Merge branch 'numpy:main' into armcompiler

1 files changed, 13 insertions, 1 deletions

diff --git a/numpy/array_api/_array_object.py b/numpy/array_api/_array_object.py
index 8794c5ea5..75baf34b0 100644
--- a/numpy/array_api/_array_object.py
+++ b/numpy/array_api/_array_object.py
@@ -33,6 +33,7 @@ from typing import TYPE_CHECKING, Optional, Tuple, Union, Any
 
 if TYPE_CHECKING:
     from ._typing import Any, PyCapsule, Device, Dtype
+    import numpy.typing as npt
 
 import numpy as np
 
@@ -108,6 +109,17 @@ class Array:
             mid = np.array2string(self._array, separator=', ', prefix=prefix, suffix=suffix)
         return prefix + mid + suffix
 
+    # This function is not required by the spec, but we implement it here for
+    # convenience so that np.asarray(np.array_api.Array) will work.
+    def __array__(self, dtype: None | np.dtype[Any] = None) -> npt.NDArray[Any]:
+        """
+        Warning: this method is NOT part of the array API spec. Implementers
+        of other libraries need not include it, and users should not assume it
+        will be present in other implementations.
+
+        """
+        return np.asarray(self._array, dtype=dtype)
+
     # These are various helper functions to make the array behavior match the
     # spec in places where it either deviates from or is more strict than
     # NumPy behavior
@@ -1072,4 +1084,4 @@ class Array:
         # https://data-apis.org/array-api/latest/API_specification/array_object.html#t
         if self.ndim != 2:
             raise ValueError("x.T requires x to have 2 dimensions. Use x.mT to transpose stacks of matrices and permute_dims() to permute dimensions.")
-        return self._array.T
+        return self.__class__._new(self._array.T)