2025-04-04 02:02:27,540 - distributed.scheduler - ERROR - broadcast to tcp://10.0.130.2:38353 failed: OSError: Timed out trying to connect to tcp://10.0.130.2:38353 after 30 s
2025-04-04 02:00:26,919 - distributed.scheduler - ERROR - broadcast to tcp://10.0.134.130:46841 failed: OSError: Timed out trying to connect to tcp://10.0.134.130:46841 after 30 s
2025-04-04 01:58:17,871 - distributed.scheduler - ERROR - broadcast to tcp://10.0.135.130:33995 failed: OSError: Timed out trying to connect to tcp://10.0.135.130:33995 after 30 s
2025-04-04 01:57:14,629 - distributed.scheduler - ERROR - broadcast to tcp://10.0.135.2:44447 failed: OSError: Timed out trying to connect to tcp://10.0.135.2:44447 after 30 s
2025-04-04 01:51:07,810 - distributed.scheduler - ERROR - broadcast to tcp://10.0.136.2:40225 failed: OSError: Timed out trying to connect to tcp://10.0.136.2:40225 after 30 s
2025-04-04 00:17:58,397 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:34613
2025-04-04 00:17:58,396 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:34613', status: running, memory: 0, processing: 0>
2025-04-04 00:15:44,434 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:42295', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743725744.4339027')
2025-04-04 00:15:29,505 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:44665
2025-04-04 00:15:29,504 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:44665', status: running, memory: 0, processing: 0>
2025-04-04 00:13:42,338 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:46841', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743725622.3385963')
2025-04-03 21:25:21,797 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:41595
2025-04-03 21:25:21,796 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:41595', status: running, memory: 0, processing: 0>
2025-04-03 21:21:44,544 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:41575', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743715304.5439746')
2025-04-03 20:45:23,446 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:41575
2025-04-03 20:45:23,445 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:41575', status: closed, memory: 0, processing: 0>
2025-04-03 20:41:08,415 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:46263', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743712868.4151244')
2025-04-03 20:33:58,454 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:46263
2025-04-03 20:33:58,454 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:46263', status: closed, memory: 0, processing: 0>
2025-04-03 20:31:25,542 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:38365', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743712285.5419836')
2025-04-03 20:26:54,787 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:38365
2025-04-03 20:26:54,786 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:38365', status: closed, memory: 0, processing: 0>
2025-04-03 20:25:11,808 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:44365', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743711911.808583')
2025-04-03 17:45:51,983 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.2:35875
2025-04-03 17:45:51,982 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.2:35875', status: running, memory: 0, processing: 0>
2025-04-03 17:44:02,625 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:45939', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743702242.6257007')
2025-04-03 16:35:21,351 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:45939
2025-04-03 16:35:21,350 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:45939', status: closed, memory: 0, processing: 0>
2025-04-03 16:34:52,139 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.2:44259', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743698092.13887')
2025-04-03 16:31:43,658 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.2:44259
2025-04-03 16:31:43,657 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.2:44259', status: closed, memory: 0, processing: 0>
2025-04-03 16:29:54,124 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:33995', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743697794.1246626')
2025-04-03 15:41:23,732 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:44365
2025-04-03 15:41:23,732 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:44365', status: closed, memory: 0, processing: 0>
2025-04-03 15:37:41,556 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.2:44447', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743694661.5560148')
2025-04-03 15:04:37,068 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:42295
2025-04-03 15:04:37,067 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:42295', status: closed, memory: 0, processing: 0>
2025-04-03 15:02:09,760 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:40225', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743692529.7600875')
2025-04-03 14:54:53,849 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:45181
2025-04-03 14:54:53,849 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:45181', status: running, memory: 0, processing: 0>
2025-04-03 14:53:01,230 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:41649', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743691981.2305994')
2025-04-03 14:07:00,289 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:41649
2025-04-03 14:07:00,288 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:41649', status: closed, memory: 0, processing: 0>
2025-04-03 14:04:48,844 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:38353', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743689088.8441312')
2025-04-03 04:21:32,034 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:46841
2025-04-03 04:21:32,032 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:46841', status: closed, memory: 0, processing: 0>
2025-04-03 04:19:47,064 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:46475', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743653987.0640092')
2025-04-03 01:45:34,728 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:46475
2025-04-03 01:45:34,727 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:46475', status: closed, memory: 0, processing: 0>
2025-04-03 01:43:46,848 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:44053', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743644626.8482294')
2025-04-02 20:43:30,317 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:38353
2025-04-02 20:43:30,317 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:38353', status: closed, memory: 0, processing: 0>
2025-04-02 20:40:52,852 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:39785', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743626452.8526073')
2025-04-02 20:07:31,793 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:39785
2025-04-02 20:07:31,792 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:39785', status: closed, memory: 0, processing: 0>
2025-04-02 20:04:51,296 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:45177', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743624291.2962387')
2025-04-02 20:03:57,491 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:45177
2025-04-02 20:03:57,490 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:45177', status: closed, memory: 0, processing: 0>
2025-04-02 20:02:17,526 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:45379', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743624137.5264797')
2025-04-02 19:19:28,298 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:44053
2025-04-02 19:19:28,297 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:44053', status: closed, memory: 0, processing: 0>
2025-04-02 19:17:43,806 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:45995', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743621463.806213')
2025-04-02 19:07:51,455 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:45379
2025-04-02 19:07:51,454 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:45379', status: closed, memory: 0, processing: 0>
2025-04-02 19:05:48,699 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:33751', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743620748.6994143')
2025-04-02 19:04:26,132 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:33751
2025-04-02 19:04:26,132 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:33751', status: closed, memory: 0, processing: 0>
2025-04-02 19:03:59,983 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.138.2:43311', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743620639.9833586')
2025-04-02 19:03:02,801 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:45995
2025-04-02 19:03:02,800 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:45995', status: closed, memory: 0, processing: 0>
2025-04-02 19:00:34,484 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:46623', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743620434.4839275')
2025-04-02 18:34:22,089 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:46623
2025-04-02 18:34:22,088 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:46623', status: closed, memory: 0, processing: 0>
2025-04-02 18:31:57,304 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:45899', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743618717.3038769')
2025-04-02 17:34:01,584 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:45899
2025-04-02 17:34:01,583 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:45899', status: closed, memory: 0, processing: 0>
2025-04-02 17:31:32,469 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:39603', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743615092.469008')
2025-04-02 17:06:42,581 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:39603
2025-04-02 17:06:42,580 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:39603', status: closed, memory: 0, processing: 0>
2025-04-02 17:02:26,720 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.138.2:43311
2025-04-02 17:02:26,718 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.138.2:43311', status: closed, memory: 0, processing: 0>
2025-04-02 17:02:25,840 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:35419', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743613345.8401625')
2025-04-02 17:01:39,215 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:35419
2025-04-02 17:01:39,214 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:35419', status: closed, memory: 0, processing: 0>
2025-04-02 16:59:54,563 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:34569', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743613194.5637634')
2025-04-02 16:59:15,228 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:36569', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743613155.2280333')
2025-04-02 16:48:08,617 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:34569
2025-04-02 16:48:08,616 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:34569', status: closed, memory: 0, processing: 0>
2025-04-02 16:44:39,096 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:36757', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743612279.0967999')
2025-04-02 16:31:32,664 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:36569
2025-04-02 16:31:32,664 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:36569', status: closed, memory: 0, processing: 0>
2025-04-02 16:29:48,513 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:46681', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743611388.5131094')
2025-04-02 16:16:19,554 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:46681
2025-04-02 16:16:19,553 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:46681', status: closed, memory: 0, processing: 0>
2025-04-02 16:15:35,280 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:33995
2025-04-02 16:15:35,279 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:33995', status: closed, memory: 0, processing: 0>
2025-04-02 16:14:05,100 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:40225
2025-04-02 16:14:05,099 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:40225', status: closed, memory: 0, processing: 0>
2025-04-02 16:10:58,215 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:40529', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743610258.2153876')
2025-04-02 16:09:37,439 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:34307', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743610177.4395573')
2025-04-02 16:03:56,623 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.138.2:43947', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743609836.623449')
2025-04-02 16:02:09,844 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:34307
2025-04-02 16:02:09,843 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:34307', status: closed, memory: 0, processing: 0>
2025-04-02 16:01:05,637 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.138.2:43947
2025-04-02 16:01:05,636 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.138.2:43947', status: closed, memory: 0, processing: 0>
2025-04-02 16:00:59,314 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:40529
2025-04-02 16:00:59,313 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:40529', status: closed, memory: 0, processing: 0>
2025-04-02 15:59:41,742 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:39735', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743609581.7424197')
2025-04-02 15:58:35,677 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:36625', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743609515.676863')
2025-04-02 15:58:35,527 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:39897', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743609515.5271575')
2025-04-02 15:52:42,053 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:39735
2025-04-02 15:52:42,052 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:39735', status: closed, memory: 0, processing: 0>
2025-04-02 15:48:23,959 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:33145', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743608903.959334')
2025-04-02 15:42:48,995 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:33145
2025-04-02 15:42:48,994 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:33145', status: closed, memory: 0, processing: 0>
2025-04-02 15:39:10,403 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:33501', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743608350.4032402')
2025-04-02 04:52:57,207 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:39897
2025-04-02 04:52:57,206 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:39897', status: closed, memory: 0, processing: 0>
2025-04-02 04:51:13,077 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:45051', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743569473.0774717')
2025-04-01 18:02:20,268 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.2:37497
2025-04-01 18:02:20,267 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.2:37497', status: running, memory: 0, processing: 0>
2025-04-01 17:58:10,366 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.131.2:41599', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743530290.3659298')
2025-04-01 17:46:14,704 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.2:41599
2025-04-01 17:46:14,703 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.2:41599', status: closed, memory: 0, processing: 0>
2025-04-01 17:43:51,488 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.131.2:40675', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743529431.4884725')
2025-04-01 15:43:10,917 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.2:40675
2025-04-01 15:43:10,916 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.2:40675', status: closed, memory: 0, processing: 0>
2025-04-01 15:39:32,936 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:44357', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743521972.9367177')
2025-04-01 15:07:04,552 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:44357
2025-04-01 15:07:04,552 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:44357', status: closed, memory: 0, processing: 0>
2025-04-01 15:05:24,288 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.131.2:46077', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743519924.2886128')
2025-04-01 14:03:07,547 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.2:46077
2025-04-01 14:03:07,546 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.2:46077', status: closed, memory: 0, processing: 0>
2025-04-01 13:58:50,688 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.131.2:44935', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743515930.688807')
2025-04-01 13:56:16,164 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.2:44935
2025-04-01 13:56:16,163 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.2:44935', status: closed, memory: 0, processing: 0>
2025-04-01 13:52:37,019 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:36575', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743515557.0198054')
2025-04-01 12:11:23,224 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:45051
2025-04-01 12:11:23,223 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:45051', status: closed, memory: 0, processing: 0>
2025-04-01 12:09:39,824 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.131.2:37211', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743509379.8247268')
2025-04-01 06:37:01,090 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:36575
2025-04-01 06:37:01,089 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:36575', status: closed, memory: 0, processing: 0>
2025-04-01 06:35:13,038 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:41171', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743489313.0380337')
2025-03-31 16:25:33,029 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:36757
2025-03-31 16:25:33,028 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:36757', status: closed, memory: 0, processing: 0>
2025-03-31 16:23:45,152 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:44341', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743438225.1519883')
2025-03-31 09:25:00,170 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:44341
2025-03-31 09:25:00,169 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:44341', status: closed, memory: 0, processing: 0>
2025-03-31 09:23:13,961 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:33517', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743412993.961606')
2025-03-31 03:28:40,452 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:33517
2025-03-31 03:28:40,452 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:33517', status: closed, memory: 0, processing: 0>
2025-03-31 03:26:49,689 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:34857', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743391609.689584')
2025-03-30 16:18:33,888 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:41171
2025-03-30 16:18:33,885 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:41171', status: closed, memory: 0, processing: 0>
2025-03-30 16:15:00,697 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:46305', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743351300.6961155')
2025-03-30 14:06:23,914 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:46305
2025-03-30 14:06:23,914 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:46305', status: closed, memory: 0, processing: 0>
2025-03-30 14:06:20,049 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:34857
2025-03-30 14:06:20,048 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:34857', status: closed, memory: 0, processing: 0>
2025-03-30 14:03:23,663 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.138.2:46047', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743343403.663864')
2025-03-30 14:03:21,585 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:45275', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743343401.5855577')
2025-03-30 03:29:51,772 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:38901
2025-03-30 03:29:51,771 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:38901', status: running, memory: 0, processing: 0>
2025-03-30 03:26:41,128 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:32849', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743305201.1286888')
2025-03-29 14:40:27,665 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:46207
2025-03-29 14:40:27,664 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:46207', status: running, memory: 0, processing: 0>
2025-03-29 14:40:22,728 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.138.2:46047
2025-03-29 14:40:22,728 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.138.2:46047', status: closed, memory: 0, processing: 0>
2025-03-29 14:38:38,462 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:33215', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743259118.462475')
2025-03-29 14:38:38,456 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:34715', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743259118.455963')
2025-03-29 14:24:32,519 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:45275
2025-03-29 14:24:32,519 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:45275', status: closed, memory: 0, processing: 0>
2025-03-29 14:22:50,811 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:41237', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743258170.811026')
2025-03-29 11:11:13,737 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:33215
2025-03-29 11:11:13,736 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:33215', status: closed, memory: 0, processing: 0>
2025-03-29 11:09:32,187 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:41293', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743246572.1869538')
2025-03-29 07:17:04,113 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:41237
2025-03-29 07:17:04,113 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:41237', status: closed, memory: 0, processing: 0>
2025-03-29 07:13:23,514 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:46819', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743232403.5145006')
2025-03-28 20:03:59,111 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:35245
2025-03-28 20:03:59,110 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:35245', status: running, memory: 0, processing: 0>
2025-03-28 20:01:34,657 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:39819', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743192094.6572247')
2025-03-28 18:09:30,996 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:39819
2025-03-28 18:09:30,995 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:39819', status: closed, memory: 0, processing: 0>
2025-03-28 18:06:55,164 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:33423', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743185215.1645346')
2025-03-28 16:17:00,104 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:32849
2025-03-28 16:17:00,104 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:32849', status: closed, memory: 0, processing: 0>
2025-03-28 16:13:29,055 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:41021', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743178409.055511')
2025-03-28 16:09:10,250 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:41021
2025-03-28 16:09:10,250 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:41021', status: closed, memory: 0, processing: 0>
2025-03-28 16:02:43,112 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:36349', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743177763.112413')
2025-03-28 15:52:27,854 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:36349
2025-03-28 15:52:27,853 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:36349', status: closed, memory: 0, processing: 0>
2025-03-28 15:50:49,132 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:39099', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743177049.131925')
2025-03-28 14:48:18,411 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:33501
2025-03-28 14:48:18,410 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:33501', status: closed, memory: 0, processing: 0>
2025-03-28 14:44:58,232 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:33423
2025-03-28 14:44:58,231 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:33423', status: closed, memory: 0, processing: 0>
2025-03-28 14:44:34,586 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:33263', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743173074.586509')
2025-03-28 14:40:13,025 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:33201', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743172813.0257478')
2025-03-28 14:36:38,692 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:33201
2025-03-28 14:36:38,691 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:33201', status: closed, memory: 0, processing: 0>
2025-03-28 14:33:48,075 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:33235', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743172428.07495')
2025-03-28 14:05:29,919 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:33235
2025-03-28 14:05:29,918 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:33235', status: closed, memory: 0, processing: 0>
2025-03-28 14:03:03,526 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:34363', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743170583.5267506')
2025-03-28 13:34:26,639 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:34363
2025-03-28 13:34:26,638 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:34363', status: closed, memory: 0, processing: 0>
2025-03-28 13:30:51,887 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:39957', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743168651.887368')
2025-03-28 12:36:30,545 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:39099
2025-03-28 12:36:30,544 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:39099', status: closed, memory: 0, processing: 0>
2025-03-28 12:34:05,263 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:34137', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743165245.2636442')
2025-03-28 10:13:34,962 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:34715
2025-03-28 10:13:34,961 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:34715', status: closed, memory: 0, processing: 0>
2025-03-28 10:09:55,463 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:40111', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743156595.463418')
2025-03-28 01:14:18,625 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:40111
2025-03-28 01:14:18,624 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:40111', status: closed, memory: 0, processing: 0>
2025-03-28 01:10:40,528 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:36189', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743124240.528646')
2025-03-27 21:22:17,620 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:36625
2025-03-27 21:22:17,619 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:36625', status: closed, memory: 0, processing: 0>
2025-03-27 21:20:34,479 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:42071', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743110434.4788084')
2025-03-27 20:10:27,462 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:46819
2025-03-27 20:10:27,460 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:46819', status: closed, memory: 0, processing: 0>
2025-03-27 20:06:49,837 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:44201', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743106009.8370056')
2025-03-27 18:54:28,108 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:44201
2025-03-27 18:54:28,107 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:44201', status: closed, memory: 0, processing: 0>
2025-03-27 18:53:32,046 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:34137
2025-03-27 18:53:32,045 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:34137', status: closed, memory: 0, processing: 0>
2025-03-27 18:51:47,209 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:40649', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743101507.2094605')
2025-03-27 18:51:45,144 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:36803', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743101505.144545')
2025-03-27 18:09:06,075 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:33263
2025-03-27 18:09:06,074 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:33263', status: closed, memory: 0, processing: 0>
2025-03-27 18:07:18,936 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:46505', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743098838.9368222')
2025-03-27 17:38:04,136 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:40649
2025-03-27 17:38:04,135 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:40649', status: closed, memory: 0, processing: 0>
2025-03-27 17:36:21,681 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:45983', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743096981.6816015')
2025-03-27 17:13:10,548 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:45983
2025-03-27 17:13:10,547 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:45983', status: closed, memory: 0, processing: 0>
2025-03-27 17:10:44,748 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.138.2:46397', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743095444.7484784')
2025-03-27 17:04:56,068 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:46505
2025-03-27 17:04:56,067 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:46505', status: closed, memory: 0, processing: 0>
2025-03-27 17:04:55,973 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.138.2:46397
2025-03-27 17:04:55,972 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.138.2:46397', status: closed, memory: 0, processing: 0>
2025-03-27 17:02:24,067 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:43071', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743094944.067811')
2025-03-27 17:01:16,444 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:40849', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743094876.4443355')
2025-03-27 16:25:59,395 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:43071
2025-03-27 16:25:59,393 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:43071', status: closed, memory: 0, processing: 0>
2025-03-27 16:23:25,216 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:45585', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743092605.2160234')
2025-03-27 16:19:44,463 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:39957
2025-03-27 16:19:44,462 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:39957', status: closed, memory: 0, processing: 0>
2025-03-27 16:17:15,342 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:35611', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743092235.3425508')
2025-03-27 15:56:49,468 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:45585
2025-03-27 15:56:49,467 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:45585', status: closed, memory: 0, processing: 0>
2025-03-27 15:54:43,527 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:40045', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743090883.5273662')
2025-03-27 14:20:58,232 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:36189
2025-03-27 14:20:58,231 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:36189', status: closed, memory: 0, processing: 0>
2025-03-27 14:18:18,258 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:40357', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743085098.2582018')
2025-03-27 14:06:29,549 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:35611
2025-03-27 14:06:29,548 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:35611', status: closed, memory: 0, processing: 0>
2025-03-27 14:03:34,303 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:36199', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743084214.3028681')
2025-03-27 13:48:57,717 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:40849
2025-03-27 13:48:57,716 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:40849', status: closed, memory: 0, processing: 0>
2025-03-27 13:46:34,957 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:46733', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743083194.9570765')
2025-03-27 13:07:00,334 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:40357
2025-03-27 13:07:00,333 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:40357', status: closed, memory: 0, processing: 0>
2025-03-27 13:05:12,314 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:46115', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743080712.3143559')
2025-03-27 11:59:33,724 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:36199
2025-03-27 11:59:33,723 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:36199', status: closed, memory: 0, processing: 0>
2025-03-27 11:56:58,057 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:34167', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743076618.0572004')
2025-03-27 11:50:30,506 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:36803
2025-03-27 11:50:30,505 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:36803', status: closed, memory: 0, processing: 0>
2025-03-27 11:48:43,528 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:46197', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743076123.5283372')
2025-03-27 08:30:13,633 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:34167
2025-03-27 08:30:13,632 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:34167', status: closed, memory: 0, processing: 0>
2025-03-27 08:27:54,994 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:37255', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743064074.994085')
2025-03-27 02:57:59,942 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:37255
2025-03-27 02:57:59,941 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:37255', status: closed, memory: 0, processing: 0>
2025-03-27 02:56:13,344 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:45737', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743044173.3443446')
2025-03-27 01:43:00,916 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:45737
2025-03-27 01:43:00,915 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:45737', status: closed, memory: 0, processing: 0>
2025-03-27 01:38:50,926 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:42425', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743039530.926739')
2025-03-26 23:17:43,337 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:42425
2025-03-26 23:17:43,336 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:42425', status: closed, memory: 0, processing: 0>
2025-03-26 23:15:26,871 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:34853', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743030926.8714917')
2025-03-26 22:55:04,859 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:46115
2025-03-26 22:55:04,857 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:46115', status: closed, memory: 0, processing: 0>
2025-03-26 22:52:38,214 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:36771', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743029558.2143373')
2025-03-26 21:30:15,861 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:40045
2025-03-26 21:30:15,860 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:40045', status: closed, memory: 0, processing: 0>
2025-03-26 21:28:00,611 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:40919', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743024480.6113286')
2025-03-26 20:12:09,445 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:40919
2025-03-26 20:12:09,443 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:40919', status: closed, memory: 0, processing: 0>
2025-03-26 20:10:21,497 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:38757', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743019821.496925')
2025-03-26 18:15:11,867 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:41293
2025-03-26 18:15:11,866 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:41293', status: closed, memory: 0, processing: 0>
2025-03-26 18:13:01,292 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:42337', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743012781.2927942')
2025-03-26 17:35:41,071 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:36771
2025-03-26 17:35:41,070 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:36771', status: closed, memory: 0, processing: 0>
2025-03-26 17:33:34,049 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.130.2:43515', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743010414.0490026')
2025-03-26 16:49:44,824 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:34853
2025-03-26 16:49:44,822 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:34853', status: closed, memory: 0, processing: 0>
2025-03-26 16:47:49,770 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:36159', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743007669.770683')
2025-03-26 16:19:39,398 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:36159
2025-03-26 16:19:39,397 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:36159', status: closed, memory: 0, processing: 0>
2025-03-26 16:17:47,723 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:34115', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743005867.7235668')
2025-03-26 15:57:08,308 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:34115
2025-03-26 15:57:08,306 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:34115', status: closed, memory: 0, processing: 0>
2025-03-26 15:55:21,756 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:39125', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743004521.7565305')
2025-03-26 15:06:18,608 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:38757
2025-03-26 15:06:18,607 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:38757', status: closed, memory: 0, processing: 0>
2025-03-26 15:03:57,304 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:45673', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1743001437.3041508')
2025-03-26 13:33:48,570 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:36951
2025-03-26 13:33:48,568 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:36951', status: running, memory: 0, processing: 0>
2025-03-26 13:31:57,428 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:38989', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742995917.4284084')
2025-03-26 12:12:23,372 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:42337
2025-03-26 12:12:23,371 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:42337', status: closed, memory: 0, processing: 0>
2025-03-26 12:11:56,626 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:46733
2025-03-26 12:11:56,625 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:46733', status: closed, memory: 0, processing: 0>
2025-03-26 12:11:29,227 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:37281', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742991089.2276592')
2025-03-26 12:09:55,299 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:42597', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742990995.2992084')
2025-03-26 09:10:25,990 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:46197
2025-03-26 09:10:25,989 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:46197', status: closed, memory: 0, processing: 0>
2025-03-26 09:08:42,374 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:42177', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742980122.3747444')
2025-03-26 07:43:10,588 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:42177
2025-03-26 07:43:10,587 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:42177', status: closed, memory: 0, processing: 0>
2025-03-26 07:41:25,131 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:42379', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742974885.1312423')
2025-03-26 04:05:11,876 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:42597
2025-03-26 04:05:11,875 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:42597', status: closed, memory: 0, processing: 0>
2025-03-26 04:03:19,177 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:40283', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742961799.1772218')
2025-03-26 02:32:46,384 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:42379
2025-03-26 02:32:46,383 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:42379', status: closed, memory: 0, processing: 0>
2025-03-26 02:30:38,700 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:41595', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742956238.7007735')
2025-03-25 23:06:11,443 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:40283
2025-03-25 23:06:11,442 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:40283', status: closed, memory: 0, processing: 0>
2025-03-25 23:00:40,156 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:43169', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742943640.1557367')
2025-03-25 20:16:07,079 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:43169
2025-03-25 20:16:07,078 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:43169', status: closed, memory: 0, processing: 0>
2025-03-25 20:13:03,691 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.138.2:38677', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742933583.6917658')
2025-03-25 19:18:05,066 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:42071
2025-03-25 19:18:05,065 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:42071', status: closed, memory: 0, processing: 0>
2025-03-25 19:16:11,783 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:32973', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742930171.7837303')
2025-03-25 18:22:16,564 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:38989
2025-03-25 18:22:16,563 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:38989', status: closed, memory: 0, processing: 0>
2025-03-25 18:20:33,453 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:42095', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742926833.453015')
2025-03-25 16:33:56,905 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:41595
2025-03-25 16:33:56,904 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:41595', status: closed, memory: 0, processing: 0>
2025-03-25 16:31:29,211 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:41059', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742920289.2113473')
2025-03-25 16:27:13,696 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:41059
2025-03-25 16:27:13,695 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:41059', status: closed, memory: 0, processing: 0>
2025-03-25 16:24:35,910 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:33933', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742919875.9106092')
2025-03-25 16:23:06,620 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:33933
2025-03-25 16:23:06,620 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:33933', status: closed, memory: 0, processing: 0>
2025-03-25 16:22:38,317 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:45125', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742919758.3172271')
2025-03-25 16:22:34,217 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.138.2:38677
2025-03-25 16:22:34,215 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.138.2:38677', status: closed, memory: 0, processing: 0>
2025-03-25 16:20:39,169 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:46023', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742919639.1688762')
2025-03-25 16:19:37,891 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:42095
2025-03-25 16:19:37,890 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:42095', status: closed, memory: 0, processing: 0>
2025-03-25 16:17:00,208 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:43387', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742919420.2087836')
2025-03-25 15:56:41,592 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:43387
2025-03-25 15:56:41,591 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:43387', status: closed, memory: 0, processing: 0>
2025-03-25 15:54:45,157 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:42089', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742918085.157692')
2025-03-25 14:36:29,960 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:37281
2025-03-25 14:36:29,959 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:37281', status: closed, memory: 0, processing: 0>
2025-03-25 14:33:31,802 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:37253', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742913211.802682')
2025-03-25 14:32:12,027 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:45125
2025-03-25 14:32:12,026 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:45125', status: closed, memory: 0, processing: 0>
2025-03-25 14:30:11,826 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:44507', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742913011.825981')
2025-03-25 13:40:50,885 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:44507
2025-03-25 13:40:50,884 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:44507', status: closed, memory: 0, processing: 0>
2025-03-25 13:38:59,840 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:42905', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742909939.840623')
2025-03-25 11:08:00,280 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:37253
2025-03-25 11:08:00,279 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:37253', status: closed, memory: 0, processing: 0>
2025-03-25 11:05:40,732 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:41203', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742900740.732022')
2025-03-25 10:33:40,480 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:42905
2025-03-25 10:33:40,480 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:42905', status: closed, memory: 0, processing: 0>
2025-03-25 10:31:46,866 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:38407', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742898706.8661668')
2025-03-25 08:09:50,711 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:38407
2025-03-25 08:09:50,710 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:38407', status: closed, memory: 0, processing: 0>
2025-03-25 08:07:19,093 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:45713', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742890039.0933433')
2025-03-25 06:44:09,159 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:41203
2025-03-25 06:44:09,158 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:41203', status: closed, memory: 0, processing: 0>
2025-03-25 06:42:07,427 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:45449', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742884927.427647')
2025-03-25 02:06:49,107 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:45713
2025-03-25 02:06:49,106 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:45713', status: closed, memory: 0, processing: 0>
2025-03-25 02:04:56,880 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:42803', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742868296.879869')
2025-03-25 01:08:29,697 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:42803
2025-03-25 01:08:29,696 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:42803', status: closed, memory: 0, processing: 0>
2025-03-25 01:06:02,078 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:40029', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742864762.078059')
2025-03-25 00:45:19,878 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:40029
2025-03-25 00:45:19,877 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:40029', status: closed, memory: 0, processing: 0>
2025-03-25 00:43:30,706 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:44461', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742863410.705835')
2025-03-24 22:54:30,174 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:32973
2025-03-24 22:54:30,171 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:32973', status: closed, memory: 0, processing: 0>
2025-03-24 22:50:54,015 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:32863', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742856654.0146892')
2025-03-24 17:17:48,083 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:39125
2025-03-24 17:17:48,082 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:39125', status: closed, memory: 0, processing: 0>
2025-03-24 17:15:18,956 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:36097', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742836518.9557252')
2025-03-24 17:03:51,018 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:36097
2025-03-24 17:03:51,017 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:36097', status: closed, memory: 0, processing: 0>
2025-03-24 17:01:19,508 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:46625', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742835679.507867')
2025-03-24 16:24:45,531 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.2:44447
2025-03-24 16:24:45,531 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.2:44447', status: closed, memory: 0, processing: 0>
2025-03-24 16:20:12,949 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.2:36649', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742833212.9492729')
2025-03-24 16:15:46,144 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.2:36649
2025-03-24 16:15:46,143 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.2:36649', status: closed, memory: 0, processing: 0>
2025-03-24 16:12:08,143 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.2:35295', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742832728.1434252')
2025-03-24 15:55:35,536 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:32863
2025-03-24 15:55:35,535 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:32863', status: closed, memory: 0, processing: 0>
2025-03-24 15:51:21,075 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:37599', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742831481.075494')
2025-03-24 15:43:16,621 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:37599
2025-03-24 15:43:16,621 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:37599', status: closed, memory: 0, processing: 0>
2025-03-24 15:41:24,092 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:37563', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742830884.09211')
2025-03-24 14:53:22,280 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:37563
2025-03-24 14:53:22,279 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:37563', status: closed, memory: 0, processing: 0>
2025-03-24 14:51:30,170 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:38529', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742827890.1707165')
2025-03-24 13:23:52,948 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:45673
2025-03-24 13:23:52,947 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:45673', status: closed, memory: 0, processing: 0>
2025-03-24 13:22:12,928 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.139.2:33207', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742822532.9287448')
2025-03-24 11:07:11,511 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:44461
2025-03-24 11:07:11,510 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:44461', status: closed, memory: 0, processing: 0>
2025-03-24 11:07:10,995 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:45449
2025-03-24 11:07:10,994 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:45449', status: closed, memory: 0, processing: 0>
2025-03-24 11:04:57,764 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.139.130:46095', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742814297.7639818')
2025-03-24 11:04:55,836 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.138.130:32965', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742814295.8362129')
2025-03-24 04:04:44,188 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.2:37211
2025-03-24 04:04:44,187 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.2:37211', status: closed, memory: 0, processing: 0>
2025-03-24 04:02:56,934 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:34193', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742788976.934649')
2025-03-23 18:32:40,196 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:34193
2025-03-23 18:32:40,195 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:34193', status: closed, memory: 0, processing: 0>
2025-03-23 18:30:42,469 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.131.2:36417', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742754642.4697447')
2025-03-23 17:07:46,158 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.2:35295
2025-03-23 17:07:46,158 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.2:35295', status: closed, memory: 0, processing: 0>
2025-03-23 17:05:47,714 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:35231', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742749547.714134')
2025-03-23 16:17:39,548 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:46625
2025-03-23 16:17:39,548 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:46625', status: closed, memory: 0, processing: 0>
2025-03-23 16:15:17,531 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.2:34131', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742746517.5311112')
2025-03-23 15:56:39,491 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:46023
2025-03-23 15:56:39,490 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:46023', status: closed, memory: 0, processing: 0>
2025-03-23 15:56:39,487 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:42089
2025-03-23 15:56:39,485 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:42089', status: closed, memory: 0, processing: 0>
2025-03-23 15:54:35,155 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.140.2:42389', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742745275.1553786')
2025-03-23 15:54:34,344 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:46057', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742745274.344582')
2025-03-23 15:38:15,670 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:35231
2025-03-23 15:38:15,669 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:35231', status: closed, memory: 0, processing: 0>
2025-03-23 15:34:48,392 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:36971', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742744088.392848')
2025-03-23 15:28:20,219 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:36971
2025-03-23 15:28:20,217 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:36971', status: closed, memory: 0, processing: 0>
2025-03-23 15:28:03,307 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.2:36417
2025-03-23 15:28:03,305 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.2:36417', status: closed, memory: 0, processing: 0>
2025-03-23 15:26:37,652 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:40945', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742743597.6521187')
2025-03-23 15:25:58,194 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.134.130:37331', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742743558.1943429')
2025-03-23 12:26:36,022 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:40945
2025-03-23 12:26:36,021 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:40945', status: closed, memory: 0, processing: 0>
2025-03-23 12:25:14,404 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:38529
2025-03-23 12:25:14,403 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:38529', status: closed, memory: 0, processing: 0>
2025-03-23 12:22:43,929 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.131.2:34351', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742732563.9290214')
2025-03-23 12:22:38,793 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.138.2:38515', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742732558.7930553')
2025-03-23 12:18:36,013 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:46057
2025-03-23 12:18:36,012 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:46057', status: closed, memory: 0, processing: 0>
2025-03-23 12:18:36,007 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.139.2:33207
2025-03-23 12:18:36,006 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.139.2:33207', status: closed, memory: 0, processing: 0>
2025-03-23 12:18:30,998 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.138.130:32965
2025-03-23 12:18:30,997 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.138.130:32965', status: closed, memory: 0, processing: 0>
2025-03-23 12:18:23,387 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.139.130:46095
2025-03-23 12:18:23,386 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.139.130:46095', status: closed, memory: 0, processing: 0>
2025-03-23 12:18:19,999 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.140.2:42389
2025-03-23 12:18:19,998 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.140.2:42389', status: closed, memory: 0, processing: 0>
2025-03-23 12:18:16,405 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.138.2:38515
2025-03-23 12:18:16,404 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.138.2:38515', status: closed, memory: 0, processing: 0>
2025-03-23 12:16:31,361 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.130:45541', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742732191.360994')
2025-03-23 12:16:31,327 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.132.2:35159', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742732191.3271446')
2025-03-23 12:16:31,299 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.135.130:43065', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742732191.2991047')
2025-03-23 12:16:31,271 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.137.2:44721', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742732191.2712343')
2025-03-23 12:16:31,263 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.2:45403', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742732191.2628243')
2025-03-23 12:16:31,252 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.136.2:43683', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742732191.2521842')
2025-03-22 17:42:59,543 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.2:34131
2025-03-22 17:42:59,539 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.2:34131', status: closed, memory: 0, processing: 0>
2025-03-22 17:40:25,255 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://10.0.129.130:39603', status: running, memory: 0, processing: 0> (stimulus_id='handle-worker-cleanup-1742665225.2546818')
2025-03-22 11:18:29,396 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.2:44721
2025-03-22 11:18:29,396 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.2:44721', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:28,723 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.2:45403
2025-03-22 11:18:28,722 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.2:45403', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:28,701 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.135.130:43065
2025-03-22 11:18:28,700 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.135.130:43065', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:28,542 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.2:35159
2025-03-22 11:18:28,541 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.2:35159', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:27,866 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.137.130:45541
2025-03-22 11:18:27,865 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.137.130:45541', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:25,214 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.134:34561
2025-03-22 11:18:25,213 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.134:34561', status: running, memory: 0, processing: 0>
2025-03-22 11:18:24,923 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.2:43683
2025-03-22 11:18:24,923 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.2:43683', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:24,593 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.134:39313
2025-03-22 11:18:24,593 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.134:39313', status: running, memory: 0, processing: 0>
2025-03-22 11:18:24,295 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.128.6:36725
2025-03-22 11:18:24,294 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.128.6:36725', status: running, memory: 0, processing: 0>
2025-03-22 11:18:24,025 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.130.2:43515
2025-03-22 11:18:24,025 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.130.2:43515', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:23,855 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.133.2:40717
2025-03-22 11:18:23,854 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.133.2:40717', status: running, memory: 0, processing: 0>
2025-03-22 11:18:23,805 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.129.130:39603
2025-03-22 11:18:23,805 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.129.130:39603', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:23,725 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.136.130:44507
2025-03-22 11:18:23,724 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.136.130:44507', status: running, memory: 0, processing: 0>
2025-03-22 11:18:23,574 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.131.2:34351
2025-03-22 11:18:23,573 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.131.2:34351', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:22,860 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.132.134:46631
2025-03-22 11:18:22,859 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.132.134:46631', status: running, memory: 0, processing: 0>
2025-03-22 11:18:22,146 - distributed.scheduler - INFO - Starting worker compute stream, tcp://10.0.134.130:37331
2025-03-22 11:18:16,508 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://10.0.134.130:37331', status: closed, memory: 0, processing: 0>
2025-03-22 11:18:02,504 - distributed.scheduler - INFO - Registering Worker plugin shuffle
2025-03-22 11:18:02,504 - distributed.scheduler - INFO - dashboard at: http://10.0.133.134:8787/status
2025-03-22 11:18:02,503 - distributed.scheduler - INFO - Scheduler at: tcp://10.0.133.134:8786
2025-03-22 11:18:02,502 - distributed.scheduler - INFO - -----------------------------------------------
2025-03-22 11:18:02,495 - distributed.scheduler - INFO - State start