code: def testPatternMatches_ConfigParamsRegex(self, model_type):
      pattern = LayerPattern("Dense", config={"name": "dense.*"})
      transform = self.VerifyMatch(pattern)
  
      model = self._simple_dense_model(model_type)
  
      ModelTransformer(model, [transform]).transform()
      self.assertTrue(transform.matched())
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras.graph_transformations import model_transformer
  from tensorflow_model_optimization.python.core.quantization.keras.graph_transformations import transforms
label_desc: Use image node_id 22 for calling the ModelTransformerTest obj's underlying member method code with example usage: obj.testPatternMatches_ConfigParamsRegex(model_type) without return types