def test_create_relative_ahdsr_envelope(
duration: float, velocity: float, frame_rate: int,
attack_to_ahds_ratio: float, attack_degree: float,
hold_to_ahds_ratio: float,
decay_to_ahds_ratio: float, decay_degree: float,
sustain_level: float,
max_release_duration: float, release_duration_on_velocity_order: float,
release_degree: float,
peak_value: float, ratio_at_zero_velocity: float,
envelope_values_on_velocity_order: float,
expected: np.ndarray
) -> None:
"""Test `create_relative_ahdsr_envelope` function."""
event = Event(
instrument='any_instrument',
start_time=0,
duration=duration,
frequency=440,
velocity=velocity,
effects='',
frame_rate=frame_rate
)
result = create_relative_ahdsr_envelope(
event,
attack_to_ahds_ratio, attack_degree, hold_to_ahds_ratio,
decay_to_ahds_ratio, decay_degree, sustain_level,
max_release_duration, release_duration_on_velocity_order,
release_degree,
peak_value, ratio_at_zero_velocity, envelope_values_on_velocity_order
)
np.testing.assert_almost_equal(result, expected)
def convert_tsv_to_events(
input_path: str, settings: Dict[str, Any]
) -> List[Event]:
"""
Collect sound events (loosely speaking, played notes) from a TSV file.
:param input_path:
path to TSV file with rows representing events
:param settings:
global settings for the output track
:return:
sound events
"""
raw_events = []
with open(input_path) as input_file:
column_names = input_file.readline().rstrip(os.linesep).split('\t')
for line in input_file.readlines():
raw_events.append(dict(zip(column_names, line.rstrip(os.linesep).split('\t'))))
raw_events = set_types(raw_events)
events = []
fields_to_use = [
'instrument',
'start_time',
'duration',
'frequency',
'velocity',
'effects'
]
for raw_event in raw_events:
raw_event = {k: v for k, v in raw_event.items() if k in fields_to_use}
event = Event(frame_rate=settings['frame_rate'], **raw_event)
events.append(event)
return events
def test_filter_relative_frequencies(
frequencies: List[float], frame_rate: int,
min_frequency_ratio: float, max_frequency_ratio: float,
invert: bool, order: int, spectrogram_params: Dict[str, Any],
expected: np.ndarray
) -> None:
"""Test `filter_relative_frequencies` function."""
waves = [
generate_mono_wave(
'sine', frequency, np.ones(frame_rate), frame_rate
)
for frequency in frequencies
]
sound = sum(waves)
sound = np.vstack((sound, sound))
event = Event(
instrument='any_instrument',
start_time=0,
duration=1,
frequency=min(frequencies),
velocity=1,
effects='',
frame_rate=frame_rate
)
sound = filter_relative_frequencies(
sound, event, min_frequency_ratio, max_frequency_ratio, invert, order
)
spc = spectrogram(sound[0], frame_rate, **spectrogram_params)[2]
result = spc.sum(axis=1)[:len(expected)]
np.testing.assert_almost_equal(result, expected)
def test_create_constant_envelope(duration: float, frame_rate: int,
value: float, expected: np.ndarray) -> None:
"""Test `create_constant_envelope` function."""
event = Event(instrument='any_instrument',
start_time=0.0,
duration=duration,
frequency=440,
velocity=1.0,
effects='',
frame_rate=frame_rate)
result = create_constant_envelope(event, value)
np.testing.assert_equal(result, expected)
def test_apply_overdrive(sound: np.ndarray, frame_rate: int,
fraction_to_clip: float, strength: float,
expected: np.ndarray) -> None:
"""Test `apply_overdrive` function."""
event = Event(instrument='any_instrument',
start_time=0,
duration=1,
frequency=440,
velocity=1,
effects='',
frame_rate=frame_rate)
result = apply_overdrive(sound, event, fraction_to_clip, strength)
np.testing.assert_almost_equal(result, expected)
def test_apply_tremolo(sound: np.ndarray, frame_rate: int,
sound_frequency: float, kind: str,
kwargs: Dict[str, Any], expected: np.ndarray) -> None:
"""Test `apply_tremolo` function."""
event = Event(instrument='any_instrument',
start_time=0,
duration=1,
frequency=sound_frequency,
velocity=1,
effects='',
frame_rate=frame_rate)
result = apply_tremolo(sound, event, kind, **kwargs)
np.testing.assert_almost_equal(result, expected)
def test_apply_chorus(sound: np.ndarray, frame_rate: int,
original_sound_gain: float,
copies_params: List[Dict[str, Any]],
expected: np.ndarray) -> None:
"""Test `apply_chorus` function."""
event = Event(instrument='any_instrument',
start_time=0,
duration=1,
frequency=1,
velocity=1,
effects='',
frame_rate=frame_rate)
result = apply_chorus(sound, event, original_sound_gain, copies_params)
np.testing.assert_equal(result, expected)
def test_apply_compressor(sound: np.ndarray, frame_rate: int, frequency: float,
threshold: float, quantile: float,
chunk_size_in_cycles: float,
expected: np.ndarray) -> None:
"""Test `apply_compressor` function."""
event = Event(instrument='any_instrument',
start_time=0,
duration=sound.shape[1] / frame_rate,
frequency=frequency,
velocity=1,
effects='',
frame_rate=frame_rate)
result = apply_compressor(sound, event, threshold, quantile,
chunk_size_in_cycles)
np.testing.assert_almost_equal(result, expected)
def test_create_user_defined_envelope(duration: float, velocity: float,
frame_rate: int, parts: List[Dict[str,
Any]],
ratio_at_zero_velocity: float,
envelope_values_on_velocity_order: float,
expected: np.ndarray) -> None:
"""Test `create_user_defined_envelope` function."""
event = Event(instrument='any_instrument',
start_time=0,
duration=duration,
frequency=440,
velocity=velocity,
effects='',
frame_rate=frame_rate)
result = create_user_defined_envelope(event, parts, ratio_at_zero_velocity,
envelope_values_on_velocity_order)
np.testing.assert_almost_equal(result, expected)
def test_apply_phaser(frequency: float, frame_rate: int, kind: str) -> None:
"""Test that `apply_phaser` function runs without failures."""
sound = generate_mono_wave(
'sine', frequency, np.ones(frame_rate), frame_rate
)
sound = np.vstack((sound, sound))
event = Event(
instrument='any_instrument',
start_time=0,
duration=1,
frequency=frequency,
velocity=1,
effects='',
frame_rate=frame_rate
)
result = apply_phaser(sound, event, kind)
assert np.all(np.isfinite(result))
def test_apply_amplitude_normalization(sound: np.ndarray, velocity: float,
value_at_max_velocity: float,
quantile: float,
value_on_velocity_order: float,
value_at_zero_velocity: float,
expected: np.ndarray) -> None:
"""Test `apply_amplitude_normalization` function."""
event = Event(instrument='any_instrument',
start_time=0,
duration=1,
frequency=440,
velocity=velocity,
effects='',
frame_rate=8)
result = apply_amplitude_normalization(sound, event, value_at_max_velocity,
quantile, value_on_velocity_order,
value_at_zero_velocity)
np.testing.assert_equal(result, expected)
def test_apply_envelope_shaper(sound: np.ndarray, frame_rate: int,
frequency: float, envelope_params: Dict[str,
Any],
quantile: float, chunk_size_in_cycles: float,
initial_rescaling_ratio: float,
forced_fading_ratio: float,
expected: np.ndarray) -> None:
"""Test `apply_envelope_shaper` function."""
event = Event(instrument='any_instrument',
start_time=0,
duration=sound.shape[1] / frame_rate,
frequency=frequency,
velocity=1,
effects='',
frame_rate=frame_rate)
result = apply_envelope_shaper(sound, event, envelope_params, quantile,
chunk_size_in_cycles,
initial_rescaling_ratio,
forced_fading_ratio)
np.testing.assert_almost_equal(result, expected)
def convert_midi_to_events(midi_path: str, settings: Dict[str,
Any]) -> List[Event]:
"""
Collect sound events (loosely speaking, played notes) from a MIDI file.
:param midi_path:
path to source MIDI file
:param settings:
global settings for the output track
:return:
sound events
"""
midi_settings = settings['midi']
if 'track_name_to_instrument' in midi_settings:
instruments_mapping = midi_settings['track_name_to_instrument']
effects_mapping = midi_settings.get('track_name_to_effects', {})
key_fn = lambda instrument: instrument.name
elif 'program_to_instrument' in midi_settings:
instruments_mapping = midi_settings['program_to_instrument']
effects_mapping = midi_settings.get('program_to_effects', {})
key_fn = lambda instrument: instrument.program
else:
raise RuntimeError("MIDI config file lacks required sections.")
midi_data = pretty_midi.PrettyMIDI(midi_path)
events = []
for pretty_midi_instrument in midi_data.instruments:
key = key_fn(pretty_midi_instrument)
sinethesizer_instrument = instruments_mapping.get(key)
if sinethesizer_instrument is None:
continue
for note in pretty_midi_instrument.notes:
event = Event(instrument=sinethesizer_instrument,
start_time=note.start,
duration=note.end - note.start,
frequency=pretty_midi.note_number_to_hz(note.pitch),
velocity=note.velocity / MAX_MIDI_VALUE,
effects=effects_mapping.get(key, ''),
frame_rate=settings['frame_rate'])
events.append(event)
return events
def test_apply_equalizer(frequencies: List[float], frame_rate: int, kind: str,
kwargs: Dict[str, Any], spectrogram_params: Dict[str,
Any],
expected: np.ndarray) -> None:
"""Test `apply_equalizer` function."""
waves = [
generate_mono_wave('sine', frequency, np.ones(frame_rate), frame_rate)
for frequency in frequencies
]
sound = sum(waves)
sound = np.vstack((sound, sound))
event = Event(instrument='any_instrument',
start_time=0,
duration=1,
frequency=min(frequencies),
velocity=1,
effects='',
frame_rate=frame_rate)
sound = apply_equalizer(sound, event, kind, **kwargs)
spc = spectrogram(sound[0], frame_rate, **spectrogram_params)[2]
result = spc.sum(axis=1)[:len(expected)]
np.testing.assert_almost_equal(result, expected)
def test_create_exponentially_decaying_envelope(
duration: float, frame_rate: int, attack_to_ad_max_ratio: float,
max_attack_duration: float, attack_degree: float,
decay_half_life: Optional[float],
decay_half_life_ratio: Optional[float], max_release_duration: float,
release_duration_on_velocity_order: float, release_degree: float,
peak_value: float, ratio_at_zero_velocity: float,
envelope_values_on_velocity_order: float,
expected: np.ndarray) -> None:
"""Test `create_exponentially_decaying_envelope` function."""
event = Event(instrument='any_instrument',
start_time=0.0,
duration=duration,
frequency=440,
velocity=1.0,
effects='',
frame_rate=frame_rate)
result = create_exponentially_decaying_envelope(
event, attack_to_ad_max_ratio, max_attack_duration, attack_degree,
decay_half_life, decay_half_life_ratio, max_release_duration,
release_duration_on_velocity_order, release_degree, peak_value,
ratio_at_zero_velocity, envelope_values_on_velocity_order)
np.testing.assert_almost_equal(result, expected)
def test_create_trapezoid_envelope(
duration: float, velocity: float, frame_rate: int,
attack_share: float, attack_degree: float,
decay_share: float, decay_degree: float,
peak_value: float, ratio_at_zero_velocity: float,
envelope_values_on_velocity_order: float,
expected: np.ndarray
) -> None:
"""Test `create_trapezoid_envelope` function."""
event = Event(
instrument='any_instrument',
start_time=0,
duration=duration,
frequency=440,
velocity=velocity,
effects='',
frame_rate=frame_rate
)
result = create_trapezoid_envelope(
event,
attack_share, attack_degree, decay_share, decay_degree,
peak_value, ratio_at_zero_velocity, envelope_values_on_velocity_order
)
np.testing.assert_almost_equal(result, expected)
@pytest.mark.parametrize(
"sound, event, automated_effect_name, break_points, expected",
[
(
# `sound`
np.array([
[1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
]),
# `event`
Event(instrument='any_instrument',
start_time=0,
duration=1,
frequency=440,
velocity=1,
effects='',
frame_rate=8),
# `automated_effect_name`
'panning',
# `break_points`
[
{
'relative_position': 0,
'left_amplitude_ratio': 1.0,
'right_amplitude_ratio': 1.0,
},
{
'relative_position': 0.25,
'left_amplitude_ratio': 0.25,
from sinethesizer.synth.event_to_amplitude_factor import (
compute_amplitude_factor_as_power_of_velocity)
@pytest.mark.parametrize(
"timeline, event, instruments_registry, frame_rate, expected",
[
(
# `timeline`
np.array([[1, 2, 3, 4, 5, 6, 7, 8, 9],
[1, 2, 3, -4, -5, -6, -7, -8, -9]]),
# `event`
Event(instrument='sine',
start_time=2,
duration=1,
frequency=1,
velocity=1,
effects='',
frame_rate=4),
# `instruments_registry`
{
'sine':
Instrument(partials=[
Partial(wave=ModulatedWave(
waveform='sine',
amplitude_envelope_fn=functools.partial(
create_constant_envelope, value=1),
phase=0,
amplitude_modulator=None,
phase_modulator=None,
quasiperiodic_bandwidth=0,
@pytest.mark.parametrize(
"sound, event, left_amplitude_ratio, right_amplitude_ratio, expected",
[
(
# `sound`
np.array([
[1.0, 2, 3],
[2, 3, 4],
]),
# `event`
Event(instrument='any_instrument',
start_time=0.0,
duration=1.0,
frequency=440.0,
velocity=0.0,
effects='',
frame_rate=20),
# `left_amplitude_ratio`
0.5,
# `right_amplitude_ratio`
0.1,
# `expected`
np.array([
[0.5, 1.0, 1.5],
[0.2, 0.3, 0.4],
]),
),
])
def test_apply_panning(sound: np.ndarray, event: Event,
from sinethesizer.synth.core import Event
@pytest.mark.parametrize("tsv_content, settings, expected", [
([
"instrument\tstart_time\tduration\tfrequency\tvelocity\teffects",
"sine\t1\t1\tA0\t1\t",
'sine\t2\t1\t1\t1\t[{"name": "tremolo", "frequency": 1}]'
], {
'frame_rate': 4,
'trailing_silence': 1,
}, [
Event(instrument='sine',
start_time=1.0,
duration=1.0,
frequency=27.5,
velocity=1.0,
effects='',
frame_rate=4),
Event(instrument='sine',
start_time=2.0,
duration=1.0,
frequency=1.0,
velocity=1.0,
effects='[{"name": "tremolo", "frequency": 1}]',
frame_rate=4),
]),
([
"instrument\tstart_time\tduration\tfrequency\tvelocity\teffects\textra_column",
"sine\t1\t1\tA0\t1\t\tsomething",
'sine\t2\t1\t1\t1\t[{"name": "tremolo", "frequency": 1}]\tsomething'
],
# `settings`
{
'frame_rate': 4,
'trailing_silence': 1,
'midi': {
'program_to_instrument': {0: 'sine'}
},
},
# `expected`
[
Event(
instrument='sine',
start_time=1.0,
duration=1.0,
frequency=27.5, # A0
velocity=1.0,
effects='',
frame_rate=4
),
Event(
instrument='sine',
start_time=2.0,
duration=1.0,
frequency=34.64782887210901, # C#1
velocity=1.0,
effects='',
frame_rate=4
),
]
),
