Add nd-support to dpnp.trim_zeros

[antonwolfy]

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.

• Have you provided a meaningful PR description?
• Have you added a test, reproducer or referred to issue with a reproducer?
• Have you tested your changes locally for CPU and GPU devices?
• Have you made sure that new changes do not introduce compiler warnings?
• Have you checked performance impact of proposed changes?
• If this PR is a work in progress, are you filing the PR as a draft?

[github-actions]

View rendered docs @ https://intelpython.github.io/dpnp/pull/2241/index.html

[coveralls]

coverage: 65.095% (+0.02%) from 65.074%
when pulling 21be8f4 on nd-support-to-trim_zero
into cabc0d7 on master.

[vtavana]

Thank you, @antonwolfy!