python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4891' -s datou_current_4891 -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 : 3175076
load datou : 4891
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
Unexpected type for variable list_input_json
ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0)
 Tried to parse : 
None was removed should we ?
donnée sous forme de texte was removed should we ?
[ptf_id0,ptf_id1...] was removed should we ?
load thcls
load pdts
Running datou job : batch_current
 TODO datou_current to load to do maybe to take outside batchDatouExec 
no input labels
no input values
updating current state to 1
list_input_json: {}
Current got : datou_id : 4891, datou_cur_ids : ['4350224'] with mtr_portfolio_ids : ['30474361'] and first list_photo_ids : []
new path :  /proc/3175076/
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 : 0.06134176254272461
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : 0
number of steps :  1
step1:split_time_score
Fri Feb 20 09:30:27 2026
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
begin split time score
2022-04-13 10:29:59 0
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}]
thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
(('00', 3), ('01', 2), ('02', 2), ('03', 3), ('04', 2), ('05', 68), ('06', 179), ('07', 124), ('08', 110), ('09', 42))
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 495}
20022026 30474361 Nombre de photos uploadées : 535 / 23040 (2%)
20022026 30474361 Nombre de photos taguées (types de déchets): 495 / 535 (92%)
20022026 30474361 Nombre de photos taguées (volume) : 495 / 535 (92%)
 elapsed_time : load_data_split_time_score 1.9073486328125e-06
 elapsed_time : order_list_meta_photo_and_scores 0.0002186298370361328
???????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.02167034149169922
Catched exception !
Connect or reconnect !
Catched exception !
Connect or reconnect !
 elapsed_time : insert_dashboard_record_day_entry 0.24092888832092285

 Creating list_photo_total 

 elapsed_time : select_descriptors 23.751369953155518
20022026 30474361 Nombre de photos avec descriptors (type 6092) : 487 / 518 (94%)
Missing descriptors for photos 0 and 1409126987
0:00:00|ON:Missing descriptors for photos 1409126987 and 1409131077
Missing descriptors for photos 1409131077 and 1409138638
Missing descriptors for photos 1409138638 and 1409145852
Missing descriptors for photos 1409145852 and 1409149274
Missing descriptors for photos 1409149274 and 1409157288
Missing descriptors for photos 1409157288 and 1409161017
Missing descriptors for photos 1409161017 and 1409167589
Missing descriptors for photos 1409167589 and 1409175732
Missing descriptors for photos 1409175732 and 1409179260
Missing descriptors for photos 1409179260 and 1409184718
Missing descriptors for photos 1409184718 and 1409189197
Missing descriptors for photos 1409189197 and 1409193117
5:17:18.999169|OFF:0:00:21.000291|ON:0:35:19.999874|OFF:0:00:19.999983|ON:0:01:38.999875|OFF:0:00:30.000053|ON:0:07:30.999967|OFF:0:00:09.999942|ON:0:01:30.000439|OFF:0:00:19.999605|ON:0:03:00.000144|OFF:0:00:29.999844|ON:0:00:29.999944|OFF:0:00:09.999953|ON:0:01:19.000001|OFF:0:00:21.000036|ON:0:14:40.000053|OFF:0:00:10.000087|ON:0:00:09.999949|OFF:0:00:19.999974|ON:0:00:40.000040|OFF:0:00:39.999936|ON:0:00:30.000161|OFF:0:00:29.999938|ON:0:00:39.999978|OFF:0:00:30.000062|ON:0:00:29.999896|OFF:0:00:10.000070|ON:0:00:49.999941|OFF:0:04:50.000941|ON:0:02:19.999016|OFF:0:00:09.999986|ON:0:29:10.000112|OFF:0:00:10.000019|ON:0:00:29.999939|OFF:0:00:30.000018|ON:0:23:20.000903|OFF:0:00:09.998825|ON:0:17:10.000113|OFF:0:00:30.000044|ON:0:20:00.000166|OFF:0:00:59.999907|ON:0:00:29.000008|OFF:0:00:31.000021|ON:0:00:40.000138|OFF:0:00:49.999796|ON:0:00:50.001194|OFF:0:00:09.998751|ON: WARNING condition_same_param while we were looking loading descriptors 
Missing descriptors for photos 1409222840 and 1409222841
Missing descriptors for photos 1409222841 and 1409222842
Missing descriptors for photos 1409222842 and 1409223203
Missing descriptors for photos 1409223203 and 1409223207
Missing descriptors for photos 1409223207 and 1409223208
Missing descriptors for photos 1409223208 and 1409223210
Missing descriptors for photos 1409223210 and 1409223211
Missing descriptors for photos 1409223211 and 1409223212
Missing descriptors for photos 1409223212 and 1409223213
Missing descriptors for photos 1409223213 and 1409223215
Missing descriptors for photos 1409223215 and 1409223216
Missing descriptors for photos 1409223216 and 1409223217
Missing descriptors for photos 1409223217 and 1409223218
Missing descriptors for photos 1409223218 and 1409223219
Missing descriptors for photos 1409223219 and 1409223222
Missing descriptors for photos 1409223222 and 1409223223
Missing descriptors for photos 1409223223 and 1409223225
Missing descriptors for photos 1409223225 and 1409223226
Missing descriptors for photos 1409223226 and 1409223227
Missing descriptors for photos 1409223227 and 1409223228
Missing descriptors for photos 1409223228 and 1409223229
Missing descriptors for photos 1409223229 and 1409223230
Missing descriptors for photos 1409223230 and 1409223239
Missing descriptors for photos 1409223239 and 1409223240
Missing descriptors for photos 1409223240 and 1409223241
Missing descriptors for photos 1409223241 and 1409223242
Missing descriptors for photos 1409223242 and 1409223244
Missing descriptors for photos 1409223244 and 1409223715
Missing descriptors for photos 1409223715 and 1409223716
Missing descriptors for photos 1409223716 and 1409223717

 20022026 Removing 42 photos because of the 'same image' condition
Total on : 28837.001020000003
list_time_on


Total off : 832.998082
list_time_off



dist_desc




begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 535
time used for this insertion : 0.21717596054077148
  photos_removed : len 42
 elapsed_time : remove_photo_duplicate 0.4392366409301758

 Creating list_photo_total 

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXWarning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
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Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
time_diff is bigger than the limit of interval, we ignore the result of this image in moving average
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
 elapsed_time : count_sum_diff_and_build_graph 0.1162865161895752
 Total photos : 535
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.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 : 2107760239   photo_id =1409194349 : pehd_pp
..............can't find max_score_info
.....Change port : 18 hashtag : 2107760238   photo_id =1409194688 : flux_dev
..................Change port : 18 hashtag : 2107760239   photo_id =1409195039 : pehd_pp
................Change port : 16 hashtag : 616987804   photo_id =1409196351 : emr
..........Change port : 10 hashtag : 495916461   photo_id =1409197095 : 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
.Change port : 78 hashtag : 538914404   photo_id =1409199543 : refus
........Change port : 8 hashtag : 560181804   photo_id =1409199554 : pcm
..Change port : 2 hashtag : 538914404   photo_id =1409199556 : refus
..Change port : 2 hashtag : 560181804   photo_id =1409199576 : pcm
.....Change port : 5 hashtag : 2107760237   photo_id =1409199663 : 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
....can't find max_score_info
....can't find max_score_info
.Change port : 24 hashtag : 616987804   photo_id =1409200284 : emr
...........can't find max_score_info
.....can't find max_score_info
.Change port : 15 hashtag : 2107760238   photo_id =1409200436 : flux_dev
......................Change port : 22 hashtag : 2107755846   photo_id =1409202454 : pet_clair
................can't find max_score_info
.Change port : 16 hashtag : 616987804   photo_id =1409204567 : emr
.......can't find max_score_info
....can't find max_score_info
.can't find max_score_info
..Change port : 11 hashtag : 2107760239   photo_id =1409205109 : pehd_pp
..................Change port : 18 hashtag : 493546845   photo_id =1409205649 : aluminium
............Change port : 12 hashtag : 616987804   photo_id =1409207067 : emr
.Change port : 1 hashtag : 1284539308   photo_id =1409207183 : pcnc
...........can't find max_score_info
.....Change port : 15 hashtag : 616987804   photo_id =1409207648 : emr
....Change port : 4 hashtag : 492741797   photo_id =1409208988 : ela
.........................Change port : 25 hashtag : 2107760239   photo_id =1409211160 : pehd_pp
..............can't find max_score_info
...Change port : 16 hashtag : 616987804   photo_id =1409214980 : emr
..................Change port : 18 hashtag : 2107760237   photo_id =1409217861 : 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
..Change port : 15 hashtag : 2107755846   photo_id =1409219241 : pet_clair
..............Change port : 14 hashtag : 2107760238   photo_id =1409219340 : flux_dev
......................Change port : 22 hashtag : 2107760239   photo_id =1409219952 : pehd_pp
................can't find max_score_info
.Change port : 16 hashtag : 492741797   photo_id =1409220491 : ela
.Change port : 1 hashtag : 2107760238   photo_id =1409220493 : flux_dev
.Change port : 1 hashtag : 492741797   photo_id =1409220497 : ela
....Change port : 4 hashtag : 2107760238   photo_id =1409220506 : flux_dev
........
 Total photos : 535
Number of lists : 31
counter photos in port : 436
 hashtag : aluminium(493546845) : 12 photos in 1 portfolios !
 hashtag : ela(492741797) : 30 photos in 3 portfolios !
 hashtag : emr(616987804) : 59 photos in 6 portfolios !
 hashtag : film_pedb(2107760237) : 39 photos in 2 portfolios !
 hashtag : flux_dev(2107760238) : 72 photos in 5 portfolios !
 hashtag : jrm(495916461) : 78 photos in 1 portfolios !
 hashtag : pcm(560181804) : 7 photos in 2 portfolios !
 hashtag : pcnc(1284539308) : 15 photos in 1 portfolios !
 hashtag : pehd_pp(2107760239) : 84 photos in 5 portfolios !
 hashtag : pet_clair(2107755846) : 30 photos in 2 portfolios !
 hashtag : refus(538914404) : 10 photos in 2 portfolios !
 hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios !
 elapsed_time : group_photo_by_moyenne_exp 0.014971017837524414
 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.384185791015625e-06
today str has not a value , we define it as the date of the first image
todaystr_first : 20022026
attention , prev_timestamp is 0 , we do nothing
**************
BIG TIME 370.0000510215759 (170.00119590759277, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.833011, 0, 0, 0, 1.9089999036073684, 0.0032, 0.0010000070095062257, 1.9, 0.17999996399879462, -0.299999920129776) on 17 1409194688 2026-02-20 05:33:49.009881 id_data : 32  

**
BIG TIME 389.9998230934143 (359.999981880188, 4, 0, 0, 0, 0, 0.51997656, 0, 0, 0, 0, 0, 0, 0, 1.964999905705452, 0.005, 0.0010000070095062257, 2.9, 0.02999985194206238, -0.033333226442337036) on 34 1409195039 2026-02-20 05:43:29.009674 id_data : 50  

*
BIG TIME 419.9998998641968 (510.0001449584961, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.7928194, 0, 0, 0, 2.0188999034166337, 0.0066, 0.0010000070095062257, 1.9, 0.1490001540184021, -0.233333211739858) on 49 1409196351 2026-02-20 05:52:58.009728 id_data : 66  

*
BIG TIME 269.9998619556427 (610.0003209114075, 2, 0, 0, 0.722069, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.070999910712242, 0.0076, 0.0010000070095062257, 0.9, 0.10100017309188843, -0.15166645526885986) on 58 1409197095 2026-02-20 05:59:09.009763 id_data : 76  

**
BIG TIME 210.00093698501587 (1010.0004661083221, 5, 0, 0, 0, 0, 0, 0.63032615, 0, 0, 0, 0, 0, 0, 2.1419999039173128, 0.0112, 0.004000022315979004, 1.9, 0.40999991703033445, -0.7166666785875956) on 90 1409198627 2026-02-20 06:09:59.010770 id_data : 112  

***
BIG TIME 220.00113987922668 (1567.9992644786835, 5, 0, 0, 0, 0, 0, 0.8599753, 0, 0, 0, 0, 0, 0, 2.2279998835086823, 0.0164, 0.013100005173683166, 0.9, 0.07899884510040284, -0.1333329184850057) on 134 1409199513 2026-02-20 06:24:29.010769 id_data : 164  

***
BIG TIME 308.99956488609314 (1828.9984426498413, 6, 0, 0, 0, 0, 0, 0, 0.56033444, 0, 0, 0, 0, 0, 2.275999927210808, 0.0182, 0.013100005173683166, 0.9, 0.030000138044357298, -0.03333343823750814) on 151 1409199663 2026-02-20 06:33:58.009631 id_data : 182  

**
BIG TIME 290.0009410381317 (2079.9988117218018, 3, 0, 0, 0, 0.8403337, 0, 0, 0, 0, 0, 0, 0, 0, 2.3438998298168183, 0.0219, 0.026100001072883607, 2.9, 0.23999950218200683, -0.5983303503195445) on 174 1409200284 2026-02-20 06:45:29.010940 id_data : 220  

*****
BIG TIME 369.9999969005585 (2669.9974727630615, 4, 0, 0, 0, 0, 0.3277673, 0, 0, 0, 0, 0, 0, 0, 2.4429999049186706, 0.0259, 0.03120009205341339, 1.9, 0.019999938011169435, -0.016666522026062013) on 210 1409202454 2026-02-20 07:02:49.009840 id_data : 259  

***
BIG TIME 420.0007870197296 (2909.9974160194397, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5124483, 0, 0, 2.507999915909767, 0.0275, 0.03120009205341339, 2.9, 0.2800001130104065, -0.43333298683166505) on 225 1409204440 2026-02-20 07:14:29.010740 id_data : 275  

**
BIG TIME 289.9997959136963 (3139.996598005295, 2, 0, 0, 0.73042715, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.5729999236106873, 0.029, 0.034200111842155455, 3.9, 0.1999990921020508, -0.233333846728007) on 236 1409205109 2026-02-20 07:23:09.009826 id_data : 290  

*
BIG TIME 330.0009078979492 (3339.9978580474854, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9273726, 0, 0, 0, 2.620999906206131, 0.0308, 0.034200111842155455, 1.9, 0.19000003004074095, -0.3000002117951711) on 253 1409205649 2026-02-20 07:31:49.010764 id_data : 308  

**
BIG TIME 310.0007300376892 (3489.996252298355, 0, 0.821593, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.6689999360084533, 0.032, 0.034200111842155455, 1.9, 0.14999939012527466, -0.1666669468084971) on 264 1409207067 2026-02-20 07:39:29.010884 id_data : 320  

*
BIG TIME 189.00029611587524 (3688.9935863018036, 2, 0, 0, 0.4930864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.720999887299538, 0.0341, 0.03530024032592773, 3.9, 0.02999870800971985, -0.033333274920781454) on 283 1409208988 2026-02-20 07:46:08.009963 id_data : 341  

*
BIG TIME 350.0008120536804 (3969.9936673641205, 1, 0, 0.8436338, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.76799992749691, 0.0366, 0.03530024032592773, 0.9, 0.03999979400634766, -0.050000234842300414) on 307 1409211160 2026-02-20 07:56:39.010881 id_data : 366  

**
BIG TIME 291.0010108947754 (4139.992613315582, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.8927914, 0, 0, 0, 2.8208999046087264, 0.0383, 0.036300243926048276, 2.9, 0.1689989230632782, -0.2816667381922404) on 322 1409214980 2026-02-20 08:04:29.010851 id_data : 383  

*
BIG TIME 390.00083088874817 (4228.991661310196, 2, 0, 0, 0.73390955, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.858999908709526, 0.0392, 0.036300243926048276, 2.9, 0.08999903011322022, -0.1333333400885264) on 330 1409216265 2026-02-20 08:12:29.010712 id_data : 392  

*
BIG TIME 281.0010449886322 (4318.990802526474, 2, 0, 0, 0.7923119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.9068999113082885, 0.0401, 0.036300243926048276, 0.9, 0.17899822521209718, -0.9316667167345682) on 338 1409217861 2026-02-20 08:18:39.010952 id_data : 401  

***
BIG TIME 300.0012409687042 (4495.989150524139, 3, 0, 0, 0, 0.7767147, 0, 0, 0, 0, 0, 0, 0, 0, 2.966999910211563, 0.0427, 0.05050042452812195, 1.9, 0.17799713802337647, -0.5166667135556539) on 352 1409219241 2026-02-20 08:28:59.011137 id_data : 427  

***
BIG TIME 350.00087308883667 (4745.9878923892975, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.45973504, 0, 0, 3.0219999103069304, 0.0441, 0.05050042452812195, 0.9, 0.2499987599849701, -0.40166809837023415) on 365 1409219340 2026-02-20 08:38:59.010770 id_data : 441  

**
BIG TIME 390.00064992904663 (4975.985869407654, 4, 0, 0, 0, 0, 0.7596781, 0, 0, 0, 0, 0, 0, 0, 3.081999941110611, 0.0463, 0.05050042452812195, 1.9, 0.15000031614303588, -0.23333381851514182) on 386 1409219952 2026-02-20 08:49:39.010855 id_data : 463  

***
BIG TIME 190.0012469291687 (5144.985089540482, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.7304794, 0, 0, 0, 3.1378999066114424, 0.0479, 0.05050042452812195, 1.9, 0.16899900507926943, -0.2650001319249471) on 401 1409220491 2026-02-20 08:57:39.010793 id_data : 480  

*Unexpected type of data : ({'photo_id': 1409221153, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/ef74f721aaa3d4367d70e4d0f6a1ccf7.jpg', 'username': None, 'uploaded_at': 1771574542, 'text': 'image_20022026_09_01_29_10734.jpg', 'time': 1771578089.010734}, 'different')
Unexpected type of data : ({'photo_id': 1409221166, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/8c97eb94b51628365bd664c52e763311.jpg', 'username': None, 'uploaded_at': 1771574542, 'text': 'image_20022026_09_01_39_9838.jpg', 'time': 1771578099.009838}, 'different')
Unexpected type of data : ({'photo_id': 1409222364, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/85e3ed60dcaec72a2f14c77365c9cd80.jpg', 'username': None, 'uploaded_at': 1771574902, 'text': 'image_20022026_09_07_49_9746.jpg', 'time': 1771578469.009746}, 'different')
Unexpected type of data : ({'photo_id': 1409222696, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/f75a85e49b020525c0dbe6829021cc65.jpg', 'username': None, 'uploaded_at': 1771574963, 'text': 'image_20022026_09_07_59_9864.jpg', 'time': 1771578479.009864}, 'different')
Unexpected type of data : ({'photo_id': 1409222731, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3f93b5e57f86e4a972ea52fbe59eae17.jpg', 'username': None, 'uploaded_at': 1771574963, 'text': 'image_20022026_09_08_09_10080.jpg', 'time': 1771578489.01008}, 'different')
Unexpected type of data : ({'photo_id': 1409222758, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/5072cbc1984eeaebd8ec3296372d195e.jpg', 'username': None, 'uploaded_at': 1771574963, 'text': 'image_20022026_09_08_19_9905.jpg', 'time': 1771578499.009905}, 'different')
Unexpected type of data : ({'photo_id': 1409222759, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/23566cc4d27c062aef54286db446ae27.jpg', 'username': None, 'uploaded_at': 1771574963, 'text': 'image_20022026_09_08_28_9837.jpg', 'time': 1771578508.009837}, 'different')
Unexpected type of data : ({'photo_id': 1409222772, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/c933e75567d5daf697a65b8076a60e59.jpg', 'username': None, 'uploaded_at': 1771574963, 'text': 'image_20022026_09_08_38_9889.jpg', 'time': 1771578518.009889}, 'different')
Unexpected type of data : ({'photo_id': 1409222798, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/85a3da741115417cbe96014ae440bb1d.jpg', 'username': None, 'uploaded_at': 1771574963, 'text': 'image_20022026_09_08_48_9978.jpg', 'time': 1771578528.009978}, 'different')
Unexpected type of data : ({'photo_id': 1409222840, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/9031a58b917531b6034a99eb4d937514.jpg', 'username': None, 'uploaded_at': 1771575023, 'text': 'image_20022026_09_08_58_10032.jpg', 'time': 1771578538.010032}, 'different')
Unexpected type of data : ({'photo_id': 1409222841, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/9b4fc6853f5a4c49e87ed3e4348a1a2c.jpg', 'username': None, 'uploaded_at': 1771575023, 'text': 'image_20022026_09_09_09_10391.jpg', 'time': 1771578549.010391}, 'different')
Unexpected type of data : ({'photo_id': 1409222842, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/d581c8a5ea4e96d84e3593417d949a0e.jpg', 'username': None, 'uploaded_at': 1771575023, 'text': 'image_20022026_09_09_19_9942.jpg', 'time': 1771578559.009942}, 'different')
Unexpected type of data : ({'photo_id': 1409223203, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/adea3579cd05201228966f81c487adda.jpg', 'username': None, 'uploaded_at': 1771575262, 'text': 'image_20022026_09_13_49_9719.jpg', 'time': 1771578829.009719}, 'different')
Unexpected type of data : ({'photo_id': 1409223207, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/55c8be6d86ebb35cee13896cd921f8df.jpg', 'username': None, 'uploaded_at': 1771575323, 'text': 'image_20022026_09_13_59_9891.jpg', 'time': 1771578839.009891}, 'different')
Unexpected type of data : ({'photo_id': 1409223208, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/91bf34c0cc8468cc2a1c1e54b5a8139d.jpg', 'username': None, 'uploaded_at': 1771575323, 'text': 'image_20022026_09_14_09_10090.jpg', 'time': 1771578849.01009}, 'different')
Unexpected type of data : ({'photo_id': 1409223210, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/ba2a08d96749ad25f82b0b6ff08a5a3e.jpg', 'username': None, 'uploaded_at': 1771575323, 'text': 'image_20022026_09_14_19_9914.jpg', 'time': 1771578859.009914}, 'different')
Unexpected type of data : ({'photo_id': 1409223211, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/76bbffa4a7d6619206218af1a3724f84.jpg', 'username': None, 'uploaded_at': 1771575323, 'text': 'image_20022026_09_14_28_9847.jpg', 'time': 1771578868.009847}, 'different')
Unexpected type of data : ({'photo_id': 1409223212, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/5fd07eb480ba29436f6f88de288de49a.jpg', 'username': None, 'uploaded_at': 1771575323, 'text': 'image_20022026_09_14_38_9870.jpg', 'time': 1771578878.00987}, 'different')
Unexpected type of data : ({'photo_id': 1409223213, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/31c5f53b2010a66ab1a8688a1398ce42.jpg', 'username': None, 'uploaded_at': 1771575323, 'text': 'image_20022026_09_14_49_11176.jpg', 'time': 1771578889.011176}, 'different')
Unexpected type of data : ({'photo_id': 1409223215, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/fc84ef2b559178be914efc30b6440280.jpg', 'username': None, 'uploaded_at': 1771575383, 'text': 'image_20022026_09_15_08_8973.jpg', 'time': 1771578908.008973}, 'different')
Unexpected type of data : ({'photo_id': 1409223216, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/36f05b8f7770eb0b71854715295d2812.jpg', 'username': None, 'uploaded_at': 1771575383, 'text': 'image_20022026_09_15_18_9926.jpg', 'time': 1771578918.009926}, 'different')
Unexpected type of data : ({'photo_id': 1409223217, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/b9a111f48cc3aa8418d0ccd10b3dce9c.jpg', 'username': None, 'uploaded_at': 1771575383, 'text': 'image_20022026_09_15_28_9968.jpg', 'time': 1771578928.009968}, 'different')
Unexpected type of data : ({'photo_id': 1409223218, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3bf4a7a80410b2b8818cb39c75a644db.jpg', 'username': None, 'uploaded_at': 1771575383, 'text': 'image_20022026_09_15_39_11162.jpg', 'time': 1771578939.011162}, 'different')
Unexpected type of data : ({'photo_id': 1409223219, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/384f61b6c27892bc6af422e746e890be.jpg', 'username': None, 'uploaded_at': 1771575383, 'text': 'image_20022026_09_15_49_9946.jpg', 'time': 1771578949.009946}, 'different')
Unexpected type of data : ({'photo_id': 1409223222, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/50b918b8f231bd0392701941e8530acd.jpg', 'username': None, 'uploaded_at': 1771575442, 'text': 'image_20022026_09_15_59_9878.jpg', 'time': 1771578959.009878}, 'different')
Unexpected type of data : ({'photo_id': 1409223223, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/76c3fd76f8e99d8717ddd6fa3d4efbf3.jpg', 'username': None, 'uploaded_at': 1771575442, 'text': 'image_20022026_09_16_49_9987.jpg', 'time': 1771579009.009987}, 'different')
Unexpected type of data : ({'photo_id': 1409223225, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/f2e8bc2c36021bfd03bfaee35d9c3844.jpg', 'username': None, 'uploaded_at': 1771575503, 'text': 'image_20022026_09_16_59_9885.jpg', 'time': 1771579019.009885}, 'different')
Unexpected type of data : ({'photo_id': 1409223226, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/8672107b614911674b2eb72063a2892c.jpg', 'username': None, 'uploaded_at': 1771575503, 'text': 'image_20022026_09_17_09_10106.jpg', 'time': 1771579029.010106}, 'different')
Unexpected type of data : ({'photo_id': 1409223227, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/9638b09513060b0497096448c21afb1c.jpg', 'username': None, 'uploaded_at': 1771575503, 'text': 'image_20022026_09_17_19_9882.jpg', 'time': 1771579039.009882}, 'different')
Unexpected type of data : ({'photo_id': 1409223228, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3279877177c79d6c47e733c930293e24.jpg', 'username': None, 'uploaded_at': 1771575503, 'text': 'image_20022026_09_17_29_9817.jpg', 'time': 1771579049.009817}, 'different')
Unexpected type of data : ({'photo_id': 1409223229, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3ef3aeffc0386bab8fea064ab248b471.jpg', 'username': None, 'uploaded_at': 1771575503, 'text': 'image_20022026_09_17_39_9856.jpg', 'time': 1771579059.009856}, 'different')
Unexpected type of data : ({'photo_id': 1409223230, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/37c86612d071b6c1f4814e6108617854.jpg', 'username': None, 'uploaded_at': 1771575503, 'text': 'image_20022026_09_17_49_9834.jpg', 'time': 1771579069.009834}, 'different')
Unexpected type of data : ({'photo_id': 1409223239, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/c6756abfeb476514dda79e3bb92f8e9a.jpg', 'username': None, 'uploaded_at': 1771575563, 'text': 'image_20022026_09_17_59_9790.jpg', 'time': 1771579079.00979}, 'different')
Unexpected type of data : ({'photo_id': 1409223240, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/2a7233ce5292aa2eda335952c61567e0.jpg', 'username': None, 'uploaded_at': 1771575563, 'text': 'image_20022026_09_18_09_10040.jpg', 'time': 1771579089.01004}, 'different')
Unexpected type of data : ({'photo_id': 1409223241, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/d3d87d9eb8d5d4d60e17c94fcfd0921b.jpg', 'username': None, 'uploaded_at': 1771575563, 'text': 'image_20022026_09_18_39_10033.jpg', 'time': 1771579119.010033}, 'different')
Unexpected type of data : ({'photo_id': 1409223242, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/a5a392d3420af5f626d68a1af48e610a.jpg', 'username': None, 'uploaded_at': 1771575563, 'text': 'image_20022026_09_18_49_9925.jpg', 'time': 1771579129.009925}, 'different')
Unexpected type of data : ({'photo_id': 1409223244, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/f73127463e1aa5e9d753844a419254fc.jpg', 'username': None, 'uploaded_at': 1771575603, 'text': 'image_20022026_09_19_29_9596.jpg', 'time': 1771579169.009596}, 'different')
Unexpected type of data : ({'photo_id': 1409223715, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/ddc780d13b87e80788c7c7ea12cefb73.jpg', 'username': None, 'uploaded_at': 1771576163, 'text': 'image_20022026_09_28_29_10847.jpg', 'time': 1771579709.010847}, 'different')
Unexpected type of data : ({'photo_id': 1409223716, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/3fe5b8b04fa49cb24c52ae8d3827f21b.jpg', 'username': None, 'uploaded_at': 1771576163, 'text': 'image_20022026_09_28_39_9757.jpg', 'time': 1771579719.009757}, 'different')
Unexpected type of data : ({'photo_id': 1409223717, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/20/4cafefc7206eae89bb35d4209ea2fd52.jpg', 'username': None, 'uploaded_at': 1771576163, 'text': 'image_20022026_09_28_49_9793.jpg', 'time': 1771579729.009793}, 'different')
Count Time bigger than 30s : 59
#Number Photos for regression : 
{'20022026': {493546845: {2107751013: 89.99920105934143, 2107751014: 38.99907374382019, 2107751015: 121.00151324272156, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 260.9987587928772, 2107751015: 50.00002098083496, 2107751016: 10.000250101089478, 2107751017: 19.999886989593506}, 616987804: {2107751013: 0, 2107751014: 337.9987471103668, 2107751015: 69.99747943878174, 2107751016: 299.9952690601349, 2107751017: 29.999916076660156}, 2107760237: {2107751013: 0, 2107751014: 88.9994969367981, 2107751015: 59.99767303466797, 2107751016: 268.99947023391724, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 299.9994707107544, 2107751015: 490.00076246261597, 2107751016: 59.99952697753906, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 449.00164818763733, 2107751015: 192.00179719924927, 2107751016: 307.9976499080658, 2107751017: 19.99828600883484}, 560181804: {2107751013: 0, 2107751014: 99.99993133544922, 2107751015: 40.000036001205444, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 11.001407146453857, 2107751015: 11.00130581855774, 2107751016: 89.00019979476929, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 365.9969103336334, 2107751015: 443.00106287002563, 2107751016: 77.99979710578918, 2107751017: 9.999974012374878}, 2107755846: {2107751013: 0, 2107751014: 99.99851393699646, 2107751015: 250.00037479400635, 2107751016: 179.99998426437378, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 40.00004482269287, 2107751015: 49.99872899055481, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 179.99920797348022, 2107751016: 0, 2107751017: 0}}}
20022026|aluminium, 05102018_papier_non_papier_dense:89.99920105934143
20022026|aluminium, 05102018_papier_non_papier_peu_dense:38.99907374382019
20022026|aluminium, 05102018_papier_non_papier_presque_vide:121.00151324272156
20022026|aluminium, 05102018_papier_non_papier_tres_dense:0
20022026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0
20022026|ela, 05102018_papier_non_papier_dense:0
20022026|ela, 05102018_papier_non_papier_peu_dense:260.9987587928772
20022026|ela, 05102018_papier_non_papier_presque_vide:50.00002098083496
20022026|ela, 05102018_papier_non_papier_tres_dense:10.000250101089478
20022026|ela, 05102018_papier_non_papier_tres_peu_dense:19.999886989593506
20022026|emr, 05102018_papier_non_papier_dense:0
20022026|emr, 05102018_papier_non_papier_peu_dense:337.9987471103668
20022026|emr, 05102018_papier_non_papier_presque_vide:69.99747943878174
20022026|emr, 05102018_papier_non_papier_tres_dense:299.9952690601349
20022026|emr, 05102018_papier_non_papier_tres_peu_dense:29.999916076660156
20022026|film_pedb, 05102018_papier_non_papier_dense:0
20022026|film_pedb, 05102018_papier_non_papier_peu_dense:88.9994969367981
20022026|film_pedb, 05102018_papier_non_papier_presque_vide:59.99767303466797
20022026|film_pedb, 05102018_papier_non_papier_tres_dense:268.99947023391724
20022026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0
20022026|flux_dev, 05102018_papier_non_papier_dense:0
20022026|flux_dev, 05102018_papier_non_papier_peu_dense:299.9994707107544
20022026|flux_dev, 05102018_papier_non_papier_presque_vide:490.00076246261597
20022026|flux_dev, 05102018_papier_non_papier_tres_dense:59.99952697753906
20022026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0
20022026|jrm, 05102018_papier_non_papier_dense:0
20022026|jrm, 05102018_papier_non_papier_peu_dense:449.00164818763733
20022026|jrm, 05102018_papier_non_papier_presque_vide:192.00179719924927
20022026|jrm, 05102018_papier_non_papier_tres_dense:307.9976499080658
20022026|jrm, 05102018_papier_non_papier_tres_peu_dense:19.99828600883484
20022026|pcm, 05102018_papier_non_papier_dense:0
20022026|pcm, 05102018_papier_non_papier_peu_dense:99.99993133544922
20022026|pcm, 05102018_papier_non_papier_presque_vide:40.000036001205444
20022026|pcm, 05102018_papier_non_papier_tres_dense:0
20022026|pcm, 05102018_papier_non_papier_tres_peu_dense:0
20022026|pcnc, 05102018_papier_non_papier_dense:0
20022026|pcnc, 05102018_papier_non_papier_peu_dense:11.001407146453857
20022026|pcnc, 05102018_papier_non_papier_presque_vide:11.00130581855774
20022026|pcnc, 05102018_papier_non_papier_tres_dense:89.00019979476929
20022026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0
20022026|pehd_pp, 05102018_papier_non_papier_dense:0
20022026|pehd_pp, 05102018_papier_non_papier_peu_dense:365.9969103336334
20022026|pehd_pp, 05102018_papier_non_papier_presque_vide:443.00106287002563
20022026|pehd_pp, 05102018_papier_non_papier_tres_dense:77.99979710578918
20022026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:9.999974012374878
20022026|pet_clair, 05102018_papier_non_papier_dense:0
20022026|pet_clair, 05102018_papier_non_papier_peu_dense:99.99851393699646
20022026|pet_clair, 05102018_papier_non_papier_presque_vide:250.00037479400635
20022026|pet_clair, 05102018_papier_non_papier_tres_dense:179.99998426437378
20022026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0
20022026|refus, 05102018_papier_non_papier_dense:0
20022026|refus, 05102018_papier_non_papier_peu_dense:40.00004482269287
20022026|refus, 05102018_papier_non_papier_presque_vide:49.99872899055481
20022026|refus, 05102018_papier_non_papier_tres_dense:0
20022026|refus, 05102018_papier_non_papier_tres_peu_dense:0
20022026|tapis_vide, 05102018_papier_non_papier_dense:0
20022026|tapis_vide, 05102018_papier_non_papier_peu_dense:0
20022026|tapis_vide, 05102018_papier_non_papier_presque_vide:179.99920797348022
20022026|tapis_vide, 05102018_papier_non_papier_tres_dense:0
20022026|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 !
20022026_time_diff_distrib


 Number amount portfolio for this type of dechet :  aluminium 16
Created to study and clean : 30482666 with name like 20022026_aluminium_05102018_papier_non_papier_dense
Created to study and clean : 30482667 with name like 20022026_aluminium_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482668 with name like 20022026_aluminium_05102018_papier_non_papier_presque_vide
 Number amount portfolio for this type of dechet :  ela 30
Created to study and clean : 30482669 with name like 20022026_ela_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482670 with name like 20022026_ela_05102018_papier_non_papier_presque_vide
Created to study and clean : 30482671 with name like 20022026_ela_05102018_papier_non_papier_tres_dense
Created to study and clean : 30482672 with name like 20022026_ela_05102018_papier_non_papier_tres_peu_dense
 Number amount portfolio for this type of dechet :  emr 60
Created to study and clean : 30482673 with name like 20022026_emr_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482674 with name like 20022026_emr_05102018_papier_non_papier_presque_vide
Created to study and clean : 30482675 with name like 20022026_emr_05102018_papier_non_papier_tres_dense
Created to study and clean : 30482676 with name like 20022026_emr_05102018_papier_non_papier_tres_peu_dense
 Number amount portfolio for this type of dechet :  film_pedb 37
Created to study and clean : 30482677 with name like 20022026_film_pedb_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482678 with name like 20022026_film_pedb_05102018_papier_non_papier_presque_vide
Created to study and clean : 30482679 with name like 20022026_film_pedb_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  flux_dev 56
Created to study and clean : 30482680 with name like 20022026_flux_dev_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482682 with name like 20022026_flux_dev_05102018_papier_non_papier_presque_vide
Created to study and clean : 30482683 with name like 20022026_flux_dev_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  jrm 75
Created to study and clean : 30482684 with name like 20022026_jrm_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482685 with name like 20022026_jrm_05102018_papier_non_papier_presque_vide
Created to study and clean : 30482686 with name like 20022026_jrm_05102018_papier_non_papier_tres_dense
Created to study and clean : 30482687 with name like 20022026_jrm_05102018_papier_non_papier_tres_peu_dense
 Number amount portfolio for this type of dechet :  pcm 13
 Number amount portfolio for this type of dechet :  pcnc 10
 Number amount portfolio for this type of dechet :  pehd_pp 83
Created to study and clean : 30482688 with name like 20022026_pehd_pp_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482689 with name like 20022026_pehd_pp_05102018_papier_non_papier_presque_vide
Created to study and clean : 30482690 with name like 20022026_pehd_pp_05102018_papier_non_papier_tres_dense
Created to study and clean : 30482691 with name like 20022026_pehd_pp_05102018_papier_non_papier_tres_peu_dense
 Number amount portfolio for this type of dechet :  pet_clair 28
Created to study and clean : 30482692 with name like 20022026_pet_clair_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482693 with name like 20022026_pet_clair_05102018_papier_non_papier_presque_vide
Created to study and clean : 30482694 with name like 20022026_pet_clair_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  refus 7
Created to study and clean : 30482695 with name like 20022026_refus_05102018_papier_non_papier_peu_dense
Created to study and clean : 30482696 with name like 20022026_refus_05102018_papier_non_papier_presque_vide
 Number amount portfolio for this type of dechet :  tapis_vide 2
Created to study and clean : 30482697 with name like 20022026_tapis_vide_05102018_papier_non_papier_presque_vide
 NUMBER BATCH : 31
 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['emr', 'gm', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus', 'emr', 'gm']
We 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 !
hashtag non trouvé !
result_one_balle_Type_pehd_pp:{'day': '20022026', 'map_nb_amount': {0: 8, 1: 9, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 79.99985098838806, 1: 90.00025582313538, 2: 9.999857187271118, 3: 0, 4: 0}, 'duration': 190.0000340938568, 'nb_balles_papier': 0.18099996399879462, 'begin_time_port': 'image_20022026_05_24_29_009796m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.18099996399879462
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_flux_dev:{'day': '20022026', 'map_nb_amount': {0: 9, 1: 5, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 80.0001220703125, 1: 70.00036597251892, 2: 39.99948191642761, 3: 0, 4: 0}, 'duration': 189.99996995925903, 'nb_balles_papier': 0.19099996995925902, 'begin_time_port': 'image_20022026_05_33_49_9881.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.19099996995925902
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 !
We filter photos on hashtag condition !
hashtag non trouvé !
hashtag non trouvé !
result_one_balle_Type_pehd_pp:{'day': '20022026', 'map_nb_amount': {0: 7, 1: 6, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 68.99899506568909, 1: 50.00109004974365, 2: 30.00006890296936, 3: 0, 4: 0}, 'duration': 149.0001540184021, 'nb_balles_papier': 0.1500001540184021, 'begin_time_port': 'image_20022026_05_43_29_009674m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.1500001540184021
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': '20022026', 'map_nb_amount': {0: 4, 1: 2, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 29.9998779296875, 1: 20.00004005432129, 2: 51.00025510787964, 3: 0, 4: 0}, 'duration': 101.00017309188843, 'nb_balles_papier': 0.10200017309188843, 'begin_time_port': 'image_20022026_05_52_58_009728m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.10200017309188843
We filter photos on hashtag condition !
We filter photos on hashtag condition !
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_emr:{'day': '20022026', 'map_nb_amount': {0: 4, 1: 2, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 29.9998779296875, 1: 20.00004005432129, 2: 51.00025510787964, 3: 0, 4: 0}, 'duration': 101.00017309188843, 'nb_balles_papier': 0.10200017309188843, 'begin_time_port': 'image_20022026_05_52_58_009728m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.10200017309188843
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_jrm:{'day': '20022026', 'map_nb_amount': {0: 36, 1: 14, 2: 26, 3: 2, 4: 0}, 'map_time_amount': {0: 449.00121426582336, 1: 192.00179719924927, 2: 307.9976499080658, 3: 19.99828600883484, 4: 0}, 'duration': 1299.9998660087585, 'nb_balles_papier': 0.970998947381973, 'begin_time_port': 'image_20022026_05_59_09_009763m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.970998947381973
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 !
We filter photos on hashtag condition !
hashtag non trouvé !
hashtag non trouvé !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
result_one_balle_Type_refus:{'day': '20022026', 'map_nb_amount': {0: 1, 1: 7, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 10.000047206878662, 1: 119.99908995628357, 2: 0, 3: 0, 4: 0}, 'duration': 69.99889612197876, 'nb_balles_papier': 0.12999913716316225, 'begin_time_port': 'image_20022026_06_25_29_011010m0.jpg 0.060000241041183476 for time 60.00024104118347, id_amount 2 this amount prod time diff : 0.060000241041183476'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.12999913716316225
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 !
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_gm:{'day': '20022026', 'map_nb_amount': {0: 4, 1: 1, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 60.00050902366638, 1: 9.999597072601318, 2: 0, 3: 0, 4: 0}, 'duration': 50.00010395050049, 'nb_balles_papier': 0.07000010609626771, 'begin_time_port': 'image_20022026_06_27_59_009962m0.jpg 0.020000002145767214 for time 20.000002145767212, id_amount 1 this amount prod time diff : 0.020000002145767214'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.07000010609626771
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': '20022026', 'map_nb_amount': {0: 3, 1: 3, 2: 18, 3: 0, 4: 0}, 'map_time_amount': {0: 30.000041961669922, 1: 29.999966144561768, 2: 179.99949407577515, 3: 0, 4: 0}, 'duration': 369.99946117401123, 'nb_balles_papier': 0.24099950218200683, 'begin_time_port': 'image_20022026_06_33_58_009631m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.24099950218200683
We filter photos on hashtag condition !
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 !
result_one_balle_Type_emr:{'day': '20022026', 'map_nb_amount': {0: 7, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 69.999990940094, 1: 19.999704122543335, 2: 69.99941897392273, 3: 0, 4: 0}, 'duration': 179.999116897583, 'nb_balles_papier': 0.1609991140365601, 'begin_time_port': 'image_20022026_06_45_29_010940m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.1609991140365601
We filter photos on hashtag condition !
We filter photos on hashtag condition !
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_emr:{'day': '20022026', 'map_nb_amount': {0: 7, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 69.999990940094, 1: 19.999704122543335, 2: 69.99941897392273, 3: 0, 4: 0}, 'duration': 179.999116897583, 'nb_balles_papier': 0.1609991140365601, 'begin_time_port': 'image_20022026_06_45_29_010940m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.1609991140365601
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_flux_dev:{'day': '20022026', 'map_nb_amount': {0: 9, 1: 12, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 89.99949908256531, 1: 331.0007109642029, 2: 10.000054121017456, 3: 0, 4: 0}, 'duration': 290.0001301765442, 'nb_balles_papier': 0.4310002641677856, 'begin_time_port': 'image_20022026_06_51_49_009713m0.jpg 0.14100013399124145 for time 141.00013399124146, id_amount 2 this amount prod time diff : 0.14100013399124145'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.4310002641677856
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 !
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': '20022026', 'map_nb_amount': {0: 2, 1: 11, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 20.00032091140747, 1: 181.00104594230652, 2: 78.9987461566925, 3: 0, 4: 0}, 'duration': 280.0001130104065, 'nb_balles_papier': 0.2810001130104065, 'begin_time_port': 'image_20022026_07_02_49_009840m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.2810001130104065
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': '20022026', 'map_nb_amount': {0: 4, 1: 1, 2: 5, 3: 1, 4: 0}, 'map_time_amount': {0: 119.99887895584106, 1: 9.999966144561768, 2: 50.00025391578674, 3: 19.999993085861206, 4: 0}, 'duration': 140.0003080368042, 'nb_balles_papier': 0.1999990921020508, 'begin_time_port': 'image_20022026_07_15_59_009722m0.jpg 0.08999898195266724 for time 89.99898195266724, id_amount 1 this amount prod time diff : 0.08999898195266724'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.1999990921020508
We filter photos on hashtag condition !
We filter photos on hashtag condition !
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_emr:{'day': '20022026', 'map_nb_amount': {0: 4, 1: 1, 2: 5, 3: 1, 4: 0}, 'map_time_amount': {0: 119.99887895584106, 1: 9.999966144561768, 2: 50.00025391578674, 3: 19.999993085861206, 4: 0}, 'duration': 140.0003080368042, 'nb_balles_papier': 0.1999990921020508, 'begin_time_port': 'image_20022026_07_15_59_009722m0.jpg 0.08999898195266724 for time 89.99898195266724, id_amount 1 this amount prod time diff : 0.08999898195266724'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.1999990921020508
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 !
hashtag non trouvé !
result_one_balle_Type_pehd_pp:{'day': '20022026', 'map_nb_amount': {0: 7, 1: 10, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 89.00023293495178, 1: 90.99982213973999, 2: 9.999974966049194, 3: 0, 4: 0}, 'duration': 190.00003004074097, 'nb_balles_papier': 0.19100003004074095, 'begin_time_port': 'image_20022026_07_23_09_009826m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.19100003004074095
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
 id_amount : 0
 id_amount : 0
 id_amount : 0
 id_amount : 0
 id_amount : 0
result_one_balle_Type_aluminium:{'day': '20022026', 'map_nb_amount': {0: 2, 1: 5, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 18.998816967010498, 1: 41.00137209892273, 2: 0, 3: 0, 4: 0}, 'duration': 149.99939012527466, 'nb_balles_papier': 0.15099939012527466, 'begin_time_port': 'image_20022026_07_31_49_010764m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.15099939012527466
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 !
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 !
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 !
result_one_balle_Type_ela:{'day': '20022026', 'map_nb_amount': {0: 18, 1: 3, 2: 1, 3: 3, 4: 0}, 'map_time_amount': {0: 220.99971270561218, 1: 30.000256061553955, 2: 10.000250101089478, 3: 19.999886989593506, 4: 0}, 'duration': 281.0001058578491, 'nb_balles_papier': 0.2820001058578491, 'begin_time_port': 'image_20022026_07_46_08_9963.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.2820001058578491
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 !
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 !
We filter photos on hashtag condition !
hashtag non trouvé !
hashtag non trouvé !
result_one_balle_Type_pehd_pp:{'day': '20022026', 'map_nb_amount': {0: 5, 1: 8, 2: 2, 3: 1, 4: 0}, 'map_time_amount': {0: 69.99906420707703, 1: 70.9999988079071, 2: 17.99988603591919, 3: 9.999974012374878, 4: 0}, 'duration': 178.99895906448364, 'nb_balles_papier': 0.1699989230632782, 'begin_time_port': 'image_20022026_07_56_39_10881.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.1699989230632782
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': '20022026', 'map_nb_amount': {0: 10, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 99.00033712387085, 1: 9.99902606010437, 2: 69.99886202812195, 3: 0, 4: 0}, 'duration': 568.9990561008453, 'nb_balles_papier': 0.18099822521209719, 'begin_time_port': 'image_20022026_08_04_29_10851.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.18099822521209719
We filter photos on hashtag condition !
We filter photos on hashtag condition !
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_emr:{'day': '20022026', 'map_nb_amount': {0: 10, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 99.00033712387085, 1: 9.99902606010437, 2: 69.99886202812195, 3: 0, 4: 0}, 'duration': 568.9990561008453, 'nb_balles_papier': 0.18099822521209719, 'begin_time_port': 'image_20022026_08_04_29_10851.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.18099822521209719
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': '20022026', 'map_nb_amount': {0: 2, 1: 3, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 58.999454975128174, 1: 29.9977068901062, 2: 88.99997615814209, 3: 0, 4: 0}, 'duration': 319.99894404411316, 'nb_balles_papier': 0.17899713802337647, 'begin_time_port': 'image_20022026_08_18_39_10952.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.17899713802337647
We filter photos on hashtag condition !
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 !
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': '20022026', 'map_nb_amount': {0: 5, 1: 6, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 79.99819302558899, 1: 68.99932885169983, 2: 101.00123810768127, 3: 0, 4: 0}, 'duration': 249.9987599849701, 'nb_balles_papier': 0.2509987599849701, 'begin_time_port': 'image_20022026_08_28_59_11137.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.2509987599849701
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_flux_dev:{'day': '20022026', 'map_nb_amount': {0: 12, 1: 9, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 139.9999463558197, 1: 99.99949765205383, 2: 9.999990940093994, 3: 0, 4: 0}, 'duration': 249.99943494796753, 'nb_balles_papier': 0.25099943494796756, 'begin_time_port': 'image_20022026_08_38_59_10770.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.25099943494796756
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 !
We filter photos on hashtag condition !
hashtag non trouvé !
hashtag non trouvé !
result_one_balle_Type_pehd_pp:{'day': '20022026', 'map_nb_amount': {0: 6, 1: 9, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 57.998767137527466, 1: 101.00022792816162, 2: 10.000010013580322, 3: 0, 4: 0}, 'duration': 168.9990050792694, 'nb_balles_papier': 0.16999900507926943, 'begin_time_port': 'image_20022026_08_49_39_10855.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.16999900507926943
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_flux_dev:{'day': '20022026', 'map_nb_amount': {0: 4, 1: 5, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 40.00010299682617, 1: 68.99983096122742, 2: 0, 3: 0, 4: 0}, 'duration': 98.9999189376831, 'nb_balles_papier': 0.10899993395805357, 'begin_time_port': 'image_20022026_08_58_39_9942.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.10899993395805357
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 have rejected 15 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 26
list_same_port_ids : [30481121]


 find same portfolio which already exist 30481121 , we will use it
list_same_port_ids : []
list_same_port_ids : [30481862]


 find same portfolio which already exist 30481862 , we will use it
list_same_port_ids : [30481863]


 find same portfolio which already exist 30481863 , we will use it
list_same_port_ids : [30481863]


 find same portfolio which already exist 30481863 , we will use it
list_same_port_ids : [30481864]


 find same portfolio which already exist 30481864 , we will use it
list_same_port_ids : [30481865]


 find same portfolio which already exist 30481865 , we will use it
list_same_port_ids : [30481866]


 find same portfolio which already exist 30481866 , we will use it
list_same_port_ids : [30481867]


 find same portfolio which already exist 30481867 , we will use it
list_same_port_ids : [30481868]


 find same portfolio which already exist 30481868 , we will use it
list_same_port_ids : [30481868]


 find same portfolio which already exist 30481868 , we will use it
list_same_port_ids : [30481869]


 find same portfolio which already exist 30481869 , we will use it
list_same_port_ids : [30481870]


 find same portfolio which already exist 30481870 , we will use it
list_same_port_ids : [30481871]


 find same portfolio which already exist 30481871 , we will use it
list_same_port_ids : [30481871]


 find same portfolio which already exist 30481871 , we will use it
list_same_port_ids : [30481872]


 find same portfolio which already exist 30481872 , we will use it
list_same_port_ids : [30481873]


 find same portfolio which already exist 30481873 , we will use it
list_same_port_ids : []
list_same_port_ids : []
list_same_port_ids : []
list_same_port_ids : [30482702]


 find same portfolio which already exist 30482702 , we will use it
list_same_port_ids : []
list_same_port_ids : []
list_same_port_ids : []
list_same_port_ids : []
list_same_port_ids : []
Qualite : 0.10166387425762102
# 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`=30481121 AND  mptpi.`type`=4211
To do
# 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 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 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 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 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 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 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`=30482698 AND  mptpi.`type`=4200
To do
Qualite : 0.09495730848976518
# 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`=30481862 AND  mptpi.`type`=4211
To do
Qualite : 0.08018694212374451
# 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`=30481863 AND  mptpi.`type`=4207
To do
Qualite : 0.08018694212374451
# 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`=30481863 AND  mptpi.`type`=4207
To do
Qualite : 0.062188993822059335
# 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 !
 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 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 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 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : 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 !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 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`=30481864 AND  mptpi.`type`=3726
To do
Qualite : 0.20134432568962185
# 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 !
 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 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 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
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`=30481865 AND  mptpi.`type`=3594
To do
Qualite : 0.036940557632036256
# 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`=30481866 AND  mptpi.`type`=4209
To do
Qualite : 0.12882678681142393
# 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`=30481867 AND  mptpi.`type`=4461
To do
Qualite : 0.0747774167973384
# 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`=30481868 AND  mptpi.`type`=4207
To do
Qualite : 0.0747774167973384
# 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`=30481868 AND  mptpi.`type`=4207
To do
Qualite : 0.18807706043216688
# 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 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 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 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 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 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 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`=30481869 AND  mptpi.`type`=4200
To do
Qualite : 0.08535760936805775
# 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`=30481870 AND  mptpi.`type`=3327
To do
Qualite : 0.07565654995187622
# 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`=30481871 AND  mptpi.`type`=4207
To do
Qualite : 0.07565654995187622
# 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`=30481871 AND  mptpi.`type`=4207
To do
Qualite : 0.09822884683509463
# 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`=30481872 AND  mptpi.`type`=4211
To do
Qualite : 0.07560046631644195
# 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 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 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 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 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`=30481873 AND  mptpi.`type`=4205
To do
# 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`=30482699 AND  mptpi.`type`=4203
To do
# 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`=30482700 AND  mptpi.`type`=4211
To do
# 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`=30482702 AND  mptpi.`type`=4207
To do
# 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`=30482702 AND  mptpi.`type`=4207
To do
# 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`=30482704 AND  mptpi.`type`=4461
To do
# 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`=30482706 AND  mptpi.`type`=3327
To do
# 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 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 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 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 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 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 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`=30482708 AND  mptpi.`type`=4200
To do
# 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`=30482711 AND  mptpi.`type`=4211
To do
# 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 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 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 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 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 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 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`=30482712 AND  mptpi.`type`=4200
To do
 elapsed_time : count_nb_balles_and_create_portfolio 276.933554649353
# DISPLAY ALL COLLECTED DATA : 
{'20022026': {'nb_upload': 535, 'nb_taggue_class': 495, 'nb_taggue_densite': 495, 'nb_descriptors': 487, 'number_port': 31, 'count_photo_in_port': 436, 'nb_port_per_class': {'aluminium': {'nb_photos': 12, 'nb_portfolios': 1}, 'ela': {'nb_photos': 30, 'nb_portfolios': 3}, 'emr': {'nb_photos': 59, 'nb_portfolios': 6}, 'film_pedb': {'nb_photos': 39, 'nb_portfolios': 2}, 'flux_dev': {'nb_photos': 72, 'nb_portfolios': 5}, 'jrm': {'nb_photos': 78, 'nb_portfolios': 1}, 'pcm': {'nb_photos': 7, 'nb_portfolios': 2}, 'pcnc': {'nb_photos': 15, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 84, 'nb_portfolios': 5}, 'pet_clair': {'nb_photos': 30, 'nb_portfolios': 2}, 'refus': {'nb_photos': 10, 'nb_portfolios': 2}, '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 
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Looping around the photos to save general results
len do output : 1
/30474361Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f00ed7d1f10>
Managing all output in save final without adding information in the mtr_datou_result 
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223717', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223716', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223715', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223244', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223242', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223241', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223240', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223239', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223230', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223229', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223228', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223227', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223226', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223225', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223223', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223222', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223219', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223218', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223217', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223216', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223215', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223213', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223212', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223211', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223210', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223208', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223207', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409223203', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409222842', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409222841', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409222840', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409222798', None, None, None, None, None, '4350224')
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('4891', '30474361', '1409222759', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409222758', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409222731', None, None, None, None, None, '4350224')
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('4891', None, None, None, None, None, None, None, '4350224')
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('4891', '30474361', '1409221153', None, None, None, None, None, '4350224')
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('4891', '30474361', '1409221034', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409221033', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409221032', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220860', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220827', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220795', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220753', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220514', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220506', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220504', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220502', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
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('4891', None, None, None, None, None, None, None, '4350224')
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('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220493', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220491', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220372', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220168', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220166', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220014', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220012', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409220010', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219999', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219969', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219968', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219967', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219966', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219965', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219964', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219962', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219960', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219953', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219952', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219410', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219409', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219373', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219372', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219371', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219370', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219366', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219365', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219364', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219363', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219362', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219361', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219360', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219358', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219356', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219354', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219347', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219344', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219343', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219342', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219341', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219340', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219301', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219300', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219264', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219263', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219255', None, None, None, None, None, '4350224')
('4891', None, None, None, None, None, None, None, '4350224')
('4891', '30474361', '1409219251', None, None, None, None, None, '4350224')


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 101
time used for this insertion : 0.050626516342163086
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 301.7205317020416
time spend to save output : 0.05149221420288086
total time spend for step 1 : 301.7720239162445

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 
3.31user 1.10system 5:03.89elapsed 1%CPU (0avgtext+0avgdata 115836maxresident)k
40inputs+4600outputs (1major+53811minor)pagefaults 0swaps