class_docstr: Provides a dict-like collection for Dataset attribute types. Keys must
  be strings.
class_docstr_tok: ["Provides","a","dict-like","collection","for","Dataset","attribute","types",".","Keys","must","be","strings","."]
code: def __eq__(self, __value: object) -> bool:
      if not isinstance(__value, Mapping):
          return False
  
      if not len(self) == len(__value):
          return False
  
      if self.keys() != __value.keys():
          return False
  
      return all(__value[key] == self[key] for key in __value.keys())
  
imports: import typing
  from collections.abc import Mapping
  from typing import Dict, Generic, Union
  from pennylane.data.base.attribute import DatasetAttribute
  from pennylane.data.base.hdf5 import HDF5Any, HDF5Group
  from pennylane.data.base.mapper import MapperMixin
  from pennylane.data.base.typing_util import T
label_desc: Use image node_id 11 for calling the DatasetDict obj's underlying member method code with example usage: obj.__eq__(__value) and returns: all, False, False, False