class_docstr: Tests for TFRecordObserver class and dataset/spec file functions.
class_docstr_tok: ["Tests","for","TFRecordObserver","class","and","dataset\/spec","file","functions","."]
code: def test_spec_to_from_file(self):
      example_encoding_dataset.encode_spec_to_file(
          self.dataset_path, self.simple_data_spec
      )
      loaded_spec = (
          example_encoding_dataset.parse_encoded_spec_from_file(
              self.dataset_path
          )
      )
      self.assertTupleEqual(loaded_spec, self.simple_data_spec)
      with self.assertRaises(IOError):
          example_encoding_dataset.parse_encoded_spec_from_file(
              "fake_file.tfrecord"
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import numpy
  import tensorflow
  from tf_agents.drivers import dynamic_step_driver
  from tf_agents.drivers import py_driver
  from tf_agents.drivers import test_utils
  from tf_agents.drivers import tf_driver
  from tf_agents.environments import tf_py_environment
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import eager_utils
  from tf_agents.utils import example_encoding_dataset
  from tf_agents.utils import test_utils
label_desc: Use image node_id 4 for calling the TFRecordsUtilsTest obj's underlying member method code with example usage: obj.test_spec_to_from_file() without return types