🥅 np.poly* workarounds for Any shape overload bugs

Author: jorenham

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

@@ -89,10 +89,10 @@ assert_type(
 assert_type(np.polyfit(AR_u4, AR_c16, 1.0, cov=True), tuple[_nt.Array[np.complex128], _nt.Array[np.complex128]])
 
 assert_type(np.polyval(AR_b, AR_b), _nt.Array[np.bool])
-assert_type(np.polyval(AR_u4, AR_b), _nt.Array[np.unsignedinteger])
-assert_type(np.polyval(AR_i8, AR_i8), _nt.Array[np.signedinteger])
-assert_type(np.polyval(AR_f8, AR_i8), _nt.Array[np.floating])
-assert_type(np.polyval(AR_i8, AR_c16), _nt.Array[np.complexfloating])
+assert_type(np.polyval(AR_u4, AR_b), _nt.Array[np.uint32])
+assert_type(np.polyval(AR_i8, AR_i8), _nt.Array[np.int64])
+assert_type(np.polyval(AR_f8, AR_i8), _nt.Array[np.float64])
+assert_type(np.polyval(AR_i8, AR_c16), _nt.Array[np.complex128])
 assert_type(np.polyval(AR_O, AR_O), _nt.Array[np.object_])
 
 assert_type(np.polyadd(poly_obj, AR_i8), np.poly1d)  # type: ignore[assert-type]  # mypy fail

src/numpy-stubs/lib/_polynomial_impl.pyi

@@ -410,6 +410,18 @@ def polyfit(
 ) -> _Tuple_didd[_nt.Array[np.complex128]]: ...
 
 #
+@overload  # workaround for microsoft/pyright#10232
+def polyval(p: _nt.Casts[_ScalarT, _nt.NeitherShape], x: _nt._ToArray_nnd[_ScalarT]) -> _nt.Array[_ScalarT]: ...
+@overload  # workaround for microsoft/pyright#10232
+def polyval(
+    p: _nt.CastsWith[_ScalarT, _NumberT, _nt.NeitherShape], x: _nt._ToArray_nnd[_ScalarT]
+) -> _nt.Array[_NumberT]: ...
+@overload  # workaround for microsoft/pyright#10232
+def polyval(p: _nt._ToArray_nnd[_ScalarT], x: _nt.Casts[_ScalarT, _nt.NeitherShape]) -> _nt.Array[_ScalarT]: ...
+@overload  # workaround for microsoft/pyright#10232
+def polyval(
+    p: _nt._ToArray_nnd[_ScalarT], x: _nt.CastsWith[_ScalarT, _NumberT, _nt.NeitherShape]
+) -> _nt.Array[_NumberT]: ...
 @overload
 def polyval(p: _nt.ToBool_1d, x: _nt.ToBool_0d) -> np.bool: ...
 @overload