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 : 1251262 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: {} Date 2026-03-14 14:30:29.702010 Current got : datou_id : 4891, datou_cur_ids : ['4361931'] with mtr_portfolio_ids : ['30746016'] and first list_photo_ids : [] new path : /proc/1251262/ 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 , we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.017496585845947266 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Sat Mar 14 14:30:29 2026 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 2), ('01', 4), ('02', 2), ('03', 3), ('04', 2), ('05', 2), ('06', 3), ('07', 2), ('08', 3), ('09', 2), ('10', 3), ('11', 3), ('12', 2), ('13', 3), ('14', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 37} 14032026 30746016 Nombre de photos uploadées : 37 / 23040 (0%) 14032026 30746016 Nombre de photos taguées (types de déchets): 37 / 37 (100%) 14032026 30746016 Nombre de photos taguées (volume) : 37 / 37 (100%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 2.2172927856445312e-05 elapsed_time : fill_and_build_computed_from_old_data 0.003209352493286133 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.22835206985473633 Creating list_photo_total elapsed_time : select_descriptors 0.005496025085449219 14032026 30746016 Nombre de photos avec descriptors (type 6092) : 0 / 0 (0%) Missing descriptors for photos 0 and 1412179453 0:00:00|ON:Missing descriptors for photos 1412179453 and 1412179904 Missing descriptors for photos 1412179904 and 1412181713 Missing descriptors for photos 1412181713 and 1412185173 Missing descriptors for photos 1412185173 and 1412185186 Missing descriptors for photos 1412185186 and 1412185226 Missing descriptors for photos 1412185226 and 1412191728 Missing descriptors for photos 1412191728 and 1412191815 Missing descriptors for photos 1412191815 and 1412195688 Missing descriptors for photos 1412195688 and 1412195786 Missing descriptors for photos 1412195786 and 1412195811 Missing descriptors for photos 1412195811 and 1412199645 Missing descriptors for photos 1412199645 and 1412199915 Missing descriptors for photos 1412199915 and 1412203113 Missing descriptors for photos 1412203113 and 1412203350 Missing descriptors for photos 1412203350 and 1412205855 Missing descriptors for photos 1412205855 and 1412206393 Missing descriptors for photos 1412206393 and 1412206437 Missing descriptors for photos 1412206437 and 1412206575 Missing descriptors for photos 1412206575 and 1412207242 Missing descriptors for photos 1412207242 and 1412210484 Missing descriptors for photos 1412210484 and 1412215012 Missing descriptors for photos 1412215012 and 1412218613 Missing descriptors for photos 1412218613 and 1412225049 Missing descriptors for photos 1412225049 and 1412225960 Missing descriptors for photos 1412225960 and 1412229712 Missing descriptors for photos 1412229712 and 1412229769 Missing descriptors for photos 1412229769 and 1412229786 Missing descriptors for photos 1412229786 and 1412232029 Missing descriptors for photos 1412232029 and 1412232927 Missing descriptors for photos 1412232927 and 1412233004 Missing descriptors for photos 1412233004 and 1412237347 Missing descriptors for photos 1412237347 and 1412237411 Missing descriptors for photos 1412237411 and 1412240313 Missing descriptors for photos 1412240313 and 1412240987 Missing descriptors for photos 1412240987 and 1412241039 Missing descriptors for photos 1412241039 and 1412244827 14032026 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 : 37 time used for this insertion : 0.015056610107421875 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.03847217559814453 Creating list_photo_total elapsed_time : count_sum_diff_and_build_graph 0.0002982616424560547 Total photos : 37 .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 Total photos : 37 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 0.0019326210021972656 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.86102294921875e-06 today str has not a value , we define it as the date of the first image todaystr_first : 14032026 attention , prev_timestamp is 0 , we do nothing ************************************Count Time bigger than 30s : 36 #Number Photos for regression : {'14032026': {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: 98.9999852180481, 2107751016: 0, 2107751017: 0}}} 14032026|aluminium, 05102018_papier_non_papier_dense:0 14032026|aluminium, 05102018_papier_non_papier_peu_dense:0 14032026|aluminium, 05102018_papier_non_papier_presque_vide:0 14032026|aluminium, 05102018_papier_non_papier_tres_dense:0 14032026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 14032026|ela, 05102018_papier_non_papier_dense:0 14032026|ela, 05102018_papier_non_papier_peu_dense:0 14032026|ela, 05102018_papier_non_papier_presque_vide:0 14032026|ela, 05102018_papier_non_papier_tres_dense:0 14032026|ela, 05102018_papier_non_papier_tres_peu_dense:0 14032026|emr, 05102018_papier_non_papier_dense:0 14032026|emr, 05102018_papier_non_papier_peu_dense:0 14032026|emr, 05102018_papier_non_papier_presque_vide:0 14032026|emr, 05102018_papier_non_papier_tres_dense:0 14032026|emr, 05102018_papier_non_papier_tres_peu_dense:0 14032026|film_pedb, 05102018_papier_non_papier_dense:0 14032026|film_pedb, 05102018_papier_non_papier_peu_dense:0 14032026|film_pedb, 05102018_papier_non_papier_presque_vide:0 14032026|film_pedb, 05102018_papier_non_papier_tres_dense:0 14032026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 14032026|flux_dev, 05102018_papier_non_papier_dense:0 14032026|flux_dev, 05102018_papier_non_papier_peu_dense:0 14032026|flux_dev, 05102018_papier_non_papier_presque_vide:0 14032026|flux_dev, 05102018_papier_non_papier_tres_dense:0 14032026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 14032026|jrm, 05102018_papier_non_papier_dense:0 14032026|jrm, 05102018_papier_non_papier_peu_dense:0 14032026|jrm, 05102018_papier_non_papier_presque_vide:0 14032026|jrm, 05102018_papier_non_papier_tres_dense:0 14032026|jrm, 05102018_papier_non_papier_tres_peu_dense:0 14032026|pcm, 05102018_papier_non_papier_dense:0 14032026|pcm, 05102018_papier_non_papier_peu_dense:0 14032026|pcm, 05102018_papier_non_papier_presque_vide:0 14032026|pcm, 05102018_papier_non_papier_tres_dense:0 14032026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 14032026|pcnc, 05102018_papier_non_papier_dense:0 14032026|pcnc, 05102018_papier_non_papier_peu_dense:0 14032026|pcnc, 05102018_papier_non_papier_presque_vide:0 14032026|pcnc, 05102018_papier_non_papier_tres_dense:0 14032026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 14032026|pehd_pp, 05102018_papier_non_papier_dense:0 14032026|pehd_pp, 05102018_papier_non_papier_peu_dense:0 14032026|pehd_pp, 05102018_papier_non_papier_presque_vide:0 14032026|pehd_pp, 05102018_papier_non_papier_tres_dense:0 14032026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 14032026|pet_clair, 05102018_papier_non_papier_dense:0 14032026|pet_clair, 05102018_papier_non_papier_peu_dense:0 14032026|pet_clair, 05102018_papier_non_papier_presque_vide:0 14032026|pet_clair, 05102018_papier_non_papier_tres_dense:0 14032026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 14032026|refus, 05102018_papier_non_papier_dense:0 14032026|refus, 05102018_papier_non_papier_peu_dense:0 14032026|refus, 05102018_papier_non_papier_presque_vide:0 14032026|refus, 05102018_papier_non_papier_tres_dense:0 14032026|refus, 05102018_papier_non_papier_tres_peu_dense:0 14032026|tapis_vide, 05102018_papier_non_papier_dense:0 14032026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 14032026|tapis_vide, 05102018_papier_non_papier_presque_vide:98.9999852180481 14032026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 14032026|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 ! 14032026_time_diff_distrib Warning in study_and_display_distrib_list : min=max : 98.9999852180481 98.9999852180481 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 1 Created to study and clean : 30751123 with name like 14032026_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 5.859598159790039 # DISPLAY ALL COLLECTED DATA : {'14032026': {'nb_upload': 37, 'nb_taggue_class': 37, 'nb_taggue_densite': 37, '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 [1412244827, 1412241039, 1412240987, 1412240313, 1412237411, 1412237347, 1412233004, 1412232927, 1412232029, 1412229786, 1412229769, 1412229712, 1412225960, 1412225049, 1412218613, 1412215012, 1412210484, 1412207242, 1412206575, 1412206437, 1412206393, 1412205855, 1412203350, 1412203113, 1412199915, 1412199645, 1412195811, 1412195786, 1412195688, 1412191815, 1412191728, 1412185226, 1412185186, 1412185173, 1412181713, 1412179904, 1412179453] Looping around the photos to save general results len do output : 1 /30746016Didn'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, '4361931') ('4891', '30746016', '1412244827', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412241039', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412240987', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412240313', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412237411', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412237347', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412233004', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412232927', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412232029', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412229786', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412229769', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412229712', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412225960', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412225049', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412218613', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412215012', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412210484', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412207242', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412206575', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412206437', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412206393', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412205855', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412203350', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412203113', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412199915', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412199645', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412195811', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412195786', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412195688', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412191815', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412191728', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412185226', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412185186', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412185173', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412181713', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412179904', None, None, None, None, None, '4361931') ('4891', None, None, None, None, None, None, None, '4361931') ('4891', '30746016', '1412179453', None, None, None, None, None, '4361931') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 38 time used for this insertion : 0.018430471420288086 save_final save missing photos in datou_result : time spend for datou_step_exec : 6.217006683349609 time spend to save output : 0.01892232894897461 total time spend for step 1 : 6.235929012298584 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 1.27user 0.50system 0:10.74elapsed 16%CPU (0avgtext+0avgdata 109880maxresident)k 0inputs+64outputs (9major+52279minor)pagefaults 0swaps