code: def _arrow_table_reduce(t: "pyarrow.Table"):
      """Custom reducer for Arrow Tables that works around a zero-copy slice pickling bug.
      Background:
          Arrow has both array-level slicing and buffer-level slicing; both are zero-copy,
          but the former has a serialization bug where the entire buffer is serialized
          instead of just the slice, while the latter's serialization works as expected
          and only serializes the slice of the buffer. I.e., array-level slicing doesn't
          propagate the slice down to the buffer when serializing the array.
          All that these copy methods do is, at serialization time, take the array-level
          slicing and translate them to buffer-level slicing, so only the buffer slice is
          sent over the wire instead of the entire buffer.
      See https://issues.apache.org/jira/browse/ARROW-10739.
      """
      global _serialization_fallback_set
  
      # Reduce the ChunkedArray columns.
      reduced_columns = []
      for column_name in t.column_names:
          column = t[column_name]
          try:
              # Delegate to ChunkedArray reducer.
              reduced_column = _arrow_chunked_array_reduce(column)
          except Exception as e:
              if not _is_dense_union(column.type) and _is_in_test():
                  # If running in a test and the column is not a dense union array
                  # (which we expect to need a fallback), we want to raise the error,
                  # not fall back.
                  raise e from None
              if type(column.type) not in _serialization_fallback_set:
                  logger.warning(
                      "Failed to complete optimized serialization of Arrow Table, "
                      f"serialization of column '{column_name}' of type {column.type} "
                      "failed, so we're falling back to Arrow IPC serialization for the "
                      "table. Note that this may result in slower serialization and more "
                      "worker memory utilization. Serialization error:",
                      exc_info=True,
                  )
                  _serialization_fallback_set.add(type(column.type))
              # Fall back to Arrow IPC-based workaround for the entire table.
              return _arrow_table_ipc_reduce(t)
          else:
              # Column reducer succeeded, add reduced column to list.
              reduced_columns.append(reduced_column)
      return _reconstruct_table, (reduced_columns, t.schema)
  
imports: from dataclasses import dataclass
  import logging
  import os
  import sys
  from typing import List, Tuple, Optional, TYPE_CHECKING
label_desc: Use image node_id 6 for calling a global function with example usage: _arrow_table_reduce(t) and returns: _reconstruct_table,  reduced_columns,  t, _arrow_table_ipc_reduce