feat(ruff): comply to ANN202, 002, TRY, PT, BLE

pandas-stubs/_testing/__init__.pyi

@@ -176,7 +176,7 @@ def assert_frame_equal(
 def assert_equal(left, right, **kwargs: Any) -> None: ...
 def assert_sp_array_equal(left: SparseArray, right: SparseArray) -> None: ...
 def assert_contains_all(iterable: Iterable[T], dic: Container[T]) -> None: ...
-def assert_copy(iter1: Iterable[T], iter2: Iterable[T], **eql_kwargs) -> None: ...
+def assert_copy(iter1: Iterable[T], iter2: Iterable[T], **eql_kwargs: Any) -> None: ...
 @contextmanager
 def assert_produces_warning(
     expected_warning: (

pandas-stubs/core/arrays/base.pyi

@@ -21,6 +21,9 @@ from pandas._typing import (
 from pandas.core.dtypes.dtypes import ExtensionDtype as ExtensionDtype
 
 class ExtensionArray:
+    def __array_ufunc__(
+        self, ufunc: np.ufunc, method: str, *inputs: Any, **kwargs: Any
+    ) -> Any: ...
     @overload
     def __getitem__(self, item: ScalarIndexer) -> Any: ...
     @overload

pandas-stubs/core/arrays/boolean.pyi

@@ -20,7 +20,6 @@ class BooleanArray(BaseMaskedArray):
     ) -> None: ...
     @property
     def dtype(self): ...
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs: Any): ...
     def __setitem__(self, key, value) -> None: ...
     def astype(self, dtype, copy: bool = True): ...
     def any(self, *, skipna: bool = ..., **kwargs: Any): ...

pandas-stubs/core/arrays/categorical.pyi

@@ -19,6 +19,7 @@ from pandas._typing import (
     ArrayLike,
     Dtype,
     ListLike,
+    NpDtype,
     Ordered,
     PositionalIndexerTuple,
     Scalar,
@@ -89,8 +90,9 @@ class Categorical(ExtensionArray):
     @property
     def shape(self): ...
     def shift(self, periods=1, fill_value=...): ...
-    def __array__(self, dtype=...) -> np_1darray: ...
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs: Any): ...
+    def __array__(
+        self, dtype: NpDtype | None = None, copy: bool | None = None
+    ) -> np_1darray: ...
     @property
     def T(self): ...
     @property
@@ -112,8 +114,6 @@ class Categorical(ExtensionArray):
     def take(
         self, indexer: TakeIndexer, *, allow_fill: bool = ..., fill_value=...
     ) -> Categorical: ...
-    def __len__(self) -> int: ...
-    def __iter__(self): ...
     def __contains__(self, key) -> bool: ...
     @overload
     def __getitem__(self, key: ScalarIndexer) -> Any: ...

pandas-stubs/core/arrays/datetimelike.pyi

@@ -18,12 +18,14 @@ from pandas._libs import (
 )
 from pandas._typing import (
     DatetimeLikeScalar,
+    NpDtype,
     PositionalIndexerTuple,
     ScalarIndexer,
     SequenceIndexer,
     TimeAmbiguous,
     TimeNonexistent,
     TimeUnit,
+    np_1darray,
 )
 
 DTScalarOrNaT: TypeAlias = DatetimeLikeScalar | NaTType
@@ -66,10 +68,11 @@ class DatetimeLikeArrayMixin(ExtensionOpsMixin, ExtensionArray):
     def asi8(self) -> np.ndarray: ...
     @property
     def nbytes(self): ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
+    def __array__(
+        self, dtype: NpDtype | None = None, copy: bool | None = None
+    ) -> np_1darray: ...
     @property
     def size(self) -> int: ...
-    def __len__(self) -> int: ...
     @overload
     def __getitem__(self, key: ScalarIndexer) -> DTScalarOrNaT: ...
     @overload

pandas-stubs/core/arrays/datetimes.pyi

@@ -29,7 +29,6 @@ class DatetimeArray(DatetimeLikeArrayMixin, TimelikeOps, DatelikeOps):
     def tzinfo(self) -> _tzinfo | None: ...
     @property
     def is_normalized(self): ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
     def __iter__(self): ...
     def astype(self, dtype, copy: bool = True): ...
     def tz_convert(self, tz: TimeZones): ...

pandas-stubs/core/arrays/integer.pyi

@@ -1,5 +1,3 @@
-from typing import Any
-
 from pandas.core.arrays.masked import BaseMaskedArray
 
 from pandas._libs.missing import NAType
@@ -19,7 +17,6 @@ class IntegerArray(BaseMaskedArray):
     @property
     def dtype(self) -> _IntegerDtype: ...
     def __init__(self, values, mask, copy: bool = ...) -> None: ...
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs: Any): ...
     def __setitem__(self, key, value) -> None: ...
     def astype(self, dtype, copy: bool = True): ...
 

pandas-stubs/core/arrays/interval.pyi

@@ -18,6 +18,7 @@ from pandas._libs.interval import (
 )
 from pandas._typing import (
     Axis,
+    NpDtype,
     Scalar,
     ScalarIndexer,
     SequenceIndexer,
@@ -57,8 +58,9 @@ class IntervalArray(IntervalMixin, ExtensionArray):
         copy: bool = False,
         dtype=None,
     ): ...
-    def __iter__(self): ...
-    def __len__(self) -> int: ...
+    def __array__(
+        self, dtype: NpDtype | None = None, copy: bool | None = None
+    ) -> np_1darray: ...
     @overload
     def __getitem__(self, key: ScalarIndexer) -> IntervalOrNA: ...
     @overload
@@ -100,7 +102,6 @@ class IntervalArray(IntervalMixin, ExtensionArray):
     def mid(self) -> Index: ...
     @property
     def is_non_overlapping_monotonic(self) -> bool: ...
-    def __array__(self, dtype=...) -> np_1darray: ...
     def __arrow_array__(self, type=...): ...
     def to_tuples(self, na_tuple: bool = True): ...
     def repeat(self, repeats, axis: Axis | None = ...): ...

pandas-stubs/core/arrays/masked.pyi

@@ -11,9 +11,11 @@ from pandas.core.arrays import (
 from typing_extensions import Self
 
 from pandas._typing import (
+    NpDtype,
     Scalar,
     ScalarIndexer,
     SequenceIndexer,
+    np_1darray,
     npt,
 )
 
@@ -23,7 +25,6 @@ class BaseMaskedArray(ExtensionArray, ExtensionOpsMixin):
     @overload
     def __getitem__(self, item: SequenceIndexer) -> Self: ...
     def __iter__(self): ...
-    def __len__(self) -> int: ...
     def __invert__(self): ...
     def to_numpy(
         self,
@@ -32,7 +33,9 @@ class BaseMaskedArray(ExtensionArray, ExtensionOpsMixin):
         na_value: Scalar = ...,
     ) -> np.ndarray: ...
     __array_priority__: int = ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
+    def __array__(
+        self, dtype: NpDtype | None = None, copy: bool | None = None
+    ) -> np_1darray: ...
     def __arrow_array__(self, type=...): ...
     def isna(self): ...
     @property

pandas-stubs/core/arrays/numpy_.pyi

@@ -1,5 +1,3 @@
-from typing import Any
-
 import numpy as np
 from numpy.lib.mixins import NDArrayOperatorsMixin
 from pandas.core.arrays.base import (
@@ -15,5 +13,4 @@ class PandasDtype(ExtensionDtype):
     @property
     def itemsize(self) -> int: ...
 
-class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs: Any): ...
+class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin): ...

pandas-stubs/core/arrays/period.pyi

@@ -1,4 +1,3 @@
-import numpy as np
 from pandas import PeriodDtype
 from pandas.core.arrays.datetimelike import (
     DatelikeOps,
@@ -7,13 +6,19 @@ from pandas.core.arrays.datetimelike import (
 
 from pandas._libs.tslibs import Timestamp
 from pandas._libs.tslibs.period import Period
+from pandas._typing import (
+    NpDtype,
+    np_1darray,
+)
 
 class PeriodArray(DatetimeLikeArrayMixin, DatelikeOps):
     __array_priority__: int = ...
     def __init__(self, values, freq=..., dtype=..., copy: bool = ...) -> None: ...
     @property
     def dtype(self) -> PeriodDtype: ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
+    def __array__(
+        self, dtype: NpDtype | None = None, copy: bool | None = None
+    ) -> np_1darray: ...
     def __arrow_array__(self, type=...): ...
     year: int = ...
     month: int = ...

pandas-stubs/core/arrays/sparse/array.pyi

@@ -5,16 +5,17 @@ from typing import (
     overload,
 )
 
-import numpy as np
 from pandas.core.arrays import (
     ExtensionArray,
     ExtensionOpsMixin,
 )
 from typing_extensions import Self
 
 from pandas._typing import (
+    NpDtype,
     ScalarIndexer,
     SequenceIndexer,
+    np_1darray,
 )
 
 @final
@@ -33,7 +34,9 @@ class SparseArray(ExtensionArray, ExtensionOpsMixin):
     ) -> None: ...
     @classmethod
     def from_spmatrix(cls, data): ...
-    def __array__(self, dtype=..., copy=...) -> np.ndarray: ...
+    def __array__(
+        self, dtype: NpDtype | None = None, copy: bool | None = None
+    ) -> np_1darray: ...
     def __setitem__(self, key, value) -> None: ...
     @property
     def sp_index(self): ...
@@ -47,7 +50,6 @@ class SparseArray(ExtensionArray, ExtensionOpsMixin):
     def fill_value(self, value) -> None: ...
     @property
     def kind(self) -> str: ...
-    def __len__(self) -> int: ...
     @property
     def nbytes(self) -> int: ...
     @property
@@ -78,5 +80,4 @@ class SparseArray(ExtensionArray, ExtensionOpsMixin):
     def mean(self, axis: int = ..., *args: Any, **kwargs: Any): ...
     @property
     def T(self): ...
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs: Any): ...
     def __abs__(self): ...

pandas-stubs/core/indexes/category.pyi

@@ -11,10 +11,7 @@ from pandas.core.indexes.base import Index
 from pandas.core.indexes.extension import ExtensionIndex
 from typing_extensions import Self
 
-from pandas._typing import (
-    S1,
-    DtypeArg,
-)
+from pandas._typing import S1
 
 class CategoricalIndex(ExtensionIndex[S1], accessor.PandasDelegate):
     codes: np.ndarray = ...
@@ -36,9 +33,6 @@ class CategoricalIndex(ExtensionIndex[S1], accessor.PandasDelegate):
     @property
     def values(self): ...
     def __contains__(self, key) -> bool: ...
-    def __array__(
-        self, dtype: DtypeArg = ..., copy: bool | None = ...
-    ) -> np.ndarray: ...
     @property
     def is_unique(self) -> bool: ...
     @property

pandas-stubs/core/indexes/range.pyi

@@ -74,7 +74,6 @@ class RangeIndex(_IndexSubclassBase[int, np.int64]):
         return_indexers: bool = ...,
         sort: bool = ...,
     ): ...
-    def __len__(self) -> int: ...
     @property
     def size(self) -> int: ...
     def __floordiv__(self, other): ...

pandas-stubs/plotting/_misc.pyi

@@ -49,7 +49,7 @@ def radviz(
     ax: Axes | None = None,
     color: _Color | Sequence[_Color] | None = None,
     colormap: str | Colormap | None = None,
-    **kwds,
+    **kwds: Any,
 ) -> Axes: ...
 def andrews_curves(
     frame: DataFrame,
@@ -65,7 +65,7 @@ def bootstrap_plot(
     fig: Figure | None = None,
     size: int = 50,
     samples: int = 500,
-    **kwds,
+    **kwds: Any,
 ) -> Figure: ...
 def parallel_coordinates(
     frame: DataFrame,
@@ -81,7 +81,9 @@ def parallel_coordinates(
     sort_labels: bool = False,
     **kwargs: Any,
 ) -> Axes: ...
-def lag_plot(series: Series, lag: int = 1, ax: Axes | None = None, **kwds) -> Axes: ...
+def lag_plot(
+    series: Series, lag: int = 1, ax: Axes | None = None, **kwds: Any
+) -> Axes: ...
 def autocorrelation_plot(
     series: Series, ax: Axes | None = None, **kwargs: Any
 ) -> Axes: ...

pyproject.toml

@@ -76,15 +76,15 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poe.tasks.test_all]
 help = "Run all tests"
-script = "scripts.test:test(src=True, dist=True)"
+script = "scripts.test:run_tests(src=True, dist=True)"
 
 [tool.poe.tasks.test]
 help = "Run local tests (includes 'mypy', 'pyright', 'pytest', and 'style')"
-script = "scripts.test:test(src=True)"
+script = "scripts.test:run_tests(src=True)"
 
 [tool.poe.tasks.test_dist]
 help = "Run tests on the installed stubs (includes 'mypy_dist' and 'pyright_dist')"
-script = "scripts.test:test(dist=True)"
+script = "scripts.test:run_tests(dist=True)"
 
 [tool.poe.tasks.pytest]
 help = "Run pytest"
@@ -106,7 +106,7 @@ script = "scripts.test:mypy_src(mypy_nightly)"
 
 [tool.poe.tasks.mypy_dist]
 help = "Run mypy on 'tests' using the installed stubs"
-script = "scripts.test:test(dist=True, type_checker='mypy')"
+script = "scripts.test:run_tests(dist=True, type_checker='mypy')"
 
 [tool.poe.tasks.ty]
 help = "Run ty on pandas-stubs"
@@ -126,7 +126,7 @@ script = "scripts.test.run:pyright_src_strict"
 
 [tool.poe.tasks.pyright_dist]
 help = "Run pyright on 'tests' using the installed stubs"
-script = "scripts.test:test(dist=True, type_checker='pyright')"
+script = "scripts.test:run_tests(dist=True, type_checker='pyright')"
 
 [tool.poe.tasks.stubtest]
 script = "scripts.test:stubtest(allowlist, check_missing, nightly)"
@@ -178,12 +178,12 @@ fix = true
 [tool.ruff.lint]
 extend-select = ["ALL"]
 ignore = [
-  # The following rules are ignored permanently for good reasons
   "COM",     # https://docs.astral.sh/ruff/rules/#flake8-commas-com
   "D",       # https://docs.astral.sh/ruff/rules/#pydocstyle-d
   "E501",    # handled by black https://docs.astral.sh/ruff/rules/line-too-long/
   "FBT",     # https://docs.astral.sh/ruff/rules/#flake8-boolean-trap-fbt
   "I",       # handled by isort
+  "TRY003",  # https://docs.astral.sh/ruff/rules/raise-vanilla-args/
 ]
 
 
@@ -200,14 +200,11 @@ ignore = [
   "PYI001",  # https://docs.astral.sh/ruff/rules/unprefixed-type-param/
   "PYI042",  # https://docs.astral.sh/ruff/rules/snake-case-type-alias/
   "TD003",   # https://docs.astral.sh/ruff/rules/missing-todo-link/
-  "ERA001", "ANN", "PLR0402", "PLC0105"
+  "ERA001", "ANN001", "ANN201", "ANN204", "ANN206", "ANN401", "PLR0402", "PLC0105"
   ]
 "scripts/*" = [
-  # The following rules are ignored permanently for good reasons
   "EM",      # https://docs.astral.sh/ruff/rules/#flake8-errmsg-em
   "S603",    # https://docs.astral.sh/ruff/rules/subprocess-without-shell-equals-true/
-  # The following rules are ignored temporarily. Either fix them or move to the permanent list above.
-  "TRY", "PT", "BLE"
 ]
 "tests/*" = [
   # The following rules are ignored permanently for good reasons
@@ -223,7 +220,7 @@ ignore = [
   "A001",    # https://docs.astral.sh/ruff/rules/builtin-variable-shadowing/
   "PYI042",  # https://docs.astral.sh/ruff/rules/snake-case-type-alias/
   "SLF001",  # https://docs.astral.sh/ruff/rules/private-member-access/
-  "ANN001", "ANN002", "ANN201", "ANN202", "ANN204", "ANN206", "ANN401", "ARG", "ERA", "RUF", "SIM", "TRY", "PT", "NPY", "N", "DTZ", "PLR", "TC", "PGH", "PTH", "S311", "C901"
+  "ANN001", "ANN201", "ANN204", "ANN206", "ANN401", "ARG", "ERA", "RUF", "SIM", "TRY", "PT", "NPY", "N", "DTZ", "PLR", "TC", "PGH", "PTH", "S311", "C901"
 ]
 "tests/test_io.py" = [
   # The following rules are ignored permanently for good reasons