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this implementation for the default when working with NumPy arrays.
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"""
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- __version__ = '1.10.0 .dev0'
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+ __version__ = '1.10.1 .dev0'
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from .common import * # noqa: F401, F403
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array_api_tests/test_fft.py::test_fftn
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array_api_tests/test_fft.py::test_ifftn
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array_api_tests/test_fft.py::test_rfftn
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+ # observed in the 1.10 release process, is likely related to xfails above
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+ array_api_tests/test_fft.py::test_irfftn
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# 2023.12 support
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# cupy.ndaray cannot be specified as `repeats` argument.
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# Changelog
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+ ## 1.10.0 (2024-12-25)
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+
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+ ### Major Changes
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+
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+ - New function ` is_writeable_array ` adds transparent support for readonly
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+ arrays, such as JAX arrays or numpy arrays with ` .flags.writeable=False ` .
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+
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+ - ` asarray(..., copy=None) ` with ` dask ` backend always copies, so that
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+ ` copy=None ` and ` copy=True ` are equivalent for the ` dask ` backend.
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+ This change is made to be forward compatible with the ` dask==2024.12 `
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+ release.
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+
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+
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+ ### Minor Changes
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+
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+ - ` array_namespace ` accepts (and ignores) ` None ` and python scalars (int, float,
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+ complex, bool). This change is to simplify downstream adoption, for
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+ functions where arguments can be either arrays or scalars.
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+
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+ - ` vecdot ` conjugates its first argument, as stipulated by the Array API spec.
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+ Previously, conjation if the first argument was missing.
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+
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## 1.9.1 (2024-10-29)
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### Major Changes
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