class_docstr: Wraps dict.get and counts successful key accesses.
code: def __init__(self, d):
      self.count = 0
      self.wrapped_mapping = d
  
imports: from __future__ import annotations
  import concurrent.futures
  from typing import Dict, List, Union
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.features import feature
  from tensorflow_datasets.core.features import tensor_feature
  from tensorflow_datasets.core.features import top_level_feature
  from tensorflow_datasets.core.proto import feature_pb2
  from tensorflow_datasets.core.utils import dtype_utils
  from tensorflow_datasets.core.utils import py_utils
  from tensorflow_datasets.core.utils import type_utils
label_desc: Use image node_id 1 to create a new _DictGetCounter object from inherited base classes: object with example: obj = _DictGetCounter(d)