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fix: REVERT #2863 - pin numpy to 1.x for lambda layers #2889

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Merged
merged 1 commit into from
Jul 8, 2024
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fix: REVERT #2863 - pin numpy to 1.x for lambda layers #2889

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2 changes: 1 addition & 1 deletion awswrangler/_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -856,7 +856,7 @@ def split_pandas_frame(df: pd.DataFrame, splits: int) -> list[pd.DataFrame]:
total = len(df)
each_section, extras = divmod(total, splits)
section_sizes = [0] + extras * [each_section + 1] + (splits - extras) * [each_section]
div_points = _nx.array(section_sizes, dtype=_nx.intp).cumsum()
div_points = _nx.array(section_sizes, dtype=_nx.intp).cumsum() # type: ignore[attr-defined]

sub_dfs = []
for i in range(splits):
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2 changes: 1 addition & 1 deletion awswrangler/s3/_write_dataset.py
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Expand Up @@ -28,7 +28,7 @@ def _get_bucketing_series(df: pd.DataFrame, bucketing_info: typing.BucketingInfo
axis="columns",
)
)
return bucket_number_series.astype(np.array([pd.CategoricalDtype(range(bucketing_info[1]))]))
return bucket_number_series.astype(pd.CategoricalDtype(range(bucketing_info[1])))


def _simulate_overflow(value: int, bits: int = 31, signed: bool = False) -> int:
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