class_docstr: Attribute type for Scipy sparse arrays. Can accept values of any type in
  ``scipy.sparse``. Arrays are serialized using the CSR format.
docstr: Returns a dict mapping sparse array class names to the class.
docstr_tok: ["Returns","a","dict","mapping","sparse","array","class","names","to","the","class","."]
code: def _supported_sparse_dict(
      cls,
  ) -> Dict[str, Type[Union[SparseArray, SparseMatrix]]]:
      """Returns a dict mapping sparse array class names to the class."""
      return {op.__name__: op for op in cls.consumes_types()}
  
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 7 for calling the DatasetSparseArray obj's underlying member method code with example usage: obj._supported_sparse_dict(cls) and returns: unknown