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Add nd-support to dpnp.trim_zeros #2241

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merged 6 commits into from
Dec 20, 2024
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@antonwolfy antonwolfy commented Dec 18, 2024

The PR extends dpnp.trim_zeros implement to align with changes introduced in NumPy 2.2.

It adds support for trimming nd-arrays while preserving the old behavior for 1-d input. The new parameter axis can specify a single dimension to be trimmed (reducing all other dimensions to the envelope of absolute values). By default (when None is specified), all dimensions are trimmed iteratively.

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@antonwolfy antonwolfy self-assigned this Dec 18, 2024
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github-actions bot commented Dec 18, 2024

View rendered docs @ https://intelpython.github.io/dpnp/index.html

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coveralls commented Dec 18, 2024

Coverage Status

coverage: 65.08% (+0.02%) from 65.06%
when pulling 97743b4 on nd-support-to-trim_zero
into fdde3d0 on master.

@antonwolfy antonwolfy marked this pull request as ready for review December 18, 2024 15:36
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Thank you, @antonwolfy!

@antonwolfy antonwolfy merged commit 94bea60 into master Dec 20, 2024
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@antonwolfy antonwolfy deleted the nd-support-to-trim_zero branch December 20, 2024 14:11
github-actions bot added a commit that referenced this pull request Dec 20, 2024
The PR extends `dpnp.trim_zeros` implement to align with changes
introduced in NumPy 2.2.

It adds support for trimming nd-arrays while preserving the old behavior
for 1-d input. The new parameter `axis` can specify a single dimension
to be trimmed (reducing all other dimensions to the envelope of absolute
values). By default (when `None` is specified), all dimensions are
trimmed iteratively. 94bea60
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3 participants