code: def get_read_tasks(
      self,
      parallelism: int,
  ) -> List[ReadTask]:
      _check_pyarrow_version()
      import pyarrow
  
      read_tasks: List[ReadTask] = []
      n = self._n
      num_columns = self._num_columns
      block_size = max(1, n // parallelism)
  
      def make_block(count: int, num_columns: int) -> Block:
          return pyarrow.Table.from_arrays(
              np.random.randint(
                  np.iinfo(np.int64).max,
                  size=(num_columns, count),
                  dtype=np.int64,
              ),
              names=[f"c_{i}" for i in range(num_columns)],
          )
  
      schema = pyarrow.Table.from_pydict(
          {f"c_{i}": [0] for i in range(num_columns)}
      ).schema
  
      i = 0
      while i < n:
          count = min(block_size, n - i)
          meta = BlockMetadata(
              num_rows=count,
              size_bytes=8 * count * num_columns,
              schema=schema,
              input_files=None,
              exec_stats=None,
          )
          read_tasks.append(
              ReadTask(
                  lambda count=count, num_columns=num_columns: [
                      make_block(count, num_columns)
                  ],
                  meta,
              )
          )
          i += block_size
  
      return read_tasks
  
imports: import warnings
  from typing import Any, Callable, Iterable, List, Optional
  import numpy
  import ray
  from ray.data._internal.execution.interfaces import TaskContext
  from ray.data._internal.util import _check_pyarrow_version
  from ray.data.block import Block, BlockAccessor, BlockMetadata
  from ray.data.context import DataContext
  from ray.types import ObjectRef
  from ray.util.annotations import Deprecated, DeveloperAPI, PublicAPI
label_desc: Use image node_id 3 for calling the _RandomIntRowDatasourceReader obj's underlying member method code with example usage: obj.get_read_tasks(parallelism) and returns: read_tasks, pyarrow