🚚 port type masked array shape, dtype,__int__, and __float__ (#472)

Co-authored-by: Marco Edward Gorelli <33491632+marcogorelli@users.noreply.github.com>
Co-authored-by: Joren Hammudoglu <jhammudoglu@gmail.com>

Author: 3 people

src/numpy-stubs/@test/static/accept/ma.pyi

@@ -0,0 +1,12 @@
+from typing_extensions import assert_type
+
+import numpy as np
+
+m: np.ma.MaskedArray[tuple[int], np.dtype[np.float64]]
+
+assert_type(m.shape, tuple[int])
+
+assert_type(m.dtype, np.dtype[np.float64])
+
+assert_type(int(m), int)
+assert_type(float(m), float)

src/numpy-stubs/@test/static/reject/ma.pyi

@@ -0,0 +1,6 @@
+import numpy as np
+
+m: np.ma.MaskedArray[tuple[int], np.dtype[np.float64]]
+
+m.shape = (3, 1)  # type: ignore[assignment]
+m.dtype = np.bool  # type: ignore[assignment]  # pyright: ignore[reportAttributeAccessIssue]

src/numpy-stubs/ma/core.pyi

@@ -466,12 +466,6 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     @override
     def __ipow__(self, other: Incomplete, /) -> Self: ...  # type: ignore[override]
 
-    #
-    @override
-    def __int__(self) -> int: ...
-    @override
-    def __float__(self) -> float: ...
-
     #
     @override
     def __reduce__(self) -> Incomplete: ...