enable reportMissingTypeArgument

Author: cmp0xff

pandas-stubs/_libs/interval.pyi

@@ -25,7 +25,9 @@ VALID_CLOSED: frozenset[str]
 
 _OrderableScalarT = TypeVar("_OrderableScalarT", bound=int | float)
 _OrderableTimesT = TypeVar("_OrderableTimesT", bound=Timestamp | Timedelta)
-_OrderableT = TypeVar("_OrderableT", bound=int | float | Timestamp | Timedelta)
+_OrderableT = TypeVar(
+    "_OrderableT", bound=int | float | Timestamp | Timedelta, default=Any
+)
 
 @type_check_only
 class _LengthDescriptor:

pandas-stubs/_typing.pyi

@@ -774,7 +774,7 @@ XMLParsers: TypeAlias = Literal["lxml", "etree"]
 HTMLFlavors: TypeAlias = Literal["lxml", "html5lib", "bs4"]
 
 # Interval closed type
-IntervalT = TypeVar("IntervalT", bound=Interval)
+IntervalT = TypeVar("IntervalT", bound=Interval, default=Interval)
 IntervalLeftRight: TypeAlias = Literal["left", "right"]
 IntervalClosedType: TypeAlias = IntervalLeftRight | Literal["both", "neither"]
 
@@ -958,7 +958,10 @@ np_1darray_dt: TypeAlias = np_1darray[np.datetime64]
 np_1darray_td: TypeAlias = np_1darray[np.timedelta64]
 np_2darray: TypeAlias = np.ndarray[tuple[int, int], np.dtype[GenericT]]
 
-NDArrayT = TypeVar("NDArrayT", bound=np.ndarray)
+if sys.version_info >= (3, 11):
+    NDArrayT = TypeVar("NDArrayT", bound=np.ndarray)
+else:
+    NDArrayT = TypeVar("NDArrayT", bound=np.ndarray[Any, Any])
 
 DtypeNp = TypeVar("DtypeNp", bound=np.dtype[np.generic])
 KeysArgType: TypeAlias = Any
@@ -1069,7 +1072,7 @@ if TYPE_CHECKING:  # noqa: PYI002
         | Scalar
         | Period
         | Interval[int | float | Timestamp | Timedelta]
-        | tuple,
+        | tuple[Any, ...],
     )
     # Use a distinct SeriesByT when using groupby with Series of known dtype.
     # Essentially, an intersection between Series S1 TypeVar, and ByT TypeVar
@@ -1101,7 +1104,7 @@ GroupByObjectNonScalar: TypeAlias = (
     | Grouper
     | list[Grouper]
 )
-GroupByObject: TypeAlias = Scalar | Index | GroupByObjectNonScalar | Series
+GroupByObject: TypeAlias = Scalar | Index | GroupByObjectNonScalar[_HashableTa] | Series
 
 StataDateFormat: TypeAlias = Literal[
     "tc",
@@ -1124,9 +1127,9 @@ StataDateFormat: TypeAlias = Literal[
 # `DataFrame.replace` also accepts mappings of these.
 ReplaceValue: TypeAlias = (
     Scalar
-    | Pattern
+    | Pattern[Any]
     | NAType
-    | Sequence[Scalar | Pattern]
+    | Sequence[Scalar | Pattern[Any]]
     | Mapping[HashableT, ScalarT]
     | Series
     | None

pandas-stubs/core/arrays/base.pyi

@@ -2,6 +2,7 @@ from collections.abc import (
     Iterator,
     Sequence,
 )
+import sys
 from typing import (
     Any,
     Literal,
@@ -55,8 +56,13 @@ class ExtensionArray:
     def ndim(self) -> int: ...
     @property
     def nbytes(self) -> int: ...
-    @overload
-    def astype(self, dtype: np.dtype, copy: bool = True) -> np_1darray: ...
+    if sys.version_info >= (3, 11):
+        @overload
+        def astype(self, dtype: np.dtype, copy: bool = True) -> np_1darray: ...
+    else:
+        @overload
+        def astype(self, dtype: np.dtype[Any], copy: bool = True) -> np_1darray: ...
+
     @overload
     def astype(self, dtype: ExtensionDtype, copy: bool = True) -> ExtensionArray: ...
     @overload

pandas-stubs/core/arrays/datetimes.pyi

@@ -1,4 +1,6 @@
 from datetime import tzinfo as _tzinfo
+import sys
+from typing import Any
 
 import numpy as np
 from pandas.core.arrays.datetimelike import (
@@ -19,8 +21,13 @@ class DatetimeArray(DatetimeLikeArrayMixin, TimelikeOps, DatelikeOps):
     __array_priority__: int = ...
     def __init__(self, values, dtype=..., freq=..., copy: bool = ...) -> None: ...
     # ignore in dtype() is from the pandas source
-    @property
-    def dtype(self) -> np.dtype | DatetimeTZDtype: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
+    if sys.version_info >= (3, 11):
+        @property
+        def dtype(self) -> np.dtype | DatetimeTZDtype: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
+    else:
+        @property
+        def dtype(self) -> np.dtype[Any] | DatetimeTZDtype: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
+
     @property
     def tz(self): ...
     @tz.setter

pandas-stubs/core/arrays/numpy_.pyi

@@ -1,3 +1,6 @@
+import sys
+from typing import Any
+
 import numpy as np
 from numpy.lib.mixins import NDArrayOperatorsMixin
 from pandas.core.arrays.base import (
@@ -8,8 +11,13 @@ from pandas.core.arrays.base import (
 from pandas.core.dtypes.dtypes import ExtensionDtype
 
 class PandasDtype(ExtensionDtype):
-    @property
-    def numpy_dtype(self) -> np.dtype: ...
+    if sys.version_info >= (3, 11):
+        @property
+        def numpy_dtype(self) -> np.dtype: ...
+    else:
+        @property
+        def numpy_dtype(self) -> np.dtype[Any]: ...
+
     @property
     def itemsize(self) -> int: ...
 

pandas-stubs/core/computation/ops.pyi

@@ -1,3 +1,4 @@
+import sys
 from typing import Any
 
 import numpy as np
@@ -75,8 +76,12 @@ class UnaryOp(Op):
     func = ...
     def __init__(self, op: str, operand) -> None: ...
     def __call__(self, env): ...
-    @property
-    def return_type(self) -> np.dtype: ...
+    if sys.version_info >= (3, 11):
+        @property
+        def return_type(self) -> np.dtype: ...
+    else:
+        @property
+        def return_type(self) -> np.dtype[Any]: ...
 
 class MathCall(Op):
     func = ...

pandas-stubs/core/construction.pyi

@@ -1,5 +1,9 @@
 from collections.abc import Sequence
-from typing import overload
+import sys
+from typing import (
+    Any,
+    overload,
+)
 
 import numpy as np
 from pandas.core.arrays.base import ExtensionArray
@@ -40,9 +44,19 @@ def array(
     dtype: PandasFloatDtypeArg | None = None,
     copy: bool = True,
 ) -> FloatingArray: ...
-@overload
-def array(
-    data: Sequence[object],
-    dtype: str | np.dtype | ExtensionDtype | None = None,
-    copy: bool = True,
-) -> ExtensionArray: ...
+
+if sys.version_info >= (3, 11):
+    @overload
+    def array(
+        data: Sequence[object],
+        dtype: str | np.dtype | ExtensionDtype | None = None,
+        copy: bool = True,
+    ) -> ExtensionArray: ...
+
+else:
+    @overload
+    def array(
+        data: Sequence[object],
+        dtype: str | np.dtype[Any] | ExtensionDtype | None = None,
+        copy: bool = True,
+    ) -> ExtensionArray: ...

pandas-stubs/core/dtypes/dtypes.pyi

@@ -1,4 +1,5 @@
 import datetime as dt
+import sys
 from typing import (
     Any,
     Literal,
@@ -59,5 +60,9 @@ class PeriodDtype(PandasExtensionDtype):
 
 class IntervalDtype(PandasExtensionDtype):
     def __init__(self, subtype: str | npt.DTypeLike | None = ...) -> None: ...
-    @property
-    def subtype(self) -> np.dtype | None: ...
+    if sys.version_info >= (3, 11):
+        @property
+        def subtype(self) -> np.dtype | None: ...
+    else:
+        @property
+        def subtype(self) -> np.dtype[Any] | None: ...