code: def test_find_label_issues(test_labels):
      issues = find_label_issues(test_labels, pred_probs)
      assert isinstance(issues, list)
      assert len(issues) == 1
      assert issues[0] == (1, 0)
      issues2 = find_label_issues(
          test_labels,
          pred_probs,
          return_indices_ranked_by="normalized_margin",
          n_jobs=1,
      )
      assert isinstance(issues2, list)
      # Compare results with low_memory=True. Pass unused argument n_jobs=1
      issues_lm = find_label_issues(
          test_labels, pred_probs, low_memory=True, n_jobs=1
      )
      intersection = len(list(set(issues).intersection(set(issues_lm))))
      union = len(set(issues)) + len(set(issues_lm)) - intersection
      assert float(intersection) / union > 0.95
  
imports: from cleanlab.internal.token_classification_utils import get_sentence, filter_sentence, process_token, mapping, merge_probs, color_sentence, _replace_sentence
  from cleanlab.token_classification.filter import find_label_issues
  from cleanlab.token_classification.rank import get_label_quality_scores, issues_from_scores, _softmin_sentence_score
  from cleanlab.token_classification.summary import display_issues, common_label_issues, filter_by_token
  import numpy
  import pandas
  import pytest
  import warnings
label_desc: Use image node_id 9 for calling a global function with example usage: test_find_label_issues(test_labels) without return types