def test_audio_array(document, comm):
data = np.random.randint(-100, 100, 100).astype('int16')
sample_rate = 10
buffer = BytesIO()
wavfile.write(buffer, sample_rate, data)
b64_encoded = b64encode(buffer.getvalue()).decode('utf-8')
audio = Audio(data, sample_rate=sample_rate)
model = audio.get_root(document, comm=comm)
model_value = model.value
assert model_value.split(',')[1] == b64_encoded
assert model.value.startswith('data:audio/wav;base64')
def test_numpy_audio(document, comm):
sps = 8000 # Samples per second
duration = 0.01 # Duration in seconds
modulator_frequency = 2.0
carrier_frequency = 120.0
modulation_index = 2.0
time = np.arange(sps * duration) / sps
modulator = np.sin(
2.0 * np.pi * modulator_frequency * time) * modulation_index
waveform = np.sin(2. * np.pi * (carrier_frequency * time + modulator))
waveform_quiet = waveform * 0.3
waveform_int = np.int16(waveform_quiet * 32767)
audio = Audio(waveform_int, sample_rate=sps)
model = audio.get_root(document, comm=comm)
assert model.value == 'data:audio/wav;base64,UklGRsQAAABXQVZFZm10IBAAAAABAAEAQB8AAIA+AAACABAAZGF0YaAAAAAAAF4ErQjgDOgQuBRDGH0bXB7WIOMifCScJT8mYyYHJi0l1yMLIs0fJR0dGr4WFBMqDw4LzQZ1Ahf+vfl59VfxZu2z6UrmN+OD4DjeXNz42g7aotm22UjaWNvi3ODeTOEe5E3nzuqU7pXywvYO+2v/yAMZCFAMXhA1FMoXDxv7HYMgoCJJJHolLyZlJhwmVSURJFciKiCTHZoaSBeqE8oP' # noqa
def test_audio_url(document, comm):
audio_url = 'http://ccrma.stanford.edu/~jos/mp3/pno-cs.mp3'
audio = Audio(audio_url)
model = audio.get_root(document, comm=comm)
assert audio_url == model.value
def test_local_audio(document, comm):
audio = Audio(str(ASSETS / 'mp3.mp3'))
model = audio.get_root(document, comm=comm)
assert model.value == 'data:audio/mp3;base64,/+MYxAAAAANIAAAAAExBTUUzLjk4LjIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' # noqa
def test_audio_autoplay(document, comm):
audio_url = 'http://ccrma.stanford.edu/~jos/mp3/pno-cs.mp3'
audio = Audio(audio_url, autoplay=True)
model = audio.get_root(document, comm=comm)
assert model.autoplay