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Clarify support for negative axes in dpnp.transpose/permute_dims docs #2940

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Clarify support for negative axes in dpnp.transpose/permute_dims docs #2940

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550531c
Mention negative axis support in transpose/permute_dims docs
vlad-perevezentsev Jun 4, 2026
ff88437
Update changelog
vlad-perevezentsev Jun 4, 2026
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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -21,6 +21,7 @@ This release is compatible with NumPy 2.4.5.
* Updated tests to align with NumPy 2.4.5 compatibility [gh-2920](https://github.com/IntelPython/dpnp/pull/2920)
* Replaced `.pxi` includes in `dpnp.tensor` with modular `.pxd`/`.pyx` Cython imports [#2913](https://github.com/IntelPython/dpnp/pull/2913)
* Reimplemented `dpnp.eye` and `dpnp.tensor.eye` with a branchless kernel [gh-2937](https://github.com/IntelPython/dpnp/pull/2937)
* Clarified support for negative axes in `dpnp.transpose`/`dpnp.permute_dims` documentation [#2940](https://github.com/IntelPython/dpnp/pull/2940)

### Deprecated

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1 change: 1 addition & 0 deletions dpnp/dpnp_iface_manipulation.py
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Expand Up @@ -3908,6 +3908,7 @@ def transpose(a, axes=None):
axes : {None, tuple or list of ints}, optional
If specified, it must be a tuple or list which contains a permutation
of [0, 1, ..., N-1] where N is the number of axes of `a`.
Negative indices can also be used to specify axes.
The `i`'th axis of the returned array will correspond to the axis
numbered ``axes[i]`` of the input. If not specified or ``None``,
defaults to ``range(a.ndim)[::-1]``, which reverses the order of
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