Unexpected type of data : ({'photo_id': 1407593192, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/43689587d9fba4c97029d65857bbf1a1.jpg', 'username': None, 'uploaded_at': 1770809062, 'text': 'image_11022026_12_21_58_5435.jpg', 'time': 1770812518.005435}, 'different')
Unexpected type of data : ({'photo_id': 1407593193, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/472da3a943eed60fca6880720ab4c5f0.jpg', 'username': None, 'uploaded_at': 1770809062, 'text': 'image_11022026_12_22_28_4452.jpg', 'time': 1770812548.004452}, 'different')
Unexpected type of data : ({'photo_id': 1407593194, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2e551460748964fee7bccfb53ecc8079.jpg', 'username': None, 'uploaded_at': 1770809062, 'text': 'image_11022026_12_22_33_5430.jpg', 'time': 1770812553.00543}, 'different')
Unexpected type of data : ({'photo_id': 1407593195, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d7a7ace8560aed0e3f2edf431706f44d.jpg', 'username': None, 'uploaded_at': 1770809062, 'text': 'image_11022026_12_22_37_4423.jpg', 'time': 1770812557.004423}, 'different')
Unexpected type of data : ({'photo_id': 1407593196, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c90984f7abf900d587da4ffc28abd12d.jpg', 'username': None, 'uploaded_at': 1770809062, 'text': 'image_11022026_12_22_43_5442.jpg', 'time': 1770812563.005442}, 'different')
Unexpected type of data : ({'photo_id': 1407593198, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0ef9b799f424b2dc1cfbd35966c3d2ed.jpg', 'username': None, 'uploaded_at': 1770809062, 'text': 'image_11022026_12_22_47_4430.jpg', 'time': 1770812567.00443}, 'different')
Unexpected type of data : ({'photo_id': 1407593200, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f7125eea9395d909fb0d60d3ca2f1c61.jpg', 'username': None, 'uploaded_at': 1770809103, 'text': 'image_11022026_12_22_53_5436.jpg', 'time': 1770812573.005436}, 'different')
Unexpected type of data : ({'photo_id': 1407593201, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/a300565604eea1550fed35caec4d3788.jpg', 'username': None, 'uploaded_at': 1770809103, 'text': 'image_11022026_12_22_58_5447.jpg', 'time': 1770812578.005447}, 'different')
Unexpected type of data : ({'photo_id': 1407593202, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/560d80b223d70f6f152d3beca6ce90f8.jpg', 'username': None, 'uploaded_at': 1770809103, 'text': 'image_11022026_12_23_03_4423.jpg', 'time': 1770812583.004423}, 'different')
Unexpected type of data : ({'photo_id': 1407593203, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f1bed7fb5f4bcd275ba905a0fc1fceac.jpg', 'username': None, 'uploaded_at': 1770809103, 'text': 'image_11022026_12_23_08_5452.jpg', 'time': 1770812588.005452}, 'different')
Unexpected type of data : ({'photo_id': 1407593204, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/a78bf7c97b38090bebae3d23d051d71b.jpg', 'username': None, 'uploaded_at': 1770809103, 'text': 'image_11022026_12_23_13_4445.jpg', 'time': 1770812593.004445}, 'different')
Unexpected type of data : ({'photo_id': 1407593205, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/6bd24908fc152ef92b26ba128ada8b79.jpg', 'username': None, 'uploaded_at': 1770809103, 'text': 'image_11022026_12_23_18_5438.jpg', 'time': 1770812598.005438}, 'different')
Unexpected type of data : ({'photo_id': 1407593206, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f36c75eafc80339ccd09253d6a718411.jpg', 'username': None, 'uploaded_at': 1770809142, 'text': 'image_11022026_12_23_22_4423.jpg', 'time': 1770812602.004423}, 'different')
Unexpected type of data : ({'photo_id': 1407593208, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/3926272c1ff240d9158184f2a073e39e.jpg', 'username': None, 'uploaded_at': 1770809142, 'text': 'image_11022026_12_23_28_5435.jpg', 'time': 1770812608.005435}, 'different')
Unexpected type of data : ({'photo_id': 1407593209, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5d9ee31253f089756627177534587bb5.jpg', 'username': None, 'uploaded_at': 1770809142, 'text': 'image_11022026_12_23_32_4439.jpg', 'time': 1770812612.004439}, 'different')
Unexpected type of data : ({'photo_id': 1407593210, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/bd2e14b88e9afc5378714fd46065668b.jpg', 'username': None, 'uploaded_at': 1770809142, 'text': 'image_11022026_12_23_38_5433.jpg', 'time': 1770812618.005433}, 'different')
Unexpected type of data : ({'photo_id': 1407593211, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/76a6b8164db3c836dc82c07309cda5f4.jpg', 'username': None, 'uploaded_at': 1770809142, 'text': 'image_11022026_12_23_43_5443.jpg', 'time': 1770812623.005443}, 'different')
Unexpected type of data : ({'photo_id': 1407593212, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/3c15da8e993c70172fca9cec280e36ee.jpg', 'username': None, 'uploaded_at': 1770809142, 'text': 'image_11022026_12_24_13_5502.jpg', 'time': 1770812653.005502}, 'different')
Unexpected type of data : ({'photo_id': 1407593213, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/460c43649e98e2716b0a5ffbbb00cf67.jpg', 'username': None, 'uploaded_at': 1770809182, 'text': 'image_11022026_12_24_17_4425.jpg', 'time': 1770812657.004425}, 'different')
Unexpected type of data : ({'photo_id': 1407593214, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/529ab472c2b141727427e2431394e070.jpg', 'username': None, 'uploaded_at': 1770809182, 'text': 'image_11022026_12_24_23_5445.jpg', 'time': 1770812663.005445}, 'different')
Unexpected type of data : ({'photo_id': 1407593215, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/fbf32b678726fbdab95a485950cd3094.jpg', 'username': None, 'uploaded_at': 1770809182, 'text': 'image_11022026_12_24_27_4439.jpg', 'time': 1770812667.004439}, 'different')
Unexpected type of data : ({'photo_id': 1407593216, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/fa8b15a009739d08e6b32519a5006ea2.jpg', 'username': None, 'uploaded_at': 1770809182, 'text': 'image_11022026_12_24_33_5446.jpg', 'time': 1770812673.005446}, 'different')
Unexpected type of data : ({'photo_id': 1407593217, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/79b2b57db3ef810b15c576205359302d.jpg', 'username': None, 'uploaded_at': 1770809182, 'text': 'image_11022026_12_24_38_5435.jpg', 'time': 1770812678.005435}, 'different')
Unexpected type of data : ({'photo_id': 1407593219, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/bcd90e3441a12a43660321c9a9bc0c6e.jpg', 'username': None, 'uploaded_at': 1770809182, 'text': 'image_11022026_12_24_43_4442.jpg', 'time': 1770812683.004442}, 'different')
Unexpected type of data : ({'photo_id': 1407593226, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b348c8ab3f3bc72b43d4bd53478eb9e1.jpg', 'username': None, 'uploaded_at': 1770809422, 'text': 'image_11022026_12_29_08_5418.jpg', 'time': 1770812948.005418}, 'different')
Unexpected type of data : ({'photo_id': 1407593227, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/7cec9394d379d9c7f69dd136791a79ed.jpg', 'username': None, 'uploaded_at': 1770809422, 'text': 'image_11022026_12_29_13_5423.jpg', 'time': 1770812953.005423}, 'different')
Unexpected type of data : ({'photo_id': 1407593229, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/eb42d482bd8992d8de8de21708ca1718.jpg', 'username': None, 'uploaded_at': 1770809422, 'text': 'image_11022026_12_29_17_4424.jpg', 'time': 1770812957.004424}, 'different')
Unexpected type of data : ({'photo_id': 1407593230, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c94326f84256ee9057200189b901e675.jpg', 'username': None, 'uploaded_at': 1770809422, 'text': 'image_11022026_12_29_23_5425.jpg', 'time': 1770812963.005425}, 'different')
Unexpected type of data : ({'photo_id': 1407593231, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ff0f746b4ef4c6351d933ea5a3b85ed4.jpg', 'username': None, 'uploaded_at': 1770809422, 'text': 'image_11022026_12_29_27_4406.jpg', 'time': 1770812967.004406}, 'different')
Unexpected type of data : ({'photo_id': 1407593232, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/60401e484f5dacdf47fe342ce5966ea3.jpg', 'username': None, 'uploaded_at': 1770809422, 'text': 'image_11022026_12_29_33_5443.jpg', 'time': 1770812973.005443}, 'different')
Unexpected type of data : ({'photo_id': 1407593235, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f99d3581ab3c26d22017a9b0a5b5f753.jpg', 'username': None, 'uploaded_at': 1770809463, 'text': 'image_11022026_12_29_37_4431.jpg', 'time': 1770812977.004431}, 'different')
Unexpected type of data : ({'photo_id': 1407593236, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5876331487031b9ca8dc81f2ed2f7e56.jpg', 'username': None, 'uploaded_at': 1770809463, 'text': 'image_11022026_12_29_43_5413.jpg', 'time': 1770812983.005413}, 'different')
Unexpected type of data : ({'photo_id': 1407593237, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/9efd5595e38e8c629e39037ed1995de3.jpg', 'username': None, 'uploaded_at': 1770809463, 'text': 'image_11022026_12_29_48_5441.jpg', 'time': 1770812988.005441}, 'different')
Unexpected type of data : ({'photo_id': 1407593238, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5948bcced26af8f31a2b8f66a315a42b.jpg', 'username': None, 'uploaded_at': 1770809463, 'text': 'image_11022026_12_29_52_4404.jpg', 'time': 1770812992.004404}, 'different')
Unexpected type of data : ({'photo_id': 1407593239, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c590115cf0fdbea8a38c8462354770fd.jpg', 'username': None, 'uploaded_at': 1770809502, 'text': 'image_11022026_12_29_58_5439.jpg', 'time': 1770812998.005439}, 'different')
Unexpected type of data : ({'photo_id': 1407593241, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/663a7a478c3d7186f6cc60c8db611b3d.jpg', 'username': None, 'uploaded_at': 1770809502, 'text': 'image_11022026_12_30_02_4431.jpg', 'time': 1770813002.004431}, 'different')
Unexpected type of data : ({'photo_id': 1407593242, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/eb37aa79d3ce02167441231976032892.jpg', 'username': None, 'uploaded_at': 1770809502, 'text': 'image_11022026_12_30_08_5533.jpg', 'time': 1770813008.005533}, 'different')
Unexpected type of data : ({'photo_id': 1407593243, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b235deb8cbeadd8a0748173f979c9058.jpg', 'username': None, 'uploaded_at': 1770809502, 'text': 'image_11022026_12_30_43_5464.jpg', 'time': 1770813043.005464}, 'different')
Unexpected type of data : ({'photo_id': 1407593244, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b07458d0d732955338971ce78178c4a2.jpg', 'username': None, 'uploaded_at': 1770809502, 'text': 'image_11022026_12_30_47_4434.jpg', 'time': 1770813047.004434}, 'different')
Unexpected type of data : ({'photo_id': 1407593245, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5b30673888e09b90822016af66855c10.jpg', 'username': None, 'uploaded_at': 1770809502, 'text': 'image_11022026_12_30_53_5440.jpg', 'time': 1770813053.00544}, 'different')
Unexpected type of data : ({'photo_id': 1407593246, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/80b93a3ee56d90ecd07898d967e070ee.jpg', 'username': None, 'uploaded_at': 1770809542, 'text': 'image_11022026_12_30_57_4434.jpg', 'time': 1770813057.004434}, 'different')
Unexpected type of data : ({'photo_id': 1407593247, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/3b1e1f4f2150c99814768b721c4db510.jpg', 'username': None, 'uploaded_at': 1770809542, 'text': 'image_11022026_12_31_03_5441.jpg', 'time': 1770813063.005441}, 'different')
Unexpected type of data : ({'photo_id': 1407593248, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f3ae14f4b86275fee45a29270225a9cd.jpg', 'username': None, 'uploaded_at': 1770809542, 'text': 'image_11022026_12_31_07_4414.jpg', 'time': 1770813067.004414}, 'different')
Unexpected type of data : ({'photo_id': 1407593249, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/1cb8d09b4e2c8601497eb7d1147b96aa.jpg', 'username': None, 'uploaded_at': 1770809542, 'text': 'image_11022026_12_31_13_5425.jpg', 'time': 1770813073.005425}, 'different')
Unexpected type of data : ({'photo_id': 1407593250, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/4e0c7e0b629bad94ee37fe40d526c573.jpg', 'username': None, 'uploaded_at': 1770809542, 'text': 'image_11022026_12_31_42_4425.jpg', 'time': 1770813102.004425}, 'different')
Unexpected type of data : ({'photo_id': 1407593251, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/8d68f66d5aa0d12a0cb792f95f44b255.jpg', 'username': None, 'uploaded_at': 1770809542, 'text': 'image_11022026_12_31_48_5427.jpg', 'time': 1770813108.005427}, 'different')
Unexpected type of data : ({'photo_id': 1407593280, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f8bf760291e224e1b735fe2e8bcdfcd6.jpg', 'username': None, 'uploaded_at': 1770809783, 'text': 'image_11022026_12_34_57_4389.jpg', 'time': 1770813297.004389}, 'different')
Unexpected type of data : ({'photo_id': 1407593281, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/efaf75625a73d0847c2ce6372ca0c8d3.jpg', 'username': None, 'uploaded_at': 1770809783, 'text': 'image_11022026_12_35_03_5454.jpg', 'time': 1770813303.005454}, 'different')
Unexpected type of data : ({'photo_id': 1407593282, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/6e1479649d448636e3437547deb2d9bd.jpg', 'username': None, 'uploaded_at': 1770809783, 'text': 'image_11022026_12_35_07_4478.jpg', 'time': 1770813307.004478}, 'different')
Unexpected type of data : ({'photo_id': 1407593304, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c34f4efde35a0b14148eb7ad4ac9549e.jpg', 'username': None, 'uploaded_at': 1770809783, 'text': 'image_11022026_12_35_13_5447.jpg', 'time': 1770813313.005447}, 'different')
Unexpected type of data : ({'photo_id': 1407593279, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/4da843fe17c3a35aba6b948b2d21a236.jpg', 'username': None, 'uploaded_at': 1770809763, 'text': 'image_11022026_12_35_18_5442.jpg', 'time': 1770813318.005442}, 'different')
Unexpected type of data : ({'photo_id': 1407593307, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d7a3faa735cce7c2d5588f7a02a99830.jpg', 'username': None, 'uploaded_at': 1770809783, 'text': 'image_11022026_12_35_23_4442.jpg', 'time': 1770813323.004442}, 'different')
Unexpected type of data : ({'photo_id': 1407593309, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/511fa64f4da1ce79bb9d7df02e966fed.jpg', 'username': None, 'uploaded_at': 1770809783, 'text': 'image_11022026_12_35_28_5466.jpg', 'time': 1770813328.005466}, 'different')
Unexpected type of data : ({'photo_id': 1407593339, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/20262bb632b6044a33a5e4e7f8622074.jpg', 'username': None, 'uploaded_at': 1770809823, 'text': 'image_11022026_12_35_32_4451.jpg', 'time': 1770813332.004451}, 'different')
Unexpected type of data : ({'photo_id': 1407593340, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/6e4763f7ceae603313e1bc094bef17bf.jpg', 'username': None, 'uploaded_at': 1770809823, 'text': 'image_11022026_12_35_38_5441.jpg', 'time': 1770813338.005441}, 'different')
Unexpected type of data : ({'photo_id': 1407593350, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f0a1c5a783a61ad17bc87738b6a65749.jpg', 'username': None, 'uploaded_at': 1770809823, 'text': 'image_11022026_12_35_42_4438.jpg', 'time': 1770813342.004438}, 'different')
Unexpected type of data : ({'photo_id': 1407593425, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0c1f29a919e6abc3ae2048dfcb93f56d.jpg', 'username': None, 'uploaded_at': 1770809823, 'text': 'image_11022026_12_35_48_5447.jpg', 'time': 1770813348.005447}, 'different')
Unexpected type of data : ({'photo_id': 1407593463, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f772971687f7cb83eebacf20e9ce8195.jpg', 'username': None, 'uploaded_at': 1770809823, 'text': 'image_11022026_12_35_52_4427.jpg', 'time': 1770813352.004427}, 'different')
Unexpected type of data : ({'photo_id': 1407593578, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/fdc64697a7d33c5532fb8dba3cd6ae4e.jpg', 'username': None, 'uploaded_at': 1770809863, 'text': 'image_11022026_12_35_58_5483.jpg', 'time': 1770813358.005483}, 'different')
Unexpected type of data : ({'photo_id': 1407593587, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c8750aeae3f4ca06f7f27cee43bc1b8f.jpg', 'username': None, 'uploaded_at': 1770809863, 'text': 'image_11022026_12_36_03_5426.jpg', 'time': 1770813363.005426}, 'different')
Unexpected type of data : ({'photo_id': 1407593588, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2f433e1f41ddc54e2704dd1e9cef828b.jpg', 'username': None, 'uploaded_at': 1770809863, 'text': 'image_11022026_12_36_08_4443.jpg', 'time': 1770813368.004443}, 'different')
Unexpected type of data : ({'photo_id': 1407593609, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/14fca78fc0dbeb2056b97ad7f53b48b9.jpg', 'username': None, 'uploaded_at': 1770809863, 'text': 'image_11022026_12_36_13_5439.jpg', 'time': 1770813373.005439}, 'different')
Unexpected type of data : ({'photo_id': 1407593627, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/67c78975f5e8745532ba6f5dab227410.jpg', 'username': None, 'uploaded_at': 1770809863, 'text': 'image_11022026_12_36_17_4418.jpg', 'time': 1770813377.004418}, 'different')
Unexpected type of data : ({'photo_id': 1407593628, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c0474ae08810fff6e7f46737c2b835a4.jpg', 'username': None, 'uploaded_at': 1770809863, 'text': 'image_11022026_12_36_23_5459.jpg', 'time': 1770813383.005459}, 'different')
Unexpected type of data : ({'photo_id': 1407593667, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/4ce2f0903346079a1d7e49c3b0c12052.jpg', 'username': None, 'uploaded_at': 1770809903, 'text': 'image_11022026_12_36_27_4449.jpg', 'time': 1770813387.004449}, 'different')
Unexpected type of data : ({'photo_id': 1407593671, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/85529f35990de923e53d0e630a6fcedf.jpg', 'username': None, 'uploaded_at': 1770809903, 'text': 'image_11022026_12_36_33_5454.jpg', 'time': 1770813393.005454}, 'different')
Unexpected type of data : ({'photo_id': 1407593672, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/00f1501a42e39a15132cebaa654e4093.jpg', 'username': None, 'uploaded_at': 1770809903, 'text': 'image_11022026_12_36_37_4445.jpg', 'time': 1770813397.004445}, 'different')
Unexpected type of data : ({'photo_id': 1407593673, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/18c3496d4cf73d2c779da6cc18ca5b7a.jpg', 'username': None, 'uploaded_at': 1770809903, 'text': 'image_11022026_12_36_43_5435.jpg', 'time': 1770813403.005435}, 'different')
Unexpected type of data : ({'photo_id': 1407593674, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2eaea658b5bf7dc4361b4cd68a524927.jpg', 'username': None, 'uploaded_at': 1770809903, 'text': 'image_11022026_12_36_48_5453.jpg', 'time': 1770813408.005453}, 'different')
Unexpected type of data : ({'photo_id': 1407593676, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f691e53226d85e8d9cacaf7ebf4351dd.jpg', 'username': None, 'uploaded_at': 1770809903, 'text': 'image_11022026_12_36_53_4429.jpg', 'time': 1770813413.004429}, 'different')
Unexpected type of data : ({'photo_id': 1407593692, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d594748b9018485ecbb9937daa643566.jpg', 'username': None, 'uploaded_at': 1770809942, 'text': 'image_11022026_12_36_58_5459.jpg', 'time': 1770813418.005459}, 'different')
Unexpected type of data : ({'photo_id': 1407593728, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/90275fb19eca30de0d6ada1201df5c1e.jpg', 'username': None, 'uploaded_at': 1770809942, 'text': 'image_11022026_12_37_02_4455.jpg', 'time': 1770813422.004455}, 'different')
Unexpected type of data : ({'photo_id': 1407593760, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/7e362bf4029864ed28c8633a6d943668.jpg', 'username': None, 'uploaded_at': 1770809942, 'text': 'image_11022026_12_37_08_5491.jpg', 'time': 1770813428.005491}, 'different')
Unexpected type of data : ({'photo_id': 1407593791, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/26bc74f1dbbd68b2dc7b131e01a3e065.jpg', 'username': None, 'uploaded_at': 1770809942, 'text': 'image_11022026_12_37_12_4445.jpg', 'time': 1770813432.004445}, 'different')
Unexpected type of data : ({'photo_id': 1407593823, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/aa5d8c6273249362b554999743d8048f.jpg', 'username': None, 'uploaded_at': 1770809942, 'text': 'image_11022026_12_37_18_5472.jpg', 'time': 1770813438.005472}, 'different')
Unexpected type of data : ({'photo_id': 1407593842, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e9ee0e6f304bea5b257bb2fde41b2e48.jpg', 'username': None, 'uploaded_at': 1770809942, 'text': 'image_11022026_12_37_22_4445.jpg', 'time': 1770813442.004445}, 'different')
Unexpected type of data : ({'photo_id': 1407593843, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ab72b76cf85560e05d39b90858d2b315.jpg', 'username': None, 'uploaded_at': 1770809982, 'text': 'image_11022026_12_37_28_5441.jpg', 'time': 1770813448.005441}, 'different')
Unexpected type of data : ({'photo_id': 1407593863, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/62e1ca5aa2121c97022fcf8409380861.jpg', 'username': None, 'uploaded_at': 1770809982, 'text': 'image_11022026_12_37_32_4435.jpg', 'time': 1770813452.004435}, 'different')
Unexpected type of data : ({'photo_id': 1407593895, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/efc82586e4abba70951a6470875e44d1.jpg', 'username': None, 'uploaded_at': 1770809982, 'text': 'image_11022026_12_37_38_5461.jpg', 'time': 1770813458.005461}, 'different')
Unexpected type of data : ({'photo_id': 1407593928, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d4c232113626ed71ed38af577db3db52.jpg', 'username': None, 'uploaded_at': 1770809982, 'text': 'image_11022026_12_37_43_5432.jpg', 'time': 1770813463.005432}, 'different')
Unexpected type of data : ({'photo_id': 1407593962, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/9bacbd8c3e0382d77361b303aca28926.jpg', 'username': None, 'uploaded_at': 1770809982, 'text': 'image_11022026_12_37_48_4457.jpg', 'time': 1770813468.004457}, 'different')
Unexpected type of data : ({'photo_id': 1407593994, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/7425d47b2d1a94b9c8d67c440c4d1bcc.jpg', 'username': None, 'uploaded_at': 1770809982, 'text': 'image_11022026_12_37_53_5446.jpg', 'time': 1770813473.005446}, 'different')
Unexpected type of data : ({'photo_id': 1407594214, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/88341034b8317130a8133689ff4ff4a6.jpg', 'username': None, 'uploaded_at': 1770810022, 'text': 'image_11022026_12_37_57_4446.jpg', 'time': 1770813477.004446}, 'different')
Unexpected type of data : ({'photo_id': 1407594261, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0327690776b242299d9452cc74f2d621.jpg', 'username': None, 'uploaded_at': 1770810022, 'text': 'image_11022026_12_38_03_5442.jpg', 'time': 1770813483.005442}, 'different')
Unexpected type of data : ({'photo_id': 1407594289, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2b07fc140601bb5cf2a65946c0d5e7a8.jpg', 'username': None, 'uploaded_at': 1770810022, 'text': 'image_11022026_12_38_07_4437.jpg', 'time': 1770813487.004437}, 'different')
Unexpected type of data : ({'photo_id': 1407594296, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/146cfe998ae29c73b4c25c8f45d299ee.jpg', 'username': None, 'uploaded_at': 1770810022, 'text': 'image_11022026_12_38_13_5442.jpg', 'time': 1770813493.005442}, 'different')
Unexpected type of data : ({'photo_id': 1407594308, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/cb7fc30317bb1f403ed78c52fed23cb2.jpg', 'username': None, 'uploaded_at': 1770810022, 'text': 'image_11022026_12_38_17_4440.jpg', 'time': 1770813497.00444}, 'different')
Unexpected type of data : ({'photo_id': 1407594324, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/71e0714cb77bebda279c3dd5900882bb.jpg', 'username': None, 'uploaded_at': 1770810022, 'text': 'image_11022026_12_38_23_5457.jpg', 'time': 1770813503.005457}, 'different')
Unexpected type of data : ({'photo_id': 1407594424, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f34516382fd4fe5fb7578cbc4d7452bd.jpg', 'username': None, 'uploaded_at': 1770810063, 'text': 'image_11022026_12_38_28_5458.jpg', 'time': 1770813508.005458}, 'different')
Unexpected type of data : ({'photo_id': 1407594449, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2f8d3842afe319d382b87f39359cdc2b.jpg', 'username': None, 'uploaded_at': 1770810063, 'text': 'image_11022026_12_38_33_4427.jpg', 'time': 1770813513.004427}, 'different')
Unexpected type of data : ({'photo_id': 1407594497, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/51df0ea417e14d0d526382060c3608c4.jpg', 'username': None, 'uploaded_at': 1770810063, 'text': 'image_11022026_12_39_58_5372.jpg', 'time': 1770813598.005372}, 'different')
Unexpected type of data : ({'photo_id': 1407594758, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/9c3dcb5a514ee98e65df84c6ab04090c.jpg', 'username': None, 'uploaded_at': 1770810262, 'text': 'image_11022026_12_42_58_5396.jpg', 'time': 1770813778.005396}, 'different')
Unexpected type of data : ({'photo_id': 1407594759, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2a0a154d71c4422da6331f711fd3695c.jpg', 'username': None, 'uploaded_at': 1770810262, 'text': 'image_11022026_12_43_02_4406.jpg', 'time': 1770813782.004406}, 'different')
Unexpected type of data : ({'photo_id': 1407594760, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b2458db85a5bc011dfa2afdc0374820a.jpg', 'username': None, 'uploaded_at': 1770810262, 'text': 'image_11022026_12_43_08_5490.jpg', 'time': 1770813788.00549}, 'different')
Unexpected type of data : ({'photo_id': 1407594761, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/af847d29c1c9c5e5de6674315956ad30.jpg', 'username': None, 'uploaded_at': 1770810262, 'text': 'image_11022026_12_43_13_5392.jpg', 'time': 1770813793.005392}, 'different')
Unexpected type of data : ({'photo_id': 1407594762, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e0e0389120faa2499334aec66b856034.jpg', 'username': None, 'uploaded_at': 1770810262, 'text': 'image_11022026_12_43_18_4406.jpg', 'time': 1770813798.004406}, 'different')
Unexpected type of data : ({'photo_id': 1407594764, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/40aef04161d8bd646df5e1172ef61c97.jpg', 'username': None, 'uploaded_at': 1770810262, 'text': 'image_11022026_12_43_23_5408.jpg', 'time': 1770813803.005408}, 'different')
Unexpected type of data : ({'photo_id': 1407594766, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/edfe11fc16316c9bc337e7697811cde7.jpg', 'username': None, 'uploaded_at': 1770810303, 'text': 'image_11022026_12_43_27_4392.jpg', 'time': 1770813807.004392}, 'different')
Unexpected type of data : ({'photo_id': 1407594767, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0a6ec4267553a0e8508cc016531884f6.jpg', 'username': None, 'uploaded_at': 1770810303, 'text': 'image_11022026_12_43_33_5408.jpg', 'time': 1770813813.005408}, 'different')
Unexpected type of data : ({'photo_id': 1407594769, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/eb69a9d0f807215634ca0ef8fa92fa2f.jpg', 'username': None, 'uploaded_at': 1770810303, 'text': 'image_11022026_12_43_38_5409.jpg', 'time': 1770813818.005409}, 'different')
Unexpected type of data : ({'photo_id': 1407594770, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b3bacd84f04a9be13c42fdee220a66b4.jpg', 'username': None, 'uploaded_at': 1770810303, 'text': 'image_11022026_12_43_43_4412.jpg', 'time': 1770813823.004412}, 'different')
Unexpected type of data : ({'photo_id': 1407594771, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/705aa7061f37a2e6c55438fc6140c987.jpg', 'username': None, 'uploaded_at': 1770810303, 'text': 'image_11022026_12_43_48_5429.jpg', 'time': 1770813828.005429}, 'different')
Unexpected type of data : ({'photo_id': 1407594772, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/21d5f08ddf73760014d88d767a991141.jpg', 'username': None, 'uploaded_at': 1770810303, 'text': 'image_11022026_12_43_52_4396.jpg', 'time': 1770813832.004396}, 'different')
Unexpected type of data : ({'photo_id': 1407594774, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/89386a2e101ab299a03673cca32e18cf.jpg', 'username': None, 'uploaded_at': 1770810342, 'text': 'image_11022026_12_43_58_5398.jpg', 'time': 1770813838.005398}, 'different')
Unexpected type of data : ({'photo_id': 1407594775, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/bb14149dd79382bfb8c33bb9ad7df843.jpg', 'username': None, 'uploaded_at': 1770810342, 'text': 'image_11022026_12_44_02_4406.jpg', 'time': 1770813842.004406}, 'different')
Unexpected type of data : ({'photo_id': 1407594776, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d987a307f96ac5dde85595f1e3eefc70.jpg', 'username': None, 'uploaded_at': 1770810342, 'text': 'image_11022026_12_44_08_5638.jpg', 'time': 1770813848.005638}, 'different')
Unexpected type of data : ({'photo_id': 1407594777, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/78595c7f633f0c7de83d0a0be5b88cf0.jpg', 'username': None, 'uploaded_at': 1770810342, 'text': 'image_11022026_12_44_23_5409.jpg', 'time': 1770813863.005409}, 'different')
Unexpected type of data : ({'photo_id': 1407594778, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/6fbc5dbeb19ccf69936bb2f1d725cd86.jpg', 'username': None, 'uploaded_at': 1770810342, 'text': 'image_11022026_12_44_27_4407.jpg', 'time': 1770813867.004407}, 'different')
Unexpected type of data : ({'photo_id': 1407594779, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2b65ffab30a79e56221931a1d246be8f.jpg', 'username': None, 'uploaded_at': 1770810342, 'text': 'image_11022026_12_44_33_5398.jpg', 'time': 1770813873.005398}, 'different')
Unexpected type of data : ({'photo_id': 1407594781, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/71b744574e0ae959a326f407519b3cfc.jpg', 'username': None, 'uploaded_at': 1770810383, 'text': 'image_11022026_12_44_37_4401.jpg', 'time': 1770813877.004401}, 'different')
Unexpected type of data : ({'photo_id': 1407594782, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e8e54f5f88ab8dca9de1e3242effc8be.jpg', 'username': None, 'uploaded_at': 1770810383, 'text': 'image_11022026_12_44_43_5406.jpg', 'time': 1770813883.005406}, 'different')
Unexpected type of data : ({'photo_id': 1407594783, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/8ab89fa80d62ab768f5b216cf287261e.jpg', 'username': None, 'uploaded_at': 1770810383, 'text': 'image_11022026_12_44_48_5404.jpg', 'time': 1770813888.005404}, 'different')
Unexpected type of data : ({'photo_id': 1407594784, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/47c986e52f9618c2f666d5e2a3a0c0a4.jpg', 'username': None, 'uploaded_at': 1770810383, 'text': 'image_11022026_12_44_52_4381.jpg', 'time': 1770813892.004381}, 'different')
Unexpected type of data : ({'photo_id': 1407594785, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c50d45f102b76847e8c8403b7bd0239f.jpg', 'username': None, 'uploaded_at': 1770810383, 'text': 'image_11022026_12_44_58_5400.jpg', 'time': 1770813898.0054}, 'different')
Unexpected type of data : ({'photo_id': 1407594786, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f345d737668f1bcfa9a18a3debb59cf1.jpg', 'username': None, 'uploaded_at': 1770810383, 'text': 'image_11022026_12_45_02_4393.jpg', 'time': 1770813902.004393}, 'different')
Unexpected type of data : ({'photo_id': 1407594802, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/95aa0b1ea9007d654a1c71a436c12d79.jpg', 'username': None, 'uploaded_at': 1770810423, 'text': 'image_11022026_12_45_23_5419.jpg', 'time': 1770813923.005419}, 'different')
Unexpected type of data : ({'photo_id': 1407594834, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/de5e47eb4c4fea871a74ba918f0b8084.jpg', 'username': None, 'uploaded_at': 1770810423, 'text': 'image_11022026_12_45_27_4390.jpg', 'time': 1770813927.00439}, 'different')
Unexpected type of data : ({'photo_id': 1407594866, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/becb48e16dba329e688d5ae319bcf841.jpg', 'username': None, 'uploaded_at': 1770810423, 'text': 'image_11022026_12_45_33_5419.jpg', 'time': 1770813933.005419}, 'different')
Unexpected type of data : ({'photo_id': 1407594898, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ac9e20d30e98ea396d06829fe2162b70.jpg', 'username': None, 'uploaded_at': 1770810423, 'text': 'image_11022026_12_45_37_4401.jpg', 'time': 1770813937.004401}, 'different')
Unexpected type of data : ({'photo_id': 1407594905, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/44f79e8b243a4dcad86918e0a7410a80.jpg', 'username': None, 'uploaded_at': 1770810423, 'text': 'image_11022026_12_45_43_5392.jpg', 'time': 1770813943.005392}, 'different')
Unexpected type of data : ({'photo_id': 1407594915, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/511df1b427b196d33c118a1e5d0edfdc.jpg', 'username': None, 'uploaded_at': 1770810423, 'text': 'image_11022026_12_45_48_5400.jpg', 'time': 1770813948.0054}, 'different')
Unexpected type of data : ({'photo_id': 1407594927, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/8b0a2a4a95b0762572466444f958fe56.jpg', 'username': None, 'uploaded_at': 1770810463, 'text': 'image_11022026_12_45_52_4394.jpg', 'time': 1770813952.004394}, 'different')
Unexpected type of data : ({'photo_id': 1407594962, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/40f60afe82d0488f4f0f337a6ab34d4a.jpg', 'username': None, 'uploaded_at': 1770810463, 'text': 'image_11022026_12_45_58_5390.jpg', 'time': 1770813958.00539}, 'different')
Unexpected type of data : ({'photo_id': 1407594993, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/49fb0cdc8d8fa0deb38f5ad09bc5a724.jpg', 'username': None, 'uploaded_at': 1770810463, 'text': 'image_11022026_12_46_27_4397.jpg', 'time': 1770813987.004397}, 'different')
Unexpected type of data : ({'photo_id': 1407595014, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c127a1e44bf37658d42c00f0670fae0b.jpg', 'username': None, 'uploaded_at': 1770810463, 'text': 'image_11022026_12_46_33_5395.jpg', 'time': 1770813993.005395}, 'different')
Unexpected type of data : ({'photo_id': 1407595102, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/4f2b85d7c4397a109f620d723e103348.jpg', 'username': None, 'uploaded_at': 1770810742, 'text': 'image_11022026_12_50_57_4396.jpg', 'time': 1770814257.004396}, 'different')
Unexpected type of data : ({'photo_id': 1407595103, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/a058984a4c15177c487b71394d8fc6a1.jpg', 'username': None, 'uploaded_at': 1770810742, 'text': 'image_11022026_12_51_03_5413.jpg', 'time': 1770814263.005413}, 'different')
Unexpected type of data : ({'photo_id': 1407595104, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e5012aeea746ba104401d5a0828a0a25.jpg', 'username': None, 'uploaded_at': 1770810742, 'text': 'image_11022026_12_51_08_5472.jpg', 'time': 1770814268.005472}, 'different')
Unexpected type of data : ({'photo_id': 1407595105, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/71080dbcff386730e4ae0ed71f918672.jpg', 'username': None, 'uploaded_at': 1770810742, 'text': 'image_11022026_12_51_13_4414.jpg', 'time': 1770814273.004414}, 'different')
Unexpected type of data : ({'photo_id': 1407595106, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/9a439c9a3f97ccab15d592d4c036d29e.jpg', 'username': None, 'uploaded_at': 1770810742, 'text': 'image_11022026_12_51_18_5429.jpg', 'time': 1770814278.005429}, 'different')
Unexpected type of data : ({'photo_id': 1407595107, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/a38831bc9055f6c788b5cd4c53972c1f.jpg', 'username': None, 'uploaded_at': 1770810742, 'text': 'image_11022026_12_51_22_4411.jpg', 'time': 1770814282.004411}, 'different')
Unexpected type of data : ({'photo_id': 1407595110, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0ff061b91a85acdd1626ee2b77375492.jpg', 'username': None, 'uploaded_at': 1770810783, 'text': 'image_11022026_12_51_28_5428.jpg', 'time': 1770814288.005428}, 'different')
Unexpected type of data : ({'photo_id': 1407595111, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0217e3d0186f0d59b40bc46a86e0a27d.jpg', 'username': None, 'uploaded_at': 1770810783, 'text': 'image_11022026_12_51_32_4415.jpg', 'time': 1770814292.004415}, 'different')
Unexpected type of data : ({'photo_id': 1407595112, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/27ce6b59b54a03b699bc1b691228c76b.jpg', 'username': None, 'uploaded_at': 1770810783, 'text': 'image_11022026_12_51_38_5418.jpg', 'time': 1770814298.005418}, 'different')
Unexpected type of data : ({'photo_id': 1407595113, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/082fd666e2a47b13e8d5dda8bd70cf6f.jpg', 'username': None, 'uploaded_at': 1770810783, 'text': 'image_11022026_12_51_43_5441.jpg', 'time': 1770814303.005441}, 'different')
Unexpected type of data : ({'photo_id': 1407595114, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/3c395527b6741a9c9288658801df18c4.jpg', 'username': None, 'uploaded_at': 1770810783, 'text': 'image_11022026_12_51_47_4413.jpg', 'time': 1770814307.004413}, 'different')
Unexpected type of data : ({'photo_id': 1407595115, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/bee177c3ebcefe25d214346371c0d32b.jpg', 'username': None, 'uploaded_at': 1770810783, 'text': 'image_11022026_12_51_53_5446.jpg', 'time': 1770814313.005446}, 'different')
Unexpected type of data : ({'photo_id': 1407595116, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f90a0628924bb7e587532411391e228f.jpg', 'username': None, 'uploaded_at': 1770810822, 'text': 'image_11022026_12_51_57_4417.jpg', 'time': 1770814317.004417}, 'different')
Unexpected type of data : ({'photo_id': 1407595117, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/1e6702c60f8d5ba10b36f12357a630ca.jpg', 'username': None, 'uploaded_at': 1770810822, 'text': 'image_11022026_12_52_03_5454.jpg', 'time': 1770814323.005454}, 'different')
Unexpected type of data : ({'photo_id': 1407595118, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/426046da25b488f3c93bf8e7a318c60a.jpg', 'username': None, 'uploaded_at': 1770810822, 'text': 'image_11022026_12_52_07_4464.jpg', 'time': 1770814327.004464}, 'different')
Unexpected type of data : ({'photo_id': 1407595119, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/799ee55e9e75e8324be9ef0490ba0e82.jpg', 'username': None, 'uploaded_at': 1770810822, 'text': 'image_11022026_12_52_13_5434.jpg', 'time': 1770814333.005434}, 'different')
Unexpected type of data : ({'photo_id': 1407595120, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d28ed71685306361f43169e3502187fb.jpg', 'username': None, 'uploaded_at': 1770810822, 'text': 'image_11022026_12_52_18_5430.jpg', 'time': 1770814338.00543}, 'different')
Unexpected type of data : ({'photo_id': 1407595121, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/8f5ef62b44a6758f8edbd9e461fc7b38.jpg', 'username': None, 'uploaded_at': 1770810822, 'text': 'image_11022026_12_52_28_5445.jpg', 'time': 1770814348.005445}, 'different')
Unexpected type of data : ({'photo_id': 1407595123, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f88e16d21668a48d6fa8d873be1e1fb4.jpg', 'username': None, 'uploaded_at': 1770810862, 'text': 'image_11022026_12_52_38_5442.jpg', 'time': 1770814358.005442}, 'different')
Unexpected type of data : ({'photo_id': 1407595124, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/13bdb4e42912e0ed974d0a0d6dc9efb6.jpg', 'username': None, 'uploaded_at': 1770810862, 'text': 'image_11022026_12_52_42_4420.jpg', 'time': 1770814362.00442}, 'different')
Unexpected type of data : ({'photo_id': 1407595125, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/1b66624f31c0fbe81354cb866ba7f0f7.jpg', 'username': None, 'uploaded_at': 1770810862, 'text': 'image_11022026_12_52_48_5415.jpg', 'time': 1770814368.005415}, 'different')
Unexpected type of data : ({'photo_id': 1407595126, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/8d81aa8c25ea82719d68d43835bc12d7.jpg', 'username': None, 'uploaded_at': 1770810862, 'text': 'image_11022026_12_52_53_5429.jpg', 'time': 1770814373.005429}, 'different')
Unexpected type of data : ({'photo_id': 1407595127, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/58dd7bcd5a8dfb600e94f4ad2f242c71.jpg', 'username': None, 'uploaded_at': 1770810862, 'text': 'image_11022026_12_52_58_4425.jpg', 'time': 1770814378.004425}, 'different')
Unexpected type of data : ({'photo_id': 1407595129, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/4bb9f49ad639edf2b8515fe16792bdae.jpg', 'username': None, 'uploaded_at': 1770810862, 'text': 'image_11022026_12_53_03_5444.jpg', 'time': 1770814383.005444}, 'different')
Unexpected type of data : ({'photo_id': 1407595131, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2be6632e2db2d82dbfdafdf5f2713ba2.jpg', 'username': None, 'uploaded_at': 1770810903, 'text': 'image_11022026_12_53_28_5434.jpg', 'time': 1770814408.005434}, 'different')
Unexpected type of data : ({'photo_id': 1407595132, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ff123974f32c4fcbb5ae39a34c5c678c.jpg', 'username': None, 'uploaded_at': 1770810903, 'text': 'image_11022026_12_53_48_5424.jpg', 'time': 1770814428.005424}, 'different')
Unexpected type of data : ({'photo_id': 1407595133, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/693533a7086576b1322bd4c33cb717d5.jpg', 'username': None, 'uploaded_at': 1770810903, 'text': 'image_11022026_12_53_52_4412.jpg', 'time': 1770814432.004412}, 'different')
Unexpected type of data : ({'photo_id': 1407595134, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f285c977993246b28fe0795fec51bfcc.jpg', 'username': None, 'uploaded_at': 1770810943, 'text': 'image_11022026_12_53_58_5427.jpg', 'time': 1770814438.005427}, 'different')
Unexpected type of data : ({'photo_id': 1407595136, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/a5716c8051da9f48c735988578061d58.jpg', 'username': None, 'uploaded_at': 1770810943, 'text': 'image_11022026_12_54_03_5440.jpg', 'time': 1770814443.00544}, 'different')
Unexpected type of data : ({'photo_id': 1407595137, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/cb86d934985962b0aa269cf8fb7dc095.jpg', 'username': None, 'uploaded_at': 1770810943, 'text': 'image_11022026_12_54_08_4414.jpg', 'time': 1770814448.004414}, 'different')
Unexpected type of data : ({'photo_id': 1407595138, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c275e2cb4b320540ee1c8ab688795ae1.jpg', 'username': None, 'uploaded_at': 1770810943, 'text': 'image_11022026_12_54_13_5427.jpg', 'time': 1770814453.005427}, 'different')
Unexpected type of data : ({'photo_id': 1407595139, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/721d539f88148dbbe5fccc83349b2075.jpg', 'username': None, 'uploaded_at': 1770810943, 'text': 'image_11022026_12_54_17_4432.jpg', 'time': 1770814457.004432}, 'different')
Unexpected type of data : ({'photo_id': 1407595140, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/bc4e30270c18d721c32433d404aa0fad.jpg', 'username': None, 'uploaded_at': 1770810943, 'text': 'image_11022026_12_54_23_5444.jpg', 'time': 1770814463.005444}, 'different')
Unexpected type of data : ({'photo_id': 1407595141, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d1477ef6131a84f22648ec400d149fe3.jpg', 'username': None, 'uploaded_at': 1770810983, 'text': 'image_11022026_12_54_33_5431.jpg', 'time': 1770814473.005431}, 'different')
Unexpected type of data : ({'photo_id': 1407595142, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ce5af52604f45d47061dca8d4a551514.jpg', 'username': None, 'uploaded_at': 1770810983, 'text': 'image_11022026_12_54_43_4503.jpg', 'time': 1770814483.004503}, 'different')
Unexpected type of data : ({'photo_id': 1407595143, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/7ae5973e95a08eb920f83013c1739fb2.jpg', 'username': None, 'uploaded_at': 1770810983, 'text': 'image_11022026_12_54_48_5437.jpg', 'time': 1770814488.005437}, 'different')
Unexpected type of data : ({'photo_id': 1407595144, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/95d83fa7002080ec5b8837730192a2a2.jpg', 'username': None, 'uploaded_at': 1770810983, 'text': 'image_11022026_12_54_58_5429.jpg', 'time': 1770814498.005429}, 'different')
Unexpected type of data : ({'photo_id': 1407595145, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2594afd81a6437373d605d8c6fa86032.jpg', 'username': None, 'uploaded_at': 1770810983, 'text': 'image_11022026_12_55_02_4444.jpg', 'time': 1770814502.004444}, 'different')
Unexpected type of data : ({'photo_id': 1407595146, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ee3ee1bf0a3b22d991639913966d46d5.jpg', 'username': None, 'uploaded_at': 1770810983, 'text': 'image_11022026_12_55_08_5507.jpg', 'time': 1770814508.005507}, 'different')
Unexpected type of data : ({'photo_id': 1407595149, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/befe69e384629c523b74adb3449e32c5.jpg', 'username': None, 'uploaded_at': 1770811023, 'text': 'image_11022026_12_55_12_4466.jpg', 'time': 1770814512.004466}, 'different')
Unexpected type of data : ({'photo_id': 1407595150, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c08b565fee2e1277da9d510cfada1fc1.jpg', 'username': None, 'uploaded_at': 1770811023, 'text': 'image_11022026_12_55_18_5408.jpg', 'time': 1770814518.005408}, 'different')
Unexpected type of data : ({'photo_id': 1407595151, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/9cdfddcfe573fb3b2c44a4726f03d6e7.jpg', 'username': None, 'uploaded_at': 1770811023, 'text': 'image_11022026_12_55_22_4420.jpg', 'time': 1770814522.00442}, 'different')
Unexpected type of data : ({'photo_id': 1407595152, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d8b83803fa6698eba8e3c2b08f1b77fb.jpg', 'username': None, 'uploaded_at': 1770811023, 'text': 'image_11022026_12_55_28_5438.jpg', 'time': 1770814528.005438}, 'different')
Unexpected type of data : ({'photo_id': 1407595153, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d4ec345ea385ccc11111dbf093be2a68.jpg', 'username': None, 'uploaded_at': 1770811023, 'text': 'image_11022026_12_55_33_5424.jpg', 'time': 1770814533.005424}, 'different')
Unexpected type of data : ({'photo_id': 1407595154, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/6090977e9b514c647c3e9d56eda1f9b9.jpg', 'username': None, 'uploaded_at': 1770811023, 'text': 'image_11022026_12_55_43_5452.jpg', 'time': 1770814543.005452}, 'different')
Unexpected type of data : ({'photo_id': 1407595156, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/de9b8ea8d0330e48361c131df4233378.jpg', 'username': None, 'uploaded_at': 1770811063, 'text': 'image_11022026_12_55_57_4446.jpg', 'time': 1770814557.004446}, 'different')
Unexpected type of data : ({'photo_id': 1407595165, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/83c0b051f769828bd562fc453a88da0b.jpg', 'username': None, 'uploaded_at': 1770811122, 'text': 'image_11022026_12_55_57_4446.jpg', 'time': 1770814557.004446}, 'different')
Unexpected type of data : ({'photo_id': 1407595157, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/1d02b0773172677b2688840bb39b2302.jpg', 'username': None, 'uploaded_at': 1770811063, 'text': 'image_11022026_12_56_18_5441.jpg', 'time': 1770814578.005441}, 'different')
Unexpected type of data : ({'photo_id': 1407595168, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/6d41fccc9dc1fb98d2e57aaba750a77b.jpg', 'username': None, 'uploaded_at': 1770811122, 'text': 'image_11022026_12_56_18_5441.jpg', 'time': 1770814578.005441}, 'different')
Unexpected type of data : ({'photo_id': 1407595158, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/86b4d3dfa977b29e68cc7e9e4320df15.jpg', 'username': None, 'uploaded_at': 1770811063, 'text': 'image_11022026_12_56_23_4415.jpg', 'time': 1770814583.004415}, 'different')
Unexpected type of data : ({'photo_id': 1407595171, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/16714d17781effa9823a8764eb9d5444.jpg', 'username': None, 'uploaded_at': 1770811122, 'text': 'image_11022026_12_56_23_4415.jpg', 'time': 1770814583.004415}, 'different')
Unexpected type of data : ({'photo_id': 1407595159, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/50d44db5a27aa4f5acdf8125b0e47fde.jpg', 'username': None, 'uploaded_at': 1770811063, 'text': 'image_11022026_12_56_28_5448.jpg', 'time': 1770814588.005448}, 'different')
Unexpected type of data : ({'photo_id': 1407595172, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b2392056195e732f60f1e9a64594b6d5.jpg', 'username': None, 'uploaded_at': 1770811122, 'text': 'image_11022026_12_56_28_5448.jpg', 'time': 1770814588.005448}, 'different')
Unexpected type of data : ({'photo_id': 1407595160, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/bbd4c2dda93f943a8bb61ca27dadc072.jpg', 'username': None, 'uploaded_at': 1770811063, 'text': 'image_11022026_12_56_32_4414.jpg', 'time': 1770814592.004414}, 'different')
Unexpected type of data : ({'photo_id': 1407595173, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/01439ebb545aaaa20b13cbf18baa1ed7.jpg', 'username': None, 'uploaded_at': 1770811122, 'text': 'image_11022026_12_56_32_4414.jpg', 'time': 1770814592.004414}, 'different')
Unexpected type of data : ({'photo_id': 1407595161, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/26b8870b49106d00cec891eb3cd9224a.jpg', 'username': None, 'uploaded_at': 1770811063, 'text': 'image_11022026_12_56_38_5436.jpg', 'time': 1770814598.005436}, 'different')
Unexpected type of data : ({'photo_id': 1407595174, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/226fbb96afac85b9552f6b92cb5d40f4.jpg', 'username': None, 'uploaded_at': 1770811122, 'text': 'image_11022026_12_56_38_5436.jpg', 'time': 1770814598.005436}, 'different')
Unexpected type of data : ({'photo_id': 1407595485, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/7e2c02486c58ef6351bdeabf5e40583b.jpg', 'username': None, 'uploaded_at': 1770811203, 'text': 'image_11022026_12_56_42_4417.jpg', 'time': 1770814602.004417}, 'different')
Unexpected type of data : ({'photo_id': 1407595520, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/a90577c32218a4e427f5ed46156467c0.jpg', 'username': None, 'uploaded_at': 1770811203, 'text': 'image_11022026_12_57_03_5452.jpg', 'time': 1770814623.005452}, 'different')
Unexpected type of data : ({'photo_id': 1407595557, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/56a439864c990da173b856d7e972ebf2.jpg', 'username': None, 'uploaded_at': 1770811203, 'text': 'image_11022026_12_57_07_4444.jpg', 'time': 1770814627.004444}, 'different')
Unexpected type of data : ({'photo_id': 1407595589, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/dda51224827cdabb0f3c9704a23ab04c.jpg', 'username': None, 'uploaded_at': 1770811203, 'text': 'image_11022026_12_57_38_5394.jpg', 'time': 1770814658.005394}, 'different')
Count Time bigger than 30s : 100
#Number Photos for regression : 
{'11022026': {493546845: {2107751013: 41.00047326087952, 2107751014: 21.99905228614807, 2107751015: 158.9986686706543, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 4.999024868011475, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 200.00196409225464, 2107751015: 50.001258850097656, 2107751016: 76.99802613258362, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 38.999046087265015, 2107751016: 214.00002312660217, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 135.99279403686523, 2107751015: 69.0071907043457, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 147.00184106826782, 2107751015: 256.0050084590912, 2107751016: 102.99514484405518, 2107751017: 3.998971939086914}, 560181804: {2107751013: 0, 2107751014: 26.000010013580322, 2107751015: 0, 2107751016: 8.999988079071045, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 267.9970724582672, 2107751015: 417.0018322467804, 2107751016: 50.00120544433594, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 180.99921417236328, 2107751015: 264.0006127357483, 2107751016: 120.00030899047852, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 5.999997138977051, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 84.99974417686462, 2107751016: 0, 2107751017: 0}}}
11022026|aluminium, 05102018_papier_non_papier_dense:41.00047326087952
11022026|aluminium, 05102018_papier_non_papier_peu_dense:21.99905228614807
11022026|aluminium, 05102018_papier_non_papier_presque_vide:158.9986686706543
11022026|aluminium, 05102018_papier_non_papier_tres_dense:0
11022026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0
11022026|ela, 05102018_papier_non_papier_dense:0
11022026|ela, 05102018_papier_non_papier_peu_dense:4.999024868011475
11022026|ela, 05102018_papier_non_papier_presque_vide:0
11022026|ela, 05102018_papier_non_papier_tres_dense:0
11022026|ela, 05102018_papier_non_papier_tres_peu_dense:0
11022026|emr, 05102018_papier_non_papier_dense:0
11022026|emr, 05102018_papier_non_papier_peu_dense:200.00196409225464
11022026|emr, 05102018_papier_non_papier_presque_vide:50.001258850097656
11022026|emr, 05102018_papier_non_papier_tres_dense:76.99802613258362
11022026|emr, 05102018_papier_non_papier_tres_peu_dense:0
11022026|film_pedb, 05102018_papier_non_papier_dense:0
11022026|film_pedb, 05102018_papier_non_papier_peu_dense:0
11022026|film_pedb, 05102018_papier_non_papier_presque_vide:38.999046087265015
11022026|film_pedb, 05102018_papier_non_papier_tres_dense:214.00002312660217
11022026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0
11022026|flux_dev, 05102018_papier_non_papier_dense:0
11022026|flux_dev, 05102018_papier_non_papier_peu_dense:135.99279403686523
11022026|flux_dev, 05102018_papier_non_papier_presque_vide:69.0071907043457
11022026|flux_dev, 05102018_papier_non_papier_tres_dense:0
11022026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0
11022026|jrm, 05102018_papier_non_papier_dense:0
11022026|jrm, 05102018_papier_non_papier_peu_dense:147.00184106826782
11022026|jrm, 05102018_papier_non_papier_presque_vide:256.0050084590912
11022026|jrm, 05102018_papier_non_papier_tres_dense:102.99514484405518
11022026|jrm, 05102018_papier_non_papier_tres_peu_dense:3.998971939086914
11022026|pcm, 05102018_papier_non_papier_dense:0
11022026|pcm, 05102018_papier_non_papier_peu_dense:26.000010013580322
11022026|pcm, 05102018_papier_non_papier_presque_vide:0
11022026|pcm, 05102018_papier_non_papier_tres_dense:8.999988079071045
11022026|pcm, 05102018_papier_non_papier_tres_peu_dense:0
11022026|pcnc, 05102018_papier_non_papier_dense:0
11022026|pcnc, 05102018_papier_non_papier_peu_dense:0
11022026|pcnc, 05102018_papier_non_papier_presque_vide:0
11022026|pcnc, 05102018_papier_non_papier_tres_dense:0
11022026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0
11022026|pehd_pp, 05102018_papier_non_papier_dense:0
11022026|pehd_pp, 05102018_papier_non_papier_peu_dense:267.9970724582672
11022026|pehd_pp, 05102018_papier_non_papier_presque_vide:417.0018322467804
11022026|pehd_pp, 05102018_papier_non_papier_tres_dense:50.00120544433594
11022026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0
11022026|pet_clair, 05102018_papier_non_papier_dense:0
11022026|pet_clair, 05102018_papier_non_papier_peu_dense:180.99921417236328
11022026|pet_clair, 05102018_papier_non_papier_presque_vide:264.0006127357483
11022026|pet_clair, 05102018_papier_non_papier_tres_dense:120.00030899047852
11022026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0
11022026|refus, 05102018_papier_non_papier_dense:0
11022026|refus, 05102018_papier_non_papier_peu_dense:0
11022026|refus, 05102018_papier_non_papier_presque_vide:5.999997138977051
11022026|refus, 05102018_papier_non_papier_tres_dense:0
11022026|refus, 05102018_papier_non_papier_tres_peu_dense:0
11022026|tapis_vide, 05102018_papier_non_papier_dense:0
11022026|tapis_vide, 05102018_papier_non_papier_peu_dense:0
11022026|tapis_vide, 05102018_papier_non_papier_presque_vide:84.99974417686462
11022026|tapis_vide, 05102018_papier_non_papier_tres_dense:0
11022026|tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0
#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 !
11022026_time_diff_distrib


 Number amount portfolio for this type of dechet :  aluminium 22
Created to study and clean : 30363690 with name like 11022026_aluminium_05102018_papier_non_papier_dense
Created to study and clean : 30363691 with name like 11022026_aluminium_05102018_papier_non_papier_peu_dense
Created to study and clean : 30363692 with name like 11022026_aluminium_05102018_papier_non_papier_presque_vide
 Number amount portfolio for this type of dechet :  ela 1
Created to study and clean : 30363693 with name like 11022026_ela_05102018_papier_non_papier_peu_dense
 Number amount portfolio for this type of dechet :  emr 39
Created to study and clean : 30363694 with name like 11022026_emr_05102018_papier_non_papier_peu_dense
Created to study and clean : 30363695 with name like 11022026_emr_05102018_papier_non_papier_presque_vide
Created to study and clean : 30363696 with name like 11022026_emr_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  film_pedb 28
Created to study and clean : 30363697 with name like 11022026_film_pedb_05102018_papier_non_papier_presque_vide
Created to study and clean : 30363698 with name like 11022026_film_pedb_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  flux_dev 26
Created to study and clean : 30363699 with name like 11022026_flux_dev_05102018_papier_non_papier_peu_dense
Created to study and clean : 30363700 with name like 11022026_flux_dev_05102018_papier_non_papier_presque_vide
 Number amount portfolio for this type of dechet :  jrm 62
Created to study and clean : 30363701 with name like 11022026_jrm_05102018_papier_non_papier_peu_dense
Created to study and clean : 30363702 with name like 11022026_jrm_05102018_papier_non_papier_presque_vide
Created to study and clean : 30363703 with name like 11022026_jrm_05102018_papier_non_papier_tres_dense
Created to study and clean : 30363704 with name like 11022026_jrm_05102018_papier_non_papier_tres_peu_dense
 Number amount portfolio for this type of dechet :  pcm 3
 Number amount portfolio for this type of dechet :  pcnc 0
 Number amount portfolio for this type of dechet :  pehd_pp 94
Created to study and clean : 30363705 with name like 11022026_pehd_pp_05102018_papier_non_papier_peu_dense
Created to study and clean : 30363706 with name like 11022026_pehd_pp_05102018_papier_non_papier_presque_vide
Created to study and clean : 30363707 with name like 11022026_pehd_pp_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  pet_clair 68
Created to study and clean : 30363708 with name like 11022026_pet_clair_05102018_papier_non_papier_peu_dense
Created to study and clean : 30363709 with name like 11022026_pet_clair_05102018_papier_non_papier_presque_vide
Created to study and clean : 30363710 with name like 11022026_pet_clair_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  refus 1
Created to study and clean : 30363711 with name like 11022026_refus_05102018_papier_non_papier_presque_vide
 Number amount portfolio for this type of dechet :  tapis_vide 1
Created to study and clean : 30363712 with name like 11022026_tapis_vide_05102018_papier_non_papier_presque_vide
 NUMBER BATCH : 22
 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['emr', 'gm', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus', 'emr', 'gm']
 id_amount : 0
 id_amount : 0
 id_amount : 0
 id_amount : 0
 id_amount : 0
 id_amount : 0
 id_amount : 0
 id_amount : 0
result_one_balle_Type_aluminium:{'day': '11022026', 'map_nb_amount': {0: 4, 1: 9, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 21.99905228614807, 1: 154.9996144771576, 2: 0, 3: 0, 4: 0}, 'duration': 119.99994802474976, 'nb_balles_papier': 0.2179991400241851, 'begin_time_port': 'image_11022026_10_03_12_005506m0.jpg 0.11700017595291137 for time 117.00017595291138, id_amount 2 this amount prod time diff : 0.11700017595291137'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.2179991400241851
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 !
hashtag non trouvé !
hashtag non trouvé !
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 !
hashtag non trouvé !
hashtag non trouvé !
We filter photos on hashtag condition !
result_one_balle_Type_pet_clair:{'day': '11022026', 'map_nb_amount': {0: 21, 1: 29, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 151.999165058136, 1: 228.00063276290894, 2: 15.000271081924438, 3: 0, 4: 0}, 'duration': 309.0000638961792, 'nb_balles_papier': 0.3950000689029693, 'begin_time_port': 'image_11022026_10_09_48_005387m0.jpg 0.08600000500679016 for time 86.00000500679016, id_amount 2 this amount prod time diff : 0.08600000500679016'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.3950000689029693
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 !
result_one_balle_Type_emr:{'day': '11022026', 'map_nb_amount': {0: 11, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 79.00098443031311, 1: 11.001024007797241, 2: 32.00002670288086, 3: 0, 4: 0}, 'duration': 166.0010290145874, 'nb_balles_papier': 0.12300203514099123, 'begin_time_port': 'image_11022026_10_59_02_004408m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.12300203514099123
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
hashtag non trouvé !
hashtag non trouvé !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
result_one_balle_Type_emr:{'day': '11022026', 'map_nb_amount': {0: 11, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 79.00098443031311, 1: 11.001024007797241, 2: 32.00002670288086, 3: 0, 4: 0}, 'duration': 166.0010290145874, 'nb_balles_papier': 0.12300203514099123, 'begin_time_port': 'image_11022026_10_59_02_004408m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.12300203514099123
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 !
result_one_balle_Type_jrm:{'day': '11022026', 'map_nb_amount': {0: 24, 1: 20, 2: 19, 3: 1, 4: 0}, 'map_time_amount': {0: 173.00185108184814, 1: 251.00399255752563, 2: 111.99513292312622, 3: 3.998971939086914, 4: 0}, 'duration': 544.0000069141388, 'nb_balles_papier': 0.5399999485015867, 'begin_time_port': 'image_11022026_11_05_48_005404m0.jpg 0.03100001788139343 for time 31.000017881393433, id_amount 2 this amount prod time diff : 0.03100001788139343'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.5399999485015867
hashtag non trouvé !
hashtag non trouvé !
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 !
hashtag non trouvé !
hashtag non trouvé !
result_one_balle_Type_pehd_pp:{'day': '11022026', 'map_nb_amount': {0: 17, 1: 13, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 90.00003480911255, 1: 169.9992389678955, 2: 5.000815153121948, 3: 0, 4: 0}, 'duration': 179.99901390075684, 'nb_balles_papier': 0.26500008893013, 'begin_time_port': 'image_11022026_11_25_22_005383m0.jpg 0.08500107502937317 for time 85.00107502937317, id_amount 2 this amount prod time diff : 0.08500107502937317'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.26500008893013
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 !
result_one_balle_Type_film_pedb:{'day': '11022026', 'map_nb_amount': {0: 0, 1: 3, 2: 25, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 38.999046087265015, 2: 214.00002312660217, 3: 0, 4: 0}, 'duration': 310.00005316734314, 'nb_balles_papier': 0.25299906921386717, 'begin_time_port': 'image_11022026_11_34_37_005411m0.jpg 0.08000002002716064 for time 80.00002002716064, id_amount 3 this amount prod time diff : 0.08000002002716064'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.25299906921386717
We filter photos on hashtag condition !
We filter photos on hashtag condition !
hashtag non trouvé !
hashtag non trouvé !
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 !
hashtag non trouvé !
hashtag non trouvé !
result_one_balle_Type_pehd_pp:{'day': '11022026', 'map_nb_amount': {0: 20, 1: 9, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 110.00000357627869, 1: 151.00205326080322, 2: 38.99898719787598, 3: 0, 4: 0}, 'duration': 189.00002312660217, 'nb_balles_papier': 0.300001044034958, 'begin_time_port': 'image_11022026_11_44_28_005401m0.jpg 0.11100102090835572 for time 111.00102090835571, id_amount 2 this amount prod time diff : 0.11100102090835572'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.300001044034958
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 !
result_one_balle_Type_emr:{'day': '11022026', 'map_nb_amount': {0: 7, 1: 6, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 121.00097966194153, 1: 39.000234842300415, 2: 44.99799942970276, 3: 0, 4: 0}, 'duration': 165.00126600265503, 'nb_balles_papier': 0.2049992139339447, 'begin_time_port': 'image_11022026_11_53_22_004377m0.jpg 0.08499899196624756 for time 84.99899196624756, id_amount 1 this amount prod time diff : 0.08499899196624756'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.2049992139339447
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
hashtag non trouvé !
hashtag non trouvé !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
result_one_balle_Type_emr:{'day': '11022026', 'map_nb_amount': {0: 7, 1: 6, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 121.00097966194153, 1: 39.000234842300415, 2: 44.99799942970276, 3: 0, 4: 0}, 'duration': 165.00126600265503, 'nb_balles_papier': 0.2049992139339447, 'begin_time_port': 'image_11022026_11_53_22_004377m0.jpg 0.08499899196624756 for time 84.99899196624756, id_amount 1 this amount prod time diff : 0.08499899196624756'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.2049992139339447
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 !
hashtag non trouvé !
hashtag non trouvé !
result_one_balle_Type_pehd_pp:{'day': '11022026', 'map_nb_amount': {0: 15, 1: 18, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 72.99605894088745, 1: 101.00155591964722, 2: 6.001403093338013, 3: 0, 4: 0}, 'duration': 179.99901795387268, 'nb_balles_papier': 0.1809990179538727, 'begin_time_port': 'image_11022026_12_01_12_005389m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.1809990179538727
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 !
result_one_balle_Type_flux_dev:{'day': '11022026', 'map_nb_amount': {0: 15, 1: 15, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 140.99381399154663, 1: 79.00624203681946, 2: 0, 3: 0, 4: 0}, 'duration': 220.0000560283661, 'nb_balles_papier': 0.22100005602836612, 'begin_time_port': 'image_11022026_12_10_23_005385m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.22100005602836612
We filter photos on hashtag condition !
hashtag non trouvé !
hashtag non trouvé !
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 !
hashtag non trouvé !
hashtag non trouvé !
We filter photos on hashtag condition !
result_one_balle_Type_pet_clair:{'day': '11022026', 'map_nb_amount': {0: 5, 1: 7, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 23.9990291595459, 1: 35.999979972839355, 2: 105.00003790855408, 3: 0, 4: 0}, 'duration': 64.99900603294373, 'nb_balles_papier': 0.1649990470409393, 'begin_time_port': 'image_11022026_12_19_18_005421m0.jpg 0.1000000410079956 for time 100.0000410079956, id_amount 3 this amount prod time diff : 0.1000000410079956'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.1649990470409393
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We have rejected 12 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 13
list_same_port_ids : [30362654]


 find same portfolio which already exist 30362654 , we will use it
list_same_port_ids : [30362769]


 find same portfolio which already exist 30362769 , we will use it
list_same_port_ids : [30363346]


 find same portfolio which already exist 30363346 , we will use it
list_same_port_ids : [30363346]


 find same portfolio which already exist 30363346 , we will use it
list_same_port_ids : [30363347]


 find same portfolio which already exist 30363347 , we will use it
list_same_port_ids : [30363348]


 find same portfolio which already exist 30363348 , we will use it
list_same_port_ids : [30363569]


 find same portfolio which already exist 30363569 , we will use it
list_same_port_ids : [30363570]


 find same portfolio which already exist 30363570 , we will use it
list_same_port_ids : [30363571]


 find same portfolio which already exist 30363571 , we will use it
list_same_port_ids : [30363571]


 find same portfolio which already exist 30363571 , we will use it
list_same_port_ids : [30363572]


 find same portfolio which already exist 30363572 , we will use it
list_same_port_ids : [30363573]


 find same portfolio which already exist 30363573 , we will use it
list_same_port_ids : [30363574]


 find same portfolio which already exist 30363574 , we will use it
Qualite : 0.06175860599083031
# 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 !
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`=30362654 AND  mptpi.`type`=4205
To do
Qualite : 0.13507351012603136
# 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 !
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`=30362769 AND  mptpi.`type`=3327
To do
Qualite : 0.10156584386999683
# 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 !
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`=30363346 AND  mptpi.`type`=4207
To do
Qualite : 0.10156584386999683
# 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 !
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`=30363346 AND  mptpi.`type`=4207
To do
Qualite : 0.09546837142161436
# 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 !
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`=30363347 AND  mptpi.`type`=3726
To do
Qualite : 0.0731011388964852
# 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 !
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`=30363348 AND  mptpi.`type`=4211
To do
Qualite : 0.22641991697331126
# 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 !
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`=30363569 AND  mptpi.`type`=4461
To do
# 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 !
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`=30363570 AND  mptpi.`type`=4211
To do
Qualite : 0.09879380992121983
# 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 !
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`=30363571 AND  mptpi.`type`=4207
To do
Qualite : 0.09879380992121983
# 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 !
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`=30363571 AND  mptpi.`type`=4207
To do
Qualite : 0.07941441851005965
# 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 !
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`=30363572 AND  mptpi.`type`=4211
To do
Qualite : 0.16236849609565981
# 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 !
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`=30363573 AND  mptpi.`type`=4200
To do
Qualite : 0.1303766833794369
# 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 !
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`=30363574 AND  mptpi.`type`=3327
To do
 elapsed_time : count_nb_balles_and_create_portfolio 130.80131244659424
# DISPLAY ALL COLLECTED DATA : 
{'11022026': {'nb_upload': 669, 'nb_taggue_class': 465, 'nb_taggue_densite': 465, 'nb_descriptors': 399, 'number_port': 22, 'count_photo_in_port': 359, 'nb_port_per_class': {'aluminium': {'nb_photos': 25, 'nb_portfolios': 5}, 'ela': {'nb_photos': 1, 'nb_portfolios': 1}, 'emr': {'nb_photos': 40, 'nb_portfolios': 2}, 'film_pedb': {'nb_photos': 30, 'nb_portfolios': 3}, 'flux_dev': {'nb_photos': 30, 'nb_portfolios': 1}, 'jrm': {'nb_photos': 69, 'nb_portfolios': 4}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 97, 'nb_portfolios': 3}, 'pet_clair': {'nb_photos': 67, 'nb_portfolios': 2}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}}
Inside saveOutput : final : True verbose : 0
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1407595589, 1407595557, 1407595520, 1407595485, 1407595174, 1407595173, 1407595172, 1407595171, 1407595168, 1407595165, 1407595161, 1407595160, 1407595159, 1407595158, 1407595157, 1407595156, 1407595154, 1407595153, 1407595152, 1407595151, 1407595150, 1407595149, 1407595146, 1407595145, 1407595144, 1407595143, 1407595142, 1407595141, 1407595140, 1407595139, 1407595138, 1407595137, 1407595136, 1407595134, 1407595133, 1407595132, 1407595131, 1407595129, 1407595127, 1407595126, 1407595125, 1407595124, 1407595123, 1407595121, 1407595120, 1407595119, 1407595118, 1407595117, 1407595116, 1407595115, 1407595114, 1407595113, 1407595112, 1407595111, 1407595110, 1407595107, 1407595106, 1407595105, 1407595104, 1407595103, 1407595102, 1407595014, 1407594993, 1407594962, 1407594927, 1407594915, 1407594905, 1407594898, 1407594866, 1407594834, 1407594802, 1407594786, 1407594785, 1407594784, 1407594783, 1407594782, 1407594781, 1407594779, 1407594778, 1407594777, 1407594776, 1407594775, 1407594774, 1407594772, 1407594771, 1407594770, 1407594769, 1407594767, 1407594766, 1407594764, 1407594762, 1407594761, 1407594760, 1407594759, 1407594758, 1407594497, 1407594449, 1407594424, 1407594324, 1407594308]
Looping around the photos to save general results
len do output : 1
/30360684Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f5600d22f10>
Managing all output in save final without adding information in the mtr_datou_result 
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595589', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595557', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595520', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595485', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595174', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595173', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595172', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595171', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595168', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595165', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595161', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595160', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595159', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595158', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595157', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595156', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595154', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595153', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595152', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595151', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595150', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595149', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595146', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595145', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595144', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595143', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595142', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595141', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595140', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595139', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595138', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595137', None, None, None, None, None, '4342732')
('4891', None, None, None, None, None, None, None, '4342732')
('4891', '30360684', '1407595136', None, None, None, None, None, '4342732')
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begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 101
time used for this insertion : 0.04991006851196289
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 152.8223419189453
time spend to save output : 0.08936905860900879
total time spend for step 1 : 152.91171097755432

caffe_path_current : 
About to save ! 2
After save, about to update current !
ret : 2
len(input) + len(total_photo_id_missing) : 1
 set_done_treatment 
3.12user 1.46system 2:36.70elapsed 2%CPU (0avgtext+0avgdata 114936maxresident)k
205688inputs+3760outputs (6769major+74623minor)pagefaults 0swaps