code: def register_cupyx():
      from cupyx.scipy.sparse import spmatrix
  
      try:
          from cupyx.scipy.sparse import hstack, vstack
      except ImportError as e:
          raise ImportError(
              "Stacking of sparse arrays requires at least CuPy version 8.0.0"
          ) from e
  
      def _concat_cupy_sparse(L, axis=0):
          if axis == 0:
              return vstack(L)
          elif axis == 1:
              return hstack(L)
          else:
              msg = (
                  "Can only concatenate cupy sparse matrices for axis in "
                  "{0, 1}.  Got %s" % axis
              )
              raise ValueError(msg)
  
      concatenate_lookup.register(spmatrix, _concat_cupy_sparse)
      tensordot_lookup.register(spmatrix, _tensordot_scipy_sparse)
  
imports: from __future__ import annotations
  import math
  import numpy
  from dask.array import chunk
  from dask.array.core import Array
  from dask.array.dispatch import concatenate_lookup, divide_lookup, einsum_lookup, empty_lookup, nannumel_lookup, numel_lookup, percentile_lookup, tensordot_lookup, to_cupy_dispatch, to_numpy_dispatch
  from dask.array.numpy_compat import divide
  from dask.array.numpy_compat import ma_divide
  from dask.array.percentile import _percentile
  from dask.backends import CreationDispatch, DaskBackendEntrypoint
label_desc: Use image node_id 5 for calling a global function with example usage: register_cupyx() and returns: vstack, hstack