code: def testParseExamplesTypeMismatch(self):
      examples = []
      example = tf.train.Example()
      example.features.feature["feat"].int64_list.value.append(0)
      examples.append(example)
      example = tf.train.Example()
      example.features.feature["feat"].bytes_list.value.append(b"str")
      examples.append(example)
  
      entries = {}
      self.fs._ParseExample(
          examples[0].features.feature, [], entries, 0
      )
  
      with self.assertRaises(TypeError):
          self.fs._ParseExample(
              examples[1].features.feature, [], entries, 1
          )
  
imports: from facets_overview.feature_statistics_generator import FeatureStatisticsGenerator
  import numpy
  import tensorflow
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 11 for calling the FeatureStatisticsGeneratorTest obj's underlying member method code with example usage: obj.testParseExamplesTypeMismatch() without return types