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Copy file name to clipboardExpand all lines: CHANGELOG.md
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@@ -32,6 +32,9 @@ This release is compatible with NumPy 2.5.
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* Improved performance of `dpnp.fft` functions for complex strided input by avoiding oversized allocations and extra copies [#2939](https://github.com/IntelPython/dpnp/pull/2939)
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* Refreshed `dpnp` documentation styling with the Furo theme [#2934](https://github.com/IntelPython/dpnp/pull/2934)
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* Updated Python Array API specification version supported to `2025.12`[#2899](https://github.com/IntelPython/dpnp/pull/2899)
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* Replaced references to the `dpnp.amax`/`dpnp.amin` aliases with the canonical `dpnp.max`/`dpnp.min` in docstrings and code internally [#2990](https://github.com/IntelPython/dpnp/pull/2990)
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* Aligned the signature of `dpnp.tensor.expand_dims` with the Python array API by making `axis` a required argument [#2988](https://github.com/IntelPython/dpnp/pull/2988)
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* Removed dead code branches guarded by outdated oneMKL and DPC++ compiler version checks [#2999](https://github.com/IntelPython/dpnp/pull/2999)
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### Deprecated
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@@ -41,6 +44,7 @@ This release is compatible with NumPy 2.5.
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* Removed support for arrays of 2-dimensional vectors in `dpnp.cross`, which now requires (arrays of) 3-dimensional vectors and raises `ValueError` otherwise [#2950](https://github.com/IntelPython/dpnp/pull/2950)
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* Removed `dpnp.row_stack` in favor of `dpnp.vstack`[#2956](https://github.com/IntelPython/dpnp/pull/2956)
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* Removed all references to the unimplemented `dpnp.ndarray.resize` method from the documentation [#2989](https://github.com/IntelPython/dpnp/pull/2989)
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### Fixed
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@@ -59,8 +63,11 @@ This release is compatible with NumPy 2.5.
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* Fixed `dpnp.mgrid` and `dpnp.ogrid` to return consistent results between single-slice and tuple-of-slices syntax when the step is a complex number with a non-integer magnitude (e.g. `2.5j`) [#2971](https://github.com/IntelPython/dpnp/pull/2971)
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* Fixed `icx`/`icpx` warning during `conda build` by stripping the GCC-only `-fno-merge-constants` flag injected by conda-forge into `CFLAGS`/`CXXFLAGS`[#2978](https://github.com/IntelPython/dpnp/pull/2978)
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* Fixed `dpnp.asnumpy` and `dpnp.ndarray.asnumpy` ignoring the `order` keyword, which caused a non-contiguous source array to be returned with a non-contiguous layout even when `order="C"` was requested [#2980](https://github.com/IntelPython/dpnp/pull/2980)
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* Fixed a flood of deprecation warnings from the DPC++/SYCL headers when building `dpnp.tensor` on Windows [#2984](https://github.com/IntelPython/dpnp/pull/2984)
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* Fixed `dpnp.tensor.acosh` and `dpnp.tensor.acos` returning infinity for complex numbers with large negative real parts [#2928](https://github.com/IntelPython/dpnp/pull/2928)
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* Fixed `dpnp.interp` returning `nan` when querying at an exact knot point whose adjacent `fp` value is `inf`[#2985](https://github.com/IntelPython/dpnp/pull/2985)
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* Fixed `__array_namespace_info__().devices()` and `.default_device()` to return Python array API compatible device objects [#2979](https://github.com/IntelPython/dpnp/pull/2979)
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* Fixed `dpnp.interp` with an empty input array `x` to return an empty array with the correct dtype [#2985](https://github.com/IntelPython/dpnp/pull/2985)
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* Fixed `dpnp.interp` returning `nan` when querying at an exact knot point whose adjacent `fp` value is `inf`[#2986](https://github.com/IntelPython/dpnp/pull/2986)
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