distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Fix masked array deserialization overflow for integer dtypes
- client.scheduler_info()['workers'] only returns 5 workers when LocalCluster n_workers > 5
- Sphinx 9 compatibility
- test_computation_object_code_dask_compute fails when using --reruns
- Support NUMBA_NUM_THREADS env variable
- Dask worker CLI error message might be misleading
- Workers killed by signal 6/9 and timeout errors during cluster shutdown with `LocalCUDACluster`
- Docstring for `Scheduler.close` refers to non-existent `Scheduler.cleanup` method
- Dataframe shuffle: Behaviour for NULL partitions differs from Pandas 3
- Client.get doesn't evaluate dependency if it's in dictionary value or nested inside dictionary
- Docs
- Python not yet supported