Build: #126 failed
Job: Test Linux failed
Build log
The build generated 82,552 lines of output.The output is too long and has been truncated to the last 1,000 lines. Download or view full build log.
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:41.642826 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:40.828231 End time: 2023-01-24 16:42:41.642826 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:42.548753 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:41.664087 End time: 2023-01-24 16:42:42.548753 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:43.426067 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:42.570343 End time: 2023-01-24 16:42:43.426067 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:44.343429 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:43.447461 End time: 2023-01-24 16:42:44.343429 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:45.220991 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:44.365283 End time: 2023-01-24 16:42:45.220991 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:46.076764 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:45.242979 End time: 2023-01-24 16:42:46.076764 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:46.932748 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:46.086185 End time: 2023-01-24 16:42:46.932748 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:52.695973 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:51.953104 End time: 2023-01-24 16:42:52.695973 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:53.460197 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:52.706044 End time: 2023-01-24 16:42:53.460197 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:54.231198 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:53.483586 End time: 2023-01-24 16:42:54.231198 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:54.976215 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:54.242630 End time: 2023-01-24 16:42:54.976215 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:55.694054 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:54.985634 End time: 2023-01-24 16:42:55.694054 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:56.489902 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:55.704657 End time: 2023-01-24 16:42:56.489902 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:57.272706 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:56.510753 End time: 2023-01-24 16:42:57.272706 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:58.025043 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:57.290827 End time: 2023-01-24 16:42:58.025043 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:58.766492 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:58.034770 End time: 2023-01-24 16:42:58.766492 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:42:59.490412 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:58.777962 End time: 2023-01-24 16:42:59.490412 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:00.202871 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:42:59.501083 End time: 2023-01-24 16:43:00.202871 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:00.923977 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:00.213904 End time: 2023-01-24 16:43:00.923977 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:01.649893 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:00.935068 End time: 2023-01-24 16:43:01.649893 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:02.383184 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:01.660159 End time: 2023-01-24 16:43:02.383184 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:03.113432 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:02.393360 End time: 2023-01-24 16:43:03.113432 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:03.870998 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:03.123767 End time: 2023-01-24 16:43:03.870998 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:04.601718 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:03.880479 End time: 2023-01-24 16:43:04.601718 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:05.321547 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:04.611875 End time: 2023-01-24 16:43:05.321547 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:06.095290 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:05.336485 End time: 2023-01-24 16:43:06.095290 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:06.852058 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:06.106707 End time: 2023-01-24 16:43:06.852058 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:07.555577 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:06.863349 End time: 2023-01-24 16:43:07.555577 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:08.288974 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:07.565866 End time: 2023-01-24 16:43:08.288974 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:08.996729 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:08.299923 End time: 2023-01-24 16:43:08.996729 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:09.767758 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:09.006864 End time: 2023-01-24 16:43:09.767758 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:10.525980 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:09.782300 End time: 2023-01-24 16:43:10.525980 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:11.221308 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:10.535486 End time: 2023-01-24 16:43:11.221308 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:11.996335 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:11.231293 End time: 2023-01-24 16:43:11.996335 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:18.380693 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:17.566143 End time: 2023-01-24 16:43:18.380693 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:19.142159 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:18.391736 End time: 2023-01-24 16:43:19.142159 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:19.943984 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:19.164185 End time: 2023-01-24 16:43:19.943984 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:20.716626 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:19.962447 End time: 2023-01-24 16:43:20.716626 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:21.594953 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:20.738368 End time: 2023-01-24 16:43:21.594953 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:22.376540 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:21.610563 End time: 2023-01-24 16:43:22.376540 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:23.150027 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:22.391445 End time: 2023-01-24 16:43:23.150027 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:23.892755 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:23.160174 End time: 2023-01-24 16:43:23.892755 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:24.672167 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:23.911777 End time: 2023-01-24 16:43:24.672167 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:25.432960 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:24.683182 End time: 2023-01-24 16:43:25.432960 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:26.137489 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:25.445309 End time: 2023-01-24 16:43:26.137489 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:26.853656 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:26.147658 End time: 2023-01-24 16:43:26.853656 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:27.598114 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:26.863311 End time: 2023-01-24 16:43:27.598114 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:28.358665 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:27.607957 End time: 2023-01-24 16:43:28.358665 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:29.108627 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:28.369790 End time: 2023-01-24 16:43:29.108627 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:29.868927 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:29.118171 End time: 2023-01-24 16:43:29.868927 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:30.621987 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:29.878713 End time: 2023-01-24 16:43:30.621987 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:31.337563 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:30.632120 End time: 2023-01-24 16:43:31.337563 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:32.097458 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:31.350362 End time: 2023-01-24 16:43:32.097458 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:32.871482 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:32.106962 End time: 2023-01-24 16:43:32.871482 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:33.623025 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:32.882369 End time: 2023-01-24 16:43:33.623025 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:34.394555 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:33.632686 End time: 2023-01-24 16:43:34.394555 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:35.138455 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:34.405108 End time: 2023-01-24 16:43:35.138455 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:35.901356 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:35.148419 End time: 2023-01-24 16:43:35.901356 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:36.643439 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:35.911594 End time: 2023-01-24 16:43:36.643439 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:37.360541 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:36.653253 End time: 2023-01-24 16:43:37.360541 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:38.091739 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:43:37.370010 End time: 2023-01-24 16:43:38.091739 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:45.323403 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:43:44.512306 End time: 2023-01-24 16:43:45.323403 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:50.003844 :: 129 :: mstransform :: Task mstransform complete. Start time: 2023-01-24 16:43:45.337838 End time: 2023-01-24 16:43:50.003844 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:51.441791 :: 129 :: flagmanager :: Task flagmanager complete. Start time: 2023-01-24 16:43:50.126465 End time: 2023-01-24 16:43:51.441791 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:43:59.141437 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:43:51.516116 End time: 2023-01-24 16:43:59.141437 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:06.042189 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:43:59.176089 End time: 2023-01-24 16:44:06.042189 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:08.096830 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:06.063675 End time: 2023-01-24 16:44:08.096830 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:15.308995 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:08.170793 End time: 2023-01-24 16:44:15.308995 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:22.266594 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:15.361314 End time: 2023-01-24 16:44:22.266594 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:24.335624 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:22.285450 End time: 2023-01-24 16:44:24.335624 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:30.482331 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:24.407079 End time: 2023-01-24 16:44:30.482331 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:32.523258 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:30.506219 End time: 2023-01-24 16:44:32.523258 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:38.554136 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:32.587332 End time: 2023-01-24 16:44:38.554136 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:40.563682 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:38.572582 End time: 2023-01-24 16:44:40.563682 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:46.761441 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:40.581878 End time: 2023-01-24 16:44:46.761441 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:47.534553 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:44:46.780338 End time: 2023-01-24 16:44:47.534553 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:51.760336 :: 129 :: mstransform :: Task mstransform complete. Start time: 2023-01-24 16:44:47.548104 End time: 2023-01-24 16:44:51.760336 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:44:56.900685 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:44:53.986798 End time: 2023-01-24 16:44:56.900685 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:45:00.520248 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:44:56.924100 End time: 2023-01-24 16:45:00.520248 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:45:04.166150 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:45:00.530447 End time: 2023-01-24 16:45:04.166150 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:45:12.236895 :: 129 :: split :: Task split complete. Start time: 2023-01-24 16:45:04.917916 End time: 2023-01-24 16:45:12.236895 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:45:15.079293 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:45:13.283579 End time: 2023-01-24 16:45:15.079293 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:45:25.194771 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:45:15.094170 End time: 2023-01-24 16:45:25.194771 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:45:29.333401 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:45:25.216489 End time: 2023-01-24 16:45:29.333401 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:45:55.596440 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:45:29.820517 End time: 2023-01-24 16:45:55.596440 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:45:59.994205 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:45:55.621732 End time: 2023-01-24 16:45:59.994205 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:02.845588 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:02.009868 End time: 2023-01-24 16:46:02.845588 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:03.687245 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:02.861181 End time: 2023-01-24 16:46:03.687245 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:04.491147 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:03.699175 End time: 2023-01-24 16:46:04.491147 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:05.405548 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:04.512013 End time: 2023-01-24 16:46:05.405548 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:06.304886 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:05.425794 End time: 2023-01-24 16:46:06.304886 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:07.185052 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:06.315355 End time: 2023-01-24 16:46:07.185052 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:08.115884 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:07.206674 End time: 2023-01-24 16:46:08.115884 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:08.991821 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:08.136458 End time: 2023-01-24 16:46:08.991821 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:09.829446 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:09.004351 End time: 2023-01-24 16:46:09.829446 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:10.686129 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:09.841512 End time: 2023-01-24 16:46:10.686129 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:11.541217 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:10.700843 End time: 2023-01-24 16:46:11.541217 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:12.376150 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:11.556583 End time: 2023-01-24 16:46:12.376150 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:13.225254 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:12.391517 End time: 2023-01-24 16:46:13.225254 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:14.062545 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:13.235136 End time: 2023-01-24 16:46:14.062545 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:14.962063 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:14.077666 End time: 2023-01-24 16:46:14.962063 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:15.886222 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:14.971589 End time: 2023-01-24 16:46:15.886222 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:16.808486 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:15.906945 End time: 2023-01-24 16:46:16.808486 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:17.674142 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:16.821913 End time: 2023-01-24 16:46:17.674142 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:18.572725 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:17.694364 End time: 2023-01-24 16:46:18.572725 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:19.432051 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:18.594702 End time: 2023-01-24 16:46:19.432051 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:20.307742 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:19.452460 End time: 2023-01-24 16:46:20.307742 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:21.164200 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:20.329080 End time: 2023-01-24 16:46:21.164200 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:22.051882 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:21.179628 End time: 2023-01-24 16:46:22.051882 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:22.954893 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:22.062855 End time: 2023-01-24 16:46:22.954893 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:23.845199 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:22.976828 End time: 2023-01-24 16:46:23.845199 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:24.675876 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:23.858185 End time: 2023-01-24 16:46:24.675876 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:25.544130 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:24.695881 End time: 2023-01-24 16:46:25.544130 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:31.931698 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:31.068002 End time: 2023-01-24 16:46:31.931698 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:32.826368 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:31.941908 End time: 2023-01-24 16:46:32.826368 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:33.680428 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:32.842799 End time: 2023-01-24 16:46:33.680428 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:34.576594 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:33.691957 End time: 2023-01-24 16:46:34.576594 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:35.475229 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:34.587571 End time: 2023-01-24 16:46:35.475229 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:36.373139 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:35.490785 End time: 2023-01-24 16:46:36.373139 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:37.234235 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:36.384241 End time: 2023-01-24 16:46:37.234235 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:38.126908 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:37.251216 End time: 2023-01-24 16:46:38.126908 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:38.987965 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:38.145332 End time: 2023-01-24 16:46:38.987965 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:39.904049 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:39.009179 End time: 2023-01-24 16:46:39.904049 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:40.790752 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:39.926249 End time: 2023-01-24 16:46:40.790752 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:41.666025 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:40.802457 End time: 2023-01-24 16:46:41.666025 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:42.544781 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:41.681808 End time: 2023-01-24 16:46:42.544781 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:43.439280 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:42.566656 End time: 2023-01-24 16:46:43.439280 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:44.331627 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:43.461607 End time: 2023-01-24 16:46:44.331627 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:45.202588 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:44.353043 End time: 2023-01-24 16:46:45.202588 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:46.185060 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:45.224070 End time: 2023-01-24 16:46:46.185060 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:47.047106 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:46.207066 End time: 2023-01-24 16:46:47.047106 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:47.912152 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:47.066217 End time: 2023-01-24 16:46:47.912152 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:48.704073 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:47.931056 End time: 2023-01-24 16:46:48.704073 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:49.536057 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:48.715939 End time: 2023-01-24 16:46:49.536057 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:50.386846 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:49.549326 End time: 2023-01-24 16:46:50.386846 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:51.192181 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:50.401202 End time: 2023-01-24 16:46:51.192181 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:52.035577 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:51.201760 End time: 2023-01-24 16:46:52.035577 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:52.823523 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:52.046111 End time: 2023-01-24 16:46:52.823523 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:53.652622 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:52.835253 End time: 2023-01-24 16:46:53.652622 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:46:54.493051 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:46:53.662229 End time: 2023-01-24 16:46:54.493051 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:47:40.306967 :: 129 :: setjy :: Task setjy complete. Start time: 2023-01-24 16:47:00.673166 End time: 2023-01-24 16:47:40.306967 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:47:42.300477 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:47:40.426455 End time: 2023-01-24 16:47:42.300477 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:47:56.956959 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:47:42.316908 End time: 2023-01-24 16:47:56.956959 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:02.417902 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:47:56.980875 End time: 2023-01-24 16:48:02.417902 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:14.950265 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:48:02.443737 End time: 2023-01-24 16:48:14.950265 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:19.633803 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:48:14.972085 End time: 2023-01-24 16:48:19.633803 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:19.718011 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:48:19.669232 End time: 2023-01-24 16:48:19.718011 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:22.588722 :: 129 :: applycal :: Task applycal complete. Start time: 2023-01-24 16:48:19.722605 End time: 2023-01-24 16:48:22.588722 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:35.143552 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:48:22.595548 End time: 2023-01-24 16:48:35.143552 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:39.873610 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:48:35.167227 End time: 2023-01-24 16:48:39.873610 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:40.514275 :: 129 :: fluxscale :: Task fluxscale complete. Start time: 2023-01-24 16:48:39.904086 End time: 2023-01-24 16:48:40.514275 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:42.492197 :: 129 :: setjy :: Task setjy complete. Start time: 2023-01-24 16:48:40.544747 End time: 2023-01-24 16:48:42.492197 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:45.613982 :: 129 :: setjy :: Task setjy complete. Start time: 2023-01-24 16:48:42.499503 End time: 2023-01-24 16:48:45.613982 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:48:48.304562 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:48:47.519489 End time: 2023-01-24 16:48:48.304562 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:49:01.747050 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:48:48.329468 End time: 2023-01-24 16:49:01.747050 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:49:06.105785 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:49:03.836144 End time: 2023-01-24 16:49:06.105785 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:49:25.061625 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:49:06.131219 End time: 2023-01-24 16:49:25.061625 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:49:48.469652 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:49:25.091047 End time: 2023-01-24 16:49:48.469652 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:50:02.284568 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:49:48.503291 End time: 2023-01-24 16:50:02.284568 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:50:32.378244 :: 129 :: bandpass :: Task bandpass complete. Start time: 2023-01-24 16:50:02.317299 End time: 2023-01-24 16:50:32.378244 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:50:57.732716 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:50:32.411115 End time: 2023-01-24 16:50:57.732716 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:50:57.925603 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:50:57.812672 End time: 2023-01-24 16:50:57.925603 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:51:28.198486 :: 129 :: applycal :: Task applycal complete. Start time: 2023-01-24 16:50:57.937297 End time: 2023-01-24 16:51:28.198486 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:52:07.398966 :: 129 :: split :: Task split complete. Start time: 2023-01-24 16:51:28.218420 End time: 2023-01-24 16:52:07.398966 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:52:57.546023 :: 129 :: setjy :: Task setjy complete. Start time: 2023-01-24 16:52:07.654402 End time: 2023-01-24 16:52:57.546023 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:52:59.777162 :: 129 :: setjy :: Task setjy complete. Start time: 2023-01-24 16:52:57.571764 End time: 2023-01-24 16:52:59.777162 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:53:14.250314 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:52:59.790133 End time: 2023-01-24 16:53:14.250314 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:53:19.642976 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:53:14.285835 End time: 2023-01-24 16:53:19.642976 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:53:33.469060 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:53:19.666250 End time: 2023-01-24 16:53:33.469060 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:53:38.218645 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:53:33.491327 End time: 2023-01-24 16:53:38.218645 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:53:51.148064 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:53:38.241007 End time: 2023-01-24 16:53:51.148064 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:53:55.858500 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 16:53:51.169585 End time: 2023-01-24 16:53:55.858500 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:53:58.853589 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:53:58.052995 End time: 2023-01-24 16:53:58.853589 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:53:59.574848 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:53:58.875262 End time: 2023-01-24 16:53:59.574848 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:00.327674 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:53:59.595967 End time: 2023-01-24 16:54:00.327674 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:01.081243 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:00.343300 End time: 2023-01-24 16:54:01.081243 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:01.853580 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:01.100782 End time: 2023-01-24 16:54:01.853580 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:02.627895 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:01.872162 End time: 2023-01-24 16:54:02.627895 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:03.362856 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:02.639169 End time: 2023-01-24 16:54:03.362856 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:04.102618 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:03.375830 End time: 2023-01-24 16:54:04.102618 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:04.828672 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:04.118043 End time: 2023-01-24 16:54:04.828672 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:05.571645 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:04.850271 End time: 2023-01-24 16:54:05.571645 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:06.311702 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:05.581627 End time: 2023-01-24 16:54:06.311702 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:07.072457 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:06.331467 End time: 2023-01-24 16:54:07.072457 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:07.831226 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:07.094095 End time: 2023-01-24 16:54:07.831226 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:08.537263 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:07.845589 End time: 2023-01-24 16:54:08.537263 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:09.275231 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:08.553968 End time: 2023-01-24 16:54:09.275231 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:10.027545 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:09.294544 End time: 2023-01-24 16:54:10.027545 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:10.768730 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:10.048686 End time: 2023-01-24 16:54:10.768730 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:11.509297 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:10.786036 End time: 2023-01-24 16:54:11.509297 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:12.239295 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:11.519311 End time: 2023-01-24 16:54:12.239295 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:12.980280 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:12.248863 End time: 2023-01-24 16:54:12.980280 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:13.752615 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:13.001246 End time: 2023-01-24 16:54:13.752615 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:14.531145 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:13.775310 End time: 2023-01-24 16:54:14.531145 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:15.282196 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:14.548738 End time: 2023-01-24 16:54:15.282196 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:16.007588 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:15.302302 End time: 2023-01-24 16:54:16.007588 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:16.748420 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:16.022174 End time: 2023-01-24 16:54:16.748420 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:17.449822 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:16.764933 End time: 2023-01-24 16:54:17.449822 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:18.167404 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:17.459362 End time: 2023-01-24 16:54:18.167404 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:25.208076 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:24.341311 End time: 2023-01-24 16:54:25.208076 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:26.020871 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:25.219474 End time: 2023-01-24 16:54:26.020871 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:26.859811 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:26.036188 End time: 2023-01-24 16:54:26.859811 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:27.721153 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:26.869821 End time: 2023-01-24 16:54:27.721153 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:28.534423 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:27.736603 End time: 2023-01-24 16:54:28.534423 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:29.381726 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:28.547960 End time: 2023-01-24 16:54:29.381726 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:30.177719 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:29.392627 End time: 2023-01-24 16:54:30.177719 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:31.041712 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:30.198015 End time: 2023-01-24 16:54:31.041712 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:31.883022 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:31.061229 End time: 2023-01-24 16:54:31.883022 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:32.718595 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:31.902047 End time: 2023-01-24 16:54:32.718595 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:33.590625 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:32.740599 End time: 2023-01-24 16:54:33.590625 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:34.475978 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:33.602203 End time: 2023-01-24 16:54:34.475978 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:35.379222 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:34.491982 End time: 2023-01-24 16:54:35.379222 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:36.228896 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:35.395365 End time: 2023-01-24 16:54:36.228896 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:37.064973 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:36.241608 End time: 2023-01-24 16:54:37.064973 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:37.936265 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:37.083902 End time: 2023-01-24 16:54:37.936265 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:38.822206 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:37.952362 End time: 2023-01-24 16:54:38.822206 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:39.652995 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:38.843840 End time: 2023-01-24 16:54:39.652995 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:40.497227 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:39.673580 End time: 2023-01-24 16:54:40.497227 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:41.367025 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:40.516794 End time: 2023-01-24 16:54:41.367025 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:42.216280 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:41.387898 End time: 2023-01-24 16:54:42.216280 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:43.153916 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:42.238235 End time: 2023-01-24 16:54:43.153916 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:44.028729 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:43.168507 End time: 2023-01-24 16:54:44.028729 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:44.833423 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:44.040075 End time: 2023-01-24 16:54:44.833423 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:45.678122 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:44.854943 End time: 2023-01-24 16:54:45.678122 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:46.537962 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:45.700233 End time: 2023-01-24 16:54:46.537962 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:47.447845 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:46.560104 End time: 2023-01-24 16:54:47.447845 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:54.637416 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:53.863940 End time: 2023-01-24 16:54:54.637416 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:55.390246 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:54.649415 End time: 2023-01-24 16:54:55.390246 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:56.128883 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:55.402085 End time: 2023-01-24 16:54:56.128883 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:56.904200 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:56.146916 End time: 2023-01-24 16:54:56.904200 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:57.697309 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:56.926269 End time: 2023-01-24 16:54:57.697309 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:58.457802 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:57.708483 End time: 2023-01-24 16:54:58.457802 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:59.184261 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:58.470022 End time: 2023-01-24 16:54:59.184261 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:54:59.991619 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:54:59.204478 End time: 2023-01-24 16:54:59.991619 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:00.766794 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:00.029358 End time: 2023-01-24 16:55:00.766794 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:01.544232 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:00.787979 End time: 2023-01-24 16:55:01.544232 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:02.321156 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:01.563937 End time: 2023-01-24 16:55:02.321156 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:03.095215 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:02.333202 End time: 2023-01-24 16:55:03.095215 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:03.872616 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:03.115766 End time: 2023-01-24 16:55:03.872616 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:04.616756 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:03.884092 End time: 2023-01-24 16:55:04.616756 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:05.380605 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:04.629485 End time: 2023-01-24 16:55:05.380605 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:06.124582 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:05.391742 End time: 2023-01-24 16:55:06.124582 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:06.871042 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:06.134609 End time: 2023-01-24 16:55:06.871042 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:07.620139 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:06.892963 End time: 2023-01-24 16:55:07.620139 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:08.409321 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:07.641900 End time: 2023-01-24 16:55:08.409321 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:09.177030 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:08.431228 End time: 2023-01-24 16:55:09.177030 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:09.957091 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:09.197970 End time: 2023-01-24 16:55:09.957091 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:10.731753 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:09.967161 End time: 2023-01-24 16:55:10.731753 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:11.497969 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:10.745990 End time: 2023-01-24 16:55:11.497969 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:12.239624 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:11.508762 End time: 2023-01-24 16:55:12.239624 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:13.018506 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:12.261219 End time: 2023-01-24 16:55:13.018506 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:13.770497 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:13.028538 End time: 2023-01-24 16:55:13.770497 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:14.564583 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:13.792163 End time: 2023-01-24 16:55:14.564583 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:20.219790 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:19.515716 End time: 2023-01-24 16:55:20.219790 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:20.982221 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:20.230763 End time: 2023-01-24 16:55:20.982221 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:21.734081 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:20.991921 End time: 2023-01-24 16:55:21.734081 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:22.486232 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:21.744848 End time: 2023-01-24 16:55:22.486232 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:23.248641 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:22.499528 End time: 2023-01-24 16:55:23.248641 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:24.031006 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:23.260863 End time: 2023-01-24 16:55:24.031006 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:24.833508 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:24.052965 End time: 2023-01-24 16:55:24.833508 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:25.645320 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:24.855809 End time: 2023-01-24 16:55:25.645320 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:26.446113 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:25.665695 End time: 2023-01-24 16:55:26.446113 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:27.236559 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:26.468183 End time: 2023-01-24 16:55:27.236559 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:28.027762 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:27.258212 End time: 2023-01-24 16:55:28.027762 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:28.843332 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:28.039472 End time: 2023-01-24 16:55:28.843332 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:29.581044 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:28.854143 End time: 2023-01-24 16:55:29.581044 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:30.388555 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:29.598756 End time: 2023-01-24 16:55:30.388555 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:31.131737 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:30.397788 End time: 2023-01-24 16:55:31.131737 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:31.920003 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:31.141933 End time: 2023-01-24 16:55:31.920003 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:32.702956 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:31.933933 End time: 2023-01-24 16:55:32.702956 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:33.473280 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:32.724570 End time: 2023-01-24 16:55:33.473280 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:34.309718 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:33.493782 End time: 2023-01-24 16:55:34.309718 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:35.121580 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:34.330910 End time: 2023-01-24 16:55:35.121580 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:35.926152 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:35.140735 End time: 2023-01-24 16:55:35.926152 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:36.714106 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:35.947675 End time: 2023-01-24 16:55:36.714106 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:37.541212 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:36.723741 End time: 2023-01-24 16:55:37.541212 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:38.363159 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:37.550975 End time: 2023-01-24 16:55:38.363159 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:39.126502 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:38.375301 End time: 2023-01-24 16:55:39.126502 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:39.887654 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:39.136298 End time: 2023-01-24 16:55:39.887654 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:40.642600 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:39.898328 End time: 2023-01-24 16:55:40.642600 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:47.502749 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:46.650871 End time: 2023-01-24 16:55:47.502749 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:48.307325 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:47.518209 End time: 2023-01-24 16:55:48.307325 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:49.152842 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:48.327848 End time: 2023-01-24 16:55:49.152842 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:50.020463 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:49.164644 End time: 2023-01-24 16:55:50.020463 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:50.835132 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:50.029887 End time: 2023-01-24 16:55:50.835132 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:51.649548 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:50.846684 End time: 2023-01-24 16:55:51.649548 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:52.445513 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:51.659091 End time: 2023-01-24 16:55:52.445513 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:53.270489 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:52.460300 End time: 2023-01-24 16:55:53.270489 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:54.083934 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:53.279992 End time: 2023-01-24 16:55:54.083934 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:54.978514 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:54.103950 End time: 2023-01-24 16:55:54.978514 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:55.789552 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:54.988071 End time: 2023-01-24 16:55:55.789552 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:56.642160 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:55.804236 End time: 2023-01-24 16:55:56.642160 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:57.516565 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:56.653505 End time: 2023-01-24 16:55:57.516565 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:58.366967 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:57.531766 End time: 2023-01-24 16:55:58.366967 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:55:59.239896 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:58.388472 End time: 2023-01-24 16:55:59.239896 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:00.111156 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:55:59.255582 End time: 2023-01-24 16:56:00.111156 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:01.001668 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:00.128001 End time: 2023-01-24 16:56:01.001668 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:01.826635 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:01.016817 End time: 2023-01-24 16:56:01.826635 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:02.652910 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:01.839779 End time: 2023-01-24 16:56:02.652910 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:03.564257 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:02.673773 End time: 2023-01-24 16:56:03.564257 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:04.457689 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:03.575456 End time: 2023-01-24 16:56:04.457689 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:05.314546 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:04.473109 End time: 2023-01-24 16:56:05.314546 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:06.121744 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:05.324600 End time: 2023-01-24 16:56:06.121744 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:06.954456 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:06.132200 End time: 2023-01-24 16:56:06.954456 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:07.776524 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:06.966017 End time: 2023-01-24 16:56:07.776524 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:08.630975 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:07.790610 End time: 2023-01-24 16:56:08.630975 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:09.527787 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:08.654343 End time: 2023-01-24 16:56:09.527787 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:15.499477 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:14.790906 End time: 2023-01-24 16:56:15.499477 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:16.260011 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:15.512698 End time: 2023-01-24 16:56:16.260011 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:17.019621 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:16.273494 End time: 2023-01-24 16:56:17.019621 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:17.774688 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:17.041646 End time: 2023-01-24 16:56:17.774688 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:18.542161 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:17.795037 End time: 2023-01-24 16:56:18.542161 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:19.295982 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:18.560187 End time: 2023-01-24 16:56:19.295982 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:20.065021 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:19.315278 End time: 2023-01-24 16:56:20.065021 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:20.853431 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:20.087170 End time: 2023-01-24 16:56:20.853431 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:21.627452 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:20.875250 End time: 2023-01-24 16:56:21.627452 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:22.362175 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:21.639212 End time: 2023-01-24 16:56:22.362175 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:23.109088 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:22.372203 End time: 2023-01-24 16:56:23.109088 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:23.854771 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:23.121413 End time: 2023-01-24 16:56:23.854771 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:24.608704 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:23.867779 End time: 2023-01-24 16:56:24.608704 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:25.358825 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:24.622482 End time: 2023-01-24 16:56:25.358825 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:26.145171 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:25.380951 End time: 2023-01-24 16:56:26.145171 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:26.946149 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:26.167147 End time: 2023-01-24 16:56:26.946149 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:27.677493 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:26.958535 End time: 2023-01-24 16:56:27.677493 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:28.448263 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:27.694030 End time: 2023-01-24 16:56:28.448263 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:29.206576 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:28.470136 End time: 2023-01-24 16:56:29.206576 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:29.991051 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:29.218299 End time: 2023-01-24 16:56:29.991051 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:30.799474 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:30.012707 End time: 2023-01-24 16:56:30.799474 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:31.579899 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:30.821561 End time: 2023-01-24 16:56:31.579899 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:32.334102 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:31.600645 End time: 2023-01-24 16:56:32.334102 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:33.076642 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:32.355886 End time: 2023-01-24 16:56:33.076642 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:33.852667 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:33.098282 End time: 2023-01-24 16:56:33.852667 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:34.620315 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:33.870326 End time: 2023-01-24 16:56:34.620315 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:35.354067 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:34.631901 End time: 2023-01-24 16:56:35.354067 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:41.012451 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:40.280930 End time: 2023-01-24 16:56:41.012451 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:41.694225 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:41.022751 End time: 2023-01-24 16:56:41.694225 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:42.454216 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:41.714660 End time: 2023-01-24 16:56:42.454216 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:43.210592 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:42.471243 End time: 2023-01-24 16:56:43.210592 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:43.995580 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:43.222582 End time: 2023-01-24 16:56:43.995580 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:44.762711 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:44.016048 End time: 2023-01-24 16:56:44.762711 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:45.488576 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:44.781128 End time: 2023-01-24 16:56:45.488576 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:46.222013 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:45.498580 End time: 2023-01-24 16:56:46.222013 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:46.967600 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:46.235618 End time: 2023-01-24 16:56:46.967600 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:47.680015 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:46.984492 End time: 2023-01-24 16:56:47.680015 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:48.380403 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:47.697512 End time: 2023-01-24 16:56:48.380403 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:49.075280 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:48.396553 End time: 2023-01-24 16:56:49.075280 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:49.808439 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:49.091330 End time: 2023-01-24 16:56:49.808439 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:50.515599 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:49.826255 End time: 2023-01-24 16:56:50.515599 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:51.229012 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:50.530578 End time: 2023-01-24 16:56:51.229012 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:51.968659 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:51.245598 End time: 2023-01-24 16:56:51.968659 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:52.684346 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:51.984550 End time: 2023-01-24 16:56:52.684346 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:53.421474 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:52.701722 End time: 2023-01-24 16:56:53.421474 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:54.144023 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:53.438693 End time: 2023-01-24 16:56:54.144023 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:54.894956 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:54.156213 End time: 2023-01-24 16:56:54.894956 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:55.616704 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:54.911896 End time: 2023-01-24 16:56:55.616704 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:56.306245 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:55.626271 End time: 2023-01-24 16:56:56.306245 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:57.052039 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:56.326649 End time: 2023-01-24 16:56:57.052039 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:57.756072 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:57.061852 End time: 2023-01-24 16:56:57.756072 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:58.477567 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:57.772817 End time: 2023-01-24 16:56:58.477567 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:59.197138 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:58.494711 End time: 2023-01-24 16:56:59.197138 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:56:59.923860 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:56:59.213868 End time: 2023-01-24 16:56:59.923860 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:05.685210 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:04.933840 End time: 2023-01-24 16:57:05.685210 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:06.435916 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:05.701937 End time: 2023-01-24 16:57:06.435916 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:07.188002 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:06.456099 End time: 2023-01-24 16:57:07.188002 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:07.960098 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:07.208601 End time: 2023-01-24 16:57:07.960098 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:08.692676 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:07.976779 End time: 2023-01-24 16:57:08.692676 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:09.474501 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:08.715345 End time: 2023-01-24 16:57:09.474501 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:10.171893 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:09.483937 End time: 2023-01-24 16:57:10.171893 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:10.906442 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:10.182495 End time: 2023-01-24 16:57:10.906442 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:11.647276 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:10.922741 End time: 2023-01-24 16:57:11.647276 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:12.401579 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:11.656619 End time: 2023-01-24 16:57:12.401579 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:13.170706 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:12.420835 End time: 2023-01-24 16:57:13.170706 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:13.891878 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:13.181808 End time: 2023-01-24 16:57:13.891878 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:14.612973 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:13.907722 End time: 2023-01-24 16:57:14.612973 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:15.380652 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:14.630642 End time: 2023-01-24 16:57:15.380652 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:16.119442 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:15.397436 End time: 2023-01-24 16:57:16.119442 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:16.854138 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:16.128816 End time: 2023-01-24 16:57:16.854138 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:17.609088 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:16.871575 End time: 2023-01-24 16:57:17.609088 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:18.341514 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:17.618604 End time: 2023-01-24 16:57:18.341514 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:19.072260 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:18.354114 End time: 2023-01-24 16:57:19.072260 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:19.808169 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:19.088592 End time: 2023-01-24 16:57:19.808169 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:20.605290 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:19.829731 End time: 2023-01-24 16:57:20.605290 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:21.331791 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:20.616648 End time: 2023-01-24 16:57:21.331791 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:22.113495 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:21.353561 End time: 2023-01-24 16:57:22.113495 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:22.865993 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:22.123800 End time: 2023-01-24 16:57:22.865993 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:23.625936 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:22.887598 End time: 2023-01-24 16:57:23.625936 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:24.391751 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:23.645921 End time: 2023-01-24 16:57:24.391751 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:25.169545 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 16:57:24.413194 End time: 2023-01-24 16:57:25.169545 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:57:36.451307 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:57:31.620207 End time: 2023-01-24 16:57:36.451307 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:59:22.289242 :: 129 :: applycal :: Task applycal complete. Start time: 2023-01-24 16:57:36.458592 End time: 2023-01-24 16:59:22.289242 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:59:26.965121 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:59:22.344929 End time: 2023-01-24 16:59:26.965121 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:59:44.073855 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:59:26.985460 End time: 2023-01-24 16:59:44.073855 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:59:49.035096 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 16:59:46.494664 End time: 2023-01-24 16:59:49.035096 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 16:59:59.455829 :: 129 :: mstransform :: Task mstransform complete. Start time: 2023-01-24 16:59:49.049523 End time: 2023-01-24 16:59:59.455829 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 17:00:00.802595 :: 129 :: flagmanager :: Task flagmanager complete. Start time: 2023-01-24 16:59:59.625531 End time: 2023-01-24 17:00:00.802595 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 17:00:36.705907 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:00:00.937080 End time: 2023-01-24 17:00:36.705907 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 17:01:08.330254 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:00:36.740334 End time: 2023-01-24 17:01:08.330254 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 17:01:15.031005 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:01:08.349695 End time: 2023-01-24 17:01:15.031005 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 17:01:49.246443 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:01:15.119766 End time: 2023-01-24 17:01:49.246443 |
| 24-Jan-2023 12:29:22 | INFO log:task_logging.py:28 2023-01-24 17:02:20.734623 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:01:49.275277 End time: 2023-01-24 17:02:20.734623 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:02:27.265434 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:02:20.758327 End time: 2023-01-24 17:02:27.265434 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:02:54.960997 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:02:27.347542 End time: 2023-01-24 17:02:54.960997 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:03:01.517665 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:02:54.980203 End time: 2023-01-24 17:03:01.517665 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:03:29.366193 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:03:01.599187 End time: 2023-01-24 17:03:29.366193 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:03:36.035890 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:03:29.387274 End time: 2023-01-24 17:03:36.035890 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:05:29.683328 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:03:36.054216 End time: 2023-01-24 17:05:29.683328 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:05:32.321334 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:05:29.722582 End time: 2023-01-24 17:05:32.321334 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:05:42.272180 :: 129 :: mstransform :: Task mstransform complete. Start time: 2023-01-24 17:05:32.335172 End time: 2023-01-24 17:05:42.272180 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:05:47.640785 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:05:44.536005 End time: 2023-01-24 17:05:47.640785 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:05:51.773437 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:05:47.650807 End time: 2023-01-24 17:05:51.773437 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:05:55.864916 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:05:51.783392 End time: 2023-01-24 17:05:55.864916 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:06:01.376803 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:05:56.570143 End time: 2023-01-24 17:06:01.376803 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:07:34.536510 :: 129 :: statwt :: Task statwt complete. Start time: 2023-01-24 17:06:01.383896 End time: 2023-01-24 17:07:34.536510 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:07:39.263424 :: 129 :: flagdata :: Task flagdata complete. Start time: 2023-01-24 17:07:34.556929 End time: 2023-01-24 17:07:39.263424 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:07:44.273960 :: 129 :: split :: Task split complete. Start time: 2023-01-24 17:07:39.273131 End time: 2023-01-24 17:07:44.273960 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:07:50.650987 :: 129 :: gaincal :: Task gaincal complete. Start time: 2023-01-24 17:07:44.416348 End time: 2023-01-24 17:07:50.650987 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:08:06.842888 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:07:56.466165 End time: 2023-01-24 17:08:06.842888 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:08:15.215884 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:08:06.981337 End time: 2023-01-24 17:08:15.215884 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:08:20.187535 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:08:15.230568 End time: 2023-01-24 17:08:20.187535 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:08:22.165201 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:08:20.208844 End time: 2023-01-24 17:08:22.165201 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:08:33.007527 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:08:22.188789 End time: 2023-01-24 17:08:33.007527 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:08:42.464253 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:08:33.044548 End time: 2023-01-24 17:08:42.464253 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:00.304286 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:08:42.514793 End time: 2023-01-24 17:09:00.304286 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:09.755737 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:09:00.332149 End time: 2023-01-24 17:09:09.755737 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:27.612683 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:09:09.780843 End time: 2023-01-24 17:09:27.612683 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:29.948104 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:09:27.935898 End time: 2023-01-24 17:09:29.948104 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:48.608853 :: 129 :: plotms :: Task plotms complete. Start time: 2023-01-24 17:09:30.000816 End time: 2023-01-24 17:09:48.608853 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:53.741661 :: 129 :: visstat :: Task visstat complete. Start time: 2023-01-24 17:09:53.434973 End time: 2023-01-24 17:09:53.741661 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:55.842253 :: 129 :: visstat :: Task visstat complete. Start time: 2023-01-24 17:09:53.746954 End time: 2023-01-24 17:09:55.842253 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:58.679266 :: 129 :: visstat :: Task visstat complete. Start time: 2023-01-24 17:09:55.854017 End time: 2023-01-24 17:09:58.679266 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:58.849835 :: 129 :: visstat :: Task visstat complete. Start time: 2023-01-24 17:09:58.687611 End time: 2023-01-24 17:09:58.849835 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:09:59.858291 :: 129 :: visstat :: Task visstat complete. Start time: 2023-01-24 17:09:58.854711 End time: 2023-01-24 17:09:59.858291 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:10:00.862655 :: 129 :: visstat :: Task visstat complete. Start time: 2023-01-24 17:09:59.864010 End time: 2023-01-24 17:10:00.862655 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:12:03.726331 :: 129 :: tclean :: Task tclean complete. Start time: 2023-01-24 17:10:58.357939 End time: 2023-01-24 17:12:03.726331 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:18:37.450668 :: 129 :: tclean :: Task tclean complete. Start time: 2023-01-24 17:12:04.337957 End time: 2023-01-24 17:18:37.450668 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:19:04.773804 :: 129 :: tclean :: Task tclean complete. Start time: 2023-01-24 17:18:40.989925 End time: 2023-01-24 17:19:04.773804 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:20:17.479337 :: 129 :: tclean :: Task tclean complete. Start time: 2023-01-24 17:19:05.462127 End time: 2023-01-24 17:20:17.479337 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:20:36.102611 :: 129 :: flagmanager :: Task flagmanager complete. Start time: 2023-01-24 17:20:34.794105 End time: 2023-01-24 17:20:36.102611 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:20:50.799000 :: 129 :: exportfits :: Task exportfits complete. Start time: 2023-01-24 17:20:50.765832 End time: 2023-01-24 17:20:50.799000 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:20:50.865086 :: 129 :: exportfits :: Task exportfits complete. Start time: 2023-01-24 17:20:50.821362 End time: 2023-01-24 17:20:50.865086 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:20:50.912996 :: 129 :: exportfits :: Task exportfits complete. Start time: 2023-01-24 17:20:50.882851 End time: 2023-01-24 17:20:50.912996 |
| 24-Jan-2023 12:29:23 | INFO log:task_logging.py:28 2023-01-24 17:20:50.974613 :: 129 :: exportfits :: Task exportfits complete. Start time: 2023-01-24 17:20:50.931465 End time: 2023-01-24 17:20:50.974613 |
| 24-Jan-2023 12:29:23 | =============================== warnings summary =============================== |
| 24-Jan-2023 12:29:23 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedlist.py:10 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedlist.py:10: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedset.py:6 |
| 24-Jan-2023 12:29:23 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedset.py:6 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedset.py:6: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:8 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:8: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:9 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:9: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:10 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:10: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/extern/findContinuum.py:216 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/findContinuum.py:216: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated. |
| 24-Jan-2023 12:29:23 | from scipy.ndimage.filters import gaussian_filter |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/hifa/tasks/fluxscale/qa.py:622 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifa/tasks/fluxscale/qa.py:622: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | 'boolean': numpy.bool, |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py:245 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/infrastructure/utils/regression-tester.py:245: SyntaxWarning: "is" with a literal. Did you mean "=="? |
| 24-Jan-2023 12:29:23 | if telescope is 'alma': |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py:247 |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/infrastructure/utils/regression-tester.py:247: SyntaxWarning: "is" with a literal. Did you mean "=="? |
| 24-Jan-2023 12:29:23 | elif telescope is 'vla': |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/tasks/rawflagchans/rawflagchans.py:244: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | data = np.zeros([len(corrs), nchans, nbaselines], np.complex) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/tasks/rawflagchans/rawflagchans.py:245: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | ndata = np.zeros([len(corrs), nchans, nbaselines], np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 85 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | self.flag_reason_plane = np.zeros(np.shape(data), np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 85 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:81: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | self.nodata = np.zeros(np.shape(self.data), np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 69 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/viewflaggers.py:483: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | flag_reason = np.zeros(np.shape(flag), np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 85 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/image.py:302: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | sentinelvalues = np.array(list(sentinel_set), np.float) + 10.0 |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 85 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/image.py:316: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | sentinel_mask = np.zeros(np.shape(data), np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 49367 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/image.py:638: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | sentinel_mask = np.zeros(np.shape(value), np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 69 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/image.py:190: PendingDeprecationWarning: The set_constrained_layout_pads function will be deprecated in a future version. Use figure.get_layout_engine().set() instead. |
| 24-Jan-2023 12:29:23 | fig.set_constrained_layout_pads(w_pad=0.02, h_pad=0.02) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 11 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/heuristics/findrefant.py:668: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | far = numpy.array(list(distance.values()), numpy.float) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 11 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/heuristics/findrefant.py:915: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | nGood = numpy.array(list(good.values()), numpy.float) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 79 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/casatasks/private/task_plotbandpass.py:7094: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | type(selectedValues) == np.int): |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 2335 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:144: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | self.nodata = np.zeros(np.shape(self.data), np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 2335 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:149: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | self.noisychannels = np.zeros(np.shape(self.data), np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 40 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1216: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | stackmedianflag = np.ones(np.shape(spectrumstack)[1], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 68 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:114: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | self.flag = np.zeros(np.shape(data), np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 40 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1235: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | flag = np.ones([antenna_ids[-1]+1, len(times)], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1438: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | stackmedianflag = np.ones(np.shape(spectrumstack)[1], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1455: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | flag = np.ones([antenna_ids[-1]+1, len(times)], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 16 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1753: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | stackmedianflag = np.ones(np.shape(spectrumstack)[1], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1645: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | flag = np.ones([antenna_ids[-1]+1, len(times)], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1846: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | spw_medianflag = np.ones(np.shape(spw_spectrumstack)[1], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 31 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1860: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | ant_medianflag = np.ones(np.shape(ant_spectrumstack[antenna_id])[1], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1314: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | stackmedianflag = np.ones(np.shape(spectrumstack)[1], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1333: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | flag = np.ones([antenna_ids[-1]+1, len(times)], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/viewflaggers.py:796: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | num_flagged = np.zeros([np.shape(data)[1]], np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 80 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/viewflaggers.py:817: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | i2flag = np.zeros([0], np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 80 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/viewflaggers.py:818: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | j2flag = np.zeros([0], np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3432: RuntimeWarning: Mean of empty slice. |
| 24-Jan-2023 12:29:23 | return _methods._mean(a, axis=axis, dtype=dtype, |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars |
| 24-Jan-2023 12:29:23 | ret = ret.dtype.type(ret / rcount) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/slice.py:264: MatplotlibDeprecationWarning: Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed. |
| 24-Jan-2023 12:29:23 | plt.subplot(nplots, 1, plotnumber) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 26 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/arrayflaggerbase.py:309: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | result = np.array([], np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/tasks/lowgainflag/lowgainflag.py:469: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | flag = np.ones([nants, len(scans)], np.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/ma/core.py:851: RuntimeWarning: underflow encountered in multiply |
| 24-Jan-2023 12:29:23 | return umath.absolute(a) * self.tolerance >= umath.absolute(b) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 65 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/PIPE692.py:539: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | over = np.int(np.round(over / diffTime)) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/fromnumeric.py:758: UserWarning: Warning: 'partition' will ignore the 'mask' of the MaskedArray. |
| 24-Jan-2023 12:29:23 | a.partition(kth, axis=axis, kind=kind, order=order) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 26 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/manifest.py:59: DeprecationWarning: This method will be removed in future versions. Use 'list(elem)' or iteration over elem instead. |
| 24-Jan-2023 12:29:23 | return self.piperesults.getchildren()[0] |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__PPR__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/importdata/reader.py:650: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | NchanArray = numpy.fromiter((nchan_map[n] for n in Tif), dtype=numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:265: RuntimeWarning: Degrees of freedom <= 0 for slice |
| 24-Jan-2023 12:29:23 | ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:223: RuntimeWarning: invalid value encountered in divide |
| 24-Jan-2023 12:29:23 | arrmean = um.true_divide(arrmean, div, out=arrmean, casting='unsafe', |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:257: RuntimeWarning: invalid value encountered in double_scalars |
| 24-Jan-2023 12:29:23 | ret = ret.dtype.type(ret / rcount) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:277: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | index_ra = numpy.array((ras - min_ra) * igrid_ra_corr, dtype=numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:278: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | index_dec = numpy.array((decs - min_dec) * igrid_dec, dtype=numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:281: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | counter = numpy.zeros((ngrid_ra, ngrid_dec), dtype=numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:428: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | StorageOut = numpy.zeros((nrow, nchan), dtype=numpy.complex) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:430: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | StorageNumSp = numpy.zeros((nrow), dtype=numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:431: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | StorageNumFlag = numpy.zeros((nrow), dtype=numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 41006 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/heuristics/linefinder.py:67: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | mask = np.array(mask, np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 41006 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/heuristics/linefinder.py:85: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | previous_line_indeces = np.array([], np.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 35148 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/detection.py:387: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | return numpy.array([data[i:i+Bin].mean() for i in range(offset, len(data)-Bin+1, Bin)], dtype=numpy.float) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 35148 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/detection.py:368: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | return numpy.array([data[i:i+Bin].min() for i in range(offset, len(data)-Bin+1, Bin)], dtype=numpy.bool) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1379: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | Data = numpy.zeros((Obs.shape[0], NumParam), numpy.float) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1383: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | Factor = numpy.ones(NumParam, numpy.float) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1259: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | tmp = numpy.zeros((Data.shape[0]+Repeat*2, Data.shape[1]), numpy.float) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1427: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | Range = numpy.zeros((C, 5), numpy.float) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1428: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | Stdev = numpy.zeros((C, 5), numpy.float) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/heuristics/fitorder.py:48: RuntimeWarning: invalid value encountered in double_scalars |
| 24-Jan-2023 12:29:23 | average = (spectrum * flag).sum() / float(flag.sum()) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 116 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:412: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | statistics_array = dict((p, numpy.zeros((5, output_array_size), dtype=numpy.float)) for p in polids) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 4760 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:516: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | RmaskOld = numpy.zeros(NCHAN, numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 4760 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:518: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | RmaskNew = numpy.zeros(NCHAN, numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 4760 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:552: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | LmaskOld = numpy.zeros(NCHAN, numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 4760 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:554: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | LmaskNew = numpy.zeros(NCHAN, numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 116 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:688: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | mask = numpy.ones((Nflag, Ndata), numpy.int) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 232 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/flagsummary.py:220: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | NPprows[key] = np.zeros( NROW, dtype=np.int ) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 232 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/flagsummary.py:221: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | NPptime[key] = np.zeros( NROW, dtype=np.float ) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 928 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/flagsummary.py:229: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | NPpdata[key] = np.zeros( NROW, dtype=np.float ) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 928 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/flagsummary.py:230: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | NPpflag[key] = np.zeros( NROW, dtype=np.int ) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/SDFlagPlotter.py:457: UserWarning: Attempting to set identical low and high ylims makes transformation singular; automatically expanding. |
| 24-Jan-2023 12:29:23 | ax[pol].axis( [xmin, xmax, ylim[0], ylim[1]] ) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sensitivity_improvement.py:230: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead |
| 24-Jan-2023 12:29:23 | LOG.warn("This is pre-Cycle 3 data, thus the averaging is not definitely known. I will instead use 1") |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__PPR__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/detectcontamination.py:237: RuntimeWarning: invalid value encountered in divide |
| 24-Jan-2023 12:29:23 | peak_sn = (np.nanmax(cube_regrid, axis=0)) / rms_map |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__PPR__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/detectcontamination.py:262: RuntimeWarning: invalid value encountered in divide |
| 24-Jan-2023 12:29:23 | peak_sn2 = (np.nanmax(cube_regrid, axis=0)) / rms_map |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 19 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/display.py:1435: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | ROWS = numpy.zeros(NH * NV * NhPanel * NvPanel, dtype=numpy.int) - 1 |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 99 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/display.py:100: MatplotlibDeprecationWarning: The draw_all function was deprecated in Matplotlib 3.6 and will be removed two minor releases later. Use fig.draw_without_rendering() instead. |
| 24-Jan-2023 12:29:23 | colorbar.draw_all() |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 30 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/display.py:695: RuntimeWarning: Mean of empty slice. |
| 24-Jan-2023 12:29:23 | Plot[x][y] = valid_sp.mean(axis=0) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 30 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:182: RuntimeWarning: invalid value encountered in divide |
| 24-Jan-2023 12:29:23 | ret = um.true_divide( |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/display.py:843: RuntimeWarning: invalid value encountered in divide |
| 24-Jan-2023 12:29:23 | data_weight_integ = numpy.ma.masked_array((data_integ / weight_integ), [not val for val in mask_integ], |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/syspower/syspower.py:298: RuntimeWarning: invalid value encountered in divide |
| 24-Jan-2023 12:29:23 | pdrq = p_diff / (rq ** 2) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 216 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/syspower/syspower.py:73: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | window_size = np.abs(np.int(window_size)) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 216 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/syspower/syspower.py:74: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 24-Jan-2023 12:29:23 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:23 | order = np.abs(np.int(order)) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py: 216 warnings |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/matrixlib/defmatrix.py:69: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. |
| 24-Jan-2023 12:29:23 | return matrix(data, dtype=dtype, copy=False) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/shape_base.py:65: UserWarning: Warning: converting a masked element to nan. |
| 24-Jan-2023 12:29:23 | ary = asanyarray(ary) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:23 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/matplotlib/text.py:693: UserWarning: Warning: converting a masked element to nan. |
| 24-Jan-2023 12:29:23 | posy = float(self.convert_yunits(self._y)) |
| 24-Jan-2023 12:29:23 | |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:23 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:53 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.3-26-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/casatasks/private/task_flagdata.py:571: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison |
| 24-Jan-2023 12:29:53 | if v == '': |
| 24-Jan-2023 12:29:53 | |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:53 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/fluxscale/fluxbootdisplay.py:328: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. |
| 24-Jan-2023 12:29:53 | ax1.set_xlim(np.log10(np.array([minxlim, maxxlim]))) |
| 24-Jan-2023 12:29:53 | |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:53 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/fluxscale/fluxbootdisplay.py:338: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. |
| 24-Jan-2023 12:29:53 | ax2.set_xlim(np.log10(np.array([minxlim, maxxlim]))) |
| 24-Jan-2023 12:29:53 | |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:53 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/fluxscale/fluxbootdisplay.py:218: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. |
| 24-Jan-2023 12:29:53 | ax1.set_xlim(np.log10(np.array([minxlim, maxxlim]))) |
| 24-Jan-2023 12:29:53 | |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:53 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/fluxscale/fluxbootdisplay.py:226: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. |
| 24-Jan-2023 12:29:53 | ax2.set_xlim(np.log10(np.array([minxlim, maxxlim]))) |
| 24-Jan-2023 12:29:53 | |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py: 726 warnings |
| 24-Jan-2023 12:29:53 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/statwt/renderer.py:107: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 24-Jan-2023 12:29:53 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 24-Jan-2023 12:29:53 | summary = np.array(whole[stat], dtype=np.float) |
| 24-Jan-2023 12:29:53 | |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py: 21 warnings |
| 24-Jan-2023 12:29:53 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/statwt/renderer.py:162: PendingDeprecationWarning: The get_cmap function will be deprecated in a future version. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead. |
| 24-Jan-2023 12:29:53 | cmap=cm.get_cmap(name='Reds') |
| 24-Jan-2023 12:29:53 | |
| 24-Jan-2023 12:29:53 | pipeline/infrastructure/utils/regression-tester.py: 33 warnings |
| 24-Jan-2023 12:29:53 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/statwt/renderer.py:164: PendingDeprecationWarning: The get_cmap function will be deprecated in a future version. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead. |
| 24-Jan-2023 12:29:53 | cmap=cm.get_cmap(name='Blues') |
| 24-Jan-2023 12:29:53 | |
| 24-Jan-2023 12:29:53 | -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html |
| 24-Jan-2023 12:29:53 | - generated xml file: /home/casatest/casa-build-utils/pipeline/workdir/pipeline_regression_test_result.xml - |
| 24-Jan-2023 12:29:53 | =========================== short test summary info ============================ |
| 24-Jan-2023 12:29:53 | FAILED pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 24-Jan-2023 12:29:53 | FAILED pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 24-Jan-2023 12:29:53 | FAILED pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 24-Jan-2023 12:29:53 | ==== 3 failed, 5 passed, 1 skipped, 230951 warnings in 20359.64s (5:39:19) ===== |
| 24-Jan-2023 12:29:53 | Telemetry initialized. Telemetry will send anonymized usage statistics to NRAO. |
| 24-Jan-2023 12:29:53 | You can disable telemetry by adding the following line to the config.py file in your rcdir (e.g. ~/.casa/config.py): |
| 24-Jan-2023 12:29:53 | telemetry_enabled = False |
| 24-Jan-2023 12:29:53 | 2023-01-24 17:29:24 INFO ::casa Terminating casaplotms, PID: 155 |
| 24-Jan-2023 12:29:53 | 2023-01-24 17:29:24 INFO ::casa Finished shutting down casaplotms. Poll return code: -9, PID: 155 |
| 24-Jan-2023 12:29:53 | 0 |
| 24-Jan-2023 12:30:00 | Finished task 'Test' with result: Success |
| 24-Jan-2023 12:30:00 | Starting task 'JUnit Parser' of type 'com.atlassian.bamboo.plugins.testresultparser:task.testresultparser.junit' |
| 24-Jan-2023 12:30:00 | Parsing test results under /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-TPM-JOB1... |
| 24-Jan-2023 12:30:00 | Failing task since 3 failing test cases were found. |
| 24-Jan-2023 12:30:00 | Finished task 'JUnit Parser' with result: Failed |
| 24-Jan-2023 12:30:00 | Starting task 'Cleanup' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script' |
| 24-Jan-2023 12:30:00 | Beginning to execute external process for build 'Pipeline - Pipeline Main with Casa Master Test - Test Linux #126 (PIPE-TPM-JOB1-126)' ... running command line: /export/home/cbt-pipeline-test/ci-workspace/bamboohome/temp/PIPE-TPM-JOB1-126-ScriptBuildTask-4638879977428089946.sh ... in: /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-TPM-JOB1 |
| 24-Jan-2023 12:30:00 | Starting cleanup |
| 24-Jan-2023 12:30:00 | Error response from daemon: No such container: pipeline-test |
| 24-Jan-2023 12:30:00 | Error: No such container: pipeline-test |
| 24-Jan-2023 12:30:00 | Cleanup complete |
| 24-Jan-2023 12:30:00 | Finished task 'Cleanup' with result: Success |
| 24-Jan-2023 12:30:00 | Running post build plugin 'Docker Container Cleanup' |
| 24-Jan-2023 12:30:00 | Beginning to execute external process for build 'Pipeline - Pipeline Main with Casa Master Test - Test Linux #126 (PIPE-TPM-JOB1-126)' ... running command line: /usr/bin/docker rm -f pipelinetest ... in: /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-TPM-JOB1 |
| 24-Jan-2023 12:30:22 | pipelinetest |
| 24-Jan-2023 12:30:22 | Running post build plugin 'NCover Results Collector' |
| 24-Jan-2023 12:30:22 | Running post build plugin 'Clover Results Collector' |
| 24-Jan-2023 12:30:22 | Running post build plugin 'npm Cache Cleanup' |
| 24-Jan-2023 12:30:22 | Running post build plugin 'Artifact Copier' |
| 24-Jan-2023 12:30:22 | Publishing an artifact: Unit Test Result xml |
| 24-Jan-2023 12:30:22 | Finished publishing of artifact Required shared artifact: [Unit Test Result xml], pattern: [pipeline_regression_test_result.xml] anchored at: [pkgout/] in 571.9 ms |
| 24-Jan-2023 12:30:22 | Publishing an artifact: Regression Test Result |
| 24-Jan-2023 12:30:23 | Finished publishing of artifact Required shared artifact: [Regression Test Result], pattern: [pipeline_unit_test_result.xml] anchored at: [pkgout/] in 50.29 ms |
| 24-Jan-2023 12:30:23 | Finalising the build... |
| 24-Jan-2023 12:30:23 | Stopping timer. |
| 24-Jan-2023 12:30:23 | Build PIPE-TPM-JOB1-126 completed. |
| 24-Jan-2023 12:30:23 | Running on server: post build plugin 'NCover Results Collector' |
| 24-Jan-2023 12:30:23 | Running on server: post build plugin 'Build Hanging Detection Configuration' |
| 24-Jan-2023 12:30:23 | Running on server: post build plugin 'Clover Delta Calculator' |
| 24-Jan-2023 12:30:23 | Running on server: post build plugin 'Maven Dependencies Postprocessor' |
| 24-Jan-2023 12:30:23 | All post build plugins have finished |
| 24-Jan-2023 12:30:23 | Generating build results summary... |
| 24-Jan-2023 12:30:23 | Saving build results to disk... |
| 24-Jan-2023 12:30:23 | Store variable context... |
| 24-Jan-2023 12:30:23 | Indexing build results... |
| 24-Jan-2023 12:30:23 | Finished building PIPE-TPM-JOB1-126. |