code: def test_vis_semantic_segmentation_mismatch_names_and_colors(self):
      label = np.random.randint(-1, 2, size=(48, 64)).astype(np.int32)
      with self.assertRaises(ValueError):
          vis_semantic_segmentation(
              None,
              label,
              label_names=("class0", "class1", "class2"),
              label_colors=((255, 0, 0), (0, 255, 0)),
          )
  
file_path: chainercv/tests/visualizations_tests/test_vis_semantic_segmentation.py
imports: import numpy
  import unittest
  from chainer import testing
  from chainercv.visualizations import vis_semantic_segmentation
label_desc: Use image node_id 1 for calling the TestVisSemanticSegmentationInvalidArguments obj's underlying member method code with example usage: obj.test_vis_semantic_segmentation_mismatch_names_and_colors() without return types