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Enable third party tests
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dpnp/tests/third_party/cupy/manipulation_tests/test_add_remove.py

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@@ -1,9 +1,7 @@
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import unittest
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import numpy
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import pytest
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import dpnp as cupy
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from dpnp.tests.helper import has_support_aspect64
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from dpnp.tests.third_party.cupy import testing
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from dpnp.tests.third_party.cupy.testing._loops import (
@@ -316,7 +314,6 @@ def test_unique_equal_nan(self, xp, dtype, equal_nan):
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)
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return xp.unique(a, axis=1, equal_nan=equal_nan)
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@pytest.mark.skip("unique_all() is not supported yet")
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@testing.with_requires("numpy>=2.0")
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@pytest.mark.parametrize(
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"attr", ["values", "indices", "inverse_indices", "counts"]
@@ -327,7 +324,6 @@ def test_unique_all(self, xp, dtype, attr):
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a = testing.shaped_random((100, 100), xp, dtype)
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return getattr(xp.unique_all(a), attr)
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@pytest.mark.skip("unique_counts() is not supported yet")
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@testing.with_requires("numpy>=2.0")
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@pytest.mark.parametrize("attr", ["values", "counts"])
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@testing.for_all_dtypes(no_float16=True, no_bool=True, no_complex=True)
@@ -336,7 +332,6 @@ def test_unique_counts(self, xp, dtype, attr):
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a = testing.shaped_random((100, 100), xp, dtype)
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return getattr(xp.unique_counts(a), attr)
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@pytest.mark.skip("unique_inverse() is not supported yet")
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@testing.with_requires("numpy>=2.0")
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@pytest.mark.parametrize("attr", ["values", "inverse_indices"])
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@testing.for_all_dtypes(no_float16=True, no_bool=True, no_complex=True)
@@ -345,7 +340,6 @@ def test_unique_inverse(self, xp, dtype, attr):
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a = testing.shaped_random((100, 100), xp, dtype)
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return getattr(xp.unique_inverse(a), attr)
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@pytest.mark.skip("unique_values() is not supported yet")
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@testing.with_requires("numpy>=2.0")
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@testing.for_all_dtypes(no_float16=True, no_bool=True, no_complex=True)
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@testing.numpy_cupy_array_equal()

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