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Apply the same temporary w/a to tests with dpnp.matvec
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dpnp/tests/test_product.py

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@@ -1443,6 +1443,9 @@ class TestMatvec:
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def setup_method(self):
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numpy.random.seed(42)
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@pytest.mark.skipif(
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is_win_platform() and not is_gpu_device(), reason="SAT-8073"
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)
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@pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True))
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@pytest.mark.parametrize(
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"shape1, shape2",

dpnp/tests/test_umath.py

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@@ -122,7 +122,7 @@ def test_umaths(test_cases):
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pytest.skip("dpnp.modf is not supported with dpnp.float16")
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elif is_cuda_device():
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pytest.skip("dpnp.modf is not supported on CUDA device")
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elif umath == "vecmat":
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elif umath in ["vecmat", "matvec"]:
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if is_win_platform() and not is_gpu_device():
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pytest.skip("SAT-8073")
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