code: def _make_sparse_empty(dtype):
      data = cupy.array([0], dtype)
      indices = cupy.array([0], "i")
      indptr = cupy.array([0], "i")
      return sparse.csr_matrix((data, indices, indptr), shape=(0, 0))
  
imports: import sys
  import time
  import warnings
  import cupy
  from cupy import cuda
  from cupy.cuda import nccl
  from cupy import testing
  from cupyx.distributed import init_process_group
  from cupyx.distributed._nccl_comm import NCCLBackend
  from cupyx.distributed._store import ExceptionAwareProcess
  from cupyx.scipy import sparse
label_desc: Use image node_id 15 for calling a global function with example usage: _make_sparse_empty(dtype) and returns: sparse