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._df.columns))
                  params_dict[param] = list(
                      np.unique(
                          np.random.choice(self._df.columns, col_size)
                      )
                  )
              elif param == "stripes":
                  f = io.BytesIO(self._current_buffer)
                  orcFile = pa.orc.ORCFile(f)
                  stripes = list(range(orcFile.nstripes))
                  params_dict[param] = np.random.choice(
                      [
                          None,
                          list(
                              map(
                                  int,
                                  np.unique(
                                      np.random.choice(
                                          stripes, orcFile.nstripes
                                      )
                                  ),
                              )
                          ),
                      ]
                  )
              elif param == "use_index":
                  params_dict[param] = np.random.choice([True, False])
              elif param in ("skiprows", "num_rows"):
                  params_dict[param] = np.random.choice(
                      [None, self._rand(len(self._df))]
                  )
          else:
              if not isinstance(values, list):
                  raise TypeError("values must be of type list")
              params_dict[param] = np.random.choice(values)
      self._current_params["test_kwargs"] = self.process_kwargs(
          params_dict
      )
  
imports: import copy
  import io
  import logging
  import random
  import numpy
  import pyarrow
  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
label_desc: Use image node_id 4 for calling the OrcReader obj's underlying member method code with example usage: obj.set_rand_params(params) without return types