class_docstr: This class performs the mapping between the objects contained
  in a HDF5 group and Dataset attributes.
class_docstr_tok: ["This","class","performs","the","mapping","between","the","objects","contained","in","a","HDF5","group","and","Dataset","attributes","."]
code: def __init__(self, bind: HDF5Group) -> None:
      self._cache = {}
      self.bind = bind
  
imports: import typing
  from collections.abc import MutableMapping
  from types import MappingProxyType
  from typing import Any, Dict, Optional, Type
  from pennylane.data.base.attribute import AttributeInfo, DatasetAttribute, get_attribute_type, match_obj_type
  from pennylane.data.base.hdf5 import HDF5Any, HDF5Group
label_desc: Use image node_id 1 to create a new AttributeTypeMapper object from inherited base classes: MutableMapping with example: obj = AttributeTypeMapper(bind)