code: def get_read_tasks(self, parallelism: int):
      def _blocks_generator():
          for _ in range(self.num_batches_per_task):
              if self.use_bytes:
                  # NOTE(swang): Each np object has some metadata bytes, so
                  # actual size can be much more than num_rows_per_batch * row_size
                  # if row_size is small.
                  yield pd.DataFrame(
                      {
                          "one": [
                              np.random.bytes(self.row_size)
                              for _ in range(self.num_rows_per_batch)
                          ]
                      }
                  )
              elif self.use_arrow:
                  batch = {
                      "one": np.ones(
                          (self.num_rows_per_batch, self.row_size),
                          dtype=np.uint8,
                      )
                  }
                  block = ArrowBlockAccessor.numpy_to_block(batch)
                  yield block
              else:
                  yield pd.DataFrame(
                      {
                          "one": [
                              np.array2string(
                                  np.ones(self.row_size, dtype=int)
                              )
                              for _ in range(self.num_rows_per_batch)
                          ]
                      }
                  )
  
      return parallelism * [
          ReadTask(
              lambda: _blocks_generator(),
              BlockMetadata(
                  num_rows=self.num_batches_per_task
                  * self.num_rows_per_batch,
                  size_bytes=self.num_batches_per_task
                  * self.num_rows_per_batch
                  * self.row_size,
                  schema=None,
                  input_files=None,
                  exec_stats=None,
              ),
          )
      ]
  
imports: import os
  import time
  from dataclasses import astuple, dataclass
  import numpy
  import pandas
  import pyarrow
  import pytest
  import ray
  from ray.data import Dataset
  from ray.data._internal.arrow_block import ArrowBlockAccessor
  from ray.data._internal.lazy_block_list import LazyBlockList
  from ray.data.block import BlockMetadata
  from ray.data.datasource import Datasource
  from ray.data.datasource.csv_datasource import CSVDatasource
  from ray.data.datasource.datasource import Reader, ReadTask
  from ray.data.tests.conftest import CoreExecutionMetrics, assert_blocks_expected_in_plasma, assert_core_execution_metrics_equals, get_initial_core_execution_metrics_snapshot
  from ray.tests.conftest import *
label_desc: Use image node_id 3 for calling the RandomBytesReader obj's underlying member method code with example usage: obj.get_read_tasks(parallelism) and returns: unknown