code: def test_pre_buffer(pre_buffer):
      N, K = 10000, 4
      df = alltypes_sample(size=N)
      a_table = pa.Table.from_pandas(df)
  
      buf = io.BytesIO()
      _write_table(
          a_table,
          buf,
          row_group_size=N / K,
          compression="snappy",
          version="2.6",
      )
  
      buf.seek(0)
      pf = pq.ParquetFile(buf, pre_buffer=pre_buffer)
      assert pf.read().num_rows == N
  
file_path: arrow/python/pyarrow/tests/parquet/test_parquet_file.py
imports: import io
  import os
  import sys
  import pytest
  import pyarrow
label_desc: Use image node_id 11 for calling a global function with example usage: test_pre_buffer(pre_buffer) without return types