python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4189' -s datou_current_4189 -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 : 1221953 load datou : 4189 # 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 : 4189, datou_cur_ids : ['4345797'] with mtr_portfolio_ids : ['30433996'] and first list_photo_ids : [] new path : /proc/1221953/ 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 : 0.020765304565429688 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Feb 18 12:00:29 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': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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'}] (('10', 90),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 84} L18022026 30433996 Nombre de photos uploadées : 90 / 23040 (0%) 18022026 30433996 Nombre de photos taguées (types de déchets): 84 / 90 (93%) 18022026 30433996 Nombre de photos taguées (volume) : 84 / 90 (93%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 3.838539123535156e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL?????? elapsed_time : fill_and_build_computed_from_old_data 0.006683826446533203 LCatched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2437152862548828 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.008180379867553711 Creating list_photo_total elapsed_time : select_descriptors 0.020191431045532227 18022026 30433996 Nombre de photos avec descriptors (type 5680) : 0 / 6 (0%) Missing descriptors for photos 0 and 1408661992 L0:00:00|ON:Missing descriptors for photos 1408661992 and 1408661993 LMissing descriptors for photos 1408661993 and 1408662019 LMissing descriptors for photos 1408662019 and 1408662061 LMissing descriptors for photos 1408662061 and 1408662063 LMissing descriptors for photos 1408662063 and 1408661958 LMissing descriptors for photos 1408661958 and 1408664366 LMissing descriptors for photos 1408664366 and 1408664420 LMissing descriptors for photos 1408664420 and 1408664324 LMissing descriptors for photos 1408664324 and 1408664273 LMissing descriptors for photos 1408664273 and 1408664194 LMissing descriptors for photos 1408664194 and 1408664146 LMissing descriptors for photos 1408664146 and 1408665184 LMissing descriptors for photos 1408665184 and 1408665185 LMissing descriptors for photos 1408665185 and 1408665187 LMissing descriptors for photos 1408665187 and 1408665189 LMissing descriptors for photos 1408665189 and 1408665191 LMissing descriptors for photos 1408665191 and 1408665195 LMissing descriptors for photos 1408665195 and 1408666778 LMissing descriptors for photos 1408666778 and 1408666780 LMissing descriptors for photos 1408666780 and 1408666779 LMissing descriptors for photos 1408666779 and 1408666777 LMissing descriptors for photos 1408666777 and 1408666776 LMissing descriptors for photos 1408666776 and 1408666775 LMissing descriptors for photos 1408666775 and 1408666927 LMissing descriptors for photos 1408666927 and 1408666928 LMissing descriptors for photos 1408666928 and 1408666929 LMissing descriptors for photos 1408666929 and 1408666930 LMissing descriptors for photos 1408666930 and 1408666931 LMissing descriptors for photos 1408666931 and 1408666933 LMissing descriptors for photos 1408666933 and 1408667557 LMissing descriptors for photos 1408667557 and 1408667561 LMissing descriptors for photos 1408667561 and 1408667560 LMissing descriptors for photos 1408667560 and 1408667559 LMissing descriptors for photos 1408667559 and 1408667558 LMissing descriptors for photos 1408667558 and 1408667556 LMissing descriptors for photos 1408667556 and 1408672066 LMissing descriptors for photos 1408672066 and 1408672073 LMissing descriptors for photos 1408672073 and 1408672068 LMissing descriptors for photos 1408672068 and 1408672065 LMissing descriptors for photos 1408672065 and 1408672064 LMissing descriptors for photos 1408672064 and 1408672063 LMissing descriptors for photos 1408672063 and 1408668684 LMissing descriptors for photos 1408668684 and 1408668687 LMissing descriptors for photos 1408668687 and 1408668510 LMissing descriptors for photos 1408668510 and 1408668554 LMissing descriptors for photos 1408668554 and 1408668640 LMissing descriptors for photos 1408668640 and 1408668597 LMissing descriptors for photos 1408668597 and 1408673748 LMissing descriptors for photos 1408673748 and 1408673750 LMissing descriptors for photos 1408673750 and 1408673752 LMissing descriptors for photos 1408673752 and 1408673754 LMissing descriptors for photos 1408673754 and 1408673755 LMissing descriptors for photos 1408673755 and 1408673757 LMissing descriptors for photos 1408673757 and 1408673807 LMissing descriptors for photos 1408673807 and 1408673810 LMissing descriptors for photos 1408673810 and 1408673809 LMissing descriptors for photos 1408673809 and 1408673808 LMissing descriptors for photos 1408673808 and 1408673806 LMissing descriptors for photos 1408673806 and 1408673805 LMissing descriptors for photos 1408673805 and 1408673864 LMissing descriptors for photos 1408673864 and 1408673866 LMissing descriptors for photos 1408673866 and 1408673868 LMissing descriptors for photos 1408673868 and 1408673870 LMissing descriptors for photos 1408673870 and 1408673872 LMissing descriptors for photos 1408673872 and 1408673875 LMissing descriptors for photos 1408673875 and 1408673911 LMissing descriptors for photos 1408673911 and 1408673912 LMissing descriptors for photos 1408673912 and 1408673913 LMissing descriptors for photos 1408673913 and 1408673914 LMissing descriptors for photos 1408673914 and 1408673915 LMissing descriptors for photos 1408673915 and 1408673916 LMissing descriptors for photos 1408673916 and 1408673938 LMissing descriptors for photos 1408673938 and 1408673939 LMissing descriptors for photos 1408673939 and 1408673942 LMissing descriptors for photos 1408673942 and 1408673944 LMissing descriptors for photos 1408673944 and 1408673945 LMissing descriptors for photos 1408673945 and 1408673947 LMissing descriptors for photos 1408673947 and 1408673980 LMissing descriptors for photos 1408673980 and 1408673981 LMissing descriptors for photos 1408673981 and 1408673982 LMissing descriptors for photos 1408673982 and 1408673983 LMissing descriptors for photos 1408673983 and 1408673985 LMissing descriptors for photos 1408673985 and 1408673986 LMissing descriptors for photos 1408673986 and 1408674016 LMissing descriptors for photos 1408674016 and 1408674017 LMissing descriptors for photos 1408674017 and 1408674018 LMissing descriptors for photos 1408674018 and 1408674019 LMissing descriptors for photos 1408674019 and 1408674020 LMissing descriptors for photos 1408674020 and 1408674021 L 18022026 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 : 90 time used for this insertion : 0.023732662200927734 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.06521773338317871 To do, maybe not at the correct place ! .L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.008939027786254883 NUMBER BATCH : 1 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] We have rejected 6 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.028410673141479492 # DISPLAY ALL COLLECTED DATA : {'18022026': {'nb_upload': 90, 'nb_taggue_class': 84, 'nb_taggue_densite': 84, 'nb_descriptors': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1408674021, 1408674020, 1408674019, 1408674018, 1408674017, 1408674016, 1408673986, 1408673985, 1408673983, 1408673982, 1408673981, 1408673980, 1408673947, 1408673945, 1408673944, 1408673942, 1408673939, 1408673938, 1408673916, 1408673915, 1408673914, 1408673913, 1408673912, 1408673911, 1408673875, 1408673872, 1408673870, 1408673868, 1408673866, 1408673864, 1408673810, 1408673809, 1408673808, 1408673807, 1408673806, 1408673805, 1408673757, 1408673755, 1408673754, 1408673752, 1408673750, 1408673748, 1408672073, 1408672068, 1408672066, 1408672065, 1408672064, 1408672063, 1408668687, 1408668684, 1408668640, 1408668597, 1408668554, 1408668510, 1408667561, 1408667560, 1408667559, 1408667558, 1408667557, 1408667556, 1408666933, 1408666931, 1408666930, 1408666929, 1408666928, 1408666927, 1408666780, 1408666779, 1408666778, 1408666777, 1408666776, 1408666775, 1408665195, 1408665191, 1408665189, 1408665187, 1408665185, 1408665184, 1408664420, 1408664366, 1408664324, 1408664273, 1408664194, 1408664146, 1408662063, 1408662061, 1408662019, 1408661993, 1408661992, 1408661958] Looping around the photos to save general results len do output : 1 /30433996Didn'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 ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408674021', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408674020', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408674019', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408674018', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408674017', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408674016', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673986', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673985', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673983', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673982', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673981', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673980', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673947', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673945', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673944', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673942', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673939', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673938', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673916', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673915', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673914', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673913', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673912', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673911', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673875', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673872', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673870', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673868', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673866', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673864', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673810', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673809', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673808', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673807', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673806', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673805', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673757', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673755', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673754', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673752', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673750', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408673748', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408672073', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408672068', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408672066', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408672065', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408672064', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408672063', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408668687', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408668684', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408668640', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408668597', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408668554', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408668510', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408667561', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408667560', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408667559', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408667558', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408667557', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408667556', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666933', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666931', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666930', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666929', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666928', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666927', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666780', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666779', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666778', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666777', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666776', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408666775', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408665195', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408665191', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408665189', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408665187', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408665185', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408665184', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408664420', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408664366', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408664324', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408664273', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408664194', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408664146', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408662063', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408662061', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408662019', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408661993', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408661992', None, None, None, None, None, '4345797') ('4189', None, None, None, None, None, None, None, '4345797') ('4189', '30433996', '1408661958', None, None, None, None, None, '4345797') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 91 time used for this insertion : 0.04267477989196777 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.48464226722717285 time spend to save output : 0.04340672492980957 total time spend for step 1 : 0.5280489921569824 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 0.40system 0:04.01elapsed 41%CPU (0avgtext+0avgdata 109160maxresident)k 16inputs+48outputs (2major+52235minor)pagefaults 0swaps