code: def test_issues_from_scores_invalid_inputs():
      # Test if function raises exception when input parameters are invalid
      with pytest.raises(ValueError):
          issues_from_scores(None)
      with pytest.raises(ValueError):
          issues_from_scores(
              np.array([0.1, 0.2, 0.3]), threshold=1.1
          )  # Threshold more than 1
      with pytest.raises(ValueError):
          issues_from_scores(np.array([0.1, 0.2, 0.3]), threshold=-0.1)
  
imports: import numpy
  import random
  import pytest
  from unittest import mock
  import matplotlib.pyplot
  from pathlib import Path
  from cleanlab.internal.multilabel_scorer import softmin
  from cleanlab.internal.segmentation_utils import _check_input, _get_valid_optional_params, _get_summary_optional_params
  from cleanlab.segmentation.filter import find_label_issues
  from cleanlab.segmentation.rank import get_label_quality_scores, issues_from_scores, _get_label_quality_per_image
  from cleanlab.segmentation.summary import display_issues, common_label_issues, filter_by_class, _generate_colormap
label_desc: Use image node_id 12 for calling a global function with example usage: test_issues_from_scores_invalid_inputs() without return types