code: def merge_transfer(
      input: pd.DataFrame,
      id: ShuffleId,
      input_partition: int,
      npartitions: int,
      meta: pd.DataFrame,
      parts_out: set[int],
      disk: bool,
  ):
      return shuffle_transfer(
          input=input,
          id=id,
          input_partition=input_partition,
          npartitions=npartitions,
          column=_HASH_COLUMN_NAME,
          meta=meta,
          parts_out=parts_out,
          disk=disk,
      )
  
imports: from __future__ import annotations
  from collections.abc import Iterable, Sequence
  from typing import TYPE_CHECKING, Any
  import dask
  from dask.base import is_dask_collection, tokenize
  from dask.highlevelgraph import HighLevelGraph
  from dask.layers import Layer
  from distributed.shuffle._arrow import check_minimal_arrow_version
  from distributed.shuffle._core import ShuffleId, barrier_key, get_worker_plugin
  from distributed.shuffle._shuffle import shuffle_barrier, shuffle_transfer
label_desc: Use image node_id 4 for calling a global function with example usage: merge_transfer(input, id, input_partition, npartitions, meta, parts_out, disk) and returns: shuffle_transfer