chore: support Numeric with bool in type hints

fix unstack type hints and improve CastNumpy2Scalar's error message

Author: ooooo-create

paddle/fluid/pybind/eager_utils.cc

@@ -2040,7 +2040,7 @@ paddle::experimental::Scalar CastNumpy2Scalar(PyObject* obj,
   } else {
     PADDLE_THROW(common::errors::InvalidArgument(
         "%s(): argument (position %d) must be "
-        "numpy.float32/float64, numpy.int32/int64, numpy.complex64/complex128, "
+        "numpy.float16/float32/float64, numpy.int32/int64, numpy.complex64/complex128, "
         "but got %s",
         op_type,
         arg_pos + 1,

python/paddle/_typing/basic.py

@@ -33,7 +33,7 @@
     from paddle.regularizer import WeightDecayRegularizer
 
 
-Numeric: TypeAlias = Union[int, float, complex, np.number, "Tensor"]
+Numeric: TypeAlias = Union[int, float, bool, complex, np.number, "Tensor"]
 TensorLike: TypeAlias = Union[npt.NDArray[Any], "Tensor", Numeric]
 _TensorIndexItem: TypeAlias = Union[
     None, bool, int, slice, "Tensor", EllipsisType

python/paddle/tensor/manipulation.py

@@ -629,7 +629,7 @@ def transpose(
         return out
 
 
-def unstack(x: Tensor, axis: int = 0, num: int | None = None) -> Tensor:
+def unstack(x: Tensor, axis: int = 0, num: int | None = None) -> list[Tensor]:
     """
     This layer unstacks input Tensor :code:`x` into several Tensors along :code:`axis`.