code: def _assign_arrays(matrix, arrays, shape):
      if sparse.isspmatrix_coo(matrix):
          matrix.data = arrays[0]
          matrix.row = arrays[1]
          matrix.col = arrays[2]
          matrix._shape = tuple(shape)
      elif sparse.isspmatrix_csr(matrix) or sparse.isspmatrix_csc(
          matrix
      ):
          matrix.data = arrays[0]
          matrix.indptr = arrays[1]
          matrix.indices = arrays[2]
          matrix._shape = tuple(shape)
      else:
          raise TypeError(
              "NCCL is not supported for this type of sparse matrix"
          )
  
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 4 for calling the _SparseNCCLCommunicator obj's underlying member method code with example usage: obj._assign_arrays(matrix, arrays, shape) without return types