code: def _get_shape_and_sizes(cls, arrays, shape):
      # We get the elements from the array and send them
      # so that other process can create receiving arrays for it
      # However, this exchange synchronizes the gpus
      sizes_shape = shape + tuple((a.size for a in arrays))
      return sizes_shape
  
imports: import numpy
  import warnings
  import cupy
  from cupy.cuda import nccl
  from cupyx.distributed import _store
  from cupyx.distributed._comm import _Backend
  from cupyx.scipy import sparse
label_desc: Use image node_id 2 for calling the _SparseNCCLCommunicator obj's underlying member method code with example usage: obj._get_shape_and_sizes(cls, arrays, shape) and returns: sizes_shape