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Resolve tests failures with elementwise functions towards numpy 2.0 #2590

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merged 2 commits into from
Sep 24, 2025
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Resolve tests failures with elementwise functions towards numpy 2.0 #2590

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56f7f6e
Resolve tests failures with elementwise functions towards numpy 2.0
antonwolfy Sep 24, 2025
93b1a3c
Add PR to the changelog
antonwolfy Sep 24, 2025
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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -64,6 +64,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
* Resolved the issue in `dpnp.random` functions to allow any value of `size` where each element is castable to `Py_ssize_t` type [#2578](https://github.com/IntelPython/dpnp/pull/2578)
* Resolved `conda build --test` issue in python 3.9 environment [#2583](https://github.com/IntelPython/dpnp/pull/2583)
* Fixed tests for the rounding functions to depend on minimum required numpy version [#2589](https://github.com/IntelPython/dpnp/pull/2589)
* Fixed tests for the ufuncs to depend on minimum required numpy version [#2590](https://github.com/IntelPython/dpnp/pull/2590)

### Security

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1 change: 1 addition & 0 deletions dpnp/tests/test_mathematical.py
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Expand Up @@ -1992,6 +1992,7 @@ def test_discont(self, dt):
assert result.dtype == ia.dtype == a.dtype


@testing.with_requires("numpy>=2.1.0")
@pytest.mark.usefixtures("suppress_divide_invalid_numpy_warnings")
@pytest.mark.parametrize("val_type", [bool, int, float])
@pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True))
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4 changes: 3 additions & 1 deletion dpnp/tests/third_party/cupy/math_tests/test_arithmetic.py
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Expand Up @@ -367,6 +367,7 @@ def check_binary(self, xp):
return y


@testing.with_requires("numpy>=2.1.0")
@testing.parameterize(
*(
testing.product(
Expand Down Expand Up @@ -409,6 +410,7 @@ def test_binary(self):
self.check_binary()


@testing.with_requires("numpy>=2.1.0")
@testing.parameterize(
*(
testing.product(
Expand Down Expand Up @@ -487,7 +489,7 @@ def test_binary(self):
self.check_binary()


@testing.with_requires("numpy>=2.0")
@testing.with_requires("numpy>=2.1.0")
class TestArithmeticBinary3(ArithmeticBinaryBase):

@pytest.mark.parametrize(
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