python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4323' -s datou_current_4323 -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 : 3335632 load datou : 4323 # 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 : 4323, datou_cur_ids : ['3243575'] with mtr_portfolio_ids : ['24653089'] and first list_photo_ids : [] new path : /proc/3335632/ 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 : 0.015266656875610352 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Jul 7 07:00:30 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': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', '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': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, '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', 12), ('01', 6), ('02', 12), ('03', 6), ('04', 17), ('05', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 54} 06072025 24653089 Nombre de photos uploadées : 54 / 23040 (0%) 06072025 24653089 Nombre de photos taguées (types de déchets): 54 / 54 (100%) 06072025 24653089 Nombre de photos taguées (volume) : 54 / 54 (100%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 3.695487976074219e-05 elapsed_time : fill_and_build_computed_from_old_data 0.002442598342895508 elapsed_time : insert_dashboard_record_day_entry 0.03035759925842285 Creating list_photo_total elapsed_time : select_descriptors 0.005463600158691406 06072025 24653089 Nombre de photos avec descriptors (type 6032) : 0 / 0 (0%) Missing descriptors for photos 0 and 1370863369 0:00:00|ON:Missing descriptors for photos 1370863369 and 1370863370 Missing descriptors for photos 1370863370 and 1370863386 Missing descriptors for photos 1370863386 and 1370863395 Missing descriptors for photos 1370863395 and 1370863419 Missing descriptors for photos 1370863419 and 1370873952 Missing descriptors for photos 1370873952 and 1370863546 Missing descriptors for photos 1370863546 and 1370873953 Missing descriptors for photos 1370873953 and 1370873954 Missing descriptors for photos 1370873954 and 1370873955 Missing descriptors for photos 1370873955 and 1370873956 Missing descriptors for photos 1370873956 and 1370873957 Missing descriptors for photos 1370873957 and 1370866983 Missing descriptors for photos 1370866983 and 1370866982 Missing descriptors for photos 1370866982 and 1370866981 Missing descriptors for photos 1370866981 and 1370866980 Missing descriptors for photos 1370866980 and 1370866979 Missing descriptors for photos 1370866979 and 1370866978 Missing descriptors for photos 1370866978 and 1370870371 Missing descriptors for photos 1370870371 and 1370870370 Missing descriptors for photos 1370870370 and 1370870369 Missing descriptors for photos 1370870369 and 1370870368 Missing descriptors for photos 1370870368 and 1370870367 Missing descriptors for photos 1370870367 and 1370870366 Missing descriptors for photos 1370870366 and 1370870702 Missing descriptors for photos 1370870702 and 1370870701 Missing descriptors for photos 1370870701 and 1370870700 Missing descriptors for photos 1370870700 and 1370870699 Missing descriptors for photos 1370870699 and 1370870698 Missing descriptors for photos 1370870698 and 1370870696 Missing descriptors for photos 1370870696 and 1370873673 Missing descriptors for photos 1370873673 and 1370873672 Missing descriptors for photos 1370873672 and 1370873671 Missing descriptors for photos 1370873671 and 1370873670 Missing descriptors for photos 1370873670 and 1370873669 Missing descriptors for photos 1370873669 and 1370873668 Missing descriptors for photos 1370873668 and 1370877543 Missing descriptors for photos 1370877543 and 1370877542 Missing descriptors for photos 1370877542 and 1370877541 Missing descriptors for photos 1370877541 and 1370877540 Missing descriptors for photos 1370877540 and 1370877539 Missing descriptors for photos 1370877539 and 1370877538 Missing descriptors for photos 1370877538 and 1370881295 Missing descriptors for photos 1370881295 and 1370881294 Missing descriptors for photos 1370881294 and 1370881293 Missing descriptors for photos 1370881293 and 1370877733 Missing descriptors for photos 1370877733 and 1370877732 Missing descriptors for photos 1370877732 and 1370877731 Missing descriptors for photos 1370877731 and 1370877730 Missing descriptors for photos 1370877730 and 1370877728 Missing descriptors for photos 1370877728 and 1370877727 Missing descriptors for photos 1370877727 and 1370881292 Missing descriptors for photos 1370881292 and 1370881291 Missing descriptors for photos 1370881291 and 1370881290 06072025 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 : 54 time used for this insertion : 0.012424707412719727 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.03579568862915039 Creating list_photo_total elapsed_time : count_sum_diff_and_build_graph 0.00030350685119628906 Total photos : 54 .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 Total photos : 54 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 0.002713918685913086 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 : 06072025 attention , prev_timestamp is 0 , we do nothing ******************************Count Time bigger than 30s : 30 #Number Photos for regression : {'06072025': {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: 1370.0012338161469, 2107751016: 0, 2107751017: 0}}} 06072025|aluminium, 05102018_papier_non_papier_dense:0 06072025|aluminium, 05102018_papier_non_papier_peu_dense:0 06072025|aluminium, 05102018_papier_non_papier_presque_vide:0 06072025|aluminium, 05102018_papier_non_papier_tres_dense:0 06072025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 06072025|ela, 05102018_papier_non_papier_dense:0 06072025|ela, 05102018_papier_non_papier_peu_dense:0 06072025|ela, 05102018_papier_non_papier_presque_vide:0 06072025|ela, 05102018_papier_non_papier_tres_dense:0 06072025|ela, 05102018_papier_non_papier_tres_peu_dense:0 06072025|emr, 05102018_papier_non_papier_dense:0 06072025|emr, 05102018_papier_non_papier_peu_dense:0 06072025|emr, 05102018_papier_non_papier_presque_vide:0 06072025|emr, 05102018_papier_non_papier_tres_dense:0 06072025|emr, 05102018_papier_non_papier_tres_peu_dense:0 06072025|film_pedb, 05102018_papier_non_papier_dense:0 06072025|film_pedb, 05102018_papier_non_papier_peu_dense:0 06072025|film_pedb, 05102018_papier_non_papier_presque_vide:0 06072025|film_pedb, 05102018_papier_non_papier_tres_dense:0 06072025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 06072025|flux_dev, 05102018_papier_non_papier_dense:0 06072025|flux_dev, 05102018_papier_non_papier_peu_dense:0 06072025|flux_dev, 05102018_papier_non_papier_presque_vide:0 06072025|flux_dev, 05102018_papier_non_papier_tres_dense:0 06072025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 06072025|jrm, 05102018_papier_non_papier_dense:0 06072025|jrm, 05102018_papier_non_papier_peu_dense:0 06072025|jrm, 05102018_papier_non_papier_presque_vide:0 06072025|jrm, 05102018_papier_non_papier_tres_dense:0 06072025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 06072025|pcm, 05102018_papier_non_papier_dense:0 06072025|pcm, 05102018_papier_non_papier_peu_dense:0 06072025|pcm, 05102018_papier_non_papier_presque_vide:0 06072025|pcm, 05102018_papier_non_papier_tres_dense:0 06072025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 06072025|pcnc, 05102018_papier_non_papier_dense:0 06072025|pcnc, 05102018_papier_non_papier_peu_dense:0 06072025|pcnc, 05102018_papier_non_papier_presque_vide:0 06072025|pcnc, 05102018_papier_non_papier_tres_dense:0 06072025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 06072025|pehd_pp, 05102018_papier_non_papier_dense:0 06072025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 06072025|pehd_pp, 05102018_papier_non_papier_presque_vide:0 06072025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 06072025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 06072025|pet_clair, 05102018_papier_non_papier_dense:0 06072025|pet_clair, 05102018_papier_non_papier_peu_dense:0 06072025|pet_clair, 05102018_papier_non_papier_presque_vide:0 06072025|pet_clair, 05102018_papier_non_papier_tres_dense:0 06072025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 06072025|refus, 05102018_papier_non_papier_dense:0 06072025|refus, 05102018_papier_non_papier_peu_dense:0 06072025|refus, 05102018_papier_non_papier_presque_vide:0 06072025|refus, 05102018_papier_non_papier_tres_dense:0 06072025|refus, 05102018_papier_non_papier_tres_peu_dense:0 06072025|tapis_vide, 05102018_papier_non_papier_dense:0 06072025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 06072025|tapis_vide, 05102018_papier_non_papier_presque_vide:1370.0012338161469 06072025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 06072025|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 ! 06072025_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 40 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=06072025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24664761 with name like 06072025_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 : ['pcnc', 'gm', 'emr', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev_rigide', 'aluminium', 'tapis_vide', 'refus', 'gros_cartons', 'gm', 'flux_dev_rigide', 'gros_cartons'] 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 5.155887842178345 # DISPLAY ALL COLLECTED DATA : {'06072025': {'nb_upload': 54, 'nb_taggue_class': 54, 'nb_taggue_densite': 54, '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 [1370881295, 1370881294, 1370881293, 1370881292, 1370881291, 1370881290, 1370877733, 1370877732, 1370877731, 1370877730, 1370877728, 1370877727, 1370877543, 1370877542, 1370877541, 1370877540, 1370877539, 1370877538, 1370873957, 1370873956, 1370873955, 1370873954, 1370873953, 1370873952, 1370873673, 1370873672, 1370873671, 1370873670, 1370873669, 1370873668, 1370870702, 1370870701, 1370870700, 1370870699, 1370870698, 1370870696, 1370870371, 1370870370, 1370870369, 1370870368, 1370870367, 1370870366, 1370866983, 1370866982, 1370866981, 1370866980, 1370866979, 1370866978, 1370863546, 1370863419, 1370863395, 1370863386, 1370863370, 1370863369] Looping around the photos to save general results len do output : 1 /24653089Didn'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 ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370881295', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370881294', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370881293', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370881292', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370881291', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370881290', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877733', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877732', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877731', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877730', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877728', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877727', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877543', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877542', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370877541', None, None, None, None, None, 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'1370870371', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370870370', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370870369', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370870368', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370870367', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370870366', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370866983', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370866982', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370866981', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370866980', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370866979', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370866978', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370863546', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370863419', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370863395', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370863386', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370863370', None, None, None, None, None, '3243575') ('4323', None, None, None, None, None, None, None, '3243575') ('4323', '24653089', '1370863369', None, None, None, None, None, '3243575') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 55 time used for this insertion : 0.47461414337158203 save_final save missing photos in datou_result : time spend for datou_step_exec : 5.305978298187256 time spend to save output : 0.47514796257019043 total time spend for step 1 : 5.781126260757446 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 1.61user 0.60system 0:10.66elapsed 20%CPU (0avgtext+0avgdata 101248maxresident)k 0inputs+48outputs (0major+48862minor)pagefaults 0swaps