code: def register_scipy_sparse():
      import scipy.sparse
  
      def _concatenate(L, axis=0):
          if axis == 0:
              return scipy.sparse.vstack(L)
          elif axis == 1:
              return scipy.sparse.hstack(L)
          else:
              msg = (
                  "Can only concatenate scipy sparse matrices for axis in "
                  "{0, 1}.  Got %s" % axis
              )
              raise ValueError(msg)
  
      concatenate_lookup.register(scipy.sparse.spmatrix, _concatenate)
      tensordot_lookup.register(
          scipy.sparse.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 7 for calling a global function with example usage: register_scipy_sparse() and returns: scipy, scipy