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BUG: fix array_namespace for NumPy scalars #165

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Merged
merged 1 commit into from
Jul 29, 2024
Merged

BUG: fix array_namespace for NumPy scalars #165

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4 changes: 2 additions & 2 deletions array_api_compat/common/_helpers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -342,8 +342,8 @@ def your_function(x, y):
else:
# numpy 2.0 has __array_namespace__ and is fully array API
# compatible.
if hasattr(x, '__array_namespace__'):
namespaces.add(x.__array_namespace__(api_version=api_version))
if hasattr(np.empty(0), '__array_namespace__'):
namespaces.add(np.empty(0).__array_namespace__(api_version=api_version))
else:
namespaces.add(numpy_namespace)
elif is_cupy_array(x):
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7 changes: 7 additions & 0 deletions tests/test_array_namespace.py
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Expand Up @@ -36,6 +36,13 @@ def test_array_namespace(library, api_version, use_compat):
else:
assert namespace == getattr(array_api_compat, library)

if library == "numpy":
# check that the same namespace is returned for NumPy scalars
scalar_namespace = array_api_compat.array_namespace(
xp.float64(0.0), api_version=api_version, use_compat=use_compat
)
assert scalar_namespace == namespace

# Check that array_namespace works even if jax.experimental.array_api
# hasn't been imported yet (it monkeypatches __array_namespace__
# onto JAX arrays, but we should support them regardless). The only way to
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