docstr: Get the vector representation of (possibly multi-term) tag.
  
  Parameters
  ----------
  tag : {str, int, list of str, list of int}
      The tag (or tags) to be looked up in the model.
  
  Returns
  -------
  np.ndarray
      The vector representations of each tag as a matrix (will be 1D if `tag` was a single tag)
code: def __getitem__(self, tag):
      """Get the vector representation of (possibly multi-term) tag.
  
      Parameters
      ----------
      tag : {str, int, list of str, list of int}
          The tag (or tags) to be looked up in the model.
  
      Returns
      -------
      np.ndarray
          The vector representations of each tag as a matrix (will be 1D if `tag` was a single tag)
  
      """
      if isinstance(
          tag,
          (
              str,
              int,
              integer,
          ),
      ):
          if tag not in self.wv:
              return self.dv[tag]
          return self.wv[tag]
      return vstack([self[i] for i in tag])
  
imports: import logging
  import os
  from collections import namedtuple, defaultdict
  from collections.abc import Iterable
  from timeit import default_timer
  from dataclasses import dataclass
  from numpy import zeros, float32, vstack, integer, dtype
  import numpy
  from gensim import utils, matutils
  from gensim.utils import deprecated
  from gensim.models import Word2Vec, FAST_VERSION
  from gensim.models.keyedvectors import KeyedVectors, pseudorandom_weak_vector
label_desc: Use image node_id 16 for calling the Doc2Vec obj's underlying member method code with example usage: obj.__getitem__(tag) and returns: vstack, self, self