code: def copy(array, out=None, out_device=None, stream=None):
      """Copies a :class:`cupy.ndarray` object using the default stream.
  
      This function can copy the device array to the destination array on another
      device.
  
      Args:
          array (cupy.ndarray): Array to be copied.
          out (cupy.ndarray): Destination array.
              If it is not ``None``, then ``out_device`` argument is ignored.
          out_device: Destination device specifier. Actual device object is
              obtained by passing this value to :func:`get_device`.
          stream (cupy.cuda.Stream): CUDA stream.
  
      Returns:
          cupy.ndarray: Copied array.
  
          If ``out`` is not specified, then the array is allocated on the device
          specified by ``out_device`` argument.
  
      """
      # TODO(niboshi): Update docstring not to mention deprecated `get_device`
      check_cuda_available()
      assert stream is None  # TODO(beam2d): FIX IT
  
      if out is None:
          if out_device is None:
              out_device = array
          with chainer.get_device(out_device):
              out = cupy.empty_like(array)
  
      with get_device_from_array(array):
          cupy.copyto(out, array)
  
      return out
  
imports: import binascii
  import functools
  import itertools
  import os
  import threading
  import time
  import typing
  import warnings
  import numpy
  import six
  import chainer
  from chainer import _backend
  from chainer.backends import _cpu
  from chainer.backends import intel64
  from chainer.configuration import config
  from chainer import types
  import chainerx
label_desc: Use image node_id 11 for calling a global function with example usage: copy(array, out, out_device, stream) and returns: out