code: def test_common_label_issues(test_issues, test_kwargs):
      df = common_label_issues(test_issues, words, **test_kwargs)
      assert isinstance(df, pd.DataFrame)
  
      columns = df.columns.tolist()
      for col in ["token", "num_label_issues"]:
          assert col in columns
      if test_kwargs:
          for col in ["given_label", "predicted_label"]:
              assert col in columns
  
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 15 for calling a global function with example usage: test_common_label_issues(test_issues, test_kwargs) without return types