class_docstr: Attribute type for Scipy sparse arrays. Can accept values of any type in
  ``scipy.sparse``. Arrays are serialized using the CSR format.
code: def hdf5_to_value(self, bind: HDF5Group) -> SparseT:
      info = AttributeInfo(bind.attrs)
  
      value = csr_array(
          (
              np.array(bind["data"]),
              np.array(bind["indices"]),
              np.array(bind["indptr"]),
          ),
          shape=tuple(bind["shape"]),
      )
  
      sparse_array_class = cast(
          Type[SparseT],
          self._supported_sparse_dict()[info["sparse_array_class"]],
      )
      if not isinstance(value, sparse_array_class):
          value = sparse_array_class(value)
  
      return value
  
file_path: pennylane/pennylane/data/attributes/sparse_array.py
imports: from functools import lru_cache
  from typing import Dict, Generic, Tuple, Type, TypeVar, Union, cast
  import numpy
  from scipy.sparse import bsr_array, bsr_matrix, coo_array, coo_matrix, csc_array, csc_matrix, csr_array, csr_matrix, dia_array, dia_matrix, dok_array, dok_matrix, lil_array, lil_matrix
  from pennylane.data.base.attribute import AttributeInfo, DatasetAttribute
  from pennylane.data.base.hdf5 import HDF5Group
label_desc: Use image node_id 5 for calling the DatasetSparseArray obj's underlying member method code with example usage: obj.hdf5_to_value(bind) and returns: value