code: def test_haar_like_feature_coord(
      feature_type, height, width, expected_coord
  ):
      feat_coord, feat_type = haar_like_feature_coord(
          width, height, feature_type
      )
      # convert the output to a full numpy array just for comparison
      feat_coord = np.array([hf for hf in feat_coord])
      assert_array_equal(feat_coord, expected_coord)
      assert np.all(feat_type == feature_type)
  
file_path: scikit-image/skimage/feature/tests/test_haar.py
imports: from random import shuffle
  import pytest
  import numpy
  from numpy.testing import assert_allclose
  from numpy.testing import assert_array_equal
  from skimage.transform import integral_image
  from skimage.feature import haar_like_feature
  from skimage.feature import haar_like_feature_coord
  from skimage.feature import draw_haar_like_feature
label_desc: Use image node_id 6 for calling a global function with example usage: test_haar_like_feature_coord(feature_type, height, width, expected_coord) without return types