python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4876' -s datou_current_4876 -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 : 3489267 load datou : 4876 # 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 we have a portfolio with more photos than limit : 4189>1000 please execute split_portfolio.py -i 20899997 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2625325'] with mtr_portfolio_ids : ['20899997'] and first list_photo_ids : [] new path : /proc/3489267/ 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 : 0.03363204002380371 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Feb 28 23:24:30 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 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'}] (('00', 179), ('01', 91), ('02', 259), ('03', 272), ('04', 42), ('05', 256), ('06', 274), ('07', 286), ('08', 298), ('09', 138), ('10', 300), ('11', 270), ('12', 60), ('13', 82), ('14', 187), ('15', 181), ('16', 241), ('17', 142), ('18', 153), ('19', 237), ('20', 204), ('21', 16), ('22', 20), ('23', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 4001, 2: 1} 28022025 20899997 Nombre de photos uploadées : 31 / 23040 (0%) 28022025 20899997 Nombre de photos taguées (types de déchets): 4002 / 31 (12909%) 28022025 20899997 Nombre de photos taguées (volume) : 4002 / 31 (12909%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0015451908111572266 ??????????????? elapsed_time : fill_and_build_computed_from_old_data 0.001806020736694336 elapsed_time : insert_dashboard_record_day_entry 0.02259540557861328 Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.005367755889892578 photos_removed : len 0 elapsed_time : load_duplicate_info 0.00872039794921875 ***** BEGIN SPLIT TIME ***** True 1740700800.0 `1740773904.010134 1740773700.0 `1740774375.010138 1740773700.0 `1740774385.010135 1740773700.0 `1740774535.010138 1740773700.0 `1740774635.010241 1740774600.0 `1740775464.010138 1740774600.0 `1740775474.010147 1740774600.0 `1740775484.010138 1740774600.0 `1740775495.010135 1740774600.0 `1740775795.010137 1740775500.0 `1740776495.010154 1740776400.0 `1740776705.01016 1740776400.0 `1740777014.010139 1740776400.0 `1740777154.01014 1740776400.0 `1740777164.010143 1740776400.0 `1740777254.010141 1740776400.0 `1740777485.010165 1740777300.0 `1740777494.009128 1740777300.0 `1740777765.010139 1740777300.0 `1740777804.010136 1740777300.0 `1740778224.010136 1740778200.0 `1740778274.009125 1740778200.0 `1740778284.010135 1740778200.0 `1740778335.010139 1740778200.0 `1740778354.010145 1740778200.0 `1740778644.010141 1740778200.0 `1740778905.010138 1740778200.0 `1740779134.010147 1740779100.0 `1740779144.010143 1740779100.0 `1740779454.010139 1740779100.0 `1740780723.009136 1740780000.0 list printed: [[0, 1, 2, 3], [4, 5, 6, 7, 8], [9], [10, 11, 12, 13, 14, 15], [16, 17, 18, 19], [20, 21, 22, 23, 24, 25, 26], [27, 28, 29], [30]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.006134033203125 ***** END SPLIT TIME ***** NUMBER BATCH : 8 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] We have rejected 31 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.021801233291625977 # DISPLAY ALL COLLECTED DATA : {'28022025': {'nb_upload': 31, 'nb_taggue_class': 4002, 'nb_taggue_densite': 4002}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1340238584, 1340238550, 1340235296, 1340234463, 1340234461, 1340233805, 1340233592, 1340232126, 1340232110, 1340231864, 1340231861, 1340231815, 1340230744, 1340230691, 1340229675, 1340229614, 1340229160, 1340228956, 1340228947, 1340228733, 1340227662, 1340227354, 1340224578, 1340224321, 1340224317, 1340224311, 1340224307, 1340220106, 1340219935, 1340219733, 1340219728, 1340219075, 1340219041, 1340219006, 1340218251, 1340218246, 1340218135, 1340216739, 1340215502, 1340214708, 1340214614, 1340214609, 1340214605, 1340214600, 1340214545, 1340214543, 1340214537, 1340214534, 1340214522, 1340214481, 1340214477, 1340214474, 1340214470, 1340214438, 1340214434, 1340214343, 1340214320, 1340214299, 1340214233, 1340214230, 1340214071, 1340214057, 1340214050, 1340214045, 1340214041, 1340214037, 1340213895, 1340213892, 1340213716, 1340213709, 1340213687, 1340213606, 1340213600, 1340213595, 1340213591, 1340213587, 1340213567, 1340213552, 1340213539, 1340213534, 1340213531, 1340213528, 1340213343, 1340213243, 1340213241, 1340213237, 1340213209, 1340213193, 1340213189, 1340213184, 1340213180, 1340213175, 1340213119, 1340213114, 1340213111, 1340213107, 1340213093, 1340213089, 1340213083, 1340213075] Looping around the photos to save general results len do output : 1 /20899997Didn'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 ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340238584', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340238550', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340235296', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340234463', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340234461', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340233805', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340233592', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340232126', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340232110', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340231864', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340231861', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340231815', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340230744', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340230691', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340229675', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340229614', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340229160', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340228956', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340228947', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340228733', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340227662', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340227354', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340224578', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340224321', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340224317', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340224311', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340224307', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340220106', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340219935', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340219733', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340219728', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340219075', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340219041', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340219006', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340218251', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340218246', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340218135', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340216739', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340215502', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214708', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214614', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214609', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214605', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214600', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214545', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214543', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214537', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214534', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214522', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214481', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214477', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214474', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214470', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214438', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214434', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214343', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214320', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214299', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214233', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214230', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214071', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214057', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214050', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214045', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214041', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340214037', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213895', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213892', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213716', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213709', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213687', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213606', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213600', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213595', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213591', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213587', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213567', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213552', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213539', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213534', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213531', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213528', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213343', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213243', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213241', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213237', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213209', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213193', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213189', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213184', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213180', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213175', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213119', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213114', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213111', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213107', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213093', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213089', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213083', None, None, None, None, None, '2625325') ('4876', None, None, None, None, None, None, None, '2625325') ('4876', '20899997', '1340213075', None, None, None, None, None, '2625325') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.029877185821533203 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.3997173309326172 time spend to save output : 0.03074336051940918 total time spend for step 1 : 0.43046069145202637 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 1.38user 0.36system 0:05.17elapsed 33%CPU (0avgtext+0avgdata 104128maxresident)k 0inputs+48outputs (0major+49669minor)pagefaults 0swaps