def test_transcribed_audio_stim():
audio = AudioStim(join(get_test_data_path(), 'audio', "barber_edited.wav"))
text_file = join(get_test_data_path(), 'text', "wonderful_edited.srt")
text = ComplexTextStim(text_file)
stim = TranscribedAudioCompoundStim(audio=audio, text=text)
assert isinstance(stim.audio, AudioStim)
assert isinstance(stim.complex_text, ComplexTextStim)
def test_mean_amplitude_extractor():
audio = AudioStim(join(AUDIO_DIR, 'barber_edited.wav'))
text_file = join(get_test_data_path(), 'text', 'wonderful_edited.srt')
text = ComplexTextStim(text_file)
stim = TranscribedAudioCompoundStim(audio=audio, text=text)
ext = MeanAmplitudeExtractor()
result = ext.transform(stim).to_df()
targets = [-0.154661, 0.121521]
assert np.allclose(result['mean_amplitude'], targets)
