code: def test_optional_dict_like_error():
      match = r"value must be a dict or dict_like \(i.e., a Mapping\)"
      with pytest.raises(TypeError, match=match):
          dict_like([], "value", optional=True)
      with pytest.raises(TypeError, match=match):
          dict_like({"a"}, "value", optional=True)
      with pytest.raises(TypeError, match=match):
          dict_like("a", "value", optional=True)
  
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 9 for calling a global function with example usage: test_optional_dict_like_error() without return types