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 : 2846987 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 2026-02-28 17:30:29.958704 Current got : datou_id : 4891, datou_cur_ids : ['4354673'] with mtr_portfolio_ids : ['30555925'] and first list_photo_ids : [] new path : /proc/2846987/ 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 : 0.016489267349243164 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Sat Feb 28 17:30:30 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', 4), ('01', 3), ('02', 3), ('03', 4), ('04', 2), ('05', 5), ('06', 3), ('07', 3), ('08', 4), ('09', 5), ('10', 4), ('11', 2), ('12', 3), ('13', 4), ('14', 3), ('15', 5), ('16', 4), ('17', 3)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 63} 28022026 30555925 Nombre de photos uploadées : 64 / 23040 (0%) 28022026 30555925 Nombre de photos taguées (types de déchets): 63 / 64 (98%) 28022026 30555925 Nombre de photos taguées (volume) : 63 / 64 (98%) elapsed_time : load_data_split_time_score 9.5367431640625e-07 elapsed_time : order_list_meta_photo_and_scores 2.4080276489257812e-05 ? elapsed_time : fill_and_build_computed_from_old_data 0.004050254821777344 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.20205378532409668 Creating list_photo_total elapsed_time : select_descriptors 0.010125875473022461 28022026 30555925 Nombre de photos avec descriptors (type 6092) : 0 / 1 (0%) Missing descriptors for photos 0 and 1409947433 0:00:00|ON:Missing descriptors for photos 1409947433 and 1409954435 Missing descriptors for photos 1409954435 and 1409963439 Missing descriptors for photos 1409963439 and 1409970568 Missing descriptors for photos 1409970568 and 1409988310 Missing descriptors for photos 1409988310 and 1409996060 Missing descriptors for photos 1409996060 and 1410003432 Missing descriptors for photos 1410003432 and 1410010866 Missing descriptors for photos 1410010866 and 1410027118 Missing descriptors for photos 1410027118 and 1410035552 Missing descriptors for photos 1410035552 and 1410052770 Missing descriptors for photos 1410052770 and 1410058782 Missing descriptors for photos 1410058782 and 1410067973 Missing descriptors for photos 1410067973 and 1410075979 Missing descriptors for photos 1410075979 and 1410094792 Missing descriptors for photos 1410094792 and 1410107082 Missing descriptors for photos 1410107082 and 1410118286 Missing descriptors for photos 1410118286 and 1410125193 Missing descriptors for photos 1410125193 and 1410132641 Missing descriptors for photos 1410132641 and 1410137298 Missing descriptors for photos 1410137298 and 1410140210 Missing descriptors for photos 1410140210 and 1410159223 Missing descriptors for photos 1410159223 and 1410164391 Missing descriptors for photos 1410164391 and 1410170227 Missing descriptors for photos 1410170227 and 1410175667 Missing descriptors for photos 1410175667 and 1410179023 Missing descriptors for photos 1410179023 and 1410180248 Missing descriptors for photos 1410180248 and 1410180871 Missing descriptors for photos 1410180871 and 1410181341 Missing descriptors for photos 1410181341 and 1410181511 Missing descriptors for photos 1410181511 and 1410181796 Missing descriptors for photos 1410181796 and 1410182596 Missing descriptors for photos 1410182596 and 1410191016 Missing descriptors for photos 1410191016 and 1410204831 Missing descriptors for photos 1410204831 and 1410212960 Missing descriptors for photos 1410212960 and 1410219667 Missing descriptors for photos 1410219667 and 1410230984 Missing descriptors for photos 1410230984 and 1410232870 Missing descriptors for photos 1410232870 and 1410234535 Missing descriptors for photos 1410234535 and 1410234699 Missing descriptors for photos 1410234699 and 1410240305 Missing descriptors for photos 1410240305 and 1410240475 Missing descriptors for photos 1410240475 and 1410244715 Missing descriptors for photos 1410244715 and 1410245035 Missing descriptors for photos 1410245035 and 1410245887 Missing descriptors for photos 1410245887 and 1410247694 Missing descriptors for photos 1410247694 and 1410247874 Missing descriptors for photos 1410247874 and 1410247989 Missing descriptors for photos 1410247989 and 1410248191 Missing descriptors for photos 1410248191 and 1410252843 Missing descriptors for photos 1410252843 and 1410253012 Missing descriptors for photos 1410253012 and 1410253202 Missing descriptors for photos 1410253202 and 1410256356 Missing descriptors for photos 1410256356 and 1410256484 Missing descriptors for photos 1410256484 and 1410256632 Missing descriptors for photos 1410256632 and 1410258755 Missing descriptors for photos 1410258755 and 1410259861 Missing descriptors for photos 1410259861 and 1410261992 Missing descriptors for photos 1410261992 and 1410262071 Missing descriptors for photos 1410262071 and 1410263210 Missing descriptors for photos 1410263210 and 1410263326 Missing descriptors for photos 1410263326 and 1410266074 Missing descriptors for photos 1410266074 and 1410267231 Missing descriptors for photos 1410267231 and 1410267737 28022026 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 : 64 time used for this insertion : 0.01715254783630371 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.0477900505065918 Creating list_photo_total Warning list_scores null ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.0006721019744873047 Total photos : 64 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .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 : 64 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 0.0035772323608398438 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 4.76837158203125e-06 today str has not a value , we define it as the date of the first image todaystr_first : 28022026 attention , prev_timestamp is 0 , we do nothing **************************************************************Unexpected type of data : ({'photo_id': 1410267737, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/2/28/b04f2c459ce8ac174b8ba959741ffbe8.jpg', 'username': None, 'uploaded_at': 1772296203, 'text': 'image_28022026_17_29_20_9534.jpg', 'time': 1772299760.009534}, 'different') Count Time bigger than 30s : 62 #Number Photos for regression : {'28022026': {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: 0, 2107751016: 0, 2107751017: 0}}} 28022026|aluminium, 05102018_papier_non_papier_dense:0 28022026|aluminium, 05102018_papier_non_papier_peu_dense:0 28022026|aluminium, 05102018_papier_non_papier_presque_vide:0 28022026|aluminium, 05102018_papier_non_papier_tres_dense:0 28022026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 28022026|ela, 05102018_papier_non_papier_dense:0 28022026|ela, 05102018_papier_non_papier_peu_dense:0 28022026|ela, 05102018_papier_non_papier_presque_vide:0 28022026|ela, 05102018_papier_non_papier_tres_dense:0 28022026|ela, 05102018_papier_non_papier_tres_peu_dense:0 28022026|emr, 05102018_papier_non_papier_dense:0 28022026|emr, 05102018_papier_non_papier_peu_dense:0 28022026|emr, 05102018_papier_non_papier_presque_vide:0 28022026|emr, 05102018_papier_non_papier_tres_dense:0 28022026|emr, 05102018_papier_non_papier_tres_peu_dense:0 28022026|film_pedb, 05102018_papier_non_papier_dense:0 28022026|film_pedb, 05102018_papier_non_papier_peu_dense:0 28022026|film_pedb, 05102018_papier_non_papier_presque_vide:0 28022026|film_pedb, 05102018_papier_non_papier_tres_dense:0 28022026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 28022026|flux_dev, 05102018_papier_non_papier_dense:0 28022026|flux_dev, 05102018_papier_non_papier_peu_dense:0 28022026|flux_dev, 05102018_papier_non_papier_presque_vide:0 28022026|flux_dev, 05102018_papier_non_papier_tres_dense:0 28022026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 28022026|jrm, 05102018_papier_non_papier_dense:0 28022026|jrm, 05102018_papier_non_papier_peu_dense:0 28022026|jrm, 05102018_papier_non_papier_presque_vide:0 28022026|jrm, 05102018_papier_non_papier_tres_dense:0 28022026|jrm, 05102018_papier_non_papier_tres_peu_dense:0 28022026|pcm, 05102018_papier_non_papier_dense:0 28022026|pcm, 05102018_papier_non_papier_peu_dense:0 28022026|pcm, 05102018_papier_non_papier_presque_vide:0 28022026|pcm, 05102018_papier_non_papier_tres_dense:0 28022026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 28022026|pcnc, 05102018_papier_non_papier_dense:0 28022026|pcnc, 05102018_papier_non_papier_peu_dense:0 28022026|pcnc, 05102018_papier_non_papier_presque_vide:0 28022026|pcnc, 05102018_papier_non_papier_tres_dense:0 28022026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 28022026|pehd_pp, 05102018_papier_non_papier_dense:0 28022026|pehd_pp, 05102018_papier_non_papier_peu_dense:0 28022026|pehd_pp, 05102018_papier_non_papier_presque_vide:0 28022026|pehd_pp, 05102018_papier_non_papier_tres_dense:0 28022026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 28022026|pet_clair, 05102018_papier_non_papier_dense:0 28022026|pet_clair, 05102018_papier_non_papier_peu_dense:0 28022026|pet_clair, 05102018_papier_non_papier_presque_vide:0 28022026|pet_clair, 05102018_papier_non_papier_tres_dense:0 28022026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 28022026|refus, 05102018_papier_non_papier_dense:0 28022026|refus, 05102018_papier_non_papier_peu_dense:0 28022026|refus, 05102018_papier_non_papier_presque_vide:0 28022026|refus, 05102018_papier_non_papier_tres_dense:0 28022026|refus, 05102018_papier_non_papier_tres_peu_dense:0 28022026|tapis_vide, 05102018_papier_non_papier_dense:0 28022026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 28022026|tapis_vide, 05102018_papier_non_papier_presque_vide:0 28022026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 28022026|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 ! 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 0 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 0.04341626167297363 # DISPLAY ALL COLLECTED DATA : {'28022026': {'nb_upload': 64, 'nb_taggue_class': 63, 'nb_taggue_densite': 63, '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 [1410267737, 1410267231, 1410266074, 1410263326, 1410263210, 1410262071, 1410261992, 1410259861, 1410258755, 1410256632, 1410256484, 1410256356, 1410253202, 1410253012, 1410252843, 1410248191, 1410247989, 1410247874, 1410247694, 1410245887, 1410245035, 1410244715, 1410240475, 1410240305, 1410234699, 1410234535, 1410232870, 1410230984, 1410219667, 1410212960, 1410204831, 1410191016, 1410182596, 1410181796, 1410181511, 1410181341, 1410180871, 1410180248, 1410179023, 1410175667, 1410170227, 1410164391, 1410159223, 1410140210, 1410137298, 1410132641, 1410125193, 1410118286, 1410107082, 1410094792, 1410075979, 1410067973, 1410058782, 1410052770, 1410035552, 1410027118, 1410010866, 1410003432, 1409996060, 1409988310, 1409970568, 1409963439, 1409954435, 1409947433] Looping around the photos to save general results len do output : 1 /30555925Didn'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, '4354673') ('4891', '30555925', '1410267737', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410267231', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410266074', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410263326', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410263210', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410262071', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410261992', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410259861', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410258755', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410256632', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410256484', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410256356', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410253202', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410253012', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410252843', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410248191', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410247989', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410247874', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410247694', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410245887', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410245035', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410244715', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410240475', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410240305', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410234699', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410234535', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410232870', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410230984', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410219667', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410212960', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410204831', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410191016', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410182596', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410181796', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410181511', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410181341', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410180871', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410180248', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410179023', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410175667', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410170227', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410164391', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410159223', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410140210', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410137298', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410132641', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410125193', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410118286', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410107082', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410094792', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410075979', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410067973', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410058782', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410052770', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410035552', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410027118', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410010866', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1410003432', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1409996060', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1409988310', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1409970568', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1409963439', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1409954435', None, None, None, None, None, '4354673') ('4891', None, None, None, None, None, None, None, '4354673') ('4891', '30555925', '1409947433', None, None, None, None, None, '4354673') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 65 time used for this insertion : 0.023448705673217773 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.3953261375427246 time spend to save output : 0.024025440216064453 total time spend for step 1 : 0.41935157775878906 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 1.06user 0.62system 0:04.26elapsed 39%CPU (0avgtext+0avgdata 107192maxresident)k 0inputs+64outputs (3major+51960minor)pagefaults 0swaps