Replace flake8 and pyupgrade with ruff

.pre-commit-config.yaml

@@ -10,29 +10,17 @@ repos:
     rev: 5.12.0
     hooks:
     -   id: isort
--   repo: https://github.com/asottile/pyupgrade
-    rev: v3.9.0
+-   repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.0.278
     hooks:
-    -   id: pyupgrade
-        types_or: [python, pyi]
-        types: [text]  # overwrite types: [python]
-        args: [--py38-plus]
--   repo: https://github.com/PyCQA/flake8
-    rev: 6.0.0
-    hooks:
-    -   id: flake8
-        name: flake8 (py)
-        types: [python]
-        args: [--ignore=E501 F841]
-    -   id: flake8
-        name: flake8 (pyi)
-        additional_dependencies:
-        - flake8-pyi==23.6.0
-        types: [pyi]
+    -   id: ruff
         args: [
-          --ignore=E301 E302 E305 E402 E501 E701 E704 F401 F811 F821 W503 Y042,
-          # TypeVars in private files are already private
-          --per-file-ignores=_*.pyi:Y001
+          --exit-non-zero-on-fix,
+          --target-version, py38,
+          --extend-select, "PYI,UP,RUF100",
+          --ignore, "E501,E731,F841,PYI042",
+          --per-file-ignores, "_*.pyi:PYI001",
+          --fix
         ]
 -   repo: https://github.com/codespell-project/codespell
     rev: v2.2.5

pandas-stubs/_libs/interval.pyi

@@ -79,7 +79,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
         left: _OrderableT,
         right: _OrderableT,
         closed: IntervalClosedType = ...,
-    ): ...
+    ) -> None: ...
     def __hash__(self) -> int: ...
     # for __contains__, it seems that we have to separate out the 4 cases to make
     # mypy happy
@@ -222,7 +222,7 @@ class IntervalTree(IntervalMixin):
         right: np.ndarray,
         closed: IntervalClosedType = ...,
         leaf_size: int = ...,
-    ): ...
+    ) -> None: ...
     def get_indexer(self, target) -> npt.NDArray[np.intp]: ...
     def get_indexer_non_unique(
         self, target

pandas-stubs/_libs/tslibs/offsets.pyi

@@ -123,7 +123,7 @@ class RelativeDeltaOffset(BaseOffset):
 class BusinessMixin(SingleConstructorOffset):
     def __init__(
         self, n: int = ..., normalize: bool = ..., offset: timedelta = ...
-    ): ...
+    ) -> None: ...
 
 class BusinessDay(BusinessMixin): ...
 
@@ -135,15 +135,17 @@ class BusinessHour(BusinessMixin):
         start: str | time | Collection[str | time] = ...,
         end: str | time | Collection[str | time] = ...,
         offset: timedelta = ...,
-    ): ...
+    ) -> None: ...
 
 class WeekOfMonthMixin(SingleConstructorOffset):
-    def __init__(self, n: int = ..., weekday: Literal[0, 1, 2, 3, 4, 5, 6] = ...): ...
+    def __init__(
+        self, n: int = ..., weekday: Literal[0, 1, 2, 3, 4, 5, 6] = ...
+    ) -> None: ...
 
 class YearOffset(SingleConstructorOffset):
     def __init__(
         self, n: int = ..., normalize: bool = ..., month: int | None = ...
-    ): ...
+    ) -> None: ...
 
 class BYearEnd(YearOffset): ...
 class BYearBegin(YearOffset): ...
@@ -206,7 +208,7 @@ class _CustomBusinessMonth(BusinessMixin):
         normalize: bool = ...,
         offset: timedelta = ...,
         holidays: list | None = ...,
-    ): ...
+    ) -> None: ...
 
 class CustomBusinessDay(BusinessDay):
     def __init__(
@@ -215,7 +217,7 @@ class CustomBusinessDay(BusinessDay):
         normalize: bool = ...,
         holidays: list = ...,
         calendar: AbstractHolidayCalendar | np.busdaycalendar = ...,
-    ): ...
+    ) -> None: ...
 
 class CustomBusinessHour(BusinessHour):
     def __init__(
@@ -226,7 +228,7 @@ class CustomBusinessHour(BusinessHour):
         end: str | time | Collection[str | time] = ...,
         offset: timedelta = ...,
         holidays: list | None = ...,
-    ): ...
+    ) -> None: ...
 
 class CustomBusinessMonthEnd(_CustomBusinessMonth): ...
 class CustomBusinessMonthBegin(_CustomBusinessMonth): ...
@@ -256,7 +258,7 @@ class DateOffset(RelativeDeltaOffset):
         second: int = ...,
         microsecond: int = ...,
         nanosecond: int = ...,
-    ): ...
+    ) -> None: ...
 
 BDay = BusinessDay
 BMonthEnd = BusinessMonthEnd

pandas-stubs/_libs/tslibs/period.pyi

@@ -20,13 +20,12 @@ from pandas.core.series import (
 from typing_extensions import TypeAlias
 
 from pandas._libs.tslibs import NaTType
+from pandas._libs.tslibs.offsets import BaseOffset
 from pandas._libs.tslibs.timestamps import Timestamp
 from pandas._typing import npt
 
 class IncompatibleFrequency(ValueError): ...
 
-from pandas._libs.tslibs.offsets import BaseOffset
-
 _PeriodAddSub: TypeAlias = (
     Timedelta | datetime.timedelta | np.timedelta64 | np.int64 | int | BaseOffset
 )

pandas-stubs/_typing.pyi

@@ -91,7 +91,7 @@ DtypeBackend: TypeAlias = Literal["pyarrow", "numpy_nullable"]
 
 BooleanDtypeArg: TypeAlias = (
     # Builtin bool type and its string alias
-    type[bool]  # noqa: Y030
+    type[bool]  # noqa: PYI030
     | Literal["bool"]
     # Pandas nullable boolean type and its string alias
     | pd.BooleanDtype
@@ -105,7 +105,7 @@ BooleanDtypeArg: TypeAlias = (
 )
 IntDtypeArg: TypeAlias = (
     # Builtin integer type and its string alias
-    type[int]  # noqa: Y030
+    type[int]  # noqa: PYI030
     | Literal["int"]
     # Pandas nullable integer types and their string aliases
     | pd.Int8Dtype
@@ -137,7 +137,7 @@ IntDtypeArg: TypeAlias = (
 )
 UIntDtypeArg: TypeAlias = (
     # Pandas nullable unsigned integer types and their string aliases
-    pd.UInt8Dtype  # noqa: Y030
+    pd.UInt8Dtype  # noqa: PYI030
     | pd.UInt16Dtype
     | pd.UInt32Dtype
     | pd.UInt64Dtype
@@ -166,7 +166,7 @@ UIntDtypeArg: TypeAlias = (
 )
 FloatDtypeArg: TypeAlias = (
     # Builtin float type and its string alias
-    type[float]  # noqa: Y030
+    type[float]  # noqa: PYI030
     | Literal["float"]
     # Pandas nullable float types and their string aliases
     | pd.Float32Dtype
@@ -197,7 +197,7 @@ FloatDtypeArg: TypeAlias = (
 )
 ComplexDtypeArg: TypeAlias = (
     # Builtin complex type and its string alias
-    type[complex]  # noqa: Y030
+    type[complex]  # noqa: PYI030
     | Literal["complex"]
     # Numpy complex types and their aliases
     # https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.csingle
@@ -326,7 +326,7 @@ TimestampDtypeArg: TypeAlias = Literal[
 
 StrDtypeArg: TypeAlias = (
     # Builtin str type and its string alias
-    type[str]  # noqa: Y030
+    type[str]  # noqa: PYI030
     | Literal["str"]
     # Pandas nullable string type and its string alias
     | pd.StringDtype
@@ -340,7 +340,7 @@ StrDtypeArg: TypeAlias = (
 )
 BytesDtypeArg: TypeAlias = (
     # Builtin bytes type and its string alias
-    type[bytes]  # noqa: Y030
+    type[bytes]  # noqa: PYI030
     | Literal["bytes"]
     # Numpy bytes type and its string alias
     # https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.bytes_
@@ -353,7 +353,7 @@ CategoryDtypeArg: TypeAlias = CategoricalDtype | Literal["category"]
 
 ObjectDtypeArg: TypeAlias = (
     # Builtin object type and its string alias
-    type[object]  # noqa: Y030
+    type[object]  # noqa: PYI030
     | Literal["object"]
     # Numpy object type and its string alias
     # https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.object_

pandas-stubs/core/computation/expr.pyi

@@ -50,7 +50,7 @@ class PandasExprVisitor(BaseExprVisitor):
     def __init__(self, env, engine, parser, preparser=...) -> None: ...
 
 class PythonExprVisitor(BaseExprVisitor):
-    def __init__(self, env, engine, parser, preparser=...): ...
+    def __init__(self, env, engine, parser, preparser=...) -> None: ...
 
 class Expr:
     env: Scope

pandas-stubs/core/computation/pytables.pyi

@@ -81,7 +81,7 @@ class UnaryOp(ops.UnaryOp):
 class PyTablesExprVisitor(BaseExprVisitor):
     const_type = ...
     term_type = ...
-    def __init__(self, env, engine, parser, **kwargs): ...
+    def __init__(self, env, engine, parser, **kwargs) -> None: ...
     def visit_UnaryOp(self, node, **kwargs): ...
     def visit_Index(self, node, **kwargs): ...
     def visit_Assign(self, node, **kwargs): ...

pandas-stubs/core/dtypes/dtypes.pyi

@@ -48,13 +48,13 @@ class DatetimeTZDtype(PandasExtensionDtype):
     def na_value(self) -> NaTType: ...
 
 class PeriodDtype(PandasExtensionDtype):
-    def __init__(self, freq: str | BaseOffset = ...): ...
+    def __init__(self, freq: str | BaseOffset = ...) -> None: ...
     @property
     def freq(self) -> BaseOffset: ...
     @property
     def na_value(self) -> NaTType: ...
 
 class IntervalDtype(PandasExtensionDtype):
-    def __init__(self, subtype: str | npt.DTypeLike | None = ...): ...
+    def __init__(self, subtype: str | npt.DTypeLike | None = ...) -> None: ...
     @property
     def subtype(self) -> np.dtype | None: ...

pandas-stubs/core/frame.pyi

@@ -569,7 +569,7 @@ class DataFrame(NDFrame, OpsMixin):
     def isetitem(
         self, loc: int | Sequence[int], value: Scalar | ArrayLike | list[Any]
     ) -> None: ...
-    def __setitem__(self, key, value): ...
+    def __setitem__(self, key, value) -> None: ...
     @overload
     def query(self, expr: _str, *, inplace: Literal[True], **kwargs) -> None: ...
     @overload

pandas-stubs/core/generic.pyi

@@ -18,6 +18,7 @@ import numpy as np
 from pandas import Index
 from pandas.core.base import PandasObject
 import pandas.core.indexing as indexing
+from pandas.core.series import Series
 import sqlalchemy.engine
 
 from pandas._typing import (
@@ -286,7 +287,7 @@ class NDFrame(PandasObject, indexing.IndexingMixin):
     def take(
         self, indices, axis=..., is_copy: _bool | None = ..., **kwargs
     ) -> NDFrame: ...
-    def __delitem__(self, idx: Hashable): ...
+    def __delitem__(self, idx: Hashable) -> None: ...
     def get(self, key: object, default: Dtype | None = ...) -> Dtype: ...
     def reindex_like(
         self,
@@ -479,5 +480,3 @@ class NDFrame(PandasObject, indexing.IndexingMixin):
     ) -> NDFrame: ...
     def first_valid_index(self): ...
     def last_valid_index(self): ...
-
-from pandas.core.series import Series

pandas-stubs/core/indexers.pyi

@@ -16,7 +16,7 @@ class BaseIndexer:
         index_array: np.ndarray | None = ...,
         window_size: int = ...,
         **kwargs,
-    ): ...
+    ) -> None: ...
     def get_window_bounds(
         self,
         num_values: int = ...,
@@ -33,7 +33,7 @@ class VariableOffsetWindowIndexer(BaseIndexer):
         index=...,
         offset=...,
         **kwargs,
-    ): ...
+    ) -> None: ...
     def get_window_bounds(
         self,
         num_values: int = ...,

pandas-stubs/core/indexes/accessors.pyi

@@ -45,14 +45,6 @@ class Properties(PandasDelegate, PandasObject, NoNewAttributesMixin):
 
 _DTFieldOpsReturnType = TypeVar("_DTFieldOpsReturnType", Series[int], _IntIndexType)
 
-class _DatetimeFieldOps(
-    _DayLikeFieldOps[_DTFieldOpsReturnType], _MiniSeconds[_DTFieldOpsReturnType]
-): ...
-class PeriodIndexFieldOps(
-    _DayLikeFieldOps[_IntIndexType],
-    _PeriodProperties[DatetimeIndex, _IntIndexType, Index, DatetimeIndex, PeriodIndex],
-): ...
-
 class _DayLikeFieldOps(Generic[_DTFieldOpsReturnType]):
     @property
     def year(self) -> _DTFieldOpsReturnType: ...
@@ -89,6 +81,10 @@ class _MiniSeconds(Generic[_DTFieldOpsReturnType]):
     @property
     def nanosecond(self) -> _DTFieldOpsReturnType: ...
 
+class _DatetimeFieldOps(
+    _DayLikeFieldOps[_DTFieldOpsReturnType], _MiniSeconds[_DTFieldOpsReturnType]
+): ...
+
 _DTBoolOpsReturnType = TypeVar("_DTBoolOpsReturnType", Series[bool], np_ndarray_bool)
 
 class _IsLeapYearProperty(Generic[_DTBoolOpsReturnType]):
@@ -338,6 +334,10 @@ class _PeriodProperties(
         how: Literal["E", "END", "FINISH", "S", "START", "BEGIN"] = ...,
     ) -> _PeriodPAReturnTypes: ...
 
+class PeriodIndexFieldOps(
+    _DayLikeFieldOps[_IntIndexType],
+    _PeriodProperties[DatetimeIndex, _IntIndexType, Index, DatetimeIndex, PeriodIndex],
+): ...
 class PeriodProperties(
     Properties,
     _PeriodProperties[

pandas-stubs/core/indexes/datetimes.pyi

@@ -59,7 +59,7 @@ class DatetimeIndex(  # type: ignore[misc]
         dtype=...,
         copy: bool = ...,
         name=...,
-    ): ...
+    ) -> None: ...
     def __array__(self, dtype=...) -> np.ndarray: ...
     def __reduce__(self): ...
     # various ignores needed for mypy, as we do want to restrict what can be used in

pandas-stubs/core/indexes/range.pyi

@@ -33,7 +33,7 @@ class RangeIndex(_IntIndexType):
         dtype=...,
         copy: bool = ...,
         name=...,
-    ): ...
+    ) -> None: ...
     @classmethod
     def from_range(cls, data, name=..., dtype=...): ...
     def __reduce__(self): ...

pandas-stubs/core/indexes/timedeltas.pyi

@@ -46,7 +46,7 @@ class TimedeltaIndex(  # type: ignore[misc]
         dtype: Literal["<m8[ns]"] = ...,
         copy: bool = ...,
         name: str = ...,
-    ): ...
+    ) -> None: ...
     # various ignores needed for mypy, as we do want to restrict what can be used in
     # arithmetic for these types
     @overload

pandas-stubs/io/formats/style.pyi

@@ -40,7 +40,7 @@ from pandas.io.formats.style_render import (
     Subset,
 )
 
-class Styler(StylerRenderer[Styler]):
+class Styler(StylerRenderer):
     def __init__(
         self,
         data: DataFrame | Series,