code: def test_onehot_inverse_transform(drop, as_array):
      X = DataFrame({"g": ["M", "F", "F"], "i": [1, 3, 2]})
      if as_array:
          X = _from_df_to_cupy(X)
          drop = _convert_drop(drop)
  
      enc = OneHotEncoder(drop=drop)
      ohe = enc.fit_transform(X)
      inv = enc.inverse_transform(ohe)
  
      assert_inverse_equal(inv, 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 4 for calling a global function with example usage: test_onehot_inverse_transform(drop, as_array) without return types