code: def test_onehot_drop_exceptions(drop, pattern, as_array):
      X = DataFrame({"chars": ["c", "b", "d"], "int": [2, 1, 0]})
      if as_array:
          X = _from_df_to_cupy(X)
          drop = (
              _convert_drop(drop)
              if not isinstance(drop, DataFrame)
              else drop
          )
  
      with pytest.raises(ValueError, match=pattern):
          OneHotEncoder(sparse=False, drop=drop).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 12 for calling a global function with example usage: test_onehot_drop_exceptions(drop, pattern, as_array) without return types