WIP: Enable array api support in neighbor

[yuejiaointel]

Description

Follow up PR of #2284 (will rebase after this one is merged)
that refactor neighbors with array api standard

---

Checklist:

Completeness and readability

• I have commented my code, particularly in hard-to-understand areas.
• I have updated the documentation to reflect the changes or created a separate PR with updates and provided its number in the description, if necessary.
• Git commit message contains an appropriate signed-off-by string (see CONTRIBUTING.md for details).
• I have resolved any merge conflicts that might occur with the base branch.

Testing

• I have run it locally and tested the changes extensively.
• All CI jobs are green or I have provided justification why they aren't.
• I have extended testing suite if new functionality was introduced in this PR.

Performance

• I have measured performance for affected algorithms using scikit-learn_bench and provided at least a summary table with measured data, if performance change is expected.
• I have provided justification why performance and/or quality metrics have changed or why changes are not expected.
• I have extended the benchmarking suite and provided a corresponding scikit-learn_bench PR if new measurable functionality was introduced in this PR.

[david-cortes-intel]

Shouldn't it extract the namespace to get the dtypes, as done elsewhere? For example:

scikit-learn-intelex/sklearnex/linear_model/linear.py

Line 267 in 2ad6ef7

dtype=[xp.float64, xp.float32],

[yuejiaointel]

There are lots of parts in onedal neighbor we need to move to sklearnex, and I plan to do array api stuff after this step to avoid too much changes at once

[david-cortes-intel]

I'd prefer to have all the changes in one PR as they'd be modifying the same parts.

[david-cortes-intel]

NumPy is a mandatory dependency so it could be imported at the top level.

[yuejiaointel]

Thx, removed!

[david-cortes-intel]

As part of the PR, please add the relevant classes that will get array api support to this list now that they are documented:

scikit-learn-intelex/doc/sources/array_api.rst

Line 84 in 3d86aeb

Supported classes

[codecov]

Codecov Report

❌ Patch coverage is 84.49438% with 69 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
sklearnex/neighbors/common.py	80.00%	25 Missing and 10 partials ⚠️
onedal/neighbors/neighbors.py	42.42%	16 Missing and 3 partials ⚠️
sklearnex/neighbors/knn_regression.py	88.09%	8 Missing and 2 partials ⚠️
sklearnex/neighbors/knn_unsupervised.py	90.47%	2 Missing and 2 partials ⚠️
sklearnex/neighbors/knn_classification.py	98.68%	0 Missing and 1 partial ⚠️

Flag	Coverage Δ
azure	?
github	81.52% <84.49%> (+8.50%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
sklearnex/neighbors/_lof.py	100.00% <100.00%> (ø)
sklearnex/neighbors/knn_classification.py	98.54% <98.68%> (-0.06%)	⬇️
sklearnex/neighbors/knn_unsupervised.py	94.73% <90.47%> (-3.51%)	⬇️
sklearnex/neighbors/knn_regression.py	92.70% <88.09%> (-5.66%)	⬇️
onedal/neighbors/neighbors.py	61.64% <42.42%> (-18.41%)	⬇️
sklearnex/neighbors/common.py	86.12% <80.00%> (-6.36%)	⬇️

... and 75 files with indirect coverage changes

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.