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 : 3827933 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 no input labels no input values updating current state to 1 we have a portfolio with more photos than limit : 2887>1000 please execute split_portfolio.py -i 21995993 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2720869'] with mtr_portfolio_ids : ['21995993'] and first list_photo_ids : [] new path : /proc/3827933/ 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 : 0.03076457977294922 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Apr 3 14:02:29 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 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', 285), ('01', 72), ('02', 269), ('03', 286), ('04', 59), ('05', 224), ('06', 288), ('07', 250), ('08', 268), ('09', 126), ('10', 323), ('11', 287), ('12', 61), ('13', 88), ('14', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 2830, 2: 1} 03042025 21995993 Nombre de photos uploadées : 142 / 23040 (0%) 03042025 21995993 Nombre de photos taguées (types de déchets): 2831 / 142 (1993%) 03042025 21995993 Nombre de photos taguées (volume) : 2831 / 142 (1993%) elapsed_time : load_data_split_time_score 3.337860107421875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0011713504791259766 ????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.007226467132568359 elapsed_time : insert_dashboard_record_day_entry 0.03428053855895996 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 elapsed_time : list_photo_by_hashtags 0.008818387985229492 photos_removed : len 0 elapsed_time : load_duplicate_info 0.013081789016723633 ***** BEGIN SPLIT TIME ***** True 1743638400.0 `1743674514.010137 1743674400.0 `1743674524.01014 1743674400.0 `1743674534.010136 1743674400.0 `1743674543.009126 1743674400.0 `1743674553.010136 1743674400.0 `1743674564.010139 1743674400.0 `1743674574.010141 1743674400.0 `1743674584.010142 1743674400.0 `1743674594.010137 1743674400.0 `1743674634.010136 1743674400.0 `1743674644.010163 1743674400.0 `1743674654.01014 1743674400.0 `1743674664.010137 1743674400.0 `1743674674.010143 1743674400.0 `1743674684.010145 1743674400.0 `1743674693.009128 1743674400.0 `1743674704.01015 1743674400.0 `1743674714.010143 1743674400.0 `1743674724.010142 1743674400.0 `1743674734.010137 1743674400.0 `1743674744.010136 1743674400.0 `1743674784.010135 1743674400.0 `1743674794.010146 1743674400.0 `1743674804.010136 1743674400.0 `1743674814.010136 1743674400.0 `1743674824.010164 1743674400.0 `1743674833.009127 1743674400.0 `1743674844.010143 1743674400.0 `1743674854.010136 1743674400.0 `1743674864.01014 1743674400.0 `1743674874.010141 1743674400.0 `1743674884.010166 1743674400.0 `1743674903.009123 1743674400.0 `1743674913.010136 1743674400.0 `1743674924.010135 1743674400.0 `1743674934.010139 1743674400.0 `1743674944.010153 1743674400.0 `1743674954.010137 1743674400.0 `1743674964.010138 1743674400.0 `1743674994.010134 1743674400.0 `1743675004.010158 1743674400.0 `1743675014.010138 1743674400.0 `1743675024.010136 1743674400.0 `1743675034.010136 1743674400.0 `1743675043.009125 1743674400.0 `1743675053.010136 1743674400.0 `1743675064.010152 1743674400.0 `1743675483.010143 1743675300.0 `1743676034.01014 1743675300.0 `1743676584.010139 1743676200.0 `1743677133.009133 1743677100.0 `1743677394.010137 1743677100.0 `1743677683.009133 1743677100.0 `1743678254.010141 1743678000.0 `1743678804.010137 1743678000.0 `1743679354.01014 1743678900.0 `1743679904.009128 1743679800.0 `1743679955.01014 1743679800.0 `1743679965.010138 1743679800.0 `1743680004.010135 1743679800.0 `1743680015.010143 1743679800.0 `1743680025.010139 1743679800.0 `1743680044.009133 1743679800.0 `1743680054.010137 1743679800.0 `1743680064.010137 1743679800.0 `1743680095.010138 1743679800.0 `1743680194.009131 1743679800.0 `1743680204.010143 1743679800.0 `1743680214.010137 1743679800.0 `1743680255.010136 1743679800.0 `1743680274.010143 1743679800.0 `1743680284.010143 1743679800.0 `1743680444.010137 1743679800.0 `1743680455.010134 1743679800.0 `1743680465.010148 1743679800.0 `1743680615.010141 1743679800.0 `1743680624.009126 1743679800.0 `1743680634.010136 1743679800.0 `1743680644.010148 1743679800.0 `1743680654.010142 1743679800.0 `1743680665.010134 1743679800.0 `1743680675.010144 1743679800.0 `1743680685.010135 1743679800.0 `1743680694.009126 1743679800.0 `1743680704.010151 1743680700.0 `1743680714.010136 1743680700.0 `1743680735.010135 1743680700.0 `1743680745.010136 1743680700.0 `1743680755.010138 1743680700.0 `1743680764.009127 1743680700.0 `1743680774.010135 1743680700.0 `1743680784.010136 1743680700.0 `1743680794.010137 1743680700.0 `1743680825.010132 1743680700.0 `1743680835.010134 1743680700.0 `1743680844.009126 1743680700.0 `1743680854.010135 1743680700.0 `1743680864.010135 1743680700.0 `1743680874.010138 1743680700.0 `1743680905.010135 1743680700.0 `1743680924.010138 1743680700.0 `1743680934.010138 1743680700.0 `1743680944.010153 1743680700.0 `1743680955.010135 1743680700.0 `1743680965.010137 1743680700.0 `1743680975.010147 1743680700.0 `1743681014.010139 1743680700.0 `1743681024.010133 1743680700.0 `1743681035.010146 1743680700.0 `1743681045.010137 1743680700.0 `1743681074.010135 1743680700.0 `1743681084.010134 1743680700.0 `1743681094.010134 1743680700.0 `1743681105.010139 1743680700.0 `1743681134.010137 1743680700.0 `1743681144.010138 1743680700.0 `1743681154.010148 1743680700.0 `1743681164.010135 1743680700.0 `1743681185.010143 1743680700.0 `1743681195.010134 1743680700.0 `1743681204.009123 1743680700.0 `1743681214.010134 1743680700.0 `1743681245.010168 1743680700.0 `1743681255.010138 1743680700.0 `1743681265.010134 1743680700.0 `1743681284.010138 1743680700.0 `1743681294.010139 1743680700.0 `1743681304.010164 1743680700.0 `1743681315.010136 1743680700.0 `1743681325.010134 1743680700.0 `1743681335.010136 1743680700.0 `1743681344.009125 1743680700.0 `1743681354.010136 1743680700.0 `1743681364.010143 1743680700.0 `1743681374.010135 1743680700.0 `1743681415.010134 1743680700.0 `1743681424.009123 1743680700.0 `1743681434.010136 1743680700.0 `1743681485.010154 1743680700.0 `1743681494.009124 1743680700.0 `1743681535.010135 1743680700.0 `1743681614.010219 1743681600.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.011448383331298828 ***** END SPLIT TIME ***** NUMBER BATCH : 9 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] ERROR missing amount info result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 1, 1: 43, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 550.0000150203705, 'nb_balles_papier': 0.00046000000000000056, 'begin_time_port': 'image_03042025_12_01_54_010137m0.jpg 9e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00046000000000000056 We reject this portfolio because of the condition_save_data : 2025-04-03 12:01:54.010137 ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 0, 1: 22, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 789.9999978542328, 'nb_balles_papier': 0.00025, 'begin_time_port': 'image_03042025_13_31_44_9128.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00025 ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 4, 1: 47, 2: 2, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 830.9999840259552, 'nb_balles_papier': 0.0005400000000000008, 'begin_time_port': 'image_03042025_13_45_04_010151m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005400000000000008 We have rejected 10 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 2 Still a lot to verify ! We need to add photos : {1349819286} Still a lot to verify ! Qualite : 0.06305549028307833 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 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`=22023977 AND mptpi.`type`=3726 To do Qualite : 0.048354124446543724 Since we have set only the same portfolio in list_same_port_ids, it means the datou_current is finished and we need to re-insert it with the same id to finish the job (if we added new photos to the portfolio) We may have found the correct datou result for the same portfolio, but we will rerun it, since the portfolio may have been updated ! This function is not protected ! # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 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`=22024321 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.3196127414703369 # DISPLAY ALL COLLECTED DATA : {'03042025': {'nb_upload': 142, 'nb_taggue_class': 2831, 'nb_taggue_densite': 2831}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349819286, 1349819251, 1349818855, 1349818817, 1349818781, 1349818490, 1349818487, 1349818458, 1349818451, 1349818444, 1349818412, 1349818406, 1349818402, 1349818397, 1349818390, 1349818386, 1349818352, 1349818347, 1349818343, 1349818339, 1349818335, 1349818301, 1349818297, 1349818293, 1349818289, 1349818237, 1349818230, 1349818229, 1349818225, 1349818158, 1349818156, 1349818154, 1349818150, 1349818109, 1349818107, 1349818105, 1349818102, 1349818061, 1349818058, 1349818055, 1349818053, 1349817981, 1349817977, 1349817957, 1349817859, 1349817857, 1349817844, 1349817838, 1349817833, 1349817830, 1349817708, 1349817695, 1349817679, 1349817674, 1349817582, 1349817579, 1349817576, 1349817573, 1349817571, 1349817540, 1349817534, 1349817529, 1349817523, 1349817518, 1349817513, 1349817480, 1349817479, 1349817475, 1349816767, 1349816662, 1349816647, 1349816392, 1349816002, 1349815997, 1349815897, 1349815894, 1349815891, 1349815779, 1349815776, 1349815770, 1349815767, 1349815732, 1349815727, 1349815723, 1349815695, 1349815691, 1349815246, 1349814029, 1349813222, 1349811240, 1349805627, 1349805095, 1349804775, 1349803603, 1349802920, 1349802098, 1349800847, 1349800772, 1349800750, 1349800728] Looping around the photos to save general results len do output : 1 /21995993Didn'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, '2720869') ('4876', '21995993', '1349819286', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349819251', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818855', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818817', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818781', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818490', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818487', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818458', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818451', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818444', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818412', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818406', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818402', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818397', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818390', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818386', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818352', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818347', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818343', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818339', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818335', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818301', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818297', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818293', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818289', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818237', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818230', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818229', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818225', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818158', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818156', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818154', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818150', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818109', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818107', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818105', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818102', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818061', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818058', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818055', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349818053', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817981', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817977', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817957', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817859', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817857', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817844', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817838', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817833', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817830', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817708', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817695', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817679', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817674', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817582', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817579', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817576', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817573', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817571', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817540', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817534', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817529', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817523', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817518', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817513', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817480', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817479', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349817475', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349816767', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349816662', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349816647', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349816392', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349816002', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815997', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815897', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815894', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815891', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815779', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815776', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815770', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815767', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815732', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815727', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815723', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815695', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815691', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349815246', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349814029', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349813222', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349811240', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349805627', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349805095', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349804775', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349803603', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349802920', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349802098', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349800847', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349800772', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349800750', None, None, None, None, None, '2720869') ('4876', None, None, None, None, None, None, None, '2720869') ('4876', '21995993', '1349800728', None, None, None, None, None, '2720869') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.029857158660888672 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.7145771980285645 time spend to save output : 0.030633211135864258 total time spend for step 1 : 0.7452104091644287 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 1.34user 0.63system 0:04.18elapsed 47%CPU (0avgtext+0avgdata 103280maxresident)k 0inputs+72outputs (0major+49417minor)pagefaults 0swaps