python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4876' -s datou_current_4876 -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 : 102773 load datou : 4876 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better 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 updating current state to 1 we have a portfolio with more photos than limit : 2373>1000 please execute split_portfolio.py -i 26552212 -l 1000 size over we load limit photo not treated list_input_json: [] Current got : datou_id : 4876, datou_cur_ids : ['3669939'] with mtr_portfolio_ids : ['26552212'] and first list_photo_ids : [] new path : /proc/102773/ 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 : 0.030979633331298828 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Sep 5 12:48:27 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec 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': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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', 268), ('01', 132), ('02', 189), ('03', 252), ('04', 39), ('05', 221), ('06', 280), ('07', 233), ('08', 216), ('09', 76), ('10', 238), ('11', 227), ('12', 2)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 2038} 05092025 26552212 Nombre de photos uploadées : 262 / 23040 (1%) 05092025 26552212 Nombre de photos taguées (types de déchets): 2038 / 262 (777%) 05092025 26552212 Nombre de photos taguées (volume) : 2038 / 262 (777%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0007696151733398438 ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.05133819580078125 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2226550579071045 Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.01490163803100586 photos_removed : len 0 elapsed_time : load_duplicate_info 0.012746572494506836 ***** BEGIN SPLIT TIME ***** ``````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````````list printed: [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32], [33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89], [90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119], [120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192], [193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259], [260], [261]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.012623071670532227 ***** END SPLIT TIME ***** NUMBER BATCH : 7 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05092025', 'map_nb_amount': {0: 0, 1: 8, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 718.9999940395355, 'nb_balles_papier': 0.00014000000000000001, 'begin_time_port': 'image_05092025_10_47_45_010140m0.jpg 0.00011 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00014000000000000001 We reject this portfolio because of the condition_save_data : 2025-09-05 10:47:45.010140 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05092025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 861.0010089874268, 'nb_balles_papier': 0, 'begin_time_port': 'image_05092025_11_00_33_9136.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We reject this portfolio because of the condition_save_data : 2025-09-05 11:00:33.009136 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05092025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999759197235, 'nb_balles_papier': 0, 'begin_time_port': 'image_05092025_11_15_04_10164.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We reject this portfolio because of the condition_save_data : 2025-09-05 11:15:04.010164 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05092025', 'map_nb_amount': {0: 4, 1: 39, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999878406525, 'nb_balles_papier': 0.0005600000000000008, 'begin_time_port': 'image_05092025_11_30_04_10148.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005600000000000008 We reject this portfolio because of the condition_save_data : 2025-09-05 11:30:04.010148 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05092025', 'map_nb_amount': {0: 3, 1: 43, 2: 13, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999799728394, 'nb_balles_papier': 0.000630000000000001, 'begin_time_port': 'image_05092025_11_45_04_010154m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000630000000000001 We reject this portfolio because of the condition_save_data : 2025-09-05 11:45:04.010154 We have rejected 2 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 1.0918786525726318 # DISPLAY ALL COLLECTED DATA : {'05092025': {'nb_upload': 262, 'nb_taggue_class': 2038, 'nb_taggue_densite': 2038}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1381726388, 1381710871, 1381710866, 1381709887, 1381709883, 1381709879, 1381709875, 1381709763, 1381709759, 1381709756, 1381709753, 1381709750, 1381708510, 1381708509, 1381708508, 1381708506, 1381708505, 1381708504, 1381708353, 1381708351, 1381708349, 1381708347, 1381708345, 1381708078, 1381708077, 1381708076, 1381708022, 1381708021, 1381708020, 1381708019, 1381708018, 1381707963, 1381707962, 1381707961, 1381707960, 1381707794, 1381707792, 1381707789, 1381707787, 1381707441, 1381707440, 1381707439, 1381707438, 1381707437, 1381707436, 1381707366, 1381707365, 1381707364, 1381707363, 1381707187, 1381707185, 1381707183, 1381707111, 1381706834, 1381706833, 1381706832, 1381706830, 1381706499, 1381706497, 1381706495, 1381706493, 1381706491, 1381706304, 1381706302, 1381706300, 1381706135, 1381706134, 1381706133, 1381706132, 1381706131, 1381705869, 1381705868, 1381705866, 1381705864, 1381705616, 1381705614, 1381705612, 1381705610, 1381705609, 1381705540, 1381705539, 1381705538, 1381705537, 1381705470, 1381705469, 1381705468, 1381705467, 1381705466, 1381705465, 1381705223, 1381705220, 1381705217, 1381705214, 1381705211, 1381705208, 1381705076, 1381705075, 1381705074, 1381705038, 1381705037] Looping around the photos to save general results len do output : 1 /26552212Didn'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 ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381726388', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381710871', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381710866', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709887', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709883', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709879', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709875', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709763', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709759', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709756', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709753', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381709750', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708510', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708509', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708508', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708506', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708505', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708504', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708353', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708351', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708349', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708347', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708345', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708078', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708077', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708076', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708022', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708021', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708020', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708019', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381708018', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707963', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707962', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707961', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707960', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707794', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707792', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707789', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707787', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707441', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707440', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707439', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707438', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707437', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707436', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707366', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707365', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707364', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707363', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707187', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707185', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707183', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381707111', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706834', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706833', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706832', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706830', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706499', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706497', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706495', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706493', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706491', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706304', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706302', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706300', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706135', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706134', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706133', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706132', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381706131', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705869', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705868', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705866', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705864', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705616', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705614', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705612', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705610', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705609', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705540', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705539', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705538', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705537', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705470', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705469', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705468', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705467', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705466', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705465', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705223', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705220', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705217', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705214', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705211', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705208', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705076', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705075', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705074', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705038', None, None, None, None, None, '3669939') ('4876', None, None, None, None, None, None, None, '3669939') ('4876', '26552212', '1381705037', None, None, None, None, None, '3669939') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.025864362716674805 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.8136093616485596 time spend to save output : 0.02671670913696289 total time spend for step 1 : 1.8403260707855225 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 1.24user 0.52system 0:04.42elapsed 39%CPU (0avgtext+0avgdata 104024maxresident)k 224inputs+64outputs (13major+49758minor)pagefaults 0swaps