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Mute expecting runtime warning raised in tests #2792

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Merged
antonwolfy merged 4 commits into from
Mar 3, 2026
Merged

Mute expecting runtime warning raised in tests #2792

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03ce45b
Mute RuntimeWarning from tests/test_mathematical.py::TestSpacing::tes…
antonwolfy Mar 2, 2026
2f05824
Mute overflow warning from tests/test_special.py::TestConsistency::te…
antonwolfy Mar 2, 2026
5e22110
Avoid raising the warning in DLPack tests
antonwolfy Mar 2, 2026
ef81b3d
Merge branch 'master' into mute-warning-in-the-tests
antonwolfy Mar 2, 2026
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1 change: 1 addition & 0 deletions dpnp/tests/test_mathematical.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1733,6 +1733,7 @@ def test_nan_infs_complex(self):


class TestSpacing:
@pytest.mark.filterwarnings("ignore::RuntimeWarning")
@pytest.mark.parametrize("sign", [1, -1])
@pytest.mark.parametrize("dt", get_float_dtypes())
def test_basic(self, sign, dt):
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3 changes: 3 additions & 0 deletions dpnp/tests/test_special.py
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Expand Up @@ -94,6 +94,9 @@ def _check_variant_func(
# calling numpy testing func, because it's more verbose
assert_allclose(x.asnumpy(), y.asnumpy(), rtol=rtol, atol=atol)

@pytest.mark.usefixtures(
"suppress_overflow_encountered_in_cast_numpy_warnings"
)
def test_erfc(self, inverse):
self._check_variant_func(
inverse,
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4 changes: 2 additions & 2 deletions dpnp/tests/test_sycl_queue.py
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Expand Up @@ -1086,7 +1086,7 @@ def test_array_creation_from_dpctl(copy, device):
@pytest.mark.parametrize("arr_dtype", get_all_dtypes(no_float16=True))
@pytest.mark.parametrize("shape", [tuple(), (2,), (3, 0, 1), (2, 2, 2)])
def test_from_dlpack(arr_dtype, shape, device):
X = dpnp.empty(shape=shape, dtype=arr_dtype, device=device)
X = dpnp.ones(shape=shape, dtype=arr_dtype, device=device)
Y = dpnp.from_dlpack(X)
assert_array_equal(X, Y)
assert X.__dlpack_device__() == Y.__dlpack_device__()
Expand All @@ -1101,7 +1101,7 @@ def test_from_dlpack(arr_dtype, shape, device):
@pytest.mark.parametrize("device", valid_dev, ids=dev_ids)
@pytest.mark.parametrize("arr_dtype", get_all_dtypes(no_float16=True))
def test_from_dlpack_with_dpt(arr_dtype, device):
X = dpctl.tensor.empty((64,), dtype=arr_dtype, device=device)
X = dpt.ones((64,), dtype=arr_dtype, device=device)
Y = dpnp.from_dlpack(X)
assert_array_equal(X, Y)
assert isinstance(Y, dpnp.dpnp_array.dpnp_array)
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