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 __post_init__(self, value: SparseT) -> None:
      super().__post_init__(value)
      self.info["sparse_array_class"] = type(value).__qualname__
  
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 1 for calling the DatasetSparseArray obj's underlying member method code with example usage: obj.__post_init__(value) without return types