class_docstr: A layer that gets fed its answers from an upstream connection,
  for instance from a component earlier in the pipeline.
code: def verify_inputs(self, inputs):
      if self._batch_id is None and self._outputs is None:
          raise ValueError
      else:
          batch_id = self.get_batch_id(inputs)
          if batch_id != self._batch_id:
              raise ValueError(
                  f"Mismatched IDs! {batch_id} vs {self._batch_id}"
              )
          else:
              return True
  
file_path: spacy-transformers/spacy_transformers/layers/listener.py
imports: from typing import Optional, Callable, List
  from thinc.api import Model
  from spacy.errors import Errors
  from spacy.tokens import Doc
  from ..data_classes import TransformerData
label_desc: Use image node_id 5 for calling the TransformerListener obj's underlying member method code with example usage: obj.verify_inputs(inputs) and returns: True