code: def set_rand_params(self, params):
      params_dict = {}
      for param, values in params.items():
          if values == ALL_POSSIBLE_VALUES:
              if param == "columns":
                  col_size = self._rand(
                      len(self._current_buffer.columns)
                  )
                  params_dict[param] = list(
                      np.unique(
                          np.random.choice(
                              self._current_buffer.columns, col_size
                          )
                      )
                  )
              elif param == "chunksize":
                  params_dict[param] = np.random.choice(
                      [
                          None,
                          np.random.randint(
                              low=1,
                              high=max(1, len(self._current_buffer)),
                          ),
                      ]
                  )
          else:
              params_dict[param] = np.random.choice(values)
      self._current_params["test_kwargs"] = self.process_kwargs(
          params_dict
      )
  
file_path: cudf/python/cudf/cudf/_fuzz_testing/csv.py
imports: import logging
  import random
  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 4 for calling the CSVWriter obj's underlying member method code with example usage: obj.set_rand_params(params) without return types