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7 changes: 5 additions & 2 deletions array_api_compat/common/_helpers.py
Original file line number Diff line number Diff line change
Expand Up @@ -235,7 +235,8 @@ def array_namespace(*xs, api_version=None, use_compat=None):
Parameters
----------
xs: arrays
one or more arrays.
one or more arrays. xs can also be Python scalars (bool, int, float,
complex, or None), which are ignored.

api_version: str
The newest version of the spec that you need support for (currently
Expand Down Expand Up @@ -298,7 +299,9 @@ def your_function(x, y):

namespaces = set()
for x in xs:
if is_numpy_array(x):
if isinstance(x, (bool, int, float, complex, type(None))):
continue
elif is_numpy_array(x):
from .. import numpy as numpy_namespace
import numpy as np
if use_compat is True:
Expand Down
16 changes: 16 additions & 0 deletions tests/test_array_namespace.py
Original file line number Diff line number Diff line change
Expand Up @@ -92,3 +92,19 @@ def test_api_version():
def test_get_namespace():
# Backwards compatible wrapper
assert array_api_compat.get_namespace is array_api_compat.array_namespace

def test_python_scalars():
a = torch.asarray([1, 2])
xp = import_("torch", wrapper=True)

pytest.raises(TypeError, lambda: array_namespace(1))
pytest.raises(TypeError, lambda: array_namespace(1.0))
pytest.raises(TypeError, lambda: array_namespace(1j))
pytest.raises(TypeError, lambda: array_namespace(True))
pytest.raises(TypeError, lambda: array_namespace(None))

assert array_namespace(a, 1) == xp
assert array_namespace(a, 1.0) == xp
assert array_namespace(a, 1j) == xp
assert array_namespace(a, True) == xp
assert array_namespace(a, None) == xp