code: def gen_test_supervised_predict(self, kwargs):
      # Confirm number of labels, confirm labels for easy dataset
      # Confirm 1 label and 0 label dataset
  
      f = build_supervised_model(get_random_data(100), kwargs)
      words = get_random_words(100)
      for k in [1, 2, 5]:
          for w in words:
              labels, probs = f.predict(w, k)
          data = get_random_data(100)
          for line in data:
              labels, probs = f.predict(line, k)
  
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 4 for calling the TestFastTextUnitPy obj's underlying member method code with example usage: obj.gen_test_supervised_predict(kwargs) without return types