distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Make `decide_worker` and `rootish` logic private
- check for main module in reducer override
- `RuntimeError` when sending graph with `dask.array.ufunc.ufunc`s to scheduler and importing the wrapped `numpy` function
- Two (three?) failing tests on Debian with Python 3.12: `test_steal_twice` and `test_client_worker`
- Worker status page: IndexError: deque index out of range
- `load_cluster_dump` using `msgpack>=1.0` fails with `ValueError: int is not allowed for map key when strict_map_key=True`
- Gracefully handle unevenly distributed disk space during P2P
- refactor(adaptive-core): improved readability recommendations
- Client.submit *args is typehinted wrongly
- [WIP/POC] ordered RPC
- Docs
- Python not yet supported