code: def test_find_issues_with_features(self, issue_manager, features):
      issue_manager.find_issues(features=features)
      issues = issue_manager.issues
      assert isinstance(
          issues, pd.DataFrame
      ), "Issues should be a dataframe"
      expected_issue_mask = features.ravel() == 0.4
      assert (
          sum(expected_issue_mask) == 1
      ), "There should be exactly one issue"
  
      np.testing.assert_array_equal(
          issues["is_label_issue"].values, expected_issue_mask
      )
      # Assert that he minimum score "label_score" is at the correct index
      index_of_error = np.where(expected_issue_mask)[0][0]
      assert issues["label_score"].values.argmin() == index_of_error
  
imports: import numpy
  import pandas
  import pytest
  from cleanlab import Datalab
  from cleanlab.datalab.internal.issue_manager.regression.label import RegressionLabelIssueManager
label_desc: Use image node_id 5 for calling the TestRegressionLabelIssueManager obj's underlying member method code with example usage: obj.test_find_issues_with_features(issue_manager, features) without return types