class_docstr: Transforms an input by replacing its words with synonyms in the word
  embedding space.
  
  Args:
      max_candidates (int): maximum number of synonyms to pick
      embedding (textattack.shared.AbstractWordEmbedding): Wrapper for word embedding
  >>> from textattack.transformations import WordSwapEmbedding
  >>> from textattack.augmentation import Augmenter
  
  >>> transformation = WordSwapEmbedding()
  >>> augmenter = Augmenter(transformation=transformation)
  >>> s = 'I am fabulous.'
  >>> augmenter.augment(s)
code: def extra_repr_keys(self):
      return ["max_candidates", "embedding"]
  
file_path: TextAttack/textattack/transformations/word_swaps/word_swap_embedding.py
imports: from textattack.shared import AbstractWordEmbedding, WordEmbedding
  from .word_swap import WordSwap
label_desc: Use image node_id 3 for calling the WordSwapEmbedding obj's underlying member method code with example usage: obj.extra_repr_keys() and returns: list