code: def generate_input(self):
      if self._regression:
          (
              dtypes_meta,
              num_rows,
              num_cols,
              seed,
          ) = self.get_next_regression_params()
      else:
          seed = random.randint(0, 2**32 - 1)
          random.seed(seed)
          dtypes_list = list(cudf.utils.dtypes.ALL_TYPES)
          dtypes_meta, num_rows, num_cols = _generate_rand_meta(
              self, dtypes_list
          )
          self._current_params["dtypes_meta"] = dtypes_meta
          self._current_params["seed"] = seed
          self._current_params["num_rows"] = num_rows
          self._current_params["num_columns"] = num_cols
      logging.info(
          f"Generating DataFrame with rows: {num_rows} "
          f"and columns: {num_cols}"
      )
      table = dg.rand_dataframe(dtypes_meta, num_rows, seed)
      df = pyarrow_to_pandas(table)
  
      logging.info(f"Shape of DataFrame generated: {df.shape}")
      self._current_buffer = df
      return df.to_csv()
  
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 2 for calling the CSVReader obj's underlying member method code with example usage: obj.generate_input() and returns: df