code: def test_onehot_categories_shape_mismatch(as_array):
      X = DataFrame({"chars": ["a"], "int": [0]})
      categories = DataFrame({"chars": ["a", "b", "c"]})
      if as_array:
          X = _from_df_to_cupy(X)
          categories = _from_df_to_cupy(categories).transpose()
  
      with pytest.raises(ValueError):
          OneHotEncoder(categories=categories, sparse=False).fit(X)
  
imports: from sklearn.preprocessing import OneHotEncoder
  from cuml.testing.utils import stress_param, from_df_to_numpy, assert_inverse_equal, generate_inputs_from_categories
  from cuml.preprocessing import OneHotEncoder
  from cuml.internals.safe_imports import gpu_only_import_from
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
  import math
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 15 for calling a global function with example usage: test_onehot_categories_shape_mismatch(as_array) without return types