refactor: #1168 *args: Any and **kwargs: Any

pandas-stubs/_libs/json.pyi

@@ -1,4 +1,6 @@
-def decode(*args, **kwargs): ...
-def dumps(*args, **kwargs): ...
-def encode(*args, **kwargs): ...
-def loads(*args, **kwargs): ...
+from typing import Any
+
+def decode(*args: Any, **kwargs: Any): ...
+def dumps(*args: Any, **kwargs: Any): ...
+def encode(*args: Any, **kwargs: Any): ...
+def loads(*args: Any, **kwargs: Any): ...

pandas-stubs/_libs/tslibs/parsing.pyi

@@ -1,2 +1,4 @@
+from typing import Any
+
 class DateParseError(ValueError):
-    def __init__(self, *args, **kwargs) -> None: ...
+    def __init__(self, *args: Any, **kwargs: Any) -> None: ...

pandas-stubs/_testing/__init__.pyi

@@ -5,6 +5,7 @@ from collections.abc import (
 )
 from contextlib import contextmanager
 from typing import (
+    Any,
     Literal,
     overload,
 )
@@ -38,7 +39,7 @@ def assert_almost_equal(
     check_dtype: bool | Literal["equiv"] = "equiv",
     rtol: float = 1e-5,
     atol: float = 1e-8,
-    **kwargs,
+    **kwargs: Any,
 ) -> None: ...
 def assert_dict_equal(left: dict, right: dict, compare_keys: bool = True) -> None: ...
 def assert_index_equal(
@@ -172,7 +173,7 @@ def assert_frame_equal(
     atol: float = 1e-8,
     obj: str = "DataFrame",
 ) -> None: ...
-def assert_equal(left, right, **kwargs) -> None: ...
+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: ...

pandas-stubs/core/arrays/base.pyi

@@ -46,7 +46,7 @@ class ExtensionArray:
     def astype(self, dtype, copy: bool = True): ...
     def isna(self) -> ArrayLike: ...
     def argsort(
-        self, *, ascending: bool = ..., kind: str = ..., **kwargs
+        self, *, ascending: bool = ..., kind: str = ..., **kwargs: Any
     ) -> np_1darray: ...
     def fillna(self, value=..., method=None, limit=None): ...
     def dropna(self): ...
@@ -67,14 +67,14 @@ class ExtensionArray:
     def ravel(self, order="C") -> Self: ...
     def tolist(self) -> list: ...
     def _reduce(
-        self, name: str, *, skipna: bool = ..., keepdims: bool = ..., **kwargs
+        self, name: str, *, skipna: bool = ..., keepdims: bool = ..., **kwargs: Any
     ) -> object: ...
     def _accumulate(
         self,
         name: Literal["cummin", "cummax", "cumsum", "cumprod"],
         *,
         skipna: bool = True,
-        **kwargs,
+        **kwargs: Any,
     ) -> Self: ...
 
 class ExtensionOpsMixin:

pandas-stubs/core/arrays/boolean.pyi

@@ -1,3 +1,5 @@
+from typing import Any
+
 import numpy as np
 from pandas.core.arrays.masked import BaseMaskedArray as BaseMaskedArray
 
@@ -18,8 +20,8 @@ class BooleanArray(BaseMaskedArray):
     ) -> None: ...
     @property
     def dtype(self): ...
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): ...
+    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): ...
-    def all(self, *, skipna: bool = ..., **kwargs): ...
+    def any(self, *, skipna: bool = ..., **kwargs: Any): ...
+    def all(self, *, skipna: bool = ..., **kwargs: Any): ...

pandas-stubs/core/arrays/categorical.pyi

@@ -90,7 +90,7 @@ class Categorical(ExtensionArray):
     def shape(self): ...
     def shift(self, periods=1, fill_value=...): ...
     def __array__(self, dtype=...) -> np_1darray: ...
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): ...
+    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs: Any): ...
     @property
     def T(self): ...
     @property
@@ -103,7 +103,7 @@ class Categorical(ExtensionArray):
     def dropna(self): ...
     def value_counts(self, dropna: bool = True): ...
     def check_for_ordered(self, op) -> None: ...
-    def argsort(self, *, ascending: bool = ..., kind: str = ..., **kwargs): ...
+    def argsort(self, *, ascending: bool = ..., kind: str = ..., **kwargs: Any): ...
     def sort_values(
         self, *, inplace: bool = ..., ascending: bool = ..., na_position: str = ...
     ): ...

pandas-stubs/core/arrays/datetimelike.pyi

@@ -1,5 +1,6 @@
 from collections.abc import Sequence
 from typing import (
+    Any,
     TypeAlias,
     overload,
 )
@@ -58,8 +59,8 @@ class DatetimeLikeArrayMixin(ExtensionOpsMixin, ExtensionArray):
     def ndim(self) -> int: ...
     @property
     def shape(self): ...
-    def reshape(self, *args, **kwargs): ...
-    def ravel(self, *args, **kwargs): ...  # pyrefly: ignore
+    def reshape(self, *args: Any, **kwargs: Any): ...
+    def ravel(self, *args: Any, **kwargs: Any): ...  # pyrefly: ignore
     def __iter__(self): ...
     @property
     def asi8(self) -> np.ndarray: ...
@@ -84,7 +85,7 @@ class DatetimeLikeArrayMixin(ExtensionOpsMixin, ExtensionArray):
     def unique(self): ...
     def copy(self): ...
     def shift(self, periods: int = 1, fill_value=..., axis: int = ...): ...
-    def repeat(self, repeats, *args, **kwargs): ...  # pyrefly: ignore
+    def repeat(self, repeats, *args: Any, **kwargs: Any): ...  # pyrefly: ignore
     def value_counts(self, dropna: bool = True): ...
     def map(self, mapper): ...
     def isna(self): ...
@@ -108,6 +109,6 @@ class DatetimeLikeArrayMixin(ExtensionOpsMixin, ExtensionArray):
     def __rsub__(self, other): ...
     def __iadd__(self, other): ...
     def __isub__(self, other): ...
-    def min(self, *, axis=..., skipna: bool = ..., **kwargs): ...
-    def max(self, *, axis=..., skipna: bool = ..., **kwargs): ...
+    def min(self, *, axis=..., skipna: bool = ..., **kwargs: Any): ...
+    def max(self, *, axis=..., skipna: bool = ..., **kwargs: Any): ...
     def mean(self, *, skipna: bool = ...): ...

pandas-stubs/core/arrays/integer.pyi

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

@@ -1,4 +1,5 @@
 from typing import (
+    Any,
     TypeAlias,
     overload,
 )
@@ -83,7 +84,7 @@ class IntervalArray(IntervalMixin, ExtensionArray):
         allow_fill: bool = ...,
         fill_value=...,
         axis=...,
-        **kwargs,
+        **kwargs: Any,
     ) -> Self: ...
     def value_counts(self, dropna: bool = True): ...
     @property

pandas-stubs/core/arrays/numpy_.pyi

@@ -1,3 +1,5 @@
+from typing import Any
+
 import numpy as np
 from numpy.lib.mixins import NDArrayOperatorsMixin
 from pandas.core.arrays.base import (
@@ -14,4 +16,4 @@ class PandasDtype(ExtensionDtype):
     def itemsize(self) -> int: ...
 
 class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): ...
+    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs: Any): ...

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

@@ -71,12 +71,12 @@ class SparseArray(ExtensionArray, ExtensionOpsMixin):
     def map(self, mapper): ...
     def to_dense(self): ...
     def nonzero(self): ...
-    def all(self, axis=..., *args, **kwargs): ...
-    def any(self, axis: int = ..., *args, **kwargs): ...
-    def sum(self, axis: int = 0, *args, **kwargs): ...
-    def cumsum(self, axis: int = ..., *args, **kwargs): ...
-    def mean(self, axis: int = ..., *args, **kwargs): ...
+    def all(self, axis=..., *args: Any, **kwargs: Any): ...
+    def any(self, axis: int = ..., *args: Any, **kwargs: Any): ...
+    def sum(self, axis: int = 0, *args: Any, **kwargs: Any): ...
+    def cumsum(self, axis: int = ..., *args: Any, **kwargs: Any): ...
+    def mean(self, axis: int = ..., *args: Any, **kwargs: Any): ...
     @property
     def T(self): ...
-    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): ...
+    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs: Any): ...
     def __abs__(self): ...

pandas-stubs/core/base.pyi

@@ -55,7 +55,7 @@ class SelectionMixin(Generic[NDFrameT]):
     @cache_readonly
     def ndim(self) -> int: ...
     def __getitem__(self, key): ...
-    def aggregate(self, func, *args, **kwargs): ...
+    def aggregate(self, func, *args: Any, **kwargs: Any): ...
 
 class IndexOpsMixin(OpsMixin, Generic[S1, GenericT_co]):
     __array_priority__: int = ...

pandas-stubs/core/computation/expr.pyi

@@ -1,4 +1,5 @@
 import ast
+from typing import Any
 
 from pandas.core.computation.ops import Term as Term
 from pandas.core.computation.scope import Scope as Scope
@@ -19,27 +20,27 @@ class BaseExprVisitor(ast.NodeVisitor):
     preparser = ...
     assigner = ...
     def __init__(self, env, engine, parser, preparser=...) -> None: ...
-    def visit(self, node, **kwargs): ...
-    def visit_Module(self, node, **kwargs): ...
-    def visit_Expr(self, node, **kwargs): ...
-    def visit_BinOp(self, node, **kwargs): ...
-    def visit_Div(self, node, **kwargs): ...
-    def visit_UnaryOp(self, node, **kwargs): ...
-    def visit_Name(self, node, **kwargs): ...
-    def visit_NameConstant(self, node, **kwargs): ...
-    def visit_Num(self, node, **kwargs): ...
-    def visit_Constant(self, node, **kwargs): ...
-    def visit_Str(self, node, **kwargs): ...
-    def visit_List(self, node, **kwargs): ...
-    def visit_Index(self, node, **kwargs): ...
-    def visit_Subscript(self, node, **kwargs): ...
-    def visit_Slice(self, node, **kwargs): ...
-    def visit_Assign(self, node, **kwargs): ...
-    def visit_Attribute(self, node, **kwargs): ...
-    def visit_Call(self, node, side=..., **kwargs): ...
+    def visit(self, node, **kwargs: Any): ...
+    def visit_Module(self, node, **kwargs: Any): ...
+    def visit_Expr(self, node, **kwargs: Any): ...
+    def visit_BinOp(self, node, **kwargs: Any): ...
+    def visit_Div(self, node, **kwargs: Any): ...
+    def visit_UnaryOp(self, node, **kwargs: Any): ...
+    def visit_Name(self, node, **kwargs: Any): ...
+    def visit_NameConstant(self, node, **kwargs: Any): ...
+    def visit_Num(self, node, **kwargs: Any): ...
+    def visit_Constant(self, node, **kwargs: Any): ...
+    def visit_Str(self, node, **kwargs: Any): ...
+    def visit_List(self, node, **kwargs: Any): ...
+    def visit_Index(self, node, **kwargs: Any): ...
+    def visit_Subscript(self, node, **kwargs: Any): ...
+    def visit_Slice(self, node, **kwargs: Any): ...
+    def visit_Assign(self, node, **kwargs: Any): ...
+    def visit_Attribute(self, node, **kwargs: Any): ...
+    def visit_Call(self, node, side=..., **kwargs: Any): ...
     def translate_In(self, op): ...
-    def visit_Compare(self, node, **kwargs): ...
-    def visit_BoolOp(self, node, **kwargs): ...
+    def visit_Compare(self, node, **kwargs: Any): ...
+    def visit_BoolOp(self, node, **kwargs: Any): ...
 
 class Expr:
     env: Scope

pandas-stubs/core/computation/ops.pyi

@@ -1,3 +1,5 @@
+from typing import Any
+
 import numpy as np
 
 class UndefinedVariableError(NameError):
@@ -12,8 +14,8 @@ class Term:
     def __init__(self, name, env, side=..., encoding=...) -> None: ...
     @property
     def local_name(self) -> str: ...
-    def __call__(self, *args, **kwargs): ...
-    def evaluate(self, *args, **kwargs): ...
+    def __call__(self, *args: Any, **kwargs: Any): ...
+    def evaluate(self, *args: Any, **kwargs: Any): ...
     def update(self, value) -> None: ...
     @property
     def is_scalar(self) -> bool: ...
@@ -41,7 +43,7 @@ class Op:
     op: str
     operands = ...
     encoding = ...
-    def __init__(self, op: str, operands, *args, **kwargs) -> None: ...
+    def __init__(self, op: str, operands, *args: Any, **kwargs: Any) -> None: ...
     def __iter__(self): ...
     @property
     def return_type(self): ...
@@ -58,15 +60,15 @@ class BinOp(Op):
     lhs = ...
     rhs = ...
     func = ...
-    def __init__(self, op: str, lhs, rhs, **kwargs) -> None: ...
+    def __init__(self, op: str, lhs, rhs, **kwargs: Any) -> None: ...
     def __call__(self, env): ...
     def evaluate(self, env, engine: str, parser, term_type, eval_in_python): ...
     def convert_values(self): ...
 
 def isnumeric(dtype) -> bool: ...
 
 class Div(BinOp):
-    def __init__(self, lhs, rhs, **kwargs) -> None: ...
+    def __init__(self, lhs, rhs, **kwargs: Any) -> None: ...
 
 class UnaryOp(Op):
     operand = ...
@@ -85,4 +87,4 @@ class FuncNode:
     name = ...
     func = ...
     def __init__(self, name: str) -> None: ...
-    def __call__(self, *args): ...
+    def __call__(self, *args: Any): ...

pandas-stubs/core/computation/pytables.pyi

@@ -77,12 +77,12 @@ class UnaryOp(ops.UnaryOp):
 class PyTablesExprVisitor(BaseExprVisitor):
     const_type = ...
     term_type = ...
-    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): ...
-    def visit_Subscript(self, node, **kwargs): ...
-    def visit_Attribute(self, node, **kwargs): ...
+    def __init__(self, env, engine, parser, **kwargs: Any) -> None: ...
+    def visit_UnaryOp(self, node, **kwargs: Any): ...
+    def visit_Index(self, node, **kwargs: Any): ...
+    def visit_Assign(self, node, **kwargs: Any): ...
+    def visit_Subscript(self, node, **kwargs: Any): ...
+    def visit_Attribute(self, node, **kwargs: Any): ...
     def translate_In(self, op): ...
 
 class PyTablesExpr(expr.Expr):

pandas-stubs/core/generic.pyi

@@ -438,7 +438,7 @@ class NDFrame(indexing.IndexingMixin):
         **kwargs: Any,
     ) -> T: ...
     @final
-    def __finalize__(self, other, method=..., **kwargs) -> Self: ...
+    def __finalize__(self, other, method=..., **kwargs: Any) -> Self: ...
     @final
     def __setattr__(self, name: _str, value) -> None: ...
     @final