distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Support multiple measures in `MemorySampler`
- Enable `Client.get_versions` to get versions from all other clients and compare against those
- flaky `test_quiet_close_process[True]`
- Reduce recursionlimit for `test_client.py::test_profile`
- issue a ResourceWarning for unclosed RPC objects
- Support creating a `ProcessInterface` without a running loop in 3.8 and 3.9
- Deprecate `cleanup` fixture; replace with `gonna_run_dask` fixture
- use a ResourceWarning instead of check_active_rpc
- RuntimeError: cannot schedule new futures after shutdown
- Assuming `127.0.0.1` or `127.0.1.1` on OSError is incorrect, better throw the error.
- Docs
- Python not yet supported