class_docstr: Tests for `split_dict_py_tf` and `merge_dicts` methods.
class_docstr_tok: ["Tests","for","`","split_dict_py_tf","`","and","`","merge_dicts","`","methods","."]
docstr: Tests that spliting and merging amounts to identity.
  
  This test method tests that using the `split_dict_py_tf` and `merge_dicts`
  methods together amounts to an identity.
  
  Args:
    **test_dict: A dictionary to be used for the test.
docstr_tok: ["Tests","that","spliting","and","merging","amounts","to","identity",".","This","test","method","tests","that","using","the","`","split_dict_py_tf","`","and","`","merge_dicts","`","methods","together","amounts","to","an","identity",".","Args",":","*","*","test_dict",":","A","dictionary","to","be","used","for","the","test","."]
code: def test_split_merge_identity(self, **test_dict):
      """Tests that spliting and merging amounts to identity.
  
      This test method tests that using the `split_dict_py_tf` and `merge_dicts`
      methods together amounts to an identity.
  
      Args:
        **test_dict: A dictionary to be used for the test.
      """
      new_dict = py_utils.merge_dicts(
          *py_utils.split_dict_py_tf(test_dict)
      )
      self.assertDictEqual(new_dict, test_dict)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.utils import py_utils
label_desc: Use image node_id 6 for calling the SplitMergeDictTest obj's underlying member method code with example usage: obj.test_split_merge_identity() without return types