docstr: Check if a key is in the vectors table.
  
  key (unicode / int): The key to look up.
  RETURNS (bool): Whether the key is in the table.
docstr_tok: ["Check","if","a","key","is","in","the","vectors","table",".","key","(","unicode","\/","int",")",":","The","key","to","look","up",".","RETURNS","(","bool",")",":","Whether","the","key","is","in","the","table","."]
code: def __contains__(self, key: Union[str, int]) -> bool:
      """Check if a key is in the vectors table.
  
      key (unicode / int): The key to look up.
      RETURNS (bool): Whether the key is in the table.
      """
      key = self.ensure_int_key(key)
      return key in self.vectors
  
imports: from typing import Tuple, List, Union, Sequence, Dict, Callable, Any
  from pathlib import Path
  from spacy.vectors import Vectors
  from spacy.strings import StringStore
  from spacy.util import SimpleFrozenDict
  from thinc.api import NumpyOps
  import numpy
  import srsly
  from .util import registry, cosine_similarity
label_desc: Use image node_id 5 for calling the Sense2Vec obj's underlying member method code with example usage: obj.__contains__(key) and returns: unknown