class_docstr: Abstract base class for all token-level embeddings. Ever new type of word embedding must implement these methods.
code: def _everything_embedded(
      self, data_points: Sequence[Sentence]
  ) -> bool:
      for sentence in data_points:
          for token in sentence.tokens:
              if self.name not in token._embeddings:
                  return False
      return True
  
imports: import inspect
  import logging
  from abc import abstractmethod
  from typing import Any, Dict, Generic, List, Sequence, Type, Union
  import torch
  from torch.nn import Parameter, ParameterList
  import flair
  from flair.data import DT, Sentence
label_desc: Use image node_id 2 for calling the TokenEmbeddings obj's underlying member method code with example usage: obj._everything_embedded(data_points) and returns: True, False