diff --git a/src/_numtype/__init__.pyi b/src/_numtype/__init__.pyi
index 007260aa..f5692476 100644
--- a/src/_numtype/__init__.pyi
+++ b/src/_numtype/__init__.pyi
@@ -154,6 +154,7 @@ from ._shape import (
     Shape3N as Shape3N,
     Shape4 as Shape4,
     Shape4N as Shape4N,
+    ShapeLike as ShapeLike,
 )
 
 ###
diff --git a/src/_numtype/_shape.pyi b/src/_numtype/_shape.pyi
index e8899833..a6cdcc3e 100644
--- a/src/_numtype/_shape.pyi
+++ b/src/_numtype/_shape.pyi
@@ -1,4 +1,5 @@
-from typing import Any, Never, TypeAlias
+from collections.abc import Sequence
+from typing import Any, Never, SupportsIndex, TypeAlias
 from typing_extensions import TypeAliasType
 
 __all__ = [
@@ -15,6 +16,7 @@ __all__ = [
     "Shape3N",
     "Shape4",
     "Shape4N",
+    "ShapeLike",
     "ShapeN",
 ]
 
@@ -35,3 +37,5 @@ Shape1N = TypeAliasType("Shape1N", tuple[int, *tuple[int, ...]])
 Shape2N = TypeAliasType("Shape2N", tuple[int, int, *tuple[int, ...]])
 Shape3N = TypeAliasType("Shape3N", tuple[int, int, int, *tuple[int, ...]])
 Shape4N = TypeAliasType("Shape4N", tuple[int, int, int, int, *tuple[int, ...]])
+
+ShapeLike: TypeAlias = SupportsIndex | Sequence[SupportsIndex]
diff --git a/src/numpy-stubs/__init__.pyi b/src/numpy-stubs/__init__.pyi
index 78521987..220fbee3 100644
--- a/src/numpy-stubs/__init__.pyi
+++ b/src/numpy-stubs/__init__.pyi
@@ -346,7 +346,6 @@ from ._typing import (
     _NestedSequence,
     _NumberLike_co,
     _ScalarLike_co,
-    _ShapeLike,
     _TD64Like_co,
 )
 from .lib import scimath as emath
@@ -1322,7 +1321,7 @@ class _ArrayOrScalarCommon:
     def copy(self, order: _OrderKACF = ...) -> Self: ...
     def __copy__(self) -> Self: ...
     def __deepcopy__(self, memo: dict[int, Any] | None, /) -> Self: ...
-    def __setstate__(self, state: tuple[CanIndex, _ShapeLike, _DTypeT_co, bool_, bytes | list[Any]], /) -> None: ...
+    def __setstate__(self, state: tuple[CanIndex, _nt.ShapeLike, _DTypeT_co, bool_, bytes | list[Any]], /) -> None: ...
     def __array_namespace__(self, /, *, api_version: _ArrayAPIVersion | None = None) -> ModuleType: ...
 
     #
@@ -1351,7 +1350,7 @@ class _ArrayOrScalarCommon:
     def max(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         out: None = None,
         *,
         keepdims: py_bool | _NoValueType = ...,
@@ -1362,7 +1361,7 @@ class _ArrayOrScalarCommon:
     def max(
         self,
         /,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         out: _ArrayT,
         *,
         keepdims: py_bool | _NoValueType = ...,
@@ -1373,7 +1372,7 @@ class _ArrayOrScalarCommon:
     def max(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         *,
         out: _ArrayT,
         keepdims: py_bool | _NoValueType = ...,
@@ -1396,7 +1395,7 @@ class _ArrayOrScalarCommon:
     def min(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         out: None = None,
         *,
         keepdims: py_bool | _NoValueType = ...,
@@ -1407,7 +1406,7 @@ class _ArrayOrScalarCommon:
     def min(
         self,
         /,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         out: _ArrayT,
         *,
         keepdims: py_bool | _NoValueType = ...,
@@ -1418,7 +1417,7 @@ class _ArrayOrScalarCommon:
     def min(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         *,
         out: _ArrayT,
         keepdims: py_bool | _NoValueType = ...,
@@ -1492,7 +1491,7 @@ class _ArrayOrScalarCommon:
     def sum(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         *,
@@ -1504,7 +1503,7 @@ class _ArrayOrScalarCommon:
     def sum(
         self,
         /,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         dtype: DTypeLike | None,
         out: _ArrayT,
         *,
@@ -1516,7 +1515,7 @@ class _ArrayOrScalarCommon:
     def sum(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1540,7 +1539,7 @@ class _ArrayOrScalarCommon:
     def prod(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         *,
@@ -1552,7 +1551,7 @@ class _ArrayOrScalarCommon:
     def prod(
         self,
         /,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         dtype: DTypeLike | None,
         out: _ArrayT,
         *,
@@ -1564,7 +1563,7 @@ class _ArrayOrScalarCommon:
     def prod(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1577,7 +1576,7 @@ class _ArrayOrScalarCommon:
     @overload
     def mean(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         *,
@@ -1588,7 +1587,7 @@ class _ArrayOrScalarCommon:
     def mean(
         self,
         /,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         dtype: DTypeLike | None,
         out: _ArrayT,
         *,
@@ -1599,7 +1598,7 @@ class _ArrayOrScalarCommon:
     def mean(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1611,7 +1610,7 @@ class _ArrayOrScalarCommon:
     @overload
     def std(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         ddof: float = 0,
@@ -1624,7 +1623,7 @@ class _ArrayOrScalarCommon:
     @overload
     def std(
         self,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         dtype: DTypeLike | None,
         out: _ArrayT,
         ddof: float = 0,
@@ -1637,7 +1636,7 @@ class _ArrayOrScalarCommon:
     @overload
     def std(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1652,7 +1651,7 @@ class _ArrayOrScalarCommon:
     @overload
     def var(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         ddof: float = 0,
@@ -1665,7 +1664,7 @@ class _ArrayOrScalarCommon:
     @overload
     def var(
         self,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         dtype: DTypeLike | None,
         out: _ArrayT,
         ddof: float = 0,
@@ -1678,7 +1677,7 @@ class _ArrayOrScalarCommon:
     @overload
     def var(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1751,11 +1750,11 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeT_co, _DTypeT_co]):
     #
     def __new__(
         cls,
-        shape: _ShapeLike,
+        shape: _nt.ShapeLike,
         dtype: DTypeLike | None = float,  # noqa: PYI011
         buffer: Buffer | None = None,
         offset: CanIndex = 0,
-        strides: _ShapeLike | None = None,
+        strides: _nt.ShapeLike | None = None,
         order: _OrderKACF | None = None,
     ) -> Self: ...
 
@@ -2775,7 +2774,7 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeT_co, _DTypeT_co]):
 
     #
     @overload
-    def transpose(self, axes: _ShapeLike | None, /) -> Self: ...
+    def transpose(self, axes: _nt.ShapeLike | None, /) -> Self: ...
     @overload
     def transpose(self, /, *axes: CanIndex) -> Self: ...
 
diff --git a/src/numpy-stubs/_core/_multiarray_umath.pyi b/src/numpy-stubs/_core/_multiarray_umath.pyi
index bbd85b3a..d316b813 100644
--- a/src/numpy-stubs/_core/_multiarray_umath.pyi
+++ b/src/numpy-stubs/_core/_multiarray_umath.pyi
@@ -33,7 +33,6 @@ from numpy._typing import (
     _ArrayLikeNumber_co,
     _DTypeLike,
     _ScalarLike_co,
-    _ShapeLike,
     _SupportsArrayFunc as _CanArrayFunc,
     _SupportsDType as _HasDType,
 )
@@ -360,7 +359,7 @@ class nditer:
         order: _OrderKACF = "K",
         casting: _CastingKind = "safe",
         op_axes: _OpAxes = None,
-        itershape: _ShapeLike | None = None,
+        itershape: _nt.ShapeLike | None = None,
         buffersize: CanIndex = 0,
     ) -> None: ...
     @overload
@@ -374,7 +373,7 @@ class nditer:
         order: _OrderKACF = "K",
         casting: _CastingKind = "safe",
         op_axes: Sequence[_OpAxes] | None = None,
-        itershape: _ShapeLike | None = None,
+        itershape: _nt.ShapeLike | None = None,
         buffersize: CanIndex = 0,
     ) -> None: ...
 
@@ -561,7 +560,7 @@ def empty(
 ) -> _nt.Array[Incomplete, _AnyShapeT]: ...
 @overload  # unknown shape, default dtype
 def empty(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _nt.ToDTypeFloat64 | None = None,
     order: _OrderCF = "C",
     *,
@@ -570,7 +569,7 @@ def empty(
 ) -> _nt.Array[np.float64]: ...
 @overload  # unknown shape, known dtype
 def empty(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _DTypeT | _HasDType[_DTypeT],
     order: _OrderCF = "C",
     *,
@@ -579,7 +578,7 @@ def empty(
 ) -> np.ndarray[Incomplete, _DTypeT]: ...
 @overload  # unknown shape, known scalar-type
 def empty(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _DTypeLike[_ScalarT],
     order: _OrderCF = "C",
     *,
@@ -588,7 +587,7 @@ def empty(
 ) -> _nt.Array[_ScalarT]: ...
 @overload  # unknown shape, unknown dtype
 def empty(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: npt.DTypeLike | None = None,
     order: _OrderCF = "C",
     *,
@@ -671,7 +670,7 @@ def zeros(
 ) -> _nt.Array[Incomplete, _AnyShapeT]: ...
 @overload  # unknown shape, default dtype
 def zeros(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _nt.ToDTypeFloat64 = ...,
     order: _OrderCF = "C",
     *,
@@ -680,7 +679,7 @@ def zeros(
 ) -> _nt.Array[np.float64]: ...
 @overload  # unknown shape, known dtype
 def zeros(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _DTypeT | _HasDType[_DTypeT],
     order: _OrderCF = "C",
     *,
@@ -689,7 +688,7 @@ def zeros(
 ) -> np.ndarray[Incomplete, _DTypeT]: ...
 @overload  # unknown shape, known scalar-type
 def zeros(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _DTypeLike[_ScalarT],
     order: _OrderCF = "C",
     *,
@@ -698,7 +697,7 @@ def zeros(
 ) -> _nt.Array[_ScalarT]: ...
 @overload  # unknown shape, unknown dtype
 def zeros(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: npt.DTypeLike | None = None,
     order: _OrderCF = "C",
     *,
@@ -967,7 +966,7 @@ def empty_like(
     dtype: np.dtype[_ScalarT] | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -989,7 +988,7 @@ def empty_like(
     dtype: _DTypeT | _HasDType[_DTypeT],
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> np.ndarray[Incomplete, _DTypeT]: ...
@@ -1011,7 +1010,7 @@ def empty_like(
     dtype: _DTypeLike[_ScalarT],
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -1022,7 +1021,7 @@ def empty_like(
     dtype: _nt.ToDTypeBool | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.bool_]: ...
@@ -1033,7 +1032,7 @@ def empty_like(
     dtype: _nt.ToDTypeInt64 | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.intp]: ...
@@ -1044,7 +1043,7 @@ def empty_like(
     dtype: _nt.ToDTypeFloat64 | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.float64]: ...
@@ -1055,7 +1054,7 @@ def empty_like(
     dtype: _nt.ToDTypeComplex128 | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.complex128]: ...
@@ -1077,7 +1076,7 @@ def empty_like(
     dtype: npt.DTypeLike | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[Incomplete]: ...
@@ -1630,24 +1629,24 @@ def putmask(a: _nt.Array, /, mask: _nt.ToBool_nd, values: npt.ArrayLike) -> None
 
 #
 @overload
-def unravel_index(indices: _ToInt, shape: _ShapeLike, order: _OrderCF = "C") -> tuple[np.intp, ...]: ...
+def unravel_index(indices: _ToInt, shape: _nt.ShapeLike, order: _OrderCF = "C") -> tuple[np.intp, ...]: ...
 @overload
 def unravel_index(
-    indices: _nt.ToInteger_1nd, shape: _ShapeLike, order: _OrderCF = "C"
+    indices: _nt.ToInteger_1nd, shape: _nt.ShapeLike, order: _OrderCF = "C"
 ) -> tuple[_nt.Array[np.intp], ...]: ...
 
 #
 @overload
 def ravel_multi_index(
     multi_index: SupportsLenAndGetItem[_ToInt],
-    dims: _ShapeLike,
+    dims: _nt.ShapeLike,
     mode: _ModeKind | tuple[_ModeKind, ...] = "raise",
     order: _OrderCF = "C",
 ) -> np.intp: ...
 @overload
 def ravel_multi_index(
     multi_index: SupportsLenAndGetItem[_nt.ToInteger_1nd],
-    dims: _ShapeLike,
+    dims: _nt.ShapeLike,
     mode: _ModeKind | tuple[_ModeKind, ...] = "raise",
     order: _OrderCF = "C",
 ) -> _nt.Array[np.intp]: ...
diff --git a/src/numpy-stubs/_core/defchararray.pyi b/src/numpy-stubs/_core/defchararray.pyi
index 5045655a..7edadedc 100644
--- a/src/numpy-stubs/_core/defchararray.pyi
+++ b/src/numpy-stubs/_core/defchararray.pyi
@@ -5,11 +5,9 @@ from typing_extensions import Buffer, TypeAliasType, TypeVar, override
 import _numtype as _nt
 import numpy as np
 from numpy import _OrderKACF as _Order  # noqa: ICN003
-from numpy._typing import (
-    _ArrayLikeAnyString_co as _ToAnyCharND,
-    _ArrayLikeString_co as _ToStringND,
-    _ShapeLike as _ToShape,
-)
+from numpy._typing import _ArrayLikeAnyString_co as _ToAnyCharND, _ArrayLikeString_co as _ToStringND
+
+_ToShape: TypeAlias = _nt.ShapeLike
 
 from ._multiarray_umath import compare_chararrays
 from .strings import (
diff --git a/src/numpy-stubs/_core/fromnumeric.pyi b/src/numpy-stubs/_core/fromnumeric.pyi
index a0bbe5e5..41141d26 100644
--- a/src/numpy-stubs/_core/fromnumeric.pyi
+++ b/src/numpy-stubs/_core/fromnumeric.pyi
@@ -7,7 +7,7 @@ import _numtype as _nt
 import numpy as np
 from numpy import _CastingKind, _ModeKind, _OrderACF, _OrderKACF, _PartitionKind, _SortKind, _SortSide  # noqa: ICN003
 from numpy._globals import _NoValueType
-from numpy._typing import ArrayLike, DTypeLike, _DTypeLike, _ShapeLike
+from numpy._typing import ArrayLike, DTypeLike, _DTypeLike
 
 __all__ = [
     "all",
@@ -187,9 +187,9 @@ def repeat(a: ArrayLike, repeats: _nt.CoInteger_nd, axis: CanIndex | None = None
 
 #
 @overload
-def transpose(a: _nt._ToArray_nd[_ScalarT], axes: _ShapeLike | None = ...) -> _nt.Array[_ScalarT]: ...
+def transpose(a: _nt._ToArray_nd[_ScalarT], axes: _nt.ShapeLike | None = ...) -> _nt.Array[_ScalarT]: ...
 @overload
-def transpose(a: ArrayLike, axes: _ShapeLike | None = ...) -> _nt.Array[Incomplete]: ...
+def transpose(a: ArrayLike, axes: _nt.ShapeLike | None = ...) -> _nt.Array[Incomplete]: ...
 
 #
 @overload
@@ -390,13 +390,13 @@ def resize(a: ArrayLike, new_shape: Sequence[CanIndex]) -> _nt.Array[Incomplete]
 
 #
 @overload  # workaround for microsoft/pyright#10232
-def squeeze(a: _ScalarT, axis: _ShapeLike | None = None) -> _nt.Array0D[_ScalarT]: ...
+def squeeze(a: _ScalarT, axis: _nt.ShapeLike | None = None) -> _nt.Array0D[_ScalarT]: ...
 @overload  # workaround for microsoft/pyright#10232
-def squeeze(a: _nt._ToArray_nnd[_ScalarT], axis: _ShapeLike | None = None) -> _nt.Array[_ScalarT]: ...
+def squeeze(a: _nt._ToArray_nnd[_ScalarT], axis: _nt.ShapeLike | None = None) -> _nt.Array[_ScalarT]: ...
 @overload
-def squeeze(a: _nt._ToArray_nd[_ScalarT], axis: _ShapeLike | None = None) -> _nt.Array[_ScalarT]: ...
+def squeeze(a: _nt._ToArray_nd[_ScalarT], axis: _nt.ShapeLike | None = None) -> _nt.Array[_ScalarT]: ...
 @overload
-def squeeze(a: ArrayLike, axis: _ShapeLike | None = None) -> _nt.Array[Incomplete]: ...
+def squeeze(a: ArrayLike, axis: _nt.ShapeLike | None = None) -> _nt.Array[Incomplete]: ...
 
 #
 @overload
@@ -601,7 +601,7 @@ def sum(
 @overload
 def sum(
     a: ArrayLike,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     dtype: _DTypeLike[_ScalarT],
     out: None = None,
     keepdims: _Option[bool] = ...,
@@ -611,7 +611,7 @@ def sum(
 @overload
 def sum(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     dtype: _DTypeLike[_ScalarT],
     out: None = None,
@@ -622,7 +622,7 @@ def sum(
 @overload
 def sum(
     a: ArrayLike,
-    axis: _ShapeLike | None = ...,
+    axis: _nt.ShapeLike | None = ...,
     dtype: DTypeLike | None = None,
     out: None = None,
     keepdims: _Option[bool] = ...,
@@ -632,7 +632,7 @@ def sum(
 @overload
 def sum(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -886,10 +886,10 @@ def ptp(
 ) -> _ScalarT: ...
 @overload
 def ptp(
-    a: ArrayLike, axis: _ShapeLike | None = None, out: None = None, keepdims: _Option[bool] = ...
+    a: ArrayLike, axis: _nt.ShapeLike | None = None, out: None = None, keepdims: _Option[bool] = ...
 ) -> Incomplete: ...
 @overload
-def ptp(a: ArrayLike, axis: _ShapeLike | None = None, *, out: _ArrayT, keepdims: _Option[bool] = ...) -> _ArrayT: ...
+def ptp(a: ArrayLike, axis: _nt.ShapeLike | None = None, *, out: _ArrayT, keepdims: _Option[bool] = ...) -> _ArrayT: ...
 
 #
 @overload
@@ -904,7 +904,7 @@ def amax(
 @overload
 def amax(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     keepdims: _Option[bool] = ...,
     initial: _Option[_nt.CoComplex_0d] = ...,
@@ -913,7 +913,7 @@ def amax(
 @overload
 def amax(
     a: ArrayLike,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     out: _ArrayT,
     keepdims: _Option[bool] = ...,
     initial: _Option[_nt.CoComplex_0d] = ...,
@@ -922,7 +922,7 @@ def amax(
 @overload
 def amax(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     out: _ArrayT,
     keepdims: _Option[bool] = ...,
@@ -943,7 +943,7 @@ def amin(
 @overload
 def amin(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     keepdims: _Option[bool] = ...,
     initial: _Option[_nt.CoComplex_0d] = ...,
@@ -952,7 +952,7 @@ def amin(
 @overload
 def amin(
     a: ArrayLike,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     out: _ArrayT,
     keepdims: _Option[bool] = ...,
     initial: _Option[_nt.CoComplex_0d] = ...,
@@ -961,7 +961,7 @@ def amin(
 @overload
 def amin(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     out: _ArrayT,
     keepdims: _Option[bool] = ...,
@@ -1025,7 +1025,7 @@ def prod(
 @overload
 def prod(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = ...,
+    axis: _nt.ShapeLike | None = ...,
     dtype: None = None,
     out: None = None,
     keepdims: _Option[bool] = ...,
@@ -1056,7 +1056,7 @@ def prod(
 @overload
 def prod(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = ...,
+    axis: _nt.ShapeLike | None = ...,
     dtype: DTypeLike | None = ...,
     out: None = None,
     keepdims: _Option[bool] = ...,
@@ -1066,7 +1066,7 @@ def prod(
 @overload
 def prod(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     dtype: DTypeLike | None,
     out: _ArrayT,
     keepdims: _Option[bool] = ...,
@@ -1076,7 +1076,7 @@ def prod(
 @overload
 def prod(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = ...,
+    axis: _nt.ShapeLike | None = ...,
     dtype: DTypeLike | None = ...,
     *,
     out: _ArrayT,
@@ -1290,7 +1290,7 @@ def mean(
 @overload
 def mean(
     a: _nt.ToObject_nd,
-    axis: _ShapeLike | None = ...,
+    axis: _nt.ShapeLike | None = ...,
     dtype: None = None,
     out: None = None,
     keepdims: _Option[bool] = ...,
@@ -1340,7 +1340,7 @@ def mean(
 @overload
 def mean(
     a: _nt.CoComplex_nd | _nt.ToTimeDelta_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     dtype: DTypeLike | None,
     out: _ArrayT,
     keepdims: _Option[bool] = ...,
@@ -1350,7 +1350,7 @@ def mean(
 @overload
 def mean(
     a: _nt.CoComplex_nd | _nt.ToTimeDelta_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -1360,7 +1360,7 @@ def mean(
 @overload
 def mean(
     a: _nt.CoComplex_nd | _nt.ToTimeDelta_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     out: _nt.Array | None = None,
     keepdims: _Option[bool] = ...,
@@ -1385,7 +1385,7 @@ def std(
 @overload
 def std(
     a: _nt.ToObject_nd,
-    axis: _ShapeLike | None = ...,
+    axis: _nt.ShapeLike | None = ...,
     dtype: None = None,
     out: None = None,
     ddof: float = 0,
@@ -1424,7 +1424,7 @@ def std(
 @overload
 def std(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     dtype: DTypeLike | None,
     out: _ArrayT,
     ddof: float = 0,
@@ -1437,7 +1437,7 @@ def std(
 @overload
 def std(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -1450,7 +1450,7 @@ def std(
 @overload
 def std(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     out: _nt.Array | None = None,
     ddof: float = 0,
@@ -1478,7 +1478,7 @@ def var(
 @overload
 def var(
     a: _nt.ToObject_nd,
-    axis: _ShapeLike | None = ...,
+    axis: _nt.ShapeLike | None = ...,
     dtype: None = None,
     out: None = None,
     ddof: float = 0,
@@ -1517,7 +1517,7 @@ def var(
 @overload
 def var(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     dtype: DTypeLike | None,
     out: _ArrayT,
     ddof: float = 0,
@@ -1530,7 +1530,7 @@ def var(
 @overload
 def var(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -1543,7 +1543,7 @@ def var(
 @overload
 def var(
     a: _nt.CoComplex_nd | _nt.ToObject_nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     out: _nt.Array | None = None,
     ddof: float = 0,
diff --git a/src/numpy-stubs/_core/memmap.pyi b/src/numpy-stubs/_core/memmap.pyi
index ba020c73..03832993 100644
--- a/src/numpy-stubs/_core/memmap.pyi
+++ b/src/numpy-stubs/_core/memmap.pyi
@@ -18,7 +18,7 @@ import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
 from numpy import _OrderKACF  # noqa: ICN003
-from numpy._typing import _DTypeLike, _ShapeLike
+from numpy._typing import _DTypeLike
 
 __all__ = ["memmap"]
 
@@ -64,7 +64,7 @@ class memmap(np.ndarray[_ShapeT_co, _DTypeT_co], Generic[_ShapeT_co, _DTypeT_co]
         dtype: _DTypeT_co,
         mode: _ToMode = "r+",
         offset: int = 0,
-        shape: _ShapeLike | None = None,
+        shape: _nt.ShapeLike | None = None,
         order: _OrderKACF = "C",
     ) -> memmap[Incomplete, _DTypeT_co]: ...
     @overload
@@ -74,7 +74,7 @@ class memmap(np.ndarray[_ShapeT_co, _DTypeT_co], Generic[_ShapeT_co, _DTypeT_co]
         dtype: _DTypeLike[_ScalarT],
         mode: _ToMode = "r+",
         offset: int = 0,
-        shape: _ShapeLike | None = None,
+        shape: _nt.ShapeLike | None = None,
         order: _OrderKACF = "C",
     ) -> memmap[Incomplete, np.dtype[_ScalarT]]: ...
     @overload
diff --git a/src/numpy-stubs/_core/numeric.pyi b/src/numpy-stubs/_core/numeric.pyi
index 4e8cc8ab..2e0ce10b 100644
--- a/src/numpy-stubs/_core/numeric.pyi
+++ b/src/numpy-stubs/_core/numeric.pyi
@@ -19,7 +19,7 @@ import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
 from numpy import _AnyShapeT, _OrderCF, _OrderKACF, ufunc  # noqa: ICN003
-from numpy._typing import ArrayLike, DTypeLike, _ArrayLike, _DTypeLike, _ShapeLike, _SupportsArrayFunc, _SupportsDType
+from numpy._typing import ArrayLike, DTypeLike, _ArrayLike, _DTypeLike, _SupportsArrayFunc, _SupportsDType
 from numpy.lib._array_utils_impl import normalize_axis_tuple as normalize_axis_tuple
 
 from ._asarray import require
@@ -605,7 +605,7 @@ _ShapeLike3D: TypeAlias = tuple[SupportsIndex, SupportsIndex, SupportsIndex]
 _PyScalar: TypeAlias = complex | str | bytes
 _Device: TypeAlias = L["cpu"]
 _Mode: TypeAlias = L["valid", "same", "full"]
-_Axes: TypeAlias = int | tuple[_ShapeLike, _ShapeLike]
+_Axes: TypeAlias = int | tuple[_nt.ShapeLike, _nt.ShapeLike]
 
 @type_check_only
 class _CanArray(Protocol[_ArrayT_co]):
@@ -700,7 +700,7 @@ def ones(
 ) -> _nt.Array[Any, _AnyShapeT]: ...
 @overload  # unknown shape, default dtype
 def ones(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _nt.ToDTypeFloat64 | None = None,
     order: _OrderCF = "C",
     *,
@@ -709,7 +709,7 @@ def ones(
 ) -> _nt.Array[np.float64]: ...
 @overload  # unknown shape, known dtype
 def ones(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _DTypeT | _SupportsDType[_DTypeT],
     order: _OrderCF = "C",
     *,
@@ -718,7 +718,7 @@ def ones(
 ) -> np.ndarray[_nt.AnyShape, _DTypeT]: ...
 @overload  # unknown shape, known scalar-type
 def ones(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _DTypeLike[_ScalarT],
     order: _OrderCF = "C",
     *,
@@ -727,7 +727,7 @@ def ones(
 ) -> _nt.Array[_ScalarT]: ...
 @overload  # unknown shape, unknown dtype
 def ones(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: npt.DTypeLike | None = None,
     order: _OrderCF = "C",
     *,
@@ -920,7 +920,7 @@ def full(
 ) -> _nt.Array[Any, _AnyShapeT]: ...
 @overload  # unknown shape, known fill scalar-type
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: _ScalarT,
     dtype: None = None,
     order: _OrderCF = "C",
@@ -930,7 +930,7 @@ def full(
 ) -> _nt.Array[_ScalarT]: ...
 @overload  # unknown shape, bool fill
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: py_bool,
     dtype: None = None,
     order: _OrderCF = "C",
@@ -940,7 +940,7 @@ def full(
 ) -> _nt.Array[np.bool]: ...
 @overload  # unknown shape, int fill
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: _nt.JustInt,
     dtype: None = None,
     order: _OrderCF = "C",
@@ -950,7 +950,7 @@ def full(
 ) -> _nt.Array[np.intp]: ...
 @overload  # unknown shape, float fill
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: _nt.JustFloat,
     dtype: None = None,
     order: _OrderCF = "C",
@@ -960,7 +960,7 @@ def full(
 ) -> _nt.Array[np.float64]: ...
 @overload  # unknown shape, complex fill
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: _nt.JustComplex,
     dtype: None = None,
     order: _OrderCF = "C",
@@ -970,7 +970,7 @@ def full(
 ) -> _nt.Array[np.complex128]: ...
 @overload  # unknown shape, known dtype
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: object,
     dtype: _DTypeT | _SupportsDType[_DTypeT],
     order: _OrderCF = "C",
@@ -980,7 +980,7 @@ def full(
 ) -> np.ndarray[_nt.AnyShape, _DTypeT]: ...
 @overload  # unknown shape, known scalar-type
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: object,
     dtype: _DTypeLike[_ScalarT],
     order: _OrderCF = "C",
@@ -990,7 +990,7 @@ def full(
 ) -> _nt.Array[_ScalarT]: ...
 @overload  # unknown shape, float64
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: object,
     dtype: _nt.ToDTypeFloat64,
     order: _OrderCF = "C",
@@ -1000,7 +1000,7 @@ def full(
 ) -> _nt.Array[np.float64]: ...
 @overload  # unknown shape, unknown dtype
 def full(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     fill_value: object,
     dtype: DTypeLike | None = None,
     order: _OrderCF = "C",
@@ -1246,7 +1246,7 @@ def zeros_like(
     dtype: np.dtype[_ScalarT] | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -1266,7 +1266,7 @@ def zeros_like(
     dtype: _DTypeT | _SupportsDType[_DTypeT],
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> np.ndarray[_nt.AnyShape, _DTypeT]: ...
@@ -1286,7 +1286,7 @@ def zeros_like(
     dtype: _DTypeLike[_ScalarT],
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -1296,7 +1296,7 @@ def zeros_like(
     dtype: _nt.ToDTypeBool | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.bool_]: ...
@@ -1306,7 +1306,7 @@ def zeros_like(
     dtype: _nt.ToDTypeInt64 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.intp]: ...
@@ -1316,7 +1316,7 @@ def zeros_like(
     dtype: _nt.ToDTypeFloat64 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.float64]: ...
@@ -1326,7 +1326,7 @@ def zeros_like(
     dtype: _nt.ToDTypeComplex128 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.complex128]: ...
@@ -1346,7 +1346,7 @@ def zeros_like(
     dtype: npt.DTypeLike | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array: ...
@@ -1588,7 +1588,7 @@ def ones_like(
     dtype: np.dtype[_ScalarT] | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -1608,7 +1608,7 @@ def ones_like(
     dtype: _DTypeT | _SupportsDType[_DTypeT],
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> np.ndarray[_nt.AnyShape, _DTypeT]: ...
@@ -1628,7 +1628,7 @@ def ones_like(
     dtype: _DTypeLike[_ScalarT],
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -1638,7 +1638,7 @@ def ones_like(
     dtype: _nt.ToDTypeBool | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.bool_]: ...
@@ -1648,7 +1648,7 @@ def ones_like(
     dtype: _nt.ToDTypeInt64 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.intp]: ...
@@ -1658,7 +1658,7 @@ def ones_like(
     dtype: _nt.ToDTypeFloat64 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.float64]: ...
@@ -1668,7 +1668,7 @@ def ones_like(
     dtype: _nt.ToDTypeComplex128 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.complex128]: ...
@@ -1688,7 +1688,7 @@ def ones_like(
     dtype: npt.DTypeLike | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array: ...
@@ -1910,7 +1910,7 @@ def full_like(
     dtype: np.dtype[_ScalarT] | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -1932,7 +1932,7 @@ def full_like(
     dtype: _DTypeT | _SupportsDType[_DTypeT],
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> np.ndarray[_nt.AnyShape, _DTypeT]: ...
@@ -1954,7 +1954,7 @@ def full_like(
     dtype: _DTypeLike[_ScalarT],
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -1965,7 +1965,7 @@ def full_like(
     dtype: _nt.ToDTypeBool | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.bool_]: ...
@@ -1976,7 +1976,7 @@ def full_like(
     dtype: _nt.ToDTypeInt64 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.intp]: ...
@@ -1987,7 +1987,7 @@ def full_like(
     dtype: _nt.ToDTypeFloat64 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.float64]: ...
@@ -1998,7 +1998,7 @@ def full_like(
     dtype: _nt.ToDTypeComplex128 | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array[np.complex128]: ...
@@ -2020,7 +2020,7 @@ def full_like(
     dtype: npt.DTypeLike | None = None,
     order: _OrderKACF = "K",
     subok: py_bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.Array: ...
@@ -2029,11 +2029,11 @@ def full_like(
 @overload
 def count_nonzero(a: ArrayLike, axis: None = None, *, keepdims: L[False] = False) -> np.intp: ...
 @overload
-def count_nonzero(a: _nt.ToGeneric_0d, axis: _ShapeLike | None = None, *, keepdims: L[True]) -> np.intp: ...
+def count_nonzero(a: _nt.ToGeneric_0d, axis: _nt.ShapeLike | None = None, *, keepdims: L[True]) -> np.intp: ...
 @overload
-def count_nonzero(a: _nt.ToGeneric_1nd, axis: _ShapeLike | None = None, *, keepdims: L[True]) -> _nt.Array[np.intp]: ...
+def count_nonzero(a: _nt.ToGeneric_1nd, axis: _nt.ShapeLike | None = None, *, keepdims: L[True]) -> _nt.Array[np.intp]: ...
 @overload
-def count_nonzero(a: ArrayLike, axis: _ShapeLike | None = None, *, keepdims: py_bool = False) -> Incomplete: ...
+def count_nonzero(a: ArrayLike, axis: _nt.ShapeLike | None = None, *, keepdims: py_bool = False) -> Incomplete: ...
 
 #
 def flatnonzero(a: ArrayLike) -> _nt.Array1D[np.intp]: ...
@@ -2174,13 +2174,13 @@ def tensordot(
 
 #
 @overload
-def roll(a: _ArrayLike[_ScalarT], shift: _ShapeLike, axis: _ShapeLike | None = None) -> _nt.Array[_ScalarT]: ...
+def roll(a: _ArrayLike[_ScalarT], shift: _nt.ShapeLike, axis: _nt.ShapeLike | None = None) -> _nt.Array[_ScalarT]: ...
 @overload
-def roll(a: ArrayLike, shift: _ShapeLike, axis: _ShapeLike | None = None) -> _nt.Array: ...
+def roll(a: ArrayLike, shift: _nt.ShapeLike, axis: _nt.ShapeLike | None = None) -> _nt.Array: ...
 
 #
 def rollaxis(a: _nt.Array[_ScalarT], axis: int, start: int = 0) -> _nt.Array[_ScalarT]: ...
-def moveaxis(a: _nt.Array[_ScalarT], source: _ShapeLike, destination: _ShapeLike) -> _nt.Array[_ScalarT]: ...
+def moveaxis(a: _nt.Array[_ScalarT], source: _nt.ShapeLike, destination: _nt.ShapeLike) -> _nt.Array[_ScalarT]: ...
 
 #
 @overload
diff --git a/src/numpy-stubs/_core/records.pyi b/src/numpy-stubs/_core/records.pyi
index e05e632f..d2e67048 100644
--- a/src/numpy-stubs/_core/records.pyi
+++ b/src/numpy-stubs/_core/records.pyi
@@ -6,7 +6,7 @@ from typing_extensions import Buffer, TypeVar, override
 import _numtype as _nt
 import numpy as np
 from numpy import _ByteOrder, _OrderKACF  # noqa: ICN003
-from numpy._typing import ArrayLike, DTypeLike, _ArrayLikeVoid_co, _ShapeLike
+from numpy._typing import ArrayLike, DTypeLike, _ArrayLikeVoid_co
 
 __all__ = [
     "array",
@@ -73,11 +73,11 @@ class recarray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def __new__(
         subtype,
-        shape: _ShapeLike,
+        shape: _nt.ShapeLike,
         dtype: None = None,
         buf: Buffer | None = None,
         offset: SupportsIndex = 0,
-        strides: _ShapeLike | None = None,
+        strides: _nt.ShapeLike | None = None,
         *,
         formats: DTypeLike | None,
         names: str | Sequence[str] | None = None,
@@ -89,11 +89,11 @@ class recarray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def __new__(
         subtype,
-        shape: _ShapeLike,
+        shape: _nt.ShapeLike,
         dtype: DTypeLike | None,
         buf: Buffer | None = None,
         offset: SupportsIndex = ...,
-        strides: _ShapeLike | None = None,
+        strides: _nt.ShapeLike | None = None,
         formats: None = None,
         names: None = None,
         titles: None = None,
@@ -122,7 +122,7 @@ def find_duplicate(list: Iterable[_T]) -> list[_T]: ...
 def fromarrays(
     arrayList: Iterable[ArrayLike],
     dtype: DTypeLike | None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     formats: None = None,
     names: None = None,
     titles: None = None,
@@ -133,7 +133,7 @@ def fromarrays(
 def fromarrays(
     arrayList: Iterable[ArrayLike],
     dtype: None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     formats: DTypeLike | None,
     names: str | Sequence[str] | None = None,
@@ -147,7 +147,7 @@ def fromarrays(
 def fromrecords(
     recList: _ArrayLikeVoid_co | _nt.SequenceND[tuple[Incomplete, ...]],
     dtype: DTypeLike | None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     formats: None = None,
     names: None = None,
     titles: None = None,
@@ -158,7 +158,7 @@ def fromrecords(
 def fromrecords(
     recList: _ArrayLikeVoid_co | _nt.SequenceND[tuple[Incomplete, ...]],
     dtype: None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     formats: DTypeLike | None,
     names: str | Sequence[str] | None = None,
@@ -172,7 +172,7 @@ def fromrecords(
 def fromstring(
     datastring: Buffer,
     dtype: DTypeLike | None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     formats: None = None,
     names: None = None,
@@ -184,7 +184,7 @@ def fromstring(
 def fromstring(
     datastring: Buffer,
     dtype: None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     *,
     formats: DTypeLike | None,
@@ -202,7 +202,7 @@ def get_remaining_size(fd: IO[Any]) -> int: ...  # undocumented
 def fromfile(
     fd: StrOrBytesPath | _SupportsReadInto,
     dtype: DTypeLike | None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     formats: None = None,
     names: None = None,
@@ -214,7 +214,7 @@ def fromfile(
 def fromfile(
     fd: StrOrBytesPath | _SupportsReadInto,
     dtype: None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     *,
     formats: DTypeLike | None,
@@ -229,7 +229,7 @@ def fromfile(
 def array(  # type: ignore[overload-overlap]
     obj: _ScalarT | _nt.Array[_ScalarT],
     dtype: None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     strides: tuple[int, ...] | None = None,
     formats: None = None,
@@ -243,7 +243,7 @@ def array(  # type: ignore[overload-overlap]
 def array(
     obj: ArrayLike,
     dtype: DTypeLike | None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     strides: tuple[int, ...] | None = None,
     formats: None = None,
@@ -257,7 +257,7 @@ def array(
 def array(
     obj: ArrayLike,
     dtype: None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     strides: tuple[int, ...] | None = None,
     *,
@@ -272,7 +272,7 @@ def array(
 def array(
     obj: None,
     dtype: DTypeLike | None,
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     offset: int = 0,
     strides: tuple[int, ...] | None = None,
     formats: None = None,
@@ -287,7 +287,7 @@ def array(
     obj: None,
     dtype: None = None,
     *,
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     offset: int = 0,
     strides: tuple[int, ...] | None = None,
     formats: DTypeLike | None,
@@ -301,7 +301,7 @@ def array(
 def array(
     obj: _SupportsReadInto,
     dtype: DTypeLike | None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     strides: tuple[int, ...] | None = None,
     formats: None = None,
@@ -315,7 +315,7 @@ def array(
 def array(
     obj: _SupportsReadInto,
     dtype: None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     offset: int = 0,
     strides: tuple[int, ...] | None = None,
     *,
diff --git a/src/numpy-stubs/_core/umath.pyi b/src/numpy-stubs/_core/umath.pyi
index c77b7221..ee304c4c 100644
--- a/src/numpy-stubs/_core/umath.pyi
+++ b/src/numpy-stubs/_core/umath.pyi
@@ -18,12 +18,7 @@ from typing_extensions import TypeAliasType, TypeVar, Unpack
 import _numtype as _nt
 import numpy as np
 from numpy import _CastingKind, _OrderKACF  # noqa: ICN003
-from numpy._typing import (
-    _DTypeLike as _ToDType,
-    _DTypeLikeComplex as _ToDTypeComplex,
-    _DTypeLikeFloat as _ToDTypeFloat,
-    _ShapeLike,
-)
+from numpy._typing import _DTypeLike as _ToDType, _DTypeLikeComplex as _ToDTypeComplex, _DTypeLikeFloat as _ToDTypeFloat
 
 from . import _multiarray_umath as _multiarray_umath
 from ._multiarray_umath import (
@@ -1613,7 +1608,7 @@ class _Reduce2(Protocol):
         self,
         a: _nt.ToGeneric_nd,
         /,
-        axis: _ShapeLike | None = 0,
+        axis: _nt.ShapeLike | None = 0,
         dtype: _nt.ToDType | None = None,
         out: _nt.Array | EllipsisType | None = None,
         keepdims: bool = False,
diff --git a/src/numpy-stubs/_typing/__init__.pyi b/src/numpy-stubs/_typing/__init__.pyi
index 92b12314..04d67c81 100644
--- a/src/numpy-stubs/_typing/__init__.pyi
+++ b/src/numpy-stubs/_typing/__init__.pyi
@@ -1,3 +1,4 @@
+from . import _shape as _shape
 from ._array_like import (
     ArrayLike as ArrayLike,
     NDArray as NDArray,
@@ -107,4 +108,3 @@ from ._scalars import (
     _UIntLike_co as _UIntLike_co,
     _VoidLike_co as _VoidLike_co,
 )
-from ._shape import _ShapeLike as _ShapeLike
diff --git a/src/numpy-stubs/_typing/_shape.pyi b/src/numpy-stubs/_typing/_shape.pyi
index b411fc7b..f0c549c5 100644
--- a/src/numpy-stubs/_typing/_shape.pyi
+++ b/src/numpy-stubs/_typing/_shape.pyi
@@ -1,7 +1,4 @@
-from collections.abc import Sequence
-from typing import SupportsIndex, TypeAlias
 
 # TODO(jorenham): https://github.com/numpy/numtype/issues/565
 
 # Anything that can be coerced to a shape tuple
-_ShapeLike: TypeAlias = SupportsIndex | Sequence[SupportsIndex]  # noqa: PYI047
diff --git a/src/numpy-stubs/ctypeslib.pyi b/src/numpy-stubs/ctypeslib.pyi
index e43fe960..dbf80257 100644
--- a/src/numpy-stubs/ctypeslib.pyi
+++ b/src/numpy-stubs/ctypeslib.pyi
@@ -9,7 +9,7 @@ import _numtype as _nt
 import numpy as np
 from numpy._core._internal import _ctypes
 from numpy._core.multiarray import flagsobj
-from numpy._typing import _ArrayLike, _DTypeLike, _ShapeLike, _VoidDTypeLike
+from numpy._typing import _ArrayLike, _DTypeLike, _VoidDTypeLike
 from numpy._typing._char_codes import _LongCodes, _ULongCodes
 
 __all__ = ["as_array", "as_ctypes", "as_ctypes_type", "c_intp", "load_library", "ndpointer"]
@@ -75,7 +75,7 @@ def load_library(libname: StrOrBytesPath, loader_path: StrOrBytesPath) -> ct.CDL
 def ndpointer(
     dtype: None = None,
     ndim: int | None = None,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     flags: _FlagsKind | Iterable[_FlagsKind] | int | flagsobj | None = None,
 ) -> type[_ndptr[None]]: ...
 @overload
@@ -83,7 +83,7 @@ def ndpointer(
     dtype: _DTypeLike[_ScalarT],
     ndim: int | None = None,
     *,
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     flags: _FlagsKind | Iterable[_FlagsKind] | int | flagsobj | None = None,
 ) -> type[_concrete_ndptr[np.dtype[_ScalarT]]]: ...
 @overload
@@ -91,7 +91,7 @@ def ndpointer(
     dtype: type | str,
     ndim: int | None = None,
     *,
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     flags: _FlagsKind | Iterable[_FlagsKind] | int | flagsobj | None = None,
 ) -> type[_concrete_ndptr[np.dtype]]: ...
 @overload
@@ -113,9 +113,9 @@ def ndpointer(
 @overload
 def as_array(obj: ct._PointerLike, shape: Sequence[int]) -> _nt.Array[Any]: ...
 @overload
-def as_array(obj: _ArrayLike[_ScalarT], shape: _ShapeLike | None = ...) -> _nt.Array[_ScalarT]: ...
+def as_array(obj: _ArrayLike[_ScalarT], shape: _nt.ShapeLike | None = ...) -> _nt.Array[_ScalarT]: ...
 @overload
-def as_array(obj: object, shape: _ShapeLike | None = ...) -> _nt.Array[Any]: ...
+def as_array(obj: object, shape: _nt.ShapeLike | None = ...) -> _nt.Array[Any]: ...
 
 #
 def as_ctypes(obj: _HasCType[_CT]) -> _CT: ...
diff --git a/src/numpy-stubs/fft/_helper.pyi b/src/numpy-stubs/fft/_helper.pyi
index aaca3447..db487160 100644
--- a/src/numpy-stubs/fft/_helper.pyi
+++ b/src/numpy-stubs/fft/_helper.pyi
@@ -3,7 +3,6 @@ from typing_extensions import TypeVar
 
 import _numtype as _nt
 import numpy as np
-from numpy._typing import _ShapeLike
 
 __all__ = ["fftfreq", "fftshift", "ifftshift", "rfftfreq"]
 
@@ -23,65 +22,65 @@ integer_types: Final[tuple[type[int], type[np.integer]]] = ...
 
 # keep in sync with `ifftshift`
 @overload
-def fftshift(x: _nt.ToBool_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.bool]: ...
+def fftshift(x: _nt.ToBool_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.bool]: ...
 @overload
-def fftshift(x: _nt.ToBool_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.bool]: ...
+def fftshift(x: _nt.ToBool_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.bool]: ...
 @overload
-def fftshift(x: _nt.CanLenArray[_ScalarT, _ShapeT], axes: _ShapeLike | None = None) -> _nt.Array[_ScalarT, _ShapeT]: ...
+def fftshift(x: _nt.CanLenArray[_ScalarT, _ShapeT], axes: _nt.ShapeLike | None = None) -> _nt.Array[_ScalarT, _ShapeT]: ...
 @overload
-def fftshift(x: _nt.ToInt_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.intp]: ...
+def fftshift(x: _nt.ToInt_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.intp]: ...
 @overload
-def fftshift(x: _nt.ToInt_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.intp]: ...
+def fftshift(x: _nt.ToInt_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.intp]: ...
 @overload
-def fftshift(x: _nt.ToFloat64_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.float64]: ...
+def fftshift(x: _nt.ToFloat64_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.float64]: ...
 @overload
-def fftshift(x: _nt.ToFloat64_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.float64]: ...
+def fftshift(x: _nt.ToFloat64_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.float64]: ...
 @overload
-def fftshift(x: _nt.ToComplex128_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.complex128]: ...
+def fftshift(x: _nt.ToComplex128_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.complex128]: ...
 @overload
-def fftshift(x: _nt.ToComplex128_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.complex128]: ...
+def fftshift(x: _nt.ToComplex128_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.complex128]: ...
 @overload
-def fftshift(x: _nt.ToBytes_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.bytes_]: ...
+def fftshift(x: _nt.ToBytes_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.bytes_]: ...
 @overload
-def fftshift(x: _nt.ToBytes_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.bytes_]: ...
+def fftshift(x: _nt.ToBytes_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.bytes_]: ...
 @overload
-def fftshift(x: _nt.ToStr_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.str_]: ...
+def fftshift(x: _nt.ToStr_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.str_]: ...
 @overload
-def fftshift(x: _nt.ToStr_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.str_]: ...
+def fftshift(x: _nt.ToStr_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.str_]: ...
 @overload
-def fftshift(x: _nt.ToGeneric_1nd, axes: _ShapeLike | None = None) -> _nt.Array[Any]: ...
+def fftshift(x: _nt.ToGeneric_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[Any]: ...
 
 # keep in sync with `fftshift`
 @overload
-def ifftshift(x: _nt.ToBool_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.bool]: ...
+def ifftshift(x: _nt.ToBool_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.bool]: ...
 @overload
-def ifftshift(x: _nt.ToBool_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.bool]: ...
+def ifftshift(x: _nt.ToBool_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.bool]: ...
 @overload
 def ifftshift(
-    x: _nt.CanLenArray[_ScalarT, _ShapeT], axes: _ShapeLike | None = None
+    x: _nt.CanLenArray[_ScalarT, _ShapeT], axes: _nt.ShapeLike | None = None
 ) -> _nt.Array[_ScalarT, _ShapeT]: ...
 @overload
-def ifftshift(x: _nt.ToInt_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.intp]: ...
+def ifftshift(x: _nt.ToInt_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.intp]: ...
 @overload
-def ifftshift(x: _nt.ToInt_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.intp]: ...
+def ifftshift(x: _nt.ToInt_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.intp]: ...
 @overload
-def ifftshift(x: _nt.ToFloat64_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.float64]: ...
+def ifftshift(x: _nt.ToFloat64_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.float64]: ...
 @overload
-def ifftshift(x: _nt.ToFloat64_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.float64]: ...
+def ifftshift(x: _nt.ToFloat64_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.float64]: ...
 @overload
-def ifftshift(x: _nt.ToComplex128_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.complex128]: ...
+def ifftshift(x: _nt.ToComplex128_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.complex128]: ...
 @overload
-def ifftshift(x: _nt.ToComplex128_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.complex128]: ...
+def ifftshift(x: _nt.ToComplex128_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.complex128]: ...
 @overload
-def ifftshift(x: _nt.ToBytes_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.bytes_]: ...
+def ifftshift(x: _nt.ToBytes_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.bytes_]: ...
 @overload
-def ifftshift(x: _nt.ToBytes_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.bytes_]: ...
+def ifftshift(x: _nt.ToBytes_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.bytes_]: ...
 @overload
-def ifftshift(x: _nt.ToStr_1d, axes: _ShapeLike | None = None) -> _nt.Array1D[np.str_]: ...
+def ifftshift(x: _nt.ToStr_1d, axes: _nt.ShapeLike | None = None) -> _nt.Array1D[np.str_]: ...
 @overload
-def ifftshift(x: _nt.ToStr_1nd, axes: _ShapeLike | None = None) -> _nt.Array[np.str_]: ...
+def ifftshift(x: _nt.ToStr_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[np.str_]: ...
 @overload
-def ifftshift(x: _nt.ToGeneric_1nd, axes: _ShapeLike | None = None) -> _nt.Array[Any]: ...
+def ifftshift(x: _nt.ToGeneric_1nd, axes: _nt.ShapeLike | None = None) -> _nt.Array[Any]: ...
 
 # keep in sync with `rfftfreq`
 @overload  # 0d float | integer -> 1d float64
diff --git a/src/numpy-stubs/lib/_function_base_impl.pyi b/src/numpy-stubs/lib/_function_base_impl.pyi
index 3eb606b5..55326c42 100644
--- a/src/numpy-stubs/lib/_function_base_impl.pyi
+++ b/src/numpy-stubs/lib/_function_base_impl.pyi
@@ -21,7 +21,7 @@ import numpy as np
 from numpy import _OrderKACF as _Order  # noqa: ICN003
 from numpy._core.multiarray import bincount
 from numpy._globals import _NoValueType
-from numpy._typing import ArrayLike, DTypeLike, _ArrayLike, _DTypeLike, _ShapeLike
+from numpy._typing import ArrayLike, DTypeLike, _ArrayLike, _DTypeLike
 
 __all__ = [
     "angle",
@@ -518,65 +518,65 @@ def copy(a: ArrayLike, order: _Order = "K", subok: L[False] = False) -> _nt.Arra
 def gradient(
     f: _ArrayNoD[_InexactTimeT],
     *varargs: _nt.CoComplex_nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     edge_order: L[1, 2] = 1,
     # `| Any` instead of ` | tuple` is returned to avoid several mypy_primer errors
 ) -> _nt.Array1D[_InexactTimeT] | Any: ...
 @overload  # 1d, known inexact scalar-type
 def gradient(
-    f: _nt.Array1D[_InexactTimeT], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.Array1D[_InexactTimeT], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _nt.Array1D[_InexactTimeT]: ...
 @overload  # 2d, known inexact scalar-type
 def gradient(
-    f: _nt.Array2D[_InexactTimeT], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.Array2D[_InexactTimeT], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _Mesh2[_InexactTimeT, _InexactTimeT]: ...
 @overload  # 3d, known inexact scalar-type
 def gradient(
-    f: _nt.Array3D[_InexactTimeT], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.Array3D[_InexactTimeT], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _Mesh3[_InexactTimeT, _InexactTimeT, _InexactTimeT]: ...
 @overload  # ?d, datetime64 scalar-type
 def gradient(
-    f: _ArrayNoD[np.datetime64], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _ArrayNoD[np.datetime64], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _nt.Array1D[np.timedelta64] | tuple[_nt.Array[np.timedelta64], ...]: ...
 @overload  # 1d, datetime64 scalar-type
 def gradient(
-    f: _nt.Array1D[np.datetime64], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.Array1D[np.datetime64], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _nt.Array1D[np.timedelta64]: ...
 @overload  # 2d, datetime64 scalar-type
 def gradient(
-    f: _nt.Array2D[np.datetime64], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.Array2D[np.datetime64], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _Mesh2[np.timedelta64, np.timedelta64]: ...
 @overload  # 3d, datetime64 scalar-type
 def gradient(
-    f: _nt.Array3D[np.datetime64], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.Array3D[np.datetime64], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _Mesh3[np.timedelta64, np.timedelta64, np.timedelta64]: ...
 @overload  # 1d float-like
 def gradient(
-    f: Sequence[float], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: Sequence[float], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _nt.Array1D[np.float64]: ...
 @overload  # 2d float-like
 def gradient(
-    f: _nt.Sequence2D[float], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.Sequence2D[float], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _Mesh2[np.float64, np.float64]: ...
 @overload  # 3d float-like
 def gradient(
-    f: _nt.Sequence3D[float], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.Sequence3D[float], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _Mesh3[np.float64, np.float64, np.float64]: ...
 @overload  # 1d complex-like  (the `list` avoids overlap with the float-like overload)
 def gradient(
-    f: list[complex], *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: list[complex], *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _nt.Array1D[np.complex128]: ...
 @overload  # 2d float-like
 def gradient(
-    f: _nt.ToComplex128_2ds, *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.ToComplex128_2ds, *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _Mesh2[np.complex128, np.complex128]: ...
 @overload  # 3d float-like
 def gradient(
-    f: _nt.ToComplex128_3ds, *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: _nt.ToComplex128_3ds, *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> _Mesh3[np.complex128, np.complex128, np.complex128]: ...
 @overload  # fallback
 def gradient(
-    f: ArrayLike, *varargs: _nt.CoComplex_nd, axis: _ShapeLike | None = None, edge_order: L[1, 2] = 1
+    f: ArrayLike, *varargs: _nt.CoComplex_nd, axis: _nt.ShapeLike | None = None, edge_order: L[1, 2] = 1
 ) -> Incomplete: ...
 
 #
@@ -876,7 +876,7 @@ def sort_complex(a: _ArrayLike[np.longdouble]) -> _nt.Array[np.clongdouble]: ...
 
 #
 def trim_zeros(
-    filt: _TrimZerosSequence[_T], trim: L["f", "b", "fb", "bf"] = "fb", axis: _ShapeLike | None = None
+    filt: _TrimZerosSequence[_T], trim: L["f", "b", "fb", "bf"] = "fb", axis: _nt.ShapeLike | None = None
 ) -> _T: ...
 
 # NOTE: condition is usually boolean, but anything with zero/non-zero semantics works
@@ -1285,7 +1285,7 @@ def median(
 @overload  # known array-type, keepdims=True
 def median(
     a: _ArrayNumericT,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     *,
@@ -1294,7 +1294,7 @@ def median(
 @overload  # known scalar-type, keepdims=True
 def median(
     a: _ArrayLike[_ScalarNumericT],
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     *,
@@ -1303,7 +1303,7 @@ def median(
 @overload  # known scalar-type, axis=<given>
 def median(
     a: _ArrayLike[_ScalarNumericT],
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     keepdims: bool = False,
@@ -1311,7 +1311,7 @@ def median(
 @overload  # float array-like, keepdims=True
 def median(
     a: _nt.SequenceND[float],
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     *,
@@ -1319,12 +1319,12 @@ def median(
 ) -> _nt.Array[np.float64]: ...
 @overload  # float array-like, axis=<given>
 def median(
-    a: _nt.SequenceND[float], axis: _ShapeLike, out: None = None, overwrite_input: bool = False, keepdims: bool = False
+    a: _nt.SequenceND[float], axis: _nt.ShapeLike, out: None = None, overwrite_input: bool = False, keepdims: bool = False
 ) -> _nt.Array[np.float64]: ...
 @overload  # complex array-like, keepdims=True
 def median(
     a: _nt.SequenceND[list[complex]],
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     *,
@@ -1333,7 +1333,7 @@ def median(
 @overload  # complex array-like, axis=<given>
 def median(
     a: _nt.SequenceND[list[complex]],
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     keepdims: bool = False,
@@ -1341,7 +1341,7 @@ def median(
 @overload  # out=<given> (keyword)
 def median(
     a: _nt.CoComplex_nd | _ArrayLike[np.timedelta64 | np.object_],
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     out: _ArrayT,
     overwrite_input: bool = False,
@@ -1350,7 +1350,7 @@ def median(
 @overload  # out=<given> (positional)
 def median(
     a: _nt.CoComplex_nd | _ArrayLike[np.timedelta64 | np.object_],
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     out: _ArrayT,
     overwrite_input: bool = False,
     keepdims: bool = False,
@@ -1358,7 +1358,7 @@ def median(
 @overload  # fallback
 def median(
     a: _nt.CoComplex_nd | _ArrayLike[np.timedelta64 | np.object_],
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     keepdims: bool = False,
@@ -1381,7 +1381,7 @@ def percentile(
 def percentile(
     a: _ArrayLike[_InexactDateTimeT],
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1393,7 +1393,7 @@ def percentile(
 def percentile(
     a: _ArrayLike[_InexactDateTimeT],
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1417,7 +1417,7 @@ def percentile(
 def percentile(
     a: _ArrayLike[_InexactDateTimeT],
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1441,7 +1441,7 @@ def percentile(
 def percentile(
     a: _nt.CastsArray[np.float64],
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1453,7 +1453,7 @@ def percentile(
 def percentile(
     a: _nt.CastsArray[np.float64],
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1477,7 +1477,7 @@ def percentile(
 def percentile(
     a: _nt.CastsArray[np.float64],
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1501,7 +1501,7 @@ def percentile(
 def percentile(
     a: _nt.ToComplex128_1nd,
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1513,7 +1513,7 @@ def percentile(
 def percentile(
     a: _nt.ToComplex128_1nd,
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1537,7 +1537,7 @@ def percentile(
 def percentile(
     a: _nt.ToComplex128_1nd,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1561,7 +1561,7 @@ def percentile(
 def percentile(
     a: _nt.ToObject_1nd,
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1573,7 +1573,7 @@ def percentile(
 def percentile(
     a: _nt.ToObject_1nd,
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1597,7 +1597,7 @@ def percentile(
 def percentile(
     a: _nt.ToObject_1nd,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1609,7 +1609,7 @@ def percentile(
 def percentile(
     a: ArrayLike,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     out: _ArrayT,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1621,7 +1621,7 @@ def percentile(
 def percentile(
     a: ArrayLike,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     out: _ArrayT,
     overwrite_input: bool = False,
@@ -1633,7 +1633,7 @@ def percentile(
 def percentile(
     a: _nt.CoComplex_1nd | _nt.ToObject_1nd,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1659,7 +1659,7 @@ def quantile(
 def quantile(
     a: _ArrayLike[_InexactDateTimeT],
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1671,7 +1671,7 @@ def quantile(
 def quantile(
     a: _ArrayLike[_InexactDateTimeT],
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1695,7 +1695,7 @@ def quantile(
 def quantile(
     a: _ArrayLike[_InexactDateTimeT],
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1719,7 +1719,7 @@ def quantile(
 def quantile(
     a: _nt.CastsArray[np.float64],
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1731,7 +1731,7 @@ def quantile(
 def quantile(
     a: _nt.CastsArray[np.float64],
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1755,7 +1755,7 @@ def quantile(
 def quantile(
     a: _nt.CastsArray[np.float64],
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1779,7 +1779,7 @@ def quantile(
 def quantile(
     a: _nt.ToComplex128_1nd,
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1791,7 +1791,7 @@ def quantile(
 def quantile(
     a: _nt.ToComplex128_1nd,
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1815,7 +1815,7 @@ def quantile(
 def quantile(
     a: _nt.ToComplex128_1nd,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1839,7 +1839,7 @@ def quantile(
 def quantile(
     a: _nt.ToObject_1nd,
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike,
+    axis: _nt.ShapeLike,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1851,7 +1851,7 @@ def quantile(
 def quantile(
     a: _nt.ToObject_1nd,
     q: _nt.CoFloating_0d,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1875,7 +1875,7 @@ def quantile(
 def quantile(
     a: _nt.ToObject_1nd,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1887,7 +1887,7 @@ def quantile(
 def quantile(
     a: ArrayLike,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     out: _ArrayT,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
@@ -1899,7 +1899,7 @@ def quantile(
 def quantile(
     a: ArrayLike,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     out: _ArrayT,
     overwrite_input: bool = False,
@@ -1911,7 +1911,7 @@ def quantile(
 def quantile(
     a: _nt.CoComplex_1nd | _nt.ToObject_1nd,
     q: _nt.CoFloating_1nd,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     overwrite_input: bool = False,
     method: _PercentileMethod = "linear",
diff --git a/src/numpy-stubs/lib/_shape_base_impl.pyi b/src/numpy-stubs/lib/_shape_base_impl.pyi
index 88f1f1c7..b6b8b6a8 100644
--- a/src/numpy-stubs/lib/_shape_base_impl.pyi
+++ b/src/numpy-stubs/lib/_shape_base_impl.pyi
@@ -6,7 +6,7 @@ from typing_extensions import ParamSpec, TypeVar, deprecated
 import _numtype as _nt
 import numpy as np
 from numpy import _CastingKind  # noqa: ICN003
-from numpy._typing import ArrayLike, DTypeLike, _ArrayLike as _ToArray, _ShapeLike as _ToShape
+from numpy._typing import ArrayLike, DTypeLike, _ArrayLike as _ToArray
 
 __all__ = [
     "apply_along_axis",
@@ -28,6 +28,7 @@ __all__ = [
 
 _Tss = ParamSpec("_Tss")
 _ScalarT = TypeVar("_ScalarT", bound=np.generic)
+_ToShape: TypeAlias = _nt.ShapeLike
 
 _ArrayList: TypeAlias = list[_nt.Array[_ScalarT]]
 
diff --git a/src/numpy-stubs/lib/_stride_tricks_impl.pyi b/src/numpy-stubs/lib/_stride_tricks_impl.pyi
index e67f51dd..d9b47442 100644
--- a/src/numpy-stubs/lib/_stride_tricks_impl.pyi
+++ b/src/numpy-stubs/lib/_stride_tricks_impl.pyi
@@ -5,7 +5,7 @@ from typing_extensions import TypeVar
 
 import _numtype as _nt
 import numpy as np
-from numpy._typing import ArrayLike, _ArrayLike, _ShapeLike
+from numpy._typing import ArrayLike, _ArrayLike
 
 __all__ = ["broadcast_arrays", "broadcast_shapes", "broadcast_to"]
 
@@ -39,7 +39,7 @@ def as_strided(
 @overload
 def sliding_window_view(
     x: _ArrayLike[_ScalarT],
-    window_shape: _ShapeLike,
+    window_shape: _nt.ShapeLike,
     axis: SupportsIndex | None = None,
     *,
     subok: bool = False,
@@ -48,7 +48,7 @@ def sliding_window_view(
 @overload
 def sliding_window_view(
     x: ArrayLike,
-    window_shape: _ShapeLike,
+    window_shape: _nt.ShapeLike,
     axis: SupportsIndex | None = None,
     *,
     subok: bool = False,
@@ -57,10 +57,10 @@ def sliding_window_view(
 
 #
 @overload
-def broadcast_to(array: _ArrayLike[_ScalarT], shape: _ShapeLike, subok: bool = False) -> _nt.Array[_ScalarT]: ...
+def broadcast_to(array: _ArrayLike[_ScalarT], shape: _nt.ShapeLike, subok: bool = False) -> _nt.Array[_ScalarT]: ...
 @overload
-def broadcast_to(array: ArrayLike, shape: _ShapeLike, subok: bool = False) -> _nt.Array[Incomplete]: ...
+def broadcast_to(array: ArrayLike, shape: _nt.ShapeLike, subok: bool = False) -> _nt.Array[Incomplete]: ...
 
 #
-def broadcast_shapes(*args: _ShapeLike) -> _nt.Shape: ...
+def broadcast_shapes(*args: _nt.ShapeLike) -> _nt.Shape: ...
 def broadcast_arrays(*args: ArrayLike, subok: bool = False) -> tuple[_nt.Array[Incomplete], ...]: ...
diff --git a/src/numpy-stubs/ma/core.pyi b/src/numpy-stubs/ma/core.pyi
index 7d58acfa..6e3fb21c 100644
--- a/src/numpy-stubs/ma/core.pyi
+++ b/src/numpy-stubs/ma/core.pyi
@@ -46,7 +46,6 @@ from numpy._typing import (
     _ArrayLike,
     _DTypeLike,
     _ScalarLike_co,
-    _ShapeLike,
     _SupportsArrayFunc as _CanArrayFunc,
     _SupportsDType as _HasDType,
     _VoidDTypeLike,
@@ -690,16 +689,16 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     # keep roughly in sync with `ma.core.compress`, but swap the first two arguments
     @override  # type: ignore[override]
     @overload
-    def compress(self, condition: _nt.ToBool_nd, axis: _ShapeLike | None, out: _ArrayT) -> _ArrayT: ...
+    def compress(self, condition: _nt.ToBool_nd, axis: _nt.ShapeLike | None, out: _ArrayT) -> _ArrayT: ...
     @overload
-    def compress(self, condition: _nt.ToBool_nd, axis: _ShapeLike | None = None, *, out: _ArrayT) -> _ArrayT: ...
+    def compress(self, condition: _nt.ToBool_nd, axis: _nt.ShapeLike | None = None, *, out: _ArrayT) -> _ArrayT: ...
     @overload
     def compress(
         self, condition: _nt.ToBool_nd, axis: None = None, out: None = None
     ) -> MaskedArray[_nt.Rank1, _DTypeT_co]: ...
     @overload
     def compress(  # pyright: ignore[reportIncompatibleMethodOverride]
-        self, condition: _nt.ToBool_nd, axis: _ShapeLike | None = None, out: None = None
+        self, condition: _nt.ToBool_nd, axis: _nt.ShapeLike | None = None, out: None = None
     ) -> MaskedArray[_nt.AnyShape, _DTypeT_co]: ...
 
     # TODO: How to deal with the non-commutative nature of `==` and `!=`?
@@ -1219,11 +1218,11 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def count(self, axis: None = None, keepdims: L[False] | _NoValueType = ...) -> int: ...
     @overload
-    def count(self, axis: _ShapeLike, keepdims: bool | _NoValueType = ...) -> _nt.MArray[np.int_]: ...
+    def count(self, axis: _nt.ShapeLike, keepdims: bool | _NoValueType = ...) -> _nt.MArray[np.int_]: ...
     @overload
-    def count(self, axis: _ShapeLike | None = None, *, keepdims: L[True]) -> _nt.MArray[np.int_]: ...
+    def count(self, axis: _nt.ShapeLike | None = None, *, keepdims: L[True]) -> _nt.MArray[np.int_]: ...
     @overload
-    def count(self, axis: _ShapeLike | None, keepdims: L[True]) -> _nt.MArray[np.int_]: ...
+    def count(self, axis: _nt.ShapeLike | None, keepdims: L[True]) -> _nt.MArray[np.int_]: ...
 
     # Keep in sync with `ndarray.reshape`
     @override
@@ -1302,34 +1301,34 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def all(self, axis: None = None, out: None = None, keepdims: L[False] | _NoValueType = ...) -> bool_: ...
     @overload
-    def all(self, axis: _ShapeLike | None = None, out: None = None, *, keepdims: L[True]) -> _nt.MArray[bool_]: ...
+    def all(self, axis: _nt.ShapeLike | None = None, out: None = None, *, keepdims: L[True]) -> _nt.MArray[bool_]: ...
     @overload
-    def all(self, axis: _ShapeLike | None, out: None, keepdims: L[True]) -> _nt.MArray[bool_]: ...
+    def all(self, axis: _nt.ShapeLike | None, out: None, keepdims: L[True]) -> _nt.MArray[bool_]: ...
     @overload
     def all(
-        self, axis: _ShapeLike | None = None, out: None = None, keepdims: bool | _NoValueType = ...
+        self, axis: _nt.ShapeLike | None = None, out: None = None, keepdims: bool | _NoValueType = ...
     ) -> bool_ | _nt.MArray[bool_]: ...
     @overload
-    def all(self, axis: _ShapeLike | None = None, *, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...
+    def all(self, axis: _nt.ShapeLike | None = None, *, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...
     @overload
-    def all(self, axis: _ShapeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...  # pyright: ignore[reportIncompatibleMethodOverride]
+    def all(self, axis: _nt.ShapeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...  # pyright: ignore[reportIncompatibleMethodOverride]
 
     # Keep in sync with `ma.core.any`
     @override  # type: ignore[override]
     @overload
     def any(self, axis: None = None, out: None = None, keepdims: L[False] | _NoValueType = ...) -> bool_: ...
     @overload
-    def any(self, axis: _ShapeLike | None = None, out: None = None, *, keepdims: L[True]) -> _nt.MArray[bool_]: ...
+    def any(self, axis: _nt.ShapeLike | None = None, out: None = None, *, keepdims: L[True]) -> _nt.MArray[bool_]: ...
     @overload
-    def any(self, axis: _ShapeLike | None, out: None, keepdims: L[True]) -> _nt.MArray[bool_]: ...
+    def any(self, axis: _nt.ShapeLike | None, out: None, keepdims: L[True]) -> _nt.MArray[bool_]: ...
     @overload
     def any(
-        self, axis: _ShapeLike | None = None, out: None = None, keepdims: bool | _NoValueType = ...
+        self, axis: _nt.ShapeLike | None = None, out: None = None, keepdims: bool | _NoValueType = ...
     ) -> bool_ | _nt.MArray[bool_]: ...
     @overload
-    def any(self, axis: _ShapeLike | None = None, *, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...
+    def any(self, axis: _nt.ShapeLike | None = None, *, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...
     @overload
-    def any(self, axis: _ShapeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...  # pyright: ignore[reportIncompatibleMethodOverride]
+    def any(self, axis: _nt.ShapeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...  # pyright: ignore[reportIncompatibleMethodOverride]
 
     # Keep in sync with `ndarray.trace` and `ma.core.trace`
     @override  # type: ignore[override]
@@ -1370,20 +1369,20 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     def sum(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         keepdims: bool | _NoValueType = ...,
     ) -> Incomplete: ...
     @overload
     def sum(
-        self, /, axis: _ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
+        self, /, axis: _nt.ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
     ) -> _ArrayT: ...
     @overload
     def sum(  # pyright: ignore[reportIncompatibleMethodOverride]
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1407,20 +1406,20 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     def prod(
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         keepdims: bool | _NoValueType = ...,
     ) -> Incomplete: ...
     @overload
     def prod(
-        self, /, axis: _ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
+        self, /, axis: _nt.ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
     ) -> _ArrayT: ...
     @overload
     def prod(  # pyright: ignore[reportIncompatibleMethodOverride]
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1445,20 +1444,20 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def mean(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         keepdims: bool | _NoValueType = ...,
     ) -> Incomplete: ...
     @overload
     def mean(
-        self, /, axis: _ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
+        self, /, axis: _nt.ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
     ) -> _ArrayT: ...
     @overload
     def mean(  # pyright: ignore[reportIncompatibleMethodOverride]
         self,
         /,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1478,7 +1477,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def var(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         ddof: float = 0,
@@ -1488,7 +1487,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def var(
         self,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         dtype: DTypeLike | None,
         out: _ArrayT,
         ddof: float = 0,
@@ -1498,7 +1497,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def var(  # pyright: ignore[reportIncompatibleMethodOverride]
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1512,7 +1511,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def std(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         out: None = None,
         ddof: float = 0,
@@ -1522,7 +1521,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def std(
         self,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         dtype: DTypeLike | None,
         out: _ArrayT,
         ddof: float = 0,
@@ -1532,7 +1531,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def std(  # pyright: ignore[reportIncompatibleMethodOverride]
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         dtype: DTypeLike | None = None,
         *,
         out: _ArrayT,
@@ -1667,7 +1666,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def min(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         out: None = None,
         fill_value: _ScalarLike_co | None = None,
         keepdims: bool | _NoValueType = ...,
@@ -1675,7 +1674,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def min(
         self,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         out: _ArrayT,
         fill_value: _ScalarLike_co | None = None,
         keepdims: bool | _NoValueType = ...,
@@ -1683,7 +1682,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def min(  # pyright: ignore[reportIncompatibleMethodOverride]
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         *,
         out: _ArrayT,
         fill_value: _ScalarLike_co | None = None,
@@ -1703,7 +1702,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def max(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         out: None = None,
         fill_value: _ScalarLike_co | None = None,
         keepdims: bool | _NoValueType = ...,
@@ -1711,7 +1710,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def max(
         self,
-        axis: _ShapeLike | None,
+        axis: _nt.ShapeLike | None,
         out: _ArrayT,
         fill_value: _ScalarLike_co | None = None,
         keepdims: bool | _NoValueType = ...,
@@ -1719,7 +1718,7 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def max(  # pyright: ignore[reportIncompatibleMethodOverride]
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         *,
         out: _ArrayT,
         fill_value: _ScalarLike_co | None = None,
@@ -1739,19 +1738,19 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @overload
     def ptp(
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         out: None = None,
         fill_value: _ScalarLike_co | None = None,
         keepdims: bool = False,
     ) -> Any: ...
     @overload
     def ptp(
-        self, axis: _ShapeLike | None, out: _ArrayT, fill_value: _ScalarLike_co | None = None, keepdims: bool = False
+        self, axis: _nt.ShapeLike | None, out: _ArrayT, fill_value: _ScalarLike_co | None = None, keepdims: bool = False
     ) -> _ArrayT: ...
     @overload
     def ptp(  # pyright: ignore[reportIncompatibleVariableOverride]
         self,
-        axis: _ShapeLike | None = None,
+        axis: _nt.ShapeLike | None = None,
         *,
         out: _ArrayT,
         fill_value: _ScalarLike_co | None = None,
@@ -2048,20 +2047,20 @@ anomalies = anom
 @overload
 def all(a: ArrayLike, axis: None = None, out: None = None, keepdims: L[False] | _NoValueType = ...) -> np.bool: ...
 @overload
-def all(a: ArrayLike, axis: _ShapeLike | None, out: None, keepdims: L[True]) -> _nt.MArray[np.bool]: ...
+def all(a: ArrayLike, axis: _nt.ShapeLike | None, out: None, keepdims: L[True]) -> _nt.MArray[np.bool]: ...
 @overload
 def all(
-    a: ArrayLike, axis: _ShapeLike | None = None, out: None = None, *, keepdims: L[True]
+    a: ArrayLike, axis: _nt.ShapeLike | None = None, out: None = None, *, keepdims: L[True]
 ) -> _nt.MArray[np.bool]: ...
 @overload
 def all(
-    a: ArrayLike, axis: _ShapeLike | None = None, out: None = None, keepdims: bool | _NoValueType = ...
+    a: ArrayLike, axis: _nt.ShapeLike | None = None, out: None = None, keepdims: bool | _NoValueType = ...
 ) -> np.bool | _nt.MArray[np.bool]: ...
 @overload
-def all(a: ArrayLike, axis: _ShapeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...
+def all(a: ArrayLike, axis: _nt.ShapeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...
 @overload
 def all(
-    a: ArrayLike, axis: _ShapeLike | None = None, *, out: _ArrayT, keepdims: bool | _NoValueType = ...
+    a: ArrayLike, axis: _nt.ShapeLike | None = None, *, out: _ArrayT, keepdims: bool | _NoValueType = ...
 ) -> _ArrayT: ...
 
 # TODO: sync with `MaskedArray.any`
@@ -2069,20 +2068,20 @@ def all(
 @overload
 def any(a: ArrayLike, axis: None = None, out: None = None, keepdims: L[False] | _NoValueType = ...) -> np.bool: ...
 @overload
-def any(a: ArrayLike, axis: _ShapeLike | None, out: None, keepdims: L[True]) -> _nt.MArray[np.bool]: ...
+def any(a: ArrayLike, axis: _nt.ShapeLike | None, out: None, keepdims: L[True]) -> _nt.MArray[np.bool]: ...
 @overload
 def any(
-    a: ArrayLike, axis: _ShapeLike | None = None, out: None = None, *, keepdims: L[True]
+    a: ArrayLike, axis: _nt.ShapeLike | None = None, out: None = None, *, keepdims: L[True]
 ) -> _nt.MArray[np.bool]: ...
 @overload
 def any(
-    a: ArrayLike, axis: _ShapeLike | None = None, out: None = None, keepdims: bool | _NoValueType = ...
+    a: ArrayLike, axis: _nt.ShapeLike | None = None, out: None = None, keepdims: bool | _NoValueType = ...
 ) -> np.bool | _nt.MArray[np.bool]: ...
 @overload
-def any(a: ArrayLike, axis: _ShapeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...
+def any(a: ArrayLike, axis: _nt.ShapeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...) -> _ArrayT: ...
 @overload
 def any(
-    a: ArrayLike, axis: _ShapeLike | None = None, *, out: _ArrayT, keepdims: bool | _NoValueType = ...
+    a: ArrayLike, axis: _nt.ShapeLike | None = None, *, out: _ArrayT, keepdims: bool | _NoValueType = ...
 ) -> _ArrayT: ...
 
 # TODO: sync with `MaskedArray.compress`
@@ -2094,7 +2093,7 @@ def compress(
 ) -> _nt.MArray1D[_ScalarT]: ...
 @overload
 def compress(
-    condition: _nt.ToBool_nd, a: _ArrayLike[_ScalarT], axis: _ShapeLike, out: None = None
+    condition: _nt.ToBool_nd, a: _ArrayLike[_ScalarT], axis: _nt.ShapeLike, out: None = None
 ) -> _nt.MArray[_ScalarT]: ...
 @overload
 def compress(
@@ -2102,12 +2101,12 @@ def compress(
 ) -> _nt.MArray1D[Incomplete]: ...
 @overload
 def compress(
-    condition: _nt.ToBool_nd, a: ArrayLike, axis: _ShapeLike | None = None, out: None = None
+    condition: _nt.ToBool_nd, a: ArrayLike, axis: _nt.ShapeLike | None = None, out: None = None
 ) -> _nt.MArray[Incomplete]: ...
 @overload
-def compress(condition: _nt.ToBool_nd, a: ArrayLike, axis: _ShapeLike | None, out: _ArrayT) -> _ArrayT: ...
+def compress(condition: _nt.ToBool_nd, a: ArrayLike, axis: _nt.ShapeLike | None, out: _ArrayT) -> _ArrayT: ...
 @overload
-def compress(condition: _nt.ToBool_nd, a: ArrayLike, axis: _ShapeLike | None = None, *, out: _ArrayT) -> _ArrayT: ...
+def compress(condition: _nt.ToBool_nd, a: ArrayLike, axis: _nt.ShapeLike | None = None, *, out: _ArrayT) -> _ArrayT: ...
 
 # TODO: sync with `MaskedArray.cumsum`
 # Keep in sync with `cumprod`
@@ -2136,19 +2135,19 @@ def cumprod(a: ArrayLike, axis: CanIndex | None = None, dtype: DTypeLike | None
 @overload
 def mean(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     out: None = None,
     keepdims: bool | _NoValueType = ...,
 ) -> Incomplete: ...
 @overload
 def mean(
-    a: ArrayLike, axis: _ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
+    a: ArrayLike, axis: _nt.ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
 ) -> _ArrayT: ...
 @overload
 def mean(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -2160,19 +2159,19 @@ def mean(
 @overload
 def sum(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     out: None = None,
     keepdims: bool | _NoValueType = ...,
 ) -> Incomplete: ...
 @overload
 def sum(
-    a: ArrayLike, axis: _ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
+    a: ArrayLike, axis: _nt.ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
 ) -> _ArrayT: ...
 @overload
 def sum(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -2184,19 +2183,19 @@ def sum(
 @overload
 def prod(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     out: None = None,
     keepdims: bool | _NoValueType = ...,
 ) -> Incomplete: ...
 @overload
 def prod(
-    a: ArrayLike, axis: _ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
+    a: ArrayLike, axis: _nt.ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: bool | _NoValueType = ...
 ) -> _ArrayT: ...
 @overload
 def prod(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -2236,7 +2235,7 @@ def trace(
 @overload
 def std(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     out: None = None,
     ddof: float = 0,
@@ -2246,7 +2245,7 @@ def std(
 @overload
 def std(
     a: ArrayLike,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     dtype: DTypeLike | None,
     out: _ArrayT,
     ddof: float = 0,
@@ -2256,7 +2255,7 @@ def std(
 @overload
 def std(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -2270,7 +2269,7 @@ def std(
 @overload
 def var(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     out: None = None,
     ddof: float = 0,
@@ -2280,7 +2279,7 @@ def var(
 @overload
 def var(
     a: ArrayLike,
-    axis: _ShapeLike | None,
+    axis: _nt.ShapeLike | None,
     dtype: DTypeLike | None,
     out: _ArrayT,
     ddof: float = 0,
@@ -2290,7 +2289,7 @@ def var(
 @overload
 def var(
     a: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     dtype: DTypeLike | None = None,
     *,
     out: _ArrayT,
@@ -2303,11 +2302,11 @@ def var(
 @overload
 def count(a: ArrayLike, axis: None = None, keepdims: L[False] | _NoValueType = ...) -> int: ...
 @overload
-def count(a: ArrayLike, axis: _ShapeLike, keepdims: bool | _NoValueType = ...) -> _nt.Array[np.int_]: ...
+def count(a: ArrayLike, axis: _nt.ShapeLike, keepdims: bool | _NoValueType = ...) -> _nt.Array[np.int_]: ...
 @overload
-def count(a: ArrayLike, axis: _ShapeLike | None = None, *, keepdims: L[True]) -> _nt.Array[np.int_]: ...
+def count(a: ArrayLike, axis: _nt.ShapeLike | None = None, *, keepdims: L[True]) -> _nt.Array[np.int_]: ...
 @overload
-def count(a: ArrayLike, axis: _ShapeLike | None, keepdims: L[True]) -> _nt.Array[np.int_]: ...
+def count(a: ArrayLike, axis: _nt.ShapeLike | None, keepdims: L[True]) -> _nt.Array[np.int_]: ...
 
 # TODO: sync with `MaskedArray.argmin`
 # Keep in sync with `argmax`
@@ -2417,7 +2416,7 @@ def min(
 @overload
 def min(
     obj: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     out: None = None,
     fill_value: _ScalarLike_co | None = None,
     keepdims: bool | _NoValueType = ...,
@@ -2433,7 +2432,7 @@ def min(
 @overload
 def min(
     obj: ArrayLike,
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     out: _ArrayT,
     fill_value: _ScalarLike_co | None = None,
@@ -2928,7 +2927,7 @@ def empty(
 ) -> _nt.MArray[Incomplete, _ShapeT]: ...
 @overload  # unknown shape, default dtype
 def empty(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _nt.ToDTypeFloat64 | None = None,
     order: np._OrderCF = "C",
     *,
@@ -2939,7 +2938,7 @@ def empty(
 ) -> _nt.MArray[np.float64]: ...
 @overload  # unknown shape, known dtype
 def empty(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _DTypeT | _HasDType[_DTypeT],
     order: np._OrderCF = "C",
     *,
@@ -2950,7 +2949,7 @@ def empty(
 ) -> MaskedArray[Incomplete, _DTypeT]: ...
 @overload  # unknown shape, known scalar-type
 def empty(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: _DTypeLike[_ScalarT],
     order: np._OrderCF = "C",
     *,
@@ -2961,7 +2960,7 @@ def empty(
 ) -> _nt.MArray[_ScalarT]: ...
 @overload  # unknown shape, unknown dtype
 def empty(
-    shape: _ShapeLike,
+    shape: _nt.ShapeLike,
     dtype: DTypeLike | None = None,
     order: np._OrderCF = "C",
     *,
@@ -3232,7 +3231,7 @@ def empty_like(
     dtype: np.dtype[_ScalarT] | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.MArray[_ScalarT]: ...
@@ -3254,7 +3253,7 @@ def empty_like(
     dtype: _DTypeT | _HasDType[_DTypeT],
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> MaskedArray[Incomplete, _DTypeT]: ...
@@ -3276,7 +3275,7 @@ def empty_like(
     dtype: _DTypeLike[_ScalarT],
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.MArray[_ScalarT]: ...
@@ -3287,7 +3286,7 @@ def empty_like(
     dtype: _nt.ToDTypeBool | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.MArray[np.bool_]: ...
@@ -3298,7 +3297,7 @@ def empty_like(
     dtype: _nt.ToDTypeInt64 | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.MArray[np.intp]: ...
@@ -3309,7 +3308,7 @@ def empty_like(
     dtype: _nt.ToDTypeFloat64 | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.MArray[np.float64]: ...
@@ -3320,7 +3319,7 @@ def empty_like(
     dtype: _nt.ToDTypeComplex128 | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.MArray[np.complex128]: ...
@@ -3342,7 +3341,7 @@ def empty_like(
     dtype: DTypeLike | None = None,
     order: _OrderKACF = "K",
     subok: bool = True,
-    shape: _ShapeLike | None = None,
+    shape: _nt.ShapeLike | None = None,
     *,
     device: _Device | None = None,
 ) -> _nt.MArray[Incomplete]: ...
@@ -3496,12 +3495,12 @@ def indices(
 # keep roughly in sync with `_core.fromnumeric.squeeze`
 @overload  # workaround for microsoft/pyright#10232
 def squeeze(
-    a: _ScalarT, axis: _ShapeLike | None = None, *, fill_value: complex | None = None, hardmask: bool = False
+    a: _ScalarT, axis: _nt.ShapeLike | None = None, *, fill_value: complex | None = None, hardmask: bool = False
 ) -> _nt.MArray0D[_ScalarT]: ...
 @overload  # workaround for microsoft/pyright#10232
 def squeeze(
     a: _nt._ToArray_nnd[_ScalarT],
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     fill_value: complex | None = None,
     hardmask: bool = False,
@@ -3509,12 +3508,12 @@ def squeeze(
 @overload
 def squeeze(
     a: _nt._ToArray_nd[_ScalarT],
-    axis: _ShapeLike | None = None,
+    axis: _nt.ShapeLike | None = None,
     *,
     fill_value: complex | None = None,
     hardmask: bool = False,
 ) -> _nt.MArray[_ScalarT]: ...
 @overload
 def squeeze(
-    a: ArrayLike, axis: _ShapeLike | None = None, *, fill_value: complex | None = None, hardmask: bool = False
+    a: ArrayLike, axis: _nt.ShapeLike | None = None, *, fill_value: complex | None = None, hardmask: bool = False
 ) -> _nt.MArray[Incomplete]: ...
diff --git a/src/numpy-stubs/ma/extras.pyi b/src/numpy-stubs/ma/extras.pyi
index cc102f25..90bb9a65 100644
--- a/src/numpy-stubs/ma/extras.pyi
+++ b/src/numpy-stubs/ma/extras.pyi
@@ -5,7 +5,7 @@ from typing_extensions import TypeVar, override
 
 import _numtype as _nt
 import numpy as np
-from numpy._typing import ArrayLike, DTypeLike, _ArrayLike, _DTypeLike, _ShapeLike
+from numpy._typing import ArrayLike, DTypeLike, _ArrayLike, _DTypeLike
 from numpy.lib._function_base_impl import average
 from numpy.lib._index_tricks_impl import AxisConcatenator
 
@@ -312,9 +312,9 @@ def stack(
 
 # keep in sync with `numpy._core.shape_base_impl.hsplit`
 @overload
-def hsplit(ary: _ArrayLike[_ScalarT], indices_or_sections: _ShapeLike) -> list[_nt.MArray[_ScalarT]]: ...
+def hsplit(ary: _ArrayLike[_ScalarT], indices_or_sections: _nt.ShapeLike) -> list[_nt.MArray[_ScalarT]]: ...
 @overload
-def hsplit(ary: ArrayLike, indices_or_sections: _ShapeLike) -> list[_nt.MArray[Incomplete]]: ...
+def hsplit(ary: ArrayLike, indices_or_sections: _nt.ShapeLike) -> list[_nt.MArray[Incomplete]]: ...
 
 # keep in sync with `numpy._core.twodim_base_impl.hsplit`
 @overload
diff --git a/src/numpy-stubs/random/_generator.pyi b/src/numpy-stubs/random/_generator.pyi
index 81d4df5f..2ccced65 100644
--- a/src/numpy-stubs/random/_generator.pyi
+++ b/src/numpy-stubs/random/_generator.pyi
@@ -6,7 +6,7 @@ from typing_extensions import TypeVar, override
 import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
-from numpy._typing import _ArrayLike, _BoolCodes, _DTypeLike, _ShapeLike
+from numpy._typing import _ArrayLike, _BoolCodes, _DTypeLike
 from numpy.random import BitGenerator, RandomState, SeedSequence
 
 ###
@@ -105,7 +105,7 @@ class Generator:
         self,
         /,
         a: int,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         replace: bool = True,
         p: _nt.CoFloating_nd | None = None,
         axis: int = 0,
@@ -116,7 +116,7 @@ class Generator:
         self,
         /,
         a: _ArrayLike[_ScalarT],
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         replace: bool = True,
         p: _nt.CoFloating_nd | None = None,
         axis: int = 0,
@@ -127,7 +127,7 @@ class Generator:
         self,
         /,
         a: npt.ArrayLike,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         replace: bool = True,
         p: _nt.CoFloating_nd | None = None,
         axis: int = 0,
@@ -142,19 +142,19 @@ class Generator:
     def random(self, /, size: None = None, dtype: _DTypeLikeFloat = ..., out: None = None) -> float: ...
     @overload
     def random(
-        self, /, size: _ShapeLike | None = None, dtype: _nt.ToDTypeFloat64 = ..., *, out: _nt.Array[np.float64, _ShapeT]
+        self, /, size: _nt.ShapeLike | None = None, dtype: _nt.ToDTypeFloat64 = ..., *, out: _nt.Array[np.float64, _ShapeT]
     ) -> _nt.Array[np.float64, _ShapeT]: ...
     @overload
     def random(
-        self, /, size: _ShapeLike, dtype: _nt.ToDTypeFloat64 = ..., out: _nt.Array[np.float64] | None = None
+        self, /, size: _nt.ShapeLike, dtype: _nt.ToDTypeFloat64 = ..., out: _nt.Array[np.float64] | None = None
     ) -> _nt.Array[np.float64]: ...
     @overload
     def random(
-        self, /, size: _ShapeLike | None = None, dtype: _nt.ToDTypeFloat32 = ..., *, out: _nt.Array[np.float32, _ShapeT]
+        self, /, size: _nt.ShapeLike | None = None, dtype: _nt.ToDTypeFloat32 = ..., *, out: _nt.Array[np.float32, _ShapeT]
     ) -> _nt.Array[np.float32, _ShapeT]: ...
     @overload
     def random(
-        self, /, size: _ShapeLike, dtype: _nt.ToDTypeFloat32, out: _nt.Array[np.float32] | None = None
+        self, /, size: _nt.ShapeLike, dtype: _nt.ToDTypeFloat32, out: _nt.Array[np.float32] | None = None
     ) -> _nt.Array[np.float32]: ...
 
     #
@@ -174,15 +174,15 @@ class Generator:
     def uniform(self, /, low: _nt.CoFloating_0d = 0.0, high: _nt.CoFloating_0d = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def uniform(
-        self, /, low: _nt.CoFloating_nd, high: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, low: _nt.CoFloating_nd, high: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def uniform(
-        self, /, low: _nt.CoFloating_nd = 0.0, high: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, low: _nt.CoFloating_nd = 0.0, high: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def uniform(
-        self, /, low: _nt.CoFloating_nd = 0.0, high: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, low: _nt.CoFloating_nd = 0.0, high: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -204,7 +204,7 @@ class Generator:
     ) -> float: ...
     @overload  # size: (int, ...)
     def triangular(
-        self, /, left: _nt.CoFloating_nd, mode: _nt.CoFloating_nd, right: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, left: _nt.CoFloating_nd, mode: _nt.CoFloating_nd, right: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def triangular(
@@ -213,7 +213,7 @@ class Generator:
         left: _nt.CoFloating_nd,
         mode: _nt.CoFloating_nd,
         right: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -224,10 +224,10 @@ class Generator:
     @overload  # size: None  (default)
     def beta(self, /, a: _nt.CoFloating_0d, b: _nt.CoFloating_0d, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def beta(self, /, a: _nt.CoFloating_nd, b: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def beta(self, /, a: _nt.CoFloating_nd, b: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def beta(
-        self, /, a: _nt.CoFloating_nd, b: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, a: _nt.CoFloating_nd, b: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -239,7 +239,7 @@ class Generator:
     def standard_exponential(
         self,
         /,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         dtype: _nt.ToDTypeFloat64 = ...,
         method: _ExpMethod = "zig",
         *,
@@ -249,7 +249,7 @@ class Generator:
     def standard_exponential(
         self,
         /,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeFloat64 = ...,
         method: _ExpMethod = "zig",
         out: _nt.Array[np.float64] | None = None,
@@ -258,7 +258,7 @@ class Generator:
     def standard_exponential(
         self,
         /,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         dtype: _nt.ToDTypeFloat32 = ...,
         method: _ExpMethod = "zig",
         *,
@@ -268,7 +268,7 @@ class Generator:
     def standard_exponential(
         self,
         /,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeFloat32,
         method: _ExpMethod = "zig",
         out: _nt.Array[np.float32] | None = None,
@@ -280,12 +280,12 @@ class Generator:
     @overload
     def exponential(self, /, scale: _nt.CoFloating_0d = 1.0, size: None = None) -> float: ...
     @overload
-    def exponential(self, /, scale: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def exponential(self, /, scale: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload
-    def exponential(self, /, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def exponential(self, /, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload
     def exponential(
-        self, /, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -305,15 +305,15 @@ class Generator:
     def laplace(self, /, loc: _nt.CoFloating_0d = 0.0, scale: _nt.CoFloating_0d = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def laplace(
-        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def laplace(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def laplace(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -333,15 +333,15 @@ class Generator:
     def logistic(self, /, loc: _nt.CoFloating_0d = 0.0, scale: _nt.CoFloating_0d = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def logistic(
-        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def logistic(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def logistic(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -350,9 +350,9 @@ class Generator:
     @overload  # size: None  (default)
     def power(self, /, a: _nt.CoFloating_0d, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def power(self, /, a: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def power(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def power(self, /, a: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def power(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -360,9 +360,9 @@ class Generator:
     @overload  # size: None  (default)
     def pareto(self, /, a: _nt.CoFloating_0d, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def pareto(self, /, a: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def pareto(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def pareto(self, /, a: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def pareto(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -381,15 +381,15 @@ class Generator:
     def gumbel(self, /, loc: _nt.CoFloating_0d = 0.0, scale: _nt.CoFloating_0d = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def gumbel(
-        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def gumbel(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def gumbel(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -398,9 +398,9 @@ class Generator:
     @overload  # size: None  (default)
     def weibull(self, /, a: _nt.CoFloating_0d, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def weibull(self, /, a: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def weibull(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def weibull(self, /, a: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def weibull(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -408,12 +408,12 @@ class Generator:
     @overload  # size: None  (default)
     def rayleigh(self, /, scale: _nt.CoFloating_0d = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
-    def rayleigh(self, /, scale: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def rayleigh(self, /, scale: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
-    def rayleigh(self, /, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def rayleigh(self, /, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def rayleigh(
-        self, /, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -422,9 +422,9 @@ class Generator:
     @overload  # size: None  (default)
     def chisquare(self, /, df: _nt.CoFloating_0d, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def chisquare(self, /, df: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def chisquare(self, /, df: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def chisquare(self, /, df: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def chisquare(self, /, df: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -439,11 +439,11 @@ class Generator:
     def noncentral_chisquare(self, /, df: _nt.CoFloating_0d, nonc: _nt.CoFloating_0d, size: None = None) -> float: ...
     @overload  # size: (int, ...)
     def noncentral_chisquare(
-        self, /, df: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, df: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def noncentral_chisquare(
-        self, /, df: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, df: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -451,19 +451,19 @@ class Generator:
     def standard_normal(self, /, size: None = None, dtype: _DTypeLikeFloat = ..., out: None = None) -> float: ...
     @overload
     def standard_normal(
-        self, /, size: _ShapeLike | None = None, dtype: _nt.ToDTypeFloat64 = ..., *, out: _nt.Array[np.float64]
+        self, /, size: _nt.ShapeLike | None = None, dtype: _nt.ToDTypeFloat64 = ..., *, out: _nt.Array[np.float64]
     ) -> _nt.Array[np.float64]: ...
     @overload
     def standard_normal(
-        self, /, size: _ShapeLike, dtype: _nt.ToDTypeFloat64 = ..., out: _nt.Array[np.float64] | None = None
+        self, /, size: _nt.ShapeLike, dtype: _nt.ToDTypeFloat64 = ..., out: _nt.Array[np.float64] | None = None
     ) -> _nt.Array[np.float64]: ...
     @overload
     def standard_normal(
-        self, /, size: _ShapeLike | None = ..., dtype: _nt.ToDTypeFloat32 = ..., *, out: _nt.Array[np.float32]
+        self, /, size: _nt.ShapeLike | None = ..., dtype: _nt.ToDTypeFloat32 = ..., *, out: _nt.Array[np.float32]
     ) -> _nt.Array[np.float32]: ...
     @overload
     def standard_normal(
-        self, /, size: _ShapeLike, dtype: _nt.ToDTypeFloat32, out: _nt.Array[np.float32] | None = None
+        self, /, size: _nt.ShapeLike, dtype: _nt.ToDTypeFloat32, out: _nt.Array[np.float32] | None = None
     ) -> _nt.Array[np.float32]: ...
 
     #
@@ -483,15 +483,15 @@ class Generator:
     def normal(self, /, loc: _nt.CoFloating_0d = 0.0, scale: _nt.CoFloating_0d = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def normal(
-        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def normal(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def normal(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -513,15 +513,15 @@ class Generator:
     ) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def lognormal(
-        self, /, mean: _nt.CoFloating_nd, sigma: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, mean: _nt.CoFloating_nd, sigma: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def lognormal(
-        self, /, mean: _nt.CoFloating_nd = 0.0, sigma: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, mean: _nt.CoFloating_nd = 0.0, sigma: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def lognormal(
-        self, /, mean: _nt.CoFloating_nd = 0.0, sigma: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, mean: _nt.CoFloating_nd = 0.0, sigma: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -537,18 +537,18 @@ class Generator:
     def vonmises(self, /, mu: _nt.CoFloating_0d, kappa: _nt.CoFloating_0d, size: None = None) -> float: ...
     @overload  # size: (int, ...)
     def vonmises(
-        self, /, mu: _nt.CoFloating_nd, kappa: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, mu: _nt.CoFloating_nd, kappa: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def vonmises(
-        self, /, mu: _nt.CoFloating_nd, kappa: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, mu: _nt.CoFloating_nd, kappa: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def standard_cauchy(self, /, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def standard_cauchy(self, /, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def standard_cauchy(self, /, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -556,9 +556,9 @@ class Generator:
     @overload  # size: None  (default)
     def standard_t(self, /, df: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def standard_t(self, /, df: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def standard_t(self, /, df: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def standard_t(self, /, df: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def standard_t(self, /, df: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -582,7 +582,7 @@ class Generator:
         self,
         /,
         shape: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         dtype: _nt.ToDTypeFloat64 = ...,
         *,
         out: _nt.Array[np.float64],
@@ -592,7 +592,7 @@ class Generator:
         self,
         /,
         shape: _nt.CoFloating_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeFloat64 = ...,
         out: _nt.Array[np.float64] | None = None,
     ) -> _nt.Array[np.float64]: ...
@@ -601,7 +601,7 @@ class Generator:
         self,
         /,
         shape: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         dtype: _nt.ToDTypeFloat64 = ...,
         out: _nt.Array[np.float64] | None = None,
     ) -> float | _nt.Array[np.float64]: ...
@@ -610,7 +610,7 @@ class Generator:
         self,
         /,
         shape: _nt.CoFloating_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeFloat32,
         out: _nt.Array[np.float32] | None = None,
     ) -> _nt.Array[np.float32]: ...
@@ -619,7 +619,7 @@ class Generator:
         self,
         /,
         shape: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeFloat32,
         out: _nt.Array[np.float32],
@@ -629,7 +629,7 @@ class Generator:
         self,
         /,
         shape: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeFloat32,
         out: None = None,
@@ -648,15 +648,15 @@ class Generator:
     def gamma(self, /, shape: _nt.CoFloating_0d, scale: _nt.CoFloating_0d = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def gamma(
-        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def gamma(
-        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def gamma(
-        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -671,10 +671,10 @@ class Generator:
     @overload  # size: None  (default)
     def f(self, /, dfnum: _nt.CoFloating_0d, dfden: _nt.CoFloating_0d, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def f(self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def f(self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def f(
-        self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -696,7 +696,7 @@ class Generator:
     ) -> float: ...
     @overload  # size: (int, ...)
     def noncentral_f(
-        self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def noncentral_f(
@@ -705,7 +705,7 @@ class Generator:
         dfnum: _nt.CoFloating_nd,
         dfden: _nt.CoFloating_nd,
         nonc: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -720,10 +720,10 @@ class Generator:
     @overload  # size: None  (default)
     def wald(self, /, mean: float, scale: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def wald(self, /, mean: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def wald(self, /, mean: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def wald(
-        self, /, mean: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, mean: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     ###
@@ -840,13 +840,13 @@ class Generator:
         dtype: _nt.ToDTypeUInt64,
         endpoint: bool = False,
     ) -> np.uint64: ...
-    @overload  # size: _ShapeLike (positional)
+    @overload  # size: _nt.ShapeLike (positional)
     def integers(
         self,
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _DTypeLike[np.int64] = ...,
         endpoint: bool = False,
     ) -> _nt.Array[np.int64]: ...
@@ -856,7 +856,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _DTypeLike[_IntegerT],
         endpoint: bool = False,
     ) -> _nt.Array[_IntegerT]: ...
@@ -866,7 +866,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: type[bool] | _BoolCodes,
         endpoint: bool = False,
     ) -> _nt.Array[np.bool]: ...
@@ -876,7 +876,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt8,
         endpoint: bool = False,
     ) -> _nt.Array[np.int8]: ...
@@ -886,7 +886,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt8,
         endpoint: bool = False,
     ) -> _nt.Array[np.uint8]: ...
@@ -896,7 +896,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt16,
         endpoint: bool = False,
     ) -> _nt.Array[np.int16]: ...
@@ -906,7 +906,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt16,
         endpoint: bool = False,
     ) -> _nt.Array[np.uint16]: ...
@@ -916,7 +916,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt32,
         endpoint: bool = False,
     ) -> _nt.Array[np.int32]: ...
@@ -926,7 +926,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt32,
         endpoint: bool = False,
     ) -> _nt.Array[np.uint32]: ...
@@ -936,7 +936,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt64,
         endpoint: bool = False,
     ) -> _nt.Array[np.int64]: ...
@@ -946,18 +946,18 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt64,
         endpoint: bool = False,
     ) -> _nt.Array[np.uint64]: ...
-    @overload  # size: _ShapeLike (keyword)
+    @overload  # size: _nt.ShapeLike (keyword)
     def integers(
         self,
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _DTypeLike[np.int64] = ...,
         endpoint: bool = False,
     ) -> _nt.Array[np.int64]: ...
@@ -968,7 +968,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _DTypeLike[_IntegerT],
         endpoint: bool = False,
     ) -> _nt.Array[_IntegerT]: ...
@@ -979,7 +979,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: type[bool] | _BoolCodes,
         endpoint: bool = False,
     ) -> _nt.Array[np.bool]: ...
@@ -990,7 +990,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt8,
         endpoint: bool = False,
     ) -> _nt.Array[np.int8]: ...
@@ -1001,7 +1001,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt8,
         endpoint: bool = False,
     ) -> _nt.Array[np.uint8]: ...
@@ -1012,7 +1012,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt16,
         endpoint: bool = False,
     ) -> _nt.Array[np.int16]: ...
@@ -1023,7 +1023,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt16,
         endpoint: bool = False,
     ) -> _nt.Array[np.uint16]: ...
@@ -1034,7 +1034,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt32,
         endpoint: bool = False,
     ) -> _nt.Array[np.int32]: ...
@@ -1045,7 +1045,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt32,
         endpoint: bool = False,
     ) -> _nt.Array[np.uint32]: ...
@@ -1056,7 +1056,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt64,
         endpoint: bool = False,
     ) -> _nt.Array[np.int64]: ...
@@ -1067,7 +1067,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt64,
         endpoint: bool = False,
     ) -> _nt.Array[np.uint64]: ...
@@ -1077,7 +1077,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: type[bool],
         endpoint: bool = False,
@@ -1088,7 +1088,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _DTypeLike[_IntegerT],
         endpoint: bool = False,
@@ -1099,7 +1099,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _BoolCodes,
         endpoint: bool = False,
@@ -1110,7 +1110,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeInt8,
         endpoint: bool = False,
@@ -1121,7 +1121,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeUInt8,
         endpoint: bool = False,
@@ -1132,7 +1132,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeInt16,
         endpoint: bool = False,
@@ -1143,7 +1143,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeUInt16,
         endpoint: bool = False,
@@ -1154,7 +1154,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeInt32,
         endpoint: bool = False,
@@ -1165,7 +1165,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeUInt32,
         endpoint: bool = False,
@@ -1176,7 +1176,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeInt64 = ...,
         endpoint: bool = False,
@@ -1187,7 +1187,7 @@ class Generator:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeUInt64,
         endpoint: bool = False,
@@ -1201,10 +1201,10 @@ class Generator:
     @overload  # size: None  (default)
     def binomial(self, /, n: int, p: _nt.CoFloating_0d, size: None = None) -> int: ...
     @overload  # size: (int, ...)
-    def binomial(self, /, n: _nt.CoInteger_nd, p: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int64]: ...
+    def binomial(self, /, n: _nt.CoInteger_nd, p: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int64]: ...
     @overload  # fallback
     def binomial(
-        self, /, n: _nt.CoInteger_nd, p: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, n: _nt.CoInteger_nd, p: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> int | _nt.Array[np.int64]: ...
 
     #
@@ -1220,11 +1220,11 @@ class Generator:
     def negative_binomial(self, /, n: _nt.CoFloating_0d, p: _nt.CoFloating_0d, size: None = None) -> int: ...
     @overload  # size: (int, ...)
     def negative_binomial(
-        self, /, n: _nt.CoFloating_nd, p: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, n: _nt.CoFloating_nd, p: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.int64]: ...
     @overload  # fallback
     def negative_binomial(
-        self, /, n: _nt.CoFloating_nd, p: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, n: _nt.CoFloating_nd, p: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> int | _nt.Array[np.int64]: ...
 
     #
@@ -1233,11 +1233,11 @@ class Generator:
     @overload  # size: None  (default)
     def poisson(self, /, lam: _nt.CoFloating_0d = 1.0, size: None = None) -> int: ...
     @overload  # size: (int, ...)  (positional)
-    def poisson(self, /, lam: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int64]: ...
+    def poisson(self, /, lam: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int64]: ...
     @overload  # size: (int, ...)  (keyword)
-    def poisson(self, /, lam: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike) -> _nt.Array[np.int64]: ...
+    def poisson(self, /, lam: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike) -> _nt.Array[np.int64]: ...
     @overload  # fallback
-    def poisson(self, /, lam: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None) -> int | _nt.Array[np.int64]: ...
+    def poisson(self, /, lam: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None) -> int | _nt.Array[np.int64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -1245,9 +1245,9 @@ class Generator:
     @overload  # size: None  (default)
     def zipf(self, /, a: _nt.CoFloating_0d, size: None = None) -> int: ...
     @overload  # size: (int, ...)
-    def zipf(self, /, a: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int64]: ...
+    def zipf(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int64]: ...
     @overload  # fallback
-    def zipf(self, /, a: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> int | _nt.Array[np.int64]: ...
+    def zipf(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> int | _nt.Array[np.int64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -1255,9 +1255,9 @@ class Generator:
     @overload  # size: None  (default)
     def geometric(self, /, p: _nt.CoFloating_0d, size: None = None) -> int: ...
     @overload  # size: (int, ...)
-    def geometric(self, /, p: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int64]: ...
+    def geometric(self, /, p: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int64]: ...
     @overload  # fallback
-    def geometric(self, /, p: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> int | _nt.Array[np.int64]: ...
+    def geometric(self, /, p: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> int | _nt.Array[np.int64]: ...
 
     #
     @overload  # workaround for microsoft/pyright#10232
@@ -1276,7 +1276,7 @@ class Generator:
     def hypergeometric(self, /, ngood: int, nbad: int, nsample: int, size: None = None) -> int: ...
     @overload  # size: (int, ...)
     def hypergeometric(
-        self, /, ngood: _nt.CoInteger_nd, nbad: _nt.CoInteger_nd, nsample: _nt.CoInteger_nd, size: _ShapeLike
+        self, /, ngood: _nt.CoInteger_nd, nbad: _nt.CoInteger_nd, nsample: _nt.CoInteger_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.int64]: ...
     @overload  # fallback
     def hypergeometric(
@@ -1285,7 +1285,7 @@ class Generator:
         ngood: _nt.CoInteger_nd,
         nbad: _nt.CoInteger_nd,
         nsample: _nt.CoInteger_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
     ) -> int | _nt.Array[np.int64]: ...
 
     #
@@ -1294,9 +1294,9 @@ class Generator:
     @overload  # size: None  (default)
     def logseries(self, /, p: _nt.CoFloating_0d, size: None = None) -> int: ...
     @overload  # size: (int, ...)
-    def logseries(self, /, p: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int64]: ...
+    def logseries(self, /, p: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int64]: ...
     @overload  # fallback
-    def logseries(self, /, p: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> int | _nt.Array[np.int64]: ...
+    def logseries(self, /, p: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> int | _nt.Array[np.int64]: ...
 
     ###
     # multivariate
@@ -1307,7 +1307,7 @@ class Generator:
         /,
         mean: _nt.CoFloating_nd,
         cov: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         check_valid: Literal["warn", "raise", "ignore"] = "warn",
         tol: float = 1e-8,
         *,
@@ -1315,11 +1315,11 @@ class Generator:
     ) -> _nt.Array[np.float64]: ...
 
     #
-    def dirichlet(self, /, alpha: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> _nt.Array[np.float64]: ...
+    def dirichlet(self, /, alpha: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> _nt.Array[np.float64]: ...
 
     #
     def multinomial(
-        self, /, n: _nt.CoInteger_nd, pvals: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, n: _nt.CoInteger_nd, pvals: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> _nt.Array[np.int64]: ...
 
     #
@@ -1327,7 +1327,7 @@ class Generator:
         self,
         colors: _nt.CoInteger_nd,
         nsample: int,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         method: Literal["marginals", "count"] = "marginals",
     ) -> _nt.Array[np.int64]: ...
 
diff --git a/src/numpy-stubs/random/bit_generator.pyi b/src/numpy-stubs/random/bit_generator.pyi
index 3c3009cc..f41f92d4 100644
--- a/src/numpy-stubs/random/bit_generator.pyi
+++ b/src/numpy-stubs/random/bit_generator.pyi
@@ -18,7 +18,7 @@ from typing_extensions import CapsuleType, TypeVar, override
 
 import _numtype as _nt
 import numpy as np
-from numpy._typing import _ArrayLikeInt_co, _DTypeLike, _ShapeLike, _UInt32Codes, _UInt64Codes
+from numpy._typing import _ArrayLikeInt_co, _DTypeLike, _UInt32Codes, _UInt64Codes
 
 __all__ = ["BitGenerator", "SeedSequence"]
 
@@ -93,11 +93,11 @@ class BitGenerator(_CythonMixin, abc.ABC, Generic[_StateT]):
     @overload
     def random_raw(self, /, size: None = None, output: L[True] = True) -> int: ...
     @overload
-    def random_raw(self, /, size: _ShapeLike, output: L[True] = True) -> _nt.Array[np.uint64]: ...
+    def random_raw(self, /, size: _nt.ShapeLike, output: L[True] = True) -> _nt.Array[np.uint64]: ...
     @overload
-    def random_raw(self, /, size: _ShapeLike | None, output: L[False]) -> None: ...
+    def random_raw(self, /, size: _nt.ShapeLike | None, output: L[False]) -> None: ...
     @overload
-    def random_raw(self, /, size: _ShapeLike | None = None, *, output: L[False]) -> None: ...
+    def random_raw(self, /, size: _nt.ShapeLike | None = None, *, output: L[False]) -> None: ...
 
 ###
 
diff --git a/src/numpy-stubs/random/mtrand.pyi b/src/numpy-stubs/random/mtrand.pyi
index be3897b9..a0fbc90f 100644
--- a/src/numpy-stubs/random/mtrand.pyi
+++ b/src/numpy-stubs/random/mtrand.pyi
@@ -6,7 +6,7 @@ from typing_extensions import TypeVar, override
 import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
-from numpy._typing import _ArrayLike, _BoolCodes, _DTypeLike, _ShapeLike
+from numpy._typing import _ArrayLike, _BoolCodes, _DTypeLike
 from numpy.random.bit_generator import BitGenerator
 
 __all__ = [
@@ -106,15 +106,15 @@ class RandomState:
     ) -> Any: ...
     @overload
     def choice(
-        self, /, a: int, size: _ShapeLike, replace: bool = True, p: _nt.CoFloating_nd | None = None
+        self, /, a: int, size: _nt.ShapeLike, replace: bool = True, p: _nt.CoFloating_nd | None = None
     ) -> _nt.Array[np.int_]: ...
     @overload
     def choice(
-        self, /, a: _ArrayLike[_ScalarT], size: _ShapeLike, replace: bool = True, p: _nt.CoFloating_nd | None = None
+        self, /, a: _ArrayLike[_ScalarT], size: _nt.ShapeLike, replace: bool = True, p: _nt.CoFloating_nd | None = None
     ) -> _nt.Array[_ScalarT]: ...
     @overload
     def choice(
-        self, /, a: npt.ArrayLike, size: _ShapeLike, replace: bool = True, p: _nt.CoFloating_nd | None = None
+        self, /, a: npt.ArrayLike, size: _nt.ShapeLike, replace: bool = True, p: _nt.CoFloating_nd | None = None
     ) -> _nt.Array[Any]: ...
 
     #
@@ -147,28 +147,28 @@ class RandomState:
     @overload
     def random_sample(self, /, size: None = None) -> float: ...
     @overload
-    def random_sample(self, /, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def random_sample(self, /, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
 
     #
     @overload
     def random(self, /, size: None = None) -> float: ...
     @overload
-    def random(self, /, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def random(self, /, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def uniform(self, /, low: float = 0.0, high: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def uniform(
-        self, /, low: _nt.CoFloating_nd, high: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, low: _nt.CoFloating_nd, high: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def uniform(
-        self, /, low: _nt.CoFloating_nd = 0.0, high: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, low: _nt.CoFloating_nd = 0.0, high: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def uniform(
-        self, /, low: _nt.CoFloating_nd = 0.0, high: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, low: _nt.CoFloating_nd = 0.0, high: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -176,7 +176,7 @@ class RandomState:
     def triangular(self, /, left: float, mode: float, right: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
     def triangular(
-        self, /, left: _nt.CoFloating_nd, mode: _nt.CoFloating_nd, right: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, left: _nt.CoFloating_nd, mode: _nt.CoFloating_nd, right: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def triangular(
@@ -185,35 +185,35 @@ class RandomState:
         left: _nt.CoFloating_nd,
         mode: _nt.CoFloating_nd,
         right: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def beta(self, /, a: float, b: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def beta(self, /, a: _nt.CoFloating_nd, b: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def beta(self, /, a: _nt.CoFloating_nd, b: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def beta(
-        self, /, a: _nt.CoFloating_nd, b: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, a: _nt.CoFloating_nd, b: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def standard_exponential(self, /, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def standard_exponential(self, /, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def standard_exponential(self, /, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def exponential(self, /, scale: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
-    def exponential(self, /, scale: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def exponential(self, /, scale: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
-    def exponential(self, /, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def exponential(self, /, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def exponential(
-        self, /, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -221,15 +221,15 @@ class RandomState:
     def laplace(self, /, loc: float = 0.0, scale: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def laplace(
-        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def laplace(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def laplace(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -237,109 +237,109 @@ class RandomState:
     def logistic(self, /, loc: float = 0.0, scale: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def logistic(
-        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def logistic(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def logistic(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def power(self, /, a: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def power(self, /, a: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def power(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def power(self, /, a: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def power(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def pareto(self, /, a: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def pareto(self, /, a: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def pareto(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def pareto(self, /, a: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def pareto(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def gumbel(self, /, loc: float = 0.0, scale: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def gumbel(
-        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def gumbel(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def gumbel(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def weibull(self, /, a: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def weibull(self, /, a: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def weibull(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def weibull(self, /, a: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def weibull(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def rayleigh(self, /, scale: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
-    def rayleigh(self, /, scale: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def rayleigh(self, /, scale: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
-    def rayleigh(self, /, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def rayleigh(self, /, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def rayleigh(
-        self, /, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def chisquare(self, /, df: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def chisquare(self, /, df: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def chisquare(self, /, df: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def chisquare(self, /, df: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def chisquare(self, /, df: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def noncentral_chisquare(self, /, df: float, nonc: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
     def noncentral_chisquare(
-        self, /, df: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, df: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def noncentral_chisquare(
-        self, /, df: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, df: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def standard_normal(self, /, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def standard_normal(self, /, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def standard_normal(self, /, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def normal(self, /, loc: float = 0.0, scale: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def normal(
-        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def normal(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def normal(
-        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, loc: _nt.CoFloating_nd = 0.0, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -347,15 +347,15 @@ class RandomState:
     def lognormal(self, /, mean: float = 0.0, sigma: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def lognormal(
-        self, /, mean: _nt.CoFloating_nd, sigma: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, mean: _nt.CoFloating_nd, sigma: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def lognormal(
-        self, /, mean: _nt.CoFloating_nd = 0.0, sigma: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, mean: _nt.CoFloating_nd = 0.0, sigma: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def lognormal(
-        self, /, mean: _nt.CoFloating_nd = 0.0, sigma: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, mean: _nt.CoFloating_nd = 0.0, sigma: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -363,35 +363,35 @@ class RandomState:
     def vonmises(self, /, mu: float, kappa: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
     def vonmises(
-        self, /, mu: _nt.CoFloating_nd, kappa: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, mu: _nt.CoFloating_nd, kappa: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def vonmises(
-        self, /, mu: _nt.CoFloating_nd, kappa: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, mu: _nt.CoFloating_nd, kappa: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def standard_cauchy(self, /, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def standard_cauchy(self, /, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def standard_cauchy(self, /, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def standard_t(self, /, df: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def standard_t(self, /, df: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def standard_t(self, /, df: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
-    def standard_t(self, /, df: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
+    def standard_t(self, /, df: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def standard_gamma(self, /, shape: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def standard_gamma(self, /, shape: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def standard_gamma(self, /, shape: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def standard_gamma(
-        self, /, shape: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, shape: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -399,25 +399,25 @@ class RandomState:
     def gamma(self, /, shape: float, scale: float = 1.0, size: None = None) -> float: ...
     @overload  # size: (int, ...)  (positional)
     def gamma(
-        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # size: (int, ...)  (keyword)
     def gamma(
-        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike
+        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def gamma(
-        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None
+        self, /, shape: _nt.CoFloating_nd, scale: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def f(self, /, dfnum: float, dfden: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def f(self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def f(self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def f(
-        self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     #
@@ -425,7 +425,7 @@ class RandomState:
     def noncentral_f(self, /, dfnum: float, dfden: float, nonc: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
     def noncentral_f(
-        self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, dfnum: _nt.CoFloating_nd, dfden: _nt.CoFloating_nd, nonc: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def noncentral_f(
@@ -434,17 +434,17 @@ class RandomState:
         dfnum: _nt.CoFloating_nd,
         dfden: _nt.CoFloating_nd,
         nonc: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
     ) -> float | _nt.Array[np.float64]: ...
 
     #
     @overload  # size: None  (default)
     def wald(self, /, mean: float, scale: float, size: None = None) -> float: ...
     @overload  # size: (int, ...)
-    def wald(self, /, mean: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.float64]: ...
+    def wald(self, /, mean: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.float64]: ...
     @overload  # fallback
     def wald(
-        self, /, mean: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, mean: _nt.CoFloating_nd, scale: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> float | _nt.Array[np.float64]: ...
 
     ###
@@ -454,22 +454,22 @@ class RandomState:
     @overload
     def tomaxint(self, /, size: None = None) -> int: ...
     @overload  # Generates long values, but stores it in a 64bit int
-    def tomaxint(self, /, size: _ShapeLike) -> _nt.Array[np.int64]: ...
+    def tomaxint(self, /, size: _nt.ShapeLike) -> _nt.Array[np.int64]: ...
 
     #
     @overload  # size: None  (default)
     def random_integers(self, /, low: int, high: int | None = None, size: None = None) -> int: ...
     @overload  # size: (int, ...)  (positional)
     def random_integers(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None, size: _ShapeLike
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None, size: _nt.ShapeLike
     ) -> _nt.Array[np.int_]: ...
     @overload  # size: (int, ...)  (keyword)
     def random_integers(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None = None, *, size: _ShapeLike
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None = None, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.int_]: ...
     @overload  # fallback
     def random_integers(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None = None, size: _ShapeLike | None = None
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None = None, size: _nt.ShapeLike | None = None
     ) -> int | _nt.Array[np.int_]: ...
 
     #
@@ -517,51 +517,51 @@ class RandomState:
     def randint(
         self, /, low: int, high: int | None = None, size: None = None, *, dtype: _nt.ToDTypeUInt64
     ) -> np.uint64: ...
-    @overload  # size: _ShapeLike (positional)
-    def randint(self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike) -> _nt.Array[np.int_]: ...
+    @overload  # size: _nt.ShapeLike (positional)
+    def randint(self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike) -> _nt.Array[np.int_]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeBool
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeBool
     ) -> _nt.Array[np.bool]: ...
     @overload
     def randint(  # type: ignore[overload-overlap]
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _DTypeLike[_IntegerT]
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _DTypeLike[_IntegerT]
     ) -> _nt.Array[_IntegerT]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeInt8
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeInt8
     ) -> _nt.Array[np.int8]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeUInt8
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeUInt8
     ) -> _nt.Array[np.uint8]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeInt16
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeInt16
     ) -> _nt.Array[np.int16]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeUInt16
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeUInt16
     ) -> _nt.Array[np.uint16]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeInt32
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeInt32
     ) -> _nt.Array[np.int32]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeUInt32
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeUInt32
     ) -> _nt.Array[np.uint32]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeInt64
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeInt64
     ) -> _nt.Array[np.int64]: ...
     @overload
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt.ToDTypeUInt64
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ShapeLike, dtype: _nt.ToDTypeUInt64
     ) -> _nt.Array[np.uint64]: ...
-    @overload  # size: _ShapeLike (keyword)
+    @overload  # size: _nt.ShapeLike (keyword)
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None = None, *, size: _ShapeLike
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None = None, *, size: _nt.ShapeLike
     ) -> _nt.Array[np.int_]: ...
     @overload
     def randint(
@@ -570,7 +570,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeBool,
     ) -> _nt.Array[np.bool]: ...
     @overload
@@ -580,7 +580,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _DTypeLike[_IntegerT],
     ) -> _nt.Array[_IntegerT]: ...
     @overload
@@ -590,7 +590,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt8,
     ) -> _nt.Array[np.int8]: ...
     @overload
@@ -600,7 +600,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt8,
     ) -> _nt.Array[np.uint8]: ...
     @overload
@@ -610,7 +610,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt16,
     ) -> _nt.Array[np.int16]: ...
     @overload
@@ -620,7 +620,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt16,
     ) -> _nt.Array[np.uint16]: ...
     @overload
@@ -630,7 +630,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt32,
     ) -> _nt.Array[np.int32]: ...
     @overload
@@ -640,7 +640,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt32,
     ) -> _nt.Array[np.uint32]: ...
     @overload
@@ -650,7 +650,7 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeInt64,
     ) -> _nt.Array[np.int64]: ...
     @overload
@@ -660,12 +660,12 @@ class RandomState:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
         *,
-        size: _ShapeLike,
+        size: _nt.ShapeLike,
         dtype: _nt.ToDTypeUInt64,
     ) -> _nt.Array[np.uint64]: ...
     @overload  # fallback
     def randint(
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None = None, size: _ShapeLike | None = None
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd | None = None, size: _nt.ShapeLike | None = None
     ) -> int | _nt.Array[np.int_]: ...
     @overload
     def randint(
@@ -673,7 +673,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: type[bool],
     ) -> bool | _nt.Array[np.bool]: ...
@@ -683,7 +683,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _DTypeLike[_IntegerT],
     ) -> _IntegerT | _nt.Array[_IntegerT]: ...
@@ -693,7 +693,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _BoolCodes,
     ) -> np.bool | _nt.Array[np.bool]: ...
@@ -703,7 +703,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeInt8,
     ) -> np.int8 | _nt.Array[np.int8]: ...
@@ -713,7 +713,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeUInt8,
     ) -> np.uint8 | _nt.Array[np.uint8]: ...
@@ -723,7 +723,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeInt16,
     ) -> np.int16 | _nt.Array[np.int16]: ...
@@ -733,7 +733,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeUInt16,
     ) -> np.uint16 | _nt.Array[np.uint16]: ...
@@ -743,7 +743,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeInt32,
     ) -> np.int32 | _nt.Array[np.int32]: ...
@@ -753,7 +753,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeUInt32,
     ) -> np.uint32 | _nt.Array[np.uint32]: ...
@@ -763,7 +763,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeInt64,
     ) -> int | np.int64 | _nt.Array[np.int64]: ...
@@ -773,7 +773,7 @@ class RandomState:
         /,
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd | None = None,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         *,
         dtype: _nt.ToDTypeUInt64,
     ) -> np.uint64 | _nt.Array[np.uint64]: ...
@@ -782,10 +782,10 @@ class RandomState:
     @overload  # size: None  (default)
     def binomial(self, /, n: int, p: float, size: None = None) -> int: ...
     @overload  # size: (int, ...)
-    def binomial(self, /, n: _nt.CoInteger_nd, p: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int_]: ...
+    def binomial(self, /, n: _nt.CoInteger_nd, p: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int_]: ...
     @overload  # fallback
     def binomial(
-        self, /, n: _nt.CoInteger_nd, p: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, n: _nt.CoInteger_nd, p: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> int | _nt.Array[np.int_]: ...
 
     #
@@ -793,45 +793,45 @@ class RandomState:
     def negative_binomial(self, /, n: float, p: float, size: None = None) -> int: ...
     @overload  # size: (int, ...)
     def negative_binomial(
-        self, /, n: _nt.CoFloating_nd, p: _nt.CoFloating_nd, size: _ShapeLike
+        self, /, n: _nt.CoFloating_nd, p: _nt.CoFloating_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.int_]: ...
     @overload  # fallback
     def negative_binomial(
-        self, /, n: _nt.CoFloating_nd, p: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, n: _nt.CoFloating_nd, p: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> int | _nt.Array[np.int_]: ...
 
     #
     @overload  # size: None  (default)
     def poisson(self, /, lam: float = 1.0, size: None = None) -> int: ...
     @overload  # size: (int, ...)  (positional)
-    def poisson(self, /, lam: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int_]: ...
+    def poisson(self, /, lam: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int_]: ...
     @overload  # size: (int, ...)  (keyword)
-    def poisson(self, /, lam: _nt.CoFloating_nd = 1.0, *, size: _ShapeLike) -> _nt.Array[np.int_]: ...
+    def poisson(self, /, lam: _nt.CoFloating_nd = 1.0, *, size: _nt.ShapeLike) -> _nt.Array[np.int_]: ...
     @overload  # fallback
-    def poisson(self, /, lam: _nt.CoFloating_nd = 1.0, size: _ShapeLike | None = None) -> int | _nt.Array[np.int_]: ...
+    def poisson(self, /, lam: _nt.CoFloating_nd = 1.0, size: _nt.ShapeLike | None = None) -> int | _nt.Array[np.int_]: ...
 
     #
     @overload  # size: None  (default)
     def zipf(self, /, a: float, size: None = None) -> int: ...
     @overload  # size: (int, ...)
-    def zipf(self, /, a: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int_]: ...
+    def zipf(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int_]: ...
     @overload  # fallback
-    def zipf(self, /, a: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> int | _nt.Array[np.int_]: ...
+    def zipf(self, /, a: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> int | _nt.Array[np.int_]: ...
 
     #
     @overload  # size: None  (default)
     def geometric(self, /, p: float, size: None = None) -> int: ...
     @overload  # size: (int, ...)
-    def geometric(self, /, p: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int_]: ...
+    def geometric(self, /, p: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int_]: ...
     @overload  # fallback
-    def geometric(self, /, p: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> int | _nt.Array[np.int_]: ...
+    def geometric(self, /, p: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> int | _nt.Array[np.int_]: ...
 
     #
     @overload  # size: None  (default)
     def hypergeometric(self, /, ngood: int, nbad: int, nsample: int, size: None = None) -> int: ...
     @overload  # size: (int, ...)
     def hypergeometric(
-        self, /, ngood: _nt.CoInteger_nd, nbad: _nt.CoInteger_nd, nsample: _nt.CoInteger_nd, size: _ShapeLike
+        self, /, ngood: _nt.CoInteger_nd, nbad: _nt.CoInteger_nd, nsample: _nt.CoInteger_nd, size: _nt.ShapeLike
     ) -> _nt.Array[np.int_]: ...
     @overload  # fallback
     def hypergeometric(
@@ -840,16 +840,16 @@ class RandomState:
         ngood: _nt.CoInteger_nd,
         nbad: _nt.CoInteger_nd,
         nsample: _nt.CoInteger_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
     ) -> int | _nt.Array[np.int_]: ...
 
     #
     @overload  # size: None  (default)
     def logseries(self, /, p: float, size: None = None) -> int: ...
     @overload  # size: (int, ...)
-    def logseries(self, /, p: _nt.CoFloating_nd, size: _ShapeLike) -> _nt.Array[np.int_]: ...
+    def logseries(self, /, p: _nt.CoFloating_nd, size: _nt.ShapeLike) -> _nt.Array[np.int_]: ...
     @overload  # fallback
-    def logseries(self, /, p: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> int | _nt.Array[np.int_]: ...
+    def logseries(self, /, p: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> int | _nt.Array[np.int_]: ...
 
     ###
     # multivariate
@@ -860,17 +860,17 @@ class RandomState:
         /,
         mean: _nt.CoFloating_nd,
         cov: _nt.CoFloating_nd,
-        size: _ShapeLike | None = None,
+        size: _nt.ShapeLike | None = None,
         check_valid: Literal["warn", "raise", "ignore"] = "warn",
         tol: float = 1e-8,
     ) -> _nt.Array[np.float64]: ...
 
     #
-    def dirichlet(self, /, alpha: _nt.CoFloating_nd, size: _ShapeLike | None = None) -> _nt.Array[np.float64]: ...
+    def dirichlet(self, /, alpha: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None) -> _nt.Array[np.float64]: ...
 
     #
     def multinomial(
-        self, /, n: _nt.CoInteger_nd, pvals: _nt.CoFloating_nd, size: _ShapeLike | None = None
+        self, /, n: _nt.CoInteger_nd, pvals: _nt.CoFloating_nd, size: _nt.ShapeLike | None = None
     ) -> _nt.Array[np.int_]: ...
 
 ###