code: def testParseExampleSequenceFeatureListMultipleEntriesOuter(self):
      # Tests parsing examples of integers in context field
      examples = []
      for i in range(2):
          example = tf.train.SequenceExample()
          for j in range(25):
              feat = example.feature_lists.feature_list[
                  "num"
              ].feature.add()
              feat.int64_list.value.append(i * 25 + j)
          examples.append(example)
  
      entries = {}
      for i, example in enumerate(examples):
          self.fs._ParseExample(
              example.context.feature,
              example.feature_lists.feature_list,
              entries,
              i,
          )
      self._check_sequence_example_entries(entries, 2, 25, 25)
  
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 8 for calling the FeatureStatisticsGeneratorTest obj's underlying member method code with example usage: obj.testParseExampleSequenceFeatureListMultipleEntriesOuter() without return types