code: def _get_dtype_param_value(dtype_val):
      if dtype_val is not None and isinstance(dtype_val, abc.Mapping):
          processed_dtypes = {}
          for col_name, dtype in dtype_val.items():
              if cudf.utils.dtypes.is_categorical_dtype(dtype):
                  processed_dtypes[col_name] = "category"
              else:
                  processed_dtypes[col_name] = str(
                      pandas_dtypes_to_np_dtypes.get(dtype, dtype)
                  )
          return processed_dtypes
      return dtype_val
  
imports: import logging
  import random
  from collections import abc
  import numpy
  import cudf
  from cudf._fuzz_testing.io import IOFuzz
  from cudf._fuzz_testing.utils import ALL_POSSIBLE_VALUES, _generate_rand_meta, pyarrow_to_pandas
  from cudf.testing import dataset_generator
  from cudf.utils.dtypes import pandas_dtypes_to_np_dtypes
label_desc: Use image node_id 1 for calling a global function with example usage: _get_dtype_param_value(dtype_val) and returns: dtype_val, processed_dtypes