code: def __getitem__(self, edge) -> np.ndarray:
      if not isinstance(edge, tuple) or not len(edge) == 2:
          raise ValueError("edge must be a tuple of two nodes")
  
      if edge[0] not in getattr(self.kv, self.INDEX_MAPPING_KEY):
          raise KeyError(
              "node {} does not exist in given KeyedVectors".format(
                  edge[0]
              )
          )
  
      if edge[1] not in getattr(self.kv, self.INDEX_MAPPING_KEY):
          raise KeyError(
              "node {} does not exist in given KeyedVectors".format(
                  edge[1]
              )
          )
  
      return self._embed(edge)
  
imports: from abc import ABC, abstractmethod
  from functools import reduce
  from itertools import combinations_with_replacement
  import numpy
  import pkg_resources
  from gensim.models import KeyedVectors
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling the EdgeEmbedder obj's underlying member method code with example usage: obj.__getitem__(edge) and returns: self