ENH: adding array-api-compat and enabling array api conformance tests

[samir-nasibli]

Description

Adding array-api-compat and enabling array api conformance tests.

Done:

• added array-api-compat to test env.
  • test statistics:
    • 169 Array API tests:
      • SKIPPED 129 (due to torch/array_api.cupy availability) - not required.
      • PASSED 27
      • FAILED 13:

# scikit-learn-intelex functional support doesn't support attributes consistency for the inputs. Disabled now.

FAILED decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,svd_solver='covariance_eigh')-check_array_api_input_and_values-array_api_strict-None-None]
FAILED decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,svd_solver='covariance_eigh',whiten=True)-check_array_api_input_and_values-array_api_strict-None-None]
FAILED linear_model/tests/test_ridge.py::test_ridge_array_api_compliance[Ridge(solver='svd')-check_array_api_input_and_values-array_api_strict-None-None]

# other. Not yet disabled
FAILED decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,svd_solver='covariance_eigh')-check_array_api_get_precision-array_api_strict-None-None]
FAILED decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,svd_solver='covariance_eigh',whiten=True)-check_array_api_get_precision-array_api_strict-None-None]
FAILED decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,power_iteration_normalizer='QR',random_state=0,svd_solver='randomized')-check_array_api_input_and_values-array_api_strict-None-None]
FAILED decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,power_iteration_normalizer='QR',random_state=0,svd_solver='randomized')-check_array_api_get_precision-array_api_strict-None-None]
FAILED decomposition/tests/test_pca.py::test_array_api_error_and_warnings_on_unsupported_params
FAILED linear_model/tests/test_ridge.py::test_ridge_array_api_compliance[Ridge(solver='svd')-check_array_api_attributes-array_api_strict-None-None]
FAILED linear_model/tests/test_ridge.py::test_array_api_error_and_warnings_for_solver_parameter[array_api_strict]
FAILED model_selection/tests/test_split.py::test_array_api_train_test_split[True-None-array_api_strict-None-None]
FAILED model_selection/tests/test_split.py::test_array_api_train_test_split[True-stratify1-array_api_strict-None-None]
FAILED model_selection/tests/test_split.py::test_array_api_train_test_split[False-None-array_api_strict-None-None]

TODO:

• address test fails or skip tests within tickets covering
• cherry-pick from ENH: DBSCAN via Array API #2014 changes for array api dispatching. in follow up PRs.

Documentation PR (if needed): #1340 (for example)

Benchmarks PR (if needed): IntelPython/scikit-learn_bench#155 (for example)

---

Checklist to comply with before moving PR from draft:

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Testing

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Performance

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