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Actually, we also need to remove the xfail marker in the parametrization of test_linear_regression_sample_weight_consitency (and fix the typo in that test name to test_linear_regression_sample_weight_consistency while we are at it).

This should involve setting a low enough value for tol in the body of that test function.

Also, there are failing tests on the CI because the _parameter_constraints attribute of the LinearRegression class has not been updated to define the constraints of that new parameter. It should be a real value in the [0, None) range (None meaning undefined upper bound, that is +inf in practice).

EDIT: more precisely:

"tol": [Interval(Real, 0, None, closed="left")]

as defined in the _parameter_constraints attribute of the _BaseRidge class.

We will also need a dedicated changelog entry under doc/whats_new/upcoming_changes/sklearn.linear_model/.

The merge of #30535 into the main branch has caused two conflicts in sklearn/utils/_test_common/instance_generator.py. This is causing some of the CI to fail. Please merge the main branch into your branch, resolve the conflicts, and push the resulting merge commit with the resolved conflicts to your PR to re-run the CI on the results.

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