docstr: Get a single 1-D vector representation for a given `sentence`.
  This function is workalike of the official fasttext's get_sentence_vector().
  
  Parameters
  ----------
  sentence : list of (str or int)
      list of words specified by string or int ids.
  
  Returns
  -------
  numpy.ndarray
      1-D numpy array representation of the `sentence`.
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code: def get_sentence_vector(self, sentence):
      """Get a single 1-D vector representation for a given `sentence`.
      This function is workalike of the official fasttext's get_sentence_vector().
  
      Parameters
      ----------
      sentence : list of (str or int)
          list of words specified by string or int ids.
  
      Returns
      -------
      numpy.ndarray
          1-D numpy array representation of the `sentence`.
  
      """
      return super(FastTextKeyedVectors, self).get_mean_vector(sentence)
  
imports: import logging
  import numpy
  from numpy import ones, vstack, float32
  import gensim.models._fasttext_bin
  from gensim.models.word2vec import Word2Vec
  from gensim.models.keyedvectors import KeyedVectors, prep_vectors
  from gensim import utils
  from gensim.utils import deprecated
  from gensim.models import keyedvectors
label_desc: Use image node_id 8 for calling the FastTextKeyedVectors obj's underlying member method code with example usage: obj.get_sentence_vector(sentence) and returns: super