code: def test_given_unknown_categorical_input_when_apply_one_hot_encoders_then_does_not_raise_error():
      assert apply_one_hot_encoding(
          np.array([["a", 4, "f"]]),
          fit_one_hot_encoders(
              np.array(
                  [["d", 1, "a"], ["b", 2, "d"], ["a", 3, "a"]],
                  dtype=object,
              )
          ),
      ) == approx(np.array([[1, 0, 0, 4, 0, 0]]))
  
imports: import random
  import networkx
  import numpy
  import pandas
  import pytest
  from _pytest.python_api import approx
  from dowhy import gcm
  from dowhy.gcm.util.general import apply_catboost_encoding, apply_one_hot_encoding, auto_apply_encoders, auto_fit_encoders, fit_catboost_encoders, fit_one_hot_encoders, has_categorical, is_categorical, is_discrete, set_random_seed, setdiff2d, shape_into_2d
label_desc: Use image node_id 5 for calling a global function with example usage: test_given_unknown_categorical_input_when_apply_one_hot_encoders_then_does_not_raise_error() without return types