code: def _check_sequence_example_entries(
      self, entries, n_examples, n_features, feat_len=None
  ):
      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(n_examples):
          self.assertEqual(n_features, info["counts"][i])
          if feat_len is not None:
              self.assertEqual(feat_len, info["feat_lens"][i])
      for i in range(n_examples * n_features):
          self.assertEqual(i, info["vals"][i])
      if feat_len is None:
          self.assertEqual(0, len(info["feat_lens"]))
  
imports: from feature_statistics_generator import FeatureStatisticsGenerator
  import numpy
  import tensorflow
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 4 for calling the FeatureStatisticsGeneratorTest obj's underlying member method code with example usage: obj._check_sequence_example_entries(entries, n_examples, n_features, feat_len) without return types