def test_multiply_volume_audioclip(
sound_type,
factor,
duration,
start_time,
end_time,
):
if sound_type == "stereo":
make_frame = lambda t: np.array([
np.sin(440 * 2 * np.pi * t),
np.sin(160 * 2 * np.pi * t),
]).T.copy(order="C")
else:
make_frame = lambda t: [np.sin(440 * 2 * np.pi * t)]
clip = AudioClip(
make_frame,
duration=duration if duration else 0.1,
fps=22050,
)
clip_array = clip.to_soundarray()
clip_transformed = multiply_volume(
clip,
factor,
start_time=start_time,
end_time=end_time,
)
clip_transformed_array = clip_transformed.to_soundarray()
assert len(clip_transformed_array)
if hasattr(clip_array, "shape") and len(clip_array.shape) > 1:
# stereo clip
left_channel_transformed = clip_transformed_array[:, 0]
right_channel_transformed = clip_transformed_array[:, 1]
if start_time is None and end_time is None:
expected_left_channel_transformed = clip_array[:, 0] * factor
expected_right_channel_transformed = clip_array[:, 1] * factor
else:
start_time = convert_to_seconds(
start_time) if start_time else clip.start
end_time = convert_to_seconds(end_time) if end_time else clip.end
expected_left_channel_transformed = np.array([])
expected_right_channel_transformed = np.array([])
for i, frame in enumerate(clip_array):
t = i / clip.fps
transformed_frame = frame * (
factor if start_time <= t <= end_time else 1)
expected_left_channel_transformed = np.append(
expected_left_channel_transformed,
transformed_frame[0],
)
expected_right_channel_transformed = np.append(
expected_right_channel_transformed,
transformed_frame[1],
)
assert len(left_channel_transformed)
assert len(expected_left_channel_transformed)
assert np.array_equal(
left_channel_transformed,
expected_left_channel_transformed,
)
assert len(right_channel_transformed)
assert len(expected_right_channel_transformed)
assert np.array_equal(
right_channel_transformed,
expected_right_channel_transformed,
)
else:
# mono clip
if start_time is None and end_time is None:
expected_clip_transformed_array = clip_array * factor
else:
start_time = convert_to_seconds(
start_time) if start_time else clip.start
end_time = convert_to_seconds(end_time) if end_time else clip.end
expected_clip_transformed_array = np.array([])
for i, frame in enumerate(clip_array[0]):
t = i / clip.fps
transformed_frame = frame * (
factor if start_time <= t <= end_time else 1)
expected_clip_transformed_array = np.append(
expected_clip_transformed_array,
transformed_frame,
)
expected_clip_transformed_array = np.array([
expected_clip_transformed_array,
])
assert len(expected_clip_transformed_array)
assert np.array_equal(
expected_clip_transformed_array,
clip_transformed_array,
)
def test_audio_delay(stereo_wave, duration, offset, n_repeats, decay):
"""Check that creating a short pulse of audio, the delay converts to a sound
with the volume level in the form `-_-_-_-_-`, being `-` pulses expressed by
`duration` argument and `_` being chunks of muted audio. Keep in mind that this
way of test the FX only works if `duration <= offset`, but as does not make sense
create a delay with `duration > offset`, this is enough for our purposes.
Note that decayment values are not tested here, but are created using
`multiply_volume`, should be OK.
"""
# limits of this test
assert n_repeats > 0 # some repetition, if not does not make sense
assert duration <= offset # avoid wave distortion
assert not offset * 1000000 % 2 # odd offset -> no accurate muted chunk size
# stereo audio clip
clip = AudioClip(
make_frame=stereo_wave(left_freq=440, right_freq=880),
duration=duration,
fps=44100,
)
clip_array = clip.to_soundarray()
# stereo delayed clip
delayed_clip = audio_delay(clip,
offset=offset,
n_repeats=n_repeats,
decay=decay)
delayed_clip_array = delayed_clip.to_soundarray()
# size of chunks with audios
sound_chunk_size = clip_array.shape[0]
# muted chunks size
muted_chunk_size = int(
sound_chunk_size * offset / duration) - sound_chunk_size
zeros_expected_chunk_as_muted = np.zeros((muted_chunk_size, 2))
decayments = np.linspace(1, max(0, decay), n_repeats)
for i in range(n_repeats +
1): # first clip, is not part of the repeated ones
if i == n_repeats:
# the delay ends in sound, so last muted chunk does not exists
break
# sound chunk
sound_start_at = i * sound_chunk_size + i * muted_chunk_size
sound_ends_at = sound_start_at + sound_chunk_size
# first sound chunk
if i == 0:
assert np.array_equal(
delayed_clip_array[:, :][sound_start_at:sound_ends_at],
multiply_volume(clip, decayments[i]).to_soundarray(),
)
# muted chunk
mute_starts_at = sound_ends_at + 1
mute_ends_at = mute_starts_at + muted_chunk_size
assert np.array_equal(
delayed_clip_array[:, :][mute_starts_at:mute_ends_at],
zeros_expected_chunk_as_muted,
)
# check muted bounds
assert not np.array_equal(
delayed_clip_array[:, :][mute_starts_at - 1:mute_ends_at],
zeros_expected_chunk_as_muted,
)
assert not np.array_equal(
delayed_clip_array[:, :][mute_starts_at:mute_ends_at + 1],
zeros_expected_chunk_as_muted,
)
def test_audio_normalize_muted():
z_array = np.array([0.0])
make_frame = lambda t: z_array
clip = AudioClip(make_frame, duration=1, fps=44100)
clip = audio_normalize(clip)
assert np.array_equal(clip.to_soundarray(), z_array)