class_docstr: Wraps dict.get and counts successful key accesses.
code: def get(self, key: str):
      if self.wrapped_mapping and key in self.wrapped_mapping:
          self.count += 1
          return self.wrapped_mapping[key]
      return None
  
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 2 for calling the _DictGetCounter obj's underlying member method code with example usage: obj.get(key) and returns: None, self