code: def test_onehot_drop_exceptions(client, drop, pattern):
      X = DataFrame({"chars": ["c", "b", "d"], "int": [2, 1, 0]})
      X = dask_cudf.from_cudf(X, npartitions=2)
  
      with pytest.raises(ValueError, match=pattern):
          OneHotEncoder(sparse=False, drop=drop).fit(X)
  
file_path: cuml/python/cuml/tests/dask/test_dask_one_hot_encoder.py
imports: from cuml.internals.safe_imports import cpu_only_import_from
  from sklearn.preprocessing import OneHotEncoder
  from cuml.testing.utils import stress_param, generate_inputs_from_categories, assert_inverse_equal, from_df_to_numpy
  from cuml.dask.preprocessing import OneHotEncoder
  import dask.array
  from cuml.internals.safe_imports import cpu_only_import
  from cudf import DataFrame, Series
  import pytest
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 10 for calling a global function with example usage: test_onehot_drop_exceptions(client, drop, pattern) without return types