class_docstr: Represents a value of a :class:`.CustomEntity` with potential synonyms
  
  Attributes:
      value (str): entity value
      synonyms (list of str): The values to remap to the utterance value
      
class_docstr_tok: ["Represents","a","value","of","a",":","class",":","`",".CustomEntity","`","with","potential","synonyms","Attributes",":","value","(","str",")",":","entity","value","synonyms","(","list","of","str",")",":","The","values","to","remap","to","the","utterance","value"]
code: def __init__(self, value, synonyms=None):
      self.value = value
      if synonyms is None:
          synonyms = []
      self.synonyms = synonyms
  
file_path: snips-nlu/snips_nlu/dataset/entity.py
imports: from __future__ import unicode_literals
  from builtins import str
  from io import IOBase
  from snips_nlu.constants import AUTOMATICALLY_EXTENSIBLE, DATA, MATCHING_STRICTNESS, SYNONYMS, USE_SYNONYMS, VALUE
  from snips_nlu.exceptions import EntityFormatError
label_desc: Use image node_id 1 to create a new EntityUtterance object from inherited base classes: object with example: obj = EntityUtterance(value, synonyms)