TST workaround arpack-ng regression in [scipy-dev] (scikit-learn#29432)

Author: ogrisel

sklearn/utils/estimator_checks.py

@@ -1028,9 +1028,9 @@ def check_array_api_input_and_values(
 def _check_estimator_sparse_container(name, estimator_orig, sparse_type):
     rng = np.random.RandomState(0)
     X = rng.uniform(size=(40, 3))
-    X[X < 0.8] = 0
+    X[X < 0.6] = 0
     X = _enforce_estimator_tags_X(estimator_orig, X)
-    y = (4 * rng.uniform(size=40)).astype(int)
+    y = (4 * rng.uniform(size=X.shape[0])).astype(np.int32)
     # catch deprecation warnings
     with ignore_warnings(category=FutureWarning):
         estimator = clone(estimator_orig)