code: def create_placeholder(
      cls,
      shape: tuple[int, ...],
      device: Union[int, Device],
      index: tuple[slice, ...],
      updates: Optional[list[_data_transfer._PartialUpdate]] = None,
  ) -> "_Chunk":
      if isinstance(device, int):
          device = Device(device)
  
      data = _ArrayPlaceholder(shape, device)
      with device:
          ready = Event()
      if updates is None:
          updates = []
  
      return _Chunk(data, ready, index, updates)
  
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 2 for calling the _Chunk obj's underlying member method code with example usage: obj.create_placeholder(cls, shape, device, index, updates) and returns: _Chunk