code: def allreduce(
      data: np.ndarray, op: Op
  ) -> np.ndarray:  # pylint:disable=invalid-name
      """Perform allreduce, return the result.
  
      Parameters
      ----------
      data :
          Input data.
      op :
          Reduction operator.
  
      Returns
      -------
      result :
          The result of allreduce, have same shape as data
  
      Notes
      -----
      This function is not thread-safe.
      """
      if not isinstance(data, np.ndarray):
          raise TypeError("allreduce only takes in numpy.ndarray")
      buf = data.ravel()
      if buf.base is data.base:
          buf = buf.copy()
      if buf.dtype not in DTYPE_ENUM__:
          raise TypeError(f"data type {buf.dtype} not supported")
      _check_call(
          _LIB.XGCommunicatorAllreduce(
              buf.ctypes.data_as(ctypes.c_void_p),
              buf.size,
              DTYPE_ENUM__[buf.dtype],
              int(op),
              None,
              None,
          )
      )
      return buf
  
imports: import ctypes
  import json
  import logging
  import os
  import pickle
  from enum import IntEnum, unique
  from typing import Any, Dict, List, Optional
  import numpy
  from ._typing import _T
  from .core import _LIB, _check_call, build_info, c_str, from_pystr_to_cstr, py_str
label_desc: Use image node_id 9 for calling a global function with example usage: allreduce(data, op) and returns: buf