code: def testParseExampleInt(self):
      # Tests parsing examples of integers
      examples = []
      for i in range(50):
          example = tf.train.Example()
          example.features.feature["num"].int64_list.value.append(i)
          examples.append(example)
  
      entries = {}
      for i, example in enumerate(examples):
          self.fs._ParseExample(
              example.features.feature, [], entries, i
          )
  
      self.assertEqual(1, len(entries))
      self.assertIn("num", entries)
      info = entries["num"]
      self.assertEqual(0, info["missing"])
      self.assertEqual(self.fs.fs_proto.INT, info["type"])
      for i in range(len(examples)):
          self.assertEqual(1, info["counts"][i])
          self.assertEqual(i, info["vals"][i])
  
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 2 for calling the FeatureStatisticsGeneratorTest obj's underlying member method code with example usage: obj.testParseExampleInt() without return types