code: def test_optional_dict_like(dict_type):
      val = dict_type() if dict_type is not None else dict_type
      out = dict_like(val, "value", optional=True)
      assert isinstance(out, type(val))
  
imports: from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  from statsmodels.tools.validation import array_like, PandasWrapper, bool_like, dict_like, float_like, int_like, string_like
  from statsmodels.tools.validation.validation import _right_squeeze
label_desc: Use image node_id 8 for calling a global function with example usage: test_optional_dict_like(dict_type) without return types