def mk_envelope(
voice: old.Melody,
shadow_time: float,
duration: float,
average_volume: float,
min_volume: float,
max_volume: float,
make_envelope: bool,
anticipation_time: float,
overlaying_time: float,
) -> interpolations.InterpolationLine:
volume_difference = max_volume - min_volume
max_volume_of_melody = max(voice.volume)
def detect_volume(tone_volume: float) -> float:
percentage = tone_volume / max_volume_of_melody
return (percentage * volume_difference) + min_volume
if make_envelope:
events = tuple(
(float(tone.delay) + anticipation_time, detect_volume(tone.volume))
for tone in voice.convert2absolute()
)
envelope = interpolations.ShadowInterpolationLine(
average_volume, shadow_time, events, duration
)
else:
envelope = interpolations.InterpolationLine(
(
interpolations.FloatInterpolationEvent(duration, max_volume),
interpolations.FloatInterpolationEvent(0, max_volume),
)
)
return envelope
def make(name: str = "ONE", gender=False, group=0, sub_group0=1):
return (
segments.Silence(name="{}_start_silence".format(name), duration=18),
segments.Chord(
"{}_Speech0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1), ji.r(4, 3)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=34,
start=0,
dynamic_range_of_voices=(0.8, 1),
anticipation_time=2.25,
overlaying_time=3.25,
speech_init_attributes={
"speech0": {
"start": 0,
"duration": 35,
"sound_engine": speech.BrokenRadio(
(globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,),
duration=32,
volume=0.42,
activity_lv_per_effect={
"original": 8,
"harmonizer": 6,
"filter": 10,
"noise": 10,
"lorenz": 10,
"chenlee": 6,
},
level_per_effect={
"original": infit.Gaussian(0.4, 0.05),
"filter": infit.Gaussian(10.2, 2.25),
"harmonizer": infit.Gaussian(0.7, 0.15),
"chenlee": infit.Gaussian(0.1, 0.02),
"lorenz": infit.Gaussian(0.4, 0.02),
"noise": infit.Gaussian(0.32, 0.04),
},
transpo_maker=infit.Uniform(0.14, 0.8),
filter_freq_maker=infit.Gaussian(110, 50),
filter_q_maker=infit.Gaussian(5, 1),
curve=interpolations.InterpolationLine(
[
interpolations.FloatInterpolationEvent(0.25, 0.01),
interpolations.FloatInterpolationEvent(0.8, 1),
interpolations.FloatInterpolationEvent(0.3, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]
),
),
},
"speech1": {
"start": 0.1,
"duration": 35,
"sound_engine": speech.BrokenRadio(
(globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,),
duration=32,
volume=0.3,
activity_lv_per_effect={
"original": 6,
"harmonizer": 4,
"filter": 9,
"noise": 9,
"lorenz": 8,
"chenlee": 7,
},
level_per_effect={
"original": infit.Gaussian(0.4, 0.05),
"filter": infit.Gaussian(10.2, 2.25),
"harmonizer": infit.Gaussian(0.7, 0.15),
"chenlee": infit.Gaussian(0.1, 0.02),
"lorenz": infit.Gaussian(0.4, 0.02),
"noise": infit.Gaussian(0.32, 0.04),
},
transpo_maker=infit.Uniform(1.14, 1.5),
filter_freq_maker=infit.Gaussian(200, 50),
filter_q_maker=infit.Gaussian(5, 1),
curve=interpolations.InterpolationLine(
[
interpolations.FloatInterpolationEvent(0.3, 0.01),
interpolations.FloatInterpolationEvent(0.8, 1),
interpolations.FloatInterpolationEvent(0.3, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]
),
),
},
"speech2": {
"start": 0.075,
"duration": 35,
"sound_engine": speech.BrokenRadio(
(globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,),
duration=32,
volume=0.34,
activity_lv_per_effect={
"original": 6,
"harmonizer": 4,
"filter": 9,
"noise": 9,
"lorenz": 8,
"chenlee": 7,
},
level_per_effect={
"original": infit.Gaussian(0.4, 0.05),
"filter": infit.Gaussian(10.2, 2.25),
"harmonizer": infit.Gaussian(0.7, 0.15),
"chenlee": infit.Gaussian(0.1, 0.02),
"lorenz": infit.Gaussian(0.4, 0.02),
"noise": infit.Gaussian(0.32, 0.04),
},
transpo_maker=infit.Uniform(1.14, 1.5),
filter_freq_maker=infit.Gaussian(200, 50),
filter_q_maker=infit.Gaussian(5, 1),
curve=interpolations.InterpolationLine(
[
interpolations.FloatInterpolationEvent(0.4, 0.01),
interpolations.FloatInterpolationEvent(0.8, 1),
interpolations.FloatInterpolationEvent(0.3, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]
),
),
},
},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
include_voices=False,
),
)
"chenlee": 5,
},
level_per_effect={
"original": infit.Gaussian(0.1, 0.05),
"filter": infit.Gaussian(16.2, 3.25),
"harmonizer": infit.Gaussian(0.5, 0.15),
"chenlee": infit.Gaussian(0.09, 0.02),
"lorenz": infit.Gaussian(0.2, 0.02),
"noise": infit.Gaussian(0.22, 0.04),
},
transpo_maker=infit.Uniform(0.24, 0.9),
filter_freq_maker=infit.Gaussian(110, 50),
filter_q_maker=infit.Gaussian(25, 5),
curve=interpolations.InterpolationLine(
[
interpolations.FloatInterpolationEvent(0.25, 0.01),
interpolations.FloatInterpolationEvent(0.8, 1),
interpolations.FloatInterpolationEvent(0.3, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]
),
),
},
"speech2": {
"start": 1.29,
"duration": 80,
"sound_engine": speech.BrokenRadio(
("pbIII/samples/speech/sliced/fisher/0/",),
duration=80,
volume=0.25,
activity_lv_per_effect={
def make(name: str = "TWO", gender=False, group=0, sub_group0=1):
return (segments.MelodicCP(
"{}_0".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(11, 1),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.4),
]),
volume_envelope_per_track={
"voiceP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(2, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"divaP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(2, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"voiceP1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
"voiceP2":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(3, 1),
ji.r(5, 4)),
random_seed=1000,
group=(group, sub_group0, 0),
action_per_voice=(0.94, 0.93),
sound_per_voice=(0.85, 0.85),
phrases=(0, ),
melody_register=1,
melodic_weight=0,
weight_range=(0.3, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=13,
start=0,
dynamic_range_of_voices=(0.4, 0.6),
anticipation_time=2.7,
overlaying_time=2.2,
voices_overlaying_time=3.5,
pteq_engine_per_voice=(
pteq.mk_super_soft_pte(
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.4),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle((2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.75, 0.225),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Gaussian(3, 5),
resonance_filter_bandwidth=infit.Gaussian(0.8, 0.5),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.3),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Gaussian(3, 4),
resonance_filter_bandwidth=infit.Uniform(0.5, 1),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.1),
),
)),
likelihood_range=(0.6, 0.1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
chord=infit.Cycle((harmony.find_harmony(name="B",
gender=gender), )),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((2, 4, 8, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 4, 2, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.1, 0.5),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=tuple([]),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.45,
radio_shadow_time=0.08,
radio_min_volume=0.955,
), )
def __init__(
self,
sources: tuple,
order_per_source: tuple = None,
skip_n_samples_per_source: tuple = None,
source_decider: tuple = None,
activity_lv_per_effect: dict = {},
level_per_effect: dict = {},
volume: float = 1,
curve: interpolations.InterpolationLine = interpolations.
InterpolationLine([
interpolations.FloatInterpolationEvent(0.15, 0.5),
interpolations.FloatInterpolationEvent(0.8, 1),
interpolations.FloatInterpolationEvent(0.2, 1),
interpolations.FloatInterpolationEvent(0, 0.2),
]),
duration: float = 10,
interlocking: str = "parallel",
pause_per_event: infit.InfIt = infit.Cycle((0, )),
filter_freq_maker: infit.InfIt = infit.Cycle((200, )),
filter_q_maker: infit.InfIt = infit.Cycle((0.5, )),
rm_freq_maker: infit.InfIt = infit.Cycle((700, )),
transpo_maker: infit.InfIt = infit.Cycle((-3, -1, -2, -5)),
chenlee_chaos_maker: infit.InfIt = infit.Cycle((0.75, 1, 0.5, 0.8)),
chenlee_pitch_maker: infit.InfIt = infit.Cycle((0.5, 0.75, 0.66)),
lorenz_chaos_maker: infit.InfIt = infit.Cycle((0.5, 0.7, 0.6)),
lorenz_pitch_maker: infit.InfIt = infit.Cycle((0.5, 0.6, 0.55)),
) -> None:
super().__init__()
if order_per_source is None:
order_per_source = tuple("original" for i in sources)
if source_decider is None:
source_decider = infit.Cycle(range(len(sources)))
if skip_n_samples_per_source is None:
skip_n_samples_per_source = tuple(0 for i in sources)
self.sources = sources
self.interlocking = interlocking
self.pause_per_event = pause_per_event
self.order_per_source = order_per_source
self.skip_n_samples_per_source = skip_n_samples_per_source
self.volume = volume
self.curve = curve
self.__duration = duration
self.source_decider = source_decider
self.filter_q_maker = filter_q_maker
self.filter_freq_maker = filter_freq_maker
self.rm_freq_maker = rm_freq_maker
self.transpo_maker = transpo_maker
self.chenlee_chaos_maker = chenlee_chaos_maker
self.chenlee_pitch_maker = chenlee_pitch_maker
self.lorenz_chaos_maker = lorenz_chaos_maker
self.lorenz_pitch_maker = lorenz_pitch_maker
for effect in self.__effects:
if effect not in activity_lv_per_effect:
activity_lv_per_effect.update({effect: 0})
if effect not in level_per_effect:
level_per_effect.update({effect: infit.Cycle((1, ))})
self.level_per_effect = level_per_effect
self.activity_lv_per_effect = activity_lv_per_effect
self.path_per_source = BrokenRadio.detect_files(
self.sources, order_per_source, skip_n_samples_per_source)
self.data_per_source = BrokenRadio.detect_data_per_source(
self.path_per_source)
self.activity_object_per_effect = {
effect: activity_levels.ActivityLevel()
for effect in self.__effects
}
if interlocking == "parallel":
self.maxima_n_events = min(
len(paths) for paths in self.path_per_source)
elif interlocking == "sequential":
self.maxima_n_events = sum(
len(paths) for paths in self.path_per_source)
else:
raise ValueError("Unknown interlocking: {}.".format(interlocking))
if interlocking == "parallel":
self.sample_key_per_event = tuple(
(next(self.source_decider), idx)
for idx in range(self.maxima_n_events))
elif interlocking == "sequential":
self.sample_key_per_event = tools.euclidic_interlocking(*tuple(
tuple((idx, i) for i in range(len(source)))
for idx, source in enumerate(self.path_per_source)))
self.sample_path_per_event = tuple(
self.path_per_source[source_idx][sample_idx]
for source_idx, sample_idx in self.sample_key_per_event)
ig1 = operator.itemgetter(1)
self.duration_per_sample = tuple(
ig1(self.data_per_source[source_idx][sample_idx])
for source_idx, sample_idx in self.sample_key_per_event)
self.duration_per_event = tuple(dps - 1 + next(pause_per_event)
for dps in self.duration_per_sample)
self.maxima_duration = sum(self.duration_per_event)
try:
assert self.maxima_duration > self.duration
except AssertionError:
msg = "Not enough samples for duration {}. Max duration {}".format(
self.duration, self.maxima_duration)
raise ValueError(msg)
def make(name: str = "ONE", gender=True, group=0, sub_group0=0):
return (
segments.Silence(name="{}_silence0".format(name), duration=5),
segments.Chord(
"{}_Bell0".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(0.1, 0),
interpolations.FloatInterpolationEvent(0.2, 1),
interpolations.FloatInterpolationEvent(0, 1),
]),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1),
ji.r(9, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=22,
start=0,
dynamic_range_of_voices=(0.8, 0.9),
voices_entry_delay_per_voice=(0, 0.05, 0.03),
anticipation_time=1.25,
overlaying_time=1.25,
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
preset='"Church Bells original"',
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(8, 1), ji.r(2, 1),
ji.r(9, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="C", idx=1, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=9,
start=0,
dynamic_range_of_voices=(0.05, 0.4),
anticipation_time=0,
overlaying_time=0,
voices_entry_delay_per_voice=(0.025, 0, 0.05),
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
glitter_type="drone",
glitter_register_per_voice=(2, 3, 4),
glitter_volume_per_voice=(0.01, 0.02, 0.04),
glitter_modulater_per_voice=("lfo", "randomi", "lfo"),
glitter_release_duration=7,
glitter_attack_duration=0.2,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell2".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(6, 1), ji.r(2, 1),
ji.r(9, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="B", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=17,
start=6,
dynamic_range_of_voices=(0.87, 1),
voices_entry_delay_per_voice=(0.015, 0, 0.03),
anticipation_time=1.25,
overlaying_time=1.25,
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Silence(name="{}_silence1".format(name), duration=6),
)
def make(name: str = "ONE", gender=False, group=0, sub_group0=1):
return (segments.MelodicCP(
"{}_0".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(0.1, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
volume_envelope_per_track={
"voiceN0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(18, 1),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0),
])
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(1, 1), ji.r(3, 1),
ji.r(4, 3)),
random_seed=1000,
group=(group, sub_group0, 0),
action_per_voice=(0.74, 0.73),
sound_per_voice=(0.85, 0.85),
phrases=(0, 1),
melody_register=0,
melodic_weight=0,
weight_range=(0.5, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=12,
start=0,
dynamic_range_of_voices=(0.5, 0.9),
anticipation_time=0.7,
overlaying_time=1.2,
voices_overlaying_time=3.5,
pteq_engine_per_voice=(
pteq.mk_super_soft_pte(
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(1, 2),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Uniform(0.5, 2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Uniform(0.5, 2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_QUIET),
pitch_factor=infit.Uniform(0.5, 2),
),
)),
likelihood_range=(0.3, 1),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(likelihood_range=(0, 0.1),
volume_range=(0, 0)),
percussion.Rhythmizer(likelihood_range=(0, 0.1),
volume_range=(0, 0)),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=tuple([]),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.45,
radio_shadow_time=0.08,
radio_min_volume=0.955,
), )
def make(name: str = "TWO", gender=False, group=0, sub_group0=1):
return (
segments.Chord(
"{}_Bell0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=5,
start=-3,
# start=0,
dynamic_range_of_voices=(0.6, 0.7),
voices_entry_delay_per_voice=(0.03, 0.07, 0.01),
anticipation_time=6,
overlaying_time=0,
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
volume_envelope_per_track={
"glitterN01":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(4, 1.1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN02":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN12":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
},
glitter_type="drone",
glitter_wave_form_per_voice=("square", "saw", "square"),
glitter_register_per_voice=(2, 3, 3),
glitter_volume_per_voice=(3.85, 4.5, 4.5),
glitter_modulater_per_voice=(None, None, None),
glitter_release_duration=6,
glitter_attack_duration=5,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.FreeStyleCP(
"{}_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(12, 5),
ji.r(9, 5)),
volume_envelope_per_track={
"voiceN0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0.2),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(2, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"voiceN1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0.2),
interpolations.FloatInterpolationEvent(0, 1),
]),
"voiceN2":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0.2),
interpolations.FloatInterpolationEvent(0, 1),
]),
"glitterN01":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.2),
]),
"glitterN02":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN12":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.2),
]),
},
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
group=(group, sub_group0, 0),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
energy_per_voice=(5, 10, 10),
silence_decider_per_voice=(
infit.ActivityLevel(6),
infit.ActivityLevel(3),
infit.ActivityLevel(3),
),
weight_range=(6, 10),
decision_type="activity",
gender=gender,
n_bars=2,
duration_per_bar=14.5,
start=-5,
dynamic_range_of_voices=(0.1, 0.24),
anticipation_time=5.5,
overlaying_time=1.25,
cp_add_dissonant_pitches_to_nth_voice=(False, True, True),
cp_constraints_interpolation=(
counterpoint.constraints.AP_tremolo(
0,
add_tremolo_decider=infit.ActivityLevel(10),
only_on_non_dissonant_pitches=False,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, (4, 11, 5, 6, 7, 4, 3, 4, 19))),
),
counterpoint.constraints.AP_tremolo(
1,
add_tremolo_decider=infit.ActivityLevel(7),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((4, 3, 10, 5, 3, 7, 4, 11, 3, 9,
14), ))),
),
counterpoint.constraints.AP_tremolo(
2,
add_tremolo_decider=infit.ActivityLevel(6),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 5, 8, 5, 6, 12, 8, 9, 10, 4), ))),
),
),
glitter_include_dissonant_pitches=False,
voices_overlaying_time=1,
pteq_engine_per_voice=(
pteq.mk_super_soft_leading_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(
activity_lv=7,
minima_glissando_duration=0.05,
maxima_glissando_duration=0.1,
minima_glissando_size=20,
maxima_glissando_size=70,
), ),
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle(
(2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.3, 0.1),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
distortion=infit.Uniform(0.7, 1.4),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((1, 0.25, 1)),
distortion=infit.Uniform(0.7, 1.3),
),
)),
likelihood_range=(0.1, 0.325),
volume_range=(0.45, 0.64),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2, ),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(1.4, 2.75),
distortion=infit.Uniform(0.3, 1),
), )),
likelihood_range=(0.08, 0.54),
volume_range=(0.54, 0.8),
ignore_beats_occupied_by_voice=False,
seed=39,
),
),
speech_init_attributes={},
glitter_modulater_per_voice=("randomi", "randomh", "randomh"),
glitter_attack_duration=infit.Gaussian(1.2, 0.3),
glitter_release_duration=infit.Gaussian(1, 0.2),
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
# radio_silent_channels=(0, 2, 4),
radio_samples=(
globals.SAM_RADIO_ROEHRENRADIO_FAR_KURZWELLE[0],
globals.SAM_RADIO_ROEHRENRADIO_CLOSE_KURZWELLE[0],
),
radio_n_changes=3,
radio_average_volume=0.425,
radio_shadow_time=0.04,
radio_min_volume=0.725,
radio_attack_duration=infit.Gaussian(1, 0.1),
radio_release_duration=infit.Gaussian(5.2, 0.2),
),
segments.Chord(
"{}_CF_BELL_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1),
ji.r(4, 3)),
group=(group, sub_group0, 1),
chord=harmony.find_harmony(name="C", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=8,
start=-1.35,
dynamic_range_of_voices=(0.4, 0.5),
anticipation_time=2.25,
overlaying_time=3.25,
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_dreamy_pte(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=True,
include_percussion=False,
),
segments.Chord(
"{}_Bell1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 1),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=5,
start=-5,
dynamic_range_of_voices=(0.44, 0.54),
voices_entry_delay_per_voice=(0.03, 0.07, 0.01),
anticipation_time=5,
overlaying_time=0,
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
volume_envelope_per_track={
"glitterN01":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.3),
interpolations.FloatInterpolationEvent(4, 1.1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN02":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.3),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN12":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.3),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
},
glitter_type="drone",
glitter_wave_form_per_voice=("square", "saw", "square"),
glitter_register_per_voice=(3, 3, 4),
glitter_volume_per_voice=(3.65, 4.4, 4.4),
glitter_modulater_per_voice=(None, None, None),
glitter_release_duration=6,
glitter_attack_duration=5,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.MelodicCP(
"{}_1".format(name),
volume_envelope_per_track={
"voiceN0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(10, 2.1),
interpolations.FloatInterpolationEvent(0, 2.7),
]),
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(3, 1),
ji.r(5, 4)),
random_seed=100,
group=(group, sub_group0, 1),
action_per_voice=(0.7, 0.73),
sound_per_voice=(0.82, 0.87),
phrases=(0, ),
melody_register=1,
melodic_weight=0,
weight_range=(0.3, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=9.25,
start=-5,
dynamic_range_of_voices=(0.2, 0.35),
anticipation_time=3,
overlaying_time=2.2,
voices_overlaying_time=3.5,
glitter_attack_duration=infit.Gaussian(2.1, 0.15),
glitter_release_duration=infit.Gaussian(1, 0.15),
tremolo_maker_per_voice=(
None,
None,
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.2675, 0.11))),
tremolo_volume_factor=0.48,
),
),
pteq_engine_per_voice=(
pteq.mk_super_soft_leading_pte(
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.4),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
),
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
percussion_engine_per_voice=(),
speech_init_attributes={},
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=False,
radio_silent_channels=(0, 2, 4),
radio_samples=(globals.SAM_RADIO_PROCESSED_DEGRADE[0], ),
radio_n_changes=2,
radio_average_volume=0.08,
radio_shadow_time=0.08,
radio_min_volume=0.755,
),
segments.MelodicCP(
"{}_2".format(name),
volume_envelope_per_track={
"voiceN0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(13, 2.2),
interpolations.FloatInterpolationEvent(5, 2.75),
interpolations.FloatInterpolationEvent(0, 1),
]),
"voiceN1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(16.5, 1),
interpolations.FloatInterpolationEvent(5, 0.9),
interpolations.FloatInterpolationEvent(0, 0.335),
]),
"voiceN2":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(17, 1),
interpolations.FloatInterpolationEvent(4, 0.9),
interpolations.FloatInterpolationEvent(0, 0.4),
]),
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(3, 1), ji.r(3, 1),
ji.r(5, 4)),
random_seed=1,
group=(group, sub_group0, 2),
action_per_voice=(0.6, 0.63),
sound_per_voice=(0.82, 0.87),
phrases=(0, ),
melody_register=1,
melodic_weight=0,
weight_range=(0.3, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=8.9,
start=0.75,
dynamic_range_of_voices=(0.24, 0.55),
anticipation_time=2,
overlaying_time=2.2,
voices_overlaying_time=3.5,
glitter_attack_duration=infit.Gaussian(1.9, 0.15),
glitter_release_duration=infit.Gaussian(1, 0.15),
tremolo_maker_per_voice=(
None,
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.2675, 0.11))),
tremolo_volume_factor=0.48,
),
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.2675, 0.11))),
tremolo_volume_factor=0.48,
),
),
pteq_engine_per_voice=(
pteq.mk_super_soft_leading_pte(
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.4),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
),
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
percussion_engine_per_voice=(),
speech_init_attributes={},
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=False,
radio_silent_channels=(0, 2, 4),
radio_samples=(globals.SAM_RADIO_PROCESSED_DEGRADE[0], ),
radio_n_changes=2,
radio_average_volume=0.1,
radio_shadow_time=0.08,
radio_min_volume=0.955,
),
segments.Chord(
"{}_Bell2".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(5, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 2),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=8,
start=1,
dynamic_range_of_voices=(0.34, 0.42),
voices_entry_delay_per_voice=(0, 0.09, 0.05),
anticipation_time=0,
overlaying_time=0,
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
)
def make(name: str = "ONE", gender=True, group=0, sub_group0=0):
return (
segments.MelodicCP(
"{}_0".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(11, 1),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.4),
]),
volume_envelope_per_track={
"voiceP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0.7),
interpolations.FloatInterpolationEvent(6, 1.1),
interpolations.FloatInterpolationEvent(2, 1.1),
interpolations.FloatInterpolationEvent(0, 0.4),
]),
"divaP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0.4),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(2, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"voiceP1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
"voiceP2":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(3, 1),
ji.r(5, 4)),
random_seed=1000,
group=(group, sub_group0, 0),
action_per_voice=(0.94, 0.93),
sound_per_voice=(0.89, 0.87),
phrases=(0, ),
melody_register=1,
melodic_weight=0,
weight_range=(0.3, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=13,
start=0,
dynamic_range_of_voices=(0.4, 0.75),
anticipation_time=3,
overlaying_time=2.2,
voices_overlaying_time=3.5,
glitter_attack_duration=infit.Gaussian(1.9, 0.15),
glitter_release_duration=infit.Gaussian(1, 0.15),
tremolo_maker_per_voice=(
None,
None,
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.2675, 0.11))),
tremolo_volume_factor=0.48,
),
),
pteq_engine_per_voice=(
pteq.mk_super_soft_leading_pte(
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.4),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
),
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle(
(2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.85, 0.285),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Gaussian(3, 5),
resonance_filter_bandwidth=infit.Gaussian(
0.8, 0.5),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.3),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Gaussian(3, 4),
resonance_filter_bandwidth=infit.Uniform(0.5, 1),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.1),
),
)),
likelihood_range=(0.6, 0.1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
chord=infit.Cycle((harmony.find_harmony(name="B",
gender=gender), )),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((2, 4, 8, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 4, 2, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.1, 0.5),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=(1, 3, 5),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(
globals.SAM_RADIO_PROCESSED_DEGRADE[0],
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.45,
radio_shadow_time=0.08,
radio_min_volume=0.955,
),
segments.MelodicCP(
"{}_1".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(0.1, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
volume_envelope_per_track={
"voiceP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0.5),
interpolations.FloatInterpolationEvent(18, 1),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"voiceP1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(21, 1),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(3, 0.7),
interpolations.FloatInterpolationEvent(0, 0.135),
])
},
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(3, 2), ji.r(3, 1),
ji.r(5, 4)),
random_seed=1000,
group=(group, sub_group0, 1),
action_per_voice=(0.94, 0.97),
sound_per_voice=(0.96, 0.96),
phrases=(1, 2),
melody_register=1,
melodic_weight=0,
weight_range=(0.5, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=13,
start=0.72,
glitter_attack_duration=infit.Gaussian(1, 0.15),
glitter_release_duration=infit.Gaussian(1, 0.15),
dynamic_range_of_voices=(0.55, 0.9),
anticipation_time=1,
overlaying_time=1.5,
voices_overlaying_time=4,
tremolo_maker_per_voice=(
None,
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.23, 0.12))),
tremolo_volume_factor=0.39,
),
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.09, 0.03))),
tremolo_volume_factor=0.42,
),
),
pteq_engine_per_voice=(
pteq.mk_super_soft_leading_pte(
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle(
(2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.89, 0.5),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
chord=infit.Cycle((
harmony.find_harmony(name="B", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Gaussian(3, 5),
resonance_filter_bandwidth=infit.Gaussian(
0.8, 0.5),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.3),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Gaussian(3, 4),
resonance_filter_bandwidth=infit.Uniform(0.5, 1),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.1),
),
)),
likelihood_range=(0.8, 0.1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
chord=infit.Cycle((harmony.find_harmony(name="B",
gender=gender), )),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((2, 4, 8, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(0.8, 2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 4, 2, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.1, 0.7),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=(1, 3),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.4,
radio_shadow_time=0.08,
radio_min_volume=0.955,
),
segments.Chord(
"{}_CF_BELL_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1),
ji.r(4, 3)),
group=(group, sub_group0, 2),
chord=harmony.find_harmony(name="A", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=8,
start=-0.75,
dynamic_range_of_voices=(0.8, 1),
anticipation_time=0.1,
overlaying_time=0.25,
voices_entry_delay_per_voice=(0, 0.05, 0.08),
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_dreamy_pte(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
speech_init_attributes={},
glitter_type="drone",
glitter_register_per_voice=(4, 5, 5),
glitter_volume_per_voice=(0.85, 0.94, 0.95),
glitter_modulater_per_voice=("lfo", "lfo", "lfo"),
glitter_release_duration=7,
glitter_attack_duration=0.2,
radio_shadow_time=0,
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=False,
),
segments.MelodicCP(
"{}_2".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(0.1, 0),
interpolations.FloatInterpolationEvent(24, 1),
interpolations.FloatInterpolationEvent(3, 1),
interpolations.FloatInterpolationEvent(2, 0.9),
interpolations.FloatInterpolationEvent(0, 0.45),
]),
volume_envelope_per_track={
"voiceP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0.65),
interpolations.FloatInterpolationEvent(30, 0.8),
interpolations.FloatInterpolationEvent(5, 0.8),
interpolations.FloatInterpolationEvent(0, 0.1),
])
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(8, 1), ji.r(3, 1),
ji.r(2, 1)),
random_seed=1000,
group=(group, sub_group0, 2),
action_per_voice=(0.82, 0.81),
sound_per_voice=(0.75, 0.74),
phrases=(3, 3),
melody_register=1,
melodic_weight=0,
weight_range=(0.5, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=12.75,
start=-3.5,
dynamic_range_of_voices=(0.3, 0.5),
anticipation_time=2,
overlaying_time=3.2,
voices_overlaying_time=4.5,
pteq_engine_per_voice=(
pteq.mk_super_soft_trippy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(
activity_lv=7,
minima_glissando_duration=0.05,
maxima_glissando_duration=0.1,
minima_glissando_size=20,
maxima_glissando_size=70,
), ),
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/Marimba_no_stretching.fxp"',
preset=None,
sustain_pedal=0,
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/Marimba_no_stretching.fxp"',
preset=None,
sustain_pedal=0,
),
),
diva_engine_per_voice=(diva.FlageoletDivaMidiEngine, None, None),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(0.8, 2),
distortion=infit.Uniform(0, 1, seed=0),
), )),
likelihood_range=(0.1, 0.2),
volume_range=(0, 0.001),
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(0.7, 1.7),
distortion=infit.Uniform(0, 2, seed=0),
), )),
likelihood_range=(0.08, 0.55),
volume_range=(0.54, 0.8),
ignore_beats_occupied_by_voice=True,
seed=39,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(0.4, 1),
distortion=infit.Uniform(0.4, 1.8),
), )),
likelihood_range=(0.1, 0.2),
volume_range=(0, 0.01),
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=tuple([]),
glitter_modulater_per_voice=("randomh", "randomh", "randomh"),
glitter_attack_duration=infit.Gaussian(0.75, 0.15),
glitter_release_duration=infit.Gaussian(1.8, 0.25),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_ITALY[-2]),
radio_n_changes=4,
radio_average_volume=0.4,
radio_shadow_time=0.08,
radio_min_volume=0.855,
),
segments.Silence(name="{}_silence0".format(name), duration=11),
)
def make(name: str = "THREE", gender=False, group=0, sub_group0=2):
return (
segments.Chord(
"{}_Bell0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(4, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=5,
start=-2,
# start=0,
dynamic_range_of_voices=(0.3, 0.4),
voices_entry_delay_per_voice=(0.03, 0.07, 0.01),
anticipation_time=4,
overlaying_time=0,
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
volume_envelope_per_track={
"glitterN01":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(1, 0.5),
interpolations.FloatInterpolationEvent(4, 1.1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN02":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(1, 0.5),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN12":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(1, 0.5),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
},
glitter_type="drone",
glitter_wave_form_per_voice=("square", "sine", "sine"),
glitter_register_per_voice=(3, 4, 4),
glitter_volume_per_voice=(3.85, 4.5, 4.5),
glitter_modulater_per_voice=(None, None, None),
glitter_release_duration=4,
glitter_attack_duration=4,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.FreeStyleCP(
"{}_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(12, 5),
ji.r(9, 5)),
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
group=(group, sub_group0, 0),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
energy_per_voice=(9, 10, 9),
silence_decider_per_voice=(
infit.ActivityLevel(2),
infit.ActivityLevel(3),
infit.ActivityLevel(3),
),
weight_range=(5, 10),
decision_type="activity",
gender=gender,
n_bars=3,
duration_per_bar=12.75,
start=-5,
dynamic_range_of_voices=(0.175, 0.55),
anticipation_time=2,
overlaying_time=1.25,
cp_add_dissonant_pitches_to_nth_voice=(False, True, True),
cp_constraints_interpolation=(
counterpoint.constraints.AP_tremolo(
0,
add_tremolo_decider=infit.ActivityLevel(10),
only_on_non_dissonant_pitches=False,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))),
),
counterpoint.constraints.AP_tremolo(
1,
add_tremolo_decider=infit.ActivityLevel(8),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))),
),
counterpoint.constraints.AP_tremolo(
2,
add_tremolo_decider=infit.ActivityLevel(8),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((6, 9, 8, 12, 10, 8, 10, 13, 6, 4), ))),
),
),
volume_envelope_per_track={
"voiceN0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(20, 1),
interpolations.FloatInterpolationEvent(0, 1),
])
},
glitter_include_dissonant_pitches=False,
voices_overlaying_time=2,
pteq_engine_per_voice=(
pteq.mk_soft_leading_overdrive_harp_pte(
fxp='"pbIII/fxp/Harp_with_overdrive.fxp"',
preset=None,
sustain_pedal=1,
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 2, 0.25, 1)),
glissando_size=infit.Gaussian(0.8, 0.2),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.1, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
glissando_size=infit.Gaussian(0.9, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.2, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 0.25, 1, 0.5)),
glissando_size=infit.Gaussian(1.15, 0.2),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.3, 0.5),
),
)),
likelihood_range=(0.1, 0.7),
volume_range=(0.3, 0.45),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
distortion=infit.Uniform(0, 1),
glissando_size=infit.Gaussian(1.15, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.25, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((1, 2, 0.25, 1)),
distortion=infit.Uniform(0, 0.5),
glissando_size=infit.Gaussian(0.9, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.25, 0.48),
),
)),
likelihood_range=(0.1, 0.655),
volume_range=(0.45, 0.6),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2, ),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(1.4, 2.75),
distortion=infit.Uniform(0.3, 1),
), )),
likelihood_range=(0.08, 0.26),
volume_range=(0.54, 0.8),
ignore_beats_occupied_by_voice=False,
seed=39,
),
),
speech_init_attributes={},
glitter_modulater_per_voice=(None, None, None),
glitter_attack_duration=infit.Gaussian(1.9, 0.3),
glitter_release_duration=infit.Gaussian(2, 0.2),
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
# radio_silent_channels=(0, 2, 4),
radio_samples=(
globals.SAM_RADIO_ROEHRENRADIO_FAR_KURZWELLE[0],
globals.SAM_RADIO_ROEHRENRADIO_CLOSE_KURZWELLE[0],
),
radio_n_changes=3,
radio_average_volume=0.34,
radio_shadow_time=0.02,
radio_min_volume=0.7,
radio_attack_duration=infit.Gaussian(2, 0.1),
radio_release_duration=infit.Gaussian(5.2, 0.2),
),
segments.FreeStyleCP(
"{}_1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 4), ji.r(8, 3),
ji.r(9, 7)),
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
group=(group, sub_group0, 1),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
energy_per_voice=(8.5, 5, 6),
silence_decider_per_voice=(
infit.ActivityLevel(1),
infit.ActivityLevel(1),
infit.ActivityLevel(1),
),
weight_range=(0.5, 1),
decision_type="random",
random_seed=1000,
gender=gender,
n_bars=2,
duration_per_bar=12.5,
start=0.33,
dynamic_range_of_voices=(0.185, 0.88),
anticipation_time=1.5,
overlaying_time=1.25,
cp_add_dissonant_pitches_to_nth_voice=(False, True, True),
cp_constraints_interpolation=(
counterpoint.constraints.AP_tremolo(
0,
add_tremolo_decider=infit.ActivityLevel(10),
only_on_non_dissonant_pitches=False,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))),
),
counterpoint.constraints.AP_tremolo(
1,
add_tremolo_decider=infit.ActivityLevel(9),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))),
),
counterpoint.constraints.AP_tremolo(
2,
add_tremolo_decider=infit.ActivityLevel(9),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((6, 9, 8, 12, 10, 8, 10, 13, 6, 4), ))),
),
),
volume_envelope_per_track={
"voiceN0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(20, 1),
interpolations.FloatInterpolationEvent(0, 1),
])
},
glitter_include_dissonant_pitches=False,
voices_overlaying_time=2,
pteq_engine_per_voice=(
pteq.mk_soft_leading_overdrive_harp_pte(
fxp='"pbIII/fxp/Harp_with_overdrive.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 2, 0.25, 1)),
glissando_size=infit.Gaussian(0.8, 0.2),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.1, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
glissando_size=infit.Gaussian(0.9, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.2, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 0.25, 1, 0.5)),
glissando_size=infit.Gaussian(1.15, 0.2),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.3, 0.5),
),
)),
likelihood_range=(0.15, 0.9),
volume_range=(0.3, 0.45),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
distortion=infit.Uniform(0, 1),
glissando_size=infit.Gaussian(1.15, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.25, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((1, 2, 0.25, 1)),
distortion=infit.Uniform(0, 0.5),
glissando_size=infit.Gaussian(0.9, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.25, 0.48),
),
)),
likelihood_range=(0.15, 0.855),
volume_range=(0.45, 0.6),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2, ),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(1.4, 2.75),
distortion=infit.Uniform(0.3, 1),
), )),
likelihood_range=(0.08, 0.26),
volume_range=(0.54, 0.8),
ignore_beats_occupied_by_voice=False,
seed=39,
),
),
speech_init_attributes={},
glitter_modulater_per_voice=(None, None, None),
glitter_attack_duration=infit.Gaussian(1.9, 0.3),
glitter_release_duration=infit.Gaussian(2, 0.2),
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
# radio_silent_channels=(0, 2, 4),
radio_samples=(
globals.SAM_RADIO_ROEHRENRADIO_FAR_KURZWELLE[0],
globals.SAM_RADIO_ROEHRENRADIO_CLOSE_KURZWELLE[0],
),
radio_n_changes=5,
radio_average_volume=0.4,
radio_shadow_time=0.02,
radio_min_volume=0.8,
radio_attack_duration=infit.Gaussian(2, 0.1),
radio_release_duration=infit.Gaussian(5.2, 0.2),
),
)
def make(name: str = "ONE", gender=True, group=0, sub_group0=0):
return (segments.Chord(
"{}_fadeIn".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(5, 0),
interpolations.FloatInterpolationEvent(4, 0.35),
interpolations.FloatInterpolationEvent(0.2, 1),
interpolations.FloatInterpolationEvent(0, 1),
]),
volume_envelope_per_track={
"percussion_P2":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(10, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
"percussion_P1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(10, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
"percussion_P0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(10, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1),
ji.r(9, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=14,
start=0,
dynamic_range_of_voices=(0.8, 0.9),
anticipation_time=1.25,
overlaying_time=1.25,
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle((2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.5, 0.1),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Gaussian(4, 6),
resonance_filter_bandwidth=infit.Gaussian(0.4, 0.3),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.3),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Gaussian(3, 4),
resonance_filter_bandwidth=infit.Uniform(0.5, 1),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.1),
),
)),
likelihood_range=(0.6, 0.1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
chord=infit.Cycle((harmony.find_harmony(name="B",
gender=gender), )),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((2, 4, 8, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 4, 2, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.1, 0.5),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
),
radio_samples=(
globals.SAM_RADIO_PROCESSED_DEGRADE[0],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_average_volume=0.75,
radio_min_volume=0.955,
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=True,
include_percussion=True,
include_voices=False,
), )
def make(name: str = "TWO", gender=False, group=0, sub_group0=1):
return (
segments.Chord(
"{}_Bell0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=15,
start=0,
dynamic_range_of_voices=(0.3, 0.385),
voices_entry_delay_per_voice=(0.03, 0, 0.05),
anticipation_time=1.25,
overlaying_time=1.25,
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(11, 1), ji.r(2, 1),
ji.r(15, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="B", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=8,
start=-12.7,
dynamic_range_of_voices=(0.45, 0.55),
anticipation_time=0.2,
overlaying_time=1.25,
glitter_modulater_per_voice=("randomh", "randomh", "randomh"),
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell2".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(13, 1), ji.r(2, 1),
ji.r(15, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="F", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=14,
start=5.75,
dynamic_range_of_voices=(0.8, 0.9),
anticipation_time=0,
overlaying_time=0,
voices_entry_delay_per_voice=(0, 0.05, 0.1),
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
glitter_type="drone",
glitter_register_per_voice=(5, 5, 5),
glitter_volume_per_voice=(0.3, 0.3, 0.3),
glitter_modulater_per_voice=(None, None, None),
glitter_release_duration=7,
glitter_attack_duration=0.5,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell3".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(4, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=10,
start=-4.25,
# start=0,
dynamic_range_of_voices=(0.95, 1),
voices_entry_delay_per_voice=(0, 0.15, 0.225),
anticipation_time=5.5,
overlaying_time=0,
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
volume_envelope_per_track={
"glitterN01":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.3),
]),
"glitterN02":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.3),
]),
"glitterN12":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.3),
]),
},
glitter_type="drone",
glitter_register_per_voice=(5, 5, 5),
glitter_volume_per_voice=(3.5, 3.5, 3.5),
glitter_modulater_per_voice=(None, None, None),
glitter_release_duration=5,
glitter_attack_duration=8,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
)