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12 changes: 12 additions & 0 deletions numpy/array_api/_array_object.py
Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,7 @@

if TYPE_CHECKING:
from ._typing import Any, PyCapsule, Device, Dtype
import numpy.typing as npt

import numpy as np

Expand Down Expand Up @@ -108,6 +109,17 @@ def __repr__(self: Array, /) -> str:
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
Expand Down
7 changes: 7 additions & 0 deletions numpy/array_api/tests/test_array_object.py
Original file line number Diff line number Diff line change
Expand Up @@ -315,3 +315,10 @@ def test_array_properties():
assert a.mT.shape == (1, 3, 2)
assert isinstance(b.mT, Array)
assert b.mT.shape == (3, 2)

def test___array__():
a = ones((2, 3), dtype=int16)
assert np.asarray(a) is a._array
b = np.asarray(a, dtype=np.float64)
assert np.all(np.equal(b, np.ones((2, 3), dtype=np.float64)))
assert b.dtype == np.float64