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 : 1202638 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 : ['3684434'] with mtr_portfolio_ids : ['26665673'] and first list_photo_ids : [] new path : /proc/1202638/ 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 : 0.027811527252197266 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Sep 9 14:00:27 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': 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', 344), ('01', 347), ('02', 273)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 964} 09092025 26665673 Nombre de photos uploadées : 964 / 23040 (4%) 09092025 26665673 Nombre de photos taguées (types de déchets): 964 / 964 (100%) 09092025 26665673 Nombre de photos taguées (volume) : 964 / 964 (100%) elapsed_time : load_data_split_time_score 3.5762786865234375e-06 elapsed_time : order_list_meta_photo_and_scores 0.000362396240234375 elapsed_time : fill_and_build_computed_from_old_data 0.06652593612670898 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.20012903213500977 Creating list_photo_total elapsed_time : select_descriptors 0.022126197814941406 09092025 26665673 Nombre de photos avec descriptors (type 6092) : 0 / 0 (0%) Missing descriptors for photos 0 and 1382694256 0:00:00|ON:Missing descriptors for photos 1382694256 and 1382694324 Missing descriptors for photos 1382694324 and 1382694382 Missing descriptors for photos 1382694382 and 1382694439 Missing descriptors for photos 1382694439 and 1382694500 Missing descriptors for photos 1382694500 and 1382695771 Missing descriptors for photos 1382695771 and 1382695843 Missing descriptors for photos 1382695843 and 1382695944 Missing descriptors for photos 1382695944 and 1382696028 Missing descriptors for photos 1382696028 and 1382696093 Missing descriptors for photos 1382696093 and 1382696151 Missing descriptors for photos 1382696151 and 1382696288 Missing descriptors for photos 1382696288 and 1382696321 Missing 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Missing descriptors for photos 1382714520 and 1382714545 Missing descriptors for photos 1382714545 and 1382714548 Missing descriptors for photos 1382714548 and 1382714551 Missing descriptors for photos 1382714551 and 1382714552 Missing descriptors for photos 1382714552 and 1382714554 Missing descriptors for photos 1382714554 and 1382714556 Missing descriptors for photos 1382714556 and 1382714567 Missing descriptors for photos 1382714567 and 1382714571 Missing descriptors for photos 1382714571 and 1382714576 Missing descriptors for photos 1382714576 and 1382714584 Missing descriptors for photos 1382714584 and 1382714607 Missing descriptors for photos 1382714607 and 1382714610 Missing descriptors for photos 1382714610 and 1382714613 Missing descriptors for photos 1382714613 and 1382714617 Missing descriptors for photos 1382714617 and 1382714650 Missing descriptors for photos 1382714650 and 1382714655 Missing descriptors for photos 1382714655 and 1382714659 Missing descriptors for photos 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Missing descriptors for photos 1382715021 and 1382715024 Missing descriptors for photos 1382715024 and 1382715025 Missing descriptors for photos 1382715025 and 1382715044 Missing descriptors for photos 1382715044 and 1382715057 Missing descriptors for photos 1382715057 and 1382715070 Missing descriptors for photos 1382715070 and 1382715077 Missing descriptors for photos 1382715077 and 1382715098 Missing descriptors for photos 1382715098 and 1382715101 Missing descriptors for photos 1382715101 and 1382715119 Missing descriptors for photos 1382715119 and 1382715123 Missing descriptors for photos 1382715123 and 1382715128 Missing descriptors for photos 1382715128 and 1382715132 Missing descriptors for photos 1382715132 and 1382715135 Missing descriptors for photos 1382715135 and 1382715136 Missing descriptors for photos 1382715136 and 1382715151 Missing descriptors for photos 1382715151 and 1382715140 Missing descriptors for photos 1382715140 and 1382715154 Missing descriptors for photos 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1382715377 and 1382715382 Missing descriptors for photos 1382715382 and 1382715386 Missing descriptors for photos 1382715386 and 1382715400 Missing descriptors for photos 1382715400 and 1382715403 Missing descriptors for photos 1382715403 and 1382715406 Missing descriptors for photos 1382715406 and 1382715409 Missing descriptors for photos 1382715409 and 1382715413 Missing descriptors for photos 1382715413 and 1382715473 Missing descriptors for photos 1382715473 and 1382715476 Missing descriptors for photos 1382715476 and 1382715478 Missing descriptors for photos 1382715478 and 1382715480 Missing descriptors for photos 1382715480 and 1382715482 Missing descriptors for photos 1382715482 and 1382715484 Missing descriptors for photos 1382715484 and 1382715501 Missing descriptors for photos 1382715501 and 1382715512 Missing descriptors for photos 1382715512 and 1382715516 Missing descriptors for photos 1382715516 and 1382715519 Missing descriptors for photos 1382715519 and 1382715521 Missing descriptors for photos 1382715521 and 1382715537 Missing descriptors for photos 1382715537 and 1382715539 Missing descriptors for photos 1382715539 and 1382715541 Missing descriptors for photos 1382715541 and 1382715543 Missing descriptors for photos 1382715543 and 1382715553 Missing descriptors for photos 1382715553 and 1382715559 09092025 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc Warning in study_and_display_distrib_list : min=max : -1 -1 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 964 time used for this insertion : 0.1521739959716797 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.20117449760437012 Creating list_photo_total elapsed_time : count_sum_diff_and_build_graph 0.008326292037963867 Total photos : 964 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't 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find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info Total photos : 964 Number of lists : 0 counter photos in port : 0 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 0 photos in 0 portfolios ! hashtag : film_pedb(2107760237) : 0 photos in 0 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 0 photos in 0 portfolios ! hashtag : pet_clair(2107755846) : 0 photos in 0 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.037778377532958984 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 4.0531158447265625e-06 today str has not a value , we define it as the date of the first image todaystr_first : 09092025 attention , prev_timestamp is 0 , we do nothing ***Count Time bigger than 30s : 3 #Number Photos for regression : {'09092025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 10119.99947977066, 2107751016: 0, 2107751017: 0}}} 09092025|aluminium, 05102018_papier_non_papier_dense:0 09092025|aluminium, 05102018_papier_non_papier_peu_dense:0 09092025|aluminium, 05102018_papier_non_papier_presque_vide:0 09092025|aluminium, 05102018_papier_non_papier_tres_dense:0 09092025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 09092025|ela, 05102018_papier_non_papier_dense:0 09092025|ela, 05102018_papier_non_papier_peu_dense:0 09092025|ela, 05102018_papier_non_papier_presque_vide:0 09092025|ela, 05102018_papier_non_papier_tres_dense:0 09092025|ela, 05102018_papier_non_papier_tres_peu_dense:0 09092025|emr, 05102018_papier_non_papier_dense:0 09092025|emr, 05102018_papier_non_papier_peu_dense:0 09092025|emr, 05102018_papier_non_papier_presque_vide:0 09092025|emr, 05102018_papier_non_papier_tres_dense:0 09092025|emr, 05102018_papier_non_papier_tres_peu_dense:0 09092025|film_pedb, 05102018_papier_non_papier_dense:0 09092025|film_pedb, 05102018_papier_non_papier_peu_dense:0 09092025|film_pedb, 05102018_papier_non_papier_presque_vide:0 09092025|film_pedb, 05102018_papier_non_papier_tres_dense:0 09092025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 09092025|flux_dev, 05102018_papier_non_papier_dense:0 09092025|flux_dev, 05102018_papier_non_papier_peu_dense:0 09092025|flux_dev, 05102018_papier_non_papier_presque_vide:0 09092025|flux_dev, 05102018_papier_non_papier_tres_dense:0 09092025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 09092025|jrm, 05102018_papier_non_papier_dense:0 09092025|jrm, 05102018_papier_non_papier_peu_dense:0 09092025|jrm, 05102018_papier_non_papier_presque_vide:0 09092025|jrm, 05102018_papier_non_papier_tres_dense:0 09092025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 09092025|pcm, 05102018_papier_non_papier_dense:0 09092025|pcm, 05102018_papier_non_papier_peu_dense:0 09092025|pcm, 05102018_papier_non_papier_presque_vide:0 09092025|pcm, 05102018_papier_non_papier_tres_dense:0 09092025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 09092025|pcnc, 05102018_papier_non_papier_dense:0 09092025|pcnc, 05102018_papier_non_papier_peu_dense:0 09092025|pcnc, 05102018_papier_non_papier_presque_vide:0 09092025|pcnc, 05102018_papier_non_papier_tres_dense:0 09092025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 09092025|pehd_pp, 05102018_papier_non_papier_dense:0 09092025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 09092025|pehd_pp, 05102018_papier_non_papier_presque_vide:0 09092025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 09092025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 09092025|pet_clair, 05102018_papier_non_papier_dense:0 09092025|pet_clair, 05102018_papier_non_papier_peu_dense:0 09092025|pet_clair, 05102018_papier_non_papier_presque_vide:0 09092025|pet_clair, 05102018_papier_non_papier_tres_dense:0 09092025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 09092025|refus, 05102018_papier_non_papier_dense:0 09092025|refus, 05102018_papier_non_papier_peu_dense:0 09092025|refus, 05102018_papier_non_papier_presque_vide:0 09092025|refus, 05102018_papier_non_papier_tres_dense:0 09092025|refus, 05102018_papier_non_papier_tres_peu_dense:0 09092025|tapis_vide, 05102018_papier_non_papier_dense:0 09092025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 09092025|tapis_vide, 05102018_papier_non_papier_presque_vide:10119.99947977066 09092025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 09092025|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 ! 09092025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 0 Number amount portfolio for this type of dechet : film_pedb 0 Number amount portfolio for this type of dechet : flux_dev 0 Number amount portfolio for this type of dechet : jrm 0 Number amount portfolio for this type of dechet : pcm 0 Number amount portfolio for this type of dechet : pcnc 0 Number amount portfolio for this type of dechet : pehd_pp 0 Number amount portfolio for this type of dechet : pet_clair 0 Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 963 Created to study and clean : 26685459 with name like 09092025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 0 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 have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 4.648317098617554 # DISPLAY ALL COLLECTED DATA : {'09092025': {'nb_upload': 964, 'nb_taggue_class': 964, 'nb_taggue_densite': 964, 'nb_descriptors': 0, 'number_port': 0, 'count_photo_in_port': 0, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 0, 'nb_portfolios': 0}, 'film_pedb': {'nb_photos': 0, 'nb_portfolios': 0}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 0, 'nb_portfolios': 0}, 'pet_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1382715559, 1382715553, 1382715543, 1382715541, 1382715539, 1382715537, 1382715521, 1382715519, 1382715516, 1382715512, 1382715501, 1382715484, 1382715482, 1382715480, 1382715478, 1382715476, 1382715473, 1382715413, 1382715409, 1382715406, 1382715403, 1382715400, 1382715386, 1382715382, 1382715377, 1382715371, 1382715367, 1382715357, 1382715354, 1382715351, 1382715345, 1382715342, 1382715325, 1382715323, 1382715320, 1382715314, 1382715309, 1382715304, 1382715298, 1382715297, 1382715296, 1382715294, 1382715292, 1382715289, 1382715249, 1382715246, 1382715241, 1382715232, 1382715229, 1382715224, 1382715209, 1382715206, 1382715203, 1382715201, 1382715198, 1382715195, 1382715169, 1382715166, 1382715158, 1382715154, 1382715151, 1382715140, 1382715136, 1382715135, 1382715132, 1382715128, 1382715123, 1382715119, 1382715101, 1382715098, 1382715077, 1382715070, 1382715057, 1382715044, 1382715025, 1382715024, 1382715021, 1382715018, 1382715014, 1382715010, 1382715004, 1382715001, 1382714994, 1382714992, 1382714990, 1382714987, 1382714948, 1382714944, 1382714942, 1382714938, 1382714932, 1382714929, 1382714903, 1382714900, 1382714898, 1382714894, 1382714891, 1382714885, 1382714883, 1382714881] Looping around the photos to save general results len do output : 1 /26665673Didn'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, '3684434') ('4891', '26665673', '1382715559', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715553', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715543', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715541', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715539', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715537', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715521', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715519', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715516', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715512', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715501', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715484', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715482', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715480', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715478', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715476', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715473', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715413', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715409', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715406', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715403', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715400', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715386', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715382', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715377', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715371', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715367', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715357', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715354', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715351', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715345', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715342', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715325', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715323', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715320', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715314', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715309', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715304', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715298', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715297', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715296', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715294', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715292', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715289', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715249', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715246', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715241', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715232', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715229', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715224', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715209', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715206', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715203', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382715201', None, None, None, None, None, '3684434') ('4891', None, None, None, None, 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None, None, None, None, None, '3684434') ('4891', '26665673', '1382714992', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714990', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714987', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714948', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714944', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714942', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714938', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714932', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714929', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714903', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714900', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714898', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714894', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714891', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714885', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714883', None, None, None, None, None, '3684434') ('4891', None, None, None, None, None, None, None, '3684434') ('4891', '26665673', '1382714881', None, None, None, None, None, '3684434') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.03211331367492676 save_final save missing photos in datou_result : time spend for datou_step_exec : 6.2492454051971436 time spend to save output : 0.03336930274963379 total time spend for step 1 : 6.282614707946777 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 1.70user 0.54system 0:09.33elapsed 24%CPU (0avgtext+0avgdata 107628maxresident)k 16inputs+232outputs (1major+50472minor)pagefaults 0swaps