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 : 3135981 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 : ['4350210'] with mtr_portfolio_ids : ['30474361'] and first list_photo_ids : [] new path : /proc/3135981/ 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 : 0.04275631904602051 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Feb 20 08:30:28 2026 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 3), ('01', 2), ('02', 2), ('03', 3), ('04', 2), ('05', 68), ('06', 179), ('07', 124), ('08', 45)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 332} 20022026 30474361 Nombre de photos uploadées : 428 / 23040 (1%) 20022026 30474361 Nombre de photos taguées (types de déchets): 332 / 428 (77%) 20022026 30474361 Nombre de photos taguées (volume) : 332 / 428 (77%) elapsed_time : load_data_split_time_score 2.384185791015625e-06 elapsed_time : order_list_meta_photo_and_scores 0.000133514404296875 ???????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.02128767967224121 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.23851919174194336 Creating list_photo_total elapsed_time : select_descriptors 17.997681140899658 20022026 30474361 Nombre de photos avec descriptors (type 6092) : 339 / 412 (82%) Missing descriptors for photos 0 and 1409126987 0:00:00|ON:Missing descriptors for photos 1409126987 and 1409131077 Missing descriptors for photos 1409131077 and 1409138638 Missing descriptors for photos 1409138638 and 1409145852 Missing descriptors for photos 1409145852 and 1409149274 Missing descriptors for photos 1409149274 and 1409157288 Missing descriptors for photos 1409157288 and 1409161017 Missing descriptors for photos 1409161017 and 1409167589 Missing descriptors for photos 1409167589 and 1409175732 Missing descriptors for photos 1409175732 and 1409179260 Missing descriptors for photos 1409179260 and 1409184718 Missing descriptors for photos 1409184718 and 1409189197 Missing descriptors for photos 1409189197 and 1409193117 5:17:18.999169|OFF:0:00:21.000291|ON:0:35:19.999874|OFF:0:00:19.999983|ON:0:01:38.999875|OFF:0:00:30.000053|ON:0:07:30.999967|OFF:0:00:09.999942|ON:0:01:30.000439|OFF:0:00:19.999605|ON:0:03:00.000144|OFF:0:00:29.999844|ON:0:00:29.999944|OFF:0:00:09.999953|ON:0:01:19.000001|OFF:0:00:21.000036|ON:0:14:40.000053|OFF:0:00:10.000087|ON:0:00:09.999949|OFF:0:00:19.999974|ON:0:00:40.000040|OFF:0:00:39.999936|ON:0:00:30.000161|OFF:0:00:29.999938|ON:0:00:39.999978|OFF:0:00:30.000062|ON:0:00:29.999896|OFF:0:00:10.000070|ON:0:00:49.999941|OFF:0:04:50.000941|ON:0:02:19.999016|OFF:0:00:09.999986|ON:0:29:10.000112|OFF:0:00:10.000019|ON:0:00:29.999939|OFF:0:00:30.000018|ON:0:23:20.000903|OFF:0:00:09.998825|ON: WARNING condition_same_param while we were looking loading descriptors Missing descriptors for photos 1409209365 and 1409209366 Missing descriptors for photos 1409209366 and 1409209367 Missing descriptors for photos 1409209367 and 1409209372 Missing descriptors for photos 1409209372 and 1409209376 Missing descriptors for photos 1409209376 and 1409209570 Missing descriptors for photos 1409209570 and 1409209595 Missing descriptors for photos 1409209595 and 1409209622 Missing descriptors for photos 1409209622 and 1409209641 Missing descriptors for photos 1409209641 and 1409209663 Missing descriptors for photos 1409209663 and 1409209723 Missing descriptors for photos 1409209723 and 1409211160 Missing descriptors for photos 1409211160 and 1409211185 Missing descriptors for photos 1409211185 and 1409211276 Missing descriptors for photos 1409211276 and 1409211277 Missing descriptors for photos 1409211277 and 1409211278 Missing descriptors for photos 1409211278 and 1409211316 Missing descriptors for photos 1409211316 and 1409211338 Missing descriptors for photos 1409211338 and 1409211348 Missing descriptors for photos 1409211348 and 1409211678 Missing descriptors for photos 1409211678 and 1409211722 Missing descriptors for photos 1409211722 and 1409211782 Missing descriptors for photos 1409211782 and 1409211857 Missing descriptors for photos 1409211857 and 1409211927 Missing descriptors for photos 1409211927 and 1409211955 Missing descriptors for photos 1409211955 and 1409212517 Missing descriptors for photos 1409212517 and 1409212573 Missing descriptors for photos 1409212573 and 1409212613 Missing descriptors for photos 1409212613 and 1409214980 Missing descriptors for photos 1409214980 and 1409215050 Missing descriptors for photos 1409215050 and 1409215073 Missing descriptors for photos 1409215073 and 1409215329 Missing descriptors for photos 1409215329 and 1409215331 Missing descriptors for photos 1409215331 and 1409215333 Missing descriptors for photos 1409215333 and 1409215362 Missing descriptors for photos 1409215362 and 1409215401 Missing descriptors for photos 1409215401 and 1409215437 Missing descriptors for photos 1409215437 and 1409216265 Missing descriptors for photos 1409216265 and 1409216280 Missing descriptors for photos 1409216280 and 1409216295 Missing descriptors for photos 1409216295 and 1409216579 Missing descriptors for photos 1409216579 and 1409216580 Missing descriptors for photos 1409216580 and 1409216586 Missing descriptors for photos 1409216586 and 1409216605 Missing descriptors for photos 1409216605 and 1409216613 Missing descriptors for photos 1409216613 and 1409216925 Missing descriptors for photos 1409216925 and 1409217861 Missing descriptors for photos 1409217861 and 1409217923 Missing descriptors for photos 1409217923 and 1409218298 Missing descriptors for photos 1409218298 and 1409218323 Missing descriptors for photos 1409218323 and 1409218343 Missing descriptors for photos 1409218343 and 1409218370 Missing descriptors for photos 1409218370 and 1409218383 Missing descriptors for photos 1409218383 and 1409218414 Missing descriptors for photos 1409218414 and 1409218589 Missing descriptors for photos 1409218589 and 1409218643 Missing descriptors for photos 1409218643 and 1409218680 Missing descriptors for photos 1409218680 and 1409218718 Missing descriptors for photos 1409218718 and 1409218754 Missing descriptors for photos 1409218754 and 1409218947 Missing descriptors for photos 1409218947 and 1409218954 Missing descriptors for photos 1409218954 and 1409218957 Missing descriptors for photos 1409218957 and 1409218960 Missing descriptors for photos 1409218960 and 1409218987 Missing descriptors for photos 1409218987 and 1409218994 Missing descriptors for photos 1409218994 and 1409219003 Missing descriptors for photos 1409219003 and 1409219004 Missing descriptors for photos 1409219004 and 1409219005 Missing descriptors for photos 1409219005 and 1409219006 Missing descriptors for photos 1409219006 and 1409219007 Missing descriptors for photos 1409219007 and 1409219008 Missing descriptors for photos 1409219008 and 1409219091 Missing descriptors for photos 1409219091 and 1409219238 20022026 Removing 30 photos because of the 'same image' condition Total on : 26487.999401000005 list_time_on Total off : 651.999563 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 428 time used for this insertion : 0.10585165023803711 photos_removed : len 30 elapsed_time : remove_photo_duplicate 0.23391199111938477 Creating list_photo_total XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXWarning 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, 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ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving 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 ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.09368062019348145 Total photos : 428 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 0 hashtag : 2107760239 photo_id =1409194349 : pehd_pp ..............can't find max_score_info .....Change port : 18 hashtag : 2107760238 photo_id =1409194797 : flux_dev .........Change port : 9 hashtag : 2107760239 photo_id =1409195039 : pehd_pp ................Change port : 16 hashtag : 616987804 photo_id =1409196351 : emr ..........Change port : 10 hashtag : 495916461 photo_id =1409197095 : 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 .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 : 78 hashtag : 538914404 photo_id =1409199543 : refus ........Change port : 8 hashtag : 560181804 photo_id =1409199554 : pcm ..Change port : 2 hashtag : 538914404 photo_id =1409199556 : refus ..Change port : 2 hashtag : 560181804 photo_id =1409199576 : pcm .....Change port : 5 hashtag : 2107760237 photo_id =1409199663 : film_pedb ......can't find max_score_info ..can't find max_score_info .can't find max_score_info .....can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ....can't find max_score_info .can't find max_score_info .can't find max_score_info .....can't find max_score_info .can't find max_score_info ....can't find max_score_info ....can't find max_score_info .Change port : 24 hashtag : 616987804 photo_id =1409200284 : emr ...........can't find max_score_info .....can't find max_score_info .Change port : 15 hashtag : 2107760238 photo_id =1409200436 : flux_dev ......................Change port : 22 hashtag : 2107755846 photo_id =1409202454 : pet_clair ................can't find max_score_info .Change port : 16 hashtag : 616987804 photo_id =1409204567 : emr .......can't find max_score_info ....can't find max_score_info .can't find max_score_info ..Change port : 11 hashtag : 2107760239 photo_id =1409205109 : pehd_pp ..................Change port : 18 hashtag : 493546845 photo_id =1409205649 : aluminium ............Change port : 12 hashtag : 616987804 photo_id =1409207067 : emr .Change port : 1 hashtag : 1284539308 photo_id =1409207183 : pcnc ...........can't find max_score_info .....Change port : 15 hashtag : 616987804 photo_id =1409207648 : emr ... Total photos : 428 Number of lists : 20 counter photos in port : 286 hashtag : aluminium(493546845) : 12 photos in 1 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 41 photos in 5 portfolios ! hashtag : film_pedb(2107760237) : 24 photos in 1 portfolios ! hashtag : flux_dev(2107760238) : 31 photos in 2 portfolios ! hashtag : jrm(495916461) : 78 photos in 1 portfolios ! hashtag : pcm(560181804) : 7 photos in 2 portfolios ! hashtag : pcnc(1284539308) : 15 photos in 1 portfolios ! hashtag : pehd_pp(2107760239) : 52 photos in 3 portfolios ! hashtag : pet_clair(2107755846) : 16 photos in 1 portfolios ! hashtag : refus(538914404) : 10 photos in 2 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.010605335235595703 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 1.9073486328125e-06 today str has not a value , we define it as the date of the first image todaystr_first : 20022026 attention , prev_timestamp is 0 , we do nothing *************Unexpected type of data : ({'photo_id': 1409194688, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/fbbfe9552123411ef1e624e89f56ae54.jpg', 'username': None, 'uploaded_at': 1771562062, 'text': 'image_20022026_05_33_49_9881.jpg', 'time': 1771565629.009881}, 'different') Unexpected type of data : ({'photo_id': 1409194766, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/e7f2823447f1c1fc7d37c298c69cb3e8.jpg', 'username': None, 'uploaded_at': 1771562123, 'text': 'image_20022026_05_33_59_9938.jpg', 'time': 1771565639.009938}, 'different') Unexpected type of data : ({'photo_id': 1409194772, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/7564fa6b50da0a17f1015c6360f97a91.jpg', 'username': None, 'uploaded_at': 1771562123, 'text': 'image_20022026_05_34_09_10325.jpg', 'time': 1771565649.010325}, 'different') Unexpected type of data : ({'photo_id': 1409194778, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/1e7f21d765f749280b91be95880dce2f.jpg', 'username': None, 'uploaded_at': 1771562123, 'text': 'image_20022026_05_34_19_9934.jpg', 'time': 1771565659.009934}, 'different') Unexpected type of data : ({'photo_id': 1409194764, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/e5bad6b26ed1dd20767777ecb9000e30.jpg', 'username': None, 'uploaded_at': 1771562103, 'text': 'image_20022026_05_34_29_9946.jpg', 'time': 1771565669.009946}, 'different') Unexpected type of data : ({'photo_id': 1409194787, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3b3a069e7ebbd7e794b718e1222094ea.jpg', 'username': None, 'uploaded_at': 1771562123, 'text': 'image_20022026_05_34_39_9933.jpg', 'time': 1771565679.009933}, 'different') Unexpected type of data : ({'photo_id': 1409194789, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/68c459fdeac14576fc1b1b0bb28c8785.jpg', 'username': None, 'uploaded_at': 1771562123, 'text': 'image_20022026_05_34_49_9921.jpg', 'time': 1771565689.009921}, 'different') Unexpected type of data : ({'photo_id': 1409194795, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/53fdba629a63c84a9e2b27951b47c933.jpg', 'username': None, 'uploaded_at': 1771562183, 'text': 'image_20022026_05_34_59_10004.jpg', 'time': 1771565699.010004}, 'different') Unexpected type of data : ({'photo_id': 1409194796, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/b9c7c5c947aa8876ac941fd083c840d3.jpg', 'username': None, 'uploaded_at': 1771562183, 'text': 'image_20022026_05_35_09_10150.jpg', 'time': 1771565709.01015}, 'different') * BIG TIME 460.0000898838043 (170.00119590759277, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.833011, 0, 0, 0, 1.9089999036073684, 0.0032, 0.0010000070095062257, 1.9, 0.17999996399879462, -0.299999920129776) on 17 1409194797 2026-02-20 05:35:19.009920 id_data : 41 ** BIG TIME 389.9998230934143 (269.9999430179596, 4, 0, 0, 0, 0, 0.51997656, 0, 0, 0, 0, 0, 0, 0, 1.964999905705452, 0.005, 0.0010000070095062257, 2.9, 0.02999985194206238, -0.033333226442337036) on 25 1409195039 2026-02-20 05:43:29.009674 id_data : 50 * BIG TIME 419.9998998641968 (420.0001060962677, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.7928194, 0, 0, 0, 2.0188999034166337, 0.0066, 0.0010000070095062257, 1.9, 0.1490001540184021, -0.233333211739858) on 40 1409196351 2026-02-20 05:52:58.009728 id_data : 66 * BIG TIME 269.9998619556427 (520.0002820491791, 2, 0, 0, 0.722069, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.070999910712242, 0.0076, 0.0010000070095062257, 0.9, 0.10100017309188843, -0.15166645526885986) on 49 1409197095 2026-02-20 05:59:09.009763 id_data : 76 ** BIG TIME 210.00093698501587 (920.0004272460938, 5, 0, 0, 0, 0, 0, 0.63032615, 0, 0, 0, 0, 0, 0, 2.1419999039173128, 0.0112, 0.004000022315979004, 1.9, 0.40999991703033445, -0.7166666785875956) on 81 1409198627 2026-02-20 06:09:59.010770 id_data : 112 *** BIG TIME 220.00113987922668 (1477.999225616455, 5, 0, 0, 0, 0, 0, 0.8599753, 0, 0, 0, 0, 0, 0, 2.2279998835086823, 0.0164, 0.013100005173683166, 0.9, 0.07899884510040284, -0.1333329184850057) on 125 1409199513 2026-02-20 06:24:29.010769 id_data : 164 *** BIG TIME 308.99956488609314 (1738.998403787613, 6, 0, 0, 0, 0, 0, 0, 0.56033444, 0, 0, 0, 0, 0, 2.275999927210808, 0.0182, 0.013100005173683166, 0.9, 0.030000138044357298, -0.03333343823750814) on 142 1409199663 2026-02-20 06:33:58.009631 id_data : 182 ** BIG TIME 290.0009410381317 (1989.9987728595734, 3, 0, 0, 0, 0.8403337, 0, 0, 0, 0, 0, 0, 0, 0, 2.3438998298168183, 0.0219, 0.026100001072883607, 2.9, 0.23999950218200683, -0.5983303503195445) on 165 1409200284 2026-02-20 06:45:29.010940 id_data : 220 ***** BIG TIME 369.9999969005585 (2579.997433900833, 4, 0, 0, 0, 0, 0.3277673, 0, 0, 0, 0, 0, 0, 0, 2.4429999049186706, 0.0259, 0.03120009205341339, 1.9, 0.019999938011169435, -0.016666522026062013) on 201 1409202454 2026-02-20 07:02:49.009840 id_data : 259 *** BIG TIME 420.0007870197296 (2819.9973771572113, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5124483, 0, 0, 2.507999915909767, 0.0275, 0.03120009205341339, 2.9, 0.2800001130104065, -0.43333298683166505) on 216 1409204440 2026-02-20 07:14:29.010740 id_data : 275 ** BIG TIME 289.9997959136963 (3049.9965591430664, 2, 0, 0, 0.73042715, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.5729999236106873, 0.029, 0.034200111842155455, 3.9, 0.1999990921020508, -0.233333846728007) on 227 1409205109 2026-02-20 07:23:09.009826 id_data : 290 * BIG TIME 330.0009078979492 (3249.997819185257, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9273726, 0, 0, 0, 2.620999906206131, 0.0308, 0.034200111842155455, 1.9, 0.19000003004074095, -0.3000002117951711) on 244 1409205649 2026-02-20 07:31:49.010764 id_data : 308 ** BIG TIME 310.0007300376892 (3399.9962134361267, 0, 0.821593, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.6689999360084533, 0.032, 0.034200111842155455, 1.9, 0.14999939012527466, -0.1666669468084971) on 255 1409207067 2026-02-20 07:39:29.010884 id_data : 320 Unexpected type of data : ({'photo_id': 1409208988, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/1805c5f7b6c5d17b8ff60f2acfbb51f6.jpg', 'username': None, 'uploaded_at': 1771570043, 'text': 'image_20022026_07_46_08_9963.jpg', 'time': 1771573568.009963}, 'different') Unexpected type of data : ({'photo_id': 1409208989, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/c053591ab95552ab7140622023843ac0.jpg', 'username': None, 'uploaded_at': 1771570043, 'text': 'image_20022026_07_46_29_11010.jpg', 'time': 1771573589.01101}, 'different') Unexpected type of data : ({'photo_id': 1409208990, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/f402bec981d0c89986e224729e5e1847.jpg', 'username': None, 'uploaded_at': 1771570043, 'text': 'image_20022026_07_46_39_9968.jpg', 'time': 1771573599.009968}, 'different') Unexpected type of data : ({'photo_id': 1409208991, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/db60b0b1f9c834d4a538c36db21144e9.jpg', 'username': None, 'uploaded_at': 1771570043, 'text': 'image_20022026_07_46_49_10067.jpg', 'time': 1771573609.010067}, 'different') Unexpected type of data : ({'photo_id': 1409209033, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/9786c445c3cb2ed5f57a0ff77371ff06.jpg', 'username': None, 'uploaded_at': 1771570103, 'text': 'image_20022026_07_46_59_10050.jpg', 'time': 1771573619.01005}, 'different') Unexpected type of data : ({'photo_id': 1409209034, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/1216db1412b5e76ac26f6036ebd8e288.jpg', 'username': None, 'uploaded_at': 1771570103, 'text': 'image_20022026_07_47_08_8939.jpg', 'time': 1771573628.008939}, 'different') Unexpected type of data : ({'photo_id': 1409209047, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/404bea86d8eeda14172aaafc642675a7.jpg', 'username': None, 'uploaded_at': 1771570103, 'text': 'image_20022026_07_47_18_9965.jpg', 'time': 1771573638.009965}, 'different') Unexpected type of data : ({'photo_id': 1409209084, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/5cba02936e5818af4156a9ee45a2b07a.jpg', 'username': None, 'uploaded_at': 1771570103, 'text': 'image_20022026_07_47_28_10058.jpg', 'time': 1771573648.010058}, 'different') Unexpected type of data : ({'photo_id': 1409209113, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/1b79f7e5406de04c2a88dbb8f7d7318f.jpg', 'username': None, 'uploaded_at': 1771570103, 'text': 'image_20022026_07_47_38_10041.jpg', 'time': 1771573658.010041}, 'different') Unexpected type of data : ({'photo_id': 1409209116, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/4e19d2ecc7f3e8b149d7e3d3063cb902.jpg', 'username': None, 'uploaded_at': 1771570103, 'text': 'image_20022026_07_47_48_10014.jpg', 'time': 1771573668.010014}, 'different') Unexpected type of data : ({'photo_id': 1409209281, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/d51197020bdc9e65980d33b833585676.jpg', 'username': None, 'uploaded_at': 1771570183, 'text': 'image_20022026_07_47_58_10058.jpg', 'time': 1771573678.010058}, 'different') Unexpected type of data : ({'photo_id': 1409209283, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2df92286d4f5fca18df39fdd00fba346.jpg', 'username': None, 'uploaded_at': 1771570183, 'text': 'image_20022026_07_48_09_10269.jpg', 'time': 1771573689.010269}, 'different') Unexpected type of data : ({'photo_id': 1409209298, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/82759ef89b798e30c70ef98309cab0bb.jpg', 'username': None, 'uploaded_at': 1771570183, 'text': 'image_20022026_07_48_19_9953.jpg', 'time': 1771573699.009953}, 'different') Unexpected type of data : ({'photo_id': 1409209299, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/330842d0a9905046572f94e26ad8014b.jpg', 'username': None, 'uploaded_at': 1771570183, 'text': 'image_20022026_07_48_49_9758.jpg', 'time': 1771573729.009758}, 'different') Unexpected type of data : ({'photo_id': 1409209365, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/5895f80eba0f4a552b73a7b56b171e4a.jpg', 'username': None, 'uploaded_at': 1771570222, 'text': 'image_20022026_07_48_59_10008.jpg', 'time': 1771573739.010008}, 'different') Unexpected type of data : ({'photo_id': 1409209366, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/5e9ea0ed0fd8173512b061ed4408bcde.jpg', 'username': None, 'uploaded_at': 1771570222, 'text': 'image_20022026_07_49_09_10211.jpg', 'time': 1771573749.010211}, 'different') Unexpected type of data : ({'photo_id': 1409209367, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/780250d3f96a0cf2abcca3e04ea08dda.jpg', 'username': None, 'uploaded_at': 1771570222, 'text': 'image_20022026_07_49_29_9623.jpg', 'time': 1771573769.009623}, 'different') Unexpected type of data : ({'photo_id': 1409209372, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/510efd995c7112a3deb408a5fbef65ef.jpg', 'username': None, 'uploaded_at': 1771570222, 'text': 'image_20022026_07_49_39_9983.jpg', 'time': 1771573779.009983}, 'different') Unexpected type of data : ({'photo_id': 1409209376, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/ba9a6cc70c670d83c46249e48786bff1.jpg', 'username': None, 'uploaded_at': 1771570222, 'text': 'image_20022026_07_49_49_10033.jpg', 'time': 1771573789.010033}, 'different') Unexpected type of data : ({'photo_id': 1409209570, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/0732e7fef814d92bff5d2a26f8057c70.jpg', 'username': None, 'uploaded_at': 1771570282, 'text': 'image_20022026_07_49_59_9956.jpg', 'time': 1771573799.009956}, 'different') Unexpected type of data : ({'photo_id': 1409209595, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/394c033ef94e10945f582f6ce017c3d6.jpg', 'username': None, 'uploaded_at': 1771570282, 'text': 'image_20022026_07_50_09_10275.jpg', 'time': 1771573809.010275}, 'different') Unexpected type of data : ({'photo_id': 1409209622, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/473bb35b2459402b19b71612f3a2a700.jpg', 'username': None, 'uploaded_at': 1771570282, 'text': 'image_20022026_07_50_19_9928.jpg', 'time': 1771573819.009928}, 'different') Unexpected type of data : ({'photo_id': 1409209641, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2422041a1364c693a80598609d4253bf.jpg', 'username': None, 'uploaded_at': 1771570282, 'text': 'image_20022026_07_50_29_9892.jpg', 'time': 1771573829.009892}, 'different') Unexpected type of data : ({'photo_id': 1409209663, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/c9c96d6bb93acbd908444c2b100bdf62.jpg', 'username': None, 'uploaded_at': 1771570282, 'text': 'image_20022026_07_50_39_10121.jpg', 'time': 1771573839.010121}, 'different') Unexpected type of data : ({'photo_id': 1409209723, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/59be50194cf46da8b57d203a82d6b252.jpg', 'username': None, 'uploaded_at': 1771570282, 'text': 'image_20022026_07_50_49_10069.jpg', 'time': 1771573849.010069}, 'different') Unexpected type of data : ({'photo_id': 1409211160, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/fc0ce5e4d6f1cdafc304b5a2d3e12bf6.jpg', 'username': None, 'uploaded_at': 1771570663, 'text': 'image_20022026_07_56_39_10881.jpg', 'time': 1771574199.010881}, 'different') Unexpected type of data : ({'photo_id': 1409211185, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/dcc616b970d6478e9c5f16766c04c0af.jpg', 'username': None, 'uploaded_at': 1771570663, 'text': 'image_20022026_07_56_49_9797.jpg', 'time': 1771574209.009797}, 'different') Unexpected type of data : ({'photo_id': 1409211276, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/f30ac4aa715f120cd30fdc0b556c5c5d.jpg', 'username': None, 'uploaded_at': 1771570703, 'text': 'image_20022026_07_56_59_9807.jpg', 'time': 1771574219.009807}, 'different') Unexpected type of data : ({'photo_id': 1409211277, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/1b9c355259c4897bfc78a01583eeffd0.jpg', 'username': None, 'uploaded_at': 1771570703, 'text': 'image_20022026_07_57_09_9868.jpg', 'time': 1771574229.009868}, 'different') Unexpected type of data : ({'photo_id': 1409211278, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/753fcad026e5ddc0144529d81637d78b.jpg', 'username': None, 'uploaded_at': 1771570703, 'text': 'image_20022026_07_57_19_9882.jpg', 'time': 1771574239.009882}, 'different') Unexpected type of data : ({'photo_id': 1409211316, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/5d93101ffe217b677dff41f7ba251e87.jpg', 'username': None, 'uploaded_at': 1771570703, 'text': 'image_20022026_07_57_29_9906.jpg', 'time': 1771574249.009906}, 'different') Unexpected type of data : ({'photo_id': 1409211338, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3b788e905bfac319c6d8b52a722cd5e2.jpg', 'username': None, 'uploaded_at': 1771570703, 'text': 'image_20022026_07_57_39_9919.jpg', 'time': 1771574259.009919}, 'different') Unexpected type of data : ({'photo_id': 1409211348, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/429d2c76367c0317ac146d7c320c404c.jpg', 'username': None, 'uploaded_at': 1771570703, 'text': 'image_20022026_07_57_48_9880.jpg', 'time': 1771574268.00988}, 'different') Unexpected type of data : ({'photo_id': 1409211678, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/6bc3ab892a54243985c3054dd73680f5.jpg', 'username': None, 'uploaded_at': 1771570804, 'text': 'image_20022026_07_57_58_9854.jpg', 'time': 1771574278.009854}, 'different') Unexpected type of data : ({'photo_id': 1409211722, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/dafd8126e95ac78a5eeedde011915e6a.jpg', 'username': None, 'uploaded_at': 1771570804, 'text': 'image_20022026_07_58_08_9948.jpg', 'time': 1771574288.009948}, 'different') Unexpected type of data : ({'photo_id': 1409211782, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/4d7ba656de462519f138945636ca70f7.jpg', 'username': None, 'uploaded_at': 1771570804, 'text': 'image_20022026_07_58_19_11086.jpg', 'time': 1771574299.011086}, 'different') Unexpected type of data : ({'photo_id': 1409211857, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/7c59795c6e6e154ee3cde47f9e03f1ab.jpg', 'username': None, 'uploaded_at': 1771570804, 'text': 'image_20022026_07_58_29_9882.jpg', 'time': 1771574309.009882}, 'different') Unexpected type of data : ({'photo_id': 1409211927, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/85d4f466e55d485ca83a737a2aff1826.jpg', 'username': None, 'uploaded_at': 1771570804, 'text': 'image_20022026_07_58_39_9835.jpg', 'time': 1771574319.009835}, 'different') Unexpected type of data : ({'photo_id': 1409211955, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/d1e684f4ffcb8fd10c6bf8c833726ac7.jpg', 'username': None, 'uploaded_at': 1771570804, 'text': 'image_20022026_07_58_49_9835.jpg', 'time': 1771574329.009835}, 'different') Unexpected type of data : ({'photo_id': 1409212517, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/5c283e4bd91789c00802e683132b1d43.jpg', 'username': None, 'uploaded_at': 1771570863, 'text': 'image_20022026_07_58_59_9871.jpg', 'time': 1771574339.009871}, 'different') Unexpected type of data : ({'photo_id': 1409212573, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/977d6b8f9e325f7c19f24814b2fb23d0.jpg', 'username': None, 'uploaded_at': 1771570863, 'text': 'image_20022026_07_59_29_9915.jpg', 'time': 1771574369.009915}, 'different') Unexpected type of data : ({'photo_id': 1409212613, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/b44cc1d9aec5b2966dfb953a6c974fff.jpg', 'username': None, 'uploaded_at': 1771570863, 'text': 'image_20022026_07_59_38_9840.jpg', 'time': 1771574378.00984}, 'different') Unexpected type of data : ({'photo_id': 1409214980, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/8c41ebceff77923d76bb82156678a145.jpg', 'username': None, 'uploaded_at': 1771571103, 'text': 'image_20022026_08_04_29_10851.jpg', 'time': 1771574669.010851}, 'different') Unexpected type of data : ({'photo_id': 1409215050, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/6f51a7e0f864ed844575bf96615fbabe.jpg', 'username': None, 'uploaded_at': 1771571122, 'text': 'image_20022026_08_04_39_9877.jpg', 'time': 1771574679.009877}, 'different') Unexpected type of data : ({'photo_id': 1409215073, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/8d34f61267ee00c58239fd5684b7d44f.jpg', 'username': None, 'uploaded_at': 1771571122, 'text': 'image_20022026_08_04_49_9890.jpg', 'time': 1771574689.00989}, 'different') Unexpected type of data : ({'photo_id': 1409215329, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/649786587d40395fabf8fd2e19a84c23.jpg', 'username': None, 'uploaded_at': 1771571182, 'text': 'image_20022026_08_04_59_9916.jpg', 'time': 1771574699.009916}, 'different') Unexpected type of data : ({'photo_id': 1409215331, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/50edffd38060f97fcfaab21cf3182e82.jpg', 'username': None, 'uploaded_at': 1771571182, 'text': 'image_20022026_08_05_09_10256.jpg', 'time': 1771574709.010256}, 'different') Unexpected type of data : ({'photo_id': 1409215333, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/197d455ca18b7bab1cd2c34942a500b2.jpg', 'username': None, 'uploaded_at': 1771571182, 'text': 'image_20022026_08_05_19_9945.jpg', 'time': 1771574719.009945}, 'different') Unexpected type of data : ({'photo_id': 1409215362, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/e6856ca5b7bdadd394df7cd5144fa011.jpg', 'username': None, 'uploaded_at': 1771571182, 'text': 'image_20022026_08_05_39_10027.jpg', 'time': 1771574739.010027}, 'different') Unexpected type of data : ({'photo_id': 1409215401, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/ea0288380cc3ac1819798c239f78ac9d.jpg', 'username': None, 'uploaded_at': 1771571182, 'text': 'image_20022026_08_05_49_9974.jpg', 'time': 1771574749.009974}, 'different') Unexpected type of data : ({'photo_id': 1409215437, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/ec7fcc89028ab68bb43f62318e27c77b.jpg', 'username': None, 'uploaded_at': 1771571242, 'text': 'image_20022026_08_05_59_9881.jpg', 'time': 1771574759.009881}, 'different') Unexpected type of data : ({'photo_id': 1409216265, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/a9cc1489bfa70305382e763f1f7a9c4a.jpg', 'username': None, 'uploaded_at': 1771571603, 'text': 'image_20022026_08_12_29_10712.jpg', 'time': 1771575149.010712}, 'different') Unexpected type of data : ({'photo_id': 1409216280, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/f754cd8fee42a2b0be0863ae77131715.jpg', 'username': None, 'uploaded_at': 1771571603, 'text': 'image_20022026_08_12_39_9863.jpg', 'time': 1771575159.009863}, 'different') Unexpected type of data : ({'photo_id': 1409216295, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/ae84f390608e6f399fb21b11ccb2d2aa.jpg', 'username': None, 'uploaded_at': 1771571603, 'text': 'image_20022026_08_12_49_9945.jpg', 'time': 1771575169.009945}, 'different') Unexpected type of data : ({'photo_id': 1409216579, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3ab54a73f896104641c5be3dd7de11e1.jpg', 'username': None, 'uploaded_at': 1771571662, 'text': 'image_20022026_08_12_59_9904.jpg', 'time': 1771575179.009904}, 'different') Unexpected type of data : ({'photo_id': 1409216580, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/0e997e969d37cc807561db0a0e0faa14.jpg', 'username': None, 'uploaded_at': 1771571662, 'text': 'image_20022026_08_13_09_10055.jpg', 'time': 1771575189.010055}, 'different') Unexpected type of data : ({'photo_id': 1409216586, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/5815fc9d178dcd51724cea264de01c11.jpg', 'username': None, 'uploaded_at': 1771571662, 'text': 'image_20022026_08_13_19_9893.jpg', 'time': 1771575199.009893}, 'different') Unexpected type of data : ({'photo_id': 1409216605, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/4c59242074670588d459148e4def1de1.jpg', 'username': None, 'uploaded_at': 1771571662, 'text': 'image_20022026_08_13_39_9926.jpg', 'time': 1771575219.009926}, 'different') Unexpected type of data : ({'photo_id': 1409216613, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/05c5a29034bd6cbc9a90f91db80a66a4.jpg', 'username': None, 'uploaded_at': 1771571662, 'text': 'image_20022026_08_13_49_9946.jpg', 'time': 1771575229.009946}, 'different') Unexpected type of data : ({'photo_id': 1409216925, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/eb2ca59b5bc12135fe5fb030e976ccb0.jpg', 'username': None, 'uploaded_at': 1771571722, 'text': 'image_20022026_08_13_58_9907.jpg', 'time': 1771575238.009907}, 'different') Unexpected type of data : ({'photo_id': 1409217861, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2ce391c36a7960f02361a37e1e7e19e1.jpg', 'username': None, 'uploaded_at': 1771571962, 'text': 'image_20022026_08_18_39_10952.jpg', 'time': 1771575519.010952}, 'different') Unexpected type of data : ({'photo_id': 1409217923, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/4a42c9ab209d1af10155d3fa454e5e7e.jpg', 'username': None, 'uploaded_at': 1771571962, 'text': 'image_20022026_08_18_49_9868.jpg', 'time': 1771575529.009868}, 'different') Unexpected type of data : ({'photo_id': 1409218298, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/400a12f4be117df8f377c1785ca7b702.jpg', 'username': None, 'uploaded_at': 1771572023, 'text': 'image_20022026_08_18_59_9792.jpg', 'time': 1771575539.009792}, 'different') Unexpected type of data : ({'photo_id': 1409218323, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/f113eeef2701a1bfc663b0e75323117c.jpg', 'username': None, 'uploaded_at': 1771572023, 'text': 'image_20022026_08_19_09_10105.jpg', 'time': 1771575549.010105}, 'different') Unexpected type of data : ({'photo_id': 1409218343, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3409ccf2b02738fa2f3c919f24406845.jpg', 'username': None, 'uploaded_at': 1771572023, 'text': 'image_20022026_08_19_19_9963.jpg', 'time': 1771575559.009963}, 'different') Unexpected type of data : ({'photo_id': 1409218370, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/8c3e15204892301556e3e10f24981fd8.jpg', 'username': None, 'uploaded_at': 1771572023, 'text': 'image_20022026_08_19_29_10081.jpg', 'time': 1771575569.010081}, 'different') Unexpected type of data : ({'photo_id': 1409218383, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2f84fafb9ce27f52ed6d321d584ed40a.jpg', 'username': None, 'uploaded_at': 1771572023, 'text': 'image_20022026_08_19_39_10060.jpg', 'time': 1771575579.01006}, 'different') Unexpected type of data : ({'photo_id': 1409218414, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/7e7ef2c65240eef01a323ba6a4d499aa.jpg', 'username': None, 'uploaded_at': 1771572023, 'text': 'image_20022026_08_19_49_10084.jpg', 'time': 1771575589.010084}, 'different') Unexpected type of data : ({'photo_id': 1409218589, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/f3173f31df96a5f54fe453b7104c11fd.jpg', 'username': None, 'uploaded_at': 1771572083, 'text': 'image_20022026_08_19_59_9995.jpg', 'time': 1771575599.009995}, 'different') Unexpected type of data : ({'photo_id': 1409218643, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/c4fca2efa999f758d5e66897d20db8b4.jpg', 'username': None, 'uploaded_at': 1771572083, 'text': 'image_20022026_08_20_09_9179.jpg', 'time': 1771575609.009179}, 'different') Unexpected type of data : ({'photo_id': 1409218680, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2f5d3e8f2b71885391b11b54954c6d8f.jpg', 'username': None, 'uploaded_at': 1771572083, 'text': 'image_20022026_08_20_19_10032.jpg', 'time': 1771575619.010032}, 'different') Unexpected type of data : ({'photo_id': 1409218718, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/58dc4d2a5821755ce47dd4aa8652ea13.jpg', 'username': None, 'uploaded_at': 1771572083, 'text': 'image_20022026_08_20_29_9988.jpg', 'time': 1771575629.009988}, 'different') Unexpected type of data : ({'photo_id': 1409218754, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/0cc1430bc5e0ccda2fa09c537a7ea171.jpg', 'username': None, 'uploaded_at': 1771572083, 'text': 'image_20022026_08_20_38_9865.jpg', 'time': 1771575638.009865}, 'different') Unexpected type of data : ({'photo_id': 1409218947, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/0148efb193d31ea85470a07806707c00.jpg', 'username': None, 'uploaded_at': 1771572143, 'text': 'image_20022026_08_20_58_9996.jpg', 'time': 1771575658.009996}, 'different') Unexpected type of data : ({'photo_id': 1409218954, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2d21d235c595e5495e1e6f7e1a35d7e5.jpg', 'username': None, 'uploaded_at': 1771572143, 'text': 'image_20022026_08_21_09_10327.jpg', 'time': 1771575669.010327}, 'different') Unexpected type of data : ({'photo_id': 1409218957, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/4aade190bfcec680f4817716ccb008a6.jpg', 'username': None, 'uploaded_at': 1771572143, 'text': 'image_20022026_08_21_19_10068.jpg', 'time': 1771575679.010068}, 'different') Unexpected type of data : ({'photo_id': 1409218960, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/a2242564c772d906e560a8f6ac7ddfc0.jpg', 'username': None, 'uploaded_at': 1771572143, 'text': 'image_20022026_08_21_29_10017.jpg', 'time': 1771575689.010017}, 'different') Unexpected type of data : ({'photo_id': 1409218987, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/e5a78d9b1df28c5c9d81bee41d78721d.jpg', 'username': None, 'uploaded_at': 1771572143, 'text': 'image_20022026_08_21_39_10054.jpg', 'time': 1771575699.010054}, 'different') Unexpected type of data : ({'photo_id': 1409218994, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2b090b13753381a6c6530fcecaac0718.jpg', 'username': None, 'uploaded_at': 1771572143, 'text': 'image_20022026_08_21_49_9920.jpg', 'time': 1771575709.00992}, 'different') Unexpected type of data : ({'photo_id': 1409219003, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/86b62e1794e253f332007c77401cd22b.jpg', 'username': None, 'uploaded_at': 1771572223, 'text': 'image_20022026_08_21_59_9960.jpg', 'time': 1771575719.00996}, 'different') Unexpected type of data : ({'photo_id': 1409219004, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/fb457ef862bc6a4c31cb938c4b875679.jpg', 'username': None, 'uploaded_at': 1771572223, 'text': 'image_20022026_08_22_09_10155.jpg', 'time': 1771575729.010155}, 'different') Unexpected type of data : ({'photo_id': 1409219005, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/272906dd6d657b89288d149c4dcc1180.jpg', 'username': None, 'uploaded_at': 1771572262, 'text': 'image_20022026_08_22_59_9951.jpg', 'time': 1771575779.009951}, 'different') Unexpected type of data : ({'photo_id': 1409219006, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/0b3454f477dbd40adb41f6c0cac38110.jpg', 'username': None, 'uploaded_at': 1771572262, 'text': 'image_20022026_08_23_09_10147.jpg', 'time': 1771575789.010147}, 'different') Unexpected type of data : ({'photo_id': 1409219007, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/cebd26024ac8faf47acbff7d738deb40.jpg', 'username': None, 'uploaded_at': 1771572262, 'text': 'image_20022026_08_23_18_9806.jpg', 'time': 1771575798.009806}, 'different') Unexpected type of data : ({'photo_id': 1409219008, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/b5c362e841670f026b3d58d7b1fb1a4f.jpg', 'username': None, 'uploaded_at': 1771572262, 'text': 'image_20022026_08_23_49_11145.jpg', 'time': 1771575829.011145}, 'different') Unexpected type of data : ({'photo_id': 1409219091, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/035686aa19d1b36ac701376271f0577d.jpg', 'username': None, 'uploaded_at': 1771572342, 'text': 'image_20022026_08_23_59_9896.jpg', 'time': 1771575839.009896}, 'different') Unexpected type of data : ({'photo_id': 1409219238, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2b3003d2729bb3b48403eb67ae3f65c9.jpg', 'username': None, 'uploaded_at': 1771572603, 'text': 'image_20022026_08_29_28_9896.jpg', 'time': 1771576168.009896}, 'different') Count Time bigger than 30s : 41 #Number Photos for regression : {'20022026': {493546845: {2107751013: 89.99920105934143, 2107751014: 28.999185800552368, 2107751015: 121.00151324272156, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 10.000093936920166, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 228.99818801879883, 2107751015: 59.99845337867737, 2107751016: 229.99640703201294, 2107751017: 29.999916076660156}, 2107760237: {2107751013: 0, 2107751014: 30.000041961669922, 2107751015: 29.999966144561768, 2107751016: 179.99949407577515, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 79.99952030181885, 2107751015: 361.00124168395996, 2107751016: 39.99954915046692, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 429.0011832714081, 2107751015: 192.00179719924927, 2107751016: 307.9976499080658, 2107751017: 19.99828600883484}, 560181804: {2107751013: 0, 2107751014: 90.00016140937805, 2107751015: 30.0000479221344, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 11.001407146453857, 2107751015: 11.00130581855774, 2107751016: 89.00019979476929, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 237.99907898902893, 2107751015: 251.00079321861267, 2107751016: 49.99990105628967, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 20.00032091140747, 2107751015: 181.00104594230652, 2107751016: 78.9987461566925, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 40.00004482269287, 2107751015: 49.99872899055481, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 58.9995219707489, 2107751016: 0, 2107751017: 0}}} 20022026|aluminium, 05102018_papier_non_papier_dense:89.99920105934143 20022026|aluminium, 05102018_papier_non_papier_peu_dense:28.999185800552368 20022026|aluminium, 05102018_papier_non_papier_presque_vide:121.00151324272156 20022026|aluminium, 05102018_papier_non_papier_tres_dense:0 20022026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 20022026|ela, 05102018_papier_non_papier_dense:0 20022026|ela, 05102018_papier_non_papier_peu_dense:10.000093936920166 20022026|ela, 05102018_papier_non_papier_presque_vide:0 20022026|ela, 05102018_papier_non_papier_tres_dense:0 20022026|ela, 05102018_papier_non_papier_tres_peu_dense:0 20022026|emr, 05102018_papier_non_papier_dense:0 20022026|emr, 05102018_papier_non_papier_peu_dense:228.99818801879883 20022026|emr, 05102018_papier_non_papier_presque_vide:59.99845337867737 20022026|emr, 05102018_papier_non_papier_tres_dense:229.99640703201294 20022026|emr, 05102018_papier_non_papier_tres_peu_dense:29.999916076660156 20022026|film_pedb, 05102018_papier_non_papier_dense:0 20022026|film_pedb, 05102018_papier_non_papier_peu_dense:30.000041961669922 20022026|film_pedb, 05102018_papier_non_papier_presque_vide:29.999966144561768 20022026|film_pedb, 05102018_papier_non_papier_tres_dense:179.99949407577515 20022026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 20022026|flux_dev, 05102018_papier_non_papier_dense:0 20022026|flux_dev, 05102018_papier_non_papier_peu_dense:79.99952030181885 20022026|flux_dev, 05102018_papier_non_papier_presque_vide:361.00124168395996 20022026|flux_dev, 05102018_papier_non_papier_tres_dense:39.99954915046692 20022026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 20022026|jrm, 05102018_papier_non_papier_dense:0 20022026|jrm, 05102018_papier_non_papier_peu_dense:429.0011832714081 20022026|jrm, 05102018_papier_non_papier_presque_vide:192.00179719924927 20022026|jrm, 05102018_papier_non_papier_tres_dense:307.9976499080658 20022026|jrm, 05102018_papier_non_papier_tres_peu_dense:19.99828600883484 20022026|pcm, 05102018_papier_non_papier_dense:0 20022026|pcm, 05102018_papier_non_papier_peu_dense:90.00016140937805 20022026|pcm, 05102018_papier_non_papier_presque_vide:30.0000479221344 20022026|pcm, 05102018_papier_non_papier_tres_dense:0 20022026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 20022026|pcnc, 05102018_papier_non_papier_dense:0 20022026|pcnc, 05102018_papier_non_papier_peu_dense:11.001407146453857 20022026|pcnc, 05102018_papier_non_papier_presque_vide:11.00130581855774 20022026|pcnc, 05102018_papier_non_papier_tres_dense:89.00019979476929 20022026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 20022026|pehd_pp, 05102018_papier_non_papier_dense:0 20022026|pehd_pp, 05102018_papier_non_papier_peu_dense:237.99907898902893 20022026|pehd_pp, 05102018_papier_non_papier_presque_vide:251.00079321861267 20022026|pehd_pp, 05102018_papier_non_papier_tres_dense:49.99990105628967 20022026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 20022026|pet_clair, 05102018_papier_non_papier_dense:0 20022026|pet_clair, 05102018_papier_non_papier_peu_dense:20.00032091140747 20022026|pet_clair, 05102018_papier_non_papier_presque_vide:181.00104594230652 20022026|pet_clair, 05102018_papier_non_papier_tres_dense:78.9987461566925 20022026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 20022026|refus, 05102018_papier_non_papier_dense:0 20022026|refus, 05102018_papier_non_papier_peu_dense:40.00004482269287 20022026|refus, 05102018_papier_non_papier_presque_vide:49.99872899055481 20022026|refus, 05102018_papier_non_papier_tres_dense:0 20022026|refus, 05102018_papier_non_papier_tres_peu_dense:0 20022026|tapis_vide, 05102018_papier_non_papier_dense:0 20022026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 20022026|tapis_vide, 05102018_papier_non_papier_presque_vide:58.9995219707489 20022026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 20022026|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 ! 20022026_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 15 Created to study and clean : 30482241 with name like 20022026_aluminium_05102018_papier_non_papier_dense Created to study and clean : 30482242 with name like 20022026_aluminium_05102018_papier_non_papier_peu_dense Created to study and clean : 30482244 with name like 20022026_aluminium_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : ela 1 Created to study and clean : 30482245 with name like 20022026_ela_05102018_papier_non_papier_peu_dense Number amount portfolio for this type of dechet : emr 43 Created to study and clean : 30482246 with name like 20022026_emr_05102018_papier_non_papier_peu_dense Created to study and clean : 30482247 with name like 20022026_emr_05102018_papier_non_papier_presque_vide Created to study and clean : 30482248 with name like 20022026_emr_05102018_papier_non_papier_tres_dense Created to study and clean : 30482249 with name like 20022026_emr_05102018_papier_non_papier_tres_peu_dense Number amount portfolio for this type of dechet : film_pedb 23 Created to study and clean : 30482250 with name like 20022026_film_pedb_05102018_papier_non_papier_peu_dense Created to study and clean : 30482251 with name like 20022026_film_pedb_05102018_papier_non_papier_presque_vide Created to study and clean : 30482252 with name like 20022026_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 25 Created to study and clean : 30482253 with name like 20022026_flux_dev_05102018_papier_non_papier_peu_dense Created to study and clean : 30482254 with name like 20022026_flux_dev_05102018_papier_non_papier_presque_vide Created to study and clean : 30482255 with name like 20022026_flux_dev_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : jrm 73 Created to study and clean : 30482256 with name like 20022026_jrm_05102018_papier_non_papier_peu_dense Created to study and clean : 30482257 with name like 20022026_jrm_05102018_papier_non_papier_presque_vide Created to study and clean : 30482258 with name like 20022026_jrm_05102018_papier_non_papier_tres_dense Created to study and clean : 30482259 with name like 20022026_jrm_05102018_papier_non_papier_tres_peu_dense Number amount portfolio for this type of dechet : pcm 11 Number amount portfolio for this type of dechet : pcnc 10 Number amount portfolio for this type of dechet : pehd_pp 51 Created to study and clean : 30482260 with name like 20022026_pehd_pp_05102018_papier_non_papier_peu_dense Created to study and clean : 30482261 with name like 20022026_pehd_pp_05102018_papier_non_papier_presque_vide Created to study and clean : 30482262 with name like 20022026_pehd_pp_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pet_clair 15 Created to study and clean : 30482263 with name like 20022026_pet_clair_05102018_papier_non_papier_peu_dense Created to study and clean : 30482264 with name like 20022026_pet_clair_05102018_papier_non_papier_presque_vide Created to study and clean : 30482265 with name like 20022026_pet_clair_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : refus 7 Created to study and clean : 30482266 with name like 20022026_refus_05102018_papier_non_papier_peu_dense Created to study and clean : 30482267 with name like 20022026_refus_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : tapis_vide 1 Created to study and clean : 30482268 with name like 20022026_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 20 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 ! 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': '20022026', 'map_nb_amount': {0: 8, 1: 9, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 79.99985098838806, 1: 90.00025582313538, 2: 9.999857187271118, 3: 0, 4: 0}, 'duration': 190.0000340938568, 'nb_balles_papier': 0.18099996399879462, 'begin_time_port': 'image_20022026_05_24_29_009796m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.18099996399879462 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_flux_dev:{'day': '20022026', 'map_nb_amount': {0: 2, 1: 4, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 10.0000581741333, 1: 60.000377893447876, 2: 29.999495029449463, 3: 0, 4: 0}, 'duration': 99.99993109703064, 'nb_balles_papier': 0.10099993109703065, 'begin_time_port': 'image_20022026_05_35_19_009920m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.10099993109703065 We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '20022026', 'map_nb_amount': {0: 7, 1: 6, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 68.99899506568909, 1: 50.00109004974365, 2: 30.00006890296936, 3: 0, 4: 0}, 'duration': 149.0001540184021, 'nb_balles_papier': 0.1500001540184021, 'begin_time_port': 'image_20022026_05_43_29_009674m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1500001540184021 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': '20022026', 'map_nb_amount': {0: 4, 1: 2, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 29.9998779296875, 1: 20.00004005432129, 2: 51.00025510787964, 3: 0, 4: 0}, 'duration': 101.00017309188843, 'nb_balles_papier': 0.10200017309188843, 'begin_time_port': 'image_20022026_05_52_58_009728m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.10200017309188843 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': '20022026', 'map_nb_amount': {0: 4, 1: 2, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 29.9998779296875, 1: 20.00004005432129, 2: 51.00025510787964, 3: 0, 4: 0}, 'duration': 101.00017309188843, 'nb_balles_papier': 0.10200017309188843, 'begin_time_port': 'image_20022026_05_52_58_009728m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.10200017309188843 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': '20022026', 'map_nb_amount': {0: 36, 1: 14, 2: 26, 3: 2, 4: 0}, 'map_time_amount': {0: 449.00121426582336, 1: 192.00179719924927, 2: 307.9976499080658, 3: 19.99828600883484, 4: 0}, 'duration': 1299.9998660087585, 'nb_balles_papier': 0.970998947381973, 'begin_time_port': 'image_20022026_05_59_09_009763m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.970998947381973 hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '20022026', 'map_nb_amount': {0: 1, 1: 7, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 10.000047206878662, 1: 119.99908995628357, 2: 0, 3: 0, 4: 0}, 'duration': 69.99889612197876, 'nb_balles_papier': 0.12999913716316225, 'begin_time_port': 'image_20022026_06_25_29_011010m0.jpg 0.060000241041183476 for time 60.00024104118347, id_amount 2 this amount prod time diff : 0.060000241041183476'} Production hashtag (incorrect ponderation at 20-10-18) : 0.12999913716316225 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': '20022026', 'map_nb_amount': {0: 4, 1: 1, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 60.00050902366638, 1: 9.999597072601318, 2: 0, 3: 0, 4: 0}, 'duration': 50.00010395050049, 'nb_balles_papier': 0.07000010609626771, 'begin_time_port': 'image_20022026_06_27_59_009962m0.jpg 0.020000002145767214 for time 20.000002145767212, id_amount 1 this amount prod time diff : 0.020000002145767214'} Production hashtag (incorrect ponderation at 20-10-18) : 0.07000010609626771 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': '20022026', 'map_nb_amount': {0: 3, 1: 3, 2: 18, 3: 0, 4: 0}, 'map_time_amount': {0: 30.000041961669922, 1: 29.999966144561768, 2: 179.99949407577515, 3: 0, 4: 0}, 'duration': 369.99946117401123, 'nb_balles_papier': 0.24099950218200683, 'begin_time_port': 'image_20022026_06_33_58_009631m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.24099950218200683 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': '20022026', 'map_nb_amount': {0: 7, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 69.999990940094, 1: 19.999704122543335, 2: 69.99941897392273, 3: 0, 4: 0}, 'duration': 179.999116897583, 'nb_balles_papier': 0.1609991140365601, 'begin_time_port': 'image_20022026_06_45_29_010940m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1609991140365601 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': '20022026', 'map_nb_amount': {0: 7, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 69.999990940094, 1: 19.999704122543335, 2: 69.99941897392273, 3: 0, 4: 0}, 'duration': 179.999116897583, 'nb_balles_papier': 0.1609991140365601, 'begin_time_port': 'image_20022026_06_45_29_010940m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1609991140365601 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_flux_dev:{'day': '20022026', 'map_nb_amount': {0: 9, 1: 12, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 89.99949908256531, 1: 331.0007109642029, 2: 10.000054121017456, 3: 0, 4: 0}, 'duration': 290.0001301765442, 'nb_balles_papier': 0.4310002641677856, 'begin_time_port': 'image_20022026_06_51_49_009713m0.jpg 0.14100013399124145 for time 141.00013399124146, id_amount 2 this amount prod time diff : 0.14100013399124145'} Production hashtag (incorrect ponderation at 20-10-18) : 0.4310002641677856 We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '20022026', 'map_nb_amount': {0: 2, 1: 11, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 20.00032091140747, 1: 181.00104594230652, 2: 78.9987461566925, 3: 0, 4: 0}, 'duration': 280.0001130104065, 'nb_balles_papier': 0.2810001130104065, 'begin_time_port': 'image_20022026_07_02_49_009840m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2810001130104065 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': '20022026', 'map_nb_amount': {0: 4, 1: 1, 2: 5, 3: 1, 4: 0}, 'map_time_amount': {0: 119.99887895584106, 1: 9.999966144561768, 2: 50.00025391578674, 3: 19.999993085861206, 4: 0}, 'duration': 140.0003080368042, 'nb_balles_papier': 0.1999990921020508, 'begin_time_port': 'image_20022026_07_15_59_009722m0.jpg 0.08999898195266724 for time 89.99898195266724, id_amount 1 this amount prod time diff : 0.08999898195266724'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1999990921020508 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': '20022026', 'map_nb_amount': {0: 4, 1: 1, 2: 5, 3: 1, 4: 0}, 'map_time_amount': {0: 119.99887895584106, 1: 9.999966144561768, 2: 50.00025391578674, 3: 19.999993085861206, 4: 0}, 'duration': 140.0003080368042, 'nb_balles_papier': 0.1999990921020508, 'begin_time_port': 'image_20022026_07_15_59_009722m0.jpg 0.08999898195266724 for time 89.99898195266724, id_amount 1 this amount prod time diff : 0.08999898195266724'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1999990921020508 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': '20022026', 'map_nb_amount': {0: 7, 1: 10, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 89.00023293495178, 1: 90.99982213973999, 2: 9.999974966049194, 3: 0, 4: 0}, 'duration': 190.00003004074097, 'nb_balles_papier': 0.19100003004074095, 'begin_time_port': 'image_20022026_07_23_09_009826m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.19100003004074095 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! id_amount : 0 id_amount : 0 id_amount : 0 id_amount : 0 id_amount : 0 result_one_balle_Type_aluminium:{'day': '20022026', 'map_nb_amount': {0: 2, 1: 5, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 18.998816967010498, 1: 41.00137209892273, 2: 0, 3: 0, 4: 0}, 'duration': 149.99939012527466, 'nb_balles_papier': 0.15099939012527466, 'begin_time_port': 'image_20022026_07_31_49_010764m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.15099939012527466 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! 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 9 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 17 list_same_port_ids : [30481121] find same portfolio which already exist 30481121 , we will use it list_same_port_ids : [30481861] find same portfolio which already exist 30481861 , we will use it list_same_port_ids : [30481862] find same portfolio which already exist 30481862 , we will use it list_same_port_ids : [30481863] find same portfolio which already exist 30481863 , we will use it list_same_port_ids : [30481863] find same portfolio which already exist 30481863 , we will use it list_same_port_ids : [30481864] find same portfolio which already exist 30481864 , we will use it list_same_port_ids : [30481865] find same portfolio which already exist 30481865 , we will use it list_same_port_ids : [30481866] find same portfolio which already exist 30481866 , we will use it list_same_port_ids : [30481867] find same portfolio which already exist 30481867 , we will use it list_same_port_ids : [30481868] find same portfolio which already exist 30481868 , we will use it list_same_port_ids : [30481868] find same portfolio which already exist 30481868 , we will use it list_same_port_ids : [30481869] find same portfolio which already exist 30481869 , we will use it list_same_port_ids : [30481870] find same portfolio which already exist 30481870 , we will use it list_same_port_ids : [30481871] find same portfolio which already exist 30481871 , we will use it list_same_port_ids : [30481871] find same portfolio which already exist 30481871 , we will use it list_same_port_ids : [30481872] find same portfolio which already exist 30481872 , we will use it list_same_port_ids : [30481873] find same portfolio which already exist 30481873 , we will use it Qualite : 0.10166387425762102 # 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`=30481121 AND mptpi.`type`=4211 To do Qualite : 0.16491817161289918 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=30481861 AND mptpi.`type`=4200 To do Qualite : 0.09495730848976518 # 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`=30481862 AND mptpi.`type`=4211 To do Qualite : 0.08018694212374451 # 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`=30481863 AND mptpi.`type`=4207 To do Qualite : 0.08018694212374451 # 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`=30481863 AND mptpi.`type`=4207 To do Qualite : 0.062188993822059335 # 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`=30481864 AND mptpi.`type`=3726 To do Qualite : 0.20134432568962185 # 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`=30481865 AND mptpi.`type`=3594 To do Qualite : 0.036940557632036256 # 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`=30481866 AND mptpi.`type`=4209 To do Qualite : 0.12882678681142393 # 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`=30481867 AND mptpi.`type`=4461 To do Qualite : 0.0747774167973384 # 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`=30481868 AND mptpi.`type`=4207 To do Qualite : 0.0747774167973384 # 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`=30481868 AND mptpi.`type`=4207 To do Qualite : 0.18807706043216688 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=30481869 AND mptpi.`type`=4200 To do Qualite : 0.08535760936805775 # 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`=30481870 AND mptpi.`type`=3327 To do Qualite : 0.07565654995187622 # 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`=30481871 AND mptpi.`type`=4207 To do Qualite : 0.07565654995187622 # 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`=30481871 AND mptpi.`type`=4207 To do Qualite : 0.09822884683509463 # 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`=30481872 AND mptpi.`type`=4211 To do Qualite : 0.07560046631644195 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=30481873 AND mptpi.`type`=4205 To do elapsed_time : count_nb_balles_and_create_portfolio 169.2980055809021 # DISPLAY ALL COLLECTED DATA : {'20022026': {'nb_upload': 428, 'nb_taggue_class': 332, 'nb_taggue_densite': 332, 'nb_descriptors': 339, 'number_port': 20, 'count_photo_in_port': 286, 'nb_port_per_class': {'aluminium': {'nb_photos': 12, 'nb_portfolios': 1}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 41, 'nb_portfolios': 5}, 'film_pedb': {'nb_photos': 24, 'nb_portfolios': 1}, 'flux_dev': {'nb_photos': 31, 'nb_portfolios': 2}, 'jrm': {'nb_photos': 78, 'nb_portfolios': 1}, 'pcm': {'nb_photos': 7, 'nb_portfolios': 2}, 'pcnc': {'nb_photos': 15, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 52, 'nb_portfolios': 3}, 'pet_clair': {'nb_photos': 16, 'nb_portfolios': 1}, 'refus': {'nb_photos': 10, 'nb_portfolios': 2}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1409219238, 1409219091, 1409219008, 1409219007, 1409219006, 1409219005, 1409219004, 1409219003, 1409218994, 1409218987, 1409218960, 1409218957, 1409218954, 1409218947, 1409218754, 1409218718, 1409218680, 1409218643, 1409218589, 1409218414, 1409218383, 1409218370, 1409218343, 1409218323, 1409218298, 1409217923, 1409217861, 1409216925, 1409216613, 1409216605, 1409216586, 1409216580, 1409216579, 1409216295, 1409216280, 1409216265, 1409215437, 1409215401, 1409215362, 1409215333, 1409215331, 1409215329, 1409215073, 1409215050, 1409214980, 1409212613, 1409212573, 1409212517, 1409211955, 1409211927, 1409211857, 1409211782, 1409211722, 1409211678, 1409211348, 1409211338, 1409211316, 1409211278, 1409211277, 1409211276, 1409211185, 1409211160, 1409209723, 1409209663, 1409209641, 1409209622, 1409209595, 1409209570, 1409209376, 1409209372, 1409209367, 1409209366, 1409209365, 1409209299, 1409209298, 1409209283, 1409209281, 1409209116, 1409209113, 1409209084, 1409209047, 1409209034, 1409209033, 1409208991, 1409208990, 1409208989, 1409208988, 1409207882, 1409207703, 1409207650, 1409207648, 1409207647, 1409207646, 1409207645, 1409207593, 1409207590, 1409207588, 1409207554, 1409207552, 1409207550] Looping around the photos to save general results len do output : 1 /30474361Didn'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, '4350210') ('4891', '30474361', '1409219238', None, None, None, None, None, '4350210') 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None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207703', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207650', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207648', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207647', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207646', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207645', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207593', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207590', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207588', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207554', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207552', None, None, None, None, None, '4350210') ('4891', None, None, None, None, None, None, None, '4350210') ('4891', '30474361', '1409207550', None, None, None, None, None, '4350210') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.04781293869018555 save_final save missing photos in datou_result : time spend for datou_step_exec : 188.05946230888367 time spend to save output : 0.048632144927978516 total time spend for step 1 : 188.10809445381165 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 2.50user 0.80system 3:11.74elapsed 1%CPU (0avgtext+0avgdata 114272maxresident)k 0inputs+3248outputs (4major+65086minor)pagefaults 0swaps