Comments (3)
An example of the failure - https://github.com/modin-project/modin/actions/runs/8417991762/job/23054300277?pr=7114. The tests are failing locally too with pytest -n 2
. @rkooo567, do you know what might be broken in Ray 2.10.0?
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@YarShev I am not aware of anything. can you actually post to Ray Github repo? Thank you!
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Related Issues (20)
- Fix ASV after changing default branch: "master" -> "main"
- Recheck that all methods with `numeric_only=True` works correctly
- Implement DataFrame API standard HOT 1
- Update docs on how to enable Modin logs for high-level API and low-level API
- Use custom resources for Ray to schedule a task on a concrete node
- Modin should work correctly with pandas, which uses pyarrow as a backend HOT 1
- BUG: df.melt cannot does not handle duplicate value_vars correctly
- BUG: Falling back to standard Pandas implementation when assigning a dataframe to a columnar selection HOT 1
- Find a way to limit parallelism for tasks running in parallel for different engines
- Wrong dtypes after `merge` op HOT 2
- Update docs as to when Modin operators work best HOT 4
- Update `dataframe-api-compat` version
- Consider remove `use_legacy_dataset=False`
- BUG: Importing `modin.pandas.api.extensions` overwrites re-export of `pandas.api` submodules
- Do `right._modin_frame.combine()` for merge and join only when necessary
- Don't preserve bad partition for `merge`
- Remove Series.dt.to_timestamp HOT 3
- Properties that default to pandas have unclear error messages
- HDK deprecation
- BUG: Series + DataFrame result is different object type depending on order of operands
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