code: def test_issues_from_scores(label_quality_scores):
      sentence_scores, token_scores = label_quality_scores
      issues = issues_from_scores(
          sentence_scores, token_scores=token_scores
      )
      assert len(issues) == 1
      assert issues[0] == (1, 0)
      issues_without = issues_from_scores(sentence_scores)
      assert len(issues_without) == 1
      assert issues_without[0] == 1
  
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 13 for calling a global function with example usage: test_issues_from_scores(label_quality_scores) without return types