class_docstr: A constraint on the distance between two sentences' thought vectors.
  
  Args:
      word_embedding (textattack.shared.AbstractWordEmbedding): The word embedding to use
class_docstr_tok: ["A","constraint","on","the","distance","between","two","sentences","'","thought","vectors",".","Args",":","word_embedding","(","textattack.shared.AbstractWordEmbedding",")",":","The","word","embedding","to","use"]
docstr: Set the extra representation of the constraint using these keys.
docstr_tok: ["Set","the","extra","representation","of","the","constraint","using","these","keys","."]
code: def extra_repr_keys(self):
      """Set the extra representation of the constraint using these keys."""
      return ["word_embedding"] + super().extra_repr_keys()
  
file_path: TextAttack/textattack/constraints/semantics/sentence_encoders/thought_vector.py
imports: import functools
  import torch
  from textattack.shared import AbstractWordEmbedding, WordEmbedding, utils
  from .sentence_encoder import SentenceEncoder
label_desc: Use image node_id 5 for calling the ThoughtVector obj's underlying member method code with example usage: obj.extra_repr_keys() and returns: unknown