code: def apply_to(
      self,
      target: "_Chunk",
      mode: "_modes.Mode",
      shape: tuple[int, ...],
      comms: dict[int, _data_transfer._Communicator],
      streams: dict[int, Stream],
  ) -> None:
      # Overwrite target with mode.func(self, target) on their overlaps
      # This is just appending part of self to target.updates in the mode
      src_chunk = self
      dst_chunk = target
  
      assert len(src_chunk.updates) == 0
      assert isinstance(src_chunk.array, ndarray)
  
      src_dev = src_chunk.array.device.id
      dst_dev = dst_chunk.array.device.id
      src_idx = src_chunk.index
      dst_idx = dst_chunk.index
  
      intersection = _index_arith._index_intersection(
          src_idx, dst_idx, shape
      )
      if intersection is None:
          return
  
      src_new_idx = _index_arith._index_for_subindex(
          src_idx, intersection, shape
      )
      dst_new_idx = _index_arith._index_for_subindex(
          dst_idx, intersection, shape
      )
  
      data_to_transfer = _data_transfer._AsyncData(
          src_chunk.array[src_new_idx],
          src_chunk.ready,
          src_chunk.prevent_gc,
      )
  
      if mode is not _modes.REPLICA and not mode.idempotent:
          data_to_transfer = data_to_transfer.copy()
  
      update = _data_transfer._transfer(
          comms[src_dev],
          streams[src_dev],
          data_to_transfer,
          comms[dst_dev],
          streams[dst_dev],
          dst_dev,
      )
      dst_chunk.add_update(update, dst_new_idx)
  
      if mode is not _modes.REPLICA and not mode.idempotent:
          dtype = src_chunk.array.dtype
          with data_to_transfer.on_ready() as stream:
              # Now src data has been copied, so we can write on src_chunk
              src_chunk.array[src_new_idx] = mode.identity_of(dtype)
              stream.record(src_chunk.ready)
  
imports: import contextlib
  from itertools import chain
  from typing import Any, Iterator, Optional, Union
  import numpy
  from cupy._core.core import ndarray
  import cupy._creation.basic
  import cupy._manipulation.dims
  from cupy.cuda.device import Device
  from cupy.cuda.stream import Event
  from cupy.cuda.stream import Stream
  from cupy.cuda.stream import get_current_stream
  from cupyx.distributed.array import _modes
  from cupyx.distributed.array import _index_arith
  from cupyx.distributed.array import _data_transfer
  from cupyx.distributed.array._data_transfer import _Communicator
label_desc: Use image node_id 7 for calling the _Chunk obj's underlying member method code with example usage: obj.apply_to(target, mode, shape, comms, streams) without return types