Comments (4)
@quasiben maybe this is something your team can help resolve?
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these started failing over the weekend because of a pytest release?
from dask.
Yeah, the latest pytest release started emitting a warning that we're elevating to a failure. They seem more related to testing setup than end-user functionality (I haven't looked deeply though)
from dask.
The first improvement listed here https://docs.pytest.org/en/stable/changelog.html#improvements is what we're seeing, I think. For example, dask.dataframe
still exists when pandas
isn't installed, we just raise an ImportError
whenever anyone tries to use it. Pytest now warns about this (doesn't warn if ModuleNotFoundError
are raised instead of ImportError
)
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Related Issues (20)
- Add static type annotations HOT 4
- KeyError on existing column after executing `reset_index` and `set_index` HOT 2
- db.to_dataframe, throws: TypeError: 'coroutine' object is not iterable HOT 2
- Substantial memory usage in dask.order
- Some DataFrame API methods don't have docstrings HOT 1
- Handle 10GB CSV file in 8GB Ram machine
- NumPy 2.0 support HOT 14
- Control order of execution with query planner HOT 2
- Unable to get series when previously filtered with datetime slice HOT 3
- Backport Python import error patch to 2024.2.1
- Turning off query planning is difficult HOT 1
- Unique Operation fails on dataframe repartitioned using set index after resetting the index HOT 1
- dd.concat returns empty tuple when axis=1 HOT 3
- Add a `dask.array.sample` functionality mirroring `dask.dataframe.sample` with an optional `ignore_nan` argument
- Inconsistency in ddf.astype(Arrow Dict) HOT 1
- ddf.drop is inconsistent when passed a set of columns HOT 4
- test_division_or_partition in test_sql is failing for pandas 3
- Sorting by a categorical column doesn't always work
- Use case focused docs pages HOT 2
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