🐛 fix import-related mypy errors

src/numpy-stubs/_typing/_array_like.pyi

@@ -1,7 +1,7 @@
 import sys
 from collections.abc import Callable, Collection, Sequence
-from typing import Any, Never as _UnknownType, Protocol, TypeAlias, runtime_checkable
-from typing_extensions import TypeVar
+from typing import Any, Protocol, TypeAlias, runtime_checkable
+from typing_extensions import Never, TypeVar
 
 import numpy as np
 from numpy.dtypes import StringDType
@@ -23,6 +23,7 @@ _DType = TypeVar("_DType", bound=np.dtype[Any])
 _DType_co = TypeVar("_DType_co", covariant=True, bound=np.dtype[Any])
 
 NDArray: TypeAlias = np.ndarray[_Shape, np.dtype[_ScalarType_co]]
+_UnknownType: TypeAlias = Never
 
 # The `_SupportsArray` protocol only cares about the default dtype
 # (i.e. `dtype=None` or no `dtype` parameter at all) of the to-be returned

src/numpy-stubs/_typing/_callable.pyi

@@ -111,7 +111,7 @@ class _IntTrueDiv(Protocol[_NBit1]):
     @overload
     def __call__(self, other: float, /) -> np.floating[_NBit1] | np.float64: ...
     @overload
-    def __call__(self, other: complex, /) -> np.complexnp.floating[_NBit1] | np.complex128: ...
+    def __call__(self, other: complex, /) -> np.complexfloating[_NBit1] | np.complex128: ...
     @overload
     def __call__(self, other: np.integer[_NBit2], /) -> np.floating[_NBit1] | np.floating[_NBit2]: ...
 

src/numpy-stubs/lib/_function_base_impl.pyi

@@ -299,7 +299,7 @@ def interp(
 def interp(
     x: _FloatLike_co,
     xp: _ArrayLikeFloat_co,
-    fp: Sequence[complex | np.ccomplexfloating],
+    fp: Sequence[complex | np.complexfloating],
     left: _NumberLike_co | None = None,
     right: _NumberLike_co | None = None,
     period: _FloatLike_co | None = None,

src/numpy-stubs/lib/_nanfunctions_impl.pyi

@@ -1,9 +1,18 @@
-from numpy._core.fromnumeric import amax, amin, argmax, argmin, cumprod, cumsum, mean, prod, std, sum, var
-from numpy.lib._function_base_impl import (
-    median,
-    percentile,
-    quantile,
+# NOTE: In reality these functions are not aliases but distinct functions with identical signatures.
+from numpy._core.fromnumeric import (
+    amax as nanmax,
+    amin as nanmin,
+    argmax as nanargmax,
+    argmin as nanargmin,
+    cumprod as nancumprod,
+    cumsum as nancumsum,
+    mean as nanmean,
+    prod as nanprod,
+    std as nanstd,
+    sum as nansum,
+    var as nanvar,
 )
+from numpy.lib._function_base_impl import median as nanmedian, percentile as nanpercentile, quantile as nanquantile
 
 __all__ = [
     "nanargmax",
@@ -21,20 +30,3 @@ __all__ = [
     "nansum",
     "nanvar",
 ]
-
-# NOTE: In reality these functions are not aliases but distinct functions
-# with identical signatures.
-nanmin = amin
-nanmax = amax
-nanargmin = argmin
-nanargmax = argmax
-nansum = sum
-nanprod = prod
-nancumsum = cumsum
-nancumprod = cumprod
-nanmean = mean
-nanvar = var
-nanstd = std
-nanmedian = median
-nanpercentile = percentile
-nanquantile = quantile

src/numpy-stubs/lib/_polynomial_impl.pyi

@@ -17,7 +17,7 @@ from numpy._typing import (
 _T = TypeVar("_T")
 
 _2Tup: TypeAlias = tuple[_T, _T]
-_5Tup: TypeAlias = tuple[_T, NDArray[np.np.float64], NDArray[np.int32], NDArray[np.float64], NDArray[np.float64]]
+_5Tup: TypeAlias = tuple[_T, NDArray[np.float64], NDArray[np.int32], NDArray[np.float64], NDArray[np.float64]]
 
 __all__ = ["poly", "poly1d", "polyadd", "polyder", "polydiv", "polyfit", "polyint", "polymul", "polysub", "polyval", "roots"]
 

src/numpy-stubs/lib/_twodim_base_impl.pyi

@@ -137,9 +137,9 @@ def vander(x: _ArrayLikeComplex_co, N: int | None = ..., increasing: bool = ...)
 @overload
 def vander(x: _ArrayLikeObject_co, N: int | None = ..., increasing: bool = ...) -> NDArray[np.object_]: ...
 
-_Int_co: TypeAlias = np.integer[Any] | np.bool
-_Float_co: TypeAlias = np.floating[Any] | _Int_co
-_Number_co: TypeAlias = np.np.number | np.bool
+_Int_co: TypeAlias = np.integer | np.bool
+_Float_co: TypeAlias = np.floating | _Int_co
+_Number_co: TypeAlias = np.number | np.bool
 
 _ArrayLike1D: TypeAlias = _SupportsArray[np.dtype[_SCT]] | Sequence[_SCT]
 _ArrayLike2D: TypeAlias = _SupportsArray[np.dtype[_SCT]] | Sequence[_ArrayLike1D[_SCT]]

src/numpy-stubs/lib/format.pyi

@@ -1,24 +1,39 @@
-from ._format_impl import (
-    ARRAY_ALIGN as ARRAY_ALIGN,
-    BUFFER_SIZE as BUFFER_SIZE,
-    EXPECTED_KEYS as EXPECTED_KEYS,
-    GROWTH_AXIS_MAX_DIGITS as GROWTH_AXIS_MAX_DIGITS,
-    MAGIC_LEN as MAGIC_LEN,
-    MAGIC_PREFIX as MAGIC_PREFIX,
-    __all__ as __all__,
-    __doc__ as __doc__,
-    descr_to_dtype as descr_to_dtype,
-    drop_metadata as drop_metadata,
-    dtype_to_descr as dtype_to_descr,
-    header_data_from_array_1_0 as header_data_from_array_1_0,
-    isfileobj as isfileobj,
-    magic as magic,
-    open_memmap as open_memmap,
-    read_array as read_array,
-    read_array_header_1_0 as read_array_header_1_0,
-    read_array_header_2_0 as read_array_header_2_0,
-    read_magic as read_magic,
-    write_array as write_array,
-    write_array_header_1_0 as write_array_header_1_0,
-    write_array_header_2_0 as write_array_header_2_0,
-)
+from _typeshed import Incomplete
+from typing import Final, Literal
+
+__all__: list[str] = []
+
+EXPECTED_KEYS: Final[set[str]]
+MAGIC_PREFIX: Final[bytes]
+MAGIC_LEN: Literal[8]
+ARRAY_ALIGN: Literal[64]
+BUFFER_SIZE: Literal[262144]  # 2**18
+GROWTH_AXIS_MAX_DIGITS: Literal[21]
+
+def magic(major: Incomplete, minor: Incomplete) -> Incomplete: ...
+def read_magic(fp: Incomplete) -> Incomplete: ...
+def dtype_to_descr(dtype: Incomplete) -> Incomplete: ...
+def descr_to_dtype(descr: Incomplete) -> Incomplete: ...
+def header_data_from_array_1_0(array: Incomplete) -> Incomplete: ...
+def write_array_header_1_0(fp: Incomplete, d: Incomplete) -> Incomplete: ...
+def write_array_header_2_0(fp: Incomplete, d: Incomplete) -> Incomplete: ...
+def read_array_header_1_0(fp: Incomplete) -> Incomplete: ...
+def read_array_header_2_0(fp: Incomplete) -> Incomplete: ...
+def write_array(
+    fp: Incomplete,
+    array: Incomplete,
+    version: Incomplete = ...,
+    allow_pickle: Incomplete = ...,
+    pickle_kwargs: Incomplete = ...,
+) -> Incomplete: ...
+def read_array(fp: Incomplete, allow_pickle: Incomplete = ..., pickle_kwargs: Incomplete = ...) -> Incomplete: ...
+def open_memmap(
+    filename: Incomplete,
+    mode: Incomplete = ...,
+    dtype: Incomplete = ...,
+    shape: Incomplete = ...,
+    fortran_order: Incomplete = ...,
+    version: Incomplete = ...,
+) -> Incomplete: ...
+def isfileobj(f: Incomplete) -> Incomplete: ...
+def drop_metadata(dtype: Incomplete, /) -> Incomplete: ...