TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Current got : datou_id : 4891, datou_cur_ids : ['2733905'] with mtr_portfolio_ids : ['22151582'] and first list_photo_ids : [] new path : /proc/489784/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : split_time_score over limit max, limiting to limit_max 100 list_input_json : {} origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.027024030685424805 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Apr 9 10:30:29 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 153), ('01', 176), ('02', 169), ('03', 73)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 571} 09042025 22151582 Nombre de photos uploadées : 571 / 23040 (2%) 09042025 22151582 Nombre de photos taguées (types de déchets): 571 / 571 (100%) 09042025 22151582 Nombre de photos taguées (volume) : 571 / 571 (100%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 0.0002257823944091797 elapsed_time : fill_and_build_computed_from_old_data 0.06376242637634277 elapsed_time : insert_dashboard_record_day_entry 0.02294445037841797 Creating list_photo_total elapsed_time : select_descriptors 0.016014814376831055 09042025 22151582 Nombre de photos avec descriptors (type 6092) : 0 / 0 (0%) Missing descriptors for photos 0 and 1350671050 0:00:00|ON:Missing descriptors for photos 1350671050 and 1350671054 Missing descriptors for photos 1350671054 and 1350671058 Missing descriptors for photos 1350671058 and 1350671095 Missing descriptors for photos 1350671095 and 1350671098 Missing descriptors for photos 1350671098 and 1350671101 Missing descriptors for photos 1350671101 and 1350671128 Missing descriptors for photos 1350671128 and 1350671131 Missing descriptors for photos 1350671131 and 1350671163 Missing descriptors for photos 1350671163 and 1350671206 Missing descriptors for photos 1350671206 and 1350671247 Missing descriptors for photos 1350671247 and 1350671289 Missing descriptors for photos 1350671289 and 1350671294 Missing 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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 : 571 time used for this insertion : 0.08918142318725586 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.13016700744628906 Creating list_photo_total elapsed_time : count_sum_diff_and_build_graph 0.008289098739624023 Total photos : 571 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find 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max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find 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max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .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 : 571 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 0.05310559272766113 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 1.1205673217773438e-05 today str has not a value , we define it as the date of the first image todaystr_first : 09042025 attention , prev_timestamp is 0 , we do nothing *******************************************************************************************************************Count Time bigger than 30s : 115 #Number Photos for regression : {'09042025': {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: 12172.001300811768, 2107751016: 0, 2107751017: 0}}} 09042025|aluminium, 05102018_papier_non_papier_dense:0 09042025|aluminium, 05102018_papier_non_papier_peu_dense:0 09042025|aluminium, 05102018_papier_non_papier_presque_vide:0 09042025|aluminium, 05102018_papier_non_papier_tres_dense:0 09042025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 09042025|ela, 05102018_papier_non_papier_dense:0 09042025|ela, 05102018_papier_non_papier_peu_dense:0 09042025|ela, 05102018_papier_non_papier_presque_vide:0 09042025|ela, 05102018_papier_non_papier_tres_dense:0 09042025|ela, 05102018_papier_non_papier_tres_peu_dense:0 09042025|emr, 05102018_papier_non_papier_dense:0 09042025|emr, 05102018_papier_non_papier_peu_dense:0 09042025|emr, 05102018_papier_non_papier_presque_vide:0 09042025|emr, 05102018_papier_non_papier_tres_dense:0 09042025|emr, 05102018_papier_non_papier_tres_peu_dense:0 09042025|film_pedb, 05102018_papier_non_papier_dense:0 09042025|film_pedb, 05102018_papier_non_papier_peu_dense:0 09042025|film_pedb, 05102018_papier_non_papier_presque_vide:0 09042025|film_pedb, 05102018_papier_non_papier_tres_dense:0 09042025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 09042025|flux_dev, 05102018_papier_non_papier_dense:0 09042025|flux_dev, 05102018_papier_non_papier_peu_dense:0 09042025|flux_dev, 05102018_papier_non_papier_presque_vide:0 09042025|flux_dev, 05102018_papier_non_papier_tres_dense:0 09042025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 09042025|jrm, 05102018_papier_non_papier_dense:0 09042025|jrm, 05102018_papier_non_papier_peu_dense:0 09042025|jrm, 05102018_papier_non_papier_presque_vide:0 09042025|jrm, 05102018_papier_non_papier_tres_dense:0 09042025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 09042025|pcm, 05102018_papier_non_papier_dense:0 09042025|pcm, 05102018_papier_non_papier_peu_dense:0 09042025|pcm, 05102018_papier_non_papier_presque_vide:0 09042025|pcm, 05102018_papier_non_papier_tres_dense:0 09042025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 09042025|pcnc, 05102018_papier_non_papier_dense:0 09042025|pcnc, 05102018_papier_non_papier_peu_dense:0 09042025|pcnc, 05102018_papier_non_papier_presque_vide:0 09042025|pcnc, 05102018_papier_non_papier_tres_dense:0 09042025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 09042025|pehd_pp, 05102018_papier_non_papier_dense:0 09042025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 09042025|pehd_pp, 05102018_papier_non_papier_presque_vide:0 09042025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 09042025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 09042025|pet_clair, 05102018_papier_non_papier_dense:0 09042025|pet_clair, 05102018_papier_non_papier_peu_dense:0 09042025|pet_clair, 05102018_papier_non_papier_presque_vide:0 09042025|pet_clair, 05102018_papier_non_papier_tres_dense:0 09042025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 09042025|refus, 05102018_papier_non_papier_dense:0 09042025|refus, 05102018_papier_non_papier_peu_dense:0 09042025|refus, 05102018_papier_non_papier_presque_vide:0 09042025|refus, 05102018_papier_non_papier_tres_dense:0 09042025|refus, 05102018_papier_non_papier_tres_peu_dense:0 09042025|tapis_vide, 05102018_papier_non_papier_dense:0 09042025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 09042025|tapis_vide, 05102018_papier_non_papier_presque_vide:12172.001300811768 09042025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 09042025|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 ! 09042025_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 569 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=09042025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22156097 with name like 09042025_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 1.7744359970092773 # DISPLAY ALL COLLECTED DATA : {'09042025': {'nb_upload': 571, 'nb_taggue_class': 571, 'nb_taggue_densite': 571, '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 [1350676622, 1350676617, 1350676615, 1350676611, 1350676554, 1350676550, 1350676526, 1350676503, 1350676500, 1350676496, 1350676480, 1350676477, 1350676474, 1350676472, 1350676469, 1350676458, 1350676455, 1350676450, 1350676446, 1350676441, 1350676389, 1350676387, 1350676384, 1350676363, 1350676361, 1350676358, 1350676354, 1350676341, 1350676327, 1350676323, 1350676298, 1350676277, 1350676275, 1350676271, 1350676268, 1350676267, 1350676245, 1350676221, 1350676218, 1350676215, 1350676188, 1350676185, 1350676182, 1350676177, 1350676173, 1350676170, 1350676165, 1350676132, 1350676131, 1350676129, 1350676112, 1350676103, 1350676092, 1350676089, 1350676087, 1350676084, 1350676069, 1350676050, 1350676048, 1350676024, 1350676022, 1350676021, 1350676005, 1350676002, 1350675989, 1350675984, 1350675981, 1350675977, 1350675963, 1350675960, 1350675956, 1350675933, 1350675928, 1350675926, 1350675912, 1350675910, 1350675907, 1350675886, 1350675880, 1350675874, 1350675858, 1350675855, 1350675854, 1350675853, 1350675844, 1350675843, 1350675842, 1350675841, 1350675811, 1350675793, 1350675783, 1350675781, 1350675779, 1350675776, 1350675760, 1350675759, 1350675758, 1350675747, 1350675744, 1350675733] Looping around the photos to save general results len do output : 1 /22151582Didn'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, '2733905') ('4891', '22151582', '1350676622', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676617', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676615', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676611', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676554', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676550', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676526', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676503', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676500', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676496', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676480', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676477', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676474', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676472', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676469', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676458', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676455', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676450', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676446', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676441', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676389', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676387', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676384', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676363', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676361', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676358', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676354', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676341', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676327', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676323', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676298', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676277', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676275', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676271', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676268', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676267', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676245', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676221', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676218', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676215', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676188', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676185', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676182', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676177', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676173', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676170', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676165', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676132', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676131', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676129', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676112', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676103', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676092', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676089', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676087', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676084', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676069', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676050', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676048', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676024', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676022', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676021', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676005', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350676002', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675989', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675984', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675981', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675977', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675963', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675960', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675956', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675933', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675928', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675926', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675912', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675910', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675907', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675886', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675880', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675874', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675858', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675855', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675854', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675853', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675844', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675843', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675842', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675841', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675811', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675793', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675783', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675781', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675779', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675776', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675760', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675759', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675758', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675747', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675744', None, None, None, None, None, '2733905') ('4891', None, None, None, None, None, None, None, '2733905') ('4891', '22151582', '1350675733', None, None, None, None, None, '2733905') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.028788089752197266 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.2146339416503906 time spend to save output : 0.029754638671875 total time spend for step 1 : 2.2443885803222656 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 1.83user 0.56system 0:05.58elapsed 43%CPU (0avgtext+0avgdata 104564maxresident)k 0inputs+168outputs (0major+49571minor)pagefaults 0swaps