code: def pandas_df_to_arrow_block(df: "pandas.DataFrame") -> "Block":
      from ray.data.block import BlockAccessor, BlockExecStats
  
      stats = BlockExecStats.builder()
      import pyarrow as pa
  
      block = pa.table(df)
      return (
          block,
          BlockAccessor.for_block(block).get_metadata(
              input_files=None, exec_stats=stats.build()
          ),
      )
  
imports: import importlib
  import logging
  import os
  import pathlib
  import random
  import sys
  import threading
  import time
  import urllib.parse
  from collections import deque
  from types import ModuleType
  from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, TypeVar, Union
  import numpy
  import ray
  from ray._private.utils import _get_pyarrow_version
  from ray.data._internal.arrow_ops.transform_pyarrow import unify_schemas
  from ray.data.context import WARN_PREFIX, DataContext
label_desc: Use image node_id 21 for calling a global function with example usage: pandas_df_to_arrow_block(df) and returns: block,  BlockAccessor