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 : 1255278 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 : ['2891258'] with mtr_portfolio_ids : ['23102414'] and first list_photo_ids : [] new path : /proc/1255278/ 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 : 0.06753206253051758 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon May 19 10:30:29 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec 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'}] (('06', 137), ('07', 148), ('08', 160), ('09', 192), ('10', 130)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 600} 19052025 23102414 Nombre de photos uploadées : 767 / 23040 (3%) 19052025 23102414 Nombre de photos taguées (types de déchets): 600 / 767 (78%) 19052025 23102414 Nombre de photos taguées (volume) : 600 / 767 (78%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0002205371856689453 ??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.07007336616516113 elapsed_time : insert_dashboard_record_day_entry 0.030711650848388672 Creating list_photo_total elapsed_time : select_descriptors 26.402436017990112 19052025 23102414 Nombre de photos avec descriptors (type 6092) : 573 / 665 (86%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1359278040 photo_id_prec : 0 0:00:00|ON:0:24:29.998377|OFF:0:00:10.001149|ON:0:00:59.998852|OFF:0:00:10.001524|ON:0:01:20.999660|OFF:0:00:19.000031|ON:Missing descriptors for photos 1359279372 and 1359279470 Missing descriptors for photos 1359279470 and 1359279564 Missing descriptors for photos 1359279564 and 1359279590 0:19:50.000094|OFF:0:00:20.999816|ON:0:07:39.000098|OFF:0:00:09.999950|ON:Missing descriptors for photos 1359280561 and 1359280687 Missing descriptors for photos 1359280919 and 1359280962 Missing descriptors for photos 1359280962 and 1359281083 Missing descriptors for photos 1359281323 and 1359281380 Missing descriptors for photos 1359281380 and 1359281436 Missing descriptors for photos 1359281436 and 1359281494 0:32:59.999061|OFF:0:00:10.001163|ON:Missing descriptors for photos 1359282191 and 1359282102 Missing descriptors for photos 1359282102 and 1359282221 Missing descriptors for photos 1359282221 and 1359282272 Missing descriptors for photos 1359282632 and 1359283052 Missing descriptors for photos 1359283052 and 1359283056 Missing descriptors for photos 1359283056 and 1359283241 Missing descriptors for photos 1359283241 and 1359283214 0:25:19.998530|OFF:0:00:10.001416|ON:0:00:50.999863|OFF:0:00:08.998710|ON:Missing descriptors for photos 1359283490 and 1359283492 Missing descriptors for photos 1359283492 and 1359283552 Missing descriptors for photos 1359283552 and 1359283586 Missing descriptors for photos 1359283586 and 1359283589 0:06:10.001265|OFF:0:00:20.000039|ON:0:02:49.998688|OFF:0:00:20.001360|ON:Missing descriptors for photos 1359283974 and 1359283913 Missing descriptors for photos 1359283913 and 1359283977 Missing descriptors for photos 1359283977 and 1359283979 Missing descriptors for photos 1359283979 and 1359283984 Missing descriptors for photos 1359283984 and 1359284014 Missing descriptors for photos 1359284014 and 1359284047 0:10:40.999864|OFF:0:00:30.000024|ON:Missing descriptors for photos 1359284263 and 1359284204 Missing descriptors for photos 1359284204 and 1359284356 Missing descriptors for photos 1359284356 and 1359284390 Missing descriptors for photos 1359284390 and 1359284428 Missing descriptors for photos 1359284428 and 1359284433 Missing descriptors for photos 1359285128 and 1359285153 Missing descriptors for photos 1359285153 and 1359285176 Missing descriptors for photos 1359285176 and 1359285180 0:31:08.999999|OFF:0:00:11.000026|ON:Missing descriptors for photos 1359285279 and 1359285322 Missing descriptors for photos 1359285322 and 1359285324 Missing descriptors for photos 1359285324 and 1359287998 Missing descriptors for photos 1359287998 and 1359288187 0:17:18.999960|OFF:0:00:09.999169|ON:Missing descriptors for photos 1359290105 and 1359290136 Missing descriptors for photos 1359290136 and 1359290715 Missing descriptors for photos 1359291323 and 1359291481 0:17:11.000826|OFF:0:00:08.998824|ON:Missing descriptors for photos 1359294791 and 1359294802 Missing descriptors for photos 1359294802 and 1359295464 Missing descriptors for photos 1359295464 and 1359295080 Missing descriptors for photos 1359296804 and 1359296817 Missing descriptors for photos 1359296817 and 1359296855 Missing descriptors for photos 1359296855 and 1359297022 Missing descriptors for photos 1359297022 and 1359297024 Missing descriptors for photos 1359297024 and 1359297026 Missing descriptors for photos 1359297026 and 1359297031 Missing descriptors for photos 1359297031 and 1359297037 Missing descriptors for photos 1359297037 and 1359297069 Missing descriptors for photos 1359297069 and 1359297073 Missing descriptors for photos 1359297073 and 1359297075 Missing descriptors for photos 1359297075 and 1359297154 Missing descriptors for photos 1359297154 and 1359297160 Missing descriptors for photos 1359297160 and 1359297296 Missing descriptors for photos 1359297296 and 1359297164 Missing descriptors for photos 1359297164 and 1359297609 Missing descriptors for photos 1359297609 and 1359297640 Missing descriptors for photos 1359297640 and 1359298574 Missing descriptors for photos 1359298574 and 1359298663 Missing descriptors for photos 1359298663 and 1359298753 Missing descriptors for photos 1359298753 and 1359299678 Missing descriptors for photos 1359303046 and 1359303056 Missing descriptors for photos 1359303056 and 1359303058 Missing descriptors for photos 1359303058 and 1359303144 Missing descriptors for photos 1359303144 and 1359303177 Missing descriptors for photos 1359303177 and 1359303182 Missing descriptors for photos 1359303182 and 1359303187 Missing descriptors for photos 1359303187 and 1359303190 Missing descriptors for photos 1359303190 and 1359303217 0:32:20.001230|OFF:0:00:10.999991|ON:Missing descriptors for photos 1359305044 and 1359305081 Missing descriptors for photos 1359305081 and 1359305629 Missing descriptors for photos 1359305629 and 1359305712 Missing descriptors for photos 1359305712 and 1359305772 Missing descriptors for photos 1359305772 and 1359306523 Missing descriptors for photos 1359306523 and 1359305830 Missing descriptors for photos 1359305830 and 1359306617 0:07:50.000085|OFF:0:00:19.000210|ON:0:02:29.998680|OFF:0:00:20.001149|ON: WARNING condition_same_param while we were looking loading descriptors Missing descriptors for photos 1359312129 and 1359312158 Missing descriptors for photos 1359312158 and 1359312443 Missing descriptors for photos 1359312443 and 1359312465 Missing descriptors for photos 1359312465 and 1359312467 Missing descriptors for photos 1359312467 and 1359312494 Missing descriptors for photos 1359312494 and 1359312506 Missing descriptors for photos 1359312506 and 1359312525 Missing descriptors for photos 1359312525 and 1359312528 Missing descriptors for photos 1359312528 and 1359312530 Missing descriptors for photos 1359312530 and 1359312535 Missing descriptors for photos 1359312535 and 1359312644 Missing descriptors for photos 1359312644 and 1359312646 Missing descriptors for photos 1359312646 and 1359312651 Missing descriptors for photos 1359312651 and 1359312656 Missing descriptors for photos 1359312656 and 1359312659 Missing descriptors for photos 1359312659 and 1359312662 Missing descriptors for photos 1359312662 and 1359312673 Missing descriptors for photos 1359312673 and 1359312674 Missing descriptors for photos 1359312674 and 1359312675 Missing descriptors for photos 1359312675 and 1359312680 Missing descriptors for photos 1359312680 and 1359312684 Missing descriptors for photos 1359312684 and 1359312687 Missing descriptors for photos 1359312687 and 1359312839 Missing descriptors for photos 1359312839 and 1359312841 Missing descriptors for photos 1359312841 and 1359312858 Missing descriptors for photos 1359312858 and 1359312879 Missing descriptors for photos 1359312879 and 1359313260 Missing descriptors for photos 1359313260 and 1359313289 Missing descriptors for photos 1359313289 and 1359313292 Missing descriptors for photos 1359313292 and 1359313303 Missing descriptors for photos 1359313303 and 1359313333 Missing descriptors for photos 1359313333 and 1359313337 Missing descriptors for photos 1359313337 and 1359313341 Missing descriptors for photos 1359313341 and 1359313342 Missing descriptors for photos 1359313342 and 1359313343 Missing descriptors for photos 1359313343 and 1359313346 Missing descriptors for photos 1359313346 and 1359313368 Missing descriptors for photos 1359313368 and 1359313391 Missing descriptors for photos 1359313391 and 1359313396 Missing descriptors for photos 1359313396 and 1359313405 Missing descriptors for photos 1359313405 and 1359313410 Missing descriptors for photos 1359313410 and 1359313413 Missing descriptors for photos 1359313413 and 1359313485 Missing descriptors for photos 1359313485 and 1359313486 Missing descriptors for photos 1359313486 and 1359313487 Missing descriptors for photos 1359313487 and 1359313491 Missing descriptors for photos 1359313491 and 1359313502 Missing descriptors for photos 1359313502 and 1359313506 Missing descriptors for photos 1359313506 and 1359313517 Missing descriptors for photos 1359313517 and 1359313518 Missing descriptors for photos 1359313518 and 1359313519 Missing descriptors for photos 1359313519 and 1359313522 Missing descriptors for photos 1359313522 and 1359313543 Missing descriptors for photos 1359313543 and 1359313570 Missing descriptors for photos 1359313570 and 1359313628 Missing descriptors for photos 1359313628 and 1359313629 Missing descriptors for photos 1359313629 and 1359313630 Missing descriptors for photos 1359313630 and 1359313634 Missing descriptors for photos 1359313634 and 1359313637 Missing descriptors for photos 1359313637 and 1359313851 Missing descriptors for photos 1359313851 and 1359313879 Missing descriptors for photos 1359313879 and 1359313905 Missing descriptors for photos 1359313905 and 1359313936 Missing descriptors for photos 1359313936 and 1359314231 Missing descriptors for photos 1359314231 and 1359314273 Missing descriptors for photos 1359314273 and 1359314394 Missing descriptors for photos 1359314394 and 1359314396 Missing descriptors for photos 1359314396 and 1359314412 Missing descriptors for photos 1359314412 and 1359314444 Missing descriptors for photos 1359314444 and 1359314570 Missing descriptors for photos 1359314570 and 1359314574 Missing descriptors for photos 1359314574 and 1359314603 Missing descriptors for photos 1359314603 and 1359314634 Missing descriptors for photos 1359314634 and 1359314665 Missing descriptors for photos 1359314665 and 1359314693 Missing descriptors for photos 1359314693 and 1359314842 Missing descriptors for photos 1359314842 and 1359314873 Missing descriptors for photos 1359314873 and 1359314887 Missing descriptors for photos 1359314887 and 1359314905 Missing descriptors for photos 1359314905 and 1359314907 Missing descriptors for photos 1359314907 and 1359314909 Missing descriptors for photos 1359314909 and 1359315001 Missing descriptors for photos 1359315001 and 1359315003 Missing descriptors for photos 1359315003 and 1359315004 Missing descriptors for photos 1359315004 and 1359315006 Missing descriptors for photos 1359315006 and 1359315131 Missing descriptors for photos 1359315131 and 1359315163 Missing descriptors for photos 1359315163 and 1359315191 Missing descriptors for photos 1359315191 and 1359315229 Missing descriptors for photos 1359315229 and 1359315260 Missing descriptors for photos 1359315260 and 1359315288 19052025 Removing 21 photos because of the 'same image' condition Total on : 14490.995131999998 list_time_on Total off : 249.00455100000002 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 767 time used for this insertion : 0.294389009475708 photos_removed : len 21 elapsed_time : remove_photo_duplicate 0.47703099250793457 Creating list_photo_total XXXXXXXXXXXXXXXXWarning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of 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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image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff 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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 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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 ERROR ! 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ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.1685035228729248 Total photos : 767 ..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 : 616987804 photo_id =1359279592 : emr ......................can't find max_score_info .Change port : 22 hashtag : 2107755846 photo_id =1359279890 : pet_clair .................can't find max_score_info ......can't find max_score_info .Change port : 22 hashtag : 560181804 photo_id =1359280114 : pcm ..............can't find max_score_info ..............can't find max_score_info .can't find max_score_info .Change port : 27 hashtag : 2107760239 photo_id =1359280688 : pehd_pp .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 : 23 hashtag : 616987804 photo_id =1359281086 : 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 : 25 hashtag : 538914404 photo_id =1359281500 : refus .............................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 : 33 hashtag : 2107755846 photo_id =1359282275 : pet_clair .....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 : 19 hashtag : 1284539308 photo_id =1359283243 : pcnc ...........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 : 22 hashtag : 2107760237 photo_id =1359283590 : 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 .Change port : 43 hashtag : 616987804 photo_id =1359284049 : 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 .can't find max_score_info .can't find max_score_info .Change port : 23 hashtag : 2107755846 photo_id =1359284437 : pet_clair ........................can't find max_score_info .Change port : 24 hashtag : 2107760239 photo_id =1359284762 : pehd_pp ........................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 : 24 hashtag : 495916461 photo_id =1359285184 : 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 .can't find max_score_info .can't find max_score_info .Change port : 17 hashtag : 616987804 photo_id =1359288337 : 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 : 21 hashtag : 2107755846 photo_id =1359290737 : pet_clair .....................can't find max_score_info .can't find max_score_info .Change port : 21 hashtag : 538914404 photo_id =1359291778 : refus ............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 : 33 hashtag : 2107760239 photo_id =1359295496 : pehd_pp ...................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 : 19 hashtag : 2107755846 photo_id =1359299740 : pet_clair .......................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 : 23 hashtag : 560181804 photo_id =1359303221 : pcm ..............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 : 24 hashtag : 2107760237 photo_id =1359307356 : film_pedb ...........can't find max_score_info .can't find max_score_info ..... Total photos : 767 Number of lists : 21 counter photos in port : 482 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 91 photos in 4 portfolios ! hashtag : film_pedb(2107760237) : 60 photos in 3 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 17 photos in 1 portfolios ! hashtag : pcm(560181804) : 51 photos in 2 portfolios ! hashtag : pcnc(1284539308) : 22 photos in 1 portfolios ! hashtag : pehd_pp(2107760239) : 66 photos in 3 portfolios ! hashtag : pet_clair(2107755846) : 109 photos in 5 portfolios ! hashtag : refus(538914404) : 66 photos in 2 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.024192333221435547 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 3.814697265625e-06 Unexpected type of data : ({'photo_id': 1359278040, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/138f27217ccc151bfc699cf5d6df630c.jpg', 'username': None, 'uploaded_at': 1747627284, 'text': 'image_19052025_06_00_15_10742.jpg', 'time': 1747634415.010742}, 'different') Unexpected type of data : ({'photo_id': 1359278043, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/aabca8aa69afee7f5bdb31a0a409fde7.jpg', 'username': None, 'uploaded_at': 1747627284, 'text': 'image_19052025_06_00_26_10272.jpg', 'time': 1747634426.010272}, 'different') Unexpected type of data : ({'photo_id': 1359278046, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/baeabe73b18a926e2f9130941a5ce739.jpg', 'username': None, 'uploaded_at': 1747627284, 'text': 'image_19052025_06_00_35_9071.jpg', 'time': 1747634435.009071}, 'different') Unexpected type of data : ({'photo_id': 1359278048, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/c16ba1428f1831892a50b8b5f8e0fba2.jpg', 'username': None, 'uploaded_at': 1747627284, 'text': 'image_19052025_06_00_45_10259.jpg', 'time': 1747634445.010259}, 'different') Unexpected type of data : ({'photo_id': 1359278066, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/f986d0300ec582f19a4abe76e4f62840.jpg', 'username': None, 'uploaded_at': 1747627342, 'text': 'image_19052025_06_00_55_10259.jpg', 'time': 1747634455.010259}, 'different') Unexpected type of data : ({'photo_id': 1359278068, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/962090f6f439831646553866ca357164.jpg', 'username': None, 'uploaded_at': 1747627342, 'text': 'image_19052025_06_01_06_10414.jpg', 'time': 1747634466.010414}, 'different') Unexpected type of data : ({'photo_id': 1359278069, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/257759beae094759adbe2f5195ae1f14.jpg', 'username': None, 'uploaded_at': 1747627342, 'text': 'image_19052025_06_01_15_9355.jpg', 'time': 1747634475.009355}, 'different') Unexpected type of data : ({'photo_id': 1359278316, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d4f899f3a5e8ca4089ff91c3651576d8.jpg', 'username': None, 'uploaded_at': 1747628002, 'text': 'image_19052025_06_01_25_10308.jpg', 'time': 1747634485.010308}, 'different') Unexpected type of data : ({'photo_id': 1359278078, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/76a5259682852f746c12da152c4a64d3.jpg', 'username': None, 'uploaded_at': 1747627383, 'text': 'image_19052025_06_02_15_9137.jpg', 'time': 1747634535.009137}, 'different') Unexpected type of data : ({'photo_id': 1359278282, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b9fac01643e04816ecdbdc90708816cc.jpg', 'username': None, 'uploaded_at': 1747627923, 'text': 'image_19052025_06_11_25_10361.jpg', 'time': 1747635085.010361}, 'different') Unexpected type of data : ({'photo_id': 1359278383, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/c9f6157a75c5d3c913df026ed04c99cf.jpg', 'username': None, 'uploaded_at': 1747628122, 'text': 'image_19052025_06_12_36_10309.jpg', 'time': 1747635156.010309}, 'different') Unexpected type of data : ({'photo_id': 1359278431, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b70c0262a0c840cda1e8a34226eb59df.jpg', 'username': None, 'uploaded_at': 1747628182, 'text': 'image_19052025_06_14_06_10511.jpg', 'time': 1747635246.010511}, 'different') Unexpected type of data : ({'photo_id': 1359278872, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/6e8b32fe44d37a76858ee4d735746c46.jpg', 'username': None, 'uploaded_at': 1747628663, 'text': 'image_19052025_06_15_56_10343.jpg', 'time': 1747635356.010343}, 'different') Unexpected type of data : ({'photo_id': 1359278749, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/db5f964c70cd20f4841b48b1f40117e4.jpg', 'username': None, 'uploaded_at': 1747628463, 'text': 'image_19052025_06_20_35_9117.jpg', 'time': 1747635635.009117}, 'different') Unexpected type of data : ({'photo_id': 1359278875, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/79890ca5cdc3ef30f1972fd5faee08be.jpg', 'username': None, 'uploaded_at': 1747628663, 'text': 'image_19052025_06_23_15_10417.jpg', 'time': 1747635795.010417}, 'different') Unexpected type of data : ({'photo_id': 1359278877, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/a1faa2f2c6fec48b4d5b5f7c258c0895.jpg', 'username': None, 'uploaded_at': 1747628663, 'text': 'image_19052025_06_23_26_10290.jpg', 'time': 1747635806.01029}, 'different') Unexpected type of data : ({'photo_id': 1359278879, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ae83dc7e2e845f59ab1a2da7bddcb5a0.jpg', 'username': None, 'uploaded_at': 1747628663, 'text': 'image_19052025_06_23_35_9032.jpg', 'time': 1747635815.009032}, 'different') Unexpected type of data : ({'photo_id': 1359278882, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b5a34a4629316a57cd7ce411c8d2ca07.jpg', 'username': None, 'uploaded_at': 1747628663, 'text': 'image_19052025_06_23_45_10495.jpg', 'time': 1747635825.010495}, 'different') Unexpected type of data : ({'photo_id': 1359278968, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/6ceef1f8096d89b9ae11dc8134b9227f.jpg', 'username': None, 'uploaded_at': 1747628723, 'text': 'image_19052025_06_23_55_10268.jpg', 'time': 1747635835.010268}, 'different') Unexpected type of data : ({'photo_id': 1359278971, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/099acf6ddd76110d45c83b1c6844add1.jpg', 'username': None, 'uploaded_at': 1747628723, 'text': 'image_19052025_06_24_05_9248.jpg', 'time': 1747635845.009248}, 'different') Unexpected type of data : ({'photo_id': 1359278974, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ac55cc7ca33a341a80693673a7daac64.jpg', 'username': None, 'uploaded_at': 1747628723, 'text': 'image_19052025_06_24_15_10299.jpg', 'time': 1747635855.010299}, 'different') Unexpected type of data : ({'photo_id': 1359278978, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/261956b69195f883c6700f6c90c41ebe.jpg', 'username': None, 'uploaded_at': 1747628723, 'text': 'image_19052025_06_24_25_10278.jpg', 'time': 1747635865.010278}, 'different') Unexpected type of data : ({'photo_id': 1359278981, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ce22295ca0158d33d8df5f72a84390a6.jpg', 'username': None, 'uploaded_at': 1747628723, 'text': 'image_19052025_06_24_36_10385.jpg', 'time': 1747635876.010385}, 'different') Unexpected type of data : ({'photo_id': 1359278984, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/a84f7de3388b0e905f24bc7d8bfad3ab.jpg', 'username': None, 'uploaded_at': 1747628723, 'text': 'image_19052025_06_24_45_9119.jpg', 'time': 1747635885.009119}, 'duplicate') Unexpected type of data : ({'photo_id': 1359279097, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/44956c4aa1c95e291b44a2863d4389b7.jpg', 'username': None, 'uploaded_at': 1747628783, 'text': 'image_19052025_06_24_55_10268.jpg', 'time': 1747635895.010268}, 'different') Unexpected type of data : ({'photo_id': 1359279100, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/f73bfa11f0b696cfb77e7343b49181f8.jpg', 'username': None, 'uploaded_at': 1747628783, 'text': 'image_19052025_06_25_06_10517.jpg', 'time': 1747635906.010517}, 'different') Unexpected type of data : ({'photo_id': 1359279103, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/c6ab90833e0b98c08873fc16b4618a9e.jpg', 'username': None, 'uploaded_at': 1747628783, 'text': 'image_19052025_06_25_15_9096.jpg', 'time': 1747635915.009096}, 'different') Unexpected type of data : ({'photo_id': 1359279105, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/826b65045c4bc3050c7911a1e9b48f0f.jpg', 'username': None, 'uploaded_at': 1747628783, 'text': 'image_19052025_06_25_25_10245.jpg', 'time': 1747635925.010245}, 'different') Unexpected type of data : ({'photo_id': 1359279107, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b47064e34225222b65d4a42e1617a6f5.jpg', 'username': None, 'uploaded_at': 1747628783, 'text': 'image_19052025_06_25_35_10264.jpg', 'time': 1747635935.010264}, 'different') Unexpected type of data : ({'photo_id': 1359279109, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/fe070775a34355a9c9eb65f0da50e74b.jpg', 'username': None, 'uploaded_at': 1747628783, 'text': 'image_19052025_06_25_45_10254.jpg', 'time': 1747635945.010254}, 'different') Unexpected type of data : ({'photo_id': 1359279132, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/8c36fe1a61ae894a436b407feec0a57f.jpg', 'username': None, 'uploaded_at': 1747628843, 'text': 'image_19052025_06_25_55_9120.jpg', 'time': 1747635955.00912}, 'duplicate') Unexpected type of data : ({'photo_id': 1359279142, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/e81cacee409cd48457078927370d2522.jpg', 'username': None, 'uploaded_at': 1747628843, 'text': 'image_19052025_06_26_05_10644.jpg', 'time': 1747635965.010644}, 'different') Unexpected type of data : ({'photo_id': 1359279152, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/8f3e71a8a17a95d03b12f7410955dc67.jpg', 'username': None, 'uploaded_at': 1747628843, 'text': 'image_19052025_06_26_16_10358.jpg', 'time': 1747635976.010358}, 'different') Unexpected type of data : ({'photo_id': 1359279155, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/dc6c156162e88e9aafac4e01ce455047.jpg', 'username': None, 'uploaded_at': 1747628843, 'text': 'image_19052025_06_26_25_9064.jpg', 'time': 1747635985.009064}, 'different') Unexpected type of data : ({'photo_id': 1359279157, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/e1cbd64bbcdf11f0d25254dc2854f4ea.jpg', 'username': None, 'uploaded_at': 1747628843, 'text': 'image_19052025_06_26_35_10371.jpg', 'time': 1747635995.010371}, 'different') Unexpected type of data : ({'photo_id': 1359279160, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/95a0f10cb52a173a1fe56f2a4d743417.jpg', 'username': None, 'uploaded_at': 1747628843, 'text': 'image_19052025_06_26_45_10350.jpg', 'time': 1747636005.01035}, 'different') Unexpected type of data : ({'photo_id': 1359279232, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/f0ee62e364e99441e2fa5a4a10bc2187.jpg', 'username': None, 'uploaded_at': 1747628902, 'text': 'image_19052025_06_26_56_10363.jpg', 'time': 1747636016.010363}, 'different') Unexpected type of data : ({'photo_id': 1359279236, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ebf1ae815d57eb776b76d097db1f6dcd.jpg', 'username': None, 'uploaded_at': 1747628902, 'text': 'image_19052025_06_27_05_9323.jpg', 'time': 1747636025.009323}, 'different') Unexpected type of data : ({'photo_id': 1359279239, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/a1e8f66e39cd35d33e2aa87b8d249a0b.jpg', 'username': None, 'uploaded_at': 1747628902, 'text': 'image_19052025_06_27_15_10357.jpg', 'time': 1747636035.010357}, 'different') Unexpected type of data : ({'photo_id': 1359279241, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/5498c66f8f07e8d705f1cb9e8db526f9.jpg', 'username': None, 'uploaded_at': 1747628902, 'text': 'image_19052025_06_27_26_10304.jpg', 'time': 1747636046.010304}, 'duplicate') Unexpected type of data : ({'photo_id': 1359279244, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/0ae2538257663b1f54ccffdb384a4eac.jpg', 'username': None, 'uploaded_at': 1747628902, 'text': 'image_19052025_06_27_45_10335.jpg', 'time': 1747636065.010335}, 'different') Unexpected type of data : ({'photo_id': 1359279278, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d166e34d7f343e425d89034f2a9eb946.jpg', 'username': None, 'uploaded_at': 1747628982, 'text': 'image_19052025_06_27_56_10354.jpg', 'time': 1747636076.010354}, 'different') Unexpected type of data : ({'photo_id': 1359279282, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/8982f66a881d2c31323fc72241ca33e9.jpg', 'username': None, 'uploaded_at': 1747628982, 'text': 'image_19052025_06_28_05_9472.jpg', 'time': 1747636085.009472}, 'different') Unexpected type of data : ({'photo_id': 1359279286, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/87d90b7d0fe5abc2a58f511636febebf.jpg', 'username': None, 'uploaded_at': 1747628982, 'text': 'image_19052025_06_28_15_10306.jpg', 'time': 1747636095.010306}, 'different') Unexpected type of data : ({'photo_id': 1359279288, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/56fe40e0f80eeda6966ae899362a192c.jpg', 'username': None, 'uploaded_at': 1747628982, 'text': 'image_19052025_06_28_26_10394.jpg', 'time': 1747636106.010394}, 'different') Unexpected type of data : ({'photo_id': 1359279293, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/125d967c03dd84b67f7597bc7f75fdfd.jpg', 'username': None, 'uploaded_at': 1747628982, 'text': 'image_19052025_06_28_35_9083.jpg', 'time': 1747636115.009083}, 'different') Unexpected type of data : ({'photo_id': 1359279298, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/721375a0f18da3eac6258f3f95a7f435.jpg', 'username': None, 'uploaded_at': 1747628982, 'text': 'image_19052025_06_28_45_10259.jpg', 'time': 1747636125.010259}, 'different') Unexpected type of data : ({'photo_id': 1359279314, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/8ef3e6a9d20607b997d1d4e4371d8e0e.jpg', 'username': None, 'uploaded_at': 1747629042, 'text': 'image_19052025_06_28_55_10446.jpg', 'time': 1747636135.010446}, 'different') Unexpected type of data : ({'photo_id': 1359279316, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/84bafced6e97de563038f9f40e9f3083.jpg', 'username': None, 'uploaded_at': 1747629042, 'text': 'image_19052025_06_29_05_9483.jpg', 'time': 1747636145.009483}, 'different') Unexpected type of data : ({'photo_id': 1359279319, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/99bf366a1847e467b9b6ce4e40ca09a4.jpg', 'username': None, 'uploaded_at': 1747629042, 'text': 'image_19052025_06_29_15_10379.jpg', 'time': 1747636155.010379}, 'different') Unexpected type of data : ({'photo_id': 1359279323, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/2b5f1e170f528491eb2c7abd04907a0b.jpg', 'username': None, 'uploaded_at': 1747629042, 'text': 'image_19052025_06_29_26_10262.jpg', 'time': 1747636166.010262}, 'different') Unexpected type of data : ({'photo_id': 1359279326, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/150a2218fe2133dda921fdb52768d494.jpg', 'username': None, 'uploaded_at': 1747629042, 'text': 'image_19052025_06_29_35_9032.jpg', 'time': 1747636175.009032}, 'different') Unexpected type of data : ({'photo_id': 1359279330, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/2e71fb26a9dc9f3c6c113301539aeb2a.jpg', 'username': None, 'uploaded_at': 1747629042, 'text': 'image_19052025_06_29_45_10311.jpg', 'time': 1747636185.010311}, 'different') Unexpected type of data : ({'photo_id': 1359279339, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/f315313a8b51823a3abe89a7d44dde9c.jpg', 'username': None, 'uploaded_at': 1747629084, 'text': 'image_19052025_06_29_55_10272.jpg', 'time': 1747636195.010272}, 'different') Unexpected type of data : ({'photo_id': 1359279342, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/13580834f891b9b8dc8b8f64be34d4e3.jpg', 'username': None, 'uploaded_at': 1747629084, 'text': 'image_19052025_06_30_05_9359.jpg', 'time': 1747636205.009359}, 'different') Unexpected type of data : ({'photo_id': 1359279345, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/4819b18291888309e7fd148c418c2a88.jpg', 'username': None, 'uploaded_at': 1747629084, 'text': 'image_19052025_06_30_15_10279.jpg', 'time': 1747636215.010279}, 'different') today str has not a value , we define it as the date of the first image todaystr_first : 19052025 attention , prev_timestamp is 0 , we do nothing **** BIG TIME 301.0002131462097 (221.00009894371033, 2, 0, 0, 0.43075663, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.05499988598823547, 0.0083, 0.0, 1.9, 0.049998778820037844, -0.06666420658429463) on 22 1359279890 2025-05-19 06:44:46.010488 id_data : 84 * BIG TIME 259.9990129470825 (438.99614906311035, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.89629245, 0, 0, 0.10900000751018524, 0.0107, 0.0010001356840133667, 1.9, 0.2189984872341156, -0.36666859189669293) on 43 1359280114 2025-05-19 06:53:05.009366 id_data : 108 * BIG TIME 209.99879503250122 (729.996994972229, 6, 0, 0, 0, 0, 0, 0, 0.76203024, 0, 0, 0, 0, 0, 0.16599988570213317, 0.0136, 0.0020002620935440064, 1.9, 0.08999883699417113, -0.13333122849464416) on 69 1359280687 2025-05-19 07:01:45.009171 id_data : 137 * BIG TIME 209.99992609024048 (729.996994972229, 6, 0, 0, 0, 0, 0, 0, 0.76203024, 0, 0, 0, 0, 0, 0.16599988570213317, 0.0136, 0.0020002620935440064, 1.9, 0.08999883699417113, -0.13333122849464416) on 69 1359280688 2025-05-19 07:05:15.009097 id_data : 138 ** BIG TIME 159.99933910369873 (969.9956359863281, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.254607, 0, 0, 0, 0.23399987568855285, 0.0162, 0.0020002620935440064, 1.9, 0.11899871492385865, -0.18333332816759745) on 91 1359281086 2025-05-19 07:14:05.009731 id_data : 165 **** BIG TIME 209.9987690448761 (1617.9946534633636, 3, 0, 0, 0, 0.34958938, 0, 0, 0, 0, 0, 0, 0, 0, 0.35400000150203703, 0.0228, 0.004000151205062866, 1.9, 0.010001228094100952, -0.0) on 148 1359282102 2025-05-19 07:33:05.009278 id_data : 229 **** BIG TIME 349.9988570213318 (1957.9969856739044, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.73637605, 0, 0, 0.42999993178844453, 0.0252, 0.004000151205062866, 1.9, 0.340000422000885, -0.349998771349589) on 167 1359283056 2025-05-19 07:48:15.009175 id_data : 254 * BIG TIME 181.00004291534424 (1957.9969856739044, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.73637605, 0, 0, 0.42999993178844453, 0.0252, 0.004000151205062866, 1.9, 0.340000422000885, -0.349998771349589) on 167 1359283214 2025-05-19 07:51:26.010386 id_data : 256 ********** BIG TIME 190.00090193748474 (2936.997797727585, 2, 0, 0, 0.3173491, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.6410000050067901, 0.0364, 0.01099985888004303, 1.9, 0.0500012719631195, -0.06666661341985067) on 255 1359284390 2025-05-19 08:22:15.010359 id_data : 367 *** BIG TIME 309.9999780654907 (3206.9986798763275, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.31810853, 0, 0, 0.7090000241041183, 0.0394, 0.01099985888004303, 1.9, 0.24999988913536073, -0.3983336265881856) on 279 1359284762 2025-05-19 08:33:55.009146 id_data : 395 * BIG TIME 289.9990110397339 (3457.0011191368103, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.27104634, 0, 0, 0, 0.7659999236106872, 0.0419, 0.01099985888004303, 1.9, 0.039999207019805916, -0.04833188851674398) on 302 1359285153 2025-05-19 08:43:05.009411 id_data : 420 ***** BIG TIME 590.0012409687042 (3657.0011701583862, 5, 0, 0, 0, 0, 0, 0.37089133, 0, 0, 0, 0, 0, 0, 0.8290000020027161, 0.0441, 0.01199986367225647, 1.9, 0.2000008730888367, -0.333333131869634) on 319 1359288187 2025-05-19 09:00:45.010431 id_data : 445 *** BIG TIME 230.00030493736267 (3939.0020129680634, 2, 0, 0, 0.74617755, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.9319998774051667, 0.0469, 0.01299986207485199, 1.9, 0.049998769998550414, -0.06666600187619527) on 340 1359290737 2025-05-19 09:11:35.009402 id_data : 472 ** BIG TIME 229.99964714050293 (4158.002130031586, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8430085, 0, 0, 0.9891000030994416, 0.0493, 0.01299986207485199, 1.9, 0.22100088596343995, -0.3516666599114736) on 360 1359291778 2025-05-19 09:19:55.010327 id_data : 495 ***************Unexpected type of data : ({'photo_id': 1359310103, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/18ee4a02a93b6176c5d0ce6e12a128df.jpg', 'username': None, 'uploaded_at': 1747641923, 'text': 'image_19052025_10_03_55_10257.jpg', 'time': 1747649035.010257}, 'different') Unexpected type of data : ({'photo_id': 1359310170, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/e315b67a93cf80cde284a4c701fc8fa6.jpg', 'username': None, 'uploaded_at': 1747641923, 'text': 'image_19052025_10_04_05_9484.jpg', 'time': 1747649045.009484}, 'different') Unexpected type of data : ({'photo_id': 1359310209, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/a49171a1282564ac923830e0d12ea6d9.jpg', 'username': None, 'uploaded_at': 1747641923, 'text': 'image_19052025_10_04_15_10315.jpg', 'time': 1747649055.010315}, 'different') Unexpected type of data : ({'photo_id': 1359310252, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/cb2f6b57aefca446a1cda25d47a86a58.jpg', 'username': None, 'uploaded_at': 1747641923, 'text': 'image_19052025_10_04_25_9288.jpg', 'time': 1747649065.009288}, 'different') Unexpected type of data : ({'photo_id': 1359310286, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/290bdb8731f5254337b037d84b499ddb.jpg', 'username': None, 'uploaded_at': 1747641923, 'text': 'image_19052025_10_04_45_10247.jpg', 'time': 1747649085.010247}, 'different') Unexpected type of data : ({'photo_id': 1359310699, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/812557f7ef53dcb2f158ed5d256beb17.jpg', 'username': None, 'uploaded_at': 1747641983, 'text': 'image_19052025_10_04_55_10310.jpg', 'time': 1747649095.01031}, 'different') Unexpected type of data : ({'photo_id': 1359310755, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/37fe9430f3cfc4ebe2e80b4d55a0c335.jpg', 'username': None, 'uploaded_at': 1747641983, 'text': 'image_19052025_10_05_05_9265.jpg', 'time': 1747649105.009265}, 'different') Unexpected type of data : ({'photo_id': 1359310812, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/f1783e2fe601253dc5cbecab4f9ecd05.jpg', 'username': None, 'uploaded_at': 1747641983, 'text': 'image_19052025_10_05_15_10284.jpg', 'time': 1747649115.010284}, 'different') Unexpected type of data : ({'photo_id': 1359310875, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/fcfa0f458cf0ac1a2ae2d150bfd7d57a.jpg', 'username': None, 'uploaded_at': 1747641983, 'text': 'image_19052025_10_05_25_10250.jpg', 'time': 1747649125.01025}, 'different') Unexpected type of data : ({'photo_id': 1359310903, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ab4715669f924f1f80d5139c463f44e1.jpg', 'username': None, 'uploaded_at': 1747641983, 'text': 'image_19052025_10_05_35_9276.jpg', 'time': 1747649135.009276}, 'duplicate') Unexpected type of data : ({'photo_id': 1359310909, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ed2b6f92240a451d1fb9e7d63213ec80.jpg', 'username': None, 'uploaded_at': 1747641983, 'text': 'image_19052025_10_05_45_10450.jpg', 'time': 1747649145.01045}, 'duplicate') Unexpected type of data : ({'photo_id': 1359311098, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/97be74ce430b7bedcf890d01c77244c2.jpg', 'username': None, 'uploaded_at': 1747642043, 'text': 'image_19052025_10_05_55_10425.jpg', 'time': 1747649155.010425}, 'different') Unexpected type of data : ({'photo_id': 1359311113, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/3af8fff0dc43d968cb37fe6d2b9331c1.jpg', 'username': None, 'uploaded_at': 1747642043, 'text': 'image_19052025_10_06_05_9397.jpg', 'time': 1747649165.009397}, 'different') Unexpected type of data : ({'photo_id': 1359311144, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/09e31e02dcefb275294fa3c37f1589c1.jpg', 'username': None, 'uploaded_at': 1747642043, 'text': 'image_19052025_10_06_15_10303.jpg', 'time': 1747649175.010303}, 'different') Unexpected type of data : ({'photo_id': 1359311188, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/40d0164195e038079a12af2cdbd8d1be.jpg', 'username': None, 'uploaded_at': 1747642043, 'text': 'image_19052025_10_06_25_10300.jpg', 'time': 1747649185.0103}, 'different') Unexpected type of data : ({'photo_id': 1359311593, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b80065297a17d791e9bf6c5171114215.jpg', 'username': None, 'uploaded_at': 1747642102, 'text': 'image_19052025_10_06_35_9200.jpg', 'time': 1747649195.0092}, 'different') Unexpected type of data : ({'photo_id': 1359311952, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/2a322e5e67fea7c808f6bb232e747bb1.jpg', 'username': None, 'uploaded_at': 1747642162, 'text': 'image_19052025_10_07_15_10357.jpg', 'time': 1747649235.010357}, 'different') Unexpected type of data : ({'photo_id': 1359311956, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/38dcbf4c103e898b91b28aa493074d1c.jpg', 'username': None, 'uploaded_at': 1747642162, 'text': 'image_19052025_10_08_05_9500.jpg', 'time': 1747649285.0095}, 'different') Unexpected type of data : ({'photo_id': 1359311990, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b9c3041cd07127898fc9b0807fd910fd.jpg', 'username': None, 'uploaded_at': 1747642223, 'text': 'image_19052025_10_08_26_10359.jpg', 'time': 1747649306.010359}, 'different') Unexpected type of data : ({'photo_id': 1359312129, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/6f40493bc130ef86e0bde464c073a3a6.jpg', 'username': None, 'uploaded_at': 1747642282, 'text': 'image_19052025_10_09_05_9355.jpg', 'time': 1747649345.009355}, 'different') Unexpected type of data : ({'photo_id': 1359312158, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/7012b4c29d1afa3601f3dded87865c9c.jpg', 'username': None, 'uploaded_at': 1747642282, 'text': 'image_19052025_10_10_35_9185.jpg', 'time': 1747649435.009185}, 'different') Unexpected type of data : ({'photo_id': 1359312443, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/9202b9cf89a813654454680415b33c79.jpg', 'username': None, 'uploaded_at': 1747642342, 'text': 'image_19052025_10_10_56_10339.jpg', 'time': 1747649456.010339}, 'different') Unexpected type of data : ({'photo_id': 1359312465, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b4a53c3aaa3353aa7c6681f95ef33969.jpg', 'username': None, 'uploaded_at': 1747642342, 'text': 'image_19052025_10_11_15_10355.jpg', 'time': 1747649475.010355}, 'different') Unexpected type of data : ({'photo_id': 1359312467, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/42c5839ca26bdc5fb49e46667ccd1888.jpg', 'username': None, 'uploaded_at': 1747642342, 'text': 'image_19052025_10_11_26_10322.jpg', 'time': 1747649486.010322}, 'different') Unexpected type of data : ({'photo_id': 1359312494, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ce211714ddc61dabf06911fd9d97aa45.jpg', 'username': None, 'uploaded_at': 1747642342, 'text': 'image_19052025_10_11_35_9038.jpg', 'time': 1747649495.009038}, 'different') Unexpected type of data : ({'photo_id': 1359312506, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/65d967e8653a6d17bf48421e8116716c.jpg', 'username': None, 'uploaded_at': 1747642342, 'text': 'image_19052025_10_11_45_10256.jpg', 'time': 1747649505.010256}, 'different') Unexpected type of data : ({'photo_id': 1359312525, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d6caafd18cc5ebbbb0251cb9a67163ee.jpg', 'username': None, 'uploaded_at': 1747642402, 'text': 'image_19052025_10_11_55_10260.jpg', 'time': 1747649515.01026}, 'different') Unexpected type of data : ({'photo_id': 1359312528, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/2ba4815f8e429429439f56618e71d133.jpg', 'username': None, 'uploaded_at': 1747642402, 'text': 'image_19052025_10_12_05_9340.jpg', 'time': 1747649525.00934}, 'different') Unexpected type of data : ({'photo_id': 1359312530, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/faf97dacb5710d637408fd2c239760d0.jpg', 'username': None, 'uploaded_at': 1747642402, 'text': 'image_19052025_10_12_15_10337.jpg', 'time': 1747649535.010337}, 'different') Unexpected type of data : ({'photo_id': 1359312535, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/06a82902c335ea6270d6551c6de3fa20.jpg', 'username': None, 'uploaded_at': 1747642402, 'text': 'image_19052025_10_12_25_10317.jpg', 'time': 1747649545.010317}, 'different') Unexpected type of data : ({'photo_id': 1359312644, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/46a41b7b6b9ed4e8e222aefc39caa5fd.jpg', 'username': None, 'uploaded_at': 1747642462, 'text': 'image_19052025_10_12_55_10335.jpg', 'time': 1747649575.010335}, 'different') Unexpected type of data : ({'photo_id': 1359312646, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/335f4ada60304f0de422572e4d365c56.jpg', 'username': None, 'uploaded_at': 1747642462, 'text': 'image_19052025_10_13_06_10583.jpg', 'time': 1747649586.010583}, 'different') Unexpected type of data : ({'photo_id': 1359312651, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/33762825ea5b4f04fe8cae639184b4f8.jpg', 'username': None, 'uploaded_at': 1747642462, 'text': 'image_19052025_10_13_15_9038.jpg', 'time': 1747649595.009038}, 'different') Unexpected type of data : ({'photo_id': 1359312656, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/bb8f0a70ac8b7d88094b51adce3bde0d.jpg', 'username': None, 'uploaded_at': 1747642462, 'text': 'image_19052025_10_13_25_10347.jpg', 'time': 1747649605.010347}, 'different') Unexpected type of data : ({'photo_id': 1359312659, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/7615133a15f7676bb2ad721b6a499108.jpg', 'username': None, 'uploaded_at': 1747642462, 'text': 'image_19052025_10_13_35_10272.jpg', 'time': 1747649615.010272}, 'different') Unexpected type of data : ({'photo_id': 1359312662, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/6032bc86f03c94aaf60b5f5624ed66b4.jpg', 'username': None, 'uploaded_at': 1747642462, 'text': 'image_19052025_10_13_45_9223.jpg', 'time': 1747649625.009223}, 'different') Unexpected type of data : ({'photo_id': 1359312673, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/465d5ba17a16cf87813370b4c12279a7.jpg', 'username': None, 'uploaded_at': 1747642522, 'text': 'image_19052025_10_13_55_10266.jpg', 'time': 1747649635.010266}, 'different') Unexpected type of data : ({'photo_id': 1359312674, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/06894852a4282fbb07b3373143583a36.jpg', 'username': None, 'uploaded_at': 1747642522, 'text': 'image_19052025_10_14_06_10816.jpg', 'time': 1747649646.010816}, 'different') Unexpected type of data : ({'photo_id': 1359312675, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/062c3e6f4c1a1dd757c0e3bf1c8af404.jpg', 'username': None, 'uploaded_at': 1747642522, 'text': 'image_19052025_10_14_15_9088.jpg', 'time': 1747649655.009088}, 'different') Unexpected type of data : ({'photo_id': 1359312680, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/6a0550d20c54b92947fd13c19833c860.jpg', 'username': None, 'uploaded_at': 1747642522, 'text': 'image_19052025_10_14_25_10329.jpg', 'time': 1747649665.010329}, 'different') Unexpected type of data : ({'photo_id': 1359312684, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/8e0cc9716fbccf5083c69a98636a2fa5.jpg', 'username': None, 'uploaded_at': 1747642522, 'text': 'image_19052025_10_14_35_10284.jpg', 'time': 1747649675.010284}, 'different') Unexpected type of data : ({'photo_id': 1359312687, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d0ca7c7d24a499f2e8e1c6496bcea543.jpg', 'username': None, 'uploaded_at': 1747642522, 'text': 'image_19052025_10_14_46_10249.jpg', 'time': 1747649686.010249}, 'different') Unexpected type of data : ({'photo_id': 1359312839, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/882c721e152cb0832b32cc892ab8f091.jpg', 'username': None, 'uploaded_at': 1747642583, 'text': 'image_19052025_10_14_55_9025.jpg', 'time': 1747649695.009025}, 'different') Unexpected type of data : ({'photo_id': 1359312841, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/490fd6c789960ce2cf8ed71f6bdebba5.jpg', 'username': None, 'uploaded_at': 1747642583, 'text': 'image_19052025_10_15_05_10485.jpg', 'time': 1747649705.010485}, 'different') Unexpected type of data : ({'photo_id': 1359312858, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d05e4350f9bef95eb27a74ce344006c6.jpg', 'username': None, 'uploaded_at': 1747642583, 'text': 'image_19052025_10_15_26_10309.jpg', 'time': 1747649726.010309}, 'different') Unexpected type of data : ({'photo_id': 1359312879, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d47e3c9a8eafc5fd3aaad9d4b354e170.jpg', 'username': None, 'uploaded_at': 1747642583, 'text': 'image_19052025_10_15_35_9181.jpg', 'time': 1747649735.009181}, 'different') Unexpected type of data : ({'photo_id': 1359313260, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d713de63b105823f49076bffbd2089e9.jpg', 'username': None, 'uploaded_at': 1747642663, 'text': 'image_19052025_10_15_45_10346.jpg', 'time': 1747649745.010346}, 'different') Unexpected type of data : ({'photo_id': 1359313289, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/404c39fba5d0c469eb2f308903422c36.jpg', 'username': None, 'uploaded_at': 1747642663, 'text': 'image_19052025_10_16_05_9452.jpg', 'time': 1747649765.009452}, 'different') Unexpected type of data : ({'photo_id': 1359313292, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/fc79021007891cdef43273b2bb5587c5.jpg', 'username': None, 'uploaded_at': 1747642663, 'text': 'image_19052025_10_16_16_10360.jpg', 'time': 1747649776.01036}, 'different') Unexpected type of data : ({'photo_id': 1359313303, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d374e58fb1fa2a23d10bd4486a40cd3c.jpg', 'username': None, 'uploaded_at': 1747642663, 'text': 'image_19052025_10_16_25_9141.jpg', 'time': 1747649785.009141}, 'different') Unexpected type of data : ({'photo_id': 1359313333, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/46f815332289b0d6c6b3d0bac0c80a9b.jpg', 'username': None, 'uploaded_at': 1747642663, 'text': 'image_19052025_10_16_35_10433.jpg', 'time': 1747649795.010433}, 'different') Unexpected type of data : ({'photo_id': 1359313337, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/5f0e14859f1f46b98db22c4d22ae5472.jpg', 'username': None, 'uploaded_at': 1747642663, 'text': 'image_19052025_10_16_45_10354.jpg', 'time': 1747649805.010354}, 'different') Unexpected type of data : ({'photo_id': 1359313341, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b0698d6342c23c63514b86d19c34db9b.jpg', 'username': None, 'uploaded_at': 1747642703, 'text': 'image_19052025_10_16_55_9121.jpg', 'time': 1747649815.009121}, 'different') Unexpected type of data : ({'photo_id': 1359313342, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/e7ec98c33e979e3e3a25a6c814728a70.jpg', 'username': None, 'uploaded_at': 1747642703, 'text': 'image_19052025_10_17_05_10516.jpg', 'time': 1747649825.010516}, 'different') Unexpected type of data : ({'photo_id': 1359313343, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/0eff2ef6fb0e51fd7dcfc0fc5d910eff.jpg', 'username': None, 'uploaded_at': 1747642703, 'text': 'image_19052025_10_17_25_9225.jpg', 'time': 1747649845.009225}, 'different') Unexpected type of data : ({'photo_id': 1359313346, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/9a8fb9cb0966af88a343033424203fee.jpg', 'username': None, 'uploaded_at': 1747642703, 'text': 'image_19052025_10_17_46_10479.jpg', 'time': 1747649866.010479}, 'different') Unexpected type of data : ({'photo_id': 1359313368, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/a5aec41d794330a4d6a3161fe9706927.jpg', 'username': None, 'uploaded_at': 1747642763, 'text': 'image_19052025_10_17_55_9296.jpg', 'time': 1747649875.009296}, 'different') Unexpected type of data : ({'photo_id': 1359313391, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/37fcd721d081aa4cd2e330b56f2c5fa1.jpg', 'username': None, 'uploaded_at': 1747642763, 'text': 'image_19052025_10_18_05_10439.jpg', 'time': 1747649885.010439}, 'different') Unexpected type of data : ({'photo_id': 1359313396, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/798224b2825a509024a30925e81c998a.jpg', 'username': None, 'uploaded_at': 1747642763, 'text': 'image_19052025_10_18_16_10386.jpg', 'time': 1747649896.010386}, 'different') Unexpected type of data : ({'photo_id': 1359313405, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/116a801070c412d53cb8042012262aef.jpg', 'username': None, 'uploaded_at': 1747642763, 'text': 'image_19052025_10_18_25_9115.jpg', 'time': 1747649905.009115}, 'different') Unexpected type of data : ({'photo_id': 1359313410, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/389325c33d5e63a25780efa7bb32a095.jpg', 'username': None, 'uploaded_at': 1747642763, 'text': 'image_19052025_10_18_35_10352.jpg', 'time': 1747649915.010352}, 'different') Unexpected type of data : ({'photo_id': 1359313413, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/4b8a342e3eaf78f28c90b8dc96ad7baf.jpg', 'username': None, 'uploaded_at': 1747642763, 'text': 'image_19052025_10_18_46_10469.jpg', 'time': 1747649926.010469}, 'different') Unexpected type of data : ({'photo_id': 1359313485, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/e7f1d7a8aa673f3a2e43485a283b2010.jpg', 'username': None, 'uploaded_at': 1747642822, 'text': 'image_19052025_10_18_55_9144.jpg', 'time': 1747649935.009144}, 'different') Unexpected type of data : ({'photo_id': 1359313486, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/fd4ed684d21e6e54b4dd0f587d3ba204.jpg', 'username': None, 'uploaded_at': 1747642822, 'text': 'image_19052025_10_19_05_10484.jpg', 'time': 1747649945.010484}, 'different') Unexpected type of data : ({'photo_id': 1359313487, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/03618a825b8bd51433d72fa65800b34f.jpg', 'username': None, 'uploaded_at': 1747642822, 'text': 'image_19052025_10_19_16_10275.jpg', 'time': 1747649956.010275}, 'different') Unexpected type of data : ({'photo_id': 1359313491, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/2fadcdb353ebe5ba251a57d22eb63808.jpg', 'username': None, 'uploaded_at': 1747642822, 'text': 'image_19052025_10_19_25_9130.jpg', 'time': 1747649965.00913}, 'different') Unexpected type of data : ({'photo_id': 1359313502, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/272fc8d3f6c4dd8a1a33012fced4749d.jpg', 'username': None, 'uploaded_at': 1747642822, 'text': 'image_19052025_10_19_35_10257.jpg', 'time': 1747649975.010257}, 'different') Unexpected type of data : ({'photo_id': 1359313506, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/8e9f0a918ad04641c915d14fcaafee15.jpg', 'username': None, 'uploaded_at': 1747642822, 'text': 'image_19052025_10_19_45_10250.jpg', 'time': 1747649985.01025}, 'different') Unexpected type of data : ({'photo_id': 1359313517, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ac171097363e87f18b63437e6e4bdbbf.jpg', 'username': None, 'uploaded_at': 1747642882, 'text': 'image_19052025_10_19_55_10329.jpg', 'time': 1747649995.010329}, 'different') Unexpected type of data : ({'photo_id': 1359313518, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d6f4a81536fb3cdb21ea60303c3ced53.jpg', 'username': None, 'uploaded_at': 1747642882, 'text': 'image_19052025_10_20_05_9487.jpg', 'time': 1747650005.009487}, 'different') Unexpected type of data : ({'photo_id': 1359313519, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/124c13f08543d0dcdb5ddbae6b93b805.jpg', 'username': None, 'uploaded_at': 1747642882, 'text': 'image_19052025_10_20_15_10270.jpg', 'time': 1747650015.01027}, 'different') Unexpected type of data : ({'photo_id': 1359313522, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/42cf03ccf84a1e30a4ecea471c789c80.jpg', 'username': None, 'uploaded_at': 1747642882, 'text': 'image_19052025_10_20_25_10263.jpg', 'time': 1747650025.010263}, 'different') Unexpected type of data : ({'photo_id': 1359313543, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/d153224ccfe02697820b2afa78c7b512.jpg', 'username': None, 'uploaded_at': 1747642882, 'text': 'image_19052025_10_20_35_9039.jpg', 'time': 1747650035.009039}, 'different') Unexpected type of data : ({'photo_id': 1359313570, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/c9329e14c081eb12295b09cd1b1f9f2c.jpg', 'username': None, 'uploaded_at': 1747642882, 'text': 'image_19052025_10_20_45_10257.jpg', 'time': 1747650045.010257}, 'different') Unexpected type of data : ({'photo_id': 1359313628, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/41a65a5e4839ee9d99cf798c4e0b725b.jpg', 'username': None, 'uploaded_at': 1747642942, 'text': 'image_19052025_10_20_55_10509.jpg', 'time': 1747650055.010509}, 'different') Unexpected type of data : ({'photo_id': 1359313629, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/fb7a56df433bc399acc3368c698427c7.jpg', 'username': None, 'uploaded_at': 1747642942, 'text': 'image_19052025_10_21_05_9240.jpg', 'time': 1747650065.00924}, 'different') Unexpected type of data : ({'photo_id': 1359313630, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/a5bb659236156639db10d14e057958d9.jpg', 'username': None, 'uploaded_at': 1747642942, 'text': 'image_19052025_10_21_15_10410.jpg', 'time': 1747650075.01041}, 'different') Unexpected type of data : ({'photo_id': 1359313634, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/4e0e36d5f238c70e81c92944f4a7a645.jpg', 'username': None, 'uploaded_at': 1747642942, 'text': 'image_19052025_10_21_25_10332.jpg', 'time': 1747650085.010332}, 'different') Unexpected type of data : ({'photo_id': 1359313637, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ec43d607f40f5b259b4d128e499fda59.jpg', 'username': None, 'uploaded_at': 1747642942, 'text': 'image_19052025_10_21_35_9284.jpg', 'time': 1747650095.009284}, 'different') Unexpected type of data : ({'photo_id': 1359313851, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/01377ef46cf151ad40bb6ea051fe000b.jpg', 'username': None, 'uploaded_at': 1747643002, 'text': 'image_19052025_10_21_45_10317.jpg', 'time': 1747650105.010317}, 'different') Unexpected type of data : ({'photo_id': 1359313879, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/ebc57d2d0bcb2388ed5afbe13f8e4ef2.jpg', 'username': None, 'uploaded_at': 1747643002, 'text': 'image_19052025_10_22_05_9389.jpg', 'time': 1747650125.009389}, 'different') Unexpected type of data : ({'photo_id': 1359313905, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/e6d15e6f1561cba98a38dbf326acba02.jpg', 'username': None, 'uploaded_at': 1747643002, 'text': 'image_19052025_10_22_25_10353.jpg', 'time': 1747650145.010353}, 'different') Unexpected type of data : ({'photo_id': 1359313936, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/f515a3aea1c7893d0cd11ab67d815d2d.jpg', 'username': None, 'uploaded_at': 1747643002, 'text': 'image_19052025_10_22_36_10348.jpg', 'time': 1747650156.010348}, 'different') Unexpected type of data : ({'photo_id': 1359314231, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/0279d30b4e88c1034293f075cdcac48d.jpg', 'username': None, 'uploaded_at': 1747643062, 'text': 'image_19052025_10_22_45_9102.jpg', 'time': 1747650165.009102}, 'different') Unexpected type of data : ({'photo_id': 1359314273, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/cfa6e7bdd537848ba788d3d40a141c44.jpg', 'username': None, 'uploaded_at': 1747643062, 'text': 'image_19052025_10_23_25_10478.jpg', 'time': 1747650205.010478}, 'different') Unexpected type of data : ({'photo_id': 1359314394, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b353249ef2aee9f53821ffde48711004.jpg', 'username': None, 'uploaded_at': 1747643123, 'text': 'image_19052025_10_23_35_9116.jpg', 'time': 1747650215.009116}, 'different') Unexpected type of data : ({'photo_id': 1359314396, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/7fba294aee3a0f18bd3bfdafa1c0467d.jpg', 'username': None, 'uploaded_at': 1747643123, 'text': 'image_19052025_10_24_15_10491.jpg', 'time': 1747650255.010491}, 'different') Unexpected type of data : ({'photo_id': 1359314412, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/8007311bfded40bca8131876bfe9d309.jpg', 'username': None, 'uploaded_at': 1747643123, 'text': 'image_19052025_10_24_26_10337.jpg', 'time': 1747650266.010337}, 'different') Unexpected type of data : ({'photo_id': 1359314444, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/bcfd0fd2327a530deac90cbee8e62b90.jpg', 'username': None, 'uploaded_at': 1747643123, 'text': 'image_19052025_10_24_35_9109.jpg', 'time': 1747650275.009109}, 'different') Unexpected type of data : ({'photo_id': 1359314570, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/113e54826866ae90ab60eb090d361e46.jpg', 'username': None, 'uploaded_at': 1747643183, 'text': 'image_19052025_10_24_45_10419.jpg', 'time': 1747650285.010419}, 'different') Unexpected type of data : ({'photo_id': 1359314574, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/0f2e78bcc7253a1f19e90d6060f26363.jpg', 'username': None, 'uploaded_at': 1747643183, 'text': 'image_19052025_10_25_05_9440.jpg', 'time': 1747650305.00944}, 'different') Unexpected type of data : ({'photo_id': 1359314603, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/dbab42004c4a51182fe3d896f9e983e6.jpg', 'username': None, 'uploaded_at': 1747643183, 'text': 'image_19052025_10_25_15_10277.jpg', 'time': 1747650315.010277}, 'different') Unexpected type of data : ({'photo_id': 1359314634, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/2bf6da0f35f4464b5a14a9f47681123c.jpg', 'username': None, 'uploaded_at': 1747643183, 'text': 'image_19052025_10_25_26_10497.jpg', 'time': 1747650326.010497}, 'different') Unexpected type of data : ({'photo_id': 1359314665, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/62fd39b3d7fac78e38d349f248f1c30c.jpg', 'username': None, 'uploaded_at': 1747643183, 'text': 'image_19052025_10_25_35_9111.jpg', 'time': 1747650335.009111}, 'different') Unexpected type of data : ({'photo_id': 1359314693, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/a7d124046ccfb0f70f563cc8243dcc58.jpg', 'username': None, 'uploaded_at': 1747643183, 'text': 'image_19052025_10_25_45_10240.jpg', 'time': 1747650345.01024}, 'different') Unexpected type of data : ({'photo_id': 1359314842, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/45f5224d0a99c60c19bfb75583958c98.jpg', 'username': None, 'uploaded_at': 1747643243, 'text': 'image_19052025_10_25_55_10255.jpg', 'time': 1747650355.010255}, 'different') Unexpected type of data : ({'photo_id': 1359314873, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/f54b84b0bc96cd248775fa50cfacc29c.jpg', 'username': None, 'uploaded_at': 1747643243, 'text': 'image_19052025_10_26_05_9708.jpg', 'time': 1747650365.009708}, 'different') Unexpected type of data : ({'photo_id': 1359314887, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/dff70ecf162650551343fd496bf56a1a.jpg', 'username': None, 'uploaded_at': 1747643243, 'text': 'image_19052025_10_26_15_10305.jpg', 'time': 1747650375.010305}, 'different') Unexpected type of data : ({'photo_id': 1359314905, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/c59e391d518c0ff8097fb2bac50f3ca3.jpg', 'username': None, 'uploaded_at': 1747643243, 'text': 'image_19052025_10_26_26_10247.jpg', 'time': 1747650386.010247}, 'different') Unexpected type of data : ({'photo_id': 1359314907, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/97ef63c330b542cb470b4ee9e01555cf.jpg', 'username': None, 'uploaded_at': 1747643243, 'text': 'image_19052025_10_26_35_9020.jpg', 'time': 1747650395.00902}, 'different') Unexpected type of data : ({'photo_id': 1359314909, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/b75af62874fbbfb189d0d156eb698c66.jpg', 'username': None, 'uploaded_at': 1747643243, 'text': 'image_19052025_10_26_45_10518.jpg', 'time': 1747650405.010518}, 'different') Unexpected type of data : ({'photo_id': 1359315001, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/dddb3702e8bd66ba86f64e94581589ac.jpg', 'username': None, 'uploaded_at': 1747643302, 'text': 'image_19052025_10_26_55_10243.jpg', 'time': 1747650415.010243}, 'different') Unexpected type of data : ({'photo_id': 1359315003, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/c1e4c2193c8bcc009c36088558e0d0d5.jpg', 'username': None, 'uploaded_at': 1747643302, 'text': 'image_19052025_10_27_05_9366.jpg', 'time': 1747650425.009366}, 'different') Unexpected type of data : ({'photo_id': 1359315004, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/813de1f5ce3e7be503d40087b269f314.jpg', 'username': None, 'uploaded_at': 1747643302, 'text': 'image_19052025_10_27_15_10267.jpg', 'time': 1747650435.010267}, 'different') Unexpected type of data : ({'photo_id': 1359315006, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/83704f0abad521cbce58f629203c7e4f.jpg', 'username': None, 'uploaded_at': 1747643302, 'text': 'image_19052025_10_27_46_10255.jpg', 'time': 1747650466.010255}, 'different') Unexpected type of data : ({'photo_id': 1359315131, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/563b4c2773fea102d9effbab3c5c0c38.jpg', 'username': None, 'uploaded_at': 1747643362, 'text': 'image_19052025_10_27_55_9032.jpg', 'time': 1747650475.009032}, 'different') Unexpected type of data : ({'photo_id': 1359315163, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/74bde92bd61192d6d9c43039db89d88d.jpg', 'username': None, 'uploaded_at': 1747643362, 'text': 'image_19052025_10_28_05_10608.jpg', 'time': 1747650485.010608}, 'different') Unexpected type of data : ({'photo_id': 1359315191, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/5c69caaccc66fd09b472260afb768b1e.jpg', 'username': None, 'uploaded_at': 1747643362, 'text': 'image_19052025_10_28_16_10311.jpg', 'time': 1747650496.010311}, 'different') Unexpected type of data : ({'photo_id': 1359315229, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/6c20a78c982174d5b35eed39a7bb88ad.jpg', 'username': None, 'uploaded_at': 1747643362, 'text': 'image_19052025_10_28_25_9200.jpg', 'time': 1747650505.0092}, 'different') Unexpected type of data : ({'photo_id': 1359315260, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/8561fee4875c18de0a3d53e51ae60ac8.jpg', 'username': None, 'uploaded_at': 1747643362, 'text': 'image_19052025_10_28_35_10405.jpg', 'time': 1747650515.010405}, 'different') Unexpected type of data : ({'photo_id': 1359315288, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/19/53c2f9b90298d2a92e7f3fc838ede1ce.jpg', 'username': None, 'uploaded_at': 1747643362, 'text': 'image_19052025_10_28_46_10429.jpg', 'time': 1747650526.010429}, 'different') Count Time bigger than 30s : 57 #Number Photos for regression : {'19052025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 9.99972915649414, 2107751015: 618.0036542415619, 2107751016: 30.002787828445435, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 630.0051596164703, 2107751016: 48.997623443603516, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 151.0048632621765, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 177.99811029434204, 2107751016: 31.001393795013428, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 550.9921476840973, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 349.0032105445862, 2107751016: 90.99558353424072, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 629.999064207077, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 1309.9975550174713, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 911.0008001327515, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 3349.0047969818115, 2107751016: 0, 2107751017: 0}}} 19052025|aluminium, 05102018_papier_non_papier_dense:0 19052025|aluminium, 05102018_papier_non_papier_peu_dense:0 19052025|aluminium, 05102018_papier_non_papier_presque_vide:0 19052025|aluminium, 05102018_papier_non_papier_tres_dense:0 19052025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 19052025|ela, 05102018_papier_non_papier_dense:0 19052025|ela, 05102018_papier_non_papier_peu_dense:0 19052025|ela, 05102018_papier_non_papier_presque_vide:0 19052025|ela, 05102018_papier_non_papier_tres_dense:0 19052025|ela, 05102018_papier_non_papier_tres_peu_dense:0 19052025|emr, 05102018_papier_non_papier_dense:0 19052025|emr, 05102018_papier_non_papier_peu_dense:9.99972915649414 19052025|emr, 05102018_papier_non_papier_presque_vide:618.0036542415619 19052025|emr, 05102018_papier_non_papier_tres_dense:30.002787828445435 19052025|emr, 05102018_papier_non_papier_tres_peu_dense:0 19052025|film_pedb, 05102018_papier_non_papier_dense:0 19052025|film_pedb, 05102018_papier_non_papier_peu_dense:0 19052025|film_pedb, 05102018_papier_non_papier_presque_vide:630.0051596164703 19052025|film_pedb, 05102018_papier_non_papier_tres_dense:48.997623443603516 19052025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 19052025|flux_dev, 05102018_papier_non_papier_dense:0 19052025|flux_dev, 05102018_papier_non_papier_peu_dense:0 19052025|flux_dev, 05102018_papier_non_papier_presque_vide:151.0048632621765 19052025|flux_dev, 05102018_papier_non_papier_tres_dense:0 19052025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 19052025|jrm, 05102018_papier_non_papier_dense:0 19052025|jrm, 05102018_papier_non_papier_peu_dense:0 19052025|jrm, 05102018_papier_non_papier_presque_vide:177.99811029434204 19052025|jrm, 05102018_papier_non_papier_tres_dense:31.001393795013428 19052025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 19052025|pcm, 05102018_papier_non_papier_dense:0 19052025|pcm, 05102018_papier_non_papier_peu_dense:0 19052025|pcm, 05102018_papier_non_papier_presque_vide:550.9921476840973 19052025|pcm, 05102018_papier_non_papier_tres_dense:0 19052025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 19052025|pcnc, 05102018_papier_non_papier_dense:0 19052025|pcnc, 05102018_papier_non_papier_peu_dense:0 19052025|pcnc, 05102018_papier_non_papier_presque_vide:349.0032105445862 19052025|pcnc, 05102018_papier_non_papier_tres_dense:90.99558353424072 19052025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 19052025|pehd_pp, 05102018_papier_non_papier_dense:0 19052025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 19052025|pehd_pp, 05102018_papier_non_papier_presque_vide:629.999064207077 19052025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 19052025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 19052025|pet_clair, 05102018_papier_non_papier_dense:0 19052025|pet_clair, 05102018_papier_non_papier_peu_dense:0 19052025|pet_clair, 05102018_papier_non_papier_presque_vide:1309.9975550174713 19052025|pet_clair, 05102018_papier_non_papier_tres_dense:0 19052025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 19052025|refus, 05102018_papier_non_papier_dense:0 19052025|refus, 05102018_papier_non_papier_peu_dense:0 19052025|refus, 05102018_papier_non_papier_presque_vide:911.0008001327515 19052025|refus, 05102018_papier_non_papier_tres_dense:0 19052025|refus, 05102018_papier_non_papier_tres_peu_dense:0 19052025|tapis_vide, 05102018_papier_non_papier_dense:0 19052025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 19052025|tapis_vide, 05102018_papier_non_papier_presque_vide:3349.0047969818115 19052025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 19052025|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 ! 19052025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 65 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_emr_05102018_papier_non_papier_peu_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106783 with name like 19052025_emr_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_emr_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106785 with name like 19052025_emr_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_emr_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106786 with name like 19052025_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 62 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_film_pedb_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106787 with name like 19052025_film_pedb_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_film_pedb_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106788 with name like 19052025_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 12 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_flux_dev_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106789 with name like 19052025_flux_dev_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : jrm 18 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_jrm_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106790 with name like 19052025_jrm_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_jrm_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106791 with name like 19052025_jrm_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pcm 49 Number amount portfolio for this type of dechet : pcnc 30 Number amount portfolio for this type of dechet : pehd_pp 54 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_pehd_pp_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106792 with name like 19052025_pehd_pp_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pet_clair 108 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_pet_clair_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106793 with name like 19052025_pet_clair_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : refus 76 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_refus_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106794 with name like 19052025_refus_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : tapis_vide 95 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=19052025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23106795 with name like 19052025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 21 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'] We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '19052025', 'map_nb_amount': {0: 0, 1: 21, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 219.99972081184387, 2: 9.999015092849731, 3: 0, 4: 0}, 'duration': 209.9996359348297, 'nb_balles_papier': 0.22999873590469366, 'begin_time_port': 'image_19052025_06_36_05_9481.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.22999873590469366 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': '19052025', 'map_nb_amount': {0: 0, 1: 21, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 219.99972081184387, 2: 9.999015092849731, 3: 0, 4: 0}, 'duration': 209.9996359348297, 'nb_balles_papier': 0.22999873590469366, 'begin_time_port': 'image_19052025_06_36_05_9481.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.22999873590469366 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': '19052025', 'map_nb_amount': {0: 0, 1: 22, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 218.9984872341156, 2: 0, 3: 0, 4: 0}, 'duration': 228.99984407424927, 'nb_balles_papier': 0.2199984872341156, 'begin_time_port': 'image_19052025_06_44_46_10488.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2199984872341156 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_gm:{'day': '19052025', 'map_nb_amount': {0: 0, 1: 27, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 289.9984838962555, 2: 0, 3: 0, 4: 0}, 'duration': 299.9997479915619, 'nb_balles_papier': 0.29099848389625554, 'begin_time_port': 'image_19052025_06_53_05_9366.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.29099848389625554 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': '19052025', 'map_nb_amount': {0: 0, 1: 23, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 239.99866580963135, 2: 0, 3: 0, 4: 0}, 'duration': 249.9999167919159, 'nb_balles_papier': 0.24099866580963136, 'begin_time_port': 'image_19052025_07_05_15_9097.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.24099866580963136 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': '19052025', 'map_nb_amount': {0: 0, 1: 23, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 229.9990839958191, 2: 20.001483917236328, 3: 0, 4: 0}, 'duration': 250.00056791305542, 'nb_balles_papier': 0.2510005679130554, 'begin_time_port': 'image_19052025_07_14_05_009731m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2510005679130554 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': '19052025', 'map_nb_amount': {0: 0, 1: 23, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 229.9990839958191, 2: 20.001483917236328, 3: 0, 4: 0}, 'duration': 250.00056791305542, 'nb_balles_papier': 0.2510005679130554, 'begin_time_port': 'image_19052025_07_14_05_009731m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2510005679130554 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 ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '19052025', 'map_nb_amount': {0: 0, 1: 33, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 399.00094079971313, 2: 0, 3: 0, 4: 0}, 'duration': 369.9998941421509, 'nb_balles_papier': 0.39900094079971316, 'begin_time_port': 'image_19052025_07_23_15_010378m0.jpg 0.04899993777275086 for time 48.999937772750854, id_amount 2 this amount prod time diff : 0.04899993777275086'} Production hashtag (incorrect ponderation at 20-10-18) : 0.39900094079971316 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': '19052025', 'map_nb_amount': {0: 0, 1: 19, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 340.000422000885, 2: 0, 3: 0, 4: 0}, 'duration': 209.99926280975342, 'nb_balles_papier': 0.340000422000885, 'begin_time_port': 'image_19052025_07_38_35_010312m0.jpg 0.13899991416931154 for time 138.99991416931152, id_amount 2 this amount prod time diff : 0.13899991416931154'} Production hashtag (incorrect ponderation at 20-10-18) : 0.340000422000885 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 ! 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': '19052025', 'map_nb_amount': {0: 0, 1: 40, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 432.0022146701813, 2: 28.99884033203125, 3: 0, 4: 0}, 'duration': 488.9999189376831, 'nb_balles_papier': 0.4610010550022125, 'begin_time_port': 'image_19052025_08_00_26_010335m0.jpg 0.010999973058700561 for time 10.999973058700562, id_amount 2 this amount prod time diff : 0.010999973058700561'} Production hashtag (incorrect ponderation at 20-10-18) : 0.4610010550022125 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 ! result_one_balle_Type_emr:{'day': '19052025', 'map_nb_amount': {0: 0, 1: 22, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 238.99860429763794, 2: 10.001303911209106, 3: 0, 4: 0}, 'duration': 250.00090312957764, 'nb_balles_papier': 0.24899990820884702, 'begin_time_port': 'image_19052025_08_13_05_009404m0.jpg 0.009999011993408203 for time 9.999011993408203, id_amount 2 this amount prod time diff : 0.009999011993408203'} Production hashtag (incorrect ponderation at 20-10-18) : 0.24899990820884702 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': '19052025', 'map_nb_amount': {0: 0, 1: 22, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 238.99860429763794, 2: 10.001303911209106, 3: 0, 4: 0}, 'duration': 250.00090312957764, 'nb_balles_papier': 0.24899990820884702, 'begin_time_port': 'image_19052025_08_13_05_009404m0.jpg 0.009999011993408203 for time 9.999011993408203, id_amount 2 this amount prod time diff : 0.009999011993408203'} Production hashtag (incorrect ponderation at 20-10-18) : 0.24899990820884702 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': '19052025', 'map_nb_amount': {0: 0, 1: 24, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 270.00096011161804, 2: 0, 3: 0, 4: 0}, 'duration': 249.99988913536072, 'nb_balles_papier': 0.270000960111618, 'begin_time_port': 'image_19052025_08_24_25_010609m0.jpg 0.020001070976257324 for time 20.001070976257324, id_amount 2 this amount prod time diff : 0.020001070976257324'} Production hashtag (incorrect ponderation at 20-10-18) : 0.270000960111618 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': '19052025', 'map_nb_amount': {0: 0, 1: 24, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 250.00034713745117, 2: 0, 3: 0, 4: 0}, 'duration': 250.00034713745117, 'nb_balles_papier': 0.2510003471374512, 'begin_time_port': 'image_19052025_08_33_55_009146m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2510003471374512 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 ! result_one_balle_Type_jrm:{'day': '19052025', 'map_nb_amount': {0: 0, 1: 14, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 168.99947929382324, 2: 31.001393795013428, 3: 0, 4: 0}, 'duration': 199.9998791217804, 'nb_balles_papier': 0.2000008730888367, 'begin_time_port': 'image_19052025_08_45_15_010398m0.jpg 0.010001041889190675 for time 10.001041889190674, id_amount 2 this amount prod time diff : 0.010001041889190675'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2000008730888367 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 ! result_one_balle_Type_emr:{'day': '19052025', 'map_nb_amount': {0: 1, 1: 20, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 9.99972915649414, 1: 270.99992060661316, 2: 0, 3: 0, 4: 0}, 'duration': 228.99861216545105, 'nb_balles_papier': 0.2809996497631073, 'begin_time_port': 'image_19052025_09_01_56_010419m0.jpg 0.07099998784065246 for time 70.99998784065247, id_amount 2 this amount prod time diff : 0.07099998784065246'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2809996497631073 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': '19052025', 'map_nb_amount': {0: 1, 1: 20, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 9.99972915649414, 1: 270.99992060661316, 2: 0, 3: 0, 4: 0}, 'duration': 228.99861216545105, 'nb_balles_papier': 0.2809996497631073, 'begin_time_port': 'image_19052025_09_01_56_010419m0.jpg 0.07099998784065246 for time 70.99998784065247, id_amount 2 this amount prod time diff : 0.07099998784065246'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2809996497631073 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': '19052025', 'map_nb_amount': {0: 0, 1: 21, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 221.00088596343994, 2: 0, 3: 0, 4: 0}, 'duration': 221.00088596343994, 'nb_balles_papier': 0.22200088596343995, 'begin_time_port': 'image_19052025_09_11_35_9402.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.22200088596343995 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 ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '19052025', 'map_nb_amount': {0: 0, 1: 33, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 370.00013399124146, 2: 0, 3: 0, 4: 0}, 'duration': 400.00010800361633, 'nb_balles_papier': 0.3710001339912415, 'begin_time_port': 'image_19052025_09_19_55_10327.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3710001339912415 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': '19052025', 'map_nb_amount': {0: 0, 1: 19, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 259.99987602233887, 2: 0, 3: 0, 4: 0}, 'duration': 199.9999349117279, 'nb_balles_papier': 0.25999987602233887, 'begin_time_port': 'image_19052025_09_32_25_10338.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.25999987602233887 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': '19052025', 'map_nb_amount': {0: 0, 1: 23, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 259.99917483329773, 2: 0, 3: 0, 4: 0}, 'duration': 240.00015091896057, 'nb_balles_papier': 0.2599991748332977, 'begin_time_port': 'image_19052025_09_44_05_9347.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2599991748332977 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_gm:{'day': '19052025', 'map_nb_amount': {0: 0, 1: 24, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 279.9999940395355, 2: 0, 3: 0, 4: 0}, 'duration': 269.9994812011719, 'nb_balles_papier': 0.2799999940395355, 'begin_time_port': 'image_19052025_09_52_05_9570.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2799999940395355 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': '19052025', 'map_nb_amount': {0: 0, 1: 14, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 180.00205779075623, 2: 19.998783111572266, 3: 0, 4: 0}, 'duration': 169.9999339580536, 'nb_balles_papier': 0.20000084090232853, 'begin_time_port': 'image_19052025_10_00_55_10296.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.20000084090232853 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 have rejected 1 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 23 list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=emr_diff_batch__19052025_06_36_05_009481&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [23106796] find same portfolio which already exist 23106796 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=pet_clair_diff_batch__19052025_06_44_46_010488&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=gm_diff_batch__19052025_06_53_05_009366&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=pehd_pp_diff_batch__19052025_07_05_15_009097&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [23104922] find same portfolio which already exist 23104922 , we will use it list_same_port_ids : [23104922] find same portfolio which already exist 23104922 , we will use it list_same_port_ids : [23104924] find same portfolio which already exist 23104924 , we will use it list_same_port_ids : [23104926] find same portfolio which already exist 23104926 , we will use it list_same_port_ids : [23104928] find same portfolio which already exist 23104928 , we will use it list_same_port_ids : [23104930] find same portfolio which already exist 23104930 , we will use it list_same_port_ids : [23104930] find same portfolio which already exist 23104930 , we will use it list_same_port_ids : [23104932] find same portfolio which already exist 23104932 , we will use it list_same_port_ids : [23104934] find same portfolio which already exist 23104934 , we will use it list_same_port_ids : [23104935] find same portfolio which already exist 23104935 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=emr_diff_batch__19052025_09_01_56_010419&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [23106800] find same portfolio which already exist 23106800 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=pet_clair_diff_batch__19052025_09_11_35_009402&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=refus_diff_batch__19052025_09_19_55_010327&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=pehd_pp_diff_batch__19052025_09_32_25_010338&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=pet_clair_diff_batch__19052025_09_44_05_009347&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=gm_diff_batch__19052025_09_52_05_009570&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=film_pedb_diff_batch__19052025_10_00_55_010296&access_token=e7e3b500bcaff4304bc4fea92faa736f # 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`=23106796 AND mptpi.`type`=4207 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 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`=23106796 AND mptpi.`type`=4207 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 ! 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`=23106797 AND mptpi.`type`=3327 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 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! 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`=23106798 AND mptpi.`type`=4209 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`=23106799 AND mptpi.`type`=4211 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 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`=23104922 AND mptpi.`type`=4207 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 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`=23104922 AND mptpi.`type`=4207 To do Qualite : 0.12806391095562103 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! 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`=23104924 AND mptpi.`type`=3594 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 ! 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`=23104926 AND mptpi.`type`=3327 To do Qualite : 0.2236387457341905 # 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`=23104928 AND mptpi.`type`=4461 To do Qualite : 0.04550450509911371 # 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`=23104930 AND mptpi.`type`=4207 To do Qualite : 0.04550450509911371 # 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`=23104930 AND mptpi.`type`=4207 To do Qualite : 0.0028265842665714074 # 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`=23104932 AND mptpi.`type`=3327 To do Qualite : 0.03134166372996076 # 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`=23104934 AND mptpi.`type`=4211 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 ! 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`=23104935 AND mptpi.`type`=3726 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 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`=23106800 AND mptpi.`type`=4207 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 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`=23106800 AND mptpi.`type`=4207 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 ! 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`=23106801 AND mptpi.`type`=3327 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 ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! 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`=23106802 AND mptpi.`type`=3594 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`=23106803 AND mptpi.`type`=4211 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 ! 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`=23106804 AND mptpi.`type`=3327 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 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! 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`=23106805 AND mptpi.`type`=4209 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 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`=23106807 AND mptpi.`type`=4461 To do elapsed_time : count_nb_balles_and_create_portfolio 46.482006311416626 # DISPLAY ALL COLLECTED DATA : {'19052025': {'nb_upload': 767, 'nb_taggue_class': 600, 'nb_taggue_densite': 600, 'nb_descriptors': 573, 'number_port': 21, 'count_photo_in_port': 482, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 91, 'nb_portfolios': 4}, 'film_pedb': {'nb_photos': 60, 'nb_portfolios': 3}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 17, 'nb_portfolios': 1}, 'pcm': {'nb_photos': 51, 'nb_portfolios': 2}, 'pcnc': {'nb_photos': 22, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 66, 'nb_portfolios': 3}, 'pet_clair': {'nb_photos': 109, 'nb_portfolios': 5}, 'refus': {'nb_photos': 66, 'nb_portfolios': 2}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1359315288, 1359315260, 1359315229, 1359315191, 1359315163, 1359315131, 1359315006, 1359315004, 1359315003, 1359315001, 1359314909, 1359314907, 1359314905, 1359314887, 1359314873, 1359314842, 1359314693, 1359314665, 1359314634, 1359314603, 1359314574, 1359314570, 1359314444, 1359314412, 1359314396, 1359314394, 1359314273, 1359314231, 1359313936, 1359313905, 1359313879, 1359313851, 1359313637, 1359313634, 1359313630, 1359313629, 1359313628, 1359313570, 1359313543, 1359313522, 1359313519, 1359313518, 1359313517, 1359313506, 1359313502, 1359313491, 1359313487, 1359313486, 1359313485, 1359313413, 1359313410, 1359313405, 1359313396, 1359313391, 1359313368, 1359313346, 1359313343, 1359313342, 1359313341, 1359313337, 1359313333, 1359313303, 1359313292, 1359313289, 1359313260, 1359312879, 1359312858, 1359312841, 1359312839, 1359312687, 1359312684, 1359312680, 1359312675, 1359312674, 1359312673, 1359312662, 1359312659, 1359312656, 1359312651, 1359312646, 1359312644, 1359312535, 1359312530, 1359312528, 1359312525, 1359312506, 1359312494, 1359312467, 1359312465, 1359312443, 1359312158, 1359312129, 1359311990, 1359311956, 1359311952, 1359311593, 1359311188, 1359311144, 1359311113, 1359311098] Looping around the photos to save general results len do output : 1 /23102414Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359315288', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359315260', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359315229', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359315191', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359315163', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359315131', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359315006', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359315004', None, None, None, None, None, '2891258') ('4891', None, None, None, None, 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None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359312465', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359312443', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359312158', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359312129', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359311990', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359311956', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359311952', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359311593', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359311188', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359311144', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359311113', None, None, None, None, None, '2891258') ('4891', None, None, None, None, None, None, None, '2891258') ('4891', '23102414', '1359311098', None, None, None, None, None, '2891258') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.03396773338317871 save_final save missing photos in datou_result : time spend for datou_step_exec : 73.84603881835938 time spend to save output : 0.03571057319641113 total time spend for step 1 : 73.88174939155579 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 3.87user 1.03system 1:18.62elapsed 6%CPU (0avgtext+0avgdata 106928maxresident)k 81520inputs+5280outputs (6573major+61020minor)pagefaults 0swaps