code: def gen_test_get_vector(self, kwargs):
      # Confirm if no subwords, OOV is zero, confirm min=10 means words < 10 get zeros
  
      f = build_unsupervised_model(get_random_data(100), kwargs)
      words, _ = f.get_words(include_freq=True)
      words += get_random_words(100)
      for word in words:
          f.get_word_vector(word)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  from fasttext import train_supervised
  from fasttext import train_unsupervised
  from fasttext import util
  import fasttext
  import os
  import subprocess
  import unittest
  import tempfile
  import random
  import sys
  import copy
  import numpy
  from fasttext.tests.test_configurations import get_supervised_models
label_desc: Use image node_id 1 for calling the TestFastTextUnitPy obj's underlying member method code with example usage: obj.gen_test_get_vector(kwargs) without return types