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 : 2682938 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: {} Date 2026-03-16 12:30:29.552849 Current got : datou_id : 4189, datou_cur_ids : ['4362643'] with mtr_portfolio_ids : ['30767153'] and first list_photo_ids : [] new path : /proc/2682938/ 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 : 0.02138495445251465 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Mar 16 12:30:29 2026 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 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', 103),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 103} 16032026 30767153 Nombre de photos uploadées : 103 / 23040 (0%) 16032026 30767153 Nombre de photos taguées (types de déchets): 103 / 103 (100%) 16032026 30767153 Nombre de photos taguées (volume) : 103 / 103 (100%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 5.91278076171875e-05 LLLLLLLLLLLLLLLLLLLLL elapsed_time : fill_and_build_computed_from_old_data 0.007775306701660156 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.21294093132019043 LLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags elapsed_time : list_photo_by_hashtags 0.027337074279785156 Creating list_photo_total Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/5680.1412448399.desc 404 Not Found [first 60 chars of response] b'

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The resource could not be found.<' Unable to find some descriptors in ovh, trying to find them in s3 Number missing : 100 Warning this was a bad idea s3 ! elapsed_time : select_descriptors 12.448288440704346 Missing descriptors : 100 16032026 30767153 Nombre de photos avec descriptors (type 5680) : 3 / 103 (2%) Missing descriptors for photos 0 and 1412448399 0:00:00|ON:Missing descriptors for photos 1412448399 and 1412448401 Missing descriptors for photos 1412448401 and 1412448437 Missing descriptors for photos 1412448437 and 1412448492 Missing descriptors for photos 1412448492 and 1412448526 Missing descriptors for photos 1412448526 and 1412450338 Missing descriptors for photos 1412450338 and 1412450389 Missing descriptors for photos 1412450389 and 1412450440 Missing descriptors for photos 1412450440 and 1412450489 Missing descriptors for photos 1412450489 and 1412450509 Missing descriptors for photos 1412450509 and 1412450516 Missing descriptors for photos 1412450516 and 1412451548 Missing descriptors for photos 1412451548 and 1412451549 Missing descriptors for photos 1412451549 and 1412451550 Missing descriptors for photos 1412451550 and 1412451551 Missing descriptors for photos 1412451551 and 1412451553 Missing descriptors for photos 1412451553 and 1412451556 Missing descriptors for photos 1412451556 and 1412452115 Missing descriptors for photos 1412452115 and 1412452168 Missing descriptors for photos 1412452168 and 1412452240 Missing descriptors for photos 1412452240 and 1412452273 Missing descriptors for photos 1412452273 and 1412452288 Missing descriptors for photos 1412452288 and 1412452326 Missing descriptors for photos 1412452326 and 1412452895 Missing descriptors for photos 1412452895 and 1412452896 Missing descriptors for photos 1412452896 and 1412452897 Missing descriptors for photos 1412452897 and 1412452898 Missing descriptors for photos 1412452898 and 1412452899 Missing descriptors for photos 1412452899 and 1412452900 Missing descriptors for photos 1412452900 and 1412455535 Missing descriptors for photos 1412455535 and 1412457606 Missing descriptors for photos 1412457606 and 1412455588 Missing descriptors for photos 1412455588 and 1412455643 Missing descriptors for photos 1412455643 and 1412455709 Missing descriptors for photos 1412455709 and 1412455769 Missing descriptors for photos 1412455769 and 1412457607 Missing descriptors for photos 1412457607 and 1412457608 Missing descriptors for photos 1412457608 and 1412457610 Missing descriptors for photos 1412457610 and 1412457612 Missing descriptors for photos 1412457612 and 1412457614 Missing descriptors for photos 1412457614 and 1412458122 Missing descriptors for photos 1412458122 and 1412458123 Missing descriptors for photos 1412458123 and 1412458124 Missing descriptors for photos 1412458124 and 1412458126 Missing descriptors for photos 1412458126 and 1412458128 Missing descriptors for photos 1412458128 and 1412458130 Missing descriptors for photos 1412458130 and 1412459697 Missing descriptors for photos 1412459697 and 1412459783 Missing descriptors for photos 1412459783 and 1412459785 Missing descriptors for photos 1412459785 and 1412459786 Missing descriptors for photos 1412459786 and 1412459787 Missing descriptors for photos 1412459787 and 1412459788 Missing descriptors for photos 1412459788 and 1412460220 Missing descriptors for photos 1412460220 and 1412460221 Missing descriptors for photos 1412460221 and 1412460223 Missing descriptors for photos 1412460223 and 1412460226 Missing descriptors for photos 1412460226 and 1412460228 Missing descriptors for photos 1412460228 and 1412460230 Missing descriptors for photos 1412460230 and 1412461257 Missing descriptors for photos 1412461257 and 1412461258 Missing descriptors for photos 1412461258 and 1412461259 Missing descriptors for photos 1412461259 and 1412461260 Missing descriptors for photos 1412461260 and 1412461262 Missing descriptors for photos 1412461262 and 1412461263 Missing descriptors for photos 1412461263 and 1412461395 Missing descriptors for photos 1412461395 and 1412461397 Missing descriptors for photos 1412461397 and 1412461399 Missing descriptors for photos 1412461399 and 1412461402 Missing descriptors for photos 1412461402 and 1412461404 Missing descriptors for photos 1412461404 and 1412461437 Missing descriptors for photos 1412461437 and 1412461824 Missing descriptors for photos 1412461824 and 1412461826 Missing descriptors for photos 1412461826 and 1412461828 Missing descriptors for photos 1412461828 and 1412461831 Missing descriptors for photos 1412461831 and 1412461832 Missing descriptors for photos 1412461832 and 1412461833 Missing descriptors for photos 1412461833 and 1412461856 Missing descriptors for photos 1412461856 and 1412461858 Missing descriptors for photos 1412461858 and 1412461861 Missing descriptors for photos 1412461861 and 1412461865 Missing descriptors for photos 1412461865 and 1412461869 Missing descriptors for photos 1412461869 and 1412461871 ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1412462776 photo_id_prec : 1412461871 L WARNING condition_same_param while we were looking loading descriptors LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1412462777 photo_id_prec : 1412464360 LLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1412464361 photo_id_prec : 1412462778 LMissing descriptors for photos 1412464361 and 1412464362 LMissing descriptors for photos 1412464362 and 1412464364 LMissing descriptors for photos 1412464364 and 1412464367 LMissing descriptors for photos 1412464367 and 1412464368 LMissing descriptors for photos 1412464368 and 1412464386 LMissing descriptors for photos 1412464386 and 1412464387 LMissing descriptors for photos 1412464387 and 1412464388 LMissing descriptors for photos 1412464388 and 1412464390 LMissing descriptors for photos 1412464390 and 1412464393 LMissing descriptors for photos 1412464393 and 1412464395 LMissing descriptors for photos 1412464395 and 1412465583 LMissing descriptors for photos 1412465583 and 1412465584 LMissing descriptors for photos 1412465584 and 1412465585 LMissing descriptors for photos 1412465585 and 1412465586 LMissing descriptors for photos 1412465586 and 1412465587 LMissing descriptors for photos 1412465587 and 1412465589 L 16032026 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 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 103 time used for this insertion : 0.03171110153198242 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.05586075782775879 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.008129119873046875 NUMBER BATCH : 2 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '16032026', 'map_nb_amount': {0: 2, 1: 83, 2: 0, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.429309129715, 'nb_balles_papier': 0.000980000000000002, 'begin_time_port': 'image_16032026_10_00_02_989879m0.jpg 6e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000980000000000002 We have rejected 5 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 1 list_same_port_ids : [] # 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) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=30768836 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 4.085678339004517 # DISPLAY ALL COLLECTED DATA : {'16032026': {'nb_upload': 103, 'nb_taggue_class': 103, 'nb_taggue_densite': 103, 'nb_descriptors': 3}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1412465589, 1412465587, 1412465586, 1412465585, 1412465584, 1412465583, 1412464395, 1412464393, 1412464390, 1412464388, 1412464387, 1412464386, 1412464368, 1412464367, 1412464364, 1412464362, 1412464361, 1412464360, 1412462778, 1412462777, 1412462776, 1412461871, 1412461869, 1412461865, 1412461861, 1412461858, 1412461856, 1412461833, 1412461832, 1412461831, 1412461828, 1412461826, 1412461824, 1412461437, 1412461404, 1412461402, 1412461399, 1412461397, 1412461395, 1412461263, 1412461262, 1412461260, 1412461259, 1412461258, 1412461257, 1412460230, 1412460228, 1412460226, 1412460223, 1412460221, 1412460220, 1412459788, 1412459787, 1412459786, 1412459785, 1412459783, 1412459697, 1412458130, 1412458128, 1412458126, 1412458124, 1412458123, 1412458122, 1412457614, 1412457612, 1412457610, 1412457608, 1412457607, 1412457606, 1412455769, 1412455709, 1412455643, 1412455588, 1412455535, 1412452900, 1412452899, 1412452898, 1412452897, 1412452896, 1412452895, 1412452326, 1412452288, 1412452273, 1412452240, 1412452168, 1412452115, 1412451556, 1412451553, 1412451551, 1412451550, 1412451549, 1412451548, 1412450516, 1412450509, 1412450489, 1412450440, 1412450389, 1412450338, 1412448526, 1412448492] Looping around the photos to save general results len do output : 1 /30767153Didn'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, '4362643') ('4189', '30767153', '1412465589', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412465587', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412465586', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412465585', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412465584', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412465583', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464395', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464393', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464390', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464388', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464387', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464386', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464368', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464367', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464364', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464362', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464361', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412464360', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412462778', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412462777', None, None, None, None, None, '4362643') ('4189', None, None, None, None, 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('4189', '30767153', '1412461833', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412461832', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412461831', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412461828', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412461826', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412461824', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412461437', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412461404', 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'30767153', '1412450516', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412450509', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412450489', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412450440', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412450389', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412450338', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412448526', None, None, None, None, None, '4362643') ('4189', None, None, None, None, None, None, None, '4362643') ('4189', '30767153', '1412448492', None, None, None, None, None, '4362643') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.028139114379882812 save_final save missing photos in datou_result : time spend for datou_step_exec : 16.934702396392822 time spend to save output : 0.028925180435180664 total time spend for step 1 : 16.963627576828003 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 1.66user 0.75system 0:21.26elapsed 11%CPU (0avgtext+0avgdata 111740maxresident)k 392inputs+168outputs (4major+64838minor)pagefaults 0swaps