python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4323' -s datou_current_4323 -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 : 2772264 load datou : 4323 # 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 : 1580>1000 please execute split_portfolio.py -i 25116162 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4323, datou_cur_ids : ['3315026'] with mtr_portfolio_ids : ['25116162'] and first list_photo_ids : [] new path : /proc/2772264/ 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 : 0.025725603103637695 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Jul 21 17:10:27 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': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', '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': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, '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', 677), ('01', 377), ('02', 86), ('08', 75), ('09', 90), ('10', 18), ('11', 96), ('12', 78), ('13', 26), ('14', 57)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1580} 21072025 25116162 Nombre de photos uploadées : 1580 / 23040 (6%) 21072025 25116162 Nombre de photos taguées (types de déchets): 1580 / 1580 (100%) 21072025 25116162 Nombre de photos taguées (volume) : 1580 / 1580 (100%) elapsed_time : load_data_split_time_score 3.814697265625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0006625652313232422 elapsed_time : fill_and_build_computed_from_old_data 0.09902834892272949 elapsed_time : insert_dashboard_record_day_entry 0.03136467933654785 Creating list_photo_total elapsed_time : select_descriptors 7.8236777782440186 21072025 25116162 Nombre de photos avec descriptors (type 6032) : 157 / 157 (100%) Missing descriptors for photos 0 and 1372944841 0:00:00|ON:Missing descriptors for photos 1372944841 and 1372946560 Missing descriptors for photos 1372946560 and 1372948235 Missing descriptors for photos 1372948235 and 1372949367 Missing descriptors for photos 1372949367 and 1372949433 Missing descriptors for photos 1372949433 and 1372950653 Missing descriptors for photos 1372950653 and 1372951750 Missing descriptors for photos 1372951750 and 1372951778 Missing descriptors for photos 1372951778 and 1372951799 Missing descriptors for photos 1372951799 and 1372951839 Missing descriptors for photos 1372951839 and 1372951857 Missing descriptors for photos 1372951857 and 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1372957017 Missing descriptors for photos 1372957017 and 1372957081 Missing descriptors for photos 1372957081 and 1372957016 Missing descriptors for photos 1372957016 and 1372957078 Missing descriptors for photos 1372957078 and 1372955071 Missing descriptors for photos 1372955071 and 1372957014 Missing descriptors for photos 1372957014 and 1372957077 Missing descriptors for photos 1372957077 and 1372955069 Missing descriptors for photos 1372955069 and 1372957005 Missing descriptors for photos 1372957005 and 1372957075 Missing descriptors for photos 1372957075 and 1372955068 Missing descriptors for photos 1372955068 and 1372956909 Missing descriptors for photos 1372956909 and 1372956970 Missing descriptors for photos 1372956970 and 1372956907 Missing descriptors for photos 1372956907 and 1372956967 Missing descriptors for photos 1372956967 and 1372956905 Missing descriptors for photos 1372956905 and 1372956964 Missing descriptors for photos 1372956964 and 1372956889 Missing descriptors for photos 1372956889 and 1372956903 Missing descriptors for photos 1372956903 and 1372956963 Missing descriptors for photos 1372956963 and 1372955067 Missing descriptors for photos 1372955067 and 1372956887 Missing descriptors for photos 1372956887 and 1372956901 Missing descriptors for photos 1372956901 and 1372956962 Missing descriptors for photos 1372956962 and 1372956885 Missing descriptors for photos 1372956885 and 1372956900 Missing descriptors for photos 1372956900 and 1372956961 Missing descriptors for photos 1372956961 and 1372955600 Missing descriptors for photos 1372955600 and 1372956865 Missing descriptors for photos 1372956865 and 1372955231 Missing descriptors for photos 1372955231 and 1372955533 Missing descriptors for photos 1372955533 and 1372956863 Missing descriptors for photos 1372956863 and 1372956919 Missing descriptors for photos 1372956919 and 1372955230 Missing descriptors for photos 1372955230 and 1372955244 Missing descriptors for photos 1372955244 and 1372955478 Missing descriptors for photos 1372955478 and 1372956178 Missing descriptors for photos 1372956178 and 1372956861 Missing descriptors for photos 1372956861 and 1372956918 Missing descriptors for photos 1372956918 and 1372955228 Missing descriptors for photos 1372955228 and 1372955241 Missing descriptors for photos 1372955241 and 1372955254 Missing descriptors for photos 1372955254 and 1372955416 Missing descriptors for photos 1372955416 and 1372956084 Missing descriptors for photos 1372956084 and 1372956859 Missing descriptors for photos 1372956859 and 1372956916 Missing descriptors for photos 1372956916 and 1372955212 Missing descriptors for photos 1372955212 and 1372955239 Missing descriptors for photos 1372955239 and 1372955246 Missing descriptors for photos 1372955246 and 1372955252 Missing descriptors for photos 1372955252 and 1372955388 Missing descriptors for photos 1372955388 and 1372956015 Missing descriptors for photos 1372956015 and 1372956857 Missing descriptors for photos 1372956857 and 1372956915 Missing descriptors for photos 1372956915 and 1372955209 Missing descriptors for photos 1372955209 and 1372955237 Missing descriptors for photos 1372955237 and 1372955243 Missing descriptors for photos 1372955243 and 1372955250 Missing descriptors for photos 1372955250 and 1372955361 Missing descriptors for photos 1372955361 and 1372955960 Missing descriptors for photos 1372955960 and 1372956855 Missing descriptors for photos 1372956855 and 1372956914 Missing descriptors for photos 1372956914 and 1372959176 Missing descriptors for photos 1372959176 and 1372959175 Missing descriptors for photos 1372959175 and 1372959173 Missing descriptors for photos 1372959173 and 1372959171 Missing descriptors for photos 1372959171 and 1372957526 Missing descriptors for photos 1372957526 and 1372959165 Missing descriptors for photos 1372959165 and 1372957524 Missing descriptors for photos 1372957524 and 1372959164 Missing descriptors for photos 1372959164 and 1372957409 Missing descriptors for photos 1372957409 and 1372957472 Missing descriptors for photos 1372957472 and 1372957522 Missing descriptors for photos 1372957522 and 1372959133 Missing descriptors for photos 1372959133 and 1372959163 Missing descriptors for photos 1372959163 and 1372957407 Missing descriptors for photos 1372957407 and 1372957470 Missing descriptors for photos 1372957470 and 1372957520 Missing descriptors for photos 1372957520 and 1372957541 Missing descriptors for photos 1372957541 and 1372957573 Missing descriptors for photos 1372957573 and 1372959131 Missing descriptors for photos 1372959131 and 1372959160 Missing descriptors for photos 1372959160 and 1372959162 Missing descriptors for photos 1372959162 and 1372957406 Missing descriptors for photos 1372957406 and 1372957463 Missing descriptors for photos 1372957463 and 1372957468 Missing descriptors for photos 1372957468 and 1372957481 Missing descriptors for photos 1372957481 and 1372957486 Missing descriptors for photos 1372957486 and 1372957517 Missing descriptors for photos 1372957517 and 1372957540 Missing descriptors for photos 1372957540 and 1372957564 Missing descriptors for photos 1372957564 and 1372957571 Missing descriptors for photos 1372957571 and 1372959121 Missing descriptors for photos 1372959121 and 1372959130 Missing descriptors for photos 1372959130 and 1372959158 Missing descriptors for photos 1372959158 and 1372959161 Missing descriptors for photos 1372959161 and 1372959191 Missing descriptors for photos 1372959191 and 1372957218 Missing descriptors for photos 1372957218 and 1372957405 Missing descriptors for photos 1372957405 and 1372957460 Missing descriptors for photos 1372957460 and 1372957466 Missing descriptors for photos 1372957466 and 1372957479 Missing descriptors for photos 1372957479 and 1372957484 Missing descriptors for photos 1372957484 and 1372957515 Missing descriptors for photos 1372957515 and 1372957538 Missing descriptors for photos 1372957538 and 1372957563 Missing descriptors for photos 1372957563 and 1372957569 Missing descriptors for photos 1372957569 and 1372959120 Missing descriptors for photos 1372959120 and 1372959127 Missing descriptors for photos 1372959127 and 1372959129 Missing descriptors for photos 1372959129 and 1372959157 Missing descriptors for photos 1372959157 and 1372959159 Missing descriptors for photos 1372959159 and 1372959170 Missing descriptors for photos 1372959170 and 1372959187 Missing descriptors for photos 1372959187 and 1372957217 Missing descriptors for photos 1372957217 and 1372957397 Missing descriptors for photos 1372957397 and 1372957216 Missing descriptors for photos 1372957216 and 1372957394 Missing descriptors for photos 1372957394 and 1372957215 Missing descriptors for photos 1372957215 and 1372957324 Missing descriptors for photos 1372957324 and 1372957392 Missing descriptors for photos 1372957392 and 1372957213 Missing descriptors for photos 1372957213 and 1372957260 Missing descriptors for photos 1372957260 and 1372957323 Missing descriptors for photos 1372957323 and 1372957337 Missing descriptors for photos 1372957337 and 1372957386 Missing descriptors for photos 1372957386 and 1372957390 Missing descriptors for photos 1372957390 and 1372957211 Missing descriptors for photos 1372957211 and 1372957257 Missing descriptors for photos 1372957257 and 1372957322 Missing descriptors for photos 1372957322 and 1372957335 Missing descriptors for photos 1372957335 and 1372957385 Missing descriptors for photos 1372957385 and 1372957388 Missing descriptors for photos 1372957388 and 1372957321 Missing descriptors for photos 1372957321 and 1372957334 Missing descriptors for photos 1372957334 and 1372957346 Missing descriptors for photos 1372957346 and 1372957383 Missing descriptors for photos 1372957383 and 1372957387 Missing descriptors for photos 1372957387 and 1372957427 Missing descriptors for photos 1372957427 and 1372957266 Missing descriptors for photos 1372957266 and 1372957265 Missing descriptors for photos 1372957265 and 1372957263 Missing descriptors for photos 1372957263 and 1372957261 Missing descriptors for photos 1372957261 and 1372957249 Missing descriptors for photos 1372957249 and 1372957259 Missing descriptors for photos 1372957259 and 1372957247 Missing descriptors for photos 1372957247 and 1372957256 Missing descriptors for photos 1372957256 and 1372974812 Missing descriptors for photos 1372974812 and 1372974960 Missing descriptors for photos 1372974960 and 1372974958 Missing descriptors for photos 1372974958 and 1372974955 Missing descriptors for photos 1372974955 and 1372974952 Missing descriptors for photos 1372974952 and 1372974942 Missing descriptors for photos 1372974942 and 1372974923 Missing descriptors for photos 1372974923 and 1372974917 Missing descriptors for photos 1372974917 and 1372974907 Missing descriptors for photos 1372974907 and 1372974905 Missing descriptors for photos 1372974905 and 1372974902 Missing descriptors for photos 1372974902 and 1372974898 Missing descriptors for photos 1372974898 and 1372975145 Missing descriptors for photos 1372975145 and 1372975143 Missing descriptors for photos 1372975143 and 1372975139 Missing descriptors for photos 1372975139 and 1372975189 Missing descriptors for photos 1372975189 and 1372975284 Missing descriptors for photos 1372975284 and 1372975388 Missing descriptors for photos 1372975388 and 1372975482 Missing descriptors for photos 1372975482 and 1372975192 Missing descriptors for photos 1372975192 and 1372975288 Missing descriptors for photos 1372975288 and 1372975384 Missing descriptors for photos 1372975384 and 1372975484 Missing descriptors for photos 1372975484 and 1372975547 8:13:18.998797|OFF:0:00:10.000099|ON:0:00:00|OFF:0:01:31.000260|ON:0:01:00.000005|OFF:0:06:58.999917|ON:Missing descriptors for photos 1372975560 and 1372975587 Missing descriptors for photos 1372975587 and 1372975593 Missing descriptors for photos 1372975593 and 1372975597 Missing descriptors for photos 1372975597 and 1372975600 Missing descriptors for photos 1372975600 and 1372975602 Missing descriptors for photos 1372975602 and 1372975698 Missing descriptors for photos 1372975698 and 1372975759 Missing descriptors for photos 1372975759 and 1372976267 Missing descriptors for photos 1372976267 and 1372975696 Missing descriptors for photos 1372975696 and 1372975754 Missing descriptors for photos 1372975754 and 1372976265 Missing descriptors for photos 1372976265 and 1372975654 Missing descriptors for photos 1372975654 and 1372975694 Missing descriptors for photos 1372975694 and 1372975750 Missing descriptors for photos 1372975750 and 1372976262 Missing descriptors for photos 1372976262 and 1372976281 Missing descriptors for photos 1372976281 and 1372975651 Missing descriptors for photos 1372975651 and 1372975691 Missing descriptors for photos 1372975691 and 1372975746 Missing descriptors for photos 1372975746 and 1372976260 Missing descriptors for photos 1372976260 and 1372976279 Missing descriptors for photos 1372976279 and 1372977083 Missing descriptors for photos 1372977083 and 1372980723 Missing descriptors for photos 1372980723 and 1372980916 Missing descriptors for photos 1372980916 and 1372980937 Missing descriptors for photos 1372980937 and 1372981027 Missing descriptors for photos 1372981027 and 1372981101 Missing descriptors for photos 1372981101 and 1372981275 Missing descriptors for photos 1372981275 and 1372981283 Missing descriptors for photos 1372981283 and 1372981342 Missing descriptors for photos 1372981342 and 1372981391 Missing descriptors for photos 1372981391 and 1372976993 0:41:00.000037|OFF:0:00:10.000133|ON:0:00:00|OFF:0:00:09.999557|ON:0:00:00|OFF:0:00:10.000189|ON:0:00:00|OFF:0:00:10.999863|ON:0:00:00|OFF:0:00:08.999210|ON:0:00:00|OFF:0:00:10.000932|ON:Missing descriptors for photos 1372981592 and 1372981589 Missing descriptors for photos 1372981589 and 1372981571 Missing descriptors for photos 1372981571 and 1372981941 Missing descriptors for photos 1372981941 and 1372981982 Missing descriptors for photos 1372981982 and 1372982143 Missing descriptors for photos 1372982143 and 1372982295 Missing descriptors for photos 1372982295 and 1372981942 Missing descriptors for photos 1372981942 and 1372981984 Missing descriptors for photos 1372981984 and 1372982298 Missing descriptors for photos 1372982298 and 1372981923 Missing descriptors for photos 1372981923 and 1372981987 Missing descriptors for photos 1372981987 and 1372982300 Missing descriptors for photos 1372982300 and 1372981919 Missing descriptors for photos 1372981919 and 1372981989 Missing descriptors for photos 1372981989 and 1372982304 Missing descriptors for photos 1372982304 and 1372981701 Missing descriptors for photos 1372981701 and 1372982308 Missing descriptors for photos 1372982308 and 1372982466 Missing descriptors for photos 1372982466 and 1372981700 Missing descriptors for photos 1372981700 and 1372981896 Missing descriptors for photos 1372981896 and 1372982311 Missing descriptors for photos 1372982311 and 1372982463 Missing descriptors for photos 1372982463 and 1372981698 Missing descriptors for photos 1372981698 and 1372981891 Missing descriptors for photos 1372981891 and 1372981963 Missing descriptors for photos 1372981963 and 1372982344 Missing descriptors for photos 1372982344 and 1372982369 Missing descriptors for photos 1372982369 and 1372982461 Missing descriptors for photos 1372982461 and 1372981696 Missing descriptors for photos 1372981696 and 1372981888 Missing descriptors for photos 1372981888 and 1372981959 Missing descriptors for photos 1372981959 and 1372982178 Missing descriptors for photos 1372982178 and 1372982244 Missing descriptors for photos 1372982244 and 1372982279 Missing descriptors for photos 1372982279 and 1372982341 Missing descriptors for photos 1372982341 and 1372982371 Missing descriptors for photos 1372982371 and 1372982458 Missing descriptors for photos 1372982458 and 1372982789 Missing descriptors for photos 1372982789 and 1372982837 Missing descriptors for photos 1372982837 and 1372982856 Missing descriptors for photos 1372982856 and 1372982882 Missing descriptors for photos 1372982882 and 1372982791 Missing descriptors for photos 1372982791 and 1372982816 Missing descriptors for photos 1372982816 and 1372982840 Missing descriptors for photos 1372982840 and 1372982780 Missing descriptors for photos 1372982780 and 1372982815 Missing descriptors for photos 1372982815 and 1372982777 Missing descriptors for photos 1372982777 and 1372982814 Missing descriptors for photos 1372982814 and 1372982682 Missing descriptors for photos 1372982682 and 1372982774 Missing descriptors for photos 1372982774 and 1372982812 Missing descriptors for photos 1372982812 and 1372982678 Missing descriptors for photos 1372982678 and 1372982771 Missing descriptors for photos 1372982771 and 1372982810 Missing descriptors for photos 1372982810 and 1372982675 Missing descriptors for photos 1372982675 and 1372982768 Missing descriptors for photos 1372982768 and 1372982807 Missing descriptors for photos 1372982807 and 1372984650 Missing descriptors for photos 1372984650 and 1372984893 Missing descriptors for photos 1372984893 and 1372984377 Missing descriptors for photos 1372984377 and 1372984621 Missing descriptors for photos 1372984621 and 1372984895 Missing descriptors for photos 1372984895 and 1372985029 Missing descriptors for photos 1372985029 and 1372985278 Missing descriptors for photos 1372985278 and 1372985329 Missing descriptors for photos 1372985329 and 1372985530 Missing descriptors for photos 1372985527 and 1372985525 Missing descriptors for photos 1372985525 and 1372985522 Missing descriptors for photos 1372985522 and 1372985581 Missing descriptors for photos 1372985581 and 1372985642 Missing descriptors for photos 1372985642 and 1372985636 Missing descriptors for photos 1372985636 and 1372985819 Missing descriptors for photos 1372985819 and 1372985851 Missing descriptors for photos 1372985851 and 1372985856 Missing descriptors for photos 1372985856 and 1372986965 Missing descriptors for photos 1372986965 and 1372986968 Missing descriptors for photos 1372986968 and 1372986996 Missing descriptors for photos 1372986996 and 1372993971 Missing descriptors for photos 1372993971 and 1372995265 Missing descriptors for photos 1372995265 and 1372993939 Missing descriptors for photos 1372993939 and 1372995269 Missing descriptors for photos 1372995269 and 1372993909 Missing descriptors for photos 1372993909 and 1372995270 Missing descriptors for photos 1372995270 and 1372993880 Missing descriptors for photos 1372993880 and 1372995273 Missing descriptors for photos 1372995273 and 1372993846 Missing descriptors for photos 1372993846 and 1372995741 Missing descriptors for photos 1372995741 and 1372995712 Missing descriptors for photos 1372995712 and 1372995683 Missing descriptors for photos 1372995683 and 1372995652 Missing descriptors for photos 1372995652 and 1372995623 Missing descriptors for photos 1372995623 and 1372994434 Missing descriptors for photos 1372994434 and 1372994376 Missing descriptors for photos 1372994376 and 1372994342 Missing descriptors for photos 1372994342 and 1372994311 Missing descriptors for photos 1372994311 and 1372994277 1:57:40.999842|OFF:0:00:10.000163|ON:0:00:00|OFF:0:00:08.998659|ON:0:00:00|OFF:0:00:10.001172|ON:0:00:00|OFF:0:00:10.000085|ON:0:00:00|OFF:0:00:10.000065|ON:0:00:00|OFF:0:00:09.999971|ON:Missing descriptors for photos 1372996814 and 1372996856 0:08:21.000184|OFF:0:00:09.999971|ON:0:00:00|OFF:0:00:09.999933|ON:0:00:00|OFF:0:00:10.000029|ON:Missing descriptors for photos 1372996827 and 1372996823 Missing descriptors for photos 1372996823 and 1372997014 0:02:48.999851|OFF:0:00:10.000003|ON:0:00:00|OFF:0:00:11.000104|ON:0:10:10.000145|OFF:0:00:09.999994|ON:Missing descriptors for photos 1372998303 and 1372998269 Missing descriptors for photos 1372998269 and 1372998231 Missing descriptors for photos 1372998231 and 1372998174 Missing descriptors for photos 1372998174 and 1372998139 Missing descriptors for photos 1372998139 and 1372998571 Missing descriptors for photos 1372998571 and 1372998596 Missing descriptors for photos 1372998596 and 1372998603 Missing descriptors for photos 1372998603 and 1372998629 Missing descriptors for photos 1372998629 and 1372998632 Missing descriptors for photos 1372998632 and 1372998634 Missing descriptors for photos 1372998634 and 1372998654 Missing descriptors for photos 1372998654 and 1372998656 Missing descriptors for photos 1372998656 and 1372998665 Missing descriptors for photos 1372998665 and 1373000362 Missing descriptors for photos 1373000870 and 1373000868 Missing descriptors for photos 1373000868 and 1373000867 Missing descriptors for photos 1373000867 and 1373000886 Missing descriptors for photos 1373000886 and 1373000900 Missing descriptors for photos 1373000900 and 1373002861 Missing descriptors for photos 1373002861 and 1373003487 Missing descriptors for photos 1373003487 and 1373003881 Missing descriptors for photos 1373003881 and 1373003446 Missing descriptors for photos 1373003446 and 1373003877 Missing descriptors for photos 1373003877 and 1373003953 Missing descriptors for photos 1373003953 and 1373003951 Missing descriptors for photos 1373004097 and 1373004114 Missing descriptors for photos 1373004114 and 1373004116 Missing descriptors for photos 1373004116 and 1373004124 Missing descriptors for photos 1373004124 and 1373004138 Missing descriptors for photos 1373004138 and 1373004140 Missing descriptors for photos 1373004140 and 1373004143 Missing descriptors for photos 1373004143 and 1373004173 Missing descriptors for photos 1373004173 and 1373004267 Missing descriptors for photos 1373004267 and 1373004321 Missing descriptors for photos 1373004321 and 1373004175 Missing descriptors for photos 1373004175 and 1373004270 Missing descriptors for photos 1373004270 and 1373004318 Missing descriptors for photos 1373004318 and 1373004178 Missing descriptors for photos 1373004178 and 1373004274 Missing descriptors for photos 1373004274 and 1373004300 Missing descriptors for photos 1373004300 and 1373004182 Missing descriptors for photos 1373004182 and 1373004278 Missing descriptors for photos 1373004278 and 1373004298 Missing descriptors for photos 1373004298 and 1373004186 Missing descriptors for photos 1373004186 and 1373004282 Missing descriptors for photos 1373004282 and 1373004295 0:46:29.999788|OFF:0:00:10.000149|ON:Missing descriptors for photos 1373004569 and 1373004567 Missing descriptors for photos 1373004567 and 1373004565 Missing descriptors for photos 1373004565 and 1373004562 Missing descriptors for photos 1373004562 and 1373004664 Missing descriptors for photos 1373004664 and 1373004748 Missing descriptors for photos 1373004748 and 1373004661 Missing descriptors for photos 1373004661 and 1373004749 Missing descriptors for photos 1373004749 and 1373004643 Missing descriptors for photos 1373004643 and 1373004744 0:13:28.999783|OFF:0:00:09.999968|ON:0:00:00|OFF:0:00:09.999916|ON:0:00:00|OFF:0:00:10.000104|ON:0:00:00|OFF:0:00:10.000167|ON:0:00:00|OFF:0:00:09.999942|ON:Missing descriptors for photos 1373004965 and 1373004966 Missing descriptors for photos 1373004966 and 1373005310 Missing descriptors for photos 1373005310 and 1373005761 Missing descriptors for photos 1373005761 and 1373007269 Missing descriptors for photos 1373007269 and 1373007205 Missing descriptors for photos 1373007205 and 1373007131 Missing descriptors for photos 1373007131 and 1373009752 Missing descriptors for photos 1373009752 and 1373010021 Missing descriptors for photos 1373010021 and 1373010044 Missing descriptors for photos 1373010044 and 1373010140 Missing descriptors for photos 1373010140 and 1373010349 Missing descriptors for photos 1373010349 and 1373010354 Missing descriptors for photos 1373010354 and 1373010356 Missing descriptors for photos 1373010356 and 1373010377 Missing descriptors for photos 1373010377 and 1373010372 Missing descriptors for photos 1373010372 and 1373010402 Missing descriptors for photos 1373010402 and 1373012063 Missing descriptors for photos 1373012063 and 1373012635 1:28:00.000034|OFF:0:00:10.000024|ON:0:00:00|OFF:0:00:09.999918|ON:Missing descriptors for photos 1373011792 and 1373011787 Missing descriptors for photos 1373011787 and 1373011228 Missing descriptors for photos 1373011228 and 1373011166 Missing descriptors for photos 1373011166 and 1373011138 Missing descriptors for photos 1373011138 and 1373011121 Missing descriptors for photos 1373011121 and 1373011087 Missing descriptors for photos 1373011087 and 1373011061 Missing descriptors for photos 1373011061 and 1373012967 Missing descriptors for photos 1373012967 and 1373012961 Missing descriptors for photos 1373012961 and 1373013090 Missing descriptors for photos 1373013090 and 1373013086 Missing descriptors for photos 1373013086 and 1373013083 Missing descriptors for photos 1373013083 and 1373013174 Missing descriptors for photos 1373013174 and 1373013171 Missing descriptors for photos 1373013171 and 1373013216 Missing descriptors for photos 1373013216 and 1373013297 Missing descriptors for photos 1373013297 and 1373013212 Missing descriptors for photos 1373013212 and 1373013294 Missing descriptors for photos 1373013294 and 1373013290 Missing descriptors for photos 1373013290 and 1373013574 Missing descriptors for photos 1373013574 and 1373013963 0:23:39.999978|OFF:0:00:09.999999|ON:0:00:00|OFF:0:00:10.000002|ON:0:00:00|OFF:0:00:09.999943|ON:0:00:00|OFF:0:00:10.000026|ON:Missing descriptors for photos 1373014071 and 1373014067 Missing descriptors for photos 1373014067 and 1373014050 Missing descriptors for photos 1373014050 and 1373014040 Missing descriptors for photos 1373014040 and 1373014034 Missing descriptors for photos 1373014034 and 1373014032 Missing descriptors for photos 1373014032 and 1373014030 Missing descriptors for photos 1373014030 and 1373014027 Missing descriptors for photos 1373014027 and 1373014013 Missing descriptors for photos 1373014013 and 1373014011 Missing descriptors for photos 1373014011 and 1373014009 Missing descriptors for photos 1373014009 and 1373013658 Missing descriptors for photos 1373013658 and 1373013655 Missing descriptors for photos 1373013655 and 1373013654 Missing descriptors for photos 1373013654 and 1373013652 Missing descriptors for photos 1373013652 and 1373013648 Missing descriptors for photos 1373013648 and 1373013646 Missing descriptors for photos 1373014354 and 1373014357 Missing descriptors for photos 1373014357 and 1373014359 Missing descriptors for photos 1373014359 and 1373014361 Missing descriptors for photos 1373014361 and 1373014388 Missing descriptors for photos 1373014388 and 1373014392 Missing descriptors for photos 1373014392 and 1373014394 Missing descriptors for photos 1373014394 and 1373014396 21072025 Removing 52 photos because of the 'same image' condition Total on : 50758.99844399999 list_time_on Total off : 820.000467 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1580 time used for this insertion : 0.2319643497467041 photos_removed : len 52 elapsed_time : remove_photo_duplicate 0.3658792972564697 Creating list_photo_total XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXtime_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average elapsed_time : count_sum_diff_and_build_graph 0.03735160827636719 Total photos : 1580 .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 .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 .Change port : 0 hashtag : 2107760237 photo_id =1372975196 : film_pedb .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 .Change port : 9 hashtag : 560181804 photo_id =1372975569 : pcm ...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 .Change port : 3 hashtag : 2107755846 photo_id =1372980726 : pet_clair .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 .Change port : 7 hashtag : 493546845 photo_id =1372985528 : aluminium .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 .Change port : 1 hashtag : 495916461 photo_id =1372994242 : jrm ...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 .Change port : 8 hashtag : 492741797 photo_id =1372996817 : ela .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 .Change port : 5 hashtag : 2107760239 photo_id =1372997016 : pehd_pp ...can't find max_score_info ..can't find max_score_info .......Change port : 10 hashtag : 2107755846 photo_id =1372997634 : pet_clair .........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 .Change port : 10 hashtag : 2107760237 photo_id =1373000361 : film_pedb ........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 .Change port : 8 hashtag : 560181804 photo_id =1373003948 : pcm .Change port : 1 hashtag : 616987804 photo_id =1373003945 : emr .............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 .Change port : 13 hashtag : 2107755846 photo_id =1373004189 : pet_clair .can't find max_score_info ....Change port : 4 hashtag : 2107760239 photo_id =1373004570 : pehd_pp .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 .Change port : 1 hashtag : 495916461 photo_id =1373004637 : jrm .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 .Change port : 6 hashtag : 616987804 photo_id =1373011886 : emr .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 .Change port : 4 hashtag : 1284539308 photo_id =1373013571 : pcnc .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 .Change port : 5 hashtag : 2107760238 photo_id =1373013821 : flux_dev ..........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 : 1580 Number of lists : 18 counter photos in port : 105 hashtag : aluminium(493546845) : 1 photos in 1 portfolios ! hashtag : ela(492741797) : 5 photos in 1 portfolios ! hashtag : emr(616987804) : 17 photos in 2 portfolios ! hashtag : film_pedb(2107760237) : 17 photos in 2 portfolios ! hashtag : flux_dev(2107760238) : 10 photos in 1 portfolios ! hashtag : jrm(495916461) : 14 photos in 2 portfolios ! hashtag : pcm(560181804) : 4 photos in 2 portfolios ! hashtag : pcnc(1284539308) : 5 photos in 1 portfolios ! hashtag : pehd_pp(2107760239) : 11 photos in 2 portfolios ! hashtag : pet_clair(2107755846) : 21 photos in 3 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.05074620246887207 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 3.0994415283203125e-06 today str has not a value , we define it as the date of the first image todaystr_first : 21072025 attention , prev_timestamp is 0 , we do nothing ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*oooooooooooooooooooooooooooooooo*oooooooooooooooooooooooooooooooooooooo*ooooooooooooooooooooo*ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*ooooooooooooooooooooooooooooooooooooo*oooooooooooooooooooooooo*ooooooooooooooo*o*oo*oooooooooooo*oooooooooooooooooooo*oo*ooooo****oooooo*o*ooooooo**oo**oo*ooooooooooooooooooooooo*oooooooooooooooooooooooooo*o*ooooooooo*o*oo**oooooooooooooooooooooooooo*oooo**oooooo*o*ooooooooo**oo*ooooooo*oooooo*ooooooooo*oooooooooooooooooooooooooooooo*oooooo*oooooooooooooooooooo*oooooooooooooooooooooooooooooooo*oooooo**ooo*ooooooooooooooooooooo*ooooooooooooooooo*oooooooooooo*oooo*oo*ooooo*o*ooooooooooo**o***ooooooooooooooooooooooooooooooooooooooo*o*ooooooooooooooooooooooooooooooooooooooooooooo*oooooo*ooooooooooooooooooooooooooooooooooooooooooooooooooooooo*o*oo***ooo*ooooooooooo*o* BIG TIME 418.9999170303345 (161.0002520084381, 3, 0, 0, 0, 0.90267974, 0, 0, 0, 0, 0, 0, 0, 0, 2.975999916100502, 0.1178, 0.0, 1.9, 0.1610003640651703, -0.2516671085357666) on 9 1372975569 2025-07-21 08:23:14.010261 id_data : 1179 oo*oooooooooo* BIG TIME 1040.0009059906006 (181.00142884254456, 6, 0, 0, 0, 0, 0, 0, 0.32476896, 0, 0, 0, 0, 0, 3.0198999018907546, 0.1182, 0.0, 1.9, 0.009999933004379272, -0.0) on 11 1372980723 2025-07-21 08:44:15.010044 id_data : 1205 oooooooo** BIG TIME 1159.000263929367 (181.00142884254456, 6, 0, 0, 0, 0, 0, 0, 0.32476896, 0, 0, 0, 0, 0, 3.0198999018907546, 0.1182, 0.0, 1.9, 0.009999933004379272, -0.0) on 11 1372980726 2025-07-21 09:04:14.010298 id_data : 1215 ooooooooooooooooooo* BIG TIME 1020.0001690387726 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372981592 2025-07-21 09:22:14.010351 id_data : 1241 ooooooooooo*ooooooooooooooooooo* BIG TIME 1280.0011239051819 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372982791 2025-07-21 09:47:14.010208 id_data : 1283 ooooooooooo* BIG TIME 580.0012040138245 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372984377 2025-07-21 09:58:14.010223 id_data : 1301 oo** BIG TIME 500.001277923584 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372985278 2025-07-21 10:07:14.010372 id_data : 1305 * BIG TIME 310.9998891353607 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372985329 2025-07-21 10:12:25.010261 id_data : 1306 * BIG TIME 188.99997997283936 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372985530 2025-07-21 10:15:34.010241 id_data : 1307 * BIG TIME 338.9998700618744 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372985528 2025-07-21 10:21:13.010111 id_data : 1308 *** BIG TIME 200.001070022583 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372985851 2025-07-21 10:28:14.010148 id_data : 1316 ** BIG TIME 680.0001060962677 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372986968 2025-07-21 10:40:14.010199 id_data : 1319 o* BIG TIME 1160.0010240077972 (241.0003137588501, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8397227, 0, 0, 3.2698998998880384, 0.1241, 0.0, 1.9, 0.05999988389015197, -0.0833329180876414) on 17 1372993939 2025-07-21 11:00:14.010072 id_data : 1323 oooooooooo* BIG TIME 501.00018405914307 (320.00129675865173, 5, 0, 0, 0, 0, 0, 0.9393656, 0, 0, 0, 0, 0, 0, 3.980899898505211, 0.1353, 0.0, 2.9, 0.07900011610984803, -0.11499972343444824) on 25 1372996817 2025-07-21 11:12:15.010323 id_data : 1356 ooo*oo* BIG TIME 388.99990701675415 (559.0002198219299, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.7696293, 0, 0, 0, 4.05899990170002, 0.1379, 0.0, 1.9, 0.20000022697448733, -0.15166669329007468) on 39 1372997634 2025-07-21 11:23:14.010107 id_data : 1379 ** BIG TIME 289.00007915496826 (728.9991335868835, 6, 0, 0, 0, 0, 0, 0, 0.25156656, 0, 0, 0, 0, 0, 4.1159999170064925, 0.139, 0.001100134015083313, 1.9, 0.009999994039535522, -0.0) on 48 1372998269 2025-07-21 11:31:14.010055 id_data : 1391 * BIG TIME 829.0001640319824 (728.9991335868835, 6, 0, 0, 0, 0, 0, 0, 0.25156656, 0, 0, 0, 0, 0, 4.1159999170064925, 0.139, 0.001100134015083313, 1.9, 0.009999994039535522, -0.0) on 48 1373000361 2025-07-21 11:47:14.010222 id_data : 1405 * BIG TIME 290.00004601478577 (798.99919962883, 3, 0, 0, 0, 0.7695302, 0, 0, 0, 0, 0, 0, 0, 0, 4.248899887704849, 0.1413, 0.001100134015083313, 0.9, 0.0699998381137848, -0.0999995517730713) on 55 1373000870 2025-07-21 11:53:14.010106 id_data : 1413 *** BIG TIME 310.0011360645294 (798.99919962883, 3, 0, 0, 0, 0.7695302, 0, 0, 0, 0, 0, 0, 0, 0, 4.248899887704849, 0.1413, 0.001100134015083313, 0.9, 0.0699998381137848, -0.0999995517730713) on 55 1373003487 2025-07-21 12:00:34.010142 id_data : 1419 ** BIG TIME 280.0002341270447 (798.99919962883, 3, 0, 0, 0, 0.7695302, 0, 0, 0, 0, 0, 0, 0, 0, 4.248899887704849, 0.1413, 0.001100134015083313, 0.9, 0.0699998381137848, -0.0999995517730713) on 55 1373003877 2025-07-21 12:06:05.010425 id_data : 1422 *ooooooooooo* BIG TIME 479.9999928474426 (977.9974925518036, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.32280686, 0, 0, 4.397899903202057, 0.1466, 0.001100134015083313, 1.9, 0.039000195026397705, -0.04833345691363017) on 73 1373004570 2025-07-21 12:21:14.010208 id_data : 1466 * BIG TIME 241.00098514556885 (977.9974925518036, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.32280686, 0, 0, 4.397899903202057, 0.1466, 0.001100134015083313, 1.9, 0.039000195026397705, -0.04833345691363017) on 73 1373004569 2025-07-21 12:25:15.011193 id_data : 1467 ooooooooo* BIG TIME 660.0000050067902 (1037.99888753891, 5, 0, 0, 0, 0, 0, 0.8101209, 0, 0, 0, 0, 0, 0, 4.4818998986959455, 0.1489, 0.001100134015083313, 2.9, 0.06000020289421081, -0.08333349506060282) on 79 1373004965 2025-07-21 12:38:14.010175 id_data : 1489 *o* BIG TIME 800.0010848045349 (1037.99888753891, 5, 0, 0, 0, 0, 0, 0.8101209, 0, 0, 0, 0, 0, 0, 4.4818998986959455, 0.1489, 0.001100134015083313, 2.9, 0.06000020289421081, -0.08333349506060282) on 79 1373007269 2025-07-21 12:52:14.010120 id_data : 1493 * BIG TIME 361.00009202957153 (1037.99888753891, 5, 0, 0, 0, 0, 0, 0.8101209, 0, 0, 0, 0, 0, 0, 4.4818998986959455, 0.1489, 0.001100134015083313, 2.9, 0.06000020289421081, -0.08333349506060282) on 79 1373007205 2025-07-21 12:58:15.010212 id_data : 1494 ** BIG TIME 1940.001140832901 (1037.99888753891, 5, 0, 0, 0, 0, 0, 0.8101209, 0, 0, 0, 0, 0, 0, 4.4818998986959455, 0.1489, 0.001100134015083313, 2.9, 0.06000020289421081, -0.08333349506060282) on 79 1373010021 2025-07-21 13:31:14.010167 id_data : 1497 * BIG TIME 479.9999330043793 (1037.99888753891, 5, 0, 0, 0, 0, 0, 0.8101209, 0, 0, 0, 0, 0, 0, 4.4818998986959455, 0.1489, 0.001100134015083313, 2.9, 0.06000020289421081, -0.08333349506060282) on 79 1373010044 2025-07-21 13:39:14.010100 id_data : 1498 o** BIG TIME 350.00018405914307 (1037.99888753891, 5, 0, 0, 0, 0, 0, 0.8101209, 0, 0, 0, 0, 0, 0, 4.4818998986959455, 0.1489, 0.001100134015083313, 2.9, 0.06000020289421081, -0.08333349506060282) on 79 1373010354 2025-07-21 13:46:04.010291 id_data : 1501 *o* BIG TIME 369.00019001960754 (1037.99888753891, 5, 0, 0, 0, 0, 0, 0.8101209, 0, 0, 0, 0, 0, 0, 4.4818998986959455, 0.1489, 0.001100134015083313, 2.9, 0.06000020289421081, -0.08333349506060282) on 79 1373011886 2025-07-21 13:55:14.010204 id_data : 1508 oo* BIG TIME 420.00002098083496 (1067.998771429062, 2, 0, 0, 0.5058237, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5.012899897098541, 0.1514, 0.001100134015083313, 1.9, 0.02999994993209839, -0.0333332101504008) on 82 1373012961 2025-07-21 14:04:14.010027 id_data : 1523 ****o*o**o* BIG TIME 488.9996728897095 (1067.998771429062, 2, 0, 0, 0.5058237, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5.012899897098541, 0.1514, 0.001100134015083313, 1.9, 0.02999994993209839, -0.0333332101504008) on 82 1373013571 2025-07-21 14:19:14.010124 id_data : 1536 oooo* BIG TIME 591.0017018318176 (1207.9989614486694, 4, 0, 0, 0, 0, 0.6476337, 0, 0, 0, 0, 0, 0, 0, 5.184899827003479, 0.1572, 0.001100134015083313, 1.9, 0.02000019097328186, -0.016665500005086265) on 96 1373014354 2025-07-21 14:34:15.011155 id_data : 1572 Count Time bigger than 30s : 128 #Number Photos for regression : {'21072025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 19.999962091445923, 2107751015: 18.99867081642151, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 61.00168466567993, 2107751015: 40.00094270706177, 2107751016: 9.99980092048645, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 19.999832153320312, 2107751015: 68.99902701377869, 2107751016: 142.00134301185608, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 20.000903844833374, 2107751015: 60.99957513809204, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 40.000178813934326, 2107751015: 38.99899911880493, 2107751016: 78.99989008903503, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 30.00042700767517, 2107751015: 31.000219106674194, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 18.998584270477295, 2107751015: 30.00002694129944, 2107751016: 9.999943017959595, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 41.00013613700867, 2107751015: 177.9991238117218, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 258.99899077415466, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 9246.988047361374, 2107751016: 0, 2107751017: 0}}} 21072025|aluminium, 05102018_papier_non_papier_dense:0 21072025|aluminium, 05102018_papier_non_papier_peu_dense:0 21072025|aluminium, 05102018_papier_non_papier_presque_vide:0 21072025|aluminium, 05102018_papier_non_papier_tres_dense:0 21072025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 21072025|ela, 05102018_papier_non_papier_dense:0 21072025|ela, 05102018_papier_non_papier_peu_dense:19.999962091445923 21072025|ela, 05102018_papier_non_papier_presque_vide:18.99867081642151 21072025|ela, 05102018_papier_non_papier_tres_dense:0 21072025|ela, 05102018_papier_non_papier_tres_peu_dense:0 21072025|emr, 05102018_papier_non_papier_dense:0 21072025|emr, 05102018_papier_non_papier_peu_dense:61.00168466567993 21072025|emr, 05102018_papier_non_papier_presque_vide:40.00094270706177 21072025|emr, 05102018_papier_non_papier_tres_dense:9.99980092048645 21072025|emr, 05102018_papier_non_papier_tres_peu_dense:0 21072025|film_pedb, 05102018_papier_non_papier_dense:0 21072025|film_pedb, 05102018_papier_non_papier_peu_dense:19.999832153320312 21072025|film_pedb, 05102018_papier_non_papier_presque_vide:68.99902701377869 21072025|film_pedb, 05102018_papier_non_papier_tres_dense:142.00134301185608 21072025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 21072025|flux_dev, 05102018_papier_non_papier_dense:0 21072025|flux_dev, 05102018_papier_non_papier_peu_dense:20.000903844833374 21072025|flux_dev, 05102018_papier_non_papier_presque_vide:60.99957513809204 21072025|flux_dev, 05102018_papier_non_papier_tres_dense:0 21072025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 21072025|jrm, 05102018_papier_non_papier_dense:0 21072025|jrm, 05102018_papier_non_papier_peu_dense:40.000178813934326 21072025|jrm, 05102018_papier_non_papier_presque_vide:38.99899911880493 21072025|jrm, 05102018_papier_non_papier_tres_dense:78.99989008903503 21072025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 21072025|pcm, 05102018_papier_non_papier_dense:0 21072025|pcm, 05102018_papier_non_papier_peu_dense:30.00042700767517 21072025|pcm, 05102018_papier_non_papier_presque_vide:31.000219106674194 21072025|pcm, 05102018_papier_non_papier_tres_dense:0 21072025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 21072025|pcnc, 05102018_papier_non_papier_dense:0 21072025|pcnc, 05102018_papier_non_papier_peu_dense:18.998584270477295 21072025|pcnc, 05102018_papier_non_papier_presque_vide:30.00002694129944 21072025|pcnc, 05102018_papier_non_papier_tres_dense:9.999943017959595 21072025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 21072025|pehd_pp, 05102018_papier_non_papier_dense:0 21072025|pehd_pp, 05102018_papier_non_papier_peu_dense:41.00013613700867 21072025|pehd_pp, 05102018_papier_non_papier_presque_vide:177.9991238117218 21072025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 21072025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 21072025|pet_clair, 05102018_papier_non_papier_dense:0 21072025|pet_clair, 05102018_papier_non_papier_peu_dense:0 21072025|pet_clair, 05102018_papier_non_papier_presque_vide:258.99899077415466 21072025|pet_clair, 05102018_papier_non_papier_tres_dense:0 21072025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 21072025|refus, 05102018_papier_non_papier_dense:0 21072025|refus, 05102018_papier_non_papier_peu_dense:0 21072025|refus, 05102018_papier_non_papier_presque_vide:0 21072025|refus, 05102018_papier_non_papier_tres_dense:0 21072025|refus, 05102018_papier_non_papier_tres_peu_dense:0 21072025|tapis_vide, 05102018_papier_non_papier_dense:0 21072025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 21072025|tapis_vide, 05102018_papier_non_papier_presque_vide:9246.988047361374 21072025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 21072025|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 ! 21072025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 4 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_ela_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140826 with name like 21072025_ela_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_ela_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140828 with name like 21072025_ela_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : emr 11 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_emr_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140840 with name like 21072025_emr_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_emr_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140843 with name like 21072025_emr_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_emr_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140856 with name like 21072025_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 15 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_film_pedb_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140857 with name like 21072025_film_pedb_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_film_pedb_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140858 with name like 21072025_film_pedb_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_film_pedb_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140859 with name like 21072025_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 8 Number amount portfolio for this type of dechet : jrm 16 Number amount portfolio for this type of dechet : pcm 6 Number amount portfolio for this type of dechet : pcnc 6 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_pcnc_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140860 with name like 21072025_pcnc_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_pcnc_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140861 with name like 21072025_pcnc_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_pcnc_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140862 with name like 21072025_pcnc_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pehd_pp 12 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_pehd_pp_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140863 with name like 21072025_pehd_pp_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_pehd_pp_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140864 with name like 21072025_pehd_pp_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pet_clair 18 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_pet_clair_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140865 with name like 21072025_pet_clair_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 1393 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=21072025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25140866 with name like 21072025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 18 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 : ['pcnc', 'gm', 'emr', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev_rigide', 'aluminium', 'tapis_vide', 'refus', 'gros_cartons', 'gm', 'flux_dev_rigide', 'gros_cartons'] We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_film_pedb:{'day': '21072025', 'map_nb_amount': {0: 1, 1: 5, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 10.000066041946411, 1: 49.00125479698181, 2: 112.00010013580322, 3: 0, 4: 0}, 'duration': 161.0003640651703, 'nb_balles_papier': 0.17100142097473145, 'begin_time_port': 'image_21072025_08_13_34_009980m0.jpg 0.010001056909561157 for time 10.001056909561157, id_amount 2 this amount prod time diff : 0.010001056909561157'} Production hashtag (incorrect ponderation at 20-10-18) : 0.17100142097473145 hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_gm:{'day': '21072025', 'map_nb_amount': {0: 1, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 10.00000786781311, 1: 9.999933004379272, 2: 0, 3: 0, 4: 0}, 'duration': 19.999940872192383, 'nb_balles_papier': 0.020999940872192382, 'begin_time_port': 'image_21072025_08_23_14_010261m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.020999940872192382 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '21072025', 'map_nb_amount': {0: 0, 1: 7, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 59.99988389015198, 2: 0, 3: 0, 4: 0}, 'duration': 59.99988389015198, 'nb_balles_papier': 0.06099988389015197, 'begin_time_port': 'image_21072025_09_04_14_010298m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.06099988389015197 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! result_one_balle_Type_jrm:{'day': '21072025', 'map_nb_amount': {0: 2, 1: 1, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 20.0000958442688, 1: 10.000282049179077, 2: 48.99973821640015, 3: 0, 4: 0}, 'duration': 68.99983406066895, 'nb_balles_papier': 0.07900011610984803, 'begin_time_port': 'image_21072025_11_02_35_010334m0.jpg 0.010000282049179077 for time 10.000282049179077, id_amount 2 this amount prod time diff : 0.010000282049179077'} Production hashtag (incorrect ponderation at 20-10-18) : 0.07900011610984803 hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_ela:{'day': '21072025', 'map_nb_amount': {0: 3, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 19.999962091445923, 1: 18.99867081642151, 2: 0, 3: 0, 4: 0}, 'duration': 38.99863290786743, 'nb_balles_papier': 0.03999863290786743, 'begin_time_port': 'image_21072025_11_12_15_010323m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.03999863290786743 We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '21072025', 'map_nb_amount': {0: 4, 1: 6, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 41.00013613700867, 1: 159.00009083747864, 2: 0, 3: 0, 4: 0}, 'duration': 91.0000159740448, 'nb_balles_papier': 0.20000022697448733, 'begin_time_port': 'image_21072025_11_15_14_010184m0.jpg 0.1090002110004425 for time 109.0002110004425, id_amount 2 this amount prod time diff : 0.1090002110004425'} Production hashtag (incorrect ponderation at 20-10-18) : 0.20000022697448733 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '21072025', 'map_nb_amount': {0: 0, 1: 10, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 169.9989058971405, 2: 0, 3: 0, 4: 0}, 'duration': 181.00024604797363, 'nb_balles_papier': 0.1709989058971405, 'begin_time_port': 'image_21072025_11_23_14_010107m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1709989058971405 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_film_pedb:{'day': '21072025', 'map_nb_amount': {0: 1, 1: 4, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 9.999766111373901, 1: 29.998829126358032, 2: 30.001242876052856, 3: 0, 4: 0}, 'duration': 69.99983811378479, 'nb_balles_papier': 0.0709998381137848, 'begin_time_port': 'image_21072025_11_47_14_010222m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0709998381137848 hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '21072025', 'map_nb_amount': {0: 8, 1: 4, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 80.00074625015259, 1: 41.00122666358948, 2: 9.99980092048645, 3: 0, 4: 0}, 'duration': 121.00059986114502, 'nb_balles_papier': 0.1310017738342285, 'begin_time_port': 'image_21072025_12_08_34_010034m0.jpg 0.010001173973083496 for time 10.001173973083496, id_amount 2 this amount prod time diff : 0.010001173973083496'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1310017738342285 We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '21072025', 'map_nb_amount': {0: 0, 1: 4, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 39.000195026397705, 2: 0, 3: 0, 4: 0}, 'duration': 29.0000741481781, 'nb_balles_papier': 0.039000195026397705, 'begin_time_port': 'image_21072025_12_12_45_010141m0.jpg 0.010000120878219604 for time 10.000120878219604, id_amount 2 this amount prod time diff : 0.010000120878219604'} Production hashtag (incorrect ponderation at 20-10-18) : 0.039000195026397705 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! result_one_balle_Type_jrm:{'day': '21072025', 'map_nb_amount': {0: 2, 1: 1, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 20.000082969665527, 1: 9.9999680519104, 2: 30.000151872634888, 3: 0, 4: 0}, 'duration': 50.000097036361694, 'nb_balles_papier': 0.06000020289421081, 'begin_time_port': 'image_21072025_12_26_24_010073m0.jpg 0.010000105857849122 for time 10.000105857849121, id_amount 3 this amount prod time diff : 0.010000105857849122'} Production hashtag (incorrect ponderation at 20-10-18) : 0.06000020289421081 hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '21072025', 'map_nb_amount': {0: 3, 1: 1, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 19.9999418258667, 1: 10.00000810623169, 2: 0, 3: 0, 4: 0}, 'duration': 29.99994993209839, 'nb_balles_papier': 0.03099994993209839, 'begin_time_port': 'image_21072025_13_55_14_010204m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.03099994993209839 We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_gros_cartons:{'day': '21072025', 'map_nb_amount': {0: 0, 1: 4, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 30.00002694129944, 2: 9.999943017959595, 3: 0, 4: 0}, 'duration': 39.99996995925903, 'nb_balles_papier': 0.04099996995925904, 'begin_time_port': 'image_21072025_14_19_14_010124m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.04099996995925904 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_flux_dev_rigide:{'day': '21072025', 'map_nb_amount': {0: 2, 1: 8, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 20.000903844833374, 1: 79.9986081123352, 2: 0, 3: 0, 4: 0}, 'duration': 89.99949812889099, 'nb_balles_papier': 0.0999995119571686, 'begin_time_port': 'image_21072025_14_22_54_009955m0.jpg 0.010000013828277587 for time 10.000013828277588, id_amount 2 this amount prod time diff : 0.010000013828277587'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0999995119571686 We filter photos on hashtag condition ! We have rejected 3 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 14 list_same_port_ids : [25124313] find same portfolio which already exist 25124313 , we will use it list_same_port_ids : [25124315] find same portfolio which already exist 25124315 , we will use it list_same_port_ids : [25125532] find same portfolio which already exist 25125532 , we will use it type_dechet jrm not in list to create port, so we just list it with its name (VR TODO 3-6-19 : we need to change this) list_same_port_ids : [25129889] find same portfolio which already exist 25129889 , we will use it list_same_port_ids : [25130280] find same portfolio which already exist 25130280 , we will use it list_same_port_ids : [25130283] find same portfolio which already exist 25130283 , we will use it list_same_port_ids : [25131450] find same portfolio which already exist 25131450 , we will use it list_same_port_ids : [25133029] find same portfolio which already exist 25133029 , we will use it list_same_port_ids : [25133030] find same portfolio which already exist 25133030 , we will use it type_dechet jrm not in list to create port, so we just list it with its name (VR TODO 3-6-19 : we need to change this) list_same_port_ids : [25135267] find same portfolio which already exist 25135267 , we will use it list_same_port_ids : [25137076] find same portfolio which already exist 25137076 , we will use it list_same_port_ids : [25137077] find same portfolio which already exist 25137077 , we will use it Qualite : 0.11328938005258897 # 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 ! 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 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 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`=25124313 AND mptpi.`type`=4461 To do Qualite : 0.04476485157506827 # 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 ! 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 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 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`=25124315 AND mptpi.`type`=4209 To do Qualite : 0.03564965907583419 # 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 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 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 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 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`=25125532 AND mptpi.`type`=3327 To do Qualite : 0.13898873723732702 # 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 ! 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 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 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`=25129889 AND mptpi.`type`=4203 To do Qualite : 0.058431440177866494 # 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 ! 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 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 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`=25130280 AND mptpi.`type`=4211 To do Qualite : 0.0793516713967497 # 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 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 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 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 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`=25130283 AND mptpi.`type`=3327 To do Qualite : 0.15448200720899954 # 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 ! 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 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 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`=25131450 AND mptpi.`type`=4461 To do Qualite : 0.07423851128988727 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=25133029 AND mptpi.`type`=4207 To do Qualite : 0.06221625470992866 # 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 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 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 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 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`=25133030 AND mptpi.`type`=3327 To do Qualite : 0.060043945312499986 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=25135267 AND mptpi.`type`=4207 To do Qualite : 0.043649787808641975 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=25137076 AND mptpi.`type`=4207 To do Qualite : 0.2557169453372708 # 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 13185 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 13193 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13194 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13189 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 13189 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 13191 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13192 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 13186 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13186 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 13197 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13197 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 13188 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13187 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 13187 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13196 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13188 doesn't seem to be define in the database( WARNING : type of input 3 of step 13187 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 13185 doesn't seem to be define in the database( WARNING : type of input 2 of step 13189 doesn't seem to be define in the database( WARNING : output 0 of step 13185 have datatype=16 whereas input 0 of step 13192 have datatype=1 WARNING : output 1 of step 13185 have datatype=2 whereas input 1 of step 13192 have datatype=7 WARNING : output 0 of step 13191 have datatype=6 whereas input 2 of step 13192 have datatype=5 WARNING : type of output 2 of step 13192 doesn't seem to be define in the database( WARNING : type of input 1 of step 13186 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13188 have datatype=10 whereas input 3 of step 13195 have datatype=6 WARNING : type of input 2 of step 13197 doesn't seem to be define in the database( WARNING : output 1 of step 13186 have datatype=7 whereas input 2 of step 13197 have datatype=None WARNING : type of output 3 of step 13197 doesn't seem to be define in the database( WARNING : type of input 1 of step 13188 doesn't seem to be define in the database( WARNING : output 0 of step 13188 have datatype=10 whereas input 0 of step 13198 have datatype=18 WARNING : type of input 5 of step 13195 doesn't seem to be define in the database( WARNING : output 0 of step 13198 have datatype=11 whereas input 5 of step 13195 have datatype=None WARNING : type of output 1 of step 13193 doesn't seem to be define in the database( WARNING : type of input 3 of step 13189 doesn't seem to be define in the database( WARNING : type of output 1 of step 13194 doesn't seem to be define in the database( WARNING : type of input 3 of step 13189 doesn't seem to be define in the database( WARNING : output 0 of step 13192 have datatype=1 whereas input 0 of step 13186 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`=25137077 AND mptpi.`type`=4200 To do elapsed_time : count_nb_balles_and_create_portfolio 67.25301027297974 # DISPLAY ALL COLLECTED DATA : {'21072025': {'nb_upload': 1580, 'nb_taggue_class': 1580, 'nb_taggue_densite': 1580, 'nb_descriptors': 157, 'number_port': 18, 'count_photo_in_port': 105, 'nb_port_per_class': {'aluminium': {'nb_photos': 1, 'nb_portfolios': 1}, 'ela': {'nb_photos': 5, 'nb_portfolios': 1}, 'emr': {'nb_photos': 17, 'nb_portfolios': 2}, 'film_pedb': {'nb_photos': 17, 'nb_portfolios': 2}, 'flux_dev': {'nb_photos': 10, 'nb_portfolios': 1}, 'jrm': {'nb_photos': 14, 'nb_portfolios': 2}, 'pcm': {'nb_photos': 4, 'nb_portfolios': 2}, 'pcnc': {'nb_photos': 5, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 11, 'nb_portfolios': 2}, 'pet_clair': {'nb_photos': 21, 'nb_portfolios': 3}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1373014396, 1373014394, 1373014392, 1373014388, 1373014361, 1373014359, 1373014357, 1373014354, 1373014353, 1373014071, 1373014067, 1373014050, 1373014040, 1373014034, 1373014032, 1373014030, 1373014027, 1373014013, 1373014011, 1373014009, 1373014007, 1373014005, 1373013998, 1373013973, 1373013971, 1373013968, 1373013967, 1373013966, 1373013963, 1373013821, 1373013818, 1373013801, 1373013793, 1373013789, 1373013773, 1373013658, 1373013655, 1373013654, 1373013652, 1373013648, 1373013646, 1373013574, 1373013571, 1373013568, 1373013565, 1373013561, 1373013297, 1373013294, 1373013290, 1373013216, 1373013212, 1373013174, 1373013171, 1373013090, 1373013086, 1373013083, 1373012967, 1373012961, 1373012697, 1373012665, 1373012635, 1373012063, 1373011886, 1373011850, 1373011809, 1373011795, 1373011792, 1373011787, 1373011228, 1373011166, 1373011138, 1373011121, 1373011087, 1373011061, 1373010402, 1373010377, 1373010372, 1373010356, 1373010354, 1373010349, 1373010140, 1373010044, 1373010021, 1373009752, 1373007269, 1373007205, 1373007131, 1373005761, 1373005310, 1373004966, 1373004965, 1373004964, 1373004776, 1373004772, 1373004768, 1373004749, 1373004748, 1373004744, 1373004742, 1373004735] Looping around the photos to save general results len do output : 1 /25116162Didn'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 ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014396', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014394', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014392', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014388', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014361', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014359', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014357', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014354', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014353', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014071', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014067', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014050', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014040', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014034', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014032', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014030', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014027', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014013', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014011', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014009', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014007', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373014005', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013998', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013973', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013971', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013968', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013967', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013966', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013963', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013821', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013818', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013801', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013793', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013789', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013773', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013658', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013655', None, None, None, None, None, '3315026') ('4323', None, None, 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'3315026') ('4323', '25116162', '1373013565', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013561', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013297', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013294', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013290', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013216', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373013212', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', 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'25116162', '1373010140', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373010044', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373010021', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373009752', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373007269', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373007205', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373007131', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373005761', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373005310', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004966', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004965', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004964', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004776', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004772', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004768', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004749', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004748', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004744', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004742', None, None, None, None, None, '3315026') ('4323', None, None, None, None, None, None, None, '3315026') ('4323', '25116162', '1373004735', None, None, None, None, None, '3315026') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.03127241134643555 save_final save missing photos in datou_result : time spend for datou_step_exec : 75.8686752319336 time spend to save output : 0.03221297264099121 total time spend for step 1 : 75.90088820457458 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 2.40user 0.51system 1:18.68elapsed 3%CPU (0avgtext+0avgdata 111288maxresident)k 0inputs+1856outputs (0major+51653minor)pagefaults 0swaps