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⬆️ UPGRADE: Autoupdate pre-commit config #54043

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Merged
merged 6 commits into from
Jul 10, 2023
Merged

⬆️ UPGRADE: Autoupdate pre-commit config #54043

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57b7410
⬆️ UPGRADE: Autoupdate pre-commit config
MarcoGorelli Jul 1, 2023
4a24c22
Merge remote-tracking branch 'upstream/main' into create-pr-action/pr…
mroeschke Jul 7, 2023
81a946e
add codespell, ignore RUF012
mroeschke Jul 7, 2023
aca9e8e
noqa RUF011, ignore another ruff code
mroeschke Jul 7, 2023
66dc5b1
Merge remote-tracking branch 'upstream/main' into create-pr-action/pr…
mroeschke Jul 10, 2023
fc56243
Rename
mroeschke Jul 10, 2023
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6 changes: 3 additions & 3 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ repos:
hooks:
- id: black
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.0.270
rev: v0.0.275
hooks:
- id: ruff
args: [--exit-non-zero-on-fix]
Expand All @@ -33,7 +33,7 @@ repos:
pass_filenames: true
require_serial: false
- repo: https://github.com/codespell-project/codespell
rev: v2.2.4
rev: v2.2.5
hooks:
- id: codespell
types_or: [python, rst, markdown, cython, c]
Expand Down Expand Up @@ -91,7 +91,7 @@ repos:
hooks:
- id: isort
- repo: https://github.com/asottile/pyupgrade
rev: v3.4.0
rev: v3.7.0
hooks:
- id: pyupgrade
args: [--py39-plus]
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8 changes: 0 additions & 8 deletions pandas/_libs/algos.pyi
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Expand Up @@ -5,10 +5,6 @@ import numpy as np
from pandas._typing import npt

class Infinity:
"""
Provide a positive Infinity comparison method for ranking.
"""

def __eq__(self, other) -> bool: ...
def __ne__(self, other) -> bool: ...
def __lt__(self, other) -> bool: ...
Expand All @@ -17,10 +13,6 @@ class Infinity:
def __ge__(self, other) -> bool: ...

class NegInfinity:
"""
Provide a negative Infinity comparison method for ranking.
"""

def __eq__(self, other) -> bool: ...
def __ne__(self, other) -> bool: ...
def __lt__(self, other) -> bool: ...
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/algorithms.py
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Expand Up @@ -1322,7 +1322,7 @@ def searchsorted(
arr: ArrayLike,
value: NumpyValueArrayLike | ExtensionArray,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
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niice

) -> npt.NDArray[np.intp] | np.intp:
"""
Find indices where elements should be inserted to maintain order.
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/arrays/_mixins.py
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Expand Up @@ -233,7 +233,7 @@ def searchsorted(
self,
value: NumpyValueArrayLike | ExtensionArray,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
) -> npt.NDArray[np.intp] | np.intp:
npvalue = self._validate_setitem_value(value)
return self._ndarray.searchsorted(npvalue, side=side, sorter=sorter)
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/arrays/arrow/array.py
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Expand Up @@ -1056,7 +1056,7 @@ def searchsorted(
self,
value: NumpyValueArrayLike | ExtensionArray,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
) -> npt.NDArray[np.intp] | np.intp:
if self._hasna:
raise ValueError(
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/arrays/base.py
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Expand Up @@ -926,7 +926,7 @@ def searchsorted(
self,
value: NumpyValueArrayLike | ExtensionArray,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
) -> npt.NDArray[np.intp] | np.intp:
"""
Find indices where elements should be inserted to maintain order.
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/arrays/masked.py
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Expand Up @@ -922,7 +922,7 @@ def searchsorted(
self,
value: NumpyValueArrayLike | ExtensionArray,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
) -> npt.NDArray[np.intp] | np.intp:
if self._hasna:
raise ValueError(
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/arrays/period.py
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Expand Up @@ -781,7 +781,7 @@ def searchsorted(
self,
value: NumpyValueArrayLike | ExtensionArray,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
) -> npt.NDArray[np.intp] | np.intp:
npvalue = self._validate_setitem_value(value).view("M8[ns]")

Expand Down
2 changes: 1 addition & 1 deletion pandas/core/arrays/sparse/array.py
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Expand Up @@ -1134,7 +1134,7 @@ def searchsorted(
self,
v: ArrayLike | object,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
) -> npt.NDArray[np.intp] | np.intp:
msg = "searchsorted requires high memory usage."
warnings.warn(msg, PerformanceWarning, stacklevel=find_stack_level())
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/arrays/string_.py
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Expand Up @@ -513,7 +513,7 @@ def searchsorted(
self,
value: NumpyValueArrayLike | ExtensionArray,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
) -> npt.NDArray[np.intp] | np.intp:
if self._hasna:
raise ValueError(
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1307,7 +1307,7 @@ def searchsorted(
self,
value: NumpyValueArrayLike | ExtensionArray,
side: Literal["left", "right"] = "left",
sorter: NumpySorter = None,
sorter: NumpySorter | None = None,
) -> npt.NDArray[np.intp] | np.intp:
if isinstance(value, ABCDataFrame):
msg = (
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/dtypes/dtypes.py
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Expand Up @@ -219,7 +219,7 @@ def _from_fastpath(

@classmethod
def _from_categorical_dtype(
cls, dtype: CategoricalDtype, categories=None, ordered: Ordered = None
cls, dtype: CategoricalDtype, categories=None, ordered: Ordered | None = None
) -> CategoricalDtype:
if categories is ordered is None:
return dtype
Expand Down
44 changes: 24 additions & 20 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2563,7 +2563,7 @@ def to_stata(
version: int | None = 114,
convert_strl: Sequence[Hashable] | None = None,
compression: CompressionOptions = "infer",
storage_options: StorageOptions = None,
storage_options: StorageOptions | None = None,
value_labels: dict[Hashable, dict[float, str]] | None = None,
) -> None:
"""
Expand Down Expand Up @@ -2758,7 +2758,7 @@ def to_markdown(
buf: FilePath | WriteBuffer[str] | None = None,
mode: str = "wt",
index: bool = True,
storage_options: StorageOptions = None,
storage_options: StorageOptions | None = None,
**kwargs,
) -> str | None:
if "showindex" in kwargs:
Expand Down Expand Up @@ -2810,7 +2810,7 @@ def to_parquet(
compression: str | None = "snappy",
index: bool | None = None,
partition_cols: list[str] | None = None,
storage_options: StorageOptions = None,
storage_options: StorageOptions | None = None,
**kwargs,
) -> bytes | None:
"""
Expand Down Expand Up @@ -3179,7 +3179,7 @@ def to_xml(
parser: XMLParsers | None = "lxml",
stylesheet: FilePath | ReadBuffer[str] | ReadBuffer[bytes] | None = None,
compression: CompressionOptions = "infer",
storage_options: StorageOptions = None,
storage_options: StorageOptions | None = None,
) -> str | None:
"""
Render a DataFrame to an XML document.
Expand Down Expand Up @@ -5080,12 +5080,12 @@ def drop(

def drop(
self,
labels: IndexLabel = None,
labels: IndexLabel | None = None,
*,
axis: Axis = 0,
index: IndexLabel = None,
columns: IndexLabel = None,
level: Level = None,
index: IndexLabel | None = None,
columns: IndexLabel | None = None,
level: Level | None = None,
inplace: bool = False,
errors: IgnoreRaise = "raise",
) -> DataFrame | None:
Expand Down Expand Up @@ -5290,7 +5290,7 @@ def rename(
axis: Axis | None = None,
copy: bool | None = None,
inplace: bool = False,
level: Level = None,
level: Level | None = None,
errors: IgnoreRaise = "ignore",
) -> DataFrame | None:
"""
Expand Down Expand Up @@ -5805,7 +5805,7 @@ def reset_index(
col_level: Hashable = ...,
col_fill: Hashable = ...,
allow_duplicates: bool | lib.NoDefault = ...,
names: Hashable | Sequence[Hashable] = None,
names: Hashable | Sequence[Hashable] | None = None,
) -> DataFrame:
...

Expand All @@ -5819,7 +5819,7 @@ def reset_index(
col_level: Hashable = ...,
col_fill: Hashable = ...,
allow_duplicates: bool | lib.NoDefault = ...,
names: Hashable | Sequence[Hashable] = None,
names: Hashable | Sequence[Hashable] | None = None,
) -> None:
...

Expand All @@ -5833,20 +5833,20 @@ def reset_index(
col_level: Hashable = ...,
col_fill: Hashable = ...,
allow_duplicates: bool | lib.NoDefault = ...,
names: Hashable | Sequence[Hashable] = None,
names: Hashable | Sequence[Hashable] | None = None,
) -> DataFrame | None:
...

def reset_index(
self,
level: IndexLabel = None,
level: IndexLabel | None = None,
*,
drop: bool = False,
inplace: bool = False,
col_level: Hashable = 0,
col_fill: Hashable = "",
allow_duplicates: bool | lib.NoDefault = lib.no_default,
names: Hashable | Sequence[Hashable] = None,
names: Hashable | Sequence[Hashable] | None = None,
) -> DataFrame | None:
"""
Reset the index, or a level of it.
Expand Down Expand Up @@ -6142,7 +6142,7 @@ def dropna(
axis: Axis = 0,
how: AnyAll | lib.NoDefault = lib.no_default,
thresh: int | lib.NoDefault = lib.no_default,
subset: IndexLabel = None,
subset: IndexLabel | None = None,
inplace: bool = False,
ignore_index: bool = False,
) -> DataFrame | None:
Expand Down Expand Up @@ -6579,7 +6579,7 @@ def sort_values(
kind: SortKind = "quicksort",
na_position: str = "last",
ignore_index: bool = False,
key: ValueKeyFunc = None,
key: ValueKeyFunc | None = None,
) -> DataFrame | None:
"""
Sort by the values along either axis.
Expand Down Expand Up @@ -6858,14 +6858,14 @@ def sort_index(
self,
*,
axis: Axis = 0,
level: IndexLabel = None,
level: IndexLabel | None = None,
ascending: bool | Sequence[bool] = True,
inplace: bool = False,
kind: SortKind = "quicksort",
na_position: NaPosition = "last",
sort_remaining: bool = True,
ignore_index: bool = False,
key: IndexKeyFunc = None,
key: IndexKeyFunc | None = None,
) -> DataFrame | None:
"""
Sort object by labels (along an axis).
Expand Down Expand Up @@ -7633,7 +7633,11 @@ def _should_reindex_frame_op(self, right, op, axis: int, fill_value, level) -> b
return False

def _align_for_op(
self, other, axis: AxisInt, flex: bool | None = False, level: Level = None
self,
other,
axis: AxisInt,
flex: bool | None = False,
level: Level | None = None,
):
"""
Convert rhs to meet lhs dims if input is list, tuple or np.ndarray.
Expand Down Expand Up @@ -9387,7 +9391,7 @@ def melt(
value_vars=None,
var_name=None,
value_name: Hashable = "value",
col_level: Level = None,
col_level: Level | None = None,
ignore_index: bool = True,
) -> DataFrame:
return melt(
Expand Down
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