class_docstr: Test the TensorFlowLingvoASR estimator.
code: def test_pad_audio_input(self, art_warning):
      try:
          test_input = np.array(
              [np.array([1]), np.array([2] * 480)], dtype=object
          )
          test_mask = np.array([[True] + [False] * 479, [True] * 480])
          test_output = np.array([[1] + [0] * 479, [2] * 480])
  
          lingvo = TensorFlowLingvoASR()
          output, mask, mask_freq = lingvo._pad_audio_input(test_input)
          assert_array_equal(test_output, output)
          assert_array_equal(test_mask, mask)
      except ARTTestException as e:
          art_warning(e)
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_equal
  from scipy.io.wavfile import read
  from art.estimators.speech_recognition.speech_recognizer import SpeechRecognizerMixin
  from art.estimators.speech_recognition.tensorflow_lingvo import TensorFlowLingvoASR
  from art.estimators.tensorflow import TensorFlowV2Estimator
  from art.utils import get_file
  from tests.utils import ARTTestException
label_desc: Use image node_id 6 for calling the TestTensorFlowLingvoASR obj's underlying member method code with example usage: obj.test_pad_audio_input(art_warning) without return types