code: def test_dict_list_tuple():
      # pandas encoderizer example
      X = [
          "[text encoding is fun]",
          "this is a text encoding {'pizza': 'example'}",
          "hopefully it works and [we'll have passed] the test",
      ]
      df = pd.DataFrame(
          {
              "text_col": X * 4,
              "categorical_str_col": ["control", "treatment", "control"]
              * 4,
              "categorical_int_col": [0, 1, 2] * 4,
              "numeric_col": [5, 22, 69] * 4,
              "dict_col": [{"a": 4}, {"b": 1}, {"c": 3}] * 4,
              "list_col": [[1, 2], [1, 3], [2]] * 4,
              "tuple_col": [(1, 2), (1, 3), (2,)] * 4,
          }
      )
      encoderizer = encoder.Encoderizer(size="medium")
      X_t = encoderizer.fit_transform(df)
      assert X_t.shape == (12, 244)
  
label_desc: Use image node_id 5 for calling a global function with example usage: test_dict_list_tuple() without return types