code: def test_get_label_quality_scores():
      image_scores_softmin, pixel_scores = get_label_quality_scores(
          labels, pred_probs, method="softmin"
      )
      assert np.argmax(error) == np.argmin(image_scores_softmin)
  
      image_scores_npi, pixel_scores = get_label_quality_scores(
          labels, pred_probs, method="num_pixel_issues", downsample=1
      )
      assert np.argmax(error) == np.argmin(image_scores_npi)
  
      image_scores_softmin, pixel_scores = get_label_quality_scores(
          labels, pred_probs, downsample=1, method="softmin"
      )
      assert len(image_scores_softmin) == labels.shape[0]
      assert pixel_scores.shape == labels.shape
  
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 6 for calling a global function with example usage: test_get_label_quality_scores() without return types