🚨 ignore pyright 1.1.394 false positive reportOverlappingOverload e…

…rrors
scipy · Feb 13, 2025 · a895f0a · a895f0a
1 parent 3f4a554
commit a895f0a
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Showing 2 changed files with 18 additions and 18 deletions.
diff --git a/scipy-stubs/special/_ufuncs.pyi b/scipy-stubs/special/_ufuncs.pyi
@@ -781,7 +781,7 @@ class _UFunc11f(_UFunc11[_NameT_co, _IdentityT_co], Generic[_NameT_co, _Identity
     @overload
     def __call__(self, x: _ToSubFloat, /, out: _Out1 = None, **kw: Unpack[_KwBase]) -> _Float64: ...
     @overload
-    def __call__(self, x: _ToSubFloat, /, out: _Out1 = None, **kw: Unpack[_Kw11f]) -> _Float: ...
+    def __call__(self, x: _ToSubFloat, /, out: _Out1 = None, **kw: Unpack[_Kw11f]) -> _Float: ...  # pyright: ignore[reportOverlappingOverload]
     @overload
     def __call__(self, x: _ToSubFloatND, /, out: _Out1 = None, **kw: Unpack[_KwBase]) -> _Float64ND: ...
     @overload
@@ -807,7 +807,7 @@ class _UFunc11g(_UFunc11[_NameT_co, _IdentityT_co], Generic[_NameT_co, _Identity
     @overload
     def __call__(self, x: _ToSubFloat, /, out: _Out1 = None, **kw: Unpack[_KwBase]) -> _Float64: ...
     @overload
-    def __call__(self, x: _ToSubFloat, /, out: _Out1 = None, **kw: Unpack[_Kw11g]) -> _LFloat: ...
+    def __call__(self, x: _ToSubFloat, /, out: _Out1 = None, **kw: Unpack[_Kw11g]) -> _LFloat: ...  # pyright: ignore[reportOverlappingOverload]
     @overload
     def __call__(self, x: _ToSubFloatND, /, out: _Out1 = None, **kw: Unpack[_KwBase]) -> _Float64ND: ...
     @overload

diff --git a/scipy-stubs/stats/_new_distributions.pyi b/scipy-stubs/stats/_new_distributions.pyi
@@ -50,9 +50,9 @@ class Normal(ContinuousDistribution[_FloatT_co, _ShapeT_co], Generic[_ShapeT_co,
 
     #
     @overload  # default
-    def __init__(self: Normal[tuple[()], np.float64], /, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_0D, np.float64], /, **kw: Unpack[_DistOpts]) -> None: ...
     @overload  # mu: N-d <known shape, dtype>
-    def __init__(
+    def __init__(  # pyright: ignore[reportOverlappingOverload]
         self: Normal[_ShapeT, _FloatT],
         /,
         *,
@@ -61,7 +61,7 @@ class Normal(ContinuousDistribution[_FloatT_co, _ShapeT_co], Generic[_ShapeT_co,
         **kw: Unpack[_DistOpts],
     ) -> None: ...
     @overload  # sigma: N-d <known shape, dtype>
-    def __init__(
+    def __init__(  # pyright: ignore[reportOverlappingOverload]
         self: Normal[_ShapeT, _FloatT],
         /,
         *,
@@ -70,29 +70,29 @@ class Normal(ContinuousDistribution[_FloatT_co, _ShapeT_co], Generic[_ShapeT_co,
         **kw: Unpack[_DistOpts],
     ) -> None: ...
     @overload  # mu, sigma: 0-d float
-    def __init__(self: Normal[_0D, np.float64], /, *, mu: float, sigma: float | onp.ToInt, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_0D, np.float64], /, *, mu: float, sigma: float | onp.ToInt, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # mu, sigma: 0-d float
-    def __init__(self: Normal[_0D, np.float64], /, *, mu: float | onp.ToInt, sigma: float, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_0D, np.float64], /, *, mu: float | onp.ToInt, sigma: float, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # mu: 0-d <known dtype>, sigma: 0-d
-    def __init__(self: Normal[_0D, _FloatT], /, *, mu: _FloatT, sigma: _FloatT | onp.ToInt, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_0D, _FloatT], /, *, mu: _FloatT, sigma: _FloatT | onp.ToInt, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # a, sigma: 0-d <known dtype>
-    def __init__(self: Normal[_0D, _FloatT], /, *, mu: _FloatT | onp.ToInt, sigma: _FloatT, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_0D, _FloatT], /, *, mu: _FloatT | onp.ToInt, sigma: _FloatT, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # a, sigma: 0-d
-    def __init__(self: Normal[_0D], /, *, mu: onp.ToFloat = 0.0, sigma: onp.ToFloat = 1.0, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_0D], /, *, mu: onp.ToFloat = 0.0, sigma: onp.ToFloat = 1.0, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # mu: 1-d
-    def __init__(self: Normal[_1D], /, *, mu: onp.ToFloatStrict1D, sigma: _ToFloat_1D = 1.0, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_1D], /, *, mu: onp.ToFloatStrict1D, sigma: _ToFloat_1D = 1.0, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # sigma: 1-d
-    def __init__(self: Normal[_1D], /, *, mu: _ToFloat_1D = 0.0, sigma: onp.ToFloatStrict1D, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_1D], /, *, mu: _ToFloat_1D = 0.0, sigma: onp.ToFloatStrict1D, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # mu: 2-d
-    def __init__(self: Normal[_2D], /, *, mu: onp.ToFloatStrict2D, sigma: _ToFloat_2D = 1.0, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_2D], /, *, mu: onp.ToFloatStrict2D, sigma: _ToFloat_2D = 1.0, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # sigma: 2-d
-    def __init__(self: Normal[_2D], /, *, mu: _ToFloat_2D = 0.0, sigma: onp.ToFloatStrict2D, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_2D], /, *, mu: _ToFloat_2D = 0.0, sigma: onp.ToFloatStrict2D, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # mu: 3-d
-    def __init__(self: Normal[_2D], /, *, mu: onp.ToFloatStrict3D, sigma: _ToFloat_3D = 1.0, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_2D], /, *, mu: onp.ToFloatStrict3D, sigma: _ToFloat_3D = 1.0, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # sigma: 3-d
-    def __init__(self: Normal[_3D], /, *, mu: _ToFloat_3D = 0.0, sigma: onp.ToFloatStrict3D, **kw: Unpack[_DistOpts]) -> None: ...
+    def __init__(self: Normal[_3D], /, *, mu: _ToFloat_3D = 0.0, sigma: onp.ToFloatStrict3D, **kw: Unpack[_DistOpts]) -> None: ...  # pyright: ignore[reportOverlappingOverload]
     @overload  # mu: >=1-d
-    def __init__(
+    def __init__(  # pyright: ignore[reportOverlappingOverload]
         self: Normal[onp.AtLeast1D],
         /,
         *,
@@ -101,7 +101,7 @@ class Normal(ContinuousDistribution[_FloatT_co, _ShapeT_co], Generic[_ShapeT_co,
         **kw: Unpack[_DistOpts],
     ) -> None: ...
     @overload  # sigma: >=1-d
-    def __init__(
+    def __init__(  # pyright: ignore[reportOverlappingOverload]
         self: Normal[onp.AtLeast1D],
         /,
         *,