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 : 3380671 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 : ['3369971'] with mtr_portfolio_ids : ['25001693'] and first list_photo_ids : [] new path : /proc/3380671/ 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 : 0.050092220306396484 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Jul 28 11:50:27 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'}] (('06', 250), ('07', 103)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 353} 12072025 25001693 Nombre de photos uploadées : 353 / 23040 (1%) 12072025 25001693 Nombre de photos taguées (types de déchets): 353 / 353 (100%) 12072025 25001693 Nombre de photos taguées (volume) : 353 / 353 (100%) elapsed_time : load_data_split_time_score 2.384185791015625e-06 elapsed_time : order_list_meta_photo_and_scores 0.00015664100646972656 elapsed_time : fill_and_build_computed_from_old_data 0.01651930809020996 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2126009464263916 Creating list_photo_total elapsed_time : select_descriptors 0.012868881225585938 12072025 25001693 Nombre de photos avec descriptors (type 6092) : 0 / 0 (0%) Missing descriptors for photos 0 and 1372338778 0:00:00|ON:Missing descriptors for photos 1372338778 and 1372338780 Missing descriptors for photos 1372338780 and 1372338782 Missing descriptors for photos 1372338782 and 1372338785 Missing descriptors for photos 1372338785 and 1372338789 Missing descriptors for photos 1372338789 and 1372338793 Missing descriptors for photos 1372338793 and 1372338807 Missing descriptors for photos 1372338807 and 1372338809 Missing descriptors for photos 1372338809 and 1372338813 Missing descriptors for photos 1372338813 and 1372338815 Missing descriptors for photos 1372338815 and 1372338819 Missing descriptors for photos 1372338819 and 1372338823 Missing descriptors for photos 1372338823 and 1372338831 Missing 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Total photos : 353 .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 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 .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 .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 Total photos : 353 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 0.015172243118286133 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 3.5762786865234375e-06 today str has not a value , we define it as the date of the first image todaystr_first : 12072025 attention , prev_timestamp is 0 , we do nothing **********************Count Time bigger than 30s : 22 #Number Photos for regression : {'12072025': {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: 5048.998382091522, 2107751016: 0, 2107751017: 0}}} 12072025|aluminium, 05102018_papier_non_papier_dense:0 12072025|aluminium, 05102018_papier_non_papier_peu_dense:0 12072025|aluminium, 05102018_papier_non_papier_presque_vide:0 12072025|aluminium, 05102018_papier_non_papier_tres_dense:0 12072025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 12072025|ela, 05102018_papier_non_papier_dense:0 12072025|ela, 05102018_papier_non_papier_peu_dense:0 12072025|ela, 05102018_papier_non_papier_presque_vide:0 12072025|ela, 05102018_papier_non_papier_tres_dense:0 12072025|ela, 05102018_papier_non_papier_tres_peu_dense:0 12072025|emr, 05102018_papier_non_papier_dense:0 12072025|emr, 05102018_papier_non_papier_peu_dense:0 12072025|emr, 05102018_papier_non_papier_presque_vide:0 12072025|emr, 05102018_papier_non_papier_tres_dense:0 12072025|emr, 05102018_papier_non_papier_tres_peu_dense:0 12072025|film_pedb, 05102018_papier_non_papier_dense:0 12072025|film_pedb, 05102018_papier_non_papier_peu_dense:0 12072025|film_pedb, 05102018_papier_non_papier_presque_vide:0 12072025|film_pedb, 05102018_papier_non_papier_tres_dense:0 12072025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 12072025|flux_dev, 05102018_papier_non_papier_dense:0 12072025|flux_dev, 05102018_papier_non_papier_peu_dense:0 12072025|flux_dev, 05102018_papier_non_papier_presque_vide:0 12072025|flux_dev, 05102018_papier_non_papier_tres_dense:0 12072025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 12072025|jrm, 05102018_papier_non_papier_dense:0 12072025|jrm, 05102018_papier_non_papier_peu_dense:0 12072025|jrm, 05102018_papier_non_papier_presque_vide:0 12072025|jrm, 05102018_papier_non_papier_tres_dense:0 12072025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 12072025|pcm, 05102018_papier_non_papier_dense:0 12072025|pcm, 05102018_papier_non_papier_peu_dense:0 12072025|pcm, 05102018_papier_non_papier_presque_vide:0 12072025|pcm, 05102018_papier_non_papier_tres_dense:0 12072025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 12072025|pcnc, 05102018_papier_non_papier_dense:0 12072025|pcnc, 05102018_papier_non_papier_peu_dense:0 12072025|pcnc, 05102018_papier_non_papier_presque_vide:0 12072025|pcnc, 05102018_papier_non_papier_tres_dense:0 12072025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 12072025|pehd_pp, 05102018_papier_non_papier_dense:0 12072025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 12072025|pehd_pp, 05102018_papier_non_papier_presque_vide:0 12072025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 12072025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 12072025|pet_clair, 05102018_papier_non_papier_dense:0 12072025|pet_clair, 05102018_papier_non_papier_peu_dense:0 12072025|pet_clair, 05102018_papier_non_papier_presque_vide:0 12072025|pet_clair, 05102018_papier_non_papier_tres_dense:0 12072025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 12072025|refus, 05102018_papier_non_papier_dense:0 12072025|refus, 05102018_papier_non_papier_peu_dense:0 12072025|refus, 05102018_papier_non_papier_presque_vide:0 12072025|refus, 05102018_papier_non_papier_tres_dense:0 12072025|refus, 05102018_papier_non_papier_tres_peu_dense:0 12072025|tapis_vide, 05102018_papier_non_papier_dense:0 12072025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 12072025|tapis_vide, 05102018_papier_non_papier_presque_vide:5048.998382091522 12072025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 12072025|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 ! 12072025_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 352 Created to study and clean : 25400008 with name like 12072025_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 5.027750492095947 # DISPLAY ALL COLLECTED DATA : {'12072025': {'nb_upload': 353, 'nb_taggue_class': 353, 'nb_taggue_densite': 353, '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 [1372340695, 1372340694, 1372340692, 1372340688, 1372340684, 1372340658, 1372340653, 1372340652, 1372340651, 1372340649, 1372340646, 1372340629, 1372340624, 1372340620, 1372340617, 1372340613, 1372340608, 1372340597, 1372340595, 1372340593, 1372340590, 1372340586, 1372340584, 1372340570, 1372340567, 1372340562, 1372340560, 1372340555, 1372340551, 1372340527, 1372340524, 1372340521, 1372340517, 1372340513, 1372340508, 1372340482, 1372340478, 1372340474, 1372340472, 1372340470, 1372340469, 1372340457, 1372340452, 1372340446, 1372340443, 1372340442, 1372340438, 1372340420, 1372340414, 1372340407, 1372340404, 1372340402, 1372340400, 1372340386, 1372340382, 1372340377, 1372340371, 1372340369, 1372340368, 1372340357, 1372340355, 1372340351, 1372340347, 1372340343, 1372340340, 1372340326, 1372340323, 1372340321, 1372340318, 1372340316, 1372340312, 1372340294, 1372340292, 1372340289, 1372340288, 1372340285, 1372340283, 1372340271, 1372340268, 1372340264, 1372340262, 1372340256, 1372340253, 1372340225, 1372340223, 1372340221, 1372340218, 1372340213, 1372340209, 1372340193, 1372340188, 1372340183, 1372340180, 1372340177, 1372340174, 1372340156, 1372340151, 1372340149, 1372340147, 1372340142] Looping around the photos to save general results len do output : 1 /25001693Didn'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, '3369971') ('4891', '25001693', '1372340695', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340694', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340692', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340688', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340684', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340658', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340653', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340652', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340651', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340649', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340646', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340629', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340624', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340620', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340617', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340613', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340608', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340597', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340595', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340593', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340590', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340586', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340584', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340570', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340567', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, 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'1372340149', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340147', None, None, None, None, None, '3369971') ('4891', None, None, None, None, None, None, None, '3369971') ('4891', '25001693', '1372340142', None, None, None, None, None, '3369971') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.0613250732421875 save_final save missing photos in datou_result : time spend for datou_step_exec : 5.75278115272522 time spend to save output : 0.06210827827453613 total time spend for step 1 : 5.814889430999756 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 1.25user 0.57system 0:08.56elapsed 21%CPU (0avgtext+0avgdata 103352maxresident)k 0inputs+128outputs (0major+49280minor)pagefaults 0swaps