code: def _convert_drop(drop):
      if drop is None or drop == "first":
          return drop
      return [
          ord(x) if isinstance(x, str) else x for x in drop.values()
      ]
  
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 2 for calling a global function with example usage: _convert_drop(drop) and returns: unknown, drop